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Law firm that handles data breaches was hit by data breach

TechCrunch

An international law firm that works with companies affected by security incidents has experienced its own cyberattack that exposed the sensitive health information of hundreds of thousands of data breach victims. All rights reserved. For personal use only.

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Data centers in space

CIO

Imagine a world in which data centers were deployed in space. Using a satellite networking system, data would be collected from Earth, then sent to space for processing and storage. The system would use photonics and optical technology, dramatically cutting down on power consumption and boosting data transmission speeds.

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8 data strategy mistakes to avoid

CIO

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

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FTC bans X-Mode from selling phone location data, and orders firm to delete collected data

TechCrunch

Federal Trade Commission has banned the data broker X-Mode Social from sharing or selling users’ sensitive location data, the federal regulator said Tuesday. The settlement will also require the data broker to […] © 2023 TechCrunch.

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6 Steps to More Streamlined Data Modeling

Discover a streamlined methodical approach to Apache Cassandra® data modeling. Are you a developer, database architect, or database administrator that's new to Cassandra, but been tasked with developing a plan for implementing the technology anyway? Worry no more.

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3 data security disciplines to drive AI innovation

CIO

The surging interest in implementing AI has directly increased the volume of data that organizations store across their cloud environments. Security programs need to account for the context in which AI systems are used and their impact on sensitive data exposure, effective access, and regulatory compliance.

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Salesforce Data Cloud updates aim to ease data analysis, AI app development

CIO

Salesforce is updating its Data Cloud with vector database and Einstein Copilot Search capabilities in an effort to help enterprises use unstructured data for analysis. The Einstein Trust Layer is based on a large language model (LLM) built into the platform to ensure data security and privacy.

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.

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10 Rules to More Streamlined Data Modeling

Apache Kafka is a powerful piece of software that can solve a lot of problems. Like most libraries and frameworks, you get out of it what you put into it. Learn 10 rules that will help you perfect your Kafka system to get ahead.

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Lessons Learned in PostgreSQL®

Instaclustr expert Perry Clark outlines immediate actions to minimize risks, ensuring a swift response to ransomware threats and protecting critical data assets. The guide explores troubleshooting techniques for data recovery, emphasizing essential questions to comprehend the full impact of an attack.

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Data Value Scorecard Report

This report examines the quantitative research of data leaders on data value and return on investment.

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From Hadoop to Data Lakehouse

Getting off of Hadoop is a critical objective for organizations, with data executives well aware of the significant benefits of doing so. By migrating to the data lakehouse, you can get immediate benefits from day one using Dremio’s phased migration approach.

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The Unexpected Cost of Data Copies

An organization’s data is copied for many reasons, namely ingesting datasets into data warehouses, creating performance-optimized copies, and building BI extracts for analysis. Read this whitepaper to learn: Why organizations frequently end up with unnecessary data copies.

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5 Key Elements for Building a Successful Data-Driven Product

Leading brands and local businesses alike are tapping into varied business and consumer data to power their products and meet consumers’ ever-evolving needs. But companies need to remember that a product can only be as good as the data that powers it. The criteria you should use to vet available data sources.

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4 Approaches to Data Analytics

The world of data analytics is changing fast as organizations look to gain competitive advantages through the application of timely data.