Remove category data-governance
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How to Accelerate Production Deployment and Embed Trustworthy AI into Commercial Solutions with IBM Embeddable AI Leader George Kreitler

SaaStr

A lot of folks are skeptical about AI and what it’ll do as far as displacing workers, how decisions that are AI-driven will be made, and how we know the data underlying those decisions. You also need data for success. With long-term success comes some approach towards governance, which includes data and AI governance.

AI 229
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The Web3 Marketing Stack: The Next Big Wave in Crypto

Tom Tunguz

There’s no bridge between web2 & web3 data, yet. The behavioral patterns in web3 differ driven by anonymity, communication patterns on discord and telegram, and the consequences of using tokens as user acquisition, as governance votes, and currency. These ad networks’ will use public wallet information to target users.

Marketing 350
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The Startup Sectors Most Impacted by the Coronavirus

Tom Tunguz

Over the weekend, I analyzed Roger’s data to answer this question. However, there doesn’t yet seem to be a daily or weekly increase in the data. If we tally the reductions by category, travel, retail, fitness, real estate, transportation, and recruiting constitute the top 6 categories.

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Top 10 Posts of 2023

Tom Tunguz

Much like mobile technology became a de facto part of every startup, AI is now no longer a category but the core or a component of every product. The Paradox of AI and Data Roles: How Automation Will Increase Demand for Data Professionals. Why Every Startup Needs an AI Strategy. ChatGPT & AI upended the ecosystem.

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My Mental Model for the World of Crypto

Tom Tunguz

There are six key categories of players. Tokens might be used as stores of equity value, as a replacement for government money, to pay for a particular service, or simply as as collectible. Software spans many categories. There is also a category called oracles which provide API endpoints to supply smart contracts with data.

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Breaking Down the EU’s AI Act: The First Regulation on AI

Scytale

Minimal Risk (MR): This category includes most AI systems like spam filters or video game bots. They face stricter regulations like risk assessments, high-quality data reviews to reduce bias when testing, activity logs, documentation, user information, and human oversight. data poisoning) or trained models (e.g.,

AI 52
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The CCPA Compliance Checklist: Ensuring Data Protection and Privacy

Scytale

The CCPA sets strict standards for data compliance , collection, storage, and sharing, to protect consumers’ personal information. Understanding the CCPA The California Consumer Privacy Act (CCPA) is a data privacy law that gives California residents more control over their personal information.