Group 1 - Edge Total Intelligence Inc. has been recognized by Gartner in its Hype Cycle for the Future of Enterprise Applications, 2024, as a Sample Vendor in the Digital Twins category [1][2] - The report highlights a transformation in enterprise applications from simple tools to systems of intelligence that enhance algorithmic process optimization and AI-based decision-making [2][4] - The company's edgeCore™ software provides a data mesh capability that integrates authoritative information with control systems across various domains, leveraging generative AI and machine learning to enhance decision-making [4][7] Group 2 - Digital twins are being utilized by enterprises to accelerate business processes and contribute to machine learning and GenAI foundation models, leading to improvements such as cost optimization and enhanced visibility [4][5] - The CEO of edgeTI emphasized that digital twins allow for a unified view across siloed data, facilitating more intelligent operations and better matching the needs of executives and employees [5][6] - EdgeTI offers demonstrations and free evaluations of its digital twin technology to prospective enterprises, showcasing its commitment to innovation in real-time operations [5][7]

If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs.Avi Chawla (@_avichawla):ML researchers just built a new ensemble technique.It even outperforms XGBoost, CatBoost, and LightGBM.Here's a complete breakdown (explained visually): ...

Here's the visual again for your reference:To recap, instead of training 32 (or K) separate MLPs, TabM uses one shared model and a lightweight adapter layer.Check this visual 👇 https://t.co/lF0yc2UjBb ...

Who is afraid that AI is going to destroy human civilization. Now, don't be shy. It can't see you right now.Who knows someone who is afraid that AI is going to destroy human civilization. Who is afraid of dying. In a black box, AI and death share a room.What's inside this black box. We don't know. In a 2023 New York Times column, Ezra Klene wrote about AI.We do not understand these systems, and it's not clear we even can. I am an artist dealing in embodiment and livveness. As such, I have taken AI and death ...

Core Insights - NextNRG, Inc. has been included in the Russell 2000® and Russell 3000® Indexes, marking a significant milestone in its growth and recognition in the market [1][3] - The reconstitution of the Russell indexes will take effect after market close on June 27, 2025, with trading in the new indexes starting on June 30, 2025 [2] - The inclusion in these indexes is expected to enhance institutional engagement and long-term value creation for NextNRG as it scales its projects across the country [3] Company Overview - NextNRG is focused on AI-powered energy innovation, utilizing advanced technologies such as the Next Utility Operating System®, smart microgrid infrastructure, and wireless EV charging [1][5] - The company aims to create an integrated ecosystem for renewable energy, energy infrastructure, battery storage, and on-demand mobile fuel delivery [5] Strategic Developments - NextNRG has experienced strong quarterly growth and strategic advancements, including new state expansions and enterprise partnerships [4] - The company is expanding its fleet of fuel delivery trucks and has acquired Yoshi Mobility's fuel division and Shell Oil's trucks, reinforcing its leadership in the on-demand fueling industry [7] - NextNRG is integrating sustainable energy solutions into its mobile fueling operations and plans to assist fleet customers in transitioning to electric vehicles (EVs) [7] Technological Innovations - The Next Utility Operating System® employs AI and machine learning to enhance energy management efficiency [6] - NextNRG's smart microgrids utilize AI-driven energy management alongside solar power and battery storage to improve energy efficiency and grid resiliency [6]

Core Insights - The article discusses the author's academic and professional background in Machine Learning, Economics, and Finance, highlighting affiliations with prestigious institutions and experience in financial advisory, particularly in banking and mergers & acquisitions [1]. Group 1 - The author holds a PhD in Machine Learning with a focus on Economics and Finance [1]. - The author has academic affiliations with IESE Business School, ESADE Business School, and the Barcelona Supercomputing Center [1]. - The professional experience includes working at Deloitte Financial Advisory, specializing in banking and mergers & acquisitions [1]. Group 2 - The author's interests include machine learning and generative AI applications in finance and economics [1]. - The author is proficient in programming languages such as Python, R, and SQL [1].

But so then I ended up just living in Peru because after that I got I couldn't leave the country and so I got a dog and then I got a I got a wife and then you just don't leave you know locked yourself down. I locked myself in. Yeah.But it turned out to be a really good idea actually. I'm from already. Good afternoon everyone.Uh welcome to Proof of Talk in Paris. My name is Gareth Jenson. I'm the head of multimedia here at Cointelegraph and it's a great pleasure to be live streaming from the event.Um, next t ...

TORONTO, June 10, 2025 (GLOBE NEWSWIRE) -- NetraMark Holdings Inc. (the “Company” or “NetraMark”) (CSE: AIAI) (OTCQB: AINMF) (Frankfurt: PF0), an artificial intelligence (AI) solutions company transforming clinical trial design in the pharmaceutical industry announced the successful completion of its Annual General Meeting of shareholders held on June 9th, 2025. All matters brought before shareholders, as outlined in the Management Information Circular dated May 5, 2025, were duly approved. The shareholders ...

Summary of Riskified (RSKD) FY Conference Call - June 10, 2025 Company Overview - **Company**: Riskified - **Industry**: E-commerce fraud prevention and risk management Key Points and Arguments 1. **Core Business Model**: Riskified started by helping merchants manage e-commerce risk, focusing on identifying fraudulent transactions and managing chargebacks. The company has expanded its services to include policy abuse management and consumer account protection [1][3][4]. 2. **Market Size**: Merchants are liable for card-not-present fraud, leading to aggregate losses of hundreds of billions annually due to fraud [4]. 3. **Cost Structure for Merchants**: A sample profit and loss statement for e-commerce merchants shows costs related to fraud chargebacks (25 basis points), staffing (3 basis points), and tools (2 basis points) [5]. 4. **Performance Guarantees**: Riskified offers guaranteed performance, including cost guarantees for approved transactions that result in chargebacks, which allows merchants to replace traditional service provider costs [7][8]. 5. **Data Capture and Technology**: Riskified utilizes extensive data capture per transaction, leveraging machine learning to optimize fraud detection and decision-making processes. The company claims to capture three times more data than traditional payment processors [10][12]. 6. **Client Base**: Riskified works with over 50 publicly traded companies, providing tailored models for each client based on their specific data points [12][14]. 7. **Fraud Trends**: Fraud is becoming more sophisticated, necessitating continuous investment from merchants to combat new trends. The rise of e-commerce and AI tools has contributed to this increase in fraud [19][20][21]. 8. **Riskified Flywheel**: As more merchants join the network, Riskified's accuracy improves due to better data, leading to higher approval rates and retention rates among clients [22][23]. 9. **Policy Abuse Management**: Riskified's policy product helps merchants identify and block fraudulent refund and return requests, providing significant ROI [23][37]. 10. **International Growth**: The company has seen strong international growth, with eight out of the top ten clients in Q1 being outside the U.S. [35]. 11. **New Product Growth**: Non-chargeback guarantee products grew by 190% year-over-year, with significant revenue expected from the policy product [36]. 12. **Financial Health**: Riskified has a strong balance sheet with no debt and has been actively repurchasing shares. The company aims for 15% to 20% EBITDA margins by 2026 [53][56]. 13. **Market Opportunity**: The total e-commerce GMV is over $6 trillion, presenting a significant growth opportunity for Riskified as it aims to capture more market share [58]. Additional Important Insights 1. **Client Decision Factors**: Enterprises often weigh the cost of building internal solutions against outsourcing to Riskified, which can improve their P&L by reducing costs and increasing efficiency [60]. 2. **Long-term Vision**: Riskified aims to expand its product portfolio and generate more value for clients, leveraging network effects to gain capabilities across geographies and industries [62]. 3. **M&A Strategy**: The company is open to M&A opportunities that can enhance its technology and cross-sell to existing clients, although current market valuations present challenges [56][57]. This summary encapsulates the key insights from the Riskified FY Conference Call, highlighting the company's strategic focus, market dynamics, and growth potential in the e-commerce fraud prevention industry.

Core Insights - The Progressive Corporation (PGR) is recognized as a leader in innovation within product, service, and distribution, particularly in the personal auto insurance sector [1] - The Personal Auto segment significantly contributes to PGR's profitability, accounting for approximately 90% of Personal Lines net premiums written and 75% of total company premiums [2] Personal Auto Segment Performance - The performance of the Personal Auto segment is driven by rate increases, higher new applications due to increased advertising, and a robust independent agents' network [2] - Lower accident frequency and stable severity trends further enhance the segment's performance [2] - PGR's competitive rates and advanced underwriting technology position it well against inflationary pressures, allowing for quicker rate adjustments compared to peers [3] Growth Potential - The Personal Auto segment is expected to continue as a long-term growth driver, with potential for increased premium volume and profitability [4] - The application of quantitative analytics in pricing and risk selection supports PGR's ability to attract low-risk drivers while effectively pricing higher-risk ones [3] Competitor Analysis - Competitors like Allstate and Travelers are also focusing on their personal auto segments, with Allstate benefiting from expanded product offerings and Travelers leveraging improved pricing leverage and underwriting margins [5][6] Stock Performance and Valuation - PGR's shares have increased by 10.9% year-to-date, outperforming the industry [7] - The company trades at a price-to-book value ratio of 5.49, significantly above the industry average of 1.57, indicating a potentially expensive valuation [10] Earnings Estimates - Estimates for PGR's EPS for the second and third quarters of 2025 have increased by 12% and 1.4%, respectively, with full-year estimates for 2025 and 2026 also showing upward movement [11] - The consensus estimates indicate year-over-year increases in revenues and EPS for 2025 and 2026 [12]