Life sciences have been a step behind in implementing advanced digital technology and solutions such as IoT and artificial intelligence for data analytics. Google’s Cloud Life Sciences solution follows the company’s roadmap of embedding intelligence to take advantage of IoT and AI (plus machine learning), making it easy to enhance the data analytics process.

Digital transformation spending is expected to surpass $6 trillion over the next four years, largely for IoT, machine learning and data analytics. For industries and enterprises in 2020, various data-driven directions will guide their tech decisions — with nine of these directions having the strongest impacts. ClearObject’s new whitepaper tells you what they are.

There are certain applications of machine learning we should appreciate more than we do. The guess is that many people simply don’t realize the role machine learning plays in these solutions. Or maybe we just take them for granted, although we shouldn’t.

Since trust can be an issue in managed services circles, we thought we’d connect some dots for our ClearObject Engineering Cloud and IBM ELM managed services. Ends up, the trust factors align pretty well with the factors from KPMG.

When it comes to wish lists, making toys and delivering presents to millions of children around the world, Santa and his eleves and helpers rock. But they could still benefit from using things like machine learning and data analytics and even robotic process automation for what they do.

For IBM and its flagship solution for application lifecycle management (ALM), the news is as good as it gets. In Ovum’s 2019–2020 decision matrix for ALM and DevOps solutions, the analyst firm has rated the IBM Engineering Lifecycle Management product — IBM ELM for short — as a market leader.

Call it a day of reckoning to gauge a retailer’s success. Or even their survival. And to make decisions that spur customer spending, understanding customer behaviors and buying patterns is never more critical for retail management than on Black Friday.

It isn’t surprising that AI and connected devices have made product engineering harder. So have more complex development requirements and things like increased testing and seemingly endless lines of code.

It’s all why IBM went back to the drawing board for its IBM Continuous Engineering solution earlier this year, beginning with a new name. Retitled IBM® Engineering Lifecycle Management (ELM) for the version 6.0.6.1 release, th...

Prescriptive analytics are set to transform business intelligence and the way business leaders make decisions. And as more data analytics tools become available for prescriptive methods, don’t be surprised to see the model become a holy grail in industries of all kinds.

For what ClearObject views as the Year of IoT and Machine Learning in 2020, prescriptive analytics is one of the data-driven directions we see as steering the n...

In the world of technology, innovating a successful solution for one of your customers is the best story any business can tell. ClearObject has delivered solutions for IoT projects and connected components, data analytics, AI, machine learning, predictive modeling and more—including managed services for organizations using IBM development tools.

In many cases, these solutions go beyond what our customers ever thought possible....