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If we don’t understand how machine learning works, how can we trust it? Increasing model transparency creates risks as well as rewards.
We’ve talked a lot about how AI could take jobs, but it actually looks like AI is the new job creator. Here are the implications of this development.
Microsoft Research AI ethics checklist is a set of published principles for designing ethics checklists that can be readily operationalized in AI DevOps processes. We commend Microsoft Research’s recent effort to catalyze consensus within the practitioner community for the purpose of developing clear principles for designing operationalizable AI ethics checklists.
Though the researchers don’t publish a one-size-fits-all operationalizable AI ethics checklist, they provide a useful discussion of the scenarios within which checklists can be helpful, and also within which they can be counterproductive or irrelevant to their intended users. This is important as the abstract nature of AI ethics principles makes them difficult for practitioners to operationalize. As befits the scope of this topic, AI applications and tool vendors are still trying to bring their ethics-assurance frameworks into coherent shape. Everybody—even the supposed experts—are groping for a consensus approach and practical tools to make ethics assurance a core component of AI DevOps governance.
HPE is wagering heavily that service providers are ready to overhaul their mobile cores and purchasing models, especially for nascent 5G environments. HPE’s 5G Core Stack targets accelerating operator monetization of 5G networks, but can the new offering beat a formidable array of competitors and their own cloud-native solutions?
In the latest episode of the Futurum Tech Podcast we cover the topic of enforced remote work and its impact on the future of work. Are we ushering in a whole new normal in communication and collaboration? As a team of 100% remote workers for decades, our team are pros at remote collaboration. We offer some of our best tips, tricks, and advice, and also talk about what this means for the future of work and how this period of enforced remote work might well result in big changes. We also touch on Cisco rewiring itself for the cloud era, hackers making hay in the wake of coronavirus fears, China-based Geely’s goals with regard to control of its autonomous vehicles (and what that means for the industry as a whole), and Minecraft hosting to host a virtual library of censored journalists and articles from around the world. Tune in, and if you’ve not yet subscribed, take a minute to do so by way of your favorite podcast app.
Big changes in AI, machine learning applications, tools, techniques, platforms, and standards are on the horizon.
Our team has more than a little experience when comes to digital transformation, so we thought it might be helpful to put together this outline of three simple digital transformation principles that will help executives, your leadership team, and your businesses adapt to the coronavirus crisis.
In the latest episode of the Futurum Tech Podcast, The Interview Series, Daniel Newman welcomes three experts to talk about robotic process automation (RPA) and intelligent automation (IA). Francis Carden is one of the founders of OpenSpan and is currently VP of Digital Automation and Robotics at Pegasystems. Lee Coulter is CEO of transformAI, and Jon Gilman is CEO of Clear Software. Together, they gave Dan some great insight on the future of RPA and IA.
Superwise.ai addresses a growing enterprise need for AI model assurance. That said, there are both challenges and opportunities ahead for this AI startup. Model assurance is the ability to determine whether an AI application’s machine learning (ML) models remain predictively fit for their assigned tasks. This is a critical feature of any operational AI DevOps platform, which is one of the reasons Superwise.ai caught my attention. I see both challenges and opportunities ahead for this AI startup.
While the markets are in chaos, Oracle showed strength as the company delivered its best revenue growth in 2 years while also topping earnings expectations.
Uber’s coronavirus proposal is good PR, but is it achievable? There are so many reasons to regard this announcement with a very big grain of salt, not the least of which are that it’s completely unmanageable (today, anyway) as well as a massive invasion of privacy—for both Uber drivers and riders.
