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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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5 Things To Look For When Evaluating AI Startups

Crunchbase News

Bob Ma of Copec Wind Ventures AI’s eye-popping potential has given rise to numerous enterprise generative AI startups focused on applying large language model technology to the enterprise context. First, LLM technology is readily accessible via APIs from large AI research companies such as OpenAI. trillion to $4.4

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Capitalizing on Artificial Intelligence Opportunities

CIO

Artificial intelligence (AI) has become a hot topic for countries worldwide, and both public- and private-sector organizations have already started leveraging it as a response to continuous digital disruption. According to IDC’s 2022 Artificial Intelligence Spending Guide , global AI spending reached $88.6

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Capitalizing on Artificial Intelligence Opportunities

CIO

Artificial intelligence (AI) has become a hot topic for countries worldwide, and both public- and private-sector organizations have already started leveraging it as a response to continuous digital disruption. According to IDC’s 2022 Artificial Intelligence Spending Guide , global AI spending reached $88.6

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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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CIOs’ lack of success metrics dooms many AI projects

CIO

A particular concern is that many enterprises may be rushing to implement AI without properly considering who owns the data, where it resides, and who can access it through AI models,” he says. The potential cost can be huge, with some POCs costing millions of dollars, Saroff says.

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