In my last blog I shared some tips and best practices for leveraging AI to prepare and plan ahead during this unprecedented time of disruption and change. I hope you found it helpful and refer back to it when needed (here). We are seeing an increasing impact to businesses in every industry. Supply
There is no AI without data. That’s why we’ve put together a prescriptive set of five steps we call the ladder to AI to help our enterprise clients get their data ready. The journey of the AI ladder starts with collecting the data you need to build models, followed by organizing your data so you
I am working on a project that requires a lot of research on how people are using artificial intelligence (AI) and machine learning (ML) in real-world business cases. While AI and ML are two of the hottest trends in technology, they don’t seem to be proliferating as widely or as quickly as we would
With THINK 2019 just around the corner, 12 through 15 February, there’s no better time to discover the variety of hybrid data management solutions and strategies, along with how each can help uncover actionable insights.
How do baseball scouts use machine learning and AI to predict player performance? Ari Kaplan, Principal at Aginity, and David Kearns, Offering Manager, IBM Analytics Ecosystem, join us to talk about the recent merge of H20.ai and IBM. They also discuss how baseball decisions are made using
We live in the time of profound technological shifts driven by the ever-increasing availability of data. This post discusses some of the ways data and analytics are impacting our lives; it is also a call to action, to think out of the box and look for new applications and data-driven solutions.
Phil Simon (@PhilSimon) is a frequent speaker and recognized technology expert who consults with companies on how to optimize their use of technology. His contributions have been featured in Harvard Business Review, Inc. Magazine, The New York Times, Wired, The Huffington Post, Fast Company and
It would be nice to have a crisp algorithm to pick and choose among potential big-data applications. But there isn't one.
What enterprises have instead are plenty of handy heuristics ("rules of thumb") to help prioritize among potential applications, based on factors such as business impact,
A recently released infographic aids in understanding how big data capabilities map back to enterprise strategic imperatives. I'll break this infographics down into steps and discuss each level for clarity and definition.
On January 9, 2014 IBM announced that it was forming a new organization (the Watson Group) and investing a billion dollars ($1B!) in future Watson development. The company also announced three new Watson cloud services—The Watson Discovery Advisor, Watson Analytics and IBM Watson Explorer—as well