
Veeva to Present at Upcoming Investor Conferences
PLEASANTON, Calif., May 30, 2025 /PRNewswire/ -- Veeva Systems (NYSE: VEEV) today announced participation in the following investor conferences:
Baird 2025 Global Consumer, Technology & Services Conference, New York, NY. Paul Shawah, EVP Strategy, is presenting on Tuesday, June 3, 2025, at 10:50 a.m. Eastern Time.
William Blair 45th Annual Growth Stock Conference, Chicago, IL. Brian Van Wagener, CFO, is presenting on Wednesday, June 4, 2025, at 1:20 p.m. Central Time.
The above presentations will be webcast. Links to the live and archived webcast will be available on Veeva's investor relations website at https://ir.veeva.com.
About Veeva SystemsVeeva is the global leader in cloud software for the life sciences industry. Committed to innovation, product excellence, and customer success, Veeva serves more than 1,000 customers, ranging from the world's largest pharmaceutical companies to emerging biotechs. As a Public Benefit Corporation, Veeva is committed to balancing the interests of all stakeholders, including customers, employees, shareholders, and the industries it serves. For more information, visit veeva.com.
Veeva uses its ir.veeva.com website as a means of disclosing material non-public information, announcing upcoming investor conferences, and for complying with its disclosure obligations under Regulation FD. Accordingly, you should monitor Veeva's investor relations website in addition to following its press releases, SEC filings, and public conference calls and webcasts.
Investor Relations Contact: Gunnar HansenVeeva Systems Inc.267-460-5839ir@veeva.com
Media Contact:Maria ScurryVeeva Systems Inc.781-366-7617pr@veeva.com|
View original content:https://www.prnewswire.com/news-releases/veeva-to-present-at-upcoming-investor-conferences-302469553.html
SOURCE Veeva Systems
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
2 hours ago
- Yahoo
Burger Fuel Group Full Year 2025 Earnings: EPS: NZ$0.027 (vs NZ$0.026 in FY 2024)
Revenue: NZ$23.9m (down 8.1% from FY 2024). Net income: NZ$1.03m (down 23% from FY 2024). Profit margin: 4.3% (down from 5.1% in FY 2024). The decrease in margin was driven by lower revenue. EPS: NZ$0.027. This technology could replace computers: discover the 20 stocks are working to make quantum computing a reality. All figures shown in the chart above are for the trailing 12 month (TTM) period Burger Fuel Group's share price is broadly unchanged from a week ago. You should learn about the 1 warning sign we've spotted with Burger Fuel Group. Have feedback on this article? Concerned about the content? Get in touch with us directly. Alternatively, email editorial-team (at) article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
3 hours ago
- Yahoo
These stories could change how you feel about AI
Here's a selection of recent headlines about artificial intelligence, picked more or less at random: For some recent graduates, the AI job apocalypse may already be here Artificial intelligence threatens to raid the water reserves of Europe's driest regions Top AI CEO foresees white-collar bloodbath Okay, not exactly at random — I did look for more doomy-sounding headlines. But they weren't hard to find. That's because numerous studies indicate that negative or fear-framed coverage of AI in mainstream media tends to outnumber positive framings. And to be clear, there are good reasons for that! From disinformation to cyberwarfare to autonomous weapons to massive job loss to the actual, flat-out end of the world (shameless plug of my book here), there are a lot of things that could go very, very wrong with AI. But as in so many other areas, the emphasis on the negative in artificial intelligence risks overshadowing what could go right — both in the future as this technology continues to develop and right now. As a corrective (and maybe just to ingratiate myself to our potential future robot overlords), here's a roundup of one way in which AI is already making a positive difference in three important fields. Whenever anyone asks me about an unquestionably good use of AI, I point to one thing: AlphaFold. After all, how many other AI models have won their creators an actual Nobel Prize? AlphaFold, which was developed by the Google-owned AI company DeepMind, is an AI model that predicts the 3D structures of proteins based solely on their amino acid sequences. That's important because scientists need to predict the shape of protein to better understand how it might function and how it might be used in products like drugs. That's known as the 'protein-folding problem' — and it was a problem because while human researchers could eventually figure out the structure of a protein, it would often take them years of laborious work in the lab to do so. AlphaFold, through machine-learning methods I couldn't explain to you if I tried, can make predictions in as little as five seconds, with accuracy that is almost as good as gold-standard experimental methods. By speeding up a basic part of biomedical research, AlphaFold has already managed to meaningfully accelerate drug development in everything from Huntington's disease to antibiotic resistance. And Google DeepMind's decision last year to open source AlphaFold3, its most advanced model, for non-commercial academic use has greatly expanded the number of researchers who can take advantage of it. You wouldn't know it from watching medical dramas like The Pitt, but doctors spend a lot of time doing paperwork — two hours of it for every one hour they actually spend with a patient, by one count. Finding a way to cut down that time could free up doctors to do actual medicine and help stem the problem of burnout. That's where AI is already making a difference. As the Wall Street Journal reported this week, health care systems across the country are employing 'AI scribes' — systems that automatically capture doctor-patient discussions, update medical records, and generally automate as much as possible around the documentation of a medical interaction. In one pilot study employing AI scribes from Microsoft and a startup called Abridge, doctors cut back daily documentation time from 90 minutes to under 30 minutes. Not only do ambient-listening AI products free doctors from much of the need to make manual notes, but they can eventually connect new data from a doctor-patient interaction with existing medical records and ensure connections and insights on care don't fall between the cracks. 'I see it being able to provide insights about the patient that the human mind just can't do in a reasonable time,' Dr. Lance Owens, regional chief medical information officer at University of Michigan Health, told the Journal. A timely warning about a natural disaster can mean the difference between life and death, especially in already vulnerable poor countries. That is why Google Flood Hub is so important. An open-access, AI-driven river-flood early warning system, Flood Hub provides seven-day flood forecasts for 700 million people in 100 countries. It works by marrying a global hydrology model that can forecast river levels even in basins that lack physical flood gauges with an inundation model that converts those predicted levels into high-resolution flood maps. This allows villagers to see exactly what roads or fields might end up underwater. Flood Hub, to my mind, is one of the clearest examples of how AI can be used for good for those who need it most. Though many rich countries like the US are included in Flood Hub, they mostly already have infrastructure in place to forecast the effects of extreme weather. (Unless, of course, we cut it all from the budget.) But many poor countries lack those capabilities. AI's ability to drastically reduce the labor and cost of such forecasts has made it possible to extend those lifesaving capabilities to those who need it most. One more cool thing: The NGO GiveDirectly — which provides direct cash payments to the global poor — has experimented with using Flood Hub warnings to send families hundreds of dollars in cash aid days before an expected flood to help themselves prepare for the worst. As the threat of extreme weather grows, thanks to climate change and population movement, this is the kind of cutting-edge philanthropy. Even what seems to be the best applications for AI can come with their drawbacks. The same kind of AI technology that allows AlphaFold to help speed drug development could conceivably be used one day to more rapidly design bioweapons. AI scribes in medicine raise questions about patient confidentiality and the risk of hacking. And while it's hard to find fault in an AI system that can help warn poor people about natural disasters, the lack of access to the internet in the poorest countries can limit the value of those warnings — and there's not much AI can do to change that. But with the headlines around AI leaning so apocalyptic, it's easy to overlook the tangible benefits AI already delivers. Ultimately AI is a tool. A powerful tool, but a tool nonetheless. And like any tool, what it will do — bad and good — will be determined by how we use it. A version of this story originally appeared in the Good News newsletter. Sign up here!
Yahoo
3 hours ago
- Yahoo
Down 24%, Should You Buy the Dip on BigBear.ai?
The company's share price is down as it struggles to deliver revenue growth. The company isn't profitable despite the best efforts of multiple CEOs. The artificial intelligence analytics market is still promising. 10 stocks we like better than › Many companies that sell artificial intelligence (AI) services have seen their share price skyrocket over the past couple of years. AI data analytics company (NYSE: BBAI) has seen significant volatility, but it has also benefited from bullish market sentiment. The company's share price has surged 142% over the past 12 months, dwarfing the 11% return of the S&P 500. That said, it has also lost a lot of ground lately with a 24% decline in just the past three months. The recent dip no doubt has some investors wondering if this is a great time to buy stock or a warning sign to stay away. The company still has a lot to prove, and here are three reasons investors should leave this AI stock alone right now. Small companies that are tapping into such a fast-growing and in-demand market like AI should experience rapid sales growth. And yet BigBear managed to increase its revenue just 5% year over year to $34.8 million in the most recent quarter. Unfortunately, this appears to be a pattern for the company. Revenue was flat in 2023 and up just 2% in 2024. This year, management says sales could increase 7% (at the midpoint of its guidance). That's unimpressive growth for such a young AI company. For comparison's sake, fellow AI data analytics company Palantir Technologies grew sales 29% last year to $2.9 billion. Typically, high-growth companies experience lots of top-line expansion early on, and investors hope that momentum eventually leads to profits. But with sales growth has been missing for years. reported an adjusted EBITDA loss of $7.0 million in the first quarter, which was worse than its loss of $1.6 million in the year-ago quarter. Management said costs were primarily driven by increased research and development expenses as well as recurring selling, general, and administrative (SG&A) costs. In either case, the company can't afford to have these expenses continue to outpace sales. For investors hoping profits will soon follow the same pattern as its astronomical share price returns over the past couple of years, it's likely to be a very long wait. This may not be the typical reason investors should steer clear of a company, but it certainly raises some red flags. Leadership is crucial to a company's success, so it's worrying to see under its third CEO since it went public in 2021. The current CEO, Kevin McAleenan, has only been at the helm since January. He was the acting Secretary of the U.S. Department of Homeland Security during the first Trump administration. This government connection has some investors hoping that will be able to secure more government contracts. But what they should really be hoping for is McAleenan to stick around long enough to be able to execute a long-term vision for the company. When you add up the company's leadership changes, weak sales growth, and continued losses, it's clear to me the stock is not a buy right now. In a market full of compelling AI stocks, there simply isn't much that's appealing about a speculative bet on Before you buy stock in consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $651,049!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $828,224!* Now, it's worth noting Stock Advisor's total average return is 979% — a market-crushing outperformance compared to 171% for the S&P 500. Don't miss out on the latest top 10 list, available when you join . See the 10 stocks » *Stock Advisor returns as of May 19, 2025 Chris Neiger has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Palantir Technologies. The Motley Fool has a disclosure policy. Down 24%, Should You Buy the Dip on was originally published by The Motley Fool Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data