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More organizations turn to hybrid cloud for data management strategies

The options can be any combination of multiple public clouds, or more traditionally the public cloud augmenting and adjusting the technology use within the organization to better fit the client needs.

​Waze-fed AI platform helps Las Vegas cut car crashes by almost 20%

Predictive analytics allow Las Vegas traffic authorities to take preventative action that reduces the risk of collisions.

Here’s How Big Data Can Improve Safety In The Workplace

Big data has made its way into virtually every aspect of our lives, and that now includes the workplace. When it comes to job safety, big data can improve safety to create a healthier work environment for employees. Big data can give us insight into what we’re doing wrong so that we can take steps to reduce injuries and illnesses in the workplace.

Can Advancements In Data Science Address The Challenges To Cybersecurity?

The growing complexity in IT networks along with the emergence of technological marvels like Internet of Things, the global connectivity is headed to its peak. The evolution of smart algorithms, artificial intelligence, machine learning, and other cutting-edge, innovative technologies shows a promising future. However, amidst all this technological upheaval, a menace called cybersecurity threat is also emerging profoundly. In fact, the inventiveness and sophistication of cyber attacks have also grown in an equal proportion, if not more!

Percent of BI deployments in the cloud more than doubles in two years

About one third of new business intelligence deployments in the last two years have been on cloud-based platforms, more than double the percent of BI projects undertaken on cloud platforms two years ago.

Pure Storage launches cloud data management suite for AWS in hybrid play

Pure Storage is launching its software on AWS to run natively and bridge on-premises deployments. Think hybrid infrastructure to hybrid applications on multiple cloud.

7 Lessons That Will Teach You All You Need To Know About Machine Learning

Before discussing the ways in which you can learn all you need to know about machine learning, we would like to discuss what the subject matter actually is. Machine learning is essentially teaching a computer how to make decisions with the help of relevant data. It is very important for the computer to be able to understand patterns without being fully programmed.

Can Predictive Analytics Help Improve Your Instagram Strategy?

I have wrote extensively on the benefits of using predictive analytics and other big data technologies in marketing. One of the topics I have barely touched on is the benefits of using predictive analytics in Instagram, and how it can help you improve your Instagram strategy. I felt like it was important to discuss it in this piece, because Instagram is becoming a more important marketing vehicle than ever.

THE AI DISRUPTION BUNDLE: The guide to understanding how artificial intelligence is impacting the world (AMZN, AAPL, GOOGL)

This is a preview of a research report bundle from Business Insider Intelligence, Business Insider's premium research service. To learn more about Business Intelligence, click here. Artificial intelligence (AI) isn't a part of the future of technology. AI is the future of technology. Elon Musk and Mark Zuckerberg have even publicly debated whether or not that will turn out to be a good thing.See the rest of the story at Business InsiderSee Also:19 of the coolest things your Google Home can doHow an academic specialist in human memory created a chat app that's helping companies fight harassment and discriminationAI could soon be all around us — here's how that could upend 8 different industries

What To Know About The Impact of Data Quality and Quantity In AI

Believe it or not, there is such a thing as “good data”and “bad data” — especially when it comes to AI. To be more specific, just having data available isn’t enough: There’s a distinction worth making between “useful” and “not-so-useful” data. Sometimes data must be discarded on sight because of how or where it got collected, signs of inaccuracy or forgery and other red flags.
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