On this week's episode of Making Data Simple, we talk about the future of AI, machine learning, and Watson with Steven Astorino, VP of development, hybrid cloud, z Analytics and IBM Canada lab director.
The business that gets there first won’t necessarily win digital and AI game. It will be the one that ingrains digital and AI in its business as much as possible. Starting from applying intelligent data science where it matters most and progressively using it in every aspect of the business.
James Wade, Director of Application Hosting at Guidewell and IBM Analytics Hemanth Manda spoke with Dave Vellante in New York City on the eve of the 13 September taping of the Win with AI digital broadcast about the challenge of getting data ready for AI and how IBM Cloud Private for Data can help.
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
The IBM Integrated Analytics System (IIAS), is a unique, cloud-ready appliance and machine learning platform wields the power of an in-memory, massively parallel processing database engine with embedded Spark. It also runs on market-leading IBM Big Data Servers and IBM FlashSystem 900 storage
On this week's Making Data Simple Podcast, we are joined by Steve Moore, IBM senior content designer and story strategist, along with Aishwarya Srinivasan, IBM data scientist and deep learning researcher. Aishwarya discusses what it means to be a unicorn in an industry and why it is useful to pair
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.