Tag: eim

As we think strategically about where technology is leading us, we need to envision both the benefits and iniquities it is creating in “the new normal.”

Rather than an expensive hindrance or a risk-avoidance tactic, businesses should view responsible AI as an enabler of technology.

Digital transformation can provide great value when done properly. Don't let unmanaged information debt undo that value over time.

On this World Backup Day, we explore how data backups are key to good business and digital transformation.

Companies cannot rely on quickly aging security tactics to keep sensitive information protected. A proactive approach is the way forward.

The recently released fourth edition of the "State of the Edge Report" found open source edge computing driving digital transformation as a result of COVID-19.

If analytics has been largely driven by big data sets in the past, that could be about to change as enterprises start looking at the benefits of small data.

Google is back in court again, this time in a $5 billion class action suit over claims it is harvesting personal data even when users are in incognito mode.

Linear responses to crises are adequate in many cases. But as we've learned in 2020, it's important to also have a robust response plan. Here's how to start.

Use the VDOCR model to build your ML implementation plan: Vision, Data, Organizational alignment, Change management and Revalidation.

It is 20 years since the Agile Manifesto was signed. However, agile as a software or business practice still remains elusive. Here's why.

Turnover is costly, making retention increasingly important. Here's how chatbots can increase employee engagement and ultimately boost retention.

Ignite 2021 saw innovations happening where Microsoft's products cross paths, including hybrid cloud and edge computing, AI and industry clouds.

The attack on Microsoft Exchange has had global repercussions, although the full extent of the damage is still unclear.

There is a close link between business processes and risk levels. Learn how to manage the former to reduce the latter.

We face a potential loss of control of business-critical applications when we do not know how AI is configured, applied and then modified.

There have been a number of high level hearings into the behavior of big tech on both sides of the Atlantic. It's only the beginning. Here's why.

Thinking about, adapting and reusing content patterns is a great way to build on past successes and avoid past failures.

RPA is evolving to be more flexible, intelligent and integrated. But none of that helps unless you’ve identified a business problem it can help you solve.

Metadata should not be treated as an afterthought or a cost to be avoided, but rather as the playbook for new opportunities.