Water temperature in the Gulf of St. Lawrence was the hottest ever recorded in 2024
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National Post
an hour ago
- National Post
The Future of AI in the AEC Industry Unveiled at BST Global's 2025 AI Summit
Article content TAMPA, Fla. — BST Global, the leading provider of AI-powered project intelligence ™ solutions for the AEC industry, hosted its second annual AI Summit, May 6–8, 2025, in Palm Beach, FL. The premier event brought together 12 thought leaders from some of the world's most influential firms, including Arcadis, Arup, AtkinsRéalis, Gensler, GHD, Jacobs, Mott MacDonald, NVIDIA, Parsons, Stantec, and WSP to share insights on how AI is reshaping the future of the AEC industry. Attendees as well as the broader AEC community praised the 2025 AI Summit for its timely content and line-up of industry trailblazers. Article content Article content 'AI is certainly at work. We've seen immense progress in real AI and big data use cases since our inaugural event in 2024, but there is still work to do.' Article content This year's AI Summit focused exclusively on the evolving role of artificial intelligence in AEC, aiming to equip industry leaders with the knowledge and strategies they need to navigate a data-driven, AI-powered future. AI Summit attendees engaged in a dynamic agenda of keynotes, panel discussions, presentations and networking sessions. Article content A major highlight of the event was the debut of the 'AI + Data Insights 2025: Global AEC Industry Report,' based on findings from BST Global's AI + Data Survey. The report underscores the urgent need for firms to embrace AI while managing the associated risks and closing the digital skills gap. Download the full report here. Article content For the first time, the AI Summit featured a Voice of the Client panel, spotlighting perspectives from Aldar Properties PJSC and GE Vernova. These client leaders shared how they're implementing AI across their organizations and what they expect from their AEC partners in the years ahead. Article content As the second AI Summit concluded, Chief Executive Officer Javier A. Baldor shared key observations about the state of the industry: 'AI is certainly at work. We've seen immense progress in real AI and big data use cases since our inaugural event in 2024, but there is still work to do. Our industry is in the process of a transformation, one that will upend the industry's underlying business model and reimagine the future of work, but make no mistake — that transformation will happen.' Article content The 2025 AI Summit reaffirmed BST Global's commitment to leading the AI conversation within the AEC space and facilitating the collaboration necessary to move the industry forward. Event recordings and presentations are available here. Article content BST Global also announced its plans for a third AI Summit in 2026. AEC leaders interested in attending next year's AI Summit can sign up to receive registration alerts. Article content BST GLOBAL Article content Article content Article content Article content Article content Article content
Globe and Mail
2 hours ago
- Globe and Mail
Renovaro Secures Key U.S. Patent to Strengthen AI-Driven Drug Discovery and Diagnostics Platform
Expanded IP Portfolio Enhances Data Harmonization and Predictive Analytics Capabilities for High-Growth Biomedical Markets LOS ANGELES, June 03, 2025 (GLOBE NEWSWIRE) -- Renovaro Inc. (NASDAQ: RENB), a clinical-stage precision medicine company, today announced that its subsidiary BioSymetrics has received a Notice of Allowance from the United States Patent and Trademark Office (USPTO) for a new patent application titled 'Methods, Systems, and Frameworks for Unbiased Data in Drug Discovery Predictions' (Application No. 18/058,752). This patent strengthens Renovaro's AI and machine learning intellectual property portfolio by protecting novel methods for integrating and harmonizing diverse biomedical data sources—such as genomics, electronic health records, imaging, and clinical trial data—into a standardized framework for predictive modeling. 'This patent is a strategic milestone for Renovaro,' said David Weinstein, CEO of Renovaro. 'Together with our previously granted patent, it forms the technological foundation of a scalable, end-to-end platform for AI-powered drug discovery and diagnostics and strengthens our position in the fast-growing market for data-driven therapeutics and clinical insights.' Key Drivers for Renovaro: Expands Foundational IP: Builds on core patent (US 11,379,757), granted in July 2022, which protects machine learning pipeline optimization through advanced feature selection and model tuning. Addresses Real-World Challenges: Tackles integration of siloed and heterogeneous data—an unmet need in pharmaceutical R&D and clinical practice. Enhances Commercial Potential: Enables scalable, distributed computing for biomedical analytics across use cases in rare disease, clinical trials, and personalized medicine. Supports Revenue Growth Strategy: Protects Renovaro's differentiated technology approach, critical for commercial partnerships, licensing opportunities, and platform deployment in life sciences and healthcare. The new patent introduces methods that operate across distributed and parallel computing environments, allowing for real-time, reproducible predictive analytics at scale. This infrastructure is vital as the biopharma industry increases reliance on AI to improve efficiency, reduce costs, and accelerate time-to-market for new therapies. This patent allowance reinforces Renovaro's commitment to building category-defining technology platforms that drive value for patients, partners, and shareholders alike. About Renovaro Inc. Renovaro aims to accelerate precision and personalized medicine for longevity powered by mutually reinforcing AI and biotechnology platforms for early diagnosis, better-targeted treatments, and drug discovery. Renovaro Inc. includes RenovaroBio with its advanced cell-gene immunotherapy company and RenovaroCube that is leveraging AI for multi-omic diagnostics and drug development, and BioSymetrics which specializes in contingent AI for precision neurology. For more information, visit Forward-Looking Statements This release contains forward-looking statements, including those relating to the pending litigation and the proposed merger. These statements involve risks and uncertainties and are subject to change based on future developments. Renovaro undertakes no obligation to update any forward-looking statements except as required by law. Investor Relations Chris Tyson Executive Vice President MZ Group - MZ North America 949-491-8235 RENB@ For media inquiries, please contact:
National Post
2 hours ago
- National Post
Snowflake Introduces Cortex AISQL and SnowConvert AI: Analytics Rebuilt for the AI Era
Article content Cortex AISQL embeds generative AI directly into customers' queries, empowering teams to analyze all types of data and build flexible AI-powered pipelines with familiar SQL syntax — unlocking industry-leading performance and up to 60% cost savings when filtering or joining data Leading organizations including Hex, Sigma, TS Imagine, and more are leveraging Cortex AISQL to seamlessly advance their data capabilities with AI SnowConvert AI accelerates Snowflake migrations from legacy platforms using AI-powered automation, reducing manual re-coding and lowering the risk associated with large-scale data migrations Article content Article content SAN FRANCISCO — Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced at its annual user conference, Snowflake Summit 2025, major innovations that expand on Snowflake Cortex AI, Snowflake's suite of enterprise-grade AI capabilities, empowering global organizations to modernize their data analytics for today's AI landscape. Snowflake is unveiling SnowConvert AI, an agentic automation solution that accelerates migrations from legacy platforms to Snowflake. With SnowConvert AI, data professionals can modernize their data infrastructure faster, more cost-effectively, and with less manual effort. Once data lands in Snowflake, Cortex AISQL (now in public preview) then brings generative AI directly into customers' queries, enabling teams to extract insights across multi-modal data and build flexible pipelines using SQL and AI — all while providing best‑in‑class performance and cost efficiency. Article content 'Every organization recognizes the potential of AI. But too often, harnessing AI means overcoming complex infrastructure, performance limitations, high costs, and a reliance on engineers to build custom pipelines,' said Carl Perry, Head of Analytics, Snowflake. 'We're removing those barriers, whether it's enabling anyone to analyze and act on all their data with Cortex AISQL or accelerating migrations off legacy systems through SnowConvert AI. By empowering teams to move faster, work smarter, and turn data into real impact, we're reimagining analytics for the AI era.' Article content 'In capital markets, speed and precision are everything. For years, SQL has been the gold standard for transforming data — and now, with Cortex AISQL, we're extending that power to unstructured text,' said Thomas Bodenski, Chief Operating Officer, TS Imagine. 'With AISQL, our teams can analyze documents, extract insights, and build intelligence directly in the language they already know — all without complex engineering workflows. It's a game-changer for how fast we can respond to markets and deliver value to clients, while leveraging the Snowflake architecture for high performing SQL processing.' Article content Snowflake helps customers leverage generative AI through familiar SQL queries, redefining how organizations analyze data. Snowflake Cortex AI has already enabled customers to build and deploy advanced AI models, apps, and agents within the security perimeter of the AI Data Cloud. Now, Cortex AISQL marks the next leap forward by leveraging generative AI to create powerful new query capabilities, effectively turning every data analyst into an AI engineer. Cortex AISQL is powered by leading models from Anthropic, Meta, Mistral, OpenAI, and others, coupled with core functionality and performance optimizations already built directly into Snowflake's SQL engine. With Cortex AISQL performance optimizations(now in private preview), enterprises now gain performance improvements ranging from 30-70% depending on datasets, with up to 60% cost savings when filtering or joining data across thousands of records, empowering them to scale their analytics capabilities for strategic decision-making. Article content Traditionally, SQL has been limited to structured and semi-structured data, leaving analysts dependent on developers to access insights from unstructured sources. Cortex AISQL changes this by enabling teams to query all data types — from traditional rows and columns of numbers to text, images, audio, and more — all while using SQL, the universal language they already know and love for managing data. Article content By harnessing SQL with AI-powered functions in Snowflake, analysts can now readily access and analyze multi-modal data at scale, eliminating data silos, consolidating tools, and combining traditional structured data with unstructured sources. This includes enriching customer tables with chat transcripts, correlating sensor readings with inspection photos, and merging sales figures with social media sentiment — enabling analysts to classify images, extract insights from call transcripts, and detect anomalies with ease. The result is a fully integrated SQL experience across all data, unlocking deeper insights, faster decisions, and accelerated innovation without the need for specialized AI skills or external services. Cortex AISQL delivers unified intelligence across the entire organization. Article content With SnowConvert AI, Snowflake is making one of the most tedious and time-consuming parts of digital transformation — data warehouse migrations, business intelligence (BI) migrations, and ETL migrations — faster and smarter, without introducing additional risk factors. With data ecosystem migration agents powered by Snowflake Cortex AI, SnowConvert AI enables organizations to quickly and easily move from legacy data warehouses like Oracle, Teradata, Google BigQuery, and other cloud data platforms to Snowflake. Article content By automating the conversion of code, BI reports, ETL tools, and validating the converted code and migrated data efficiently, SnowConvert AI streamlines the migration process for data engineers. SnowConvert AI goes beyond just database migrations, allowing customers to migrate their entire data ecosystem, while staying seamlessly supported and without disrupting critical workflows — ultimately reducing risk, costs, and complexity at every step. Article content SnowConvert AI makes the code conversion and testing phases 2-3 times faster, significantly reducing time-to-delivery and speeding up modernization efforts. By accelerating the path to modernization, Snowflake shortens the time between intention and insight, so organizations can minimize migration timelines and start generating insights that drive results sooner. Article content Snowflake's unified approach to analytics represents a fundamental shift in how organizations analyze their data. Snowflake is also unveiling innovations to Snowflake's unified platform that enables enterprises to process all their data, including open formats like Apache Iceberg ™ tables 1, with remarkable efficiency. In addition, Snowflake announced Standard Warehouse – Generation 2 (now generally available) with next-generation hardware and software optimizations to deliver 2.1x 2 faster analytics performance and 1.9x 3 faster analytics performance than Managed Spark. Snowflake customers can now unlock faster AI-powered insights from all their data — wherever it lives. Article content 1 'Apache Iceberg' is a registered trademark or trademark of the Apache Software Foundation in the United States and/or other countries. 2 Snowflake improvements based on performance of core analytics workloads measured as of May 3, 2024 using Standard Warehouse and May 2, 2025 using Gen2. 3 Performance results based on core analytics workloads on 2XL Gen2 warehouse and comparable warehouse on Managed Spark as of May 2, 2025. Article content Forward Looking Statements Article content This press release contains express and implied forward-looking statements, including statements regarding (i) Snowflake's business strategy, (ii) Snowflake's products, services, and technology offerings, including those that are under development or not generally available, (iii) market growth, trends, and competitive considerations, and (iv) the integration, interoperability, and availability of Snowflake's products with and on third-party platforms. These forward-looking statements are subject to a number of risks, uncertainties and assumptions, including those described under the heading 'Risk Factors' and elsewhere in the Quarterly Reports on Form 10-Q and the Annual Reports on Form 10-K that Snowflake files with the Securities and Exchange Commission. In light of these risks, uncertainties, and assumptions, actual results could differ materially and adversely from those anticipated or implied in the forward-looking statements. As a result, you should not rely on any forward-looking statements as predictions of future events. Article content © 2025 Snowflake Inc. All rights reserved. Snowflake, the Snowflake logo, and all other Snowflake product, feature and service names mentioned herein are registered trademarks or trademarks of Snowflake Inc. in the United States and other countries. All other brand names or logos mentioned or used herein are for identification purposes only and may be the trademarks of their respective holder(s). Snowflake may not be associated with, or be sponsored or endorsed by, any such holder(s). Article content Article content Article content Article content Contacts Article content Article content Article content
