2017 IDUG & IBM Data Tech Summit
November 6-8, 2017 | San Jose, California
Forrester’s View on Big Data, Analytics & Open Source
Mike Gualtieri, Vice President
Mike's research focuses on software technology, platforms, and practices that enable technology
professionals to deliver prescient digital experiences and breakthrough operational efficiency. His key
technology and platform coverage areas are big data and IoT strategy, Hadoop/Spark, predictive
analytics, streaming analytics, and prescriptive analytics, machine learning, data science, AI, and
emerging technologies that make software faster and smarter.
Mike has more than 25 years' experience in the industry helping firms design and develop mission-critical applications in eCommerce, insurance, banking, travel/hospitality, manufacturing, healthcare, and scientific research for organizations including NASA, eBay, Bank of America, Liberty Mutual, Nielsen, EMC, and others. He has written thousands of lines of code, managed development teams, and consulted with dozens of technology firms on product, marketing, and R&D strategy. He is a frequent and sought-after speaker at industry, corporate, educational, and technology events for his audience-designed, insightful, and energetic speeches.
Machine Learning and Cognitive Analytics for the Enterprise
Namik Hrle, IBM Fellow
As companies align their analytics approach with their business strategy, improve strategic decisions and expand from analytics describing the past to analytics that improve the future, it is imperative that they incorporate the most current, actionable enterprise data within their analytics initiatives. Building on this data foundation will be essential to get to the next level of analytics advantage — augmented intelligence -- which can facilitate the ability to optimize business decisions, increase wallet share and maximize customer satisfaction.
Namik Hrle is IBM Fellow and works in the IBM Boeblingen Laboratory. He is a member of the IBM Academy of Technology, IBM Fellows Leadership Team, SWG Architecture Board Steering Committee and many other IBM's expert teams. He specializes in analytics and information management technology and its usage by the enterprise applications. He works closely with the IBM labs worldwide and helps customers deploy and optimally exploit analytics and information management products. He is currently developing IBM DB2 Analytics Accelerator which augments DB2 with industry leading complex query performance and appliance simplicity.