Data analytics

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Free Guide: 5 Data Science Tools to Consider

With the right data science tools, you can gain powerful insight out of the ever-growing pools of corporate data. Learn why data science experts are using Python, R, Jupyter Notebook, Tableau, and Keras.

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Data analytics News

June 21, 2019 21 Jun'19
MicroStrategy product development advances after Voice.com sale

Analytics and BI vendor MicroStrategy sells the Voice.com domain name and moves forward with product R&D in a competitive market that is consolidating quickly.
June 06, 2019 06 Jun'19
Google acquisition of Looker to boost Google Cloud analytics

By acquiring Looker, Google will enhance its analytics and BI capabilities available through Google Cloud, while becoming a formidable force in the enterprise-level BI space.
May 31, 2019 31 May'19
MapR's future in jeopardy, layoffs loom

It's right there in a MapR letter to California's labor department: A leader in the Hadoop market is desperately seeking funding after poor sales of its promising data platform.
May 20, 2019 20 May'19
Abbyy TimelinePI acquisition boosts process intelligence

With its acquisition of process intelligence software startup TimelinePI, document capture vendor Abbyy streamlines its content analysis and NLP capabilities.

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Data analytics Get Started

Bring yourself up to speed with our introductory content

Computer vision AI looks beyond the narrow into the mainstream

This handbook looks at computer vision in the enterprise, with examples of business applications and advice on deploying systems that incorporate the AI technology. Continue Reading
natural language processing (NLP)

Natural language processing (NLP) is the ability of a computer program to understand human language as it is spoken. Continue Reading
Advice on enterprise data cleansing from an SAP VP

SAP's Kristin McMahon details data cleansing best practices and explains why a good data cleanse needs continual communication, collaboration and oversight. Continue Reading

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Evaluate Data analytics Vendors & Products

Weigh the pros and cons of technologies, products and projects you are considering.

Microservices and big data start to get closer

Microservices are riding a wave of user interest, leading to changes in IT operations. ThoughtWorks expert Zhamak Dehghani discusses what that means for big data. Continue Reading
DroneBase uses analytics-powered freelance payment system from Qwil

DroneBase uses Qwil, vendor of an analytics-based payroll and payments system, to automatically manage and pay the freelance drone pilots who use the DroneBase platform. Continue Reading
Inside view of Tibco integration architecture planning

Tibco's acquisitions of well-regarded, small software specialists such as SnappyData are part of a drive toward what it calls 'connected intelligence.' CTO Nelson Petracek provides background. Continue Reading

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Manage Data analytics

Learn to apply best practices and optimize your operations.

Social media analytics applications live and die by the data

This handbook provides insight and advice on how to use analytics to get information on customer sentiment and marketing opportunities from sets of social media data. Continue Reading
Social media analytics best practices tempered by privacy laws

Social media provides a fertile landscape of information and insight into consumer behavior, but collecting and analyzing that data carries all sorts of privacy pitfalls. Continue Reading
Timeline of AI winters casts a shadow over today's applications

Past generations have had to deal with rounds of inflated expectations and crushing disappointment when it comes to AI. This timeline charts the history of AI's rises and falls. Continue Reading

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Problem Solve Data analytics Issues

We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.

March Madness analytics, AI help data scientist fill bracket

To create his March Madness bracket predictions, the head of data science at DataRobot uses a host of machine learning algorithms and some predictive analytics. Continue Reading
What data management challenges do analytics programs face?

Expert Anne Marie Smith shares five reasons why organizations' analytics programs might fail and how a data management framework and other programs can help. Continue Reading
Convert unstructured data to structured data with machine learning

With access to powerful compute power and advances in machine learning, unstructured data is becoming easier and cheaper for businesses to turn into usable sources of insight. Continue Reading

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