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.
What are your major concerns before flying on a trip? Would you ever give up your seat due to overbooking? How do airlines predict weather patterns and take proactive action to minimize delays? In this episode of Making Data Simple, Yianni Gamvros, Global Data Science Enablement Leader for IBM
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
Experts share their on-the-ground impressions of the IBM Chief Data Officer Summit, the perception of the CDO role amongst audience participants, and discuss how data science and the chief data officer role interact.
Augmented reality will change the way we experience data. But, what will this new reality look and feel like, and how can we take advantage of it to make better decisions? Tune in to this episode of Making Data Simple to learn about augmented reality data visualization from Ben Resnick and Alfredo
If you’re holding an event for the very first time, what helps you gauge its success? At IBM Analytics University, we turned to social media analytics. Here’s a summary of what we learned from the experts and from Watson Analytics for Social Media.
In this episode of Making Data Simple we hear insights from IBM Machine Learning Hub data scientists Jorge A. Castañón and Óscar Lara-Yejas as they discuss what machine learning is and is not. They also answer the most controversial question today: Will machines take our jobs? Come find out!
IBM Analytics is coming to Berlin and New Orleans this October. Here are five traits that make the conference unique. Can't make it? Join the Facebook livestream on October 10 or watch the replay to hear the opening session keynotes from Joel Shapiro and Marc Altshuller.
How do you provide answers to clients prior to them asking? What do you do with an abundance of client data? In this episode of Making Data Simple, Tracy Bolot, Director of Digital Client Support for Analytics at IBM, talks about how to maximize teamwork and strengths to enrich your clients'
In this episode of the Finance in Focus podcast, listen as Boxley Llewellyn, VP for customer insight and cognitive engagement at IBM and Rob Heiser, president and CEO of Segmint discuss the new partnership between IBM and Segmint and how it brings together the speed and agility of Segmint’s KLIs
In a time when data is perhaps a business’s most valuable resource, the ability to access, protect and analyze information plays a critical role in an organization’s overall multi-cloud strategy. Here's how to succeed.
Learn how the IBM Integrated Analytics System, a unified data platform built on the IBM Common SQL Engine, helps do data science faster with high performance, embedded machine learning capabilities and built-in tools for data scientists to deliver analytics critical to increasing your organization’