Thursday, January 31, 2019

Tips on how to recruit data scientists; the potential advantages of graph databases; Qlik adds AI chatbot to BI tools

AI, Analytics and Big Data Digest

Artificial intelligence, BI and data management content from TechTarget | Jan. 31, 2019

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Tips on recruiting data scientists for AI and machine learning work

Mark Labbe, News Writer

When hiring data scientists, be sure to include the data science team in the interview process and help build a data-literate HR department. So says Bitly's CDO, who also sees a role for AI tools -- up to a point.
(SearchEnterpriseAI.com)

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NEWS
 
Advantages of graph databases: Easier data modeling, analytics

Graph databases are finding a place in analytics applications at organizations that need to be able to map and understand the connections in large and varied data sets.
(SearchDataManagement.com)

 
IBM Project Debater uses public input to boost its AI, NLP skills

Project Debater, an AI system to be featured at IBM Think 2019, creates viewpoints with the help of people who type in arguments on topics. That may also help drive future business uses.
(SearchEnterpriseAI.com)

 

Qlik's CrunchBot acquisition adds AI chatbot to analytics

Qlik's acquisition of CrunchBot, an AI chatbot, aims to help users of its BI software find data more easily and underscores a growing enterprise trend: conversational analytics.
(SearchBusinessAnalytics.com)

 

Future of Oracle centers on the cloud, AI and automation

2018 saw Oracle deepen its embrace of cloud computing, AI software and IT automation tools. What can Oracle users expect from it in 2019? More of the same, most likely.
(SearchOracle.com)

EXPERT ADVICE
 

5 infrastructure technologies to evaluate for data management

It's the start of a new year -- is your organization ready to face the data management challenges that lie ahead? Here are five infrastructure technologies to consider adopting.
(SearchDataManagement.com)

 

Better sentiment analysis can bolster customer data analytics

Customer data analytics are easy to gather in the social media era, but they can be misleading if they're based on sentiment analysis culled from automated social media monitoring.
(SearchBusinessAnalytics.com)

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