Six Steps for Businesses to Earn AI Trust
The growing reliance on AI and machine learning in the coming decades can have a negative impact on many jobs while raising new social issues. Yet, businesses can minimize those impacts.
AI & Machine Learning: An Enterprise Guide
A collection of information resources designed to help enterprise IT professionals launch and advance their artificial intelligence, machine learning and automation initiatives.
Continuous Processes Feed the Gig Economy
As more business processes move toward real-time and near-real-time, companies are finding themselves with skill shortages. One good way to fill the gaps is with "gig workers" who can be scaled up or down as required.
Where AI Can Turn 'Buzz' into 'Biz' Today
AI can expedite manual processes that exist throughout an enterprise, but the nature of the human insight is necessary to rationally manage these processes and make contextual decisions.
Who Is Winning the Race for Tech Talent?
Ever wonder how Google, Microsoft, and IBM are winning the race for tech talent? It just might boil down to the ability to weave relevant learning and development opportunities into every stage of employee life cycles.
Risk Management Is Evolving: Are You On Board?
IT risk management is a mature topic, but it continues to evolve with technology. As rules-based systems are supplemented with self-learning systems, IT departments, risks managers and business leaders need to update their thinking.
What Boards and CEOs Should Be Asking CIOs
Boards and CEOs are more tech-savvy than they once were, but they still don't always know the best questions to ask CIOs. With the push for digital transformation they need to be armed with the right questions at the right time.
What can go wrong with DevOps? Plenty, but you can still learn from your mistakes and the mistakes of other people.
Stop Talking Gobbledygook to the Business
For all of the promise that AI and machine learning have for an enterprise, you won't realize the technology's potential if data scientists blather in data science speak.