20VC: Did Figma Kill M&A Markets in 2024, The Three Biggest Mistakes Made in Growth Investing, The Three Requirements Companies Need to Go Public in 2024 with Ed Sim and Jamin Ball
The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
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The Importance of Data Strategy and AI Security
The future of tech is heavily reliant on companies having a solid data strategy in place to drive their AI initiatives. Without a robust data house, the practical adoption of AI technologies becomes challenging. The emergence of data businesses and platforms is imminent. Companies focusing on building data lake house solutions and employing Apache Iceberg are anticipated to play a pivotal role. Additionally, the need for AI security in the enterprise space is crucial. Concepts such as ML sec ops and ML bombs, which involve securing data, models, and software, are gaining prominence. The rise of AI security companies, including Protect AI, indicates a shift in the industry towards prioritizing AI security as a customer demand.
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