Remove 2019 Remove Big Data Remove Data Processing Remove Machine Learning
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Trends in data, machine learning, and AI

O'Reilly on Data

The O’Reilly Data Show Podcast: Ben Lorica looks ahead at what we can expect in 2019 in the big data landscape. For the end-of-year holiday episode of the Data Show , I turned the tables on Data Show host Ben Lorica to talk about trends in big data, machine learning, and AI, and what to look for in 2019.

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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly on Data

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. You can find full results from the survey in the free report “Evolving Data Infrastructure”.). Data Platforms.

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Big Data Makes Black Hat Hackers More Terrifying Than Ever

Smart Data Collective

Big data is the lynchpin of new advances in cybersecurity. Unfortunately, predictive analytics and machine learning technology is a double-edged sword for cybersecurity. Datanami has talked about the ways that hackers use big data to coordinate attacks. Phishing-as-a-Service on the rise, due to big data.

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#AskSAP 2019 Analytic Trends Webinar

Timo Elliott

Andy Bitterer and Timo Elliott talking about the top ten analytic trends for 2019. The first #AskSAP web seminar of the year was on the topic of the top trends in analytics for 2019. Top 10 analytic trends for 2019. I hope you enjoy it as much as we did!

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Big Data Is The Core Of Your Audience Targeting Strategy

Smart Data Collective

Big data is making it easier for marketers to make the most of their campaigns. Facebook, Google and other major companies collect massive troves of data , which are invaluable for advertisers. Unfortunately, this data is useless without a well-thought out strategy. Big data is vital to consumer research.

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Big? ?Data:? ?The? ?Secret? ?to? ?Starbucks’? ? Supply? ?Chain? ?Success?

Sisense

And these aren’t the only figures that have grown over the years: in 2019, the firm recorded its highest-ever revenue, having generated over $26.5 Invest in data, invest in your company. It’s no coincidence that this recent growth has come alongside a huge investment in data analytics. Going big by going mobile.

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Deciphering The Seldom Discussed Differences Between Data Mining and Data Science

Smart Data Collective

The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Unfortunately, despite the growing interest in big data careers, many people don’t know how to pursue them properly. Where to Use Data Science? Where to Use Data Mining?