privacy 
TechCrunch
NOVEMBER 28, 2023
Meta’s shiny new bid to circumvent European Union privacy rules — by offering users a false choice between paying it a hefty monthly subscription for ad-free versions of Facebook and Instagram or agreeing to give up their privacy rights in exchange for free access to its social networks, meaning they will be tracked and profiled […] (..)
TechCrunch
OCTOBER 27, 2023
Apple has fixed a years-old vulnerability in its iPhone and iPad software that undermined a privacy feature since it first debuted. Back in 2020, Apple announced a new feature in iOS 14 that would prevent nearby wireless routers and access points from gathering an Apple device’s unique MAC address.
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TechCrunch
NOVEMBER 16, 2023
In the name of transparency and accessibility, Twitch launched its new Privacy Center to educate users, after conducting “extensive research” and finding that many of its users had no idea how their personal data is collected and used.
TechCrunch
NOVEMBER 27, 2023
California’s Privacy Protection Agency (CPPA) is preparing for its next trick: Putting guardrails on AI.
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Multi-tenant architecture allows software vendors to realize tremendous efficiencies by maintaining a single application stack instead of separate database instances while meeting data privacy needs. When you use a data warehouse to power your multi-tenant analytics, the proper approach is vital.
TechCrunch
DECEMBER 5, 2023
Israeli startup Mine made a name for itself a few years ago with a tool designed for consumers to quickly run an audit of their data privacy situation. All rights reserved.
CIO
APRIL 28, 2023
More countries are adopting laws designed to protect the privacy of citizens and local entities by defining how data can be securely collected, stored, and used. Data sovereignty – data is subject to the privacy laws and governance structures within the nation or jurisdiction where data is collected, stored, processed, and used.
Speaker: Mike Cramer, Director of HIPAA & Data Security at The Word & Brown Companies
It takes an organizational mindset which realizes that data privacy and security is a continuous, evolving process, as opposed to a “fire-and-forget” set of steps. The absolute best line of defense in preventing data security and privacy incidents is the awareness and vigilance of your employees.
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When selecting data providers, companies must ensure they’re tapping into comprehensive, high-quality streams of fresh information which can be easily integrated into their products in a privacy-compliant manner. Read Data Axle’s whitepaper to learn: The 5 key components to consider when licensing data.
Speaker: Phil Irvine, VP & Director of Audience Intelligence
When you couple that with fluid data privacy changes, this creates an even fuzzier foundation to develop forward-looking marketing strategies. Whether concerned about data privacy and data management, or curious about how businesses can rethink approaches to designing shopping experiences, the answers are here.
Advertiser: Data Robot
AI ethics, including privacy, bias and fairness, and explainability. We also look closely at other areas related to trust, including: AI performance, including accuracy, speed, and stability. AI operations, including compliance, security, and governance. How MLOps helps bridge the production gap between systems and teams.
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. Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications.
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