Search Results for: compliance

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.

Opaque Systems Extends Confidential Computing to Augmented Language Model Implementations 

In this contributed article, editorial consultant Jelani Harper discusses how Opaque Systems recently unveiled Opaque Gateway, a software offering that broadens the utility of confidential computing to include augmented prompt applications of language models. One of the chief use cases of the gateway technology is to protect the data privacy, data sovereignty, and data security of organizations’ data that frequently augments language model prompts with enterprise data sources.

How Can AI-Powered Predictive Maintenance Boost Business Efficiency

In this contributed article, April Miller, senior IT and cybersecurity writer for ReHack Magazine, shows that when AI steps into predictive maintenance, it supercharges this capability. It offers more profound insights, accurate predictions and the ability to act swiftly. This blend of technology enhances operational efficiency and paves the way for a deeper exploration into how such innovations can transform the business landscape.

Heard on the Street – 4/4/2024

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.

Counteracting Financial Crimes with Generative Models 

In this contributed article, editorial consultant Jelani Harper discusses generative models, synthetic data, and combating financial crimes. Generative models are gradually reshaping the nature of financial crimes. They can help and hinder both investigators and the fraudsters perpetuating criminal activity.

Heard on the Street – 3/28/2024

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.

New Research Highlights GenAI as an Increasing Priority for Analytics Community

insightsoftware, the comprehensive provider of solutions for the Office of the CFO, released Embedded Analytics Insights for 2024, a research report in partnership with Hanover Research uncovering the embedded analytics priorities, trends, and challenges of modern developer teams.