How is data science changing with the availability of high-performance data platforms? Vikram Murali, director of IBM Integrated Analytics Systems and Db2 Event Store development, Jay Wentworth, STSM of appliance architecture, and Thomas Chu, director of offering management and hybrid data, join Al
In this special podcast, our Making Data Simple Podcast host Al Martin is joined by Caleb Curry, data guru for IBM Hybrid Cloud, and Sam Lightstone, IBM fellow of analytics, to talk about their session at the IBM Think 2018 Conference: "Next-Generation Data Management: Power and Simplicity to the
For decades, a company’s database usually had a single job: operating as either an operational — also known as transactional — database or acting as a data warehouse. It was also typically deployed in a single location: on premises. Today, companies not only want more from their databases, but also
In this week's episode of Making Data Simple, Al Martin and Adam Storm, IBM senior technical staff member and master inventor, next-generation HTAP architect, sit down to talk about fast data. Adam also covers the pros and cons of different information architectures and the software you can use to
While the proliferation of data will be readily apparent, deciding what to do in response will be less straightforward. The majority of workloads currently sit in traditional, on-premises environments but we’ll see many of them move to private and public clouds over the next over the next five
Spreadsheets remain one of the most popular tools for business professionals today. Unfortunately, while they can be great for personal productivity, they’re ill-suited for large-scale planning, budgeting and forecasting.
How does artificial intelligence (AI) come into play on a day-to-day basis? In this episode of Making Data Simple, Jean-François Puget, distinguished engineer, machine learning and optimization, and Steve Moore, senior story strategist for Inside Machine Learning on Medium, join host Al Martin to
Empowered and humbled: that’s the roller-coaster, sweet-and-sour ride I’m on when I attend Think. I’m empowered and emboldened to follow my dreams and push the boundaries of what’s possible. I’m humbled, realizing how far I have to go to push my own boundaries and myself.
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