Big Data and Analytics Hub spoke with IBM Distinguished Engineer John Thomas (@johnjaithomas) about some of the importance of tuning information architecture to make algorithms meet enterprise needs, as well as how machine learning can most effectively be applied in hybrid scenarios in 2018.
In this episode of the Making Data Simple Podcast, Seth Dobrin, vice president and chief data officer for IBM Analytics, and Al Martin continue their conversation about data in 2018. Find out the six steps to make your enterprise data driven, how machine learning and AI will impact your business
What's next in the world of data and analytics in 2018? In part one of Al Martin's discussion with Seth Dobrin, Vice President and Chief Data Officer for IBM Analytics, explore the strategies and people your company needs to disrupt and succeed in the year ahead. Do you or your team members need
Big Data and Analytics Hub spoke with IBM Distinguished Engineer John Thomas (@johnjaithomas) about some of the importance of focusing on information architecture to make algorithms meet enterprise needs, as well as how machine learning can most effectively be applied in hybrid scenarios in 2018.
Kick off 2018 by exploring machine learning and what it can do for your business. The authors of Machine Learning for Dummies – Judith Hurwitz, and Daniel Kirsch – are here to help you. In this episode, Judith, Daniel and Al discuss the state of machine learning today, how to use it to advance your
If the first things that come to mind when you think of AI assistants are the likes of Amazon Alexa or Google Home, it’s time to learn about embodied cognition, AI that can physically interact with its environment. A year ago, IBM researchers did just that and brought Watson services into the
Five years ago, people were talking about it. Today, it’s completely mainstream. Learn how to use cloud to enhance your business in part two of our podcast with IBM Fellow Sam Lightstone. Sam discusses how data is moved, stored, and automated in the cloud. Also, learn the steps to invention and how
It can be difficult to keep up with all the best podcast episodes during the year. That's why we've compiled the Top 10 podcasts of the year from the IBM Big Data & Analytics Hub Insights Podcast feed right here.
As happens so often, IBM is quietly laying the groundwork for the future. A recent step toward that future is TJBot, an unassuming, do-it-yourself cardboard robot that opens a window into what AI researchers are calling “embodied cognition.
Readers of the IBM Big Data & Analytics Hub were hungry for knowledge this year. They voraciously read blog posts about incorporating machine learning, choosing the best possible data model, determining how to make the most of data science skills, working with open source frameworks and more.
How do you choose and learn a new coding language? In this episode of Making Data Simple, we are joined by YouTuber and IBM Social Strategist, Caleb Curry. With over 5M view of his tutorials on YouTube, Caleb has learned a thing or two about how to teach and learn to program successfully. Discover
Information analytics has never been a “one size fits all” proposition. That applies to the hardware and software technologies organizations employ, the information being parsed and the goals of specific projects.
Machine learning concerns in Silicon Valley tend to be different from those elsewhere in the U.S. — and outside of the U.S. So, here are five tips for those hearing about machine learning efforts in Silicon Valley, but who work elsewhere. These suggestions consider where machine learning and data
What is driving change in the world of data? In his keynote from the Big Data Summit KC 2017, our Making Data Simple podcast host and IBM Analytics VP Al Martin addresses disruption, the data maturity model and the five areas business must get right to succeed in the era of cognitive computing.