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How Generative AI Will Turn Traditional SaaS Models On Their Head with AWS VP of Generative Builders Adam Seligman

SaaStr

Keep reading to learn what the four most common SaaS assumptions are, and watch Adam knock each one down with the power of generative AI. The good news is you have a big backlog, and the bad news is you have a big backlog. All these developers will have agents to help them write faster and faster. What’s the data model?

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Our grand experiment with GPT and generative AI

Intercom, Inc.

 In December, our Director of Machine Learning, Fergal Reid , and I sat down to chat about the launch of ChatGPT : the good, the bad, the promise, the hype. In product development, customers are always the ultimate arbiter – you may build amazing technology, but if it doesn’t solve a problem for them, it’s not worth it.

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Top Mobile Product Manager Job Roles (+Candidate Spotlight)

User Pilot

Want to advance your career in mobile product management or find top talent for your team? You will collaborate with engineering, design, and business teams to deliver cutting-edge mobile solutions that improve efficiency, user adoption , and overall product performance. Who would be a BAD fit for this job?

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How to Think of R&D Spend

Andreessen Horowitz

Most growth-stage CEOs I work with know how to tell if they’re efficiently allocating capital in every part of their budget with one glaring exception: research and development (R&D). Focus on performance management of your product and engineering teams as early indicators for what R&D investments are working, and which aren’t.

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Intercom on Product: How ChatGPT changed everything

Intercom, Inc.

a text-generating AI, and according to OpenAI , it can generate text in a dialog format, which “makes it possible to answer follow-up questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.”. We have a problem-solving programming challenge for engineers coming to Intercom.

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AI & CS: Innovate or stagnate

Totango

By prioritizing data privacy, security, and ethical practices, businesses can safely leverage AI tools to optimize processes, automate tasks, and uncover new opportunities for improving effectiveness and efficiency. So, what can CS teams do today? Let’s explore four ways AI can help address these challenges to improve CS impact.

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Tabular: Turning Your Data Swamp into a Data Lakehouse with Apache Iceberg

Clouded Judgement

The rise of foundation models and generative AI only furthers this trend. Compute engine (query engine): Performs the actual data retrieval. One of the first popular data lake engines was Apache Hive (in the Hadoop era, designed for HDFS, not necessarily object stores like S3).

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