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Sam Altman, chief executive officer of OpenAI, at the Hope Global Forums annual meeting in Atlanta, Georgia, US, on Monday, Dec. 11, 2023. 

Dustin Chambers | Bloomberg | Getty Images

DAVOS, Switzerland — The rise of generative artificial intelligence has dominated private and public discussion at the World Economic Forum as the world’s largest technology companies, including Salesforce, Microsoft and Google, temporarily take over local storefronts as a show of force to conference attendees.

While 2023 highlighted the technology’s ability, 2024 will be about increasing the accuracy of results so that executives in high-stakes industries such as hospitals and manufacturing can get comfortable using AI, said Intel Chief Executive Officer Pat Gelsinger in a CNBC interview.

“You’ve now reached the end of today’s AI utility,” Gelsinger said. “This next phase of AI, I believe, will be about building formal correctness into the underlying models.”

Whether it’s doctors relying on artificial general intelligence (AGI) for diagnoses, warehouses using it to check for assembly line malfunctions, or automated driving, humans need to get more comfortable with the accuracy of the technology, Gelsinger said.

“Certain problems are well solved today in AI, but there’s lots of problems that aren’t,” Gelsinger said. “Basic prediction, detection, visual language, those are solved problems right now. There’s a whole lot of other problems that aren’t solved. How do you prove that a large language model is actually right? There’s a lot of errors today. So you still need you know, essentially, I’m improving the productivity of a knowledge worker. But at the end of the day, I need the knowledge worker to say is it right.”

Pat Gelsinger, CEO Intel, speaking on CNBC’s Squawk Box at the WEF Annual Meeting in Davos, Switzerland on Jan. 16th, 2024.

Adam Galici | CNBC

The best way to improve accuracy is through experimentation and co-piloting tests to advance adoption, said Clara Shih, CEO of Salesforce AI. The AI can adjust to different standard deviation confidence levels as users get comfortable that the technology can be trusted in high-stakes scenarios, Shih said in an interview.

Three phases of AGI will guide adoption, Shih said. Phase one is actively using the technology as an assist for work. Phase two is consciously watching the technology in its autopilot mode to ensure accuracy. The final phase is letting go and trusting the technology will work to the confidence level of one’s choice, Shih said.

“You can tell the AI to be conservative for higher stakes until a human co-pilot essentially graduates it to autopilot,” Shih explained.

The three-phase approach, which heavily draws upon human acceptance of the reliability of the technology, should make AGI less scary than some have speculated, said Open AI CEO Sam Altman during a panel discussion Tuesday with Bloomberg’s Brad Stone.

“This is much more of a tool than I expected,” Altman said. “It’ll get better, but it’s not yet replacing jobs. It is this incredible tool for productivity. This is a tool that magnifies what humans do, lets people do their jobs better, and lets the AI do parts of jobs.”

The past year has been “a year of discovery,” said Nasdaq CEO Adena Friedman in an interview. The financial industry, including Nasdaq, will use AI to update old code to modernize aging systems, improving automated workflows which can save employees hours each day, Friedman said.

“It came onto the scene a little over a year ago,” Friedman said. “We did some experimentation. We started to kind of understand the potential of it. This year will be the year of activations for us and for everyone.”

WATCH: Nasdaq CEO Adena Friedman discusses economy, opportunities in AI at Davos

Nasdaq CEO Adena Friedman on IPO outlook: Resilience in economy is giving people confidence

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Bitcoin accelerates its slide, falling toward $90,000 to start the week

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Bitcoin accelerates its slide, falling toward ,000 to start the week

Dado Ruvic | Reuters

Bitcoin briefly dropped below the $90,000 mark on Monday, extending its slide as investors continue to dump growth oriented assets like crypto and tech stocks.

The price of the flagship cryptocurrency was last lower by 3% at $91,358.66 to start the week, according to Coin Metrics. Earlier, it fell as low as $89,259.00. Bitcoin is down 10% in the past week.

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Bitcoin extends its slide as growth-oriented assets continue to get hit

Ether lost 7% Monday and the broader crypto market, as measured by the CoinDesk 20 index, dropped more than 5%. Shares of Coinbase and MicroStrategy slid 4% and 3%, respectively. Mara Holdings declined 4% and Core Scientific retreated by 2%.

Crypto assets’ decline began last week after stronger-than-expected payroll numbers caused a spike in bond yields and amid concerns about President-elect Donald Trump’s tariff plans – both of which gave a boost to the dollar while pressuring bitcoin and other risk assets.

“The need for liquidity is caused by FX spikes because of strong end-of-year U.S. economy number, the stock market rallying strong, and there are other places money is needed in the short-term,” said James Davies, co-founder and CEO at crypto trading platform Crypto Valley Exchange. “If we want bitcoin to act like a currency, we need to accept when it does, and this is one of those times. The U.S. Dollar has gotten stronger ad everything else including bitcoin is weaker when measured in dollars.”

Investor sentiment was optimistic coming into 2025, with markets looking forward to having a pro-crypto Congress and White House. That hope had outweighed any concern about macroeconomic-related speedbumps, until last week.

Investors are now warning that the first quarter of this year could be more turbulent for crypto than previously anticipated.

Bitcoin’s price grew 120% in 2024 but is down 3% so far in the new year.

Don’t miss these cryptocurrency insights from CNBC Pro:

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New AI tool for fighting health insurance denials could save hospitals billions, and help patients

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New AI tool for fighting health insurance denials could save hospitals billions, and help patients

The Waystar team celebrates its IPO at the Nasdaq

2024 Nasdaq, Inc. / Vanja Savic

Health-care payments company Waystar on Monday announced a new generative artificial intelligence tool that can help hospitals quickly tackle one of their most costly and tedious responsibilities: fighting insurance denials. 

Hospitals and health systems spend nearly $20 billion a year trying to overturn denied claims, according to a March report from the group purchasing organization Premier. 

“We think if we can develop software that makes people’s lives better in an otherwise stressful moment of time when they’re getting health-care, then we’re doing something good,” Waystar CEO Matt Hawkins told CNBC.

Waystar’s new solution, called AltitudeCreate, uses generative AI to automatically draft appeal letters. The company said the feature could help providers drive down costs and spare them the headache of digging through complex contracts and records to put the letters together manually. 

Hawkins led Waystar through its initial public offering in June, where it raised around $1 billion. The company handled more than $1.2 trillion in gross claims volume in 2023, touching about 50% of patients in the U.S. 

Claim denials have become a hot-button issue across the nation following the deadly shooting of UnitedHealthcare CEO Brian Thompson in December. Americans flooded social media with posts about their frustrations and resentment toward the insurance industry, often sharing stories about their own negative experiences. 

Read more CNBC reporting on AI

When a patient receives medical care in the U.S., it kicks off a notoriously complex billing process. Providers like hospitals, health systems or ambulatory care facilities submit an invoice called a claim to an insurance company, and the insurer will approve or deny the claim based on whether or not it meets the company’s criteria for reimbursement. 

If a claim is denied, patients are often responsible for covering the cost out-of-pocket. More than 450 million claims are denied each year, and denial rates are rising, Waystar said. 

Providers can ask insurers to reevaluate claim denials by submitting an appeal letter, but drafting these letters is a time-consuming and expensive process that doesn’t guarantee a different outcome.

Hawkins said that while there’s been a lot of discussion around claims denials recently, AltitudeCreate has been in the works at Waystar for the last six to eight months. The company announced an AI-focused partnership with Google Cloud in May, and automating claims denials was one of the 12 use cases the companies planned to explore.

Waystar has also had a denial and appeal management software module available for several years, Hawkins added.

AltitudeCreate is one tool available within a broader suite of Waystar’s AI offerings called AltitudeAI, which the company also unveiled on Monday. AltitudeCreate rolled out to organizations that are already using Waystar’s denial and appeal management software modules earlier this month at no additional cost, the company said. 

Waystar plans to make the feature more broadly available in the future. 

“In the face of all of this administrative waste in health-care where provider organizations are understaffed and don’t have time to even follow up on a claim when it does get denied, we’re bringing software to bear that helps to automate that experience,” Hawkins said.

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AWS and General Catalyst partner to speed up development of health-care AI tools

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AWS and General Catalyst partner to speed up development of health-care AI tools

Attendees walk through an expo hall at AWS re:Invent, a conference hosted by Amazon Web Services, at the Venetian in Las Vegas on Nov. 28, 2023.

Noah Berger | Getty Images Entertainment | Getty Images

Amazon Web Services and venture capital firm General Catalyst on Monday announced a new multi-year partnership in their latest push to carve out a piece of health-care’s growing artificial intelligence market. 

Through the collaboration, General Catalyst portfolio companies will use AWS’ services to build and roll out AI tools for health systems more quickly. Aidoc, which applies AI to medical imaging, and Commure, which automates provider workflows with AI, will be the first two companies to participate.

No financial terms were disclosed in the announcement.

“Without a strong partner like Amazon and AWS to stand alongside them, to co-develop and support these companies … it’s not going to move as fast as we hope,” Chris Bischoff, head of global health-care investing at General Catalyst, told CNBC in an interview. 

Health systems are strained in the U.S., with staff burnout, growing labor shortages and razor-thin margins. These challenges often seem enticing for enterprising tech startups to tackle, especially as the multi-trillion dollar health-care industry dangles the prospect of large financial returns. 

Hospitals operate in a complex, technology-weary and highly-regulated sector that can be difficult for startups to break into. General Catalyst is hoping to help its companies fast-track the development and go-to-market process by leveraging resources like computing power from AWS.  

Read more CNBC reporting on AI

General Catalyst is no stranger to taking big swings in health-care. 

The firm has closed more than 60 digital health deals since 2020, behind only Gaingels and Alumni Ventures, according to a December report from PitchBook. Last January, General Catalyst shocked the industry by announcing that its new business, the Health Assurance Transformation Company, planned to acquire an Ohio-based health system – an unprecedented move in venture capital. 

General Catalyst’s “deep understanding” of health systems’ financial and operating realities made it an attractive partner for AWS, Dan Sheeran, AWS’ general manager of Healthcare & Life Science, told CNBC. Sheeran and Bischoff began outlining the collaboration between the two groups after meeting in London around nine months ago.   

AWS also has an established presence in the health-care sector. The company offers more health- and life-sciences-specific services than any other cloud provider, according to a release, and it inked other high-profile AI partnerships with GE HealthCare, Philips and others last year. 

The partnership between General Catalyst and AWS will stretch over several years, but new tools from Aidoc and Commure are coming in 2025. Aidoc is exploring how it can use the cloud to tap data modalities across pathology, cardiology, genomics and other molecular information, for instance. 

Aidoc and Commure were selected to kick off the collaboration because they have both established a product-market fit, are operational and are focused on issues that are a high priority for AWS customers.

“GC has spent a lot of time thinking about how health systems can transform themselves, and we recognize that it’s not going to be through 1,000 companies, and we need solutions that are really enterprise grade,” Bischoff said. “Amazon shares the same vision, so we are starting with these two.”  

Though the partnership between General Catalyst and AWS is still in its early days, the organizations said they believe it will help serve as a way to meet the market’s growing demand for new solutions. 

“Health system leaders who want to realize the benefits of AI now have an easier way to accomplish that,” Sheeran said.

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