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Information Analysis Holds Annual Meeting with Positive Voting ResultsSEATTLE--(BUSINESS WIRE)--Dec 20, 2024-- PitchBook , the premiere data provider for the private and public equity markets, has released a set of 2025 Outlooks exploring the investment trends analysts expect to see driving activity in the coming year. Spanning venture capital, private equity, healthcare, and key technology sectors, these eight reports feature over 40 outlooks from PitchBook’s global research team, marking the most extensive forecast to date. Following a year faced with economic uncertainty and geopolitical tensions, investors are looking ahead to 2025 with hopes of strong valuations and a potential IPO market rebound. PitchBook analysts are cautiously optimistic about several key sectors in the coming year, predicting a notable improvement in the VC market in particular. See below for a complete list of PitchBook’s 2025 Outlooks. Download the full reports to see analysts’ predictions backed by in-depth data and rationale. “The breadth and depth of our 2025 Outlooks reflect not only the continued growth of PitchBook’s research and analyst team but also our commitment to delivering actionable insights into the dynamic trends shaping the private markets,” said Nizar Tarhuni, Executive Vice President of Research & Market Intelligence at PitchBook. “As investors look to navigate economic uncertainty and seize emerging opportunities across sectors, our comprehensive, data-driven forecasts empower them to make informed decisions with confidence.” PitchBook’s Institutional Research Group is composed of more than 60 analysts providing timely institutional-grade research across asset classes, established industries and emerging technologies. The team’s coverage spans private equity, venture capital, real assets, leveraged loans, high-yield bonds and private credit. The base of this research is PitchBook’s proprietary datasets, which are vetted and curated to provide market-leading insights and analysis. For more information on PitchBook, click here . About PitchBook PitchBook is a financial data and software company that provides transparency into the capital markets to help professionals discover and execute opportunities with confidence, and efficiency. PitchBook collects and analyzes detailed data on the entire venture capital, private equity, and M&A landscape—including public and private companies, investors, funds, investments, exits, and people. The company’s data and analysis are available through the PitchBook Platform, industry news, and in-depth reports. Founded in 2007, PitchBook operates globally with more than 3,000 team members. Its platform, data, and research serve over 100,000 professionals around the world. In 2016, Morningstar acquired PitchBook, which now operates as an independent subsidiary. View source version on businesswire.com : https://www.businesswire.com/news/home/20241220928667/en/ PR@pitchbook.com KEYWORD: WASHINGTON UNITED STATES NORTH AMERICA INDUSTRY KEYWORD: DATA MANAGEMENT BANKING TECHNOLOGY PROFESSIONAL SERVICES HEALTH HEALTH TECHNOLOGY ASSET MANAGEMENT DATA ANALYTICS SOFTWARE FINTECH FOOD TECH SOURCE: PitchBook Copyright Business Wire 2024. PUB: 12/20/2024 01:45 PM/DISC: 12/20/2024 01:45 PM http://www.businesswire.com/news/home/20241220928667/en
Bloomberg's Anurag Rana [left] talks with Anthropic's Michael Gerstenhaber [center] and Scale AI's Vijay Karunamurthy, during Bloomberg Intelligence's conference on "Gen AI: Can it deliver on the productivity promise?" Large language models and other forms of generative artificial intelligence are improving steadily at "self-correction," opening up the possibilities for new kinds of work they can do, including " agentic AI ," according to the vice president of Anthropic, a leading vendor of AI models. "It's getting very good at self-correction, self-reasoning," said Michael Gerstenhaber, head of API technologies at Anthropic, which makes the Claude family of LLMs that compete with OpenAI's GPT. "Every couple of months we've come out with a new model that has extended what LLMs can do," said Gerstenhaber during an interview Wednesday in New York with Bloomberg Intelligence's Anurag Rana. "The most interesting thing about this industry is that new use cases are unlocked with every model revision." Also: Anthropic's latest AI model can use a computer just like you - mistakes and all The most recent models include task planning, such as how to carry out tasks on a computer as a person would ; for example, ordering pizza online. "Planning interstitial steps is something that wasn't possible yesterday that is possible today," said Gerstenhaber of such step-by-step task completion. The discussion, which also included Vijay Karunamurthy, chief technologist of AI startup Scale AI, was part of a daylong conference hosted by Bloomberg Intelligence to explore the topic, " Gen AI: Can it deliver on the productivity promise?" Gerstenhaber's remarks fly in the face of arguments from AI skeptics that Gen AI, and the rest of AI more broadly, is "hitting a wall," meaning that the return from each new model generation is getting less and less. AI scholar Gary Marcus warned in 2022 that simply making AI models with more and more parameters would not yield improvements equal to the increase in size. Marcus has continued to reiterate that warning . Anthropic, said Gerstenhaber, has been pushing at what can be measured by current AI benchmarks. Also: Anthropic brings Tool Use for Claude out of beta, promising sophisticated assistants "Even if it looks like it's tapering off in some ways, that's because we're enabling entirely new classes [of functionality], but we've saturated the benchmarks, and the ability to do older tasks," said Gerstenhaber. In other words, it gets harder to measure what current Gen AI models can do. Both Gerstenhaber and Scale AI's Karunamurthy made the case that "scaling" Gen AI -- making AI models bigger -- is helping to advance such self-correcting neural networks. "We are definitely seeing more and more scaling of the intelligence," said Gerstenhaber. "One of the reasons we don't necessarily think that we're hitting a wall with planning and reasoning is that we're just learning right now what are the ways in which planning and reasoning tasks need to be structured so that the models can adapt to a wide variety of new environments they haven't tried to pass." "We're very much in the early days," said Gerstenhaber. "We're learning from application developers what they're trying to do, and what it [the language model] does poorly, and we can integrate that into the LM." Also: The best AI chatbots: ChatGPT, Copilot, and worthy alternatives Some of that discovery, said Gerstenhaber, has to do with the speed of fundamental research at Anthropic. However, some of it has to do with learning by hearing "what industry is telling us they need from us, and our ability to adapt to that -- we are very much learning in real time." Customers tend to start with big models and then sometimes down-size to simpler AI models to fit a purpose, said Scale AI's Karunamurthy. "It's very clear that first they think about whether or not an AI is intelligent enough to do a test well at all, then, whether it's fast enough to meet their needs in the application and then as cheap as possible." Google's new AI tool could be your new favorite learning aid - and it's free The best open-source AI models: All your free-to-use options explained I changed 5 ChatGPT settings and instantly became more productive - here's how The best AI search engines of 2024: Google, Perplexity, and more
MILAN (AP) — Milan’s storied Teatro alla Scala presented Giuseppe Verdi’s “La Forza del Destino” for its gala season premiere Saturday for the first time in 59 years, determined to shake the opera's reputation for bringing bad luck. The production conducted by Riccardo Chailly and featuring Russian soprano Anna Netrebko, American tenor Brian Jagde and French baritone Ludovic Tezier received 13 minutes of applause, and a smattering of boos from the upper balconies. “No one booed after my arias,′′ Netrebko retorted, with an air kiss. The premiere is a highlight of the Milan cultural calendar, attracting top figures from the world of politics, business and the arts, although this year, both President Sergio Mattarella and Premier Giorgia Meloni, who have attended in the past, instead traveled to Paris for ceremonies marking the reopening of the Notre Dame Cathedral. Netrebk o sang the role of Leonora to American tenor Brian Jagde's Don Alvaro, lovers whose future is determined by a tragic accident. Jagde was brought in on short notice to substitute for German tenor Jonas Kaufmann , who dropped out for family reasons. “I have never felt like this in my life,'' Jagde said backstage. ”It really is so exciting to be on stage in this place, with these people, on this day." It is Jagde’s fourth time singing the role of Don Alvaro this year alone, and his third La Scala performance, the second alongside Netrebko. Netrebko called the score of “La Forza del Destino” a “masterpiece,” but confessed recently that she could not identify with her character, Leonora, ’’as a woman of the 21st century.” “If you are looking at the story, it is basically nonsense, sorry,” she told a recent press conference. "If we are being serious and trying to follow the story, and try to understand, especially the character of Leonora, hunted by fear, guilt, desperation, and in the end what did she find?” The opera is an ill-fated love story between Don Alvaro and Leonora set against the background of a wars, which has resonance in current global turbulence. A pro-Palestinian protest gnarled traffic in the center of Milan just ahead of the VIP arrivals at La Scala. Unions also traditionally protest the lavish event in the piazza opposite the opera house. “La Forza del Destino” has not opened the La Scala season since 1965, and has not been performed by La Scala's orchestra for 25 years. The opera has been dogged by superstition that it brings bad luck, so much so that some in Italy will not say the full title aloud. But La Scala general manager Dominique Meyer said the reason so much time had passed is that “there aren't always singers up to it.” “We need to understand something, that singers like Anna Nebrenko come once in a generation.” He dismissed the superstition as “folklore," adding, "we applaud folklore, but we remain calm.''Jaylen Blakes, Maxime Raynaud and Oziyah Sellers combined for 35 points in a 47-point, first half explosion Saturday afternoon and Stanford ran away from California for an 89-81 Atlantic Coast Conference road win in Berkeley, Calif. Raynaud and Blakes finished with 20 points apiece for the Cardinal (8-2, 1-0 ACC), who won their first ever game in ACC competition. Andrej Stojakovic had a game-high 25 points and Jovan Blacksher Jr. added 14 for the Golden Bears (6-3, 0-1), who dropped their second in a row after a 6-1 start. Playing just its second true road game of the season, Stanford scored 14 of the game's first 18 points and never looked back. Raynaud and Ryan Agarwal hit 3-pointers in the run. Blakes had 14 points, Raynaud 11 and Sellers 10 in the first half, which ended with Stanford in front 47-31. Cal was still down 81-65, after two free throws by Stanford's Chisom Okpara with 3:58 remaining before making a little run. Mady Sissoko converted a three-point play and Rytis Petraitis and Joshua Ola-Joseph connected on consecutive 3-pointers in a 9-0 flurry that made it a seven-point game with still 2:13 to go. It got as close as six when Stojakovic drilled a 3-pointer with 1:21 left, but Okpara and Blakes dropped in late layups to keep the hosts at arm's length. Seven of the nine Cardinal who saw action hit at least half his field goal attempts, led by Raynaud's 8-for-15 and Blakes' 7-for-13. Stanford finished 52.6 percent as a team. Both were deadly from the 3-point line as well, with Raynaud going 4-for-6 and Blakes 2-for-4. With Sellers adding 3-for-6, the Cardinal made 11 of their 23 attempts (47.8 percent) from beyond the arc. Raynaud also found time for five blocks, while Agarwal and Aidan Cammann shared Stanford rebound honors with seven. Blakes complemented his 20 points with a team-high six assists and two blocks. The Cardinal registered 19 assists on 30 baskets, while Cal had just five on its 30 hoops. Agarwal and Okpara each also scored in double figures with 11 points. Facing his old team for the first time after transferring to Cal over the summer, Stojakovic shot 11-for-25. The Golden Bears finished at 42.3 percent overall and 38.1 percent (8 of 21) on 3-pointers. Ola-Joseph and Sissoko, who had 11 points, were the game's leading rebounders with eight apiece. -Field Level Media
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