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Generative AI – The End of Empty Textboxes

TechEmpower SaaS

On a different project, we’d just used a Large Language Model (LLM) - in this case OpenAI’s GPT - to provide users with pre-filled text boxes, with content based on choices they’d previously made. This gives Mark more control over the process, without requiring him to write much, and gives the LLM more to work with.

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Top 10 Trends for Data in 2024

Tom Tunguz

LLMs Transform the Stack : Large language models transform data in many ways. If you’re curious about the evolution of the LLM stack or the requirements to build a product with LLMs, please see Theory’s series on the topic here called From Model to Machine.

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The Five Important Trends in Data, and the One Megatrend Powering Them All

Tom Tunguz

There is a mega-trend underpinning the changes in data design philosophy and tooling: the rise of the data engineer. Data engineers are the people who move, shape, and transform data from the source to the tools that extract insight. We believe data engineers are the change agents in a decade-long process that will revolutionize data.

Trends 361
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How to Successfully Bring AI Products to Market at Scale with GitHub’s CRO

SaaStr

GitHub, founded in 2008, is a leading platform for software development and version control that has made waves since 2018 with its AI Copilot. Historically, the burden of customer feedback fell on the solutions engineers and CS architects. Be disciplined about prioritizing that feedback and communication.

Scale 261
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Scaling a SaaS Startup to $1B+ ARR: Insights from UiPath’s CEO and Founder (Podcast +Video)

SaaStr

Join us as we uncover lessons from UiPath’s success in creating a new category within RPA Enterprise Automation – Robotic Process Automation – while navigating the challenges inherent in digital transformation powered by artificial intelligence and machine learning technologies.

Scale 246
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The Convergence of Data & Software Engineering in the Age of AI

Tom Tunguz

The patois of data teams has become a dialect of modern engineering teams because the commonalities in the stack. Machine learning’s demand for data has accelerated this movement because AI needs data to function. They are central to product development & operations in technology companies.

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8 More SaaS Tools and Freebies For All Your WFH Needs

SaaStr

UruIT’s Free Machine Learning Consultation. Click here for UruIT’s Free Machine Learning Consultation – join a discovery session with our Machine LEarning engineers to identify opportunities of improvement by applying ML in your SaaS. Where can I find the deal?