Remove Off-The-Shelf Remove Open Source Remove Software Engineering
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5 Things To Look For When Evaluating AI Startups

Crunchbase News

Roughly 75% of that value will emanate from productivity gains across customer operations, sales and marketing, software engineering, and R&D. LLM customization Is the startup using a mostly off-the-shelf LLM — e.g., OpenAI ’s ChatGPT — or a meaningfully customized LLM? trillion to $4.4 trillion annually.

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Bank of America’s big bet on AI started small

CIO

Bank of America will invest $4 billion in AI and related technology innovations this year, but the financial services giants 7-year-old homemade AI agent, Erica, remains a key ROI generator , linchpin for customer and employee experience , and source of great pride today. We are not trying to write software. Gopalkrishnan says.

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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

Netflix Tech

by David Berg , Ravi Kiran Chirravuri , Romain Cledat , Savin Goyal , Ferras Hamad , Ville Tuulos tl;dr Metaflow is now open-source! mainly because of mundane reasons related to software engineering. Get started at metaflow.org. We heard many stories about difficulties related to data access and basic data processing.

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Predibase exits stealth with a low-code platform for building AI models

TechCrunch

-based companies, 44% said that they’ve not hired enough, were too siloed off to be effective and haven’t been given clear roles. Or they can choose to use a blackbox off-the-shelf ‘AutoML’ solution that simplifies their problem at the expense of flexibility and control.”

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Your Generative AI strategy could use a startup’s touch

CIO

If your business relies heavily on software engineering, you might consider trying tools that will help support your developers with code creation, such as paired programming. Accordingly, many organizations plan to boost GenAI funding, the survey found. Use the learnings to avoid making similar missteps with GenAI.

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Why Reinvent the Wheel? The Challenges of DIY Open Source Analytics Platforms

Cloudera

In their effort to reduce their technology spend, some organizations that leverage open source projects for advanced analytics often consider either building and maintaining their own runtime with the required data processing engines or retaining older, now obsolete, versions of legacy Cloudera runtimes (CDH or HDP).

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MLOps and DevOps: Why Data Makes It Different

O'Reilly Media - Ideas

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. All ML projects are software projects.

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