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
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
Real-time data analytics is becoming a more important tool for businesses seeking to maximize productivity and establish themselves as leaders in the ever-changing landscape of evolving business practices today.
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
What does it mean to "go digital?" This week on the Making Data Simple Podcast, Thomas Hronis, worldwide digital technical enablement manager, IBM Hybrid Data Management, talks about digital transformation and experimentation with technology. He shares how IBM has radically changed some business
Two of the the most popular IBM podcasts collide in this special episode of Making Data Simple. Host Al Martin interviews William McKnight, president at McKnight Consulting Group and host of the Data Decoded podcast. Al and William discuss the pros and cons of big business versus consulting, trends