Загрузка видео...

Не удалось загрузить видео

На главную

The world’s largest alternative asset manager, Blackstone, leverages TextQL to enhance its data and analytics capabilities. John Stecher oversees technology at Blackstone and across its portfolio. After evaluating a wide variety of analytics tools, he chose TextQL. In John's words, "When I walked out of the first meeting with...

27,161 просмотров • 2 месяцев назад •via X (Twitter)

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

The private markets didn’t have a purpose-built AI agent for portfolio analysis, so we decided to build one. Today, I’m excited to announce the launch of Standard Metrics’ AI Analyst. When we first launched a portfolio-company-specific agent last year, it was an experiment: would investors trust AI to answer questions and provide reporting and analytics for an individual portfolio company? The answer turned out to be a resounding yes. The missing piece was portfolio-wide analysis to answer broader queries like “which of my companies have accelerating revenue growth?” or “create a report of our companies in Europe that are getting low on runway.” These types of analyses are now possible in seconds with our new AI Analyst, which allows for multi-company, portfolio-wide questions across quantitative and qualitative data on Standard Metrics. It’s been incredibly rewarding working with a small set of Beta customers to hone the analyst before today’s release. Many use cases have already emerged, including monitoring risks, creating materials for follow-on investment decisions, and summarizing portfolio performance for LPs. The AI Analyst was a labor of love across every department at Standard Metrics. We’re just getting started and continuing to invest aggressively in new capabilities. Check it out in action at the video below. More on the launch can be found at our blog in comments. 👇

John Melas-Kyriazi

66,764 просмотров • 6 месяцев назад

$PLTR Some of the commenters under this clip on YouTube were trying to understand what Dr. Karp was talking about because they didn't get the full context. OpenAI and Anthropic recently started working with a bunch of PE firms to create "Deployment Companies." These companies copied Palantir's FDE (Forward Deployed Engineer) model to dispatch people or teams to businesses and help build products for those companies to make them more "efficient." Karp is saying that a lot of these products are being made not for the benefit of the client, but for the benefit of the model providers, as they burn through tokens and thus cost an arm and leg without real long term tangible benefits. Karp's reasoning, in my opinion, is pretty sound. I think the creation of this "Deployment Company" concept is sort of a Trojan horse: many of the portfolio companies might initially find it interesting, but they will ultimately have to deal with runaway costs, inconsistent support, and, most of all, trust issues that cant be won overnight. When I first saw this, I thought it might be a threat to Palantir, but looking back... I think this is a desperate attempt by the model companies to generate some additional high-margin enterprise revenue before the IPO and roadshow. A lot of the private equity companies have exposure to OpenAI and Anthropic through credit investments for the data center build-out, and cannot afford to have these companies drop in value. They thus have no choice but to leverage their existing portfolio companies to adopt these "Deployment" companies. Would love to hear your thoughts Eliano A Younes Chad Wahlquist

Kris Patel 🇺🇸

17,575 просмотров • 2 месяцев назад