Core Insights - o9 Solutions has filed a lawsuit against SAP and three former executives, alleging corporate espionage to enhance SAP's enterprise planning offerings [1] - The lawsuit highlights the competitive landscape in AI-driven supply chain management, crucial for logistics operators [1] Company Overview - o9 Solutions, founded in 2009, has grown into a significant player in enterprise planning and supply chain technologies, with a valuation exceeding $1 billion by 2020 [2] - The company's flagship "Digital Brain" platform utilizes AI and machine learning for demand forecasting and integrated business solutions, supported by its proprietary Enterprise Knowledge Graph [2] - o9 has experienced substantial growth, with a 65% year-over-year subscription growth in 2022, 47% in 2023, 37% in 2024, and 63% in Q1 2025 [2] Competitive Landscape - SAP, the largest vendor of legacy ERP software, is facing challenges in modernizing its offerings, with over €34 billion in annual revenue [3] - The lawsuit points out that SAP's Advanced Planning and Optimization system is outdated, and its next-gen Integrated Business Planning system has faced market resistance due to high costs and long implementation timelines [3] - Many users of SAP's legacy system have migrated to competitors like o9, impacting SAP's market dominance in supply chain planning [3] Key Individuals Involved - The lawsuit involves three former o9 executives who have joined SAP, including Stephan de Barse, Stijn-Pieter van Houten, and Sean Zonneveld, raising concerns about the transfer of confidential information [4] - De Barse, who resigned in January 2025, is now SAP's President of Global Business Suite, while van Houten and Zonneveld have taken on significant roles in SAP's supply chain management [4]

Core Insights - Insulet Corporation (PODD) received FDA 510(k) clearance for enhancements to the Omnipod 5 Automated Insulin Delivery System, introducing a lower 100 mg/dL Target Glucose option and improving the automated experience [1][5][8] - The updated algorithm is expected to launch in the United States in the first half of 2026 [1] - Following the announcement, PODD's shares increased by 2.7%, reflecting positive market sentiment towards the company's innovation and expansion efforts [2][8] Company Overview - Insulet has a current market capitalization of $21.42 billion, with earnings projected to increase by 50.9% in 2025, driven by a 30.0% improvement in revenues [3] - The Omnipod 5 system is the first FDA-cleared tubeless, waterproof automated insulin delivery system for type 1 and type 2 diabetes, simplifying diabetes management and improving clinical outcomes [4][10] Product Enhancements - The new 100 mg/dL Target Glucose option expands customization to six settings, allowing healthcare providers to tailor insulin delivery more precisely [5] - The upgraded algorithm enhances automated insulin delivery, reducing interruptions during high glucose events and improving user experience [6][8] Market Prospects - The global insulin delivery system market is projected to grow from $17.77 billion in 2024 to $38.09 billion by 2034, at a compound annual growth rate of 7.92% [9] - Factors driving market growth include the increasing number of diabetic patients and advancements in technology such as automation and AI [9] Stock Performance - Insulet's shares have gained 14.8% over the past year, contrasting with a 1.1% decline in the industry [11] - The company currently holds a Zacks Rank 2 (Buy), indicating strong market confidence [12]

Core Insights - NetraMark Holdings Inc. has announced the acceptance of its peer-reviewed paper on its AI platform, NetraAI, for publication in npj Digital Medicine, highlighting its advancements in clinical trial analytics [1][3] Group 1: Publication and Research Findings - The paper demonstrates how NetraAI utilizes explainable AI to identify patient subpopulations that enhance therapeutic responses in clinical trials, specifically using data from a Phase II ketamine trial for treatment-resistant depression [2][3] - The research was co-authored by experts from the National Institute of Mental Health and NetraMark, showcasing a collaborative effort in advancing AI applications in clinical settings [3] - The publication emphasizes the integration of advanced modeling techniques within NetraAI, which aims to improve clinical trial decision-making and reduce placebo effects [4] Group 2: Technology and Methodology - NetraAI is designed to differentiate between explainable and unexplainable patient subsets, addressing issues of overfitting that can lead to inaccurate insights in clinical trials [6] - The platform employs a novel topology-based algorithm that allows for effective segmentation of patient data, enhancing the accuracy of treatment efficacy assessments [7] - By focusing on smaller datasets, NetraAI aims to improve the chances of clinical trial success through better patient classification and treatment response predictions [6][7]

5 Ways AI Will Transform The Manager Role In 2026The leaders who succeed in the coming year won't be machine learning experts. They'll be the ones who grasp how AI transforms human work and can guide their teams through that shift with clarity, empathy and humility.Here are five ways AI will transform the role of manager in 2026. https://t.co/IUlDKo0CKD ...

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. https://t.co/X8z3SMqptRAvi Chawla (@_avichawla):If you need a video guide to Karpathy's nanochat, check out Stanford's CS336!It covers:- Tokenization- Resource Accounting- Pretraining- Finetuning (SFT/RLHF)- Overview of Key Architectures- Working with GPUs- Kernels and Tritons- Parallelism- Scaling Laws- Inference https://t.co/7oCl2Od1fO ...

Core Insights - Castellum, Inc. has been awarded multiple contracts under the Missile Defense Agency's SHIELD Multiple Award IDIQ contract vehicle, emphasizing its commitment to advanced defense solutions [1][3][4] - The contracts will enhance the capabilities of the U.S. military by providing innovative, AI-enabled technologies for multi-domain defense against various threats [2][4] Company Overview - Castellum, Inc. specializes in cybersecurity, electronic warfare, software engineering, and C5ISR services, primarily focused on federal government contracts [5] - The company operates through subsidiaries and joint ventures, enhancing its ability to deliver cutting-edge technology solutions [3][4] Contract Details - The awarded contracts will support the development of a multi-domain defense system capable of addressing threats from ballistic, hypersonic, and cruise missiles, as well as other advanced aerial attacks [1][2] - The initiative aims to ensure layered protection against diverse threats, including air, missile, space, cyber, and hybrid threats [1] Strategic Importance - The contracts are viewed as strategic wins for Castellum, reflecting the successful execution of its organic growth strategy and positioning the company to support the Department of War effectively [4] - The focus on rapid delivery and innovative capabilities is expected to enhance the readiness and defensive posture of the U.S. [2][4]

The leaders who succeed in the coming year won't be machine learning experts. They'll be the ones who grasp how AI transforms human work and can guide their teams through that shift with clarity, empathy and humility. Here are five ways AI will transform the role of manager in 2026.Read more: https://t.co/IUlDKo0CKD ...

The leaders who succeed in the coming year won't be machine learning experts. They'll be the ones who grasp how AI transforms human work and can guide their teams through that shift with clarity, empathy and humility. Here are five ways AI will transform the role of manager in 2026.Read more: https://t.co/IUlDKo0CKD ...

Market Overview - The Decision Intelligence Market was valued at USD 18.08 billion in 2025 and is projected to reach USD 74.23 billion by 2033, with a CAGR of 19.31% from 2026 to 2033 [1][12]. Growth Drivers - The market growth is driven by the increasing amount of data generated across industries, the rising adoption of AI and ML technologies, and the demand for real-time insights to support strategic decision-making [1]. - The transition to cloud-based solutions is enhancing the scalability and efficiency of decision intelligence tools, allowing businesses to manage large datasets and complex algorithms effectively [3]. Challenges - A significant barrier to the adoption of decision intelligence solutions is the shortage of skilled professionals in AI, machine learning, and advanced analytics, leading to a notable skills gap in the workforce [4]. Segmentation Analysis By Application - The decision automation segment holds the largest revenue share in 2025, utilizing AI and data to enhance decision-making across sectors [5]. - The decision support segment is expected to have the highest CAGR during the forecast period, leveraging organizational information systems for data analysis [5]. By Enterprise Type - Large enterprises dominated the market with a 74.5% share in 2025, driven by high consumer engagement and comprehensive data analysis [7]. - The Small & Medium Enterprises (SMEs) segment is anticipated to grow at the highest CAGR, recognizing the importance of data-driven decision-making [7]. By Industry - The BFSI segment led the market in 2025, benefiting from improved management of large transactional datasets [8]. - The IT & Telecom segment is projected to experience the highest CAGR, driven by the rise of data availability and the adoption of advanced technologies [8]. Regional Insights - North America held the largest revenue share of 46.2% in 2025, supported by technological advancements and investments from leading companies like IBM, Google, and Microsoft [9]. - The Asia Pacific region is expected to see strong growth due to increasing digitalization and advancements in analytical and AI technologies [9].

This founder was a pharmacist first. She was so frustrated by data entry and faxes, she quit to launch an AI startup.Eunice Qu's solution: Asepha, which uses machine learning to process handwritten prescriptions, verify codes, and handle paper faxes (yes, they still exist).Read more: https://t.co/5OqSp7jmnJ #ForbesUnder30 (Photo: Sebastian Nevols for Forbes) ...