Search Results for: compliance

Informatica Delivers Real Business Outcomes for General Data Protection Regulation (GDPR) with Automated Data Governance & Compliance for the Enterprise

Informatica®, the Enterprise Cloud Data Management leader accelerating data-driven digital transformation, announced Informatica Data Governance & Compliance for GDPR, the industry’s first governance solution designed specifically to support customers on their journey to GDPR compliance.

Driving High Frequency Trading and Compliance with In Memory Computing

In the video presentation below, courtesy of our friends over at GridGain, Eric Karpman shares how some of the world’s largest financial institutions use in-memory computing to address the challenges of high frequency trading.

Syncsort Simplifies Mainframe Big Data Access, Governance and Compliance in Hadoop and Spark

Syncsort, a global leader in Big Data and mainframe software, announced new capabilities in its industry leading data integration software, DMX-h, that for the first time, allow organizations to work with mainframe data in Hadoop or Spark in its native format ̶ essential for maintaining data lineage and compliance.

Big Data for Finance – Security and Regulatory Compliance Considerations

This article is the fifth and last in an editorial series that has the goal to provide direction for enterprise thought leaders on ways of leveraging big data technologies in support of analytics proficiencies designed to work more independently and effectively in today’s climate of working to increase the value of corporate data assets.

Is Generative AI Having Its Oppenheimer Moment?

In this contributed article, Manuel Sanchez, Information Security and Compliance Specialist at iManage, discusses how Generative AI – which burst into the mainstream a little over a year ago – seems to be having an Oppenheimer moment of its own.

Leveraging Big Data for Enhanced Cybersecurity Solutions

In this contributed article, Alexander Norell of VikingCloud explores how big data analytics can significantly improve cybersecurity strategies by enabling more accurate threat detection and real-time response capabilities.

The Importance of Protecting AI Models

In this contributed article, Rick Echevarria, Vice President, Security Center of Excellence, Intel, touches on the growing importance of protecting AI models and the data they contain, as this data is often sensitive, private, or regulated. Leaving AI models and their data training sets unmanaged, unmonitored, and unprotected can put an organization at significant risk of data theft, fines, and more. Additionally, poorly managed data practices could result in costly compliance violations or a data breach that must be disclosed to customers.

Heard on the Street – 4/25/2024

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

Vero AI Evaluates 10 Leading Generative AI Models Using Its Comprehensive VIOLET Framework to Gauge Responsible AI 

Vero AI, an analytical engine and scoreboard that helps enterprises fully harness the potential of advanced technology including artificial intelligence while minimizing risk, announced the findings of its inaugural “Generating Responsibility: Assessing AI Using AI” report.

Why the Modern Data Stack is Broken and How to Fix It

In this contributed article, Stavros Papadopoulos, Founder and CEO, TileDB, discusses how we are quickly reaching a threshold where the vulnerabilities of the modern data stack are starting to outweigh its advantages. Here’s what we need to do next.