In this contributed article, Stu Bailey, Co-Founder and Chief AI Architect of ModelOp, discusses how financial services companies can easily validate multiple AI/ML models and reduce ML project costs by 30% through automation. ModelOps refers to the process of enabling …
Follow @IBMAnalytics Right now, businesses are focused on getting the most out of their Data and AI platform without overspending to make sure it is operational and running productive workloads. This means having an always-on, 24×7 system that can handle …
Five real-life Netezza performance server use cases Read more »
In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being …
In this special guest feature, Rachel Roumeliotis, Vice President of Content Strategy at O’Reilly Media, provides a deep dive into what topics and terms are on the rise in the data science industry, and also touches on important technology trends …
In this contributed article, Ramayya Krishnan, Ph.D., the W. W. Cooper and Ruth F. Cooper Professor of Management Science and Information Systems at Heinz College and the Department of Engineering and Public Policy at Carnegie Mellon University, discusses how history …
COVID-19: The Great Artificial Intelligence Accelerator Read more »
Follow @IBMAnalytics Talent: It’s a key issue impacting today’s AI-hungry organizations. While AI skills are in high demand, organizations admit they’re hard to come by. In fact, the lack of talent scarcity has been called out as one of the top …
In this contributed article, technologist Bernard Brode takes a look at where prediction machine learning falls short, the implications of this, and what can be done about it. Machine learning often fails in unexpected ways, which makes managing the risks …
Where Predictive Machine Learning Falls Short and What We Can Do About It Read more »
As coined by British mathematician Clive Humby, “data is the new oil.” Like oil, data is valuable but it must be refined in order to provide value. Organizations need to collect, organize, and analyze their data across multi-cloud, hybrid cloud, …
Five steps to jumpstart your data integration journey Read more »
In this special guest feature, Piyush Jain, Founder and CEO of Simpalm, discusses the many ways in which Big Data has positively influenced the manufacturing industry, along with the major challenges faced in implementation.
In this contributed article, tech blogger Caleb Danziger observes that governments and organizations across the world have employed big data to respond to the COVID-19 crisis. Some continue to sing its praises, but should that be the case? How has …