Connect with us

Published

on

The Cleveland Clinic in Cleveland, Ohio, U.S., on Saturday, Nov. 14, 2020. On Sunday, the Ohio Department of Health reported a total of 298,096 cases in Ohio since the pandemic began, leading to 5,722 deaths and 22,265 hospitalizations. Photographer: Dustin Franz/Bloomberg via Getty Images

Bloomberg | Bloomberg | Getty Images

Earlier this spring, the emergency department at the Cleveland Clinic told Dr. Rita Pappas it had a problem. 

The Cleveland Clinic is the largest hospital system in Ohio, but after an influx of patients came in, the emergency department did not believe it could accommodate all the people who would need care. 

Pappas, the Cleveland Clinic’s medical director for the admission and transfer center, disagreed. 

The Cleveland Clinic was in the midst of trying new AI-powered software from Palantir. The system was predicting that there would be a large number of discharges that day, meaning there would be enough space for all the incoming patients. 

Pappas and her team convinced the emergency department to give Palantir’s platform a chance, and — to her relief — the new system worked. 

“It was perfect. We were able to accommodate all the patients, and so everyone was cheering, they were so happy,” Pappas, who also practices clinically as a pediatric hospitalist, told CNBC in an interview. “Everyone got really excited. I was very excited because I do not want to have the emergency department yelling at me.”

Ordinarily, Pappas said managing patient flow in a similar scenario would require constant communication, every hour throughout the night. But by accurately predicting patient discharges, Palantir’s system saved Pappas, her team and the emergency department a lot of time and effort.

Palantir partnered with two health-care systems, Cleveland Clinic and Tampa General Hospital in Florida, during the summer of 2021 to develop software called Palantir for Hospital Operations. Now, just two years later, the company says its hospital-operations platform accounts for around 10% of its commercial revenue in the U.S.

The software translates complex data into digestible information that health-care workers can use to guide their decision-making and resource allocation. It can be used to generate real-time and predictive insights into areas like staffing, wait times and hospital-bed assignments.

Shyam Sankar, the company’s chief technology officer, said he thinks Palantir for Hospital Operations is just getting started. 

“I’m so excited that we’re at 13% of beds in the U.S., but you know, like 90% of the work is in front of us here,” Sankar told CNBC in an interview. 

A race against the clock

Palantir specializes in data analytics, and shares of the company are up around 150% so far this year as bullish AI investors are buying into its tech offerings. The company reported its first quarterly net profit for Q4 2022, and Palantir CEO Alex Karp said in a May letter to shareholders that the company expects to remain profitable “each quarter through the end of the year,” and that demand for its new Artificial Intelligence Platform (AIP) is “without precedent.”

The company is perhaps best known for its work with the U.S. government’s defense and intelligence agencies, but despite its high-profile customers in government, Sankar said Palantir works to tackle hard challenges across a variety of industries, including health care — a field that experts widely believe is in crisis. 

Hospital360 within Palantir for Hospital Operations

Palantir

Nurses and physicians are experiencing high levels of burnout, and staffing shortages across the country have made it difficult for hospital systems to keep up with patient demand. These challenges were magnified by the Covid pandemic, as nearly 63% of physicians reported symptoms of burnout in 2021, up from 38% the prior year, according to a recent study co-authored by the American Medical Association.

Companies across the medical and technology fields have been working to build solutions that could bring health-care workers some relief. But unless the new platforms, tools and services can be easily integrated into workflows, physicians and nurses often find they can be more trouble than they’re worth. 

“If you don’t build it in the workflow of the user, it actually doesn’t get used, it just sits on the shelf,” Dr. Peggy Duggan, executive vice president and chief medical officer of Tampa General, told CNBC in an interview.  

As such, in the summer of 2021, a team of four Palantir employees set out to create a meaningful solution that health-care workers at Cleveland Clinic and Tampa General could actually use. It was a daunting challenge, and there was an additional catch: They were only given a matter of weeks to build something worthwhile.

Drew Goldstein and Jeremy David, co-heads of health care at Palantir

Courtesy: Palantir

Drew Goldstein and Jeremy David led Palantir’s team of four, and they now run its fast-growing U.S. commercial health-care team. The pair said they were given around 12 weeks to build a solution for Tampa General, and their work in Florida was already underway when the Cleveland Clinic’s chief information officer called to give them an even shorter timeline: eight weeks. 

“For better or for worse, I’m quite hopeful and optimistic,” David said in an interview with CNBC. “I was like, ‘Eight weeks? We can get something live in three.'” 

David, Goldstein and their two teammates took an intense, hands-on approach to building their hospital-operations software. 

They spent their allotted time on the ground in the hospitals in both Ohio and Florida, shadowing doctors and nurses during their shifts, even overnight. They asked questions about existing workflows and tried to grasp the biggest pain points for each organization, an experience Goldstein said was both “overwhelming” and “exciting.” 

To their surprise, the Palantir team learned that hospital staff were carrying out some of their operations by manually entering data into spreadsheets and configuring information like scheduling on paper and whiteboards. 

The Palantir team also became acquainted with whiteboards, as Goldstein said much of their early efforts in Ohio were spent trying to draw out existing workflows with hospital-operations leadership. 

“It was so foundational in our understanding of what these problems could look like,” Goldstein told CNBC in an interview.

At the Cleveland Clinic, the Palantir team initially focused on addressing challenges related to patient flow, particularly around accelerating aspects of the patient-discharge process, while they trained their focus on clinical-staffing allocation at Tampa General. But before long, Goldstein said it became clear the health systems shared both of those problems.  

“So then, instead of just building these completely separately, we started to think about, like, what should the product look like to be able to solve this?” Goldstein said.

When their work was done in Florida and Ohio, Palantir’s team had what amounted to an early iteration of Palantir for Hospital Operations. David said it was the product of several 100-hour weeks where he and Goldstein, who have become good friends, often lived in adjoining hotel rooms. 

“Drew didn’t like that,” David joked. “[I’d] knock on his door, ‘Good morning, Sunshine!'” 

David said the team’s hands-on approach was essential in order to understand what support health-care workers truly needed. 

“If you treat the nurses and patients like widgets, you’re going to lose,” David said. “For about two weeks, we tried to treat them like widgets, and we lost.”

The group presented their work to hospital leadership through a series of demos and testimonials, and David said it was clear the health systems believed Palantir had created something special. 

Their next challenge, Goldstein said, was to keep building and execute on a broader, longer-term vision. 

A new tool for hospital staff: ‘They love it’

The Cleveland Clinic officially launched Palantir’s platform in March. 

Pappas said the hospital system had considered working with other companies, but that the Palantir team stood out because they truly listened to the staff’s needs. 

She said the Cleveland Clinic wanted help building a system that could optimize the number of patients staff could see, while also ensuring that they were all being cared for safely. Pappas said Palantir’s engineers not only took their concerns seriously but got psyched when they were able to build successful solutions.

“It sounds silly, but everyone had this, ‘Oh, we did it!’ moment,” she said. 

As the medical director for the admission and transfer center, Pappas works with a bed-management team to place patients throughout the hospital. Prior to using Palantir’s platform, they relied on Microsoft Teams and Excel spreadsheets to carry out their operations. 

Now, Pappas said they have easy access to both real-time and predictive insights on the number of patients coming into the hospital’s operating rooms, emergency department and as direct admissions, which are patients who receive treatments like chemotherapy. 

“The system is actually learning and taking information, and it’s very accurate,” she said. “It serves as a command center so that we can see very clearly how many patients we are going to be caring for every day.”

Since the official launch of Palantir’s software on March 1, the Cleveland Clinic main campus has been able to accept an 8% increase in patient transfers from other hospitals. 

In fact, Palantir’s system proved to be so useful that Pappas said some members of her team expressed fear that they were going to be replaced by it. Once she reassured them that the platform is just meant to serve as a tool, she said they’ve grown to love it. 

“They’ve developed a trust in the system,” Pappas said. “People in health care are kind of conservative, you know, don’t like change, and so the fact that they trusted and are using it now really just says to us that it’s a successful venture for us.”

Schedule review within Palantir for Hospital Operations

Palantir

Duggan said staff at Tampa General, particularly nurses, are also very fond of Palantir’s technology. She acknowledged that it is still the “early days” of the partnership, but the software company passed its first test by building a staffing model that nursing managers can use to find team members who are available for shifts. Duggan said this process is often conducted manually, so automating it has saved Tampa General’s staff significant time and energy. 

“The nurse leaders love it,” she said. “It’s right in their workflow; it makes their day easier and they love it. They love all that technology support.” 

Duggan said once the Palantir team managed to solve the staffing problem, it was clear the company would be able to use its software to tackle challenges across several different areas of the hospital. Palantir is now working on a series of projects at Tampa General, and Duggan said she is particularly impressed by how it is helping clinicians handle cases of sepsis, the No. 1 killer in hospitals nationwide. 

Sepsis occurs when a patient’s body has an extreme response to an infection. Once diagnosed, Duggan said patients have to stay on a pathway of treatment over the next few days in order to increase chances of survival. 

Palantir built a monitoring system for the sepsis pathway at Tampa General, which helps the clinicians ensure the patients are getting the care they need. She said it can also help provide insights as to why a patient might not have received antibiotics, for instance. 

Duggan said it is new but exciting territory, and it has allowed Tampa General to identify variability in some of its most important work.   

“Our work in sepsis definitely has decreased early mortality by about half, and so that’s real lifesaving,” she said. “I tell people that it’s people’s mothers, sisters, cousins, right? That’s real lifesaving for sure.”

Meanwhile, Palantir’s commercial health-care team has ballooned from four employees to more than 50, and Goldstein said the rapid growth has been unexpectedly challenging to learn to manage. 

But as they plan to partner with more health systems, expand their own team and continue to refine their technology in the years ahead, David said the potential for innovation makes for a truly exciting time. 

“I think we really solved this core problem, where it’s like, OK, a health system actually can deploy this really transformative platform technology to the front lines of health care,” he said. “There’s this old trope that’s like banks and hospitals don’t adopt technology — that is definitively not true anymore.”

Continue Reading

Technology

Chegg sues Google for hurting traffic with AI as it considers strategic alternatives

Published

on

By

Chegg sues Google for hurting traffic with AI as it considers strategic alternatives

Chegg seen at the New York Stock Exchange on Feb. 13, 2025. 

Danielle DeVries | CNBC

Chegg on Monday filed suit in federal district court against Google, claiming that artificial intelligence summaries of search results have hurt the online education company’s traffic and revenue.

The legal move come nearly two years after former CEO Dan Rosensweig said students engaging with OpenAI’s ChatGPT assistant were cutting into Chegg’s new customer growth.

Chegg is worth less than $200 million, and in after-hours trading Monday, the stock was trading just above $1 per share. Chegg has engaged Goldman Sachs and will look at strategic options, including getting acquired and going private, President and CEO Nathan Schultz told analysts on a Monday earnings call.

Chegg reported a $6.1 million net loss on $143.5 million in fourth-quarter revenue, a 24% decline year over year, according to a statement. Analysts polled by LSEG had expected $142.1 million in revenue. Management called for first-quarter revenue between $114 million and $116 million, but analysts had been targeting $138.1 million. The stock was down 23% in extended trading.

Google forces companies like Chegg to “supply our proprietary content in order to be included in Google’s search function,” said Schultz, adding that the search company uses its monopoly power, “reaping the financial benefits of Chegg’s content without having to spend a dime.”

Despite the suit, Chegg has its own AI strategy. It has drawn on Meta’s open-source Llama, as well as models from privately held Anthropic and Mistral, Schultz said. Chegg has also partnered with OpenAI, which the education company views as a competitor, alongside Google. The company reported that 3.6 million students had subscriptions in the fourth quarter, down 21%. Subscriptions include access to AI-powered learning assistance. Chegg also rents and sells textbooks.

AI Overviews, as Google’s artificial intelligence summaries are called, are available in the company’s search engine in over 100 countries, with more than 1 billion users, the company said in October. They show up above links to other pages in search results.

A Google spokesperson told CNBC that the company will defend itself against Chegg’s suit.

“Every day, Google sends billions of clicks to sites across the web, and AI Overviews send traffic to a greater diversity of sites,” the Google spokesperson said.

Chegg claimed that Google drew on Chegg’s collection of 135 million questions and answers on a variety of subjects in its model training data sets.

After training its models, Google can generate content that competes with information that publishers have on offer in search results, Chegg argued in its complaint. The online learning company included a screenshot of a Google AI Overview that borrows details from Chegg’s website but does not attribute the information. However, the relevant Chegg page does show up lower down in search results.

Chegg cited a federal judge’s ruling last August that Google holds a monopoly in the search market. The decision came after the Department of Justice in 2020 filed its landmark case, alleging that Google controlled the general search market by creating strong barriers to entry and a feedback loop that sustained its dominance.

WATCH: Google unrolls AI Overviews in six more countries

Google unrolls AI Overviews in six more countries

Continue Reading

Technology

Hims & Hers shares tumble after company misses on margin, says may stop selling some weight loss drugs

Published

on

By

Hims & Hers shares tumble after company misses on margin, says may stop selling some weight loss drugs

Hims & Hers Health shares plunged 18% in extended trading on Monday after investors looked past better-than-expected revenue and earnings and focused instead on the disappointing gross margin.

Here’s how the company did, compared to analysts’ consensus estimates from LSEG:

  • Earnings per share: 11 cents vs. 10 cents expected
  • Revenue: $481 million vs. $470 million expected

Revenue at the telehealth company increased 95% in the fourth quarter from $246.6 million during the same period last year, according to a release.

However, the company’s gross margin, or the profit left after accounting for the cost of goods sold, was 77%, while analysts polled by StreetAccount were expecting 78.4%.

It is the second big stock drop for Hims & Hers in a matter of days. The shares tumbled 26% on Friday after the U.S. Food and Drug Administration announced that the shortage of semaglutide injection products has been resolved.

In May, Hims & Hers started prescribing compounded semaglutide, the active ingredient in Novo Nordisk‘s blockbuster GLP-1 medications Ozempic and Wegovy. The company was a breakout star within the digital health sector in 2024, in part because of the success of its popular new weight loss offering.

The company said its GLP-1 offering generated more than $225 million in revenue in 2024. The stock climbed about 200% for the year.

Compounded drugs are custom-made alternatives to brand-name drugs designed to meet a specific patient’s needs, and compounders are allowed to produce them when brand-name treatments are in shortage. The FDA said Friday that it will start taking action against compounders for violations in the next 60 to 90 days.

Hims & Hers said on the earnings call that as a result, compounded semaglutide will likely not be offered on the platform after the first quarter.

“We will have to start notifying customers in the coming month or two that they will need to start looking for alternative options on the commercial dosing,” Hims & Hers CEO Andrew Dudum said on the call. “I would suspect, just being very direct, that a lot of those patients will try to go into the open market and try to secure a branded option in some form factor.”

Some patients might still be able to access compounded semaglutide if it is clinically necessary, the company added.

The company’s weight loss offerings will primarily be composed of its oral medications and the generic medication liraglutide, which it plans to introduce on its platform this year. Excluding contributions from compounded semaglutide, Hims & Hers said it expects it weight loss offering will generate at least $725 million in revenue in 2025.

Hims & Hers also offers treatments for skin care, mental health, sexual health and hair care.

Revenue for non-GLP-1 products increased 43% to $1.2 billion for the full year, “meeting our previous 2025 revenue target a year early,” Chief Financial Officer Yemi Okupe said in a release.

“The success we are experiencing is a direct reflection of our improving ability to democratize access to high quality, personalized care across each of our specialties,” Okupe said.

Net income climbed to $26.01 million, or 11 cents per share, from $1.25 million, or 1 cent per share, a year prior. The company reported adjusted earnings of $54.1 million, meeting analysts’ estimates, according to StreetAccount.

For the first quarter, Hims & Hers expects to report revenue of $520 million to $540 million, while analysts were expecting $497 million. Adjusted earnings will be between $55 million and $65 million for the period, the company said.  

Hims & Hers will host its quarterly call with investors at 5:00 p.m. ET.

— CNBC’s Brandon Gomez contributed to this report.

Continue Reading

Technology

How AI is speeding the mining of valuable metals needed to power the clean economy

Published

on

By

How AI is speeding the mining of valuable metals needed to power the clean economy

As the clean energy economy expands, finding the minerals and metals that power it becomes increasingly critical. The answer might lie with artificial intelligence.

Electric cars, solar panels and hydrogen fuel cells all have one thing in common: the need for precious metals.

Historically, that’s required going through the arduous process of finding the metals and then getting them out of the ground. But new technologies from a slew of companies might be changing the game.

Kobold Metals, VerAI and a startup called Earth AI are in a race to get the metals to market as soon as possible. Earth AI combines AI-powered mineral discovery software with proprietary drilling technology. Its data goes back 50 years.

“We train our AI to learn from failures and successes of decades of hundreds of geologists that explored in the past to make much better predictions for where to look for metals in the future,” said Roman Teslyuk, CEO of Earth AI.

When the system finds what it thinks are metal deposits, Earth AI can drill down to verify it in just a tennis ball-sized hole. Teslyuk said that using this mining process takes half the cost and a fraction of the amount of time that was previously required. Individual annual mine revenues can range from $50 million to $3 billion, according to Mining Data Online.

“We drill down to 2,000 feet and grab a sample of rock that has never seen light, and the metals in that rock, they can build hundreds of millions of electric cars,” Teslyuk said. “They can turn our grid renewable. This rock can get us off hydrocarbons.”

Earth AI doesn’t explore around existing mines, but finds new areas and then sells that information to mining companies.

“The market for these minerals is massive,” said Jamie Lee, managing partner at Tamarack Global, an investor in Earth AI. “The way that they have approached this really caught our attention because there’s a there is a significant moat in their business model and the way that they’ve trained their large language model.”

Other investors include Y Combinator, Cantos Ventures, Scrum Ventures, Alpaca, Sparkwave Capital and Overmatch. The company has raised a total of $38 million.

Earth AI explores on its own, as well as with partners to find deposits faster. The company recently discovered one of the largest verified deposits of palladium in Australia using AI as part of a joint venture with Legacy Minerals.

CNBC Producer Lisa Rizzolo contributed to this piece.

Continue Reading

Trending