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

SaaStr

From its humble beginnings as a one-click dictionary solution to becoming an industry leader in RPA program development, UiPath’s story offers valuable insights for SaaS entrepreneurs looking to scale their own automation initiatives. They went to India for a few months to develop a prototype and realized this was where the market was.

Scale 246
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The Feedback Loops in Data that Will Change SaaS Architecture

Tom Tunguz

A company with this architecture will map out the customer journey sufficiently well to develop proxy metrics , leading indicators of customer behavior. A data scientist might develop a churn prediction algorithm. Data like customer contracts, contact history, event attendance, product usage. Should a sales person call them?

Data 363
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OneStream: Benchmarking the S1 Data

Clouded Judgement

With embedded applied AI and machine learning technologies built specifically for Finance, our platform automates and streamlines workflows, accelerates analysis and improves forecast accuracy, equipping the Office of the CFO to report on, predict and guide business performance.

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What Will Happen if Artificial Intelligence Breaks into Content Writing

Kraftblick

Source: blogspot.com) Due to the development of new technologies, business owners, company executives, and others responsible for writing have an opportunity to cope with these problems effectively. Today, it is possible to speed up and optimize the writing process with the help of artificial intelligence (AI).

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6 Questions Founders Should Ask Themselves to Drive Value from Generative AI with Base10 Partners

SaaStr

The number of patents filed in 2021 in Artificial Intelligence was 30x the number published six years earlier. We’re on the cusp of a golden age in AI, and the lesson learned from Cloud was that Cloud sped up the pace of development by a lot. Another way to look at this is by how much venture funding goes into the sector.

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Marketing Teams as Hedge Funds

Tom Tunguz

Marketing teams develop a portfolio of different strategies to acquire leads. Big Data, DevOps, microservices, AI, data contracts. What are LLMs? How do they differ from classic machine learning? I think of marketing teams as hedge funds. Some days, content marketing works. How can I use them?

Marketing 230