Emotion Detection in Tech: It’s Complicated

The advancement of human-machine partnerships requires emotion detection and appropriate responses in context, but it’s a tough problem.

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Of all the potential types of analytics, emotion analytics is one of the toughest to perfect because human emotions are complex. For example, there are genuine reactions and fabricated ones as well as cultural and individual differences that shape our perceptions and behaviors. There are also other things to consider such as context. While emotion analytics is clearly important to the future of analytics, AI, robotics, intelligent automation and applications, the early-stage excitement can lead to unrealistic expectations.

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Accelerating the Practical Use of AI

Artificial intelligence and machine learning solutions are becoming more common across industries. Use these four steps for a successful implementation.

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The hype for how artificial intelligence can miraculously change the world continues to fill media outlets. Still, the reality of how rapidly the science behind AI is evolving and becoming mainstream in every industry and facet of business will not be impeded. By the year 2025, the intersection of “advanced” AI and intelligent machines will become a part of every user’s “things I just know how to use.”  

As more industries adopt AI solutions and become

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Future Proof Your Enterprise IT Environment and Workforce Now

Don’t bury your head in the sand. Train your people, advance your technology, and commit to prioritizing and protecting your most important assets before it’s too late.

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We live in the digital age, fully documented by social media. We favor speed over security. We lean into frictionless food delivery over financial protection. We want digital contact with the global masses without considering the privacy consequences. What could go wrong?

In 2020, we were pushed head-first into fully embracing the (once glamorized) digital lifestyle through mandated remote work. Organizations that were not previously prepared for this

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Can Cloud Revolutionize Business and Software Architecture?

Closing days of CES 2021 looked at the impact cloud may have on businesses going forward and the importance of cloud architecture.

A pair of virtual discussions during CES 2021 looked at what senior business leaders should know about the current state of the cloud and what the future may hold. The sessions featured experts from IBM, Microsoft, Accenture, and other organizations that weighed whether cloud is changing how businesses function and what significance cloud architecture may have on software development.

A session on the evolution of software infrastructure and cloud architecture brought together Roger Premo, general manager of corporate

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How CDOs Can Build Insight-Driven Organizations

Chief data officers must focus on listening to their peers in the business, delivering iterative value, and promoting their successes.

In the midst of a crisis like the one so many organizations have faced in the past year, there can be a lot of information but no obvious choice about the best course of action. In cases like these, many enterprise executives will go with their gut feeling to make a decision about a situation. After all, the organization is paying for their expertise and judgment.

But as organizations have more data than ever before and tools to gain insights

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