Jobs requiring machine learning skills are paying an average of $114,000. Advertised data scientist jobs pay an average of $105,000 and advertised data engineering jobs pay an average of $117,000. 59% of all Data Science and Analytics (DSA) job demand is in Finance and Insurance, Professional Services, and IT. Annual demand for the fast-growing new […]
CEOs who can understand and identify the potential of machine learning could significantly increase their revenues or decrease their costs.
Sourced through Scoop.it from: chiefexecutive.net
Machine learning continues to expand and grow worldwide. CES 2018 provided excellent insight on the trends within the emerging technology.
Sourced through Scoop.it from: crescentvale.com
If it fulfills its promise, quantum machine learning could transform AI.
Sourced through Scoop.it from: www.technologyreview.com
We all love to share GIFs — and there are plenty of ways to do that, through online portals or keyboards — but often times because there is so much..
Sourced through Scoop.it from: techcrunch.com
People are undoubtedly your company’s most valuable asset. But if you ask cybersecurity experts if they share that sentiment, most would tell you that people are your biggest liability.
Historically, no matter how much money an organization spends on cybersecurity, there is typically one problem technology can’t solve: humans being human. Gartnerexpects worldwide spending on information security to reach $86.4 billion in 2017, growing to $93 billion in 2018, all in an effort to improve overall security and education programs to prevent humans from undermining the best-laid security plans. But it’s still not enough: human error continues to reign as a top threat.
Sourced through Scoop.it from: hbr.org
In this contributed article, Wayne Thompson, Chief Data Scientist at SAS, provides 10 tips for organizations who want to use machine learning more effectively. Machine learning continues to gain headway, with more organizations and industries adopting the technology to do things like optimize operations, improve inventory forecasting and anticipate customer demand.
Sourced through Scoop.it from: insidebigdata.com