Remove 2015 Remove Cost-Benefit Remove Data Collection Remove Optimization
article thumbnail

12 most popular AI use cases in the enterprise today

CIO Business Intelligence

Organizations all around the globe are implementing AI in a variety of ways to streamline processes, optimize costs, prevent human error, assist customers, manage IT systems, and alleviate repetitive tasks, among other uses. And with the rise of generative AI, artificial intelligence use cases in the enterprise will only expand.

article thumbnail

Sustainability trends: 5 issues to watch in 2024

IBM Big Data Hub

These efforts often go hand in hand with broader corporate sustainability initiatives and can lead to significant cost savings and improved environmental performance. trillion in economic benefits by 2030. Companies are investing in renewable energy projects and implementing energy-efficient technologies and practices.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Examples of sustainability: How new efforts are shaping the environmental future

IBM Big Data Hub

A 2023 report found that global investment in green or low-carbon energy sources exceeded USD $1 trillion, 1 while advanced data collection tools and artificial intelligence (AI) are helping to better monitor emissions and inform sustainability strategy. Today, sustainability efforts are being shaped by new urgency and new technology.

article thumbnail

MLOps and the evolution of data science

IBM Big Data Hub

The term was originally coined in 2015 in a published research paper called, “Hidden Technical Debts in the Machine Learning System,” which highlighted common problems that arose when using machine learning for business applications. While data scientists are reviewing new data sources, engineers are adjusting ML configurations.

article thumbnail

It's Not The Ink, It's The Think: 6 Effective Data Visualization Strategies

Occam's Razor

Ten years, and the 944,357 words, are proof that I love purposeful data, collecting it, pouring smart strategies into analyzing it, and using the insights identified to transform organizations. It also forces a lot less think than might be optimal. Everything seems sub-optimal. Let the audience benefit from your wisdom.

article thumbnail

Magnificent Mobile Website And App Analytics: Reports, Metrics, How-to!

Occam's Razor

Company UX leaders are happy to stink less by taking the sub-optimal path of responsive design, rather than create a mobile-unique experience (your customers tend to do different things on your desktop site than your mobile site!). In this post we will look mobile sites first, both data collection and analysis, and then mobile applications.

Metrics 141
article thumbnail

The Gartner 2022 Leadership Vision for Data and Analytics Leaders Questions and Answers

Andrew White

Yet there is no inclusion in the conversation about the costs and issues related to the battery and materials used in the most expensive part of the EV. 2015) and What is Wrong with Interoperability (in healthcare)? A data fabric that can’t read or capture data would not work. The rest seems more internal impacting to me.