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Webinar: How Big Data is Changing New Product Development
 
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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
How to Build a Data Analytics Strategy by LinkedIn Product Manager
 
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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
Connecting big data innovation, creativity and new technology in product development - Smithery
 
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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.
Why Analytics Is Key for Product Managers by Airbnb Data Scientist
 
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👉 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
How to Build Data Products by Squarespace Product Manager
 
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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
Developing Data Science products - Jan Zyśko, Magdalena Kalbarczyk
 
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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: 1534 PyData
How to Build a Data Analytics Strategy by EA's Director of Product
 
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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
Astrolabe Analytics uses big data to Develop better batteries faster
 
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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 CES 2019 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: 0 Charbax
How Ford Will Use Big Data for Cars of the Future
 
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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: 6423 Bloomberg
What Is Data-Driven Product Development by Aaptiv Senior PM
 
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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
Big Data Analytics for Consumer Products Sales
 
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http://www.ibm.com/bigdata - For consumer products manufacturers, big data analytics is fueling improved business outcomes by applying new analytics capabilities on a vast amount of data. This demonstration illustrates the value of Big Data capabilities to improve sales performance insight and collaboration with retail customers. Through enabling better understanding of retail visibility, enhancing sales analysis, improving execution and profitability of promotional events, and optimizing spending, Big Data helps achieve CP company financial results.
Views: 2006 IBM Analytics
An introduction to: Big Data
 
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How does Netflix know how to make a hit TV show? In this talk Steven Kear draws on his background in Computer Science, embedded systems and electronic product development to provide an introduction to Big Data. This talk is part of the Essex Employment and Skills Boards Educator CPD series. These videos are produced to help Essex educators understand more about developments taking place in Essex's growing industries. You can find out more about the ESB by visiting our website www.essexesb.co.uk. Find out more about careers in Essex by visiting www.whatsyourthing.org.uk.
Big Data and Innovation Management
 
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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: 222 Sopheon
What Type of a Product Manager are you? (And which should you become)
 
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The perfect Product Manager lies at the intersection of technology, design, and business. But most Product Managers belong to varied backgrounds before stepping into the field, because there are still very few formal channels of education that exist to become a Product Manager. This is also an added advantage that can enable many people to transition to Product Management as a career. Find out in this video what type of Product Management Personality Type might suit you best and what type of Product Manager you can be - Tech, Data, Design, Business or Growth. What does it take to become one of these and what are the advantages, disadvantages, key focus areas and much more. Including, which celebrity Product Manager might you be most like. Find out to know which companies you might be most suited for! Read this detailed content: https://blog.upgrad.com/product-managers-who-changed-the-world/?utm_source=YouTube&utm_medium=Organic_Social&utm_campaign=YouTube_Video&utm_term=YouTube_Video_PM&utm_content=YouTube_Video_PM_Product_Management_Types_Blog_Link Check this out to know more about Product Management: 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_Types_Program_Link 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: 11009 upGrad
How should Big Data be used in product development? By Stephen Wunker
 
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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: 48 Russell Sarder
Bradley Horowitz: Big Data, Product Decisions & Hiring Culture at Google
 
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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: 6081 mediaXstanford
Big Data will impact every part of your life | Charlie Stryker | TEDxFultonStreet
 
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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: 132456 TEDx Talks
Data-Driven Product
 
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Maggie Jan of Keen.io speaking at Industry 2016. http://indsum.com
Views: 139 Product Collective
How to become a Product Manager (Interview Tips)
 
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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: 82886 upGrad
Who is a Product Manager and What do they do? [Career Insights]
 
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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: 75434 upGrad
Career Talk: Data Analytics at Facebook
 
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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.
Webcast: The Science of Data-Driven Product Management
 
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As a product manager or data scientist, you know the value of having hard facts based on real data, instead of your gut instinct, when making key product decisions. But do you struggle with getting critical data at the right time? Want to learn how to use your company’s API-based metrics to drive product design, development, and adoption? Join Alan Ho, Jeff West, and Jin Zhang as they discuss how they use data to drive product management decisions at Apigee. Hear the lessons they’ve learned in building product intelligence using API analytics. You’ll leave with practical and actionable tips and valuable insights based on real world examples. Download the slides: http://slidesha.re/1uTSPun Listen to the podcast: https://soundcloud.com/apigee/the-science-of-data-driven-product-management
Views: 2853 apigee
The Science of Big Data - Science Documentary HD
 
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Big Data History and Current Considerations: While the term “big data” is relatively new, the act of gathering and storing large amounts of information for eventual analysis is ages old. The concept gained momentum in the early 2000s when industry analyst Doug Laney articulated the now-mainstream definition of big data as the three Vs: Volume. Organizations collect data from a variety of sources, including business transactions, social media and information from sensor or machine-to-machine data. In the past, storing it would’ve been a problem – but new technologies (such as Hadoop) have eased the burden. Velocity. Data streams in at an unprecedented speed and must be dealt with in a timely manner. RFID tags, sensors and smart metering are driving the need to deal with torrents of data in near-real time. Variety. Data comes in all types of formats – from structured, numeric data in traditional databases to unstructured text documents, email, video, audio, stock ticker data and financial transactions. At SAS, we consider two additional dimensions when it comes to big data: Variability. In addition to the increasing velocities and varieties of data, data flows can be highly inconsistent with periodic peaks. Is something trending in social media? Daily, seasonal and event-triggered peak data loads can be challenging to manage. Even more so with unstructured data. Complexity. Today's data comes from multiple sources, which makes it difficult to link, match, cleanse and transform data across systems. However, it’s necessary to connect and correlate relationships, hierarchies and multiple data linkages or your data can quickly spiral out of control. Why Is Big Data Important? The importance of big data doesn’t revolve around how much data you have, but what you do with it. You can take data from any source and analyze it to find answers that enable 1) cost reductions, 2) time reductions, 3) new product development and optimized offerings, and 4) smart decision making. When you combine big data with high-powered analytics, you can accomplish business-related tasks such as: Determining root causes of failures, issues and defects in near-real time. Generating coupons at the point of sale based on the customer’s buying habits. Recalculating entire risk portfolios in minutes. Detecting fraudulent behavior before it affects your organization. Data has intrinsic value. But it’s of no use until that value is discovered. Equally important: How truthful is your data—and how much can you rely on it? Today, big data has become capital. Think of some of the world’s biggest tech companies. A large part of the value they offer comes from their data, which they’re constantly analyzing to produce more efficiency and develop new products. Recent technological breakthroughs have exponentially reduced the cost of data storage and compute, making it easier and less expensive to store more data than ever before. With an increased volume of big data now cheaper and more accessible, you can make more accurate and precise business decisions. Finding value in big data isn’t only about analyzing it (which is a whole other benefit). It’s an entire discovery process that requires insightful analysts, business users, and executives who ask the right questions, recognize patterns, make informed assumptions, and predict behavior. The Science Big Data #BigData #Documentary Thanks for watching Make sure to subscribe and leave a comment below.
Views: 37782 ADVEXON TV
How to Develop New Products by Financial Times Head of Product
 
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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
Harvard i-lab | Understanding Medical Device Development
 
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The healthcare industry is a hot bed of innovation. A convergence of new technologies, connectivity, big data and analytic models are creating a multitude of opportunities to improve health outcomes and reinvent platforms for device and service businesses. Working in a regulated industry requires special considerations that can prove challenging for the uninitiated. From concept generation to launch, this session, led by Aidan Petrie, Chief Innovation Officer of Ximedica, will provide an overview of six essential components of successful product development specific to the development of medical devices and healthcare products. We will start with a discussion around the regulatory considerations that drive many of the activities surrounding each of the development phases and then cover step-by-step each phase of development including an overview of funding milestones and potential sources. Part how-to, part know-how the aim of this short workshop is to equip anyone who is currently trying to bring a product to market or may do in the future with a high level view from experts in the field. Ximedica is the largest product developer the country that is focused solely on the medical space. Our clients range from Fortune 30, VC's, university incubators and everything in between.
Sequoia AT New product development
 
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SequoiaAT is focussed on software development in IoT, Mobile Apps, Cloud applications and Bio-Informatics . we have worked with our customers including fortune 10 companies for thier IoT software development. Our development capabilites include, Custom programming, Embedded programming, Mobile Apps on iOS & Android , cloud application development & deployment and Big data analytics.
Views: 102 SequoiaAT
How big data shows Yankees like Amsterdam | Wim Steenbakkers | TEDxSittardGeleen
 
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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: 1874 TEDx Talks
Strata 2013: Yael Garten, "Big Data on Small Devices: Data Science goes Mobile"
 
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http://strataconf.com/ Mobile is already changing everything about the way we access information, and we've only begun to experience the impact of the smart devices revolution. Mobile analytics is also very different from web product analytics. With a variety of screen sizes, operating systems, and many other features, the "mobile platform" is in fact a multitude of distinct platforms. How do we recognize and even benefit from this richness and heterogeneity to create amazing products our users will love? Data science for consumer internet products relies on our ability to effectively analyze and understand ubiquitous computing in terms of a holistic product experience, as individuals consume and create data on mobile and desktop devices in their day-to-day lives. I'll talk about mobile data science challenges — from product development to data-driven decision making. http://strataconf.com/strata2013/public/schedule/detail/27605
Views: 6572 O'Reilly
Better Business Decision making with Big Data Analytics Pete Eppele VP Zilliant
 
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Pete Eppele has more than 18 years of product strategy experience helping Fortune 500 companies harness Big Data to improve business performance. As the Vice President of Product Management at Zilliant, Pete is responsible for defining the product lifecycle and requirements for Zilliant's products. Prior to Zilliant, Pete served as Vice President of Product Marketing at Yclip. Before that he managed KD1's highly scalable data mining and decision support applications used by Walgreens, Lowe's Home Improvement and Pepsi/Frito Lay. He also worked at Kelly Information Systems where he oversaw product development and implementation of their multi-terabyte data warehouse analytics product line. In addition, Pete has worked in consulting and product development roles with Category Management, Inc. and Procter & Gamble.
Views: 336 The CEO Magazine
NASSCOM Big Data & Analytics Summit 2014 Panel Discn - Innovation,Speed,Optimization,Alignment360
 
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What does it take to be a successful entrepreneur? Venkat Viswanathan, Founder & Chairman, LatentView Analytics speaks on a panel at the Nasscom Big Data & Analytics Summit. Other panelists include Sridhar Venkatesh, Co-founder & VP Product Development, Indix, Bhupendra Khanal, Founder, Simplify360 and Atul Batra, CTO, Manthan Systems. Moderator: Venkatesha Babu, Sr. Associate Editor, Business World
Views: 116 LatentView
Data science: Defining the future of data
 
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We are in the midst of the digital revolution, and in this era, every problem is a data problem. We are beginning to see the impact that data and technology and the potential to truly change the way organizations operate. Rob Thomas, VP of Product Development at IBM shares his views on how the data scientist is the core piece to the evolution and adoption of data science. Learn more about Data Scientists: http://ibm.co/data-science 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.linkedin.com/company/ibm-big-data-&-analytics https://www.slideshare.net/IBMBDA
Views: 5063 IBM Analytics
NASSCOM: Big Data & Analytics Summit 2016: Session XI: Panel Discussion
 
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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
Views: 770 NASSCOMVideos
Enterprise 2014 Announcement highlights for big data solutions
 
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Rob Thomas, VP, Product Development, Big Data and Information Management, IBM, discusses the state of data as the new intellectual property. He also makes announcements regarding IBM BigInsights and IBM Power Systems, as well as the faster performance capabilities with IBM DB2. To learn more about the new big data offerings from IBM, visit http://ibm.co/1GLI8y9. Stay in Touch: • Subscribe to our YouTube channel: http://ibm.co/1tIahvO • IBM Systems: http://ibm.co/11izE1v • Follow us on Twitter: http://ibm.co/1xi4VPt
Views: 66 IBM Systems
How does a Product Manager grow? [Career Insights]
 
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There are various inroads into Product Management and people from multiple backgrounds are becoming Product Managers. But once in, what are your career prospects like? How quickly can you rise to the top and what exactly is the top? In this video, Ravijot Chugh, helps you understand the broad career path of a successful Product Manager. Read popular content on Product Management: Where Are You On The Product Management Ladder?: https://blog.upgrad.com/where-are-you-on-the-product-management-ladder/?utm_source=YouTube&utm_medium=Organic_Social&utm_campaign=YouTube_Video&utm_term=YouTube_Video_PM&utm_content=YouTube_Video_PM_Product_Management_Career_Path_Product_Management_Ladder The Ultimate Product Management Resource List: Periodic Table for Product Managers: https://blog.upgrad.com/the-ultimate-product-management-resource-list-periodic-table-for-product-managers/?utm_source=YouTube&utm_medium=Organic_Social&utm_campaign=YouTube_Video&utm_term=YouTube_Video_PM&utm_content=YouTube_Video_PM_Product_Management_Career_Path_ultimate_product_management_guide Know more about Product Management Certification here: 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_Career_Path 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: 5382 upGrad
Creating Customer-Centric Products Using Big Data - Kriti Sharma, Barclays
 
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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: 542 Big Data Week
Improving Medical Decision Making with Big Data - Strata + Hadoop 2015
 
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Intel's Ron Kasabian and Penn Medicine's Michael Draugelis present "Improving Medical Decision Making with Predictive Analytics on Big Data". Even in this era of intense medical breakthroughs, many illnesses still evade accurate and timely diagnosis. Clinicians’ must often rely on static diagnostic guidelines, that result in late care and too many false alarms. Half of all heart failure patients can go undiagnosed. Patients with chronic illness, like congestive heart failure, slip through the cracks, missing lifesaving education and treatment. Hear how Penn Medicine and Intel are collaborating on an open source analytics platform to revolutionize health care. By using more data and advanced analytics to predict patient illness, clinicians can increase detection rates, reduce care costs., and most importantly save lives. This keynote is sponsored by Intel. About Ron Kasabian (Intel): Ronald E. Kasabian is vice president in the Data Center Group and general manager of big data solutions at Intel Corporation. He has overall responsibility for Intel’s strategy and plans in the big data arena, spanning hardware platforms, software solutions, services, strategic business partnerships, and paths to market. Ron joined Intel in 1984 and spent his first 14 years at the company developing and managing software solutions for various enterprise applications. For several years beginning in 1998, he led product development at Pandesic LLC, a joint venture formed by Intel and SAP to deliver e-commerce solutions. Over the next nine years of his Intel career, Ron held multiple director-level positions encompassing various enterprise application areas, including sales and marketing, finance, supply chain, procurement, and business intelligence. Before assuming his current role in 2012, he served as general manager of enterprise solutions and programs in Intel’s information technology organization. A member of the chief information officer’s staff, he was responsible for the delivery of cross-enterprise applications for finance, human resources, enterprise data warehousing, and advanced analytics. Kasabian has a bachelor’s degree in business with an emphasis on quantitative analysis and decision science from California State University, Fresno. https://communities.intel.com/people/rkasabian Watch more from Strata + Hadoop NYC 2015: https://goo.gl/UunGPH Visit our curated data topic page: http://oreilly.com/go/data Visit the Strata + Hadoop World website: http://strataconf.com/ Don't miss an upload! Subscribe! http://goo.gl/szEauh Stay Connected to O'Reilly Media by Email - http://goo.gl/YZSWbO Follow O'Reilly Media: http://plus.google.com/+oreillymedia https://www.facebook.com/OReilly https://twitter.com/OReillyMedia
Views: 2900 O'Reilly
Executive Insights Series : Glyn Povah, Global Product Development, Smart Digits, LUCA, Telefónica
 
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All of Telefónica’s products and services are underpinned by three core principles of security, transparency and empowerment. The operator aims at ensuring their customers feel in control of how their data is used, by leveraging their tools. Moreover, in line with its focus on big data, Telefónica aims at using this technology for social good. This, in turn, is expected to benefit customers globally.
Views: 164 Mahindra Comviva
For Product Managers: 6 Ways to Land Your Dream Job
 
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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. Deepak Singh, Director of Products at UpGrad, explains in this Careers-In-Shorts Series what are the ways to land into your dream Product Management job and how one can 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_Land_Dream_Job_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_Land_Dream_Job_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_Land_Dream_Job 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: 2700 upGrad
Data and test driven product development with Airflow, Jupyter and (Py)Spark - Tomasz Bartczak
 
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Description In this talk I will discuss the way data-driven products are built Allegro with examples from image quality classification up to a search relevancy pipeline. Topics covered are: Test or data driven development (a.k.a Jupyter or IDE) Airflow as a Data workflow and scheduler platform Example project pipelines Lessons learned Abstract In this talk I will discuss the way data-driven products are built Allegro with examples from image quality classification up to a search relevancy pipeline. Topics that will be covered are: Test and data driven development: How to get/go from a jupyter notebook to a production scheduled batch job Automated testing of pySpark jobs Spark jobs - Python or Scala? Airflow as a Data workflow and scheduler platform Metrics and monitoring Example project pipelines * Lessons learned 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: 3679 PyData
Applications of AI in IoT | Applications of Big Data in IoT | IoT Future | IoT Career
 
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This webinar explains the below points: - Introduction to IoT - Big Data Introduction - Artificial Intelligence Introduction - Big Data & IoT Case Study - Artificial Intelligence & IoT Case Study - Career Path in IoT Space About the Speaker: The Speaker is Vijayakeerthi Jayakumar. He has 7+ years of industry experience in analytics & data science stream. He has rich experience in building machine learning based solutions to create business impact. Strategic & Performance oriented executive focused on mission and goals with proven track record in handling business requirements & complex problem solving using statistical techniques. Avid learner of new technologies and open-minded exploration attitude to build new skillsets. Data-driven consulting & product development focusing on ROI across multiple functions such as Marketing, Operations, Finance. About us: HackerEarth is building the largest hub of programmers to help them practice and improve their programming skills. At HackerEarth, programmers: 1. Solve problems on Algorithms, DS, ML etc(https://goo.gl/6G4NjT). 2. Participate in coding contests(https://goo.gl/plOmbn) 3. Participate in hackathons(https://goo.gl/btD3D2) Subscribe Our Channel For More Updates : https://goo.gl/suzeTB For More Updates, Please follow us on : Facebook : https://goo.gl/40iEqB Twitter : https://goo.gl/LcTAsM LinkedIn : https://goo.gl/iQCgJh Blog : https://goo.gl/9yOzvG
Views: 997 HackerEarth
Escape Big Data’s Infinite Vortex – Spectrum Business Enterprise Solutions
 
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The Big Data you collect can be used to improve business, customer service, competitive intelligence and product development. But once it’s collected, can you free it from the abyss to gain actionable insights? Yes, you can! Get your data moving - watch this video to learn more. Or, visit https://enterprise.spectrum.com/content/ent-fiber-coax-internet
Big Data for Telecom
 
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Soft QL offers a wide range of expertise in the IT areas of software development services, system integration, telecom staffing,ERP solutions and product development. Post processing . http://www.softql.com
Views: 115 Softql
Big Data – A Dowsing Rod to Locate Innovations?
 
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Lean Data Driven Product Development Event Speaker: Prof. Dr. Markus Breunig & Godehard Gerling 90% of all data in existence today were generated within the last two years. Judging from the success of the likes of Google, Facebook, LinkedIn or Quantcast, it seems that there is a lot of value in these seemingly tangled masses of data. Finding this value is nontrivial, though. Big data Analytics and Innovation can be seen as two sides of the same coin. Yet more than half of all big data projects are not successfully completed. Where does the big data hype end and how can larger amounts of data really be used systematically to drive innovation? Markus Breunig and Godehard Gerling discuss how to approach big data effectively to optimize and innovate a business based on a number of projects they have worked on, and how to combine the skills of Data Scientists, C-level Executives and IT Managers to generate real business value.
Views: 171 Comsysto Reply GmbH
How to become a Data Analyst [Career Transition Tips]
 
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How to become a Data Analyst is one of the most asked Career Transition Questions. Transitioning to the field of Data Analytics may not sound easy to do - given the nature of the career and how highly technical the domain is. But we bring to you a plan that will make the transition as smooth as possible. In the 3rd Data Analytics video of the UpGrad Careers-In-Shorts Series, Rohit Sharma, Director of the UpGrad and IIIT-Bangalore PG Diploma Program, explains here how you can make a transition (from various backgrounds) into Data Analytics. Whether you're a fresher or someone with a non-technical background; whether you already come from a technical background and just need some additional skills or even if you come with some consulting experience; this is the video for you. Click here, if you want to read a detailed content on Transitioning to Data Analytics: https://blog.upgrad.com/how-can-you-transition-to-data-analytics/?utm_source=YouTube&utm_medium=Organic_Social&utm_campaign=YouTube_Video&utm_term=YouTube_Video_Data&utm_content=YouTube_Video_Data_Transition_Data_Blog_Link Watch now and leave comments below in case you have any queries regarding the video or any other question related to your career in Data Analytics. For more information on our Program, visit this page now: https://upgrad.com/data-science/?utm_source=YouTube&utm_medium=Organic_Social&utm_campaign=YouTube_Video&utm_term=YouTube_Video_Data&utm_content=YouTube_Video_Data_Transition_Data_Program_Link 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: 87305 upGrad
Big data server
 
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This stacked big data server is designed for Fintech & Industrial applications. It also provides software development technology related to machine learning, Fintech and R network crawlers. The main goal is to improve R&D development, resulting in faster and more efficient product development. Our website: https://www.hyper101.com.
Views: 365 張正源