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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... show more

ethan ding 📊

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27,121 次观看 • 2 个月前 •via X (Twitter)

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🚨FINAL WARNING: If you’ve ever doubted $IREN, $NBIS, $CIFR here’s your sign: Jon Gray is President and Chief Operating Officer of Blackstone Inc. “It start with the picks and shovels, with things like chips, data centers and power at massive scale.” “We have really focus on the right two circles here.” Blackstone is the world’s largest alternative asset manager, with approximately $1.24 trillion in assets under management.

🚨FINAL WARNING: If you’ve ever doubted $IREN, $NBIS, $CIFR here’s your sign: Jon Gray is President and Chief Operating Officer of Blackstone Inc. “It start with the picks and shovels, with things like chips, data centers and power at massive scale.” “We have really focus on the right two circles here.” Blackstone is the world’s largest alternative asset manager, with approximately $1.24 trillion in assets under management.

Black Panther Capital

457,498 次观看 • 7 个月前

Is the danger of AI that it's a bubble? Or that its very tangible benefits will accrue to only the largest, richest companies? I discussed with Larry Fink, CEO of BlackRock, the largest asset manager in the world:

Is the danger of AI that it's a bubble? Or that its very tangible benefits will accrue to only the largest, richest companies? I discussed with Larry Fink, CEO of BlackRock, the largest asset manager in the world:

Fareed Zakaria

33,689 次观看 • 1 个月前

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. 👇

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 次观看 • 6 个月前

Have you ever heard of such a thing???!!! Jacob Berman worked at Blackstone , the world’s largest private equity firm, helping oversee more than $1 trillion in assets. This year, he took a leave of absence to enlist in the IDF and serve his country, with plans to return to Blackstone after completing his service

Have you ever heard of such a thing???!!! Jacob Berman worked at Blackstone , the world’s largest private equity firm, helping oversee more than $1 trillion in assets. This year, he took a leave of absence to enlist in the IDF and serve his country, with plans to return to Blackstone after completing his service

Yossi Farro

17,985 次观看 • 2 个月前

Edelweiss (one of our largest holdings) is a financial services company in India with a ~$1.2B market cap. Management is planning to spin off multiple subsidiaries, starting with its Alternative Assets business (EAAA). We believe that IPO alone could be worth Edelweiss’s entire current market cap. Our Portfolio Manager Mohnish Pabrai explains.

Edelweiss (one of our largest holdings) is a financial services company in India with a ~$1.2B market cap. Management is planning to spin off multiple subsidiaries, starting with its Alternative Assets business (EAAA). We believe that IPO alone could be worth Edelweiss’s entire current market cap. Our Portfolio Manager Mohnish Pabrai explains.

Pabrai Wagons ETF

111,041 次观看 • 7 个月前

Get ready for your electricity bills to skyrocket, both BlackRock and Blackstone have begun purchasing American electric utilities companies “Private equity firms BlackRock and Blackstone are both in the process of acquiring their first electric utility companies - BlackRock is buying one based out of Minnesota for a little over $6 billion, and they provide services to right around 100,000 people - Blackstone is buying a utility company in New Mexico for just over $11 billion And, and why is private equity starting to get into electricity companies? Well, let me share a little insight with you. PSEG, which is an electric company out of New Jersey, just reported its first quarters of 2025 to be up 47% over last year. They claim that 90% of this energy usage is from AI and data centers. Let that sink in, people. Your energy bills are going to go through the roof.”

Get ready for your electricity bills to skyrocket, both BlackRock and Blackstone have begun purchasing American electric utilities companies “Private equity firms BlackRock and Blackstone are both in the process of acquiring their first electric utility companies - BlackRock is buying one based out of Minnesota for a little over $6 billion, and they provide services to right around 100,000 people - Blackstone is buying a utility company in New Mexico for just over $11 billion And, and why is private equity starting to get into electricity companies? Well, let me share a little insight with you. PSEG, which is an electric company out of New Jersey, just reported its first quarters of 2025 to be up 47% over last year. They claim that 90% of this energy usage is from AI and data centers. Let that sink in, people. Your energy bills are going to go through the roof.”

Wall Street Apes

380,557 次观看 • 11 个月前

Your AI Agents can only analyze 1GB of data Enterprises have 1,000,000x as much data We fixed that... It took 3 years and building an entirely new execution environment to pull this off. TextQL lets AI agents analyze your ENTIRE enterprise data - not just the 0.0001% they can handle today. Here's what makes it so different: 1. ALL your data, not samples. AI today: 1GB demos. Your reality: 350TB across 47 systems. TextQL: Everything. At once. 2. Real enterprise questions.ChatGPT writes poems. We answer why renewal rates dropped 3% after ERP upgrades. 3. No more sandbox limitations.Everyone else: Jupyter notebook with 10GB RAM. Us: A data center. ------------------------------ In 2021, I watched Fortune 500s spend millions on AI that could only analyze data that fits on a USB stick. Today: - We process 10+ petabytes daily - Our biggest customer analyzes 100TB in real-time - Average query spans 50+ data sources And we just proved what everyone said was impossible - AI that can actually build a digital twin of your enterprise ------------------------------ To celebrate, we're giving away free data architecture assessments. We'll show you exactly how much of your data is invisible to AI right now (spoiler: it's probably 99.9%). Comment "TextQL" and we'll send you the assessment link.

Your AI Agents can only analyze 1GB of data Enterprises have 1,000,000x as much data We fixed that... It took 3 years and building an entirely new execution environment to pull this off. TextQL lets AI agents analyze your ENTIRE enterprise data - not just the 0.0001% they can handle today. Here's what makes it so different: 1. ALL your data, not samples. AI today: 1GB demos. Your reality: 350TB across 47 systems. TextQL: Everything. At once. 2. Real enterprise questions.ChatGPT writes poems. We answer why renewal rates dropped 3% after ERP upgrades. 3. No more sandbox limitations.Everyone else: Jupyter notebook with 10GB RAM. Us: A data center. ------------------------------ In 2021, I watched Fortune 500s spend millions on AI that could only analyze data that fits on a USB stick. Today: - We process 10+ petabytes daily - Our biggest customer analyzes 100TB in real-time - Average query spans 50+ data sources And we just proved what everyone said was impossible - AI that can actually build a digital twin of your enterprise ------------------------------ To celebrate, we're giving away free data architecture assessments. We'll show you exactly how much of your data is invisible to AI right now (spoiler: it's probably 99.9%). Comment "TextQL" and we'll send you the assessment link.

ethan ding 📊

162,100 次观看 • 1 年前

running thread of the work i do at Paradigm ↓↓↓ i work with our portfolio founders & lead design at the firm, with a specialty in zero-to-one product design, strategy, and research every engagement with us is a bit different and crafted around the needs & stage of the company

running thread of the work i do at Paradigm ↓↓↓ i work with our portfolio founders & lead design at the firm, with a specialty in zero-to-one product design, strategy, and research every engagement with us is a bit different and crafted around the needs & stage of the company

yang you

73,099 次观看 • 1 年前

Your portfolio just got a team of Wall Street analysts today 👏 A while back, a friend shared this idea of an AI analyst that's always monitoring your portfolio for insights, patterns, and behaviors. I haven't been able to get it out of my head since. I've been experimenting with different forms and UIs to build this exact thing out, and we've finally launched the first version of how we want to build agents at Rallies. Our new agents tool gives you access to 20+ agents that monitor your portfolio all day and send notes when something meaningful happens. Think of it like email, except the messages are coming from agents with access to a lot of financial data and your portfolio.

Your portfolio just got a team of Wall Street analysts today 👏 A while back, a friend shared this idea of an AI analyst that's always monitoring your portfolio for insights, patterns, and behaviors. I haven't been able to get it out of my head since. I've been experimenting with different forms and UIs to build this exact thing out, and we've finally launched the first version of how we want to build agents at Rallies. Our new agents tool gives you access to 20+ agents that monitor your portfolio all day and send notes when something meaningful happens. Think of it like email, except the messages are coming from agents with access to a lot of financial data and your portfolio.

Rallies

10,312 次观看 • 4 个月前

Building a portfolio of your work is something we’ve all done at various points and you might fall back on Tableau Public or lean into a Maven Showcase to host your work. In my latest discussion with @juditbekker about her portfolio, she highlights the value and advantages of curating and building your own space alongside the small decisions she made along the way. #data #analytics #salesforce #tableau

Building a portfolio of your work is something we’ve all done at various points and you might fall back on Tableau Public or lean into a Maven Showcase to host your work. In my latest discussion with @juditbekker about her portfolio, she highlights the value and advantages of curating and building your own space alongside the small decisions she made along the way. #data #analytics #salesforce #tableau

Tim Ngwena

25,930 次观看 • 2 年前

“I saw a glimpse of the world and its complexities and I thought… I want to be a part of that.” Alicia Herbert is the first Caribbean person to be a UK High Commissioner in the Caribbean. From family roots to career moves, here's what happened when she met with David Lammy.

“I saw a glimpse of the world and its complexities and I thought… I want to be a part of that.” Alicia Herbert is the first Caribbean person to be a UK High Commissioner in the Caribbean. From family roots to career moves, here's what happened when she met with David Lammy.

Foreign, Commonwealth & Development Office

47,794 次观看 • 1 年前

“When I asked the people of Katsina State for the honour of leading them, I did not come with empty words. I came with a blueprint, a clear, deliberate vision for what this state could become. And at the very heart of that blueprint was a conviction I have carried for many years: that the greatest investment any government can make is not in roads or buildings, but in the minds of its children.”

“When I asked the people of Katsina State for the honour of leading them, I did not come with empty words. I came with a blueprint, a clear, deliberate vision for what this state could become. And at the very heart of that blueprint was a conviction I have carried for many years: that the greatest investment any government can make is not in roads or buildings, but in the minds of its children.”

Dikko Umaru Radda, Ph.D. CON.

11,516 次观看 • 3 个月前

David on why venture capital has become more competitive: "When I started my career, there were one or two technology companies in the largest 10 market cap companies. Now it's 8 of 10, and 7 of 8 are West Coast technology venture-backed companies. There's $5T of private market cap up 10x in the last 10 years and it's some of the best companies in the world. That's a quarter of the S&P 500 and more than half of the Mag 7. Our portfolio on average dollar weight is growing 112%. The quality of small cap public companies is much lower than what's available in the private markets."

David on why venture capital has become more competitive: "When I started my career, there were one or two technology companies in the largest 10 market cap companies. Now it's 8 of 10, and 7 of 8 are West Coast technology venture-backed companies. There's $5T of private market cap up 10x in the last 10 years and it's some of the best companies in the world. That's a quarter of the S&P 500 and more than half of the Mag 7. Our portfolio on average dollar weight is growing 112%. The quality of small cap public companies is much lower than what's available in the private markets."

Patrick OShaughnessy

149,363 次观看 • 8 个月前

$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

$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 次观看 • 2 个月前

The world around us is changing so fast. And to stay relevant, you need to constantly upskill yourself as well as accumulate capabilities. Data Analytics, Automation, and AI skill will continue to grow and evolve. On this channel, I will help you grow your knowledge of in these areas. From building your first machine learning model to deployment, building your first dashboard to becoming a pro, understanding business process automation using low code tools, data management, as well as learning from industry professionals through podcast. If you would like to learn about Microsoft Fabric, Power Platform, Data Management and Governance, Data Analytics, you are in the right place.

The world around us is changing so fast. And to stay relevant, you need to constantly upskill yourself as well as accumulate capabilities. Data Analytics, Automation, and AI skill will continue to grow and evolve. On this channel, I will help you grow your knowledge of in these areas. From building your first machine learning model to deployment, building your first dashboard to becoming a pro, understanding business process automation using low code tools, data management, as well as learning from industry professionals through podcast. If you would like to learn about Microsoft Fabric, Power Platform, Data Management and Governance, Data Analytics, you are in the right place.

TheOyinbooke

15,539 次观看 • 2 年前

I don't think people understand that one of the biggest real-world use cases for Crypto it is happening - right now. FedEx, just sat down with Mance Harmon of $HBAR and explained why they chose Hedera to track millions of packages a day, to 220 countries. Dale Christie, Blockchain Strategist at FedEx said in 2018, FedEx tried building its own blockchain... But it wouldn’t scale so they chose Hedera. Why? Every package generates hundreds - sometimes thousands - of data points, and Hedera enables the key facts to move through customs at the speed of data, not paper. “When you are a trusted shipper and I am a trusted receiver… that data can move through customs at the speed of data and keep it moving.” One of the largest logistics companies in the world just publicly said Hedera is the foundation they’re building on. Hedera is the most undervalued token imo. and this is one of the biggest use cases Crypto's ever seen.

I don't think people understand that one of the biggest real-world use cases for Crypto it is happening - right now. FedEx, just sat down with Mance Harmon of $HBAR and explained why they chose Hedera to track millions of packages a day, to 220 countries. Dale Christie, Blockchain Strategist at FedEx said in 2018, FedEx tried building its own blockchain... But it wouldn’t scale so they chose Hedera. Why? Every package generates hundreds - sometimes thousands - of data points, and Hedera enables the key facts to move through customs at the speed of data, not paper. “When you are a trusted shipper and I am a trusted receiver… that data can move through customs at the speed of data and keep it moving.” One of the largest logistics companies in the world just publicly said Hedera is the foundation they’re building on. Hedera is the most undervalued token imo. and this is one of the biggest use cases Crypto's ever seen.

Mark

44,373 次观看 • 5 个月前

Yesterday HFØ held its demo day. I've met billionaires who only go to its demo day. I've gone now to three of its demo days, and the companies it brings are generally a cut above others. Here's and its founder, Richie Cartwright presenting it. I watched him work the booth after, meeting investor after investor. The demo worked, got many to come to meet him. He's building an AI Doctor that already is seeing significant sales in Europe. I'll be bringing more of the 14 companies to you as they come out of stealth.

Yesterday HFØ held its demo day. I've met billionaires who only go to its demo day. I've gone now to three of its demo days, and the companies it brings are generally a cut above others. Here's and its founder, Richie Cartwright presenting it. I watched him work the booth after, meeting investor after investor. The demo worked, got many to come to meet him. He's building an AI Doctor that already is seeing significant sales in Europe. I'll be bringing more of the 14 companies to you as they come out of stealth.

Robert Scoble

278,876 次观看 • 1 个月前