Thursday, July 11, 2019

Tips on overcoming the biggest data science challenges; predictive analytics is the future of BI

AI, Analytics and Big Data Digest

Artificial intelligence, BI and data management content from TechTarget | July 11, 2019

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Experts discuss pressing data science problems and solutions

George Lawton, Contributor

Most data science projects end up facing similar problems, such as lack of robustness and data quality issues. In this feature, experts offer tips on how to overcome these challenges.
(SearchEnterpriseAI.com)

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NEWS
 

Direction of business intelligence changes to forward

IT experts say predictive analytics will be one of the key trends shaping the next generation of business intelligence platforms, as will the ability to share data.
(SearchBusinessAnalytics.com)

 
Pushing past chatbot challenges will secure their longevity

For chatbots to remain in enterprise futures, developers and data scientists need to get flexible. From open source to intelligent sharing, chatbot collaboration will boost benefits.
(SearchEnterpriseAI.com)

 

AI in digital marketing powers hidden advertisements

With AI in advertising and marketing, companies can provide potential customers with more personalized and intuitive results, while also increasing engagement rates.
(SearchBusinessAnalytics.com)

 

Snowflake product VP talks data warehouse for the cloud

In this Q&A, Christian Kleinerman, vice president of product development at cloud data warehouse vendor Snowflake, talks about the fast-moving company's plans for the next year.
(SearchDataManagement.com)

EXPERT ADVICE
 

AI and big data go perfectly together -- sometimes

The combination of big data and AI tools enables new forms of analytics and automation, but use of the technologies in enterprise applications is still evolving.
(SearchEnterpriseAI.com)

 

Container tech promises more agility for big data apps

Along with the ability to provide greater agility and flexibility for big data applications, containers can play a role in IT strategy that drives real-time decision-making.
(SearchDataManagement.com)

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