Thursday, September 6, 2018

10 must-have features in big data analytics tools; the jobs most at risk of being taken over by AI tools; five GDPR compliance to-do items

AI, Analytics and Big Data Digest

Artificial intelligence, BI and data management content from TechTarget | September 6, 2018

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10 must-have features you should look for in big data analytics tools
By George Lawton, Contributor

Looking for a big data analytics tool? You'll want to make sure it lets you embed analytics results for real-time decisions, easily integrates with applications and offers version control, among other vital capabilities.
(SearchBusinessAnalytics.com)

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NEWS
 
AI and jobs collide as increased automation of work looms

AI automation will eliminate a broad swath of today's jobs over time, but some types of jobs are likely to disappear sooner than others due to the uneven pace of technology development.
(SearchEnterpriseAI.com)

 
IBM and AI: Researcher talks current and future projects

The ultimate goal of numerous IBM AI projects is to create software programs to augment human skills, not to take jobs away from people, IBM researcher Costas Bekas says.
(SearchEnterpriseAI.com)

 

Alteryx 2018.3 gives users new data visualization options

The latest version of Alteryx's data preparation and analytics software adds new visualization capabilities -- something that a beta user and BI industry analysts say was needed.
(SearchBusinessAnalytics.com)

 
Graph processing tools offer credit analysis firms an edge

Graph database startup TigerGraph's parallel loading, processing and querying capabilities combine to deliver real-time data for fintech firms that offer fast credit evaluations online.
(SearchDataManagement.com)

EXPERT ADVICE
 

5 to-do items to put on your GDPR compliance checklist

It's never too late to fine-tune your GDPR strategy. Expert Anne Marie Smith suggests a current state analysis of your PII protections, drafting a data privacy policy and other steps.
(SearchDataManagement.com)

 
High availability best practices for SQL Server in the cloud

The cloud isn't immune to system failures. You can increase database uptime and prevent data losses with these high availability best practices for cloud-based SQL Server systems.
(SearchSQLServer.com)

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