Jul/Aug 2020

The problem is not that artificial intelligence (AI) can make foolish errors; it is that sometimes AI can seem really smart. This makes people think there is some underlying ability that doesn’t really exist. To take AI to the next level, we’ll need to look inside to consider why AI is sometimes really smart . . . and sometimes not.

• Charles Simon

In today’s environment, organizations need to embrace digital transformation for survivability in the years ahead. We can think of this as the ABCDEs. We need to be “data-informed” (versus strictly data-driven) and also apply our experiential learning through intuition-based decision-making.

• Jay Liebowitz

One of the latest developments in automation is hyperautomation, which has been featured at the top of several 2020 trending technologies lists. Yet, despite coverage on the subject, the way it functions in a particular context makes it somewhat difficult to understand. Here’s a look at what hyperautomation is and how it will function within the supply chain industry.

Having been forced to enact mandatory work-from-home policies in a matter of weeks, companies across industries are now adopting remote hiring models in order to meet their recruitment demands. While it might be the massive layoffs taking place across startups and enterprises alike that are making the news, there are still thousands of businesses that need to hire during the crisis.

• Sanjoe Jose

From disrupted supply chains, and the inability to adequately protect patients and healthcare personnel, to massive shortages in capacity, drugs, devices, testing kits and supplies, the novel coronavirus pandemic is still creating unprecedented challenges for healthcare providers and public health. As we try to anticipate and avoid a second wave of COVID-19, there are still a number of important challenges confronting hospitals, health systems and public health agencies. For this article, I have identified 12.

• Andy Dé

Ssome of the main technology drivers that help achieve digital transformation come from what we might call the “Straight A’s”: applications, automation, analytics and artificial intelligence (AI). This article considers each one.

• Dharmesh Godha

Optimizing the way your company leverages data requires a strong data culture, across all teams. Let’s dive deep into why prioritizing data culture above all else is the key to realizing the full potential of your data journey.

• DJ Das