Tag: artificial intelligence

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.

AI Platforms

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.

AI Platforms

March 20, 2020

James Kobielus

Market Coverage

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.

AI Platforms

March 13, 2020

James Kobielus

Market Coverage

Superwise.ai Addresses Growing Enterprise Need for AI Model Assurance

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.

AI Platforms

February 21, 2020

Olivier Blanchard

Market Coverage

Quick Take: What you need to know about the EU’s newly proposed guidelines for Artificial Intelligence

AI Platforms, Sustainability, Markets, and Policy

January 10, 2020

James Kobielus

Analyst Insight

CES 2020: Making Sense of the Glut of Innovation on Display

AI was both a big “winner” and a big “loser” at CES 2020 this week. A winner because just about every vendor’s messaging touted AI as a key feature, but there are a few key reasons that that trend could be troublesome—and brands should take note. My prediction is that AI, though it will remain a core solution capability in coming years, will be a less salient feature in next year’s vendor messaging surrounding CES. Instead, we’ll be immersed in 5G mania. Here’s more on that front.

AI Platforms, Digital Leadership & CIO

December 11, 2019

Daniel Newman

Analyst Insight

NVIDIA Is Poised to Dominate the AI Inferencing Chipset Market through 2021

NVIDIA continues to flex its technical muscle in Artificial Intelligence (AI) to seize new opportunities in the fast-growing chipset market. Long known as the powerhouse of AI “training” solutions, the company has recently been pushing into the adjacent—and potentially much larger—market for AI “inferencing” products. What does that mean for the future of the AI wars? Let’s take a look.

AI Platforms, Digital Leadership & CIO, Semiconductors, Supply Chain, & Emerging Tech

December 5, 2019

Shelly Kramer

Analyst Insight

Why a Service Provider Makes All the Difference for Your AI Projects

AI is taking over the world, or at the very least, our business budgets, but that doesn’t spell success. Learn how a service provider can be the difference maker.

AI Platforms

July 3, 2019

Shelly Kramer

Analyst Insight

How to Succeed with RPA — Adjust Your Thinking

Success with RPA is all about adjusting your thinking. That’s what digital transformation is all about—it’s not the technology, it’s about people. In the past we weren’t looking for (or thinking about) things like “how do we make this easier for employees” or “how do we make this better for the customer.” Now we are thinking about these things, and we’re building processes that think the way that employees think, or want and we’re focusing on what customers want and need from us.