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Your weekly round-up of the questions asked by readers of CIO, Computerworld, CSO, InfoWorld, and Network World examines how agentic AI will change the careers of software developers; how useful is Microsoft CoPilot in Excel; and what are the security challenges of using AI for data platforms.
New studies into the uniqueness of quantum information for future technologies open up fresh possibilities for data utilisation
At its annual Minds + Machines conference, GE Data is unveiling a slew of extensions to its Predix Edge PaaS
At OpenWorld, Oracle is rolling out Adaptive Intelligence apps to ERP, HCM and SCM, an 'autonomous' database and new PaaS offerings
As the EU's deadline for new privacy regulations draws near, enterprises need to get a handle on what data resides where
SAP aims to leave your data where it finds it, centralizing only the processing, not the storage
In this Q&A, the CEOs of AT&T Communications and Oracle talk about working together to move thousands of databases to the cloud
Oracle's Cloud at Customer on-premises offering is now synced with its public cloud
IT has the best handle on what it will take to do a massive EV rollout
A new approach to limit how much of your data you need to share is being offered it to companies for free
The combo yields a trusted system of records that can be shared between disparate partner companies
The technology challenges surrounding the Internet of Things (IoT) are relatively small compared to the real world challenges that are often cultural and not easily addressed by technology solutions alone.
5G must be much more than a pipe for Big Data;, if we do it right, Big Data will be intertwined in the fabric of what makes the 5G network different and smart.
How to use workforce data as a strategic advantage
The post Ultimate Guide to Workforce Analytics appeared first on Whitepaper Repository -.
We meet Magan Naidoo, Chief Data Office of the World Food Programme. Magan tells us how he started out in software engineering but transferred into data when his bosses recognised his talent for connecting technology to business problems, and flew him across continents to have him lead on an important project. He talks about his desire to understand and solve problems from first principles rather than just do things on request. Magan gives advice to those starting out: figure out where you can add value, and work hard. He describes how important it is to really define the terms of engagement on any project, and not to presume anything. And he talks about his finest achievement being his current work building a future proof data organization to help solve world hunger.
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