Remove Artificial Inteligence Remove Machine Learning Remove Off-The-Shelf
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Taktile makes it easier to leverage machine learning in the financial industry

TechCrunch

Meet Taktile , a new startup that is working on a machine learning platform for financial services companies. This isn’t the first company that wants to leverage machine learning for financial products. They could use that data to train new models and roll out machine learning applications.

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How AI orchestration has become more important than the models themselves

CIO

Large language models (LLMs) just keep getting better. In just about two years since OpenAI jolted the news cycle with the introduction of ChatGPT, weve already seen the launch and subsequent upgrades of dozens of competing models. From Llama3.1 to Gemini to Claude3.5 From Llama3.1 to Gemini to Claude3.5

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Banks bet on AI to deliver digital efficiencies

CIO

The Global Banking Benchmark Study 2024 , which surveyed more than 1,000 executives from the banking sector worldwide, found that almost a third (32%) of banks’ budgets for customer experience transformation is now spent on AI, machine learning, and generative AI.

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9 IT resolutions for 2025

CIO

They want to expand their use of artificial intelligence, deliver more value from those AI investments, further boost employee productivity, drive more efficiencies, improve resiliency, expand their transformation efforts, and more. CIOs are an ambitious lot. Heres what they resolve to do in the upcoming 12 months.

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Black Box Machine Learning in the Cloud

Erik Bernhardsson

There’s a bunch of companies working on machine learning as a service. Instead of the negative let’s go through the ways I think a machine learning API can actually be useful (ok full disclosure: I don’t think it’s very many). Model fitting isn’t the issue, getting to model fitting is the hard part.

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Bandit ML helps e-commerce businesses present the most effective offer to each shopper

TechCrunch

The idea, as he explained via email, is that one customer might be more excited about a $5 discount, while another might be more effectively enticed by free shipping, and a third might be completely uninterested because they just made a large purchase. The startup was part of the summer 2020 class at accelerator Y Combinator.

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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. “The major challenges we see today in the industry are that machine learning projects tend to have elongated time-to-value and very low access across an organization.