Progress announced new powerful capabilities and enhancements in the latest release of Progress® Sitefinity®.
Intel announced its new Edge Platform, a modular, open software platform enabling enterprises to develop, deploy, run, secure, and manage edge and AI applications at scale with cloud-like simplicity.
Together, these capabilities will accelerate time-to-scale deployment for enterprises, contributing to improved total cost of ownership (TCO).
Pallavi Mahajan, Intel corporate vice president and general manager of Network and Edge Group Software, aid: “The edge is the next frontier of digital transformation, being further fueled by AI. We are building on our strong customer base in the market and consolidating our years of software initiatives to the next level in delivering a complete edge-native platform, which is needed to enable infrastructure, applications and efficient AI deployments at scale. Our modular platform is exactly that, driving optimal edge infrastructure performance and streamlining application management for enterprises, giving them both improved competitiveness and improved total cost of ownership.”
The open, modular platform will enable ready-made solutions across industries. By leveraging Intel’s edge experience and broad ecosystem to make the most in-demand edge use cases available, enterprises can purchase a complete solution or build their own in existing environments. Enterprise developers can build edge-native AI applications on new or existing infrastructure, and they can manage edge solutions end-to-end for their specific use cases.
The platform provides infrastructure management and AI application development capabilities that can integrate into existing software stacks via open standards.
The platform’s edge infrastructure has built-in OpenVINO™ AI inference runtime for edge AI as well as a secure, policy-based automation of IT and OT management tasks. Intel’s OpenVINO has evolved over the past five years to help developers optimize applications for low latency, low power and deployment on existing hardware specifically at the edge, enabling standard hardware already deployed to run AI applications efficiently without costly upgrades or refactoring.
The platform has a single dashboard that enables IT and DevOps personnel to provision, onboard and manage a fleet of edge nodes, including edge servers, industrial controls, HMI devices and others. This is accomplished securely and remotely with zero touch, across day 0/1/2 operations.
Furthermore, closed-loop automation enables operators to leverage policies and observability to trigger business logic from operational alerts at the edge, optimizing operations across the network and improving TCO.
Deep, heterogeneous hardware awareness gives best-in-class capabilities to allocate resources for optimal efficiency, as well as zero-trust security features co-developed for Intel architecture.
The platform will provide enterprise developers with access to powerful AI capabilities and tools, including:
- Finely tunable application orchestration for remotely placing latency-sensitive workloads on exactly the right device for best application performance.
- Powerful low-code to high-code AI model/app development with hybrid AI capabilities from the edge to cloud.
- A range of horizontal edge services like data annotation services that leverage Intel® Geti™ to build AI models, as well as vertical industry-specific edge services to improve results in common industrial use cases using video and time series information and digital twin capabilities to track and manage environments.
Industry News
Red Hat announced the general availability of Red Hat Enterprise Linux 9.5, the latest version of the enterprise Linux platform.
Securiti announced a new solution - Security for AI Copilots in SaaS apps.
Spectro Cloud completed a $75 million Series C funding round led by Growth Equity at Goldman Sachs Alternatives with participation from existing Spectro Cloud investors.
The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, has announced significant momentum around cloud native training and certifications with the addition of three new project-centric certifications and a series of new Platform Engineering-specific certifications:
Red Hat announced the latest version of Red Hat OpenShift AI, its artificial intelligence (AI) and machine learning (ML) platform built on Red Hat OpenShift that enables enterprises to create and deliver AI-enabled applications at scale across the hybrid cloud.
Salesforce announced agentic lifecycle management tools to automate Agentforce testing, prototype agents in secure Sandbox environments, and transparently manage usage at scale.
OpenText™ unveiled Cloud Editions (CE) 24.4, presenting a suite of transformative advancements in Business Cloud, AI, and Technology to empower the future of AI-driven knowledge work.
Red Hat announced new capabilities and enhancements for Red Hat Developer Hub, Red Hat’s enterprise-grade developer portal based on the Backstage project.
Pegasystems announced the availability of new AI-driven legacy discovery capabilities in Pega GenAI Blueprint™ to accelerate the daunting task of modernizing legacy systems that hold organizations back.
Tricentis launched enhanced cloud capabilities for its flagship solution, Tricentis Tosca, bringing enterprise-ready end-to-end test automation to the cloud.
Rafay Systems announced new platform advancements that help enterprises and GPU cloud providers deliver developer-friendly consumption workflows for GPU infrastructure.
Apiiro introduced Code-to-Runtime, a new capability using Apiiro’s deep code analysis (DCA) technology to map software architecture and trace all types of software components including APIs, open source software (OSS), and containers to code owners while enriching it with business impact.
Zesty announced the launch of Kompass, its automated Kubernetes optimization platform.
MacStadium announced the launch of Orka Engine, the latest addition to its Orka product line.