Your AI program needs to incorporate fairness, transparency, security, and ethics. Here are the basics.
Companies are moving further into the cloud and undergoing data modernization. What some don’t realize yet is that one strategy is better than two.
Decision makers should consider whether conclusions are influenced by shortcomings in the observable data and whether the algorithms properly address biases.
Expert insight on how to address challenges and leverage advantages of multi-cloud.
Reaching the right “techquilibrium” will enable enterprises to compete and lead as they work toward digital transformation, said Gartner analysts during a keynote address at Gartner Symposium
With the storm of changes hitting the IT department — from cloud to AI and anytime/anywhere mobile access — the real challenge is in having the IT infrastructure keep pace.
Organizations that use intelligent automation to amplify human potential will stay ahead in the game, while those that don’t will lag.
In a recent blog post, Microsoft announced the general availability (GA) of their serverless, code-free Extract-Transform-Load (ETL) capability inside of Azure Data Factory called Mapping Data Flows. This tool allows organizations to embrace a data-driven culture without the need to manage large infrastructure footprints while having the ability to dynamically scale data processing workloads. By […]
Katharine Jarmul provides examples of data (mis)use and asking how we can work with data without violating the trust and privacy of users, producing an ethical product? By Katharine Jarmul
SAP CEO Bill McDermott, who presided over dozens of acquisitions and the launch of what may be the biggest change to SAP’s flagship product, has stepped down, making way for new leadership.