👉 Subscribe here: http://bit.ly/2xMQLbS 🕊️ Follow us on Twitter: http://bit.ly/2xAQklN 💙 Like us on Facebook for free event tickets: http://bit.ly/2xPfjkh 📷 Don’t forget to follow us on Instagram: http://bit.ly/2eHmfJp Get the presentation slides here: http://bit.ly/2r0rmIA Find out more about us: http://bit.ly/2vKyPxW 💻 Understanding how to access and interpret data is critical for the modern Product Manager. In this session, a data scientist at Airbnb taught the basics in data-informed thinking as well as resources and tools for SQL, python and R. She discussed how you can up-level your skills in interpreting A/B tests, incrementally, and when and why to use Machine Learning techniques. Dr. Theresa Johnson is a data scientist on Supply Growth at Airbnb, a two-sided marketplace for travel. She also steps in to product manage for her team, and recently shipped Paid Photography globally. Dr. Johnson came to data science with a PhD in Aeronautics and Astronautics from Stanford University. She currently serves as a founding board member for Street Code Academy, a non-profit dedicated to connecting culture, community and technology in East Palo Alto. She also serves on the special panel on data science interviewing and is a co-founding member of Stddev (Standard Deviation), Airbnb's employee resource group for Underrepresented Minorities in technical fields. Theresa is passionate about extending technology access for everyone and finding mission driven companies that can have an outsized impact on the world. Chapter 1 1:25 What is data science? Chapter 2 2:20 What characteristics should you expect from a data scientist? Chapter 3 5:00 Data informed, not data driven Chapter 4 6:55 Challenges that a Product Manager faces with data scientists Chapter 5 8:10 Who are the data scientists? Chapter 6 10:05 The data stack levels Chapter 7 14:25 Centralized, embedded and hybrid model Chapter 8 19:15 Airbnb principles for decision-making Chapter 9 20:25 Cross-functional teams Chapter 10 21:40 Leveraging data insights Chapter 11 24:05 Machine learning vision at Airbnb Chapter 12 30:20 Experimentation at Airbnb Chapter 13 33:50 Unique characteristics about experimentation at Airbnb Chapter 14 38:35 Launching professional photography at Airbnb Chapter 15 57:10 Questions from the audience ABOUT US: We host product management, data and coding events every week in Silicon Valley, San Francisco, Los Angeles, Santa Monica, Orange County and New York. Click here to see what we have coming up: http://bit.ly/2gOwkoa Product School is the world’s first tech business school. We offer certified Product Management, Coding, and Data courses; our instructors are real-world managers working at top tech companies such as Google, Facebook, Snapchat, Airbnb, LinkedIn, PayPal, and Netflix. Our classes are part-time, designed to fit into your work schedule, and the campuses are located in Silicon Valley, San Francisco, New York, Orange County and Los Angeles. Product leaders from local top tech companies visit Product School campuses each week. Through lectures, panel discussions, and a variety of other forums, the world’s top product managers visit Product School to provide invaluable real-world insights into critical management issues. If you want to become a product manager in 8 weeks, see our upcoming courses here: http://bit.ly/2vKyPxW 📓 The Product Book has arrived! Learn how to become a great Product Manager. On sale for a limited time. Get your copy here: http://amzn.to/2uJqg9A #ProductManagement #ProductSchool #Upskill #TechEducation #Education #Product #TechStartup #FinTech #Business #ProductManager #ProdMgmt
Views: 12223 Product School San Francisco
What does it mean to embed the intelligence from Big Data into new product development (NPD)? How will Big Data power consumer products and services in the era of Analytics 3.0? In this webinar, Tom Davenport and Kobi Gershoni partner to answer these questions and describe the changing landscape of Big Data in NPD. They will explain the practical challenges facing organizations today, and share the key success factors for embedding Big Data in the new product development cycle. Visit: innovationexcellence.com/bigdata
Views: 937 innovationexcellence
Product Management event in New York about how to build data products. 👉 Subscribe here: http://bit.ly/2xMQLbS 🕊️ Follow us on Twitter: http://bit.ly/2xAQklN 💙 Like us on Facebook for free event tickets: http://bit.ly/2xPfjkh 📷 Check us out on Instagram: http://bit.ly/2eHmfJp Get the presentation slides here: http://bit.ly/2r0rmIA Find out more about us: http://bit.ly/2vrJ5iT 💻 It's a Product Manager's job to champion the voice of the user and align the team around solving core user problems that have the highest business and user impact. Inga shared strategies and tools to keep the team focused on the user and on problems worth solving. She put these tools into context by walking through a case study following the product development of Squarespace's most popular iOS and Android apps, Squarespace Analytics. Inga Chen is a Product Manager at Squarespace leading the user-facing analytics team. Here they are turning data into actionable insights across web and mobile to help Squarespace's millions of websites and online stores make better decisions about their businesses. Previously, Inga was a Product Manager of data insights, fleet telematics and AutoSmog at Automatic Labs, a connected car IoT startup that was acquired by SiriusXM leveraging machine learning and data science to empower drivers with insights into their driving behavior and car health. Before Automatic, Inga was an investment banker advising on tech M&A transactions at Jefferies. ABOUT US: Product School is the world’s first tech business school. We offer certified Product Management, Coding, Data and Blockchain courses; our instructors are real-world product managers working at top tech companies such as Google, Facebook, Snapchat, Airbnb, LinkedIn, PayPal, and Netflix. Our classes are part-time, designed to fit into your work schedule, and the campuses are located in 14 cities worldwide, including Silicon Valley, New York, Los Angeles and London. See our upcoming courses here: http://bit.ly/2vrJ5iT In addition to classes, each of our campuses host weekly events with top industry professionals about Product Management, Data, Coding and Blockchain. Click here to see what we have coming up: http://bit.ly/2qHMQf7 Product leaders from local top tech companies visit Product School campuses each week. Through lectures, panel discussions, and a variety of other forums, the world’s top product managers visit Product School to provide invaluable real-world insights into critical management issues. 📓 The Product Book has arrived! Learn how to become a great Product Manager. Get your copy here: http://amzn.to/2uJqg9A #ProductManagement #ProductSchool #Upskill #TechEducation #Education #Product #TechStartup #FinTech #Business #ProductManager #ProdMgmt
Views: 750 Product School San Francisco
Data Analytics Event in New York about What Is Data-Driven Product Development. 👉 Subscribe here: http://bit.ly/2xMQLbS 🕊️ Follow us on Twitter: http://bit.ly/2xAQklN 💙 Like us on Facebook for free event tickets: http://bit.ly/2xPfjkh 📷 Check us out on Instagram: http://bit.ly/2eHmfJp Get the presentation slides here: https://prdct.school/2mIt80z Find out more about us: https://prdct.school/2JT8Tq8 💻 In this talk, Lisa shared her insights on how to implement a full cycle of collaborative, data-driven product development. She explained how to use qualitative and quantitative research to make product decisions, and how to facilitate design and ideation workshops to encourage team problem solving. This talk went deep into real-world case studies from the digital fitness space. Lisa Zhu is a Senior Product Manager leading the Consumer Engagement team at Aaptiv, a digital fitness startup. In her current role, she built out her organization’s product processes from the bottom up, while successfully increasing user engagement by 15% platform-wide. Previously, she spent time at Spring, PayPal, McKinsey and Teach for America. Lisa attended the University of Pennsylvania, and loves running marathons in her spare time. ABOUT US: Product School is the world’s first tech business school. We offer certified Product Management, Coding, Data and Blockchain courses; our instructors are real-world product managers working at top tech companies such as Google, Facebook, Snapchat, Airbnb, LinkedIn, PayPal, and Netflix. Our classes are part-time, designed to fit into your work schedule, and the campuses are located in 14 cities worldwide, including Silicon Valley, New York, Los Angeles and London. See our upcoming courses here: https://prdct.school/2JT8Tq8 In addition to classes, each of our campuses host weekly events with top industry professionals about Product Management, Data, Coding and Blockchain. Click here to see what we have coming up: https://prdct.school/2AbzejE Product leaders from local top tech companies visit Product School campuses each week. Through lectures, panel discussions, and a variety of other forums, the world’s top product managers visit Product School to provide invaluable real-world insights into critical management issues. 📓 The Product Book has arrived! Learn how to become a great Product Manager. Get your copy here: http://amzn.to/2uJqg9A #ProductManagement #ProductSchool #Upskill #TechEducation #Strategy #TechSkills #Product #PayPal
Views: 551 Product School San Francisco
Data Analytics in Product Management Event in San Francisco about how to build a data analytics strategy. 👉 Subscribe here: http://bit.ly/2xMQLbS 🕊️ Follow us on Twitter: http://bit.ly/2xAQklN 💙 Like us on Facebook for free event tickets: http://bit.ly/2xPfjkh 📷 Don’t forget to follow us on Instagram: http://bit.ly/2eHmfJp Get the presentation slides here: http://bit.ly/2r0rmIA Find out more about us: http://bit.ly/2x4uytO 💻 How do you build and implement an effective product analytics strategy that quantifies and drives product success and iteration? Building an analytics strategy is crucial for every product manager. In this Q&A session, Ali Khodaei talked about data analytics no longer being a luxury, but a competitive and integral need for Product Managers. Product Managers need to understand not only who their users are but how they behave and know the metrics. He also discussed the importance of understanding the product ecosystem, how tools interact, and how you can position analytics from a product perspective across your company. Ali Khodaei is a Group Product Manager at LinkedIn. He has over 6 years of product experience with companies such as LinkedIn, Microsoft and Yahoo! He holds a PhD in Computer Science and a Master's degree in Computer Science. Chapter 1 0:25 Speaker background Chapter 2 2:30 Do you consider a scroll an engagement? Chapter 3 5:05 How do you evaluate the performance of a product that is very backendy? Chapter 4 7:00 What type of research do you do to understand the the user quality/quantity? Chapter 5 13:10 Do you prefer to hear more about the actual problem your customers have or the features that they want to have? Chapter 6 17:15 How does LinkedIn prioritize the content they show to the users? Chapter 7 23:00 How does LinkedIn choose the people that they user should connect with or contact? Chapter 8 30:00 Can LinkedIn use the data they collect from outside LinkedIn? Chapter 9 35:40 How does LinkedIn decide what is relevant and how does the algorithm work for showing the relevant things? Chapter 10 44:00 Where do you see a shortage in work force at LinkedIn in 5 years? Chapter 11 48:40 What do you do to get data from your team (engineers, designers, data scientists, etc.? Chapter 12 52:00 There are different models that product managers work with. Which one do you prefer? ABOUT US: We host product management, data and coding events every week in Silicon Valley, San Francisco, Los Angeles, Santa Monica, Orange County and New York. Click here to see what we have coming up: http://bit.ly/2yOJw4s Product School is the world’s first tech business school. We offer certified Product Management, Coding, and Data courses; our instructors are real-world managers working at top tech companies such as Google, Facebook, Snapchat, Airbnb, LinkedIn, PayPal, and Netflix. Our classes are part-time, designed to fit into your work schedule, and the campuses are located in Silicon Valley, San Francisco, New York, Orange County and Los Angeles. Product leaders from local top tech companies visit Product School campuses each week. Through lectures, panel discussions, and a variety of other forums, the world’s top product managers visit Product School to provide invaluable real-world insights into critical management issues. If you want to become a product manager in 8 weeks, see our upcoming courses here: http://bit.ly/2x4uytO 📓 The Product Book has arrived! Learn how to become a great Product Manager. On sale for a limited time. Get your copy here: http://amzn.to/2uJqg9A #ProductManagement #ProductSchool #Upskill #TechEducation #Education #Product #TechStartup #FinTech #Business #ProductManager #ProdMgmt
Views: 4133 Product School San Francisco
Developing Data Science products - Agile approach at Grupa Pracuj Jan Zyśko, Magdalena Kalbarczyk Description We use a case study to present the approach to developing Data Science products at Grupa Pracuj. Agile development and maintenance of such products pose unique challenges, as their usability strongly depends on having accurate models and efficient data pipelines. In the talk we go through different phases of development of one such product, which employs Deep Learning to solve an NLP problem. Abstract There is a long and bumpy road from defining business needs to creating useful and understandable Data Science tool for either internal or external users. Undertaking such task requires preparing data flows, developing Machine Learning models, and presenting the results to end users. Moreover, it all has to be done in close collaboration with Business, in order to ensure rapid prototyping and maximum impact. In this talk, we present a case study of one such project. During the last several months we tried to address the need for predicting pracuj.pl users’ behaviour. We started with an experiment, which helped us to see if users behave predictably enough on a macro scale for our models to achieve useful results. After obtaining promising results, we then moved on to create an MVP for internal usage, to see if the product would be useful as a Django application for our CC department. At this point we had a fairly complicated technology stack - Python, Hadoop, SQL Server, and AWS. This is because we prioritized development speed over seamless integration. When the usability and usefulness of the application was confirmed, we moved over to the creation of a proper ETL, which minimizes the integration and security issues and offers good scalability and computing costs. These works will most likely extend to Q4. Our future plans for the project involve, in addition to continuous work on model accuracy, tapping into the very recent research on the interpretability of NLP models, in order to provide our end users with actionable feedback. Moreover, we are looking into the possibility of presenting the insights from the model directly to the pracuj.pl customers. 1. Introduction Big Data at Grupa Pracuj Problem description 2. Solution development The experimental phase Building an application and further model development Pushing to production 3. What we have learned Insights for Data Scientists Advice for Product Owners 4. Questions www.pydata.org PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
Views: 1755 PyData
John V Willshire founded Smithery in 2011: a product and marketing innovation studio which helps companies make things people want, rather than make people want things.
Views: 618 ad:tech, iMedia & MMS London
Big Data and Big Data Analytics are hot topics for companies today – people are considering and discussing the possible value, tactics, approaches and investments to leverage the promise of these technologies and capabilities. You can hardly avoid the subject and not develop an opinion or position. Specifically, people who work in Innovation, New Product Development (NPD) and Innovation Management are expected to take a position regarding Big Data requirements. This webinar’s objective is to contribute to this discussion and your Big Data strategy from the perspective of Innovation Management: • Where and how could the big data opportunity add value to innovation strategies? • Is it Portfolio Management or operational Innovation Performance? • How can Innovation Managers contribute to a company’s Big Data approach? • How Big Data can be used to improve your Innovation Management. • What it takes to implement Big Data capabilities. To view the entire webinar, visit: http://budurl.com/nz9l
Views: 227 Sopheon
This talk was given at a local TEDx event, produced independently of the TED Conferences. 2,500,000,000,000,000,000 bytes of data (2.5 exabytes) every day is what we currently generate. The mid-decade turning point we are now experiencing is an unprecedented ability to process these data, to generate insights. These insights, gleaned from new data processing techniques, can impact how we shop, how we find jobs, dating, and even how doctors diagnose illnesses. Dr. Charles W. Stryker is the Founder and President of a professional advisory firm, Venture Development Center, Inc. (VDC), and he has been recently recognized as the Data Innovator of the Year 2013. His business has a focused practice of assisting “Big Data” firms in creating, developing and commercializing Information Services properties. He has served on the board of a number of both public and private companies. His current board appointments include: Avention, Data Mentors, Datamyx, Geoscape, Innography, Jobvite, NetFactor, Netwise, RDC, The Retail Equation, Triton Technologies, and V12. Dr. Stryker has received the BS and MS degrees in Electrical Engineering and the Ph.D. in Computer Science from New York University. He has been an active speaker and author on the topic of database product development. In addition to these academic credentials, from 1991 to 1999 Dr. Stryker was a part time faculty member at the University of Pennsylvania, Wharton School where he taught a number of courses in its Entrepreneurial Center. About TEDx, x = independently organized event In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)
Views: 137706 TEDx Talks
Big Data Week 2016 - Register today and get 25% off! Use YouTube_25 discount code: http://www.eventbrite.com/e/big-data-in-use-conference-big-data-week-london-2016-tickets-22531697915?aff=YouTube This talk will focus on unleashing the power of big data technologies to create personalised, user-centric products and services. We will share our insights and experiences on the value of offering the right product to the right customer at the right time to increase uptake. Today’s consumers have more options than ever before and therefore, personalised and relevant engagement is key. We will talk about analytics for omni-channel experiences that ultimately drive customer satisfaction, loyalty, retention and growth. We will also share insights on measuring the impact using machine learning and social data analytics.
Views: 560 Big Data Week
Jan. 22 -- Ford Motor Group Vice President of Global Product Development Raj Nair discusses the company’s new Research and Innovation Center in Palo Alto. He speaks on “Bottom Line.” -- Subscribe to Bloomberg on YouTube: http://www.youtube.com/Bloomberg Bloomberg Television offers extensive coverage and analysis of international business news and stories of global importance. It is available in more than 310 million households worldwide and reaches the most affluent and influential viewers in terms of household income, asset value and education levels. With production hubs in London, New York and Hong Kong, the network provides 24-hour continuous coverage of the people, companies and ideas that move the markets.
Views: 6634 Bloomberg
At every company there are volumes of historical data that trace the birth, life and death of the products that we touch and use every day. What if we took all of this data and tried to write a new story? Could it be put to use to predict the future? Could it tell us how to innovate better next time? In the second video of our KNOW series, we explore the application of advanced analytics to product development data. Using product lifecycle intelligence (PLI), we can now predict the outcomes of product development and prescribe recommendations to make the future better – both for companies that make products and the people who use them. www.kalypso.com/pli
Views: 188 Kalypso
In this Big Data Analytics video, you will see why Big Data analytics is required, what is Big Data analytics, the lifecycle of Big Data analytics, types of Big Data analytics, tools used in Big Data analytics and few Big Data application domains. Also, we'll see a use case on how Spotify uses Big Data analytics. Big Data analytics is a process to extract meaningful insights from Big Data such as hidden patterns, unknown correlations, market trends, and customer preferences. One of the essential benefits of Big Data analytics is used for product development and innovations. Now, let us get started and understand Big Data Analytics in detail. Below are explained in this Big Data analytics tutorial: 1. Why Big Data analytics? (00:34) 2. What is Big Data analytics? (02:27) 3. Lifecycle of Big Data analytics (10:14) 4. Types of Big Data analytics (12:46) 5. Tools used in Big Data analytics (21:08) 6. Big Data application domains (23:54) To learn more about Hadoop, subscribe to our YouTube channel: https://www.youtube.com/user/Simplilearn?sub_confirmation=1 To access the slides, click here: https://www.slideshare.net/Simplilearn/big-data-analytics-what-is-big-data-analytics-big-data-analytics-for-beginners-simplilearn/Simplilearn/big-data-analytics-what-is-big-data-analytics-big-data-analytics-for-beginners-simplilearn Watch more videos on Hadoop training: https://www.youtube.com/watch?v=CKLzDWMsQGM&list=PLEiEAq2VkUUJqp1k-g5W1mo37urJQOdCZ #BigData #BigDataAnalytics #BigDataTutorial #BigDataAnalyticsForBeginners #BigDataTutorial #LearnHadoop #HadoopTraining #HadoopCertification #SimplilearnHadoop #Simplilearn Simplilearn’s Big Data Hadoop training course lets you master the concepts of the Hadoop framework and prepares you for Cloudera’s CCA175 Big Data certification. With our online Hadoop training, you’ll learn how the components of the Hadoop ecosystem, such as Hadoop 3.4, Yarn, MapReduce, HDFS, Pig, Impala, HBase, Flume, Apache Spark, etc. fit in with the Big Data processing lifecycle. Implement real-life projects in banking, telecommunication, social media, insurance, and e-commerce on CloudLab. What is this Big Data Hadoop training course about? The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab. What are the course objectives? This course will enable you to: 1. Understand the different components of the Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark 2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management 3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts 4. Get an overview of Sqoop and Flume and describe how to ingest data using them 5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning 6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution 7. Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations 8. Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS 9. Gain a working knowledge of Pig and its components 10. Do functional programming in Spark 11. Understand resilient distribution datasets (RDD) in detail 12. Implement and build Spark applications 13. Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques 14. Understand the common use-cases of Spark and the various interactive algorithms 15. Learn Spark SQL, creating, transforming, and querying Data frames Who should take up this Big Data and Hadoop Certification Training Course? Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology for the following professionals: 1. Software Developers and Architects 2. Analytics Professionals 3. Senior IT professionals 4. Testing and Mainframe professionals 5. Data Management Professionals 6. Business Intelligence Professionals 7. Project Managers 8. Aspiring Data Scientists Learn more at: https://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training?utm_campaign=Big-Data-Analytics-bY6ZzQmtOzk&utm_medium=Tutorials&utm_source=youtube For more information about Simplilearn courses, visit: - Facebook: https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn - LinkedIn: https://www.linkedin.com/company/simplilearn/ - Website: https://www.simplilearn.com Get the Android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0
Views: 1540 Simplilearn
Stephen Wunker is a specialist in new markets, he combines world-class strategy consulting and entrepreneurial skills. Wunker is the author of Capturing New Markets: How Smart Companies Create Opportunities Others Don't, named one of the five Best Business Books of 2011, as well as co-author of Jobs to be Done: A Roadmap for Customer Centered Innovation (Amacom, 2016). Steve has a long track record of creating successful ventures for his own companies and on behalf of clients. #DESCRIPTION Stephen Wunker cautions companies on the use of Big Data for marketing and product development purposes. He talks about the importance of understanding the data and unless the right questions have been asked why the data may be of little importance. Wunker discusses that it is the why behind the data that should matter when it comes to its usefulness. Subscribe for more SarderTV: http://bit.ly/1osk5yg Follow our Official Twitter: http://bit.ly/1tIwTzK Check out exclusive SarderTV content: Web - http://bit.ly/1xpv37D Facebook - http://on.fb.me/1EbljQi #ABOUT SARDERTV SarderTV is an independent, educational media company, focusing on the subjects that fascinate, inspire and teach executives. Because the relationship between success and learning is parallel, SarderTV provides exclusive interviews with the authors, leaders, and taste makers currently affecting industry. Led by Russell Sarder and a team of dynamic and creative programming and content creators, experienced leadership and seasoned advisors, SarderTV launched in 2012. SarderTV is an exciting, forward thinking media company focused on the promotion of learning
Views: 46 Russell Sarder
Astrolabe Analytics http://astrolabe-analytics.com is dedicated to accelerating battery innovation offering a software solution for development teams across the battery value chain. Battery R&D is impeded by outdated data management chores, which cost battery development teams up to a quarter of their time and energy. Astrolabe Analytics' first product helps battery R&D teams manage and analyze their data with cloud-based workflow tools that automate data cleaning, data management, analysis and reporting. Their platform improves R&D productivity by 20% and reduces product development cycles by 15%. Moving forward, Astrolabe’s future battery analytics products will become a part of the IT infrastructure needed to advance for battery data science as we transition away from fossil fuel power plants and towards electric vehicles and renewable energy source. Filmed at IDTechEx Show! USA Learn more about our upcoming events: IDTechEx Show! Europe https://www.IDTechEx.com/Europe IDTechEx Show! USA https://www.IDTechEx.com/USA To support my video-blog, please become a member at http://youtube.com/charbax/join and get: - early access to all hundreds of unpublished videos - business cards to contact companies and people that I interview - show your support, member icon next to your username when you comment and in live chat Filmed in 4K60 at IDTechEx Show! USA with Panasonic GH5 ($1700 at https://amzn.to/2rkU4py) on Firmware 2.4 with 12-35mm mark2 ($900 at https://amzn.to/2BGvd56) all my GH5 on firmware 2.4 videos are added here: https://www.youtube.com/watch?v=9ZW9piOWGak&list=PL7xXqJFxvYviHxU1XxhahjJlQ5kyBHbpV
Views: 126 Charbax
Bradley Horowitz speaks about how big data drives culture at Google, as well as product development decisions. He also talks about product decisions made with Flickr, Google Maps, Google Glass, Android, and Google+ teams. Horowitz, Google's VP of Product, was one of the keynote speakers at the Stanford-Accel Symposium Hosted by mediaX at Stanford University. April 30, 2013. mediax.stanford.edu mediaX media contact: Susana Montes, [email protected]
Views: 6108 mediaXstanford
The hero of this story is a skirt—a green asymmetrical skirt. See how a fashion retailer responded to real time fashion trends and sentiment analysis emerging from social media data. By late afternoon, the fashion retailer was ready to launch a set of exclusive offerings available for immediate pre-order. Social analytics is driving real financial results. Turn misses into hits. Learn more about moving Twitter data beyond social listening. http://www.ibmbigdatahub.com/blog/retailers-are-meeting-demand-twitter-data Subscribe to the IBM Analytics Channel: https://www.youtube.com/subscription_center?add_user=ibmbigdata The world is becoming smarter every day, join the conversation on the IBM Big Data & Analytics Hub: http://www.ibmbigdatahub.com https://www.youtube.com/user/ibmbigdata https://www.facebook.com/IBManalytics https://www.twitter.com/IBMbigdata | https://www.twitter.com/IBMAnalytics https://www.linkedin.com/company/ibm-big-data-&-analytics https://www.slideshare.net/IBMBDA
Views: 1422 IBM Analytics
Authors: Waqar Hasan, Min Wang Abstract: Visa is the payments technology that forms the backbone of the world's financial systems by handling more than 7 trillion dollars of payments annually and our data reflects how the world spends money. We will describe technical achievements we have made in the area of fraud and cover some open challenges in data science. ACM DL: http://dl.acm.org/citation.cfm?id=2790460 DOI: http://dx.doi.org/10.1145/2783258.2790460
Views: 1566 Association for Computing Machinery (ACM)
Data Analytics event in San Francisco about how to build data analytics strategy. 👉 Subscribe here: http://bit.ly/2xMQLbS 🕊️ Follow us on Twitter: http://bit.ly/2xAQklN 💙 Like us on Facebook for free event tickets: http://bit.ly/2xPfjkh 📷 Don’t forget to follow us on Instagram: http://bit.ly/2eHmfJp Get the presentation slides here: http://bit.ly/2xNyI9L Find out more about us: http://bit.ly/2yvpFsZ 💻 Building an analytics strategy is crucial for every product manager. How do you build and implement an effective product analytics strategy that quantifies and drives product success and iteration? The Director of Product at Electronic Arts, Bertram Chan, talked about how data analytics is no longer a luxury, its a competitive and integral need for Product Managers. He also discussed how PM's can understand not only who your users are but how they behave. Bertram Chan has over 5 years of product management experience. He is a Senior Director of Product at Electronics Arts, and he also holds an MBA from London Business School. ABOUT US: We host product management, data and coding events every week in Silicon Valley, San Francisco, Los Angeles, Santa Monica, Orange County and New York. Click here to see what we have coming up: http://bit.ly/2gLfSWf Product School is the world’s first tech business school. We offer certified Product Management, Coding, and Data courses; our instructors are real-world managers working at top tech companies such as Google, Facebook, Snapchat, Airbnb, LinkedIn, PayPal, and Netflix. Our classes are part-time, designed to fit into your work schedule, and the campuses are located in Silicon Valley, San Francisco, New York, Orange County and Los Angeles. Product leaders from local top tech companies visit Product School campuses each week. Through lectures, panel discussions, and a variety of other forums, the world’s top product managers visit Product School to provide invaluable real-world insights into critical management issues. If you want to become a product manager in 8 weeks, see our upcoming courses here: http://bit.ly/2yvpFsZ 📓 The Product Book has arrived! Learn how to become a great Product Manager. On sale for a limited time. Get your copy here: http://amzn.to/2uJqg9A #ProductManagement #ProductSchool #Upskill #TechEducation #Education #Product #TechStartup #FinTech #Business #ProductManager #ProdMgmt
Views: 3178 Product School San Francisco
The role of a product manager is crucial but also one of the least understood ones. What does a product manager really do? Is he more of a data analyst? Or someone who deals with the tech aspects of product, leading the team of engineers? Or does the product manager largely concern himself/herself with user experience, design or the overall business strategy? Mind-boggling isn't it? No wonder the role is difficult to understand for most. In this video, Ravijot Chugh, Co-Founder and Product Head at UpGrad, explains in detail the various responsibilities a Product Manager has, and that you need to execute to the best of your ability to be a good PM. If you want to bag one among the thousands of highly coveted openings for Product Managers between now and 2020 (only to grow exponentially even after), you need to start upgrading your existing skills and mastering these key skills. Product Managers are often referred to as mini-CEOs of the product. This is why, at tech companies, startups and large MNCs that are now diversifying, alike, the role of Product Managers is lucrative and one of the most important in the organization. Read more about a Product Manager's role: https://blog.upgrad.com/wtf-is-a-product-manager/?utm_source=YouTube&utm_medium=Organic_Social&utm_campaign=YouTube_Video&utm_term=YouTube_Video_PM&utm_content=YouTube_Video_PM_Product_Management_Roles_Blog_Link Watch now to know more details. Wish to transition to the role of a Product Manager and build great products? Enroll in our Product Management Certification Program: https://upgrad.com/product-management/?utm_source=YouTube&utm_medium=Organic_Social&utm_campaign=YouTube_Video&utm_term=YouTube_Video_PM&utm_content=YouTube_Video_PM_Product_Management_Roles UpGrad takes pride in constantly churning out content that is contemporary, written by subject matter experts and delves into the world of Data Science, Big Data, Digital Marketing, Entrepreneurship, Product Management, Machine Learning and Artificial Intelligence, Software Development on regular basis. Stay on top of your industry by interacting with us on our social channels: Follow us on Instagram: https://instagram.com/upgrad_edu Like us on Facebook: https://www.facebook.com/UpGradGlobal Follow us on Twitter: https://www.twitter.com/upgrad_edu Follow us on LinkedIn: https://in.linkedin.com/company/
Views: 93162 upGrad
Product Management is a niche area but with an ever-increasing demand for talent. However, it is also not an easy role to assume. That explains why the Product Management interview is a tough one to crack. But don't worry - we bring to you all the required information, tactics and strategies that will help you ace the PM interview. Get started now to get ahead: https://upgrad.com/product-management/?utm_source=YouTube&utm_medium=Organic_Social&utm_campaign=YouTube_Video&utm_term=YouTube_Video_PM&utm_content=YouTube_Video_PM_Product_Management_Interview UpGrad takes pride in constantly churning out content that is contemporary, written by subject matter experts and delves into the world of Data Science, Big Data, Digital Marketing, Entrepreneurship, Product Management, Machine Learning and Artificial Intelligence, Software Development on regular basis. Stay on top of your industry by interacting with us on our social channels: Follow us on Instagram: https://instagram.com/upgrad_edu Like us on Facebook: https://www.facebook.com/UpGradGlobal Follow us on Twitter: https://www.twitter.com/upgrad_edu Follow us on LinkedIn: https://in.linkedin.com/company/ueducation
Views: 102182 upGrad
#UXUI #DataAnalytics #ProductDevelopment #SoftwareCompany #47Billion 47Billion is a product engineering services company specializing in big data engineering and visualization and UX/UI Design. We have strong technical expertise in building highly scalable analytics on multiple cloud service providers. We have developed analytics based products in the telecom, logistics, agriculture, ad-tech, tourism, education, healthcare, IoT, and digital signages/kiosks industries. We also specialize in user experience/design. Our team of visual designers has experience developing user-friendly interfaces by following methodical processes of information architecture, user journeys, wireframes and high- fidelity mockups. We have designed user interfaces for the transportation, agriculture, and retail industries as well as various enterprise apps and websites. If you are looking for a reliable partner to develop your product, Visit at www.47billion.com
Views: 3 47Billion
http://www.ischool.berkeley.edu/newsandevents/events/20140917facebookdatascience Speaker: Jake Peterson Wednesday, September 17, South Hall, UC Berkeley Jake Peterson will talk about the Facebook analytics team and how they perform large scale data analysis, identify actionable insights, suggest recommendations, and influence the direction of the business. The Facebook analytics team serves as the voice of data that drives success throughout the company, including product development, user engagement, growth, revenue, and operations. Learn about their typical day-to-day responsibilities, challenges, and how best to succeed as a data scientist in analytics. MIMS students Jason Ost and Timothy Meyers will also be on hand to discuss their experiences as Facebook Analytics interns. Bio: Jake Peterson is a data scientist and analytics engineering manager at Facebook and has been working in data science for more than ten years — longer than “data science” has been a term. At Facebook, Jake has led data science for four different Facebook product teams, most recently for the Graph Search product. Prior to Facebook, Jake led analytics functions at several tech startups and spent six years in the direct marketing industry as an analytics consultant at Acxiom. He holds a B.S. in computer science and a B.A. in philosophy from Santa Clara University.
Views: 36017 Berkeley School of Information
Product Management is a fast-growing and niche area to develop a career in. Naturally, there are some essential skills that can get you to be the very best of the lot. While the need for Product Managers is increasing by the day - in startups, tech companies and other large companies alike - the supply in India is currently only limited to a few thousands and compares poorly to countries such as the US. As per the Google and Accel Partners SAAS Report, there are roughly 36,000 Product Managers in India and the number is expected to increase to about 68,000 Product Managers by 2020. So, the need is apparent. But what does one have to do to get there? How to become a Product Manager? A common misconception is that Product Managers need to only master certain hard skills such as business understanding, tech and data. However, this would only mean the job is half done. To be a successful Product Manager you must have some soft skills too. These include communication, negotiation and leading without authority among many others. But don't worry about backgrounds, as Product Managers have been known to have diverse work and educational experience prior to making the transition into Product Management. Ravijot Chugh, Co-Founder and Product Head at UpGrad, explains in this 3rd part of the Careers-In-Shorts Series what these key skills are and how one can ace them to get on the road to being a great Product Manager. Grab a cool Infographic on: The Soft Skills of a Product Manager: https://blog.upgrad.com/the-soft-skills-of-a-product-manager/?utm_source=YouTube&utm_medium=Organic_Social&utm_campaign=YouTube_Video&utm_term=YouTube_Video_PM&utm_content=YouTube_Video_PM_Product_Management_Skills_Blog_Soft_Skills The Hard Skills of a Product Manager: https://blog.upgrad.com/the-hard-skills-of-a-product-manager/?utm_source=YouTube&utm_medium=Organic_Social&utm_campaign=YouTube_Video&utm_term=YouTube_Video_PM&utm_content=YouTube_Video_PM_Product_Management_Skills_Blog_Hard_Skills Wish to become a Product Manager and build great products? Check our Product Management program crafted by experts and here to help you make that transition: https://upgrad.com/product-management/?utm_source=YouTube&utm_medium=Organic_Social&utm_campaign=YouTube_Video&utm_term=YouTube_Video_PM&utm_content=YouTube_Video_PM_Product_Management_Skills UpGrad takes pride in constantly churning out content that is contemporary, written by subject matter experts and delves into the world of Data Science, Big Data, Digital Marketing, Entrepreneurship, Product Management, Machine Learning and Artificial Intelligence, Software Development on regular basis. Stay on top of your industry by interacting with us on our social channels: Follow us on Instagram: https://instagram.com/upgrad_edu Like us on Facebook: https://www.facebook.com/UpGradGlobal Follow us on Twitter: https://www.twitter.com/upgrad_edu Follow us on LinkedIn: https://in.linkedin.com/company/
Views: 86798 upGrad
Curious about the Big Data hype? Want to find out just how big, BIG is? Who's using Big Data for what, and what can you use it for? How about the architecture underpinnings and technology stacks? Where might you fit in the stack? Maybe some gotchas to avoid? Lionel Silberman, a seasoned Data Architect spreads some light on it. A good and wholesome refresher into Big Data and what all it can do. Our guest speaker: Lionel Silberman, Senior Data Architect, Compuware Lionel Silberman has over thirty years of experience in big data product development. He has expert knowledge of relational databases, both internals and applications, performance tuning, modeling, and programming. His product and development experience encompasses the major RDBMS vendors, object-oriented, time-series, OLAP, transaction-driven, MPP, distributed and federated database applications, data appliances, NoSQL systems Hadoop and Cassandra, as well as data parallel and mathematical algorithm development. He is currently employed at Compuware, integrating enterprise products at the data level. All are welcome to join us.
Views: 202 AnalyticsWeek
From individual consumers to the world's largest companies, data has become an increasingly useful and valuable commodity. We share personal data including calendars, preferences and locations with companies like Apple, Google and Facebook. In exchange, they mash it up with data from other sources to remind us where we need to be, suggest what to wear and tell us how to get there. At the other end, companies in fields as diverse as package delivery, manufacturing and computer chip technology derive valuable insights from looking across a diverse range of seemingly disparate data sources. These insights are used to help inform product development decisions, learn about the issues customers are having with products and how to improve processes. Ford has been a data-driven company since the post-World War II days of the "Whiz Kids." Alan Mulally's motto — "The data will set you free," has helped drive the company to new heights of success. Today, using data effectively is increasingly valuable in everyday life and in business.
Views: 455 Ford Media
Talk 1: Uber’s Big Data Platform: 100+ Petabytes with Minute Latency This talk will reflect on the challenges faced with scaling Uber’s Big Data Platform to ingest, store, and serve 100+ PB of data with minute level latency while efficiently utilizing our hardware. We will provide a behind-the-scenes look at the current data technology landscape at Uber, including various open-source technologies (e.g. Hadoop, Spark, Hive, Presto, Kafka, Avro) as well as open-sourced in-house-built solutions such as Hudi, Marmaray, etc. We'll dive into the technical aspects of how our ingestion platform was re-architected to bring in 10+ trillion events/day, with 100+ TB new data/day, at minute-level latency, how our storage platform was scaled to reliably store 100+ PB of data in the data lake, and our processing platform was designed to efficiently serve millions of queries and jobs/day while processing 1+ PB per day. You’ll leave the talk with greater insight into how data truly powers each and every Uber experience and will be inspired to re-envision your own data platform to be more extensible and scalable. Speaker : Reza Shiftehfar (Uber) Reza Shiftehfar currently leads Uber’s Hadoop Platform team. His team helps build and grow Uber’s reliable and scalable Big Data platform that serves petabytes of data utilizing technologies such as Apache Hadoop, Apache Hive, Apache Kafka, Apache Spark, and Presto. Reza is one of the founding engineers of Uber’s data team and helped scale Uber's data platform from a few terabytes to over 100 petabytes while reducing data latency from 24+ hours to minutes. Reza holds a Ph.D. in Computer Science from the University of Illinois, Urbana-Champaign. Talk2 : Michelangelo PyML - Uber’s Platform for Rapid Python ML Model Development Uber aims to leverage machine learning (ML) in product development and the day-to-day management of our business. In pursuit of this goal, hundreds of data scientists, engineers, product managers, and researchers work on ML solutions across the company. This talk will cover a brief history of Uber's machine learning platform - Michelangelo. We will take a closer look into a model life-cycle of prototyping, validation, and productionization and the importance of frictionless experience at each stage of this process. And finally, we will focus on PyML - a new extension of Michelangelo that enables faster Python ML model development and seamless integration with Uber's production infrastructure. Speaker: Stepan Bedratiuk (Uber) Stepan Bedratiuk is a lead engineer on Michelangelo's PyML team. His work focused on scaling model deployment pipelines and model serving services. Prior to ML platform team, Stepan worked on Uber's data platform team and helped to unify and scale the data access layer. Stepan holds B.S. and M.S. in Applied Mathematics from the Taras Shevchenko National University of Kyiv, Ukraine.
Views: 2306 AICamp
by Harper Reed from Modest
Views: 80 Domino Data Lab
This is the recording of the live talk on "Getting Started with Big Data" conducted by CloudxLab on October 25, 2017. About the instructor For the last 15 years, Sandeep has been building products and churning large amounts of data for various product companies like Amazon. InMobi, & D.E. Shaw. He has an all-around experience of software development and big data analysis. The instructor also conducts Self-paced & live training on Big Data & Machine Learning. To learn more about the training/course, please visit the following link. Big Data Specialization Course: https://cloudxlab.com/course/speciali... Machine Learning Specialization Course: https://cloudxlab.com/course/speciali... For more info, please contact us at [email protected]
Views: 325 CloudxLab
A Product Management Event in London UK on product development processes across cultures and territories. 👉 Subscribe here: http://bit.ly/2xMQLbS 🕊️ Follow us on Twitter: http://bit.ly/2xAQklN 💙 Like us on Facebook for free event tickets: http://bit.ly/2xPfjkh 📷 Check us out on Instagram: http://bit.ly/2eHmfJp Get the presentation slides here: https://prdct.school/2RIi8xi Find out more about us: https://www.productschool.com 💻 ABOUT US: Product School is the world’s first tech business school. We offer certified Product Management, Coding, Data and Blockchain courses; our instructors are real-world product managers working at top tech companies such as Google, Facebook, Snapchat, Airbnb, LinkedIn, PayPal, and Netflix. Our classes are part-time, designed to fit into your work schedule, and the campuses are located in 14 cities worldwide, including Silicon Valley, New York, Los Angeles and London. See our upcoming courses here: https://www.productschool.com In addition to classes, each of our campuses host weekly events with top industry professionals about Product Management, Data, Coding and Blockchain. Click here to see what we have coming up: https://www.productschool.com/product-management-events Product leaders from local top tech companies visit Product School campuses each week. Through lectures, panel discussions, and a variety of other forums, the world’s top product managers visit Product School to provide invaluable real-world insights into critical management issues. 📓 The Product Book has arrived! Learn how to become a great Product Manager. Get your copy here: http://amzn.to/2uJqg9A
Views: 358 Product School San Francisco
The potential of big data is huge. For example, we are now measuring the past, but we will venture into the business predicting the mobility behavior of people and to supply real time data for traffic management. How are people physically distributed within a country? How do they travel? It is important to understand daily life, but it is also important when there is for instance a natural disaster. Ir. Wim Steenbakkers studied Chemistry at the Technical University of Eindhoven (Netherlands) and the Weizmann Institute of Science (Israel). His experience varies from (fundamental) research, innovations, product development, market development, Marketing and Sales, General Management to entrepreneurship. After his career at DSM he became entrepreneur, founding and managing a wide variety of innovative companies such as Terreco (soil remediation) , DuraCar (electrical cars) and Mezuro (Big Data). His drive is to convert innovative ideas into profitable businesses. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx
Views: 1890 TEDx Talks
#EricsonPartner Managing Agility in Product Development & Business Models with Jan Karlsson ____________________________ My name is Ronald Van Loon and I would like to invite you to join me on the journey through the intelligent world, and have a deeper look into technological development that are shaping a world and transforming business. Subscribe To My Channel https://goo.gl/hhsA85 As a recognized expert and thought leader in this field, I work with data-driven companies to generate business value so that they may meet and exceed goal after goal. I have been recognized for my work in the field of digital transformation by such publications and organizations as Onalytica, Dataconomy, and Klout. In addition to these recognitions, I am also an author for a number of leading big data websites, including The Guardian, The Datafloq, and Data Science Central, and I regularly speak at renowned events and conferences. How I Help Companies Generate Business Value I write relevant articles & host webinars on Artificial Intelligence, Machine Learning, big data, IoT, data science, analytics and other digital transformation topics, which I distribute to an audience of over 100,000 social media fans and followers. ➨FOLLOW & Read my articles: http://bit.ly/297s0zU ➨Join my webinars:http://bit.ly/2iMM5Qd ➨ To connect with me for article writing, hosting webinars or attend events mail me at [email protected] By learning how to make the best use of the data your company has, and by becoming certified, you can boost your career! ➨Learn more how I can help you as a Simplilearn course advisor http://bit.ly/2hHu8lo As the director of Adversitement, I work to help data-driven businesses become more successful. ➨To learn more contact me via [email protected] Stay Up to Date on the Latest News and Insights in Data Transformation ➨Join my LinkedIn group, “Awesome Ways Big Data Is Used to Improve Our World”, at http://ow.ly/GXoYi. ➨Connect with me on LinkedIn, and follow my publications via LinkedIn Pulse at http://bit.ly/1LtwD3Z. ➨Follow me on Twitter @Ronald_vanLoon Category: Science & Technology
Views: 8690 Ronald Van Loon
Big Data management services, offered by SynapseCo derive innovative business growth and help organizations in the USA and other countries to gain a competitive edge. By knowing the trends of customer behavior and satisfaction through analytics, you can create products according to their requirements. It will help you to trim down the product development and marketing costs. Our Big Data experts have an excellent track record of unlocking the potential of both structured and unstructured data for diverse industry verticals. Do you own a big hospitality business in Europe or other locations and unable to manage the complex data? Avail or Big Data solutions today!
New product development is essential to any business that must keep up with market trends and changes. Inspiralia is your partner for the entire New Product Development process, from picking the idea, finding the financing & developing the idea into a product and launching it to the market.
Big Data is about extracting value from fast, huge, varied, complex data sets. But simply crunching data is only the first step. As adoption of MapReduce and data analytic technologies increases, forward thinking companies are starting to build applications on their core data assets. In this keynote, MarkLogic's Gary Lang will explore what these Big Data Applications look like, offering some tantalizing real-world glimpses at what data wrapped in applications makes possible. Gary Lang MarkLogic Gary Lang is the senior vice president of engineering for MarkLogic. Lang is a proven leader with more than two decades experience delivering large, complex products and systems, architectural design and direction setting for high-revenue software projects. Lang is responsible for all of MarkLogic product development. Lang comes to MarkLogic from Microsoft, where he was a leader in the development of the next version of Visual Studio. Prior to Microsoft, Gary was vice president of platforms and global engineering at Autodesk, where he led an organization of 1,200 employees worldwide providing platform and product engineering for Autodesk's core products as well as new software and services for emerging businesses. His organization was responsible for developing code for almost all of Autodesk's desktop and SaaS products, such as AutoCAD, Inventor, and Seek, which generated up to $2.5 billion in revenue. During this period, Lang also served as the vice president of global engineering for the company and managed its offices in China and Singapore. Earlier in his career, Lang was vice president of engineering for Autodesk's infrastructure division. He led the engineering team for all geospatial products, including Map and MapGuide Server. Lang was also a co-creator of the OSGeo Foundation, the first industry-wide open source foundation for geospatial software and services. Lang has a bachelor's degree in computer and information science from the University of California, Santa Cruz.
Views: 1691 O'Reilly
While I have mentioned a bunch of tools, this talk will be more inclined towards how you, as a product developer, can start asking the right questions which can then be answered by leveraging data. I will walk you through the process of tracking efficiently what your users are doing and how are they using a feature. The talk will also include topics like coffee shop testing and how to do it the right way. https://metarefresh.talkfunnel.com/2016/17-data-driven-product-development
Views: 220 HasGeek TV
A breakout session hosted by Ben Silcox of TAH at the 2nd Big Data Insight Group Forum. The session was focussed on 'Applying the insight: Integrating big data into your innovation and product development cycle across the entire enterprise'.
Views: 212 thecloudcircle
The 2019 Big Data & Business Analytics Summit will be held on March 21 & 22, 2019 at Wayne State University. This summit focuses on pragmatic issues faced while deploying big data strategies to drive business success. It has a special focus on managing and analyzing the data captured through marketing, product development, manufacturing, distribution, sales, and service in a global setting. Symposium attendees gain keen insights and learn tips on identifying big data opportunities, developing business cases, and using analytics to drive business success. The summit also seeks to provide a clear distinction between legacy analytics that are pervasive in industry and the emerging next generation tools, technologies and processes that will form the foundation for a new wave of innovation and growth. http://bigdata.wayne.edu SUBSCRIBE: https://go.wayne.edu/subscribe About Wayne State University: Wayne State University (WSU) is a public research university located in Detroit, Michigan. Founded in 1868, WSU consists of 13 schools and colleges offering nearly 350 programs to more than 27,000 graduate and undergraduate students. Wayne State University is Michigan's third-largest university, one of the 100 largest universities in the United States, and ranked in the top 50 American public universities for research expenditures. The WSU main campus encompasses 203 acres linking more than 100 education and research buildings in the heart of Detroit. Wayne State University, in alliance with Michigan State University and the University of Michigan, is part of Michigan’s University Research Corridor, responsible for $2.15 billion in research and development spending in fiscal year 2015. The URC is one of the nation’s top research clusters and the engine for innovation in Michigan and the Great Lakes region, increasing economic prosperity and connecting Michigan to the world. Connect with Wayne State University online: Visit the Wayne State University WEBSITE: https://go.wayne.edu/surprise Like Wayne State University on FACEBOOK: https://go.wayne.edu/follow-twitter Follow Wayne State University on TWITTER: https://go.wayne.edu/follow-facebook Follow Wayne State University on INSTAGRAM: https://go.wayne.edu/follow-instagram
Views: 328 Wayne State University
Prof. Alex ‘Sandy’ Pentland, PhD ‘82, Professor, MIT Media Lab (@alex_pentland) Ricardo Bartra, SVP, CIO - Americas, Deutsche Post DHL - Global Forwarding (#RicardoBartra) Anthony Christie, SF ‘98, CMO, Level 3 Communications (@ADCCMO) Niraj Jetly, COO & CIO , NutriSavings (@4NirajJetly) Rob Thomas, VP, Product Development, IBM Analytics (@robdthomas) The first wave of big data has hit, creating great opportunities but also cracks in company security, worries about customer data privacy, and showing the limitations of current analytics. The second wave of big data is gathering strength now. The thought leaders and practitioners on this panel will discuss what Big Data 2.0 may look like, what security measures companies may have to take, how improved analytics can help us achieve stronger insights, how consumers are demanding a new privacy contract, and how some cutting edge companies are shining a light on this future.
Views: 533 MIT Sloan CIO Symposium Videos
Charles Burgoyne serves as the Director of Data Science at Rosetta Stone. Prior to Rosetta Stone, Charlie has held a variety of roles including, Vice President of Research & Development at a technology firm, a research scientist for the U.S. Department of Energy and the National Nuclear Security Administration. He also served as a research astrophysicist for NASA. Learn more about Charles: https://www.linkedin.com/profile/view?id=108571976 You can learn more about this #DataTalk series: http://experian.com/datatalk
Views: 433 Experian
Five Big Data Use Cases for Retail https://www.pepperdata.com/blog/retail With tight margins and increased competition, savvy online retailers are leveraging big data in ways that set them apart from the competition. It’s the only way to move forward in this data-driven world. When done right, big data can be leveraged by retailers to make more sales, enhance forecasting, refine supply chain efficiency, improve inventory management, and reduce costs. Let’s look at some of the effective big data use cases for retail. The one thing they all have in common is the need to ensure performance and reliability. Predict Customer Behavior: We’ve all experienced recommendation engines offering up suggestions with “you may also like.” But there’s a fine line between savvy and creepy, so sellers must tread lightly. Anyone who has heard the story remembers the infamous time big data went wrong for a major retailer. When Target used analytics to market to customers that data predicted were pregnant, the father of a teenager responded in anger that Target would send such ads to his daughter, who was still in high school. Target apologized, only to receive a return apology from the man, who found out his daughter was indeed pregnant. While extremely awkward, more importantly, people were understandably creeped out and became mistrustful of the brand. After all, if it was using its data to predict something as sensitive as pregnancy, how else was Target using data to target consumers?But when thoughtful and careful, companies can leverage data they have on customer purchases, behavior, loyalty cards, and online wish lists to effectively increase sales and marketing. Predict Customer Lifetime Value: Big data is invaluable when it comes to estimating customer lifetime value. And retailers are not limited to owned data; they can leverage and correlate their own customer metrics with social media, email clicks, browsing patterns and other behaviors. Improve Supply Chain Efficiency: Machine learning can be applied to stock and supply chain metrics combined with data from customer behavior, social platforms, industry reports and the media. These insights can be used to predict demand, manage inventory, optimize pricing, conduct targeted marketing, and even determine the best store layout and product placement. Perform Sentiment Analysis: Retailers can perform sentiment analysis using social media, review sites and other online data to drive strategy. Using language processing to track words – both positive and negative – can be extremely valuable for making improvements to marketing, customer service, and product development. Fraud Detection: Data breaches are an increasingly dangerous threat to brands, and retail organizations must be especially cognizant of the risks associated with consumers’ personally identifiable information (PII). In addition to securing the data its consumers trust them to protect, online retailers also need to protect their own financial interests. Big data from point-of-sale, return rates, and online activity feeds the platforms organizations leverage to monitor activity and detect fraudulent activity based on hidden patterns and anomalous behaviors, and algorithms predict future fraudulent activities. PERFORMANCE MANAGEMENT IS KEY To ensure system availability for predictive analytics, retailers need a performance management solution that monitors the entire environment — the infrastructure as well as the applications. Pepperdata’s unified solution combines application performance management (APM) and infrastructure performance management (IPM) into a single, comprehensive platform to ensure uptime. Driven by AI and machine learning, Pepperdata continuously learns, identifying and addressing abnormalities in infrastructure and analytics application behavior to automatically detect and prevent performance roadblocks. Pepperdata helps retailers optimize their applications and ensure they know what’s going on in their mission-critical systems. Only Pepperdata can correlate infrastructure and application event data to determine the root cause of an application slowdown and automatically tunes resources for optimum performance. Contact [email protected] today and learn how we can help.
Views: 35 Pepperdata
Panel Discussion at NIT Alumni Silicon Valley Meet (May 16 2012) Topic: Big Data Panel Members Ashish Thusoo(CEO, Qubole) Anil Vasudeva (President & Chief Analyst, IMEX Research) Venky Rangachari (CIO & CTO, Thomson Reuters) Asheem Chandna (Partner, Greylock Partners) Boris Chen(VP of Engineering, Splunk) Vaishnavi Sashikanth(VP Advanced Analytics, Oracle) Sridhar Muppalla ( Moderator & PAN NIT Brand Ambassador) Asheem joined Greylock in 2003. His areas of interest span enterprise IT infrastructure, software and services. He has invested in companies in cloud computing, data center, electronic payments, networking, management, security and virtualization. Asheem's current company boards and investments include Aquantia, AppDynamics, Delphix, Imperva, (NYSE: IMPV) Palo Alto Networks, Sumo Logic, TechProcess, Xsigo Systems, and Zenprise. He was previously on the boards at CipherTrust (MCAF), NetBoost (INTC), PortAuthority Technologies (WBSN), Securent (CSCO), Sourcefire (FIRE) and also invested in Aruba Networks (ARUN). Asheem has helped create and grow multiple technology businesses and product lines to market-leading positions -- both as a former operating executive and as a venture capitalist at Greylock. As a company board director, he works closely and supportively with founders and management teams to help create and grow "category-leading" companies that provide customers with highly-differentiated product capabilities and superior business value. Asheem joined Greylock from Check Point Software, where he was vice-president of business development and product management. During his 6+ year tenure, Check Point grew from $10M to $500M+ in annual revenues. Asheem founded the business development and product management organizations, led corporate marketing during high growth years and directed Check Point's product/business strategy, product management and industry partnerships. Asheem is also credited with creating, growing and leading Check Point's OPSEC Alliance into the largest and most successful security partner program in the IT industry. Prior to Check Point, Asheem was vice-president of marketing with CoroNet Systems (a venture-backed startup acquired by Compuware), where he helped create and define a new product category for application-aware network monitoring. Previously, Asheem held strategic marketing and product line positions with SynOptics/Bay Networks and AT&T Bell Laboratories. During his 3+ year tenure at SynOptics/Bay, the company grew from $175M to $900M+ in annual revenues. At AT&T Bell Labs, Asheem represented AT&T at IETF standards committees for TCP/IP management protocols. Asheem's additional prior company advisory roles and/or investments (in an individual capacity) include Alteon WebSystems (NT), BigBand Networks (BBND), FineGround Networks (CSCO), Neoteris (JNPR), Nirvana Business Solutions, Rainfinity (EMC), Secure Computing (MCAF), Selectica (SLTC), VitalSigns Software (BT) and Whole Security (SYMC). Asheem is a charter member of TiE Silicon Valley. He is on the panel of judges for the Wall Street Journal Global Technology Innovation Awards, is on the advisory board and program committee for the RSA Conference and is part of the VC program at DeVenCI (Defense Venture Capital Initiative). Born and raised in India, Asheem holds B.S. and M.S. degrees in electrical and computer engineering from Case Western Reserve University. Vaish Sashikanth Bio Vaish Sashikanth is Vice President for Advanced Analytics in the Database Technologies division of Oracle Product Development. Prior to Oracle, Vaish was at Amazon, Seattle, responsible for all aspects of development and daily operational execution of their e-commerce intelligence platform. Prior to Amazon, Vaish was VP,Engineering for Essbase/OLAP family of products at Hyperion Solutions that contributed more than a third of Hyperion's revenues at the time of its acquisition by Oracle in 2007. During her tenure, in 2005, Essbase was named one of "Top Ten Influential Technology Innovations of the last 10 years" alongside Netscape, Blackberry, Google, VOIP, virtualization and Linux by Information Age. Vaish started her career writing code in the guts of Sybase relational database engine implementing DML for row level locked tables.
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Innovation @ scale: The three “P” strategy Speakers: Aneesh Chaudhry, Global Analytics Director, Unilever Vijayanand J, Senior Director Analytics, Philips Healthcare Ashish Sinha, Country Head, Epsilon Moderator: Rajiv Onat, Sr. Director- Analytic Product Development, WNS
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Last week, I had a privilege to interview Vojtech Kurka Co-Founder & CTO of Meiro.io, firm into big data and big data analytics. I wanted to share his learning into this field and if you aspire to jump into big data field what are the steps you need to talk. Question 1 - Brief introduction about you and your company? Answer - Merio.io is into big data analytics, with the help of products they are developing. They can help their customers analyzing the data. Helping their clients understand their customers in much better way! Easy to use interface helps even non-technical people to do data analysis. Question 2 - What is your role in the company? Answer - I’m CTO, leading the product development. Leading team of analyst, who are working with the clients. Question 3 - Why are you doing this? Answer - Providing simpler solutions to customers, usually analyzing data is time consuming process but with our solutions, we are giving power to the people of data analysis. Question 4 - What technologies will overtake the world in next 5 years? Answer - I’m not the right person to answer the question :D Question 5 - Big data, what is that? Why should I care about it? Answer - Big data, is not a scary mysterious buzz word. Big data is huge amount of data! It is very important to observe the data to make things better! It should be a universal skill! Question 6 - How can I become Big data expert? What steps you would recommend? Answer - Go into the depth, learn with practical approach! You should stick to basics! SQL is the most fundamental thing you should learn! 70% of the big data problems can be solved with simple SQL. Question 7 - What special degree / certificates I need to become big data expert? Answer - There is no need of special degree to pursuit this as a career option! Question 8 - What are the good resources I can get started? Answer - Curiosity - fundamental thing you need! Read blogs from companies like netflix, airbnb and spotify! Learn from their architecture. You need to understand the data collection! Question 9 - Number 1 advice for newbies who are getting into big data field! Anwer - Be patient and open minded! Question 10 - How we can reach you out! If we need help! Answer - You can reach me out at linkedin http://bit.ly/2UvKAo6 or contact us on our website https://meiro.io Resource https://github.com/kamranahmedse/developer-roadmap You can watch the whole video to learn more! Follow us on facebook https://facebook.com/visionardcom Follow us on twitter https://twitter.com/visionard_ Follow us on Instagram https://instagram.com/visionard_ Follow us on LinkedIn https://www.linkedin.com/company/visionard/ Join our exclusive facebook group http://facebook.com/groups/visionard.academy Subscribe to our YouTube channel http://bit.ly/2VRw0b8 Whatsapp us on wa.me/919806532911 Call us at +919806532911 For trainings / consultation email us at [email protected]
Views: 84 Avinash Seth