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Make your pitch for chaos engineering practices
12 Oct 2018Is your QA team ready for chaos engineering? Find out how to prep staff for resilience engineering and why you should avoid that 'chaotic' name altogether. Read More
Hadoop data governance takes hold in companies as data gets 'bigger'
07 Jun 2017LinkedIn, Cleveland Clinic and fitness company Beachbody are examples of organizations that have increased their data governance efforts in connection with big data applications. Read More
5 trends for SQL Server environments as SQL Server 2019 looms
01 Feb 2019SQL Server is undergoing new changes, as Microsoft prepares to release the 2019 version of the database software. Other changes are also on tap for SQL Server users. Read More
Enterprises are crowdsourcing AI development
15 Apr 2019By crowdsourcing AI development, enterprises can broaden the knowledge base of their machine learning applications, and early adopters are showing promising results. Read More
LogicMonitor wades into AIOps with anomaly detection
26 Jun 2019Another country heard from in AIOps: LogicMonitor rolls out anomaly detection and alert dependency correlation, but can it rise above the noise? Read More
Deriving value out of data: Unlocking possibilities in print production
07 Mar 2019IoT is transforming the way of life for print service providers, says HP's Dave Prezzano. Learn how connected printers and smart sensors are helping PSPs gather data, perform predictive maintenance ... Read More
Google: Triada backdoors were pre-installed on Android devices
10 Jun 2019Google detailed the discovery and process of removing Triada malware after a supply chain attack led to backdoors being preinstalled on budget phones in overseas markets. Read More
Health IT security should consider these leading vendors
29 Apr 2019Explore these leading products in the cybersecurity market to best protect healthcare systems and patient data from falling victim to cyberattacks. Read More
Data scientist vs. business analyst: What's the difference?
25 Apr 2018Data science and business analyst roles differ in that data scientists must deep dive into data and come up with unique business solutions -- but the distinctions don't end there. Read More
Good data quality for machine learning is an analytics must
19 Jul 2018As companies add machine learning applications, they need to really understand -- and be able to improve -- their data. That's where data quality initiatives come in. Read More