To attain digital transformation maturity, organizations have to build a foundation of trusted customer and product data. This includes integrating policies which control how data is used within the enterprise and protecting sensitive information.
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.
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
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.
Back by popular demand, Tanmay Bakshi returns to the Making Data Simple podcast to update our listeners on his groundbreaking work applying AI and machine learning to the healthcare industry. From exploring EEG patterns to enable people to communicate without speech to predicting adverse reactions
Will artificial intelligence remake business as we know it? Will AI change the way we do our jobs – or reshape entire categories of careers? How can businesses harness the transformative potential of AI and outplay the competition? Leaders from a broad range of industries and expertise will be