Welcome to Thoughts on AI, a new blog series focused on issues and advances in artificial intelligence. We’ll cover the technologies and people shaping the future AI. First up: avoiding bias built into intelligence and analytics.
In part two of our discussion about data in the retail industry, we continue to explore how the massive disruption in retail industry over the past several years. Data, machine learning and AI are set to change the industry yet again. Join Patrick Pitre, Analytics Client Architect IBM Cloud, and
The retail industry has experienced massive disruption over the past several years. Buyer behavior has radically changed with the continued expansion of online shopping. Now, data, machine learning and AI are set to change the industry yet again. Listen to the first in a two-part episode with
Moving data often impacts system performance, so how do you move large volumes of data safely and securely? The importance of data movement is even more critical when you consider moving data from ground to Cloud. Joe Bostian, z Systems Data Science Architect, IBM Analytics, and Mythili
Hard to believe we've arrived at the last day of Think 2018. From keynotes to panels, informal collaborations and learning sessions, we've witnessed first-hand the excitement that conversations about data and analytics bring to business.
Think 2018 is in full swing. We’re inspired hearing from leaders across industries using analytics to transform their business. And we’re thrilled to take part in conversations about data science, machine learning, AI and much more. Here are some highlights from Wednesday at Think.
The excitement, insights and innovation at Think 2018 is truly astounding. Today we heard from IBM Chairman, President and CEO, Ginni Rometty, plus industry leaders and clients who are transforming whole business sectors.
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
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
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
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.
Two paradoxes of information technology are: data has no value if you can’t access it, and it’s a liability if the wrong people access it. Company leaders don’t think they need data governance until these paradoxes hit them hard.
According to IBM CEO Ginni Rometty, data is the world’s new natural
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