Core Insights - The D2L AI in Education survey indicates a rising confidence among educators in utilizing AI, but highlights a significant demand for clearer institutional policies regarding AI usage [1][2][6]. Group 1: Educator Confidence and AI Adoption - 74% of educators express the need for a clear AI policy, yet only 46% report having received explicit guidelines from their institutions [2]. - 64% of educators have access to paid AI tools, with 63% indicating an increase in usage this academic year [8]. - 37% of educators feel more confident using AI compared to the previous year [8]. Group 2: Efficiency and Time-Saving - Educators using AI-enabled learning management systems (LMS) report significant time savings, with 85% experiencing efficiency compared to 51% of those not using such tools [3]. - Among educators who use AI, 52% report some time savings, while 40% report no time savings, and 8% claim that AI adds time to their workweek [4]. Group 3: Institutional Guidance and Regional Variations - Only 29% of educators have received updated AI guidance this academic year, with those in the South (38%) and Northeast (30%) more likely to receive guidance compared to the Midwest (15%) [5]. Group 4: Academic Integrity Concerns - 46% of educators express concerns about students' overreliance on AI, and 60% have redesigned assessments to maintain academic integrity, particularly among Gen Z and Millennial educators [6].

Core Insights - OpenText has introduced new cybersecurity capabilities aimed at integrating AI into enterprise security operations, enhancing governance and compliance across various domains [2][3]. Cybersecurity Innovations - The new features include OpenText Core Threat Detection and Response for behavioral analytics, OpenText Core Identity Foundation for advanced permission settings, and OpenText Application Security Aviator for auto-remediation during application testing [2][3]. - These innovations are part of OpenText Cloud Editions 25.4 and are designed to help organizations manage security more effectively while ensuring compliance with regulations such as GDPR, HIPAA, and PCI DSS [2][4]. AI Integration - The company emphasizes the need for enterprises to leverage AI's speed without compromising security, providing tools for security and IT teams to operate more efficiently [3]. - OpenText's solutions aim to unify identity management across complex environments and enhance managed detection and response capabilities [3][7]. Data Privacy and Protection - OpenText Data Privacy and Protection offers advanced encryption services to safeguard sensitive data throughout its lifecycle, ensuring that AI applications operate within a secure framework [7][8]. - The company also provides Managed Security Services to assist organizations in threat detection and compliance with regulatory requirements [7][8]. Market Position - OpenText positions itself as a leader in secure information management for AI, catering to organizations of all sizes with a comprehensive suite of cybersecurity solutions [9][8].

Core Insights - Commvault has launched Data Rooms, a secure environment for enterprises to connect trusted backup data to AI platforms, facilitating the transformation of backup data into AI-ready assets without increasing risk or complexity [1][4][5] Group 1: Product Offering - Data Rooms provide governed, self-service access to backup data, enabling authorized users to locate and prepare data from both on-premises and cloud environments [4][5] - The offering includes built-in governance features such as classification, sensitivity tagging, and audit trails, ensuring that data remains protected and compliant [4][9] - Data Rooms operate within a zero-trust architecture, utilizing role-based access controls and encryption to safeguard data during access and transit [4][5] Group 2: Market Context - As organizations accelerate AI adoption, many face challenges in making their data accessible and trustworthy, with nearly 75% of IT leaders expressing concerns about increased vulnerability to cyberattacks due to AI [2][5] - The traditional ETL workflow for data preparation is time-consuming and can introduce compliance risks, highlighting the need for solutions like Data Rooms [2][3] Group 3: Strategic Importance - Enterprises are recognizing the value of historical data as a strategic asset, and Commvault's Data Rooms enable them to harness this data for AI initiatives, unlocking new opportunities for innovation and growth [7][9] - The offering aims to bridge the gap between data protection and data activation, allowing organizations to operationalize AI more effectively [5][9] Group 4: Availability and Future Plans - Commvault Data Rooms are currently in early access, with general availability expected in early 2026, and pricing details to be announced at that time [8]

Accessibility StatementSkip Navigation Transaction will expand global compensation management offering to address the needs of the dynamic talent market ROSELAND, N.J., Oct. 29, 2025 /PRNewswire/ -- ADP® (Nasdaq: ADP), a global leader in HR and payroll solutions, today announced that it has acquired Pequity, an innovative compensation management software provider founded in 2019. This acquisition will broaden the tools ADP offers to support the complex compensation planning needs of its mid-size, enterpri ...

Core Insights - Tecsys Inc. has been recognized as one of the 2025 Best Workplaces in Quebec by Great Place to Work, marking the second consecutive year for this recognition [1][2] - The company achieved an 84% Trust Index score, significantly exceeding the 65% certification threshold required for this honor [2] - Tecsys has fostered a digital-first workplace model, resulting in high employee retention and strong internal mobility, which supports individual growth and team success [3][4] Company Overview - Tecsys is a global provider of advanced supply chain solutions, focusing on innovation and customer success [5] - The company offers a range of cloud solutions across various industries, including healthcare and distribution, utilizing the Itopia low-code application platform [5] - Tecsys is publicly traded on the Toronto Stock Exchange under the ticker symbol TCS [5]

Core Insights - Infosys has announced a strategic collaboration with Metro Bank and Workday to modernize Metro Bank's finance operations, transitioning from legacy systems to a unified, cloud-native platform [1][9] - The collaboration aims to streamline business processes, centralize financial data, and automate key functions, enhancing decision-making and supporting future growth for Metro Bank [2][3] Company Overview - Infosys is recognized as a global leader in next-generation digital services and consulting, with over 320,000 employees dedicated to amplifying human potential and facilitating digital transformation for clients in 59 countries [5] - Workday is an AI platform utilized by more than 11,000 organizations globally, including over 60% of the Fortune 500, focusing on managing people, money, and agents [4] Strategic Goals - The implementation of Workday solutions will accelerate financial closing and reporting, strengthen governance, and improve risk management through enhanced controls and audit trails [2] - Metro Bank's partnership with Infosys and Workday is part of a long-term growth strategy aimed at unifying core finance operations and simplifying daily operations for employees [3]

Core Insights - Commvault Systems, Inc. is a key player in the computer software industry, focusing on data protection and information management solutions, with a cloud-first, AI-enabled cyber resilience platform [1] Financial Performance - For the quarter ending October 28, 2025, Commvault reported an EPS of $0.32, missing the estimated $0.93, resulting in a negative surprise of 3.19% [2][6] - Revenue for the quarter was approximately $276.2 million, exceeding the estimated $273.3 million, marking an 18% increase from $233.28 million reported in the same period last year [3][6] - The company achieved over $1 billion in annualized recurring revenue (ARR) ahead of its March 2026 target, with operating cash flow of $77 million and free cash flow of $74 million [4][6] Valuation Metrics - Commvault's P/E ratio is approximately 78.80, with a price-to-sales ratio of about 5.78 and an enterprise value to sales ratio around 5.64, indicating high market expectations for future growth [5]

Core Insights - Cisco has introduced significant advancements to enhance secure and scalable AI across various market segments, including the launch of the Cisco N9100, the first NVIDIA partner-developed data center switch based on NVIDIA Spectrum-X Ethernet switch silicon [3][4] - The collaboration between Cisco and NVIDIA aims to provide customers with a flexible and interoperable architecture for building, managing, and securing AI infrastructure at scale, catering to neocloud, enterprise, and telecom customers [3][5] Product Innovations - The Cisco N9100 series switches will be available for order before the end of the year, offering a choice between Cisco NX-OS or SONiC operating systems, enhancing Ethernet capabilities for AI networks [4][5] - Cisco's Secure AI Factory with NVIDIA focuses on performance, security, and resiliency, integrating new security and observability features to protect AI deployments [5][8] Industry Collaboration - Cisco, NVIDIA, and other telecom partners have unveiled the first AI-native wireless stack for 6G, which aims to support the increasing demand for connected devices and services in the AI era [6][8] - The partnership emphasizes a shared vision of an AI-powered future, with advancements that accelerate AI adoption across enterprises, neoclouds, and telecom providers [6][8] Customer Feedback - Industry leaders have praised Cisco's N9100 series for its ability to simplify operations and enhance performance, highlighting the importance of operational simplicity in scaling AI infrastructure [7][9] - Customers have expressed excitement about the N9100 series and its compliance with NVIDIA Cloud Partner reference architecture, which is expected to streamline deployments and improve efficiency [7][9] Security and Observability - Cisco AI Defense now integrates with NVIDIA NeMo Guardrails to enhance cybersecurity for AI applications, ensuring that sensitive data remains protected within organizational data centers [8] - The integration of Splunk Observability Cloud allows teams to monitor the performance and security of their AI application stack, providing real-time insights into infrastructure health [8] Ecosystem Expansion - Cisco has expanded its ecosystem by validating NVIDIA Run:ai software for intelligent AI workload orchestration and supporting Nutanix solutions for Kubernetes and storage [8] - The collaboration with NVIDIA aligns with the new NVIDIA AI Factory for Government, providing a comprehensive reference design for AI workloads in regulated environments [8]

Core Insights - RADCOM Ltd. has launched its High-Capacity User Analytics solution, enabling telecom operators to process network traffic at up to 400 Gbps on a single server, significantly reducing costs while providing real-time customer insights [1][2]. Technology and Performance - The solution utilizes NVIDIA BlueField-3 DPU to enhance performance by offloading intensive network functions from the CPU, allowing for real-time visibility into increasing data flows [2]. - Field trials indicate that operational costs can be reduced by up to 75% compared to traditional network probes, with savings attributed to licensing, data processing, storage, and energy costs [2]. Applications and Benefits - The solution supports various network and business applications, enabling closed-loop automation and advanced AI-driven analytics for personalized service and improved quality [3]. - It allows operators to capture 100% of traffic with minimal effort and investment, leading to significant storage reductions and enhanced network monitoring capabilities [5][6]. Company Overview - RADCOM specializes in 5G-ready cloud-native network intelligence solutions, offering a suite that includes network visibility, service assurance, and network insights [4].

Core Insights - Cognizant's AI Lab has developed a novel method for fine-tuning large language models (LLMs) using evolution strategies (ES), which promises to reduce training costs and improve accuracy compared to traditional reinforcement learning (RL) methods [3][4]. - The lab has been granted two new U.S. patents, bringing its total to 61, reinforcing its leadership in AI innovations [5][6]. Group 1: AI Innovations - The new research titled "Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning" demonstrates the successful application of ES for fine-tuning LLMs with billions of parameters, marking a significant advancement over RL methods [3][4]. - The ES approach requires less training data and enhances the quality of AI outputs, addressing the limitations of RL, which can be expensive and difficult to scale [4][5]. Group 2: Patent Details - U.S. Patent No. 12,424,335 focuses on AI-based optimized decision-making for epidemiological modeling, utilizing neural networks to predict trends like COVID-19 by integrating LSTM models for case and intervention histories [6]. - U.S. Patent No. 12,406,188 describes a system for evolved data augmentation and selection, which employs population-based search to enhance model robustness and performance with limited datasets [6][7]. Group 3: Future Directions - The AI Lab aims to scale its ES fine-tuning method to optimize the largest available LLMs for various complex tasks, following a 10X speed-up achieved through infrastructure improvements [4][5]. - The lab's mission is to maximize human potential through Decision AI, which combines generative AI, multi-agent architecture, and deep learning to create advanced decision-making systems [8][9].