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Electric Sheep raises $21.5M to make off-the-shelf lawnmowers autonomous

TechCrunch

After making some tough internal decisions to delay launch back in 2020, the robot mower is still MIA. For those with a lot of grass and far less time, there are still a number of robotic mowers out there, on both the commercial and consumer side of the aisle. Electric Sheep Robotics’s (yeah, yeah, Philip K. Dick, et al.) has some form of lawn. $20

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Banks bet on AI to deliver digital efficiencies

CIO

In the face of shrinking budgets and rising customer expectations, banks are increasingly relying on AI, according to a recent study by consulting firm Publicis Sapiens. Around 42% percent of banks rely on personalized customer journeys to improve the customer experience.

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How AI orchestration has become more important than the models themselves

CIO

As many companies that have already adopted off-the-shelf GenAI models have found, getting these generic LLMs to work for highly specialized workflows requires a great deal of customization and integration of company-specific data. Large language models (LLMs) just keep getting better. From Llama3.1 to Gemini to Claude3.5

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5 Things To Look For When Evaluating AI Startups

Crunchbase News

LLM customization Is the startup using a mostly off-the-shelf LLM — e.g., OpenAI ’s ChatGPT — or a meaningfully customized LLM? Different ways to customize an LLM include fine-tuning an off-the-shelf model or building a custom one using an open-source LLM like Meta ’s Llama. trillion to $4.4 trillion annually.

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AI as a service to solve your business problems? Guess again

TechCrunch

Industries of all types are embracing off-the-shelf AI solutions. That’s a far cry from what most online off-the-shelf AI services offer today. Ralf Haller is the executive vice president of sales and marketing at NNAISENSE. It sounds like a great idea, but there is a caveat — “one-size-fits-all” syndrome.

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‘Just-in-time’ AI: Has its moment arrived?

CIO

Just as Japanese Kanban techniques revolutionized manufacturing several decades ago, similar “just-in-time” methods are paying dividends as companies get their feet wet with generative AI. The timeliness is critical. You don’t want to do the work too much in advance because you want that real-time context. Google has come up with a RAG service.

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CIOs’ lack of success metrics dooms many AI projects

CIO

Many organizations have launched dozens of AI proof-of-concept projects only to see a huge percentage fail, in part because CIOs don’t know whether the POCs are meeting key metrics, according to research firm IDC. The potential cost can be huge, with some POCs costing millions of dollars, Saroff says.

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