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8 data strategy mistakes to avoid

CIO Business Intelligence

Building a successful data strategy at scale goes beyond collecting and analyzing data,” says Ryan Swann, chief data analytics officer at financial services firm Vanguard. Overlooking these data resources is a big mistake. What are the goals for leveraging unstructured data?”

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5 Applications for Corporate Text Analytics

Smart Data Collective

Text mining and text analysis are relatively recent additions to the data science world, but they already have an incredible impact on the corporate world. As businesses collect increasing amounts of often unstructured data, these techniques enable them to efficiently turn the information they store into relevant, actionable resources.

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Ideas to Get You Started with Generative AI Capabilities!

Smarten

If you are looking for ways to get started on your AI journey and take advantage of the current capabilities of this technology, here are a few ideas to get you started with AI: Unstructured Data : – Use artificial intelligence and GPT to summarize PDFs, HTML and other unstructured documents and data.

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The Madness of Data (and analytics) Governance

Andrew White

The client had recently engaged with a well-known consulting company that had recommended a large data catalog effort to collect all enterprise metadata to help identify all data and business issues. Modern data (and analytics) governance does not necessarily need: Wall-to-wall discovery of your data and metadata.

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IBM Watson and ESPN use AI to transform fantasy football data into insight

IBM Big Data Hub

To identify and distill the insights locked inside this sea of “unstructureddata, ESPN collaborated with IBM to teach Watson the language of football. To help, ESPN partnered with IBM Consulting using the IBM Garage methodology to better understand the kinds of data-driven insights fantasy players want. Not anymore.

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What is a data architect? Skills, salaries, and how to become a data framework master

CIO Business Intelligence

Information/data governance architect: These individuals establish and enforce data governance policies and procedures. Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence.

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IBM and ESPN use AI models built with watsonx to transform fantasy football data into insight

IBM Big Data Hub

” To help, ESPN partnered with IBM Consulting using the IBM Garage methodology to better understand the kinds of data-driven insights fantasy players want. The resulting insights correlate with traditional statistical data on more than 1,900 players across all 32 teams to help fantasy managers decide who to start weekly.