John Thomas, IBM distinguished engineer and director of analytics, talks with Dave Vellante in NYC ahead of the recent “Change the Game: Winning with AI event in NYC” to talk about how the IBM Data Science Elite team offers data science expertise as a service to a variety of clients to a variety of
On this episode of Data Decoded, host William McKnight sits down with Rob Harris (IBM, chief data governance architect) to discuss the current state of Master Data Management (MDM). They explore MDM's many applications to industries that include healthcare and even consumer products like smart
Rob Thomas, general manager of IBM Analytics, sat down with Dave Vellante in New York City on the eve of the 13 September taping of the Win with AI digital broadcast to talk about the evolution of big data and how clients can take the next leap forward into self-service analytics before using AI to
Interested in learning what it takes to operate a start-up? On this episode of Making Data Simple, host Al Martin sits down with Simon Lightstone, IBM offering manager, to discuss what it took to get his startup off the ground. Simon offers tips to those facing a similar experience and describes
Imagine a searchable data management system that would enable you to review crowdsourced, categorized and classified data. Consider that this system would apply to all types of data — structured and unstructured — and become more robust as more users analyze it.
Oracle generated a lot of buzz prior to Oracle OpenWorld 2017 last September with their announcement of the world’s first self-driving database - Oracle Autonomous Database. However, not many details were released at announcement time. Now that the first Oracle Autonomous Database service,
Data can be an organization’s most valued asset, providing insights that help strengthen business. Knowing what works and what does not can help you invest more resources in what would work in the future. Learn more about the Watson Knowledge Catalog.
How will technology and society change in the next 50 years? On our last podcast, we discussed how technology has evolved in the last 50 years. On our latest episode we look forward to the next 50 years. 2068 may seem far away. But futurists like Rajeev Saxena, IBM Watson amd Cloud Platform Program
So what happens now when we go beyond the frontiers of the data warehouse and into the world of the data lake? – the world of Hadoop, of NoSQL, the world of schema on read, of discovering the data as is? For many organizations, the holy grail is to reap the benefits of the data lake while retaining
Floppy disks, punch cards and BASIC — we’re taking a trip down tech memory lane. How has technology, specifically in terms of data management, evolved in the past few decades? On the latest episode of Data Decoded, Andy Leonard, founder and chief data engineer at Enterprise Data & Analytics,