3 Hurdles to Overcome for AI and Machine Learning

Artificial intelligence and machine learning have distinct limitations. Businesses looking to implement AI need to understand where these boundaries are drawn.

Although we are still in the infancy of the AI revolution, there’s not much artificial intelligence can’t do. From business dilemmas to societal issues, it is being asked to solve thorny problems that lack traditional solutions. Possessing this endless promise, are there any limits to what AI can do?

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Yes, artificial intelligence and machine learning (ML) do have some distinct limitations. Any organization looking to implement AI needs to understand where these boundaries are drawn

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The Right Tech Exec to Lead Diversity and Inclusion Efforts

Accountability for diversity and inclusion revolves around data. The ability to manage that data can raise thorny questions over which executive should lead the way.

The message has been heard, loud and clear. The business case for diversity and inclusion has grown more robust as an essential means for fostering innovation and unleashing value.

A McKinsey study, the third of a three-year series, suggests that a diverse executive leadership team correlates to greater profitability. The 2019 results indicate that “companies in the top quartile for gender diversity on executive teams were 25% more likely to have above-average profitability than companies

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Dark Side of AI: How to Make Artificial Intelligence Trustworthy

It’s in every organization’s best interest to implement security measures that counter threats in order to protect artificial intelligence investments.

Security and privacy concerns are the top barriers to adoption of artificial intelligence, and for good reason. Both benign and malicious actors can threaten the performance, fairness, security and privacy of AI models and data.

This isn’t something enterprises can ignore as AI becomes more mainstream and promises them an array of benefits. In fact, on the recent Gartner Hype Cycle for Emerging Technologies, 2020, more than a third of the technologies listed were related to AI.

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The Other CFO: The Rise of the Cloud Economist

Here’s why you need someone on hand who understands the technical and financial aspects of cloud management so that things don’t spiral out of control.

Like it or not, cloud fees aren’t predictable capital costs. And like it or not, cloud usage is on the rise. IDC forecasts cloud spending will dramatically increase as organizations continue to fund and accelerate their cloud deployments during the current pandemic.

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Without someone on hand who understands the technical and financial aspects of cloud management, things can spiral out of control; anyone even slightly familiar with cloud providers knows service options

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Data Science: How the Pandemic Has Affected 10 Popular Jobs

Data science jobs aren’t as plentiful as they used to be. Here’s a snapshot of where average salaries and postings stand today.

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A year ago, data science was undeniably among the hottest tech careers. Even as recently as this past April, analytics salaries were holding steady. However, as in so many other areas, the pandemic changed everything.

In the early days of the COVID-19 pandemic, tech jobs seemed largely unaffected by the crisis. But that shifted throughout the late spring and summer. A July report from job site Indeed.com warned that technology job postings were not

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