Product leaders see AI possibilities. Operations teams see implementation chaos. That disconnect can kill promising AI features before they ever reach users. In this session, Chris Hernandez (Chime) and Jeremy Silva (Freeplay) share an integrated framework that bridges product strategy and operational reality. You'll learn how they transformed fragmented AI workflows into a unified approach—from prototyping and prompt testing to human review loops and model benchmarking. We’ll explore how to build evaluatio ...

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].

Core Insights - Advanced Micro Devices (AMD) is experiencing strong demand for its Graphics Processing Units (GPUs), primarily due to the rising adoption of artificial intelligence (AI) and machine learning techniques [1] - In Q1 2025, AMD's Data Center revenues increased by 57.2% year over year to $3.674 billion, making up 49.4% of total revenues, driven by sales of AMD EPYC CPUs and AMD Instinct GPUs [1][9] - AMD has launched its comprehensive AI platform, including the new Instinct MI350 Series GPUs, which offer 4x generational AI compute gains [2] - AMD has enhanced support for frontier AI models on Instinct GPUs with ROCm software, providing day-zero support for the latest Meta AI Llama 4 and Google Gemma 3 models [3] Competitive Landscape - AMD faces significant competition in the GPU market from NVIDIA and Intel [4] - NVIDIA's Data Center revenues surged by 73.3% year over year to $39.1 billion in Q1 2026, driven by the demand for generative AI and large language models [5] - Intel is expanding its GPU market presence with new Arc Pro B-series GPUs aimed at AI inference and demanding workloads [6] Stock Performance and Valuation - AMD shares have increased by 18.9% year to date, outperforming the broader Zacks Computer & Technology sector's return of 4.4%, but underperforming the Zacks Computer - Integrated Systems industry's increase of 28.1% [7] - AMD is trading at a premium with a forward 12-month Price/Sales ratio of 6.78X compared to the industry's 3.92X, and it has a Value Score of F [10] - The Zacks Consensus Estimate for Q2 2025 earnings is 54 cents per share, indicating an 8.4% decline over the past 30 days and a 21.74% decrease year over year [12]

As organizations seek to harness their proprietary data while maintaining security and compliance, Amazon Bedrock provides a comprehensive framework for building tailored AI applications. Using Amazon Bedrock Knowledge Bases and Amazon Bedrock Data Automation, organizations can create AI solutions that truly understand their unique business context, terminology, and requirements. Combined with Amazon Bedrock Guardrails, these capabilities enhance the accuracy and relevance of AI-generated responses, while e ...

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):Check this!! You can now raise PRs by just writing English prompts.I integrated the @codegen coding agent with Slack and asked it to build a video RAG app.5 minutes later, it raised a PR with fully working code.Completely hands-off! https://t.co/bcQFp6yBDJ ...

Core Points - Intermap Technologies Corporation held its annual general meeting on June 26, 2025, with 27,270,817 Class A common shares represented, accounting for 45.93% of total shares outstanding [1] - Shareholders voted in favor of all business items, including the election of directors and the appointment of MNP LLP as auditors [2] Election of Directors - Patrick A. Blott was elected with 18,579,224 votes for (96.38%) and 698,190 votes withheld [3] - Philippe Frappier received 18,696,326 votes for (96.99%) and 581,088 votes withheld [3] - John (Jack) Hild was elected with 18,694,826 votes for (96.98%) and 582,588 votes withheld [3] - Jordan Tongalson also received 18,696,326 votes for (96.99%) and 581,088 votes withheld [3] Appointment of Auditors - MNP LLP was appointed as auditors with 26,566,313 votes for (97.42%) and 704,504 votes withheld (2.58%) [3] Company Overview - Intermap Technologies, founded in 1997 and headquartered in Denver, Colorado, specializes in geospatial intelligence solutions, focusing on 3D terrain data and high-resolution thematic models [4] - The company utilizes scientific analysis, patented sensors, and processing technology to provide multi-source datasets for geospatial intelligence integration [4] - Applications of Intermap's products include defense, aviation, insurance, disaster mitigation, environmental planning, and more [4]

AI Engineering Career Development - Identifies 10 GitHub repositories for building a career in AI engineering [1] - Highlights a 100% free roadmap for AI engineering [1] Key Areas in AI/ML - Covers basics of AI/ML [1] - Includes neural networks [1] - Focuses on research paper implementations [1] - Addresses MLOps [1] - Encompasses LLMs/RAG/Agents [1]

Core Viewpoint - Bank of America Securities maintains a Neutral rating on Micron Technology despite strong earnings and positive guidance due to muted demand in the PC and phone markets affecting memory chip pricing [1] Financial Performance - Micron reported third-quarter revenue of $9.3 billion, a 16% increase, surpassing the consensus estimate of $8.87 billion [2] - The company achieved adjusted earnings of $1.91 per share, exceeding analyst expectations of $1.60 per share [2] - For the fourth quarter, Micron expects revenue of $10.7 billion, plus or minus $300 million, compared to estimates of $9.88 billion, and anticipates adjusted earnings of $2.50 per share, plus or minus 15 cents, against estimates of $2.01 per share [3] Market Position and Product Outlook - Micron is the last remaining pure-play U.S.-based memory company and the third-largest supplier of memory chips, including DRAM and NAND [4] - The company supports trends in artificial intelligence, 5G, machine learning, and autonomous vehicles, with an improved outlook for DRAM and a ramp in High Bandwidth Memory (HBM) [4] Gross Margin and Inventory Management - Micron expects a fiscal fourth-quarter gross margin of 42.0%, up from the guided 36.5% in the fiscal third quarter, attributed to a strong pricing environment and better product mix [5] - Management anticipates exiting fiscal 2025 with tight DRAM inventories and significantly reduced NAND inventories, aiming for overall company inventory near the target 120-day level [6] AI and HBM Opportunities - Micron's HBM opportunities are expanding, with shipments of HBM3e 12-high to four customers, and a projected market share of 20-25% in the $35 billion Total Addressable Market for calendar 2025, potentially reaching $2.4-2.5 billion by the end of the fiscal first quarter [7] Future Projections - The analyst raised sales estimates for calendar years 2025-2027 by 4-6% and EPS by 13-23%, but reiterated a Neutral rating due to uncertain NAND pricing and ongoing cost headwinds affecting gross margins into calendar 2026 [8] - Projected fourth-quarter sales are now $10.71 billion (previously $9.83 billion) and adjusted EPS of $2.50 (previously $1.82) [8]

Core Insights - BluSky AI Inc. is developing modular AI data center infrastructure to meet the growing compute demands of artificial intelligence and high-performance computing [2][4] - The company's flagship product, SkyMod data centers, are designed for rapid deployment and energy efficiency, allowing clients to lower costs and complexity [2][3] - BluSky AI aims to fill a significant gap in the AI ecosystem by providing scalable, rapidly deployable compute solutions [4] Company Overview - BluSky AI is headquartered in Salt Lake City, Utah, and focuses on innovative and sustainable infrastructure solutions for the AI sector [6] - The company plans to address the global AI supply shortage with turnkey modular solutions across multiple locations [6] Market Position - North America accounts for over 40% of the $347.6 billion global data center market, with U.S. demand expected to grow at a double-digit rate [4] - BluSky AI's modular, GPU-centric approach positions it well to scale with market demand [4] Strategic Partnership - BluSky AI has selected IBN to lead its corporate communications, leveraging IBN's extensive distribution network to enhance visibility among investors and the public [5][6] - IBN has over 19 years of experience and a large audience, which will help BluSky AI reach a broader market [6]

Core Insights - One Stop Systems, Inc. (OSS) has received a third order worth $340,000 from a leading defense contractor in Asia for autonomous maritime applications, indicating a shift from system development to production deployment [1][2] - OSS anticipates approximately $4 million in cumulative sales from 2026 to 2029 due to the expected expansion of unmanned surface vehicle (USV) production [2] - The company’s rugged computing technology is designed to convert manned patrol boats into autonomous vessels, supporting various mission profiles in defense and maritime security [3] Company Overview - OSS specializes in rugged Enterprise Class computing solutions for AI, machine learning, and sensor processing, catering to demanding environments [6][8] - The company’s product offerings include ruggedized servers, compute accelerators, and storage solutions, utilized across multiple industries including defense, autonomous trucking, and farming [7] - OSS's technology addresses the entire AI workflow, providing high-speed data acquisition and deep learning capabilities, positioning the company as a leader in the edge computing market [8] Product Details - OSS is supplying 16 rugged 3U Gen 5 Short Depth Servers and redundant ethernet switches for high-speed data processing from over 30 cameras, designed to operate reliably in extreme temperatures [4] - The systems are integral to the USV's computer vision and autonomous navigation, enhancing operational capabilities in complex marine environments [4] Strategic Positioning - The CEO of OSS highlighted the importance of the partnership with the defense contractor, emphasizing the transition to production and the long-term value of this relationship [5] - OSS aims to embed its PCIe/Switch Fabric technology throughout the lifecycle of defense programs, aligning with how global defense contractors manage critical projects [5]