Tom Tunguz

MARCH 17, 2024

If you were to watch three videos on YouTube Shorts - one on Italian cooking, one on chess openings, & a third on crypto trading, YouTube Shorts’ recommendation algorithm combines the video descriptions with your dwell time. Watching the osso bucco video to its end would trigger more Italian cooking specialty videos in your feed. We believe every LLM-based application will need this capability.

Artificial Intelligence 235

Artificial Intelligence Machine Learning AI Engineering 235

User Pilot

MARCH 17, 2024

Are you tracking SaaS metrics without knowing how to make the analytics process easier? Analytics dashboards are visualization tools that give you an overview of key metrics. This makes it much easier to extract insights from your analysis compared to looking at mere numbers. In this article, we’ll discuss 10 analytics dashboard examples. It will give you a better understanding of the type of metrics to monitor in your dashboard and help you draw product growth insights from them.

Social Media 91

Social Media Data SaaS Scale 91

Scytale

MARCH 17, 2024

When it comes to data security and privacy compliance, businesses often have little wiggle room when it comes to adhering to the respective requirements. Similarly, when working towards a compliance framework, companies want to rest assured that they’re implementing industry-leading standards without letting any vulnerabilities or risks slip through the cracks.

Technical Review 52

Technical Review Software Review compliance Scale 52

Scytale

MARCH 17, 2024

When it comes to data security and privacy compliance, businesses often have little wiggle room when it comes to adhering to the respective requirements. Similarly, when working towards a compliance framework, companies want to rest assured that they’re implementing industry-leading standards without letting any vulnerabilities or risks slip through the cracks.

Technical Review 52

Technical Review Software Review compliance Scale 52

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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