Thursday, June 7, 2018

How to use AI in CRM programs -- the right way; new BI tools for business users; what AI should be vs. today's reality

AI, Analytics and Big Data Digest

Artificial intelligence, BI and data management content from TechTarget | June 7, 2018

TechTarget
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Develop smart AI in CRM strategies to win and keep customers

As companies incorporate AI into their CRM programs, the trick is to engage customers with chatbots, emails, location services and other AI-driven tools without depersonalizing relationships -- and losing people's trust. Our Business Information e-zine examines how to devise smart strategies for using AI to aid CRM efforts.
(SearchDataManagement.com)

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NEWS
 
BI vendors aim to ease visual data analysis by business users

Despite the self-service BI push, enabling end users to take the lead on analyzing and visualizing data is often still a challenge -- one that vendors continue to address.
(SearchBusinessAnalytics.com)

 
Machine learning big at Stripe despite deep learning hype

Classical machine learning methods are getting overshadowed in today's AI landscape, but challenges with deep learning are keeping them relevant at payment processor Stripe.
(SearchEnterpriseAI.com)

 
Understanding data discovery tools in the enterprise

Data discovery tools, aided by an effective data discovery process, visualize and contextualize data for business users -- an essential part of informed business decision-making.
(SearchBusinessAnalytics.com)

 
Starburst seeks new worlds to conquer with SQL query engine

SQL-on-Hadoop query engines seem poised for wider growth. Startup Starburst is among those looking to take them wider still, as discussed in our Talking Data podcast.
(SearchDataManagement.com)

EXPERT ADVICE
 

AI's limits push general-purpose tools to the horizon for now

The future of AI should be focused on more general-purpose tools, but developers have a long way to go before they achieve the kind of AI that movies have taught us to expect.
(SearchEnterpriseAI.com)

 
Why Spark DataFrames, lazy evaluation outpace MapReduce

Learn how the Spark DataFrame execution plan works and why its lazy evaluation model helps the processing engine to avoid the performance issues inherent in Hadoop MapReduce.
(SearchDataManagement.com)

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