Latest from Channel Post MEA
Channel Post MEA
5 hours ago
- Business
- Channel Post MEA
Rockwell Automation Releases PointMax I/O to Empower Flexible Industrial System Design
Rockwell Automation has announced the release of PointMax I/O, a flexible remote input/output (I/O) system designed to help manufacturers tackle the growing complexity of modern industrial operations. As manufacturing environments become increasingly dynamic and interconnected, the ability to quickly adapt system architectures is more important than ever. Traditional I/O systems, which rely on extensive wiring and large control cabinets, are becoming harder to scale and maintain as production demands grow and equipment footprints shrink. To keep pace, manufacturers need flexible and efficient solutions that allow for design flexibility without adding unnecessary complexity. PointMax I/O was built to address the real-world constraints manufacturers face on the plant floor. Its modular design supports scalable and easily reconfigurable I/O deployments—freeing engineers from the constraints of rigid, centralized control systems. For both new machine builds and existing equipment, PointMax I/O delivers the flexibility today's fast-paced manufacturing operations demand. 'Customers are looking for smarter, more adaptable solutions that remove friction from system design and maintenance,' says Karthikeyan Mahalingam, product manager at Rockwell Automation. 'PointMax I/O delivers on that need by offering a simpler way to connect devices, gather insights and keep operations running smoothly. It's about giving manufacturers more control and fewer constraints as they scale.' With maximum design freedom and seamless integration with Logix 5000 controllers, PointMax I/O is well suited for high-performance environments that need reliability and real-time communication. It's also built to withstand tough industrial conditions, making it a strong fit for a wide range of applications.
Channel Post MEA
8 hours ago
- Business
- Channel Post MEA
SAS Announces AI Models and Solutions For Health Care Industry, Payer Organizations
SAS has announced a new solution – SAS Health Cost of Care Analytics – targeted to health care payers and providers to support effective decision making about quality and cost of care. Available in July 2025, SAS Health Cost of Care Analytics taps into health claims data and enables health care organizations to construct and analyze claims as episodes of care by stitching together codes and patterns all along a 'care journey' from detection to treatment to care management. The health care analytics solution built on the data and AI platform SAS Viya can enable more cost-effective treatment pathways, reduce unwarranted admissions, decrease the length of hospital stays and more. SAS will introduce SAS Health Cost of Care Analytics and other data and analytic solutions for health care payers and the industry at AHIP 2025 in Las Vegas. Per Gartner, 'Payers increasingly need sophisticated data and analytics to achieve outcomes such as identifying rising risk populations, improving quality measure performance, managing the total cost of care and personalizing experiences.' SAS Health Cost of Care Analytics supports the industry with unique features that include: Flexible definitions for episodes of care. Users can analyze claims as episodes of care using transparent clinical definitions of their choice and detect associations for a holistic patient view. Users can analyze claims as episodes of care using transparent clinical definitions of their choice and detect associations for a holistic patient view. Value and care outcome measurement. The solution categorizes services and their care costs as being value-added or potentially avoidable. Additionally, expected and risk-adjusted costs are automatically calculated and can then be used as quality/efficiency measures or payment metrics. Other quality metrics, such as length of stay, are also captured. The solution categorizes services and their care costs as being value-added or potentially avoidable. Additionally, expected and risk-adjusted costs are automatically calculated and can then be used as quality/efficiency measures or payment metrics. Other quality metrics, such as length of stay, are also captured. Risk-based calculations to compare provider performance. Using medical claim data and applying user-selected rules, the solution attributes episodes of care to providers, facilitating the measurement of cost and quality of care relative to patient severity or to set reimbursement targets. Using medical claim data and applying user-selected rules, the solution attributes episodes of care to providers, facilitating the measurement of cost and quality of care relative to patient severity or to set reimbursement targets. Analytic insights with simplified data management. The product supports data validation and simplified data ingestion into the SAS Health common data model to create data repositories. 'As health care incentives focus in on value, providers and payers must identify the drivers of cost, quality and outcomes to make decisions about protocols and provider contracts,' said Brett Davis, Senior Manager, Health Care Advisory at SAS. 'Going far beyond traditional claims grouping, SAS Health Cost of Care Analytics generates valuable insights to identify variations and opportunities for improvement when assessing financial risk, all while understanding members in more detail.' Ready-made AI models for health care Also new on the market to support payers and providers are ready-made AI models. Complementing its health care solutions portfolio, SAS' AI models are built from decades of expertise in applying scalable and trustworthy AI to real-world use cases and are designed to tackle business challenges with precision and efficiency. The newly available models include: SAS Medication Adherence Risk : Medication adherence has long been a measure of patient health outcomes and a key factor in regulatory quality assessments (e.g., quality ratings for Medicare Advantage, Medicaid and Exchange). SAS Medication Adherence Risk enables managed care organizations to identify where resources are needed for timely and targeted intervention, resulting in enhanced patient engagement, better health outcomes, improved quality metrics and lower health care costs. : Medication adherence has long been a measure of patient health outcomes and a key factor in regulatory quality assessments (e.g., quality ratings for Medicare Advantage, Medicaid and Exchange). SAS Medication Adherence Risk enables managed care organizations to identify where resources are needed for timely and targeted intervention, resulting in enhanced patient engagement, better health outcomes, improved quality metrics and lower health care costs. SAS Document Analysis : The SAS Document Analysis model is an intelligent document processing pipeline focused on extracting contextual information from scanned document images and generating structured data assets. The AI model converts scanned images into summarized data for medical reviewers, allowing them to evaluate records more effectively and efficiently. The SAS Document Analysis model's enhanced analysis of unstructured claims data has already shown a 400% efficiency gain over manual review in one of the largest U.S. health insurers. : The SAS Document Analysis model is an intelligent document processing pipeline focused on extracting contextual information from scanned document images and generating structured data assets. The AI model converts scanned images into summarized data for medical reviewers, allowing them to evaluate records more effectively and efficiently. The SAS Document Analysis model's enhanced analysis of unstructured claims data has already shown a 400% efficiency gain over manual review in one of the largest U.S. health insurers. SAS Payment Integrity for Health Care Detect and Prevent: The payment integrity models offer capabilities for addressing issues with health billing errors and claim discrepancies, detecting fraud and preventing improper claims. The models are designed to accelerate implementation of SAS solutions that health care programs within private insurance plans and government-funded programs use to meet regulatory compliance requirements, operate transparently, and more efficiently manage and contain costs associated with fraud, waste and abuse.
Channel Post MEA
11 hours ago
- Business
- Channel Post MEA
Infosys And Adobe Join Forces For AI-Driven Marketing Transformation
Infosys and Adobe have announced a strategic collaboration to jointly transform the marketing life cycle of global brands with AI. Together, they will bring capabilities from Infosys Aster and Adobe to unify customer experience at scale, personalize content to enable business growth while also streamlining workflows for efficiency. Infosys Aster is a set of AI-amplified marketing services, solutions and platforms that helps enterprises transform marketing into effective customer-champions and growth-partners. With creative services, experience design, digital commerce, MarTech orchestration, performance marketing and marketing operations, Infosys Aster brings AI-powered agility to the marketing value chain. Adobe empowers brands to deliver personalized, data-driven customer journeys across every touchpoint – combining content, data, and AI to create seamless, real-time experiences that drive loyalty and growth. Infosys CMO Radar 2024 revealed that AI-fluent CMOs are becoming a transformative force in business with 62 percent see their influence growing over broader corporate decisions. Together, Infosys and Adobe will orchestrate enterprise-grade marketing solutions, amplified by AI, that enables CMOs to: Deliver Unified Experiences at Scale. Marketers can deliver unified brand experiences, across channels, touchpoints, and personas, that are timely, relevant, and engaging regardless of scale. Adobe's Real-Time CDP and GenStudio enable effective content creation, segmentation, and experience delivery. Infosys Aster™ brings industry expertise and AI-amplified agility to marketing. This enables marketers to respond to changing customer behaviors, market trends, and business needs while orchestrating unified brand experiences across customers, channels, and markets. For example, a communication service provider used Adobe Marketing Cloud with Infosys Aster™ services to deliver in-app experiences and custom-target offers to millions of customers that were also amplified with matching multi-channel promotions. Digital engagement soared by 40 percent. Personalize Content to Catalyze Growth. Launching hyper-targeted personalized campaigns across markets and segments with localized, scalable content strategies will be easier. With Adobe technologies, brands can deliver personalized content, drive real-time promotion and pricing based on customer behavior and cross-channel engagement insights. Infosys Aster helps create a shared digital foundation, by integrating MarTech and enterprise systems – crucial for optimizing the content delivery strategy. For example, a retail jewelry brand developed a personalized campaign with Adobe Experience Platform and Adobe Journey Optimizer and then harnessed Infosys Aster to create immersive experiences with dynamic 3D modelling and optimize content delivery. The result was a 27 percent improvement in campaign performance. Streamline Workflows for Efficiency. The integrated solution brings autonomous agents to plan, execute and optimize marketing tasks and workflows. With Infosys Aster's AI-powered orchestration of Adobe technologies, marketers can automate content creation, streamline campaign workflows, improve channel efficiency, and increase campaign efficacy. A technology giant, for example, rebuilt their MarTech core with Adobe digital marketing solutions along with customer 360° views and analytics from Infosys Aster improving their workflows, and driving up campaign go-live efficiencies by 20 percent. 'AI, for marketing, has very quickly evolved from productivity- and creativity-amplifier to a true navigator for marketers. CMOs know that AI can be their partner in propelling business growth while helping them navigate the complexities of scaling deeply personalized content and simultaneously unifying the brand experience,' said Sumit Virmani, EVP and Global Chief Marketing Officer, Infosys. 'This joint offering is integral to the customer experience personalization approach that we are driving at Infosys, and is positioned to be a foundational capability for CMOs to drive the growth-focused marketing they've always aspired to.' Infosys Aster AI-amplified marketing suite and Adobe solutions uniquely enable the CMO to partner with the CIO to advocate for customer-first, AI-first experiences, and marketing. The integrated solution leads the way with a 'responsible by design' approach to AI practices that strengthen brand integrity and foster trust with customers. 'In an attention-based economy where consumers and businesses are inundated with content across every channel, impactful creative personalized at scale is what will enable marketers to break through,' said Anil Chakravarthy, President, Digital Experience Business, Adobe. 'Adobe and Infosys are bringing together creativity, marketing and AI innovations to transform Customer Experience Orchestration, streamlining the creation and delivery of compelling experiences across every touchpoint and channel.' Douglas Hayward, Senior Research Director, Worldwide Customer Experience Services and Strategies, IDC, said, 'Today's CMOs need AI-enabled tools that understand consumers and business customers as individuals with context-specific needs, creating personalized on-brand offerings and messages that generate value for brand and customer alike. To drive sustainable value for both the brand and its customers, CMOs must plan, deploy and manage these tools rigorously across the entire customer lifecycle. That requires a new generation of AI-native marketing tools and services from both software makers and marketing services companies. This collaboration between Infosys Aster and Adobe aims to accelerate marketing excellence with AI and is in the right direction to address customer needs.'
Channel Post MEA
11 hours ago
- Business
- Channel Post MEA
NTT Data: CEOs And CISOs Not Aligned On GenAI Adoption
NTT DATA has launched its new report, 'The AI Security Balancing Act: From Risk to Innovation,' highlighting the opportunities and risks AI presents in cybersecurity. The findings show a misalignment among C-Suite leaders when it comes to business goals and operational readiness for GenAI deployment. The report, which includes data from an NTT DATA survey of more than 2,300 senior GenAI decision makers, comprising 1,500 C-Suite leaders across 34 countries, found that while CEOs and business leaders are committed to GenAI adoption, CISOs and operational leaders lack the necessary guidance, clarity and resources to fully address security risks and infrastructure challenges associated with deployment. The C-Suite disconnect Nearly all (99%) C-Suite executives are planning further GenAI investments over the next two years, with 67% of CEOs planning significant commitments. In parallel, 95% of CIOs and CTOs report that GenAI has already driven, or will drive, greater cybersecurity investments, with organizations ranking improved security as one of the top three business benefits realized from GenAI deployment in the last 12 months. Yet, even with this optimism, there is a notable disconnect between strategic ambitions and operational execution with nearly half of CISOs (45%) expressing negative sentiments toward GenAI adoption. More than half (54%) of CISOs say internal guidelines or policies on GenAI responsibility are unclear, yet only 20% of CEOs share the same concern – revealing a stark gap in executive alignment. Despite feeling cautious about the deployment of GenAI, security teams still acknowledge its business value. In fact, 81% of senior IT security leaders with negative sentiments still agree GenAI will boost efficiency and impact the bottom-line. Organizational operations not ready for GenAI NTT DATA's research further reveals a critical gap between leadership's vision and the capabilities of their teams. While 97% of CISOs identify as decision makers on GenAI, 69% acknowledge that their teams lack the necessary skills to work with the technology. In addition, only 38% of CISOs say their GenAI and cybersecurity strategies are aligned compared to 51% of CEOs. Adding to the complexity, 72% of organizations surveyed still lack a formal GenAI usage policy and just 24% of CISOs strongly agree that their organization has a robust framework for balancing risk with value creation. Legacy tech limiting GenAI adoption Beyond internal misalignment, 88% of security leaders said legacy infrastructure is greatly affecting business agility and GenAI readiness, with modernizing IoT, 5G and edge computing identified as essential for future progress. To navigate these obstacles, 64% of CISOs are prioritizing co-innovation with strategic IT partners rather than relying on standalone AI solutions. Notably, security leaders #1 top criteria when assessing GenAI technology partners is end-to-end GenAI service offerings. 'As organizations accelerate GenAI adoption, cybersecurity must be embedded from the outset to reinforce resilience. While CEOs champion innovation, ensuring seamless collaboration between cybersecurity and business strategy is critical to mitigating emerging risks,' said Sheetal Mehta, Senior Vice President and Global Head of Cybersecurity at NTT DATA, Inc. 'A secure and scalable approach to GenAI requires proactive alignment, modern infrastructure and trusted co-innovation to protect enterprises from emerging threats while unlocking AI's full potential.' 'Collaboration is highly valued by line-of-business leaders in their relationships with CISOs. However, disconnects remain, with gaps between the organization's desired risk posture and its current cybersecurity capabilities,' said Craig Robinson, Research Vice President, Security Services at IDC. 'While the use of GenAI clearly provides benefits to the enterprise, CISOs and Global Risk and Compliance leaders struggle to communicate the need for proper governance and guardrails, making alignment with business leaders essential for implementation.'
Channel Post MEA
a day ago
- Business
- Channel Post MEA
SentinelOne Is A Launch Partner For AWS Security Hub
SentinelOne has announced that it is a launch partner for the new AWS Security Hub, unveiled at re:Inforce and available in preview to AWS customers beginning today. The announcement builds on a long-standing collaboration between the two companies to provide leading AI-powered cybersecurity solutions for customers running and scaling their businesses on AWS. AWS Security Hub helps customers identify their most critical security issues and respond quickly to reduce risks by correlating signals from multiple sources such as threat detection and vulnerability management. Acting as a security command center, it brings everything together into one place, providing a clearer picture of an organization's security status while eliminating the need to manually gather information from multiple security tools. As a launch partner, highly enriched and correlated data findings in the AWS Security Hub can be ingested into SentinelOne's Singularity Platform for AI-powered detection and response leveraging agentic AI capabilities in SentinelOne's Purple AI as well as automated security workflows with Hyperautomation. 'Working with AWS is one of the most valuable ways we plan to help customers meet their evolving security goals,' said Ric Smith, President of Product, Technology, and Operations, SentinelOne. 'As a launch partner for AWS Security Hub, our collaboration brings deep integrations that deliver the clarity, speed, and automation security teams need to defend complex cloud environments.' Through the collaboration, SentinelOne has developed integrations across more than 20 key AWS services, allowing organizations to simplify security operations, improve visibility, and stay ahead of emerging threats. As an AWS Partner, SentinelOne works closely with AWS to continually innovate, delivering new features that address today's most complex security challenges so customers can focus on driving their business forward, knowing their AWS workloads are protected.
