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Barbara Corcoran almost missed out on “the best hire” she ever made — all because the prospective employee seemed too introverted.

“When I started my business [in 1973], I needed people to join my real estate company,” the millionaire investor and real estate entrepreneur said in a recent TikTok video. “But I had little to offer, and good people were really hard to get.”

In walked Esther Kaplan, who would eventually become Corcoran’s business partner and longtime president of The Corcoran Group. But at the time, Kaplan didn’t seem like the right fit for the sales position she’d applied for, Corcoran said.

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As the dawn of generative AI unfolds, a distinct separation will emerge among professionals and businesses: those who leverage this transformative technology to enhance productivity and innovation and those who lag behind.

Discover how adopting a generative AI mindset, blending adaptability, curiosity, and collaboration, is key to thriving in the rapidly evolving professional landscape,.

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Nvidia is on a tear.

But “there are no companies that are assured survival,” Huang warned Thursday at the Harvard Business Review’s Future of Business event.

Nvidia in its 30-year history has faced several existential threats, which helps explain why Huang recently told the Acquired podcast that “nobody in their right mind” would start a company. For example, it almost went bankrupt in 1995 after its first chip, the NV1, failed to attract customers. It had to lay off half its employees before the success of its third chip, the RIVA 128, saved it a few years later.

“We have the benefit of building the company from the ground up and having not-exaggerated circumstances of nearly going out of business a handful of times,” Huang said this week, as Observer reported. “We don’t have to pretend the company is always in peril. The company is always in peril, and we feel it.”

Continue reading “Nvidia CEO Jensen Huang says his AI powerhouse is ‘always in peril’ despite a

Nvidia is on a tear.

But “there are no companies that are assured survival,” Huang warned Thursday at the Harvard Business Review’s Future of Business event.

Nvidia in its 30-year history has faced several existential threats, which helps explain why Huang recently told the Acquired podcast that “nobody in their right mind” would start a company. For example, it almost went bankrupt in 1995 after its first chip, the NV1, failed to attract customers. It had to lay off half its employees before the success of its third chip, the RIVA 128, saved it a few years later.

“We have the benefit of building the company from the ground up and having not-exaggerated circumstances of nearly going out of business a handful of times,” Huang said this week, as Observer reported. “We don’t have to pretend the company is always in peril. The company is always in peril, and we feel it.”.1 trillion market cap: ‘We don’t have to pretend…we feel it’” | >

Kynikos Associates founder and legendary short seller Jim Chanos has highlighted the disparity between the public perception and actual performance of Tesla Inc. TSLA.

What Happened: In an interview with the Institute for New Economic Thinking, Chanos pointed out a common misbelief held by many Tesla admirers. He said the electric vehicle giant is seen as a multi-faceted entity — an AI firm, an alternative energy business, and a robotics organization.

This image, Chanos argues, is a result of Elon Musk’s compelling portrayal of Tesla as a future-focused company.

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Elon Musk is getting the Hollywood treatment. Variety reports that indie movie studio A24 has won the rights to adapt Walter Isaacson’s recent biography about the business magnate, with “Black Swan” and “Requiem for a Dream” director Darren Aronofsky slated to direct. There’s no official word on who’s playing Musk yet, though there’s plenty of wild suggestions online.

According to the report, studios were embroiled in “heated competition” for Isaacson’s latest book, which was released this September. The author’s last biography on a tech titan, Steve Jobs, was also adapted into a movie of the same name in 2015. Of course, the main attraction here is Musk, whose penchant for controversy is matched only by his enormous popularity.

Even so, with his calamitous takeover of X-formerly-Twitter, his questionable antics on the platform, and the epic fallout of his Starship rocket launch, Musk has somehow managed to shove himself further into the limelight this year, after a decade of building an already far-reaching image off the success of his companies SpaceX and Tesla. For better or worse, everyone now has an opinion on the guy.

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Machine learning (ML) is now mission critical in every industry. Business leaders are urging their technical teams to accelerate ML adoption across the enterprise to fuel innovation and long-term growth. But there is a disconnect between business leaders’ expectations for wide-scale ML deployment and the reality of what engineers and data scientists can actually build and deliver on time and at scale.

In a Forrester study launched today and commissioned by Capital One, the majority of business leaders expressed excitement at deploying ML across the enterprise, but data scientist team members said they didn’t yet have all the necessary tools to develop ML solutions at scale. Business leaders would love to leverage ML as a plug-and-play opportunity: “just input data into a black box and valuable learnings emerge.” The engineers who wrangle company data to build ML models know it’s far more complex than that. Data may be unstructured or poor quality, and there are compliance, regulatory, and security parameters to meet.

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01. AI’s model outperforms Meta’s Llama 2 on certain metricsStartup to offer open-source model; proprietary options laterA Chinese startup founded by computer scientist Kai-Fu Lee has become a unicorn in less than eight months on the strength of a new open-source artificial-intelligence model that outstrips Silicon Valley’s best, on at least certain metrics.

The company, 01.AI, has reached a valuation of more than $1 billion after a funding round that included Alibaba Group Holding Ltd.’s cloud unit, Lee said in an interview. The chief executive officer of venture firm Sinovation Ventures will also be CEO of the new startup. He began assembling the team for 01.AI in March and started… More.

Bloomberg connects decision makers to a dynamic network of data, delivering business and financial information, news and insights globally.

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An effective way of tackling this challenge is to find friendly partners who can help bear the burden. This means other businesses and organizations with the skills you’re missing or that specialize in the support infrastructure you need, be it in engineering, logistics, marketing or sales.

This is particularly essential when dealing with AI. It’s certainly getting easier for companies to start exploring and benefiting from AI. But fully integrating it in a business across every viable use case is still expensive, time-consuming and often dependent on the availability of highly skilled specialists.

Businesses rely on trusted networks of consultants, suppliers, and resellers to create these partnership ecosystems. Partnership working in the context of AI is going to be particularly important for small and medium sized enterprises (SMEs) that generate the majority of GDP and account for 90 percent of global business activity. Ultimately, it’s likely to be these businesses that will determine whether AI achieves its projected $4.4 trillion potential.

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CNBC’s Andrea Day joins Shep Smith to report on ‘robot nurses’ meant to give a hand to live nurses, who suffered under very difficult conditions during the pandemic. For access to live and exclusive video from CNBC subscribe to CNBC PRO: https://cnb.cx/2NGeIvi.

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Turn to CNBC TV for the latest stock market news and analysis. From market futures to live price updates CNBC is the leader in business news worldwide.

The News with Shepard Smith is CNBC’s daily news podcast providing deep, non-partisan coverage and perspective on the day’s most important stories. Available to listen by 8:30pm ET / 5:30pm PT daily beginning September 30: https://www.cnbc.com/2020/09/29/the-news-with-shepard-smith-…7Cpodcast.

Continue reading “Robot ‘nurse’ helps alleviate burnout among real nurses around the country” | >