Machine learning has joined artificial intelligence (AI) as the hottest technology topics of 2018. We asked our expert influencers to share their thoughts on the state of the industry: where it's going, and how and why companies should be adopting machine learning and AI.
Machine learning is being used at the heart of next- generation methods for self-driving cars, facial recognition, fraud detection and much more. At IBM, we’re applying machine learning methods to SQL processing so databases can literally learn from experience.
Technology trends and growth areas can vary in different parts of the world. In this week's podcast, Keichii Okada, vice president of IBM Tokyo Software & Systems Development Lab, discusses how natural language technology is helping to advance business strategy and healthcare in Japan. He also
Many companies are expected to pursue data management, advanced analytics and cognitive computing to stay competitive and drive revenue. Except for a handful of leaders such as LinkedIn, Netflix, Nordstrom, Target and Verizon, most companies are still struggling to close the gap between data
The search function is a very powerful tool, assuming you have concrete keywords or concepts to find in your data. And that does not even take into account the size of the information you might be searching.
Would you like a car that responds to voice commands? What about regularly changing seats at the Super Bowl to experience different views of the game? In this episode of Making Data Simple, learn about the Internet of Things (IoT) and the steps to invention from Lisa Seacat DeLuca, IBM
Join us 27 February at 1 PM ET for "Machine Learning Everywhere: Build Your Ladder to AI." Visit the event landing page to learn more about the event and register for a calendar reminder: ibm.com/mleverywhere
Today, unstructured information represents more than 90% of the information within organizations. This IDC case study estimates that the digital universe will grow 40 percent per year over the next decade and, by 2020 it will reach an astounding 44ZB or 44 trillion gigabytes.
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