Unleash the Power of Big Data and Machine Learning
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The document discusses the transformative impact of big data and machine learning on enterprises, highlighting trends such as customer intimacy and digital transformation. It outlines the challenges companies face in becoming data-driven and suggests strategies, including collaboration between data science and IT, to operationalize analytics effectively. Additionally, it emphasizes Talend's innovations in big data integration, offering solutions to enhance data management and predictive capabilities.
Unleash the Power of Big Data and Machine Learning
- 1. 1 ©2016 Talend Inc Unleash the Power of Big Data and Machine Learning Isabelle Nuage Dir. Product Marketing Big Data
- 2. 2 Making Sense of Volume & Complexity https://offshoreleaks.icij.org/
- 4. 4 Trends in Data-driven Enterprises Smart Sensors & Devices Customer Intimacy Digital Transformation 2016 Revenues YoY Growth Faster Data Better Data New Data Opportunities
- 7. 7 Challenges In Becoming Fully Data-Driven Lack of skillsets Only using sample data Takes to long to deploy a data model Analytics models change frequently Unproductive hand-coding 1 2 3 4 5
- 8. 8 How to Turn Data Science Into Production? DJ Patil, U.S. Chief Data Scientist at White House Office The IT team Iterate & Collaborate
- 9. 9 Bridging the Gap Between Data Science & IT Create/tune/train predictions, models, scores Operationalize analytics Continuous delivery Full access to data lake for modeling Data Scientist IT Shorten time for IT teams to deliver #TalendConnect
- 11. 11 Camera Tracking Systems An array of cameras around the field capture the players and ball positions LIVE
- 12. 12 aggregate the speed and distance run of each player IN REAL TIME Our goal:
- 13. 13 • The camera array sends a feed of 25 frames per second • Each frame captures the x,y,z coordinates of every player • A live feed of sport data is actually pretty serious Big Data! Challenges
- 14. 14 Demo Architecture Database Ingestion Process Store VisualizeDeliver ALL designed in Talend
- 16. 16 Next Step: From Analysis to Prediction Team stats Who is the most likely to score next? Which team is going to win? Individual players stats Which player needs a rest? Which players are being traded ( bring in historical data)
- 17. 17 Predictive Maintenance eCommerce Optimization Precision Farming Smart Buildings & Cities Back to the Enterprise World
- 18. 18 5 Steps to Become Fully Data-Driven = Insights & ValueGOAL Access to Everything1 Collaborate2 Continuous Delivery3 Combine Historical + New4 Batch + Real-Time5
- 19. 19 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 (Revenue Growth) Data Integration Master Data Management Data Quality Big Data Application Integration Hadoop 2.0 Spark & Cloud • The most advanced Big Data integration platform • 10X faster development • One solution for batch & streaming • Deploy machine learning in minutes Talend: A History of Innovation Data Preparation 1st to market for Spark 1st to deliver a DI and AI platform 1st ETL open source tool 1st on YARN & Hadoop 2.0
- 20. 20 ©2016 Talend Inc Real-Time Big Data Sandbox Download your Free Sandbox http://www.talend.com/products/real-time-big-data
- 21. 21 ©2015 Talend Inc THANK YOU!