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How IBM and AWS are partnering to deliver the promise of AI for business

IBM Big Data Hub

IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data. AWS’s scalable infrastructure allows for rapid, large-scale implementation, ensuring agility and data security.

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Do I Need a Data Catalog?

erwin

A data catalog uses metadata, data that describes or summarizes data, to create an informative and searchable inventory of all data assets in an organization. Do employees understand how to handle sensitive data? Are they equipped to maintain data security and privacy? appeared first on erwin, Inc.

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OpenText Showcases how Intelligence, Integration and Automation Drive Innovation in Content Services at AIIM Conference 2019

Info Source

OpenText Content Services help organizations readily access critical business information through the delivery of “content in context” for both structured and unstructured data. Conference attendees can access demos and further information at OpenText’s booth (31 and 32) at the AIIM Conference tradeshow.

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AIIM's Information Management Training - Cost, Options, and FAQs

AIIM

It also features 23 hands-on labs, all of which are also provided as video demos in the course materials. ECM (Specialist and Master) This course focuses on management of unstructured data using content repositories. Cost: $895 for AIIM members, $995 for non-members. Cost: Master - $1600 for AIIM members, $1785 for non-members.

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The 7 most common data quality issues

Collibra

Data-driven organizations are depending on modern technologies and AI to get the most out of their data assets. But they struggle with data quality issues all the time. Incomplete or inaccurate data, security problems, hidden data – the list is endless. The most common data quality problem statements.

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Tech Tuesday: Getting Started with Classification

Everteam

Apply appropriate security controls to prevent accidental disclosure or cyberhacking. There are many examples of the benefits of classification, but I’ll provide two: The first is responding to data subject requests from privacy regulations like upcoming CCPA or GDPR. Separate the good information from the ROT.

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