Category: AI

May 28, 2020

Shelly Kramer

Futurum Tech Webcast

The Role of AI in a Pandemic, the Launch of Responsible AI, and What’s Ahead – Futurum Tech Webcast Interview Series

In this special episode of the Futurum Tech Webcast — Interview Series, host Shelly Kramer interviews Rob Walker, Pega’s VP of decisioning and analytics to discuss the role AI is playing in the pandemic, the launch of Pega’s Responsible AI ethical bias check, how empathy and ethics come into play and impact the bottom line, and also how organizations can benefit from leveraging AI moving forward.

May 14, 2020

Daniel Newman

Research Note

NVIDIA GTC 2020: The Next Wave of Enterprise AI

NVIDIA's annual digital event, GTC, made a big splash as CEO Jensen Huang announced several key advancements in AI that will shape its future.

AI, Cloud, Hybrid Cloud, Infrastructure, and Operations, Processors, Semiconductors and Components

May 13, 2020

Sarah Wallace

Research Note

Siemens Continues Combined Efforts of MindSphere and Mendix

Siemens continues efforts for IoT with enhancement and combined efforts of its MindSphere IoT system and Mendix low-code software application. Digital twin, advanced analytics, edge-to-cloud and a growing partner ecosystem also add to its IoT offerings.

AI, Cloud, Data Analytics, Edge Networking, Hybrid Cloud, Infrastructure, and Operations, IIoT, Industrial Devices, IoT

April 28, 2020

Daniel Newman

Analyst Insight

Emotional Recognition Tech — Is It Dangerous to the Recruitment Process?

Companies are starting to use emotional recognition technology for recruitment. But we know the results should not be accepted without further research. It simply isn’t fair for us to judge other people for what they’re feeling—especially if, as the science shows, we actually don’t know.

April 22, 2020

Daniel Newman

Research Note

NVIDIA CEO Jensen Huang Commits to No Layoffs and Raises For All Employees

Amidst one of the world's most challenging times, Nvidia CEO Jensen Huang has committed to no layoffs and raises for al Nvidia Employees.

March 23, 2020

James Kobielus

Analyst Insight

Making AI’s Arcane Neural Networks Accessible

March 20, 2020

Olivier Blanchard

Analyst Insight

Love and Robots in the Time of Cholera

As the 2020 Coronavirus pandemic forces populations around the world to adopt social distancing strategies, many of the technologies that we considered “complementary” to our traditional day-to-day productivity have now become our primary modes of presence, collaboration, and productivity.

March 20, 2020

James Kobielus

Research Note

How AI Can Potentially be Used in the Battle Against Pandemics

How AI can potentially be used in the battle against pandemics – exploring the potential use cases of AI for battling coronarivus COVID-19 and beyond.

March 18, 2020

James Kobielus

Analyst Insight

Mitigating the Risks of the AI Black Box

If we don’t understand how machine learning works, how can we trust it? Increasing model transparency creates risks as well as rewards.

March 17, 2020

Daniel Newman

Analyst Insight

AI: The New Job Creator

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.

March 16, 2020

James Kobielus

Research Note

Microsoft Research AI Ethics Checklist Crafts Principles for Designing AI DevOps Processes

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.