Gartner Cloud DBMS Report Names MarkLogic a Visionary

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Everything From Data Tips and NoSQL Best Practices to Industry Specific Insights

January 6, 2021
MarkLogic solves the problem by integrating multi-structured data from silos, curating that data, and making it fit-for-purpose for downstream consumption. Now, with just a few clicks, users can connect Tableau to MarkLogic and open up access to that curated data and get a more complete view of their business.
 
The California Consumer Privacy Act, (CCPA) took hold Jan. 1, giving millions of consumers new privacy rights regarding their data. This article outlines the need to respond to the regulatory challenge holistically.
 
MarkLogic CEO Gary Bloom weighs in on the reality of when and how enterprises will move to the cloud.
 
MarkLogic's David Northmore highlights the promise and power of artificial intelligence. According to Gartner, the number of organizations that deployed AI grew from 4% to 14% from 2018 to 2019. However, David cautions that the AI engine is only going to be as smart as the quality of the data put into it, and so data quality will be a primary focus for companies.
 
MarkLogic's Ken Krupa discusses the rollout of California Consumer Privacy Act (CCPA), the most comprehensive state privacy law to date. Ken notes that companies with policies that best leverage their data assets – making them accessible and compliant – will also win with customers.
 
MarkLogic's David Gorbet looks ahead at the California Consumer Privacy Act.
 
MarkLogic's David Northmore discusses the role of automation, artificial intelligence and machine learning in driving digital transformation in the insurance industry.
 
MarkLogic provides several questions that leaders should ask before deciding on open source and AI for their mission-critical initiatives.
 
Experts from MarkLogic and the Cybersecurity and Infrastructure Security Agency (CISA) discuss the need for data governance guidance.
 
Insights that can be harnessed from legacy data in the public sector and adopting a data-first approach.
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