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25/06/2026

Akamai Unveils Agentic Security Framework to Power Trusted AI-Driven Interactions and Commerce

Unified framework secures and scales interactions across the emerging AI-driven economy

Know Your Agent protocol verifies identity and human attribution by linking AI agents to authorized human users

Real-time decisioning layer connects identity and behavior to automate secure digital commerce

Distributed edge enforcement protects performance while validating every automated request

Enhanced visibility allows organizations to distinguish, manage, and monetize agentic traffic.

As AI agents increasingly act on behalf of users, every request raises critical questions of identity, intent, and trust. To address this, Akamai announced its unified agentic framework for its Bot & Agent Control solutions, which connects identity, observability, trust, and edge security into a single, real-time decisioning layer to power scalable AI-driven interactions at the edge.

Six tightly integrated pillars form the framework, which are delivered through a coordinated ecosystem of partners:

Verified identity and human attribution: Through its collaboration with Visa, Akamai is establishing a trusted foundation by authenticating AI agents for secure, permissioned transactions. Integrations with frameworks like Visa’s Trusted Agent Protocol are helping define how agents operate in payment environments, setting clearer standards for authorization, permissions, and transaction-level trust. Akamai is also collaborating with Skyfire and Experian to strengthen trusted AI agent identity through the “Know Your Agent” (KYA) framework, which provides a standardized way for agents to declare identity, origin, and intent, linking them to the platforms they operate on and the users they represent. KYA can help ensure that an AI agent is not only legitimate but is also verified as acting on behalf of a specific, authorized individual. This provides the accountability required for merchants to process automated transactions safely.

“Without trusted identity and explicit permissioning, AI agents cannot participate in commerce at scale,” said Rubail Birwadker, SVP, Head of Growth Products and Partnerships, Visa. “Visa’s Trusted Agent Protocol provides the identity layer that defines how agents are authenticated, authorized, and trusted at the transaction level so businesses and consumers can transact with confidence.”

“AI agents are quickly becoming part of digital commerce, but trust will determine how far and how fast adoption grows,” said Kathleen Peters, Chief Innovation Officer at Experian. “With the Experian Agent Trust framework, we are helping businesses bring more transparency and accountability to AI-driven interactions by verifying identities, assessing risk, and strengthening confidence in every transaction. Our collaboration with Akamai and other ecosystem leaders reflects the industry’s shared commitment to building a secure foundation for agentic commerce that consumers and businesses can trust in real time.”

“AI agents can’t participate in the economy without trusted identity and the ability to transact,” said Amir Sarhangi, Co-Founder and CEO of Skyfire. “Skyfire provides that foundation — enabling agents to authenticate, operate within policy, and access global payment rails. With Akamai, we’re bringing that trust layer to the edge, so enterprises can securely enable trusted agents without re-architecting their existing systems.”

User-centric authentication: To maintain security during the handoff between a human and an AI agent, Akamai integrates with identity providers such as Auth0 and Ping Identity. These integrations allow businesses to apply existing security policies, such as behavioral analysis and multi-factor authentication, to the AI agents their customers use. This ensures that the agent’s actions remain consistent with the user’s established identity, behavior, and intent.

“AI agents introduce a new trust challenge because session-based trust alone is no longer sufficient. Organizations need to understand who they represent, what agents are allowed to do, and how their actions are governed in real time,” said Loren Russon, SVP Product Management, Ping Identity. “By combining Ping’s runtime identity capabilities with Akamai’s edge enforcement and visibility, enterprises can extend identity and access controls to AI-driven interactions with stronger accountability and oversight.”

Adaptive trust analysis: The framework enables organizations to dynamically determine the trustworthiness and intent behind every interaction across browsers, bots, and agents. This shifts beyond binary decision-making toward a spectrum of trust that puts the user at the center, allowing customers to identify which interactions support business outcomes and which introduce abuse, fraud, or operational risk.

Edge-based enforcement: Security and performance requirements for AI interactions are being met through Akamai’s distributed edge network. By utilizing high-performance compute, Akamai can evaluate the risk and intent of an agentic request instantly. Processing these decisions at the edge, Akamai helps businesses maintain security and control without compromising the speed of the user experience.

Content monetization and value exchange: As AI models and agents consume more web content, the framework provides a path for fair compensation. Through partnerships with TollBit and Skyfire, Akamai enables publishers and content owners to negotiate access and facilitate tokenized, pay-per-request models. This allows businesses to monetize their data while providing AI agents with the licensed access they need to function.

“AI agents are the new visitors and shoppers of the internet, and websites need a way to transact with them,” said Tosh*t Panigrahi, Co-Founder and CEO of TollBit. “By using Akamai’s ability to identify agentic traffic at the edge and redirect it to TollBit’s Agent Site, businesses can send agents to a dedicated, agent-optimized destination where they enforce their own access rules and turn it into a new revenue stream, making AI traffic a source of value rather than a cost.”

Operational visibility and traffic analysis: Through TrafficPeak and our industry-leading web security analytics, Akamai provides organizations with a unified view of their web traffic, distinguishing between human users, beneficial AI agents, and malicious bots. These high-scale log analyses allow security and business teams to observe how agents interact with their sites over time, providing the data necessary to refine access controls and commercial strategies.
“AI agents are replacing clicks, acting and handling commerce for us. For that to work, businesses need to recognize not just the agent, but who is behind it and what it’s trying to do,” said Patrick Sullivan, VP, CTO of Security Strategy, Akamai. “We’ve built this so that identity informs visibility, visibility drives trust, and trust powers the decisions that let companies safely grow and monetize these new AI interactions. We’re giving businesses the confidence to open their doors to AI without compromising security.”

Across its ecosystem, Akamai is helping businesses move toward a unified approach to managing bots, agents, and users. The result is a scalable model where every interaction is verified, understood, and acted on in real time.

25/06/2026

Dassault Systèmes Announces 16th AAKRUTI Innovation Competition for Students Worldwide, Inspiring Innovations to Solve Global Challenges

One of the world’s largest design competitions for students focuses on innovating solutions around four key themes: robotics, local community problems, healthcare and mobility
Winners will receive a total of $20,000 in cash prizes along with SOLIDWORKS licenses, with overall annual benefits nearing $1 million through certifications, licenses, and rewards
Over 75,000 students from more than 1,000 institutes and 37 countries have participated in the annual contest since inception.

Dassault Systèmes has announced the launch of the 16th edition of AAKRUTI Innovation Competition, its flagship design and innovation competition for students worldwide. Building on its legacy of nurturing future engineers and innovators, this year’s edition introduces new thematic areas, enhanced rewards and expanded opportunities for skill development through industry-recognized certifications and digital applications.

AAKRUTI 2026–27 will focus on four key themes that reflect evolving global priorities: robotics, local community problems, healthcare innovation and mobility. These themes are designed to encourage students to apply design thinking and engineering principles to solve real-world challenges with measurable impact. Students will use Dassault Systèmes’ 3DEXPERIENCE platform and SOLIDWORKS applications to develop their projects.

This edition also sees a significant increase in rewards. A total of $20,000 in cash prizes, along with SOLIDWORKS licenses, will be awarded to winners. In addition, all participants will gain access to Dassault Systèmes’ industry-leading design ecosystem including SOLIDWORKS licenses, certification opportunities (CSWA, CSWP), and the 3DEXPERIENCE platform, enabling hands-on learning and real-world simulation capabilities. In the previous edition, over 2,000 certifications were awarded amounting to nearly $396,000 in upskilling value.

Dassault Systèmes continues to invest significantly in building future talent, with close to $1 million worth of certifications, licenses, and prizes enabled annually through AAKRUTI.

Since its inception, AAKRUTI has witnessed participation from over 75,000 students across more than 1,000 institutes and 37 countries. The program has also demonstrated strong industry relevance, with 500 alumni and winners currently working across leading global organizations, based on recent survey insights.

The competition journey will culminate in the Global Finale at Dassault Systèmes’ 3DEXPERIENCE World 2027 event in Nashville, offering finalists a global stage to showcase their innovations.
AAKRUTI registration link:

AAKRUTI aims to transcend geographical boundaries by inviting aspiring student designers and innovators from around the globe to join in shaping tomorrow's solutions. Since its establishment in 2011, over 35,000 students from across India have participated.

25/06/2026

Dassault Systemes.

OUTSCALE EXPERIENCES 2026: OUTSCALE Strengthens its Sovereign Cloud and AI Foundation for Critical Organizations

AI Factories, Kubernetes, Managed Databases and Quantum Emulation: OUTSCALE Expands its Service Portfolio to Help Enterprises and Institutions Industrialize their Most Critical Workloads.

OUTSCALE, a Dassault Systèmes brand, today brings together its ecosystem at OUTSCALE EXPERIENCES 2026, its annual event dedicated to sovereign Cloud, artificial intelligence and sensitive data protection.

As enterprises and institutions must accelerate their Cloud and AI adoption while maintaining control over their data, infrastructures and intellectual property, OUTSCALE announces four major advances for organizations operating in critical and regulated environments:

AI Factories by OUTSCALE to industrialize AI in a sovereign environment
OUTSCALE Kubernetes as a Service committed to SecNumCloud 3.2 qualification
OUTSCALE Managed Databases, a new product line launching with OUTSCALE Managed NuoDB
A quantum emulator in OUTSCALE Marketplace to prepare for tomorrow's use cases
OUTSCALE also announces a partnership with PariSanté Campus and the 3DEXPERIENCE Lab of Dassault Systèmes, designed to help health tech startups move from idea to industrializable solution on a sovereign, compliant foundation from their very first line of code.

A Distinctive Edge Born from Industrial Rigor
OUTSCALE is the global Cloud and AI operator of Dassault Systèmes, the world leader in virtual twins and industrial AI. Its solutions serve the most demanding industrial organizations on the planet - companies that require continuous innovation, the design of complex and sustainable products, the protection of their intellectual property, and a sovereign Cloud with highly specific capabilities.

These requirements raise the bar across the board and drive OUTSCALE's technology roadmap toward excellence. Therein lies OUTSCALE's unique position: a virtuous cycle in which the most demanding clients fuel innovation, and where that expertise, that capacity to industrialize, then benefits organizations in regulated markets. What is built for the most exacting clients becomes a competitive advantage for critical markets. From this flows a singular vision, unique technologies, a distinctive position in sovereign Cloud and AI, and the AI Factories that OUTSCALE is presenting today.

OUTSCALE Industrializes Sovereign AI with its AI Factories
OUTSCALE announces the extension of its AI Factory capabilities to enterprise and institutional clients.

Artificial intelligence cannot be adequately served by a traditional IaaS Cloud. The intensive compute it requires calls for a dedicated, purpose-built infrastructure - the AI Factory - designed for training and operating models at scale. OUTSCALE combines this with critical guarantees for sensitive organizations: sovereignty, ensured in particular through data non-persistence; resource optimization and usage efficiency; and the ability to scale on global resources, as close as possible to each organization's needs.

This capability is part of the Dassault Systèmes AI Factories strategy, operated by OUTSCALE within its sovereign and sustainable Cloud infrastructure. It is designed to enable organizations to develop, train, fine-tune and operate their artificial intelligence models in controlled, high-performance, sovereign environments.

These AI Factories were originally built for Dassault Systèmes and are at the core of 3DEXPERIENCE AI. By combining Dassault Systèmes' virtual twin technologies with NVIDIA's AI infrastructure, open models and accelerated compute libraries, they enable the construction of science-validated Industry World Models, as well as new ways of working powered by expert virtual companions on the 3DEXPERIENCE agentic platform. Deployed across three continents as part of Dassault Systèmes' sovereign and sustainable Cloud strategy, they help industry design, simulate and operate complex systems - from biology to materials science and from engineering to manufacturing - while ensuring data confidentiality, intellectual property protection and sovereignty.

Ready at the scale of Dassault Systèmes and purpose-built for 3DEXPERIENCE AI, these AI Factories are now made available by OUTSCALE to institutions and enterprises in regulated markets. What was built for the world leader in virtual twins and industrial AI is now a directly accessible asset for the most demanding organizations.

AI Factories by OUTSCALE address a growing need in sensitive sectors: access to advanced compute power for AI, while ensuring data protection, control of technology environments and preservation of intellectual property.

By combining GPU power, orchestration, Cloud services and a secure environment, OUTSCALE enables organizations to accelerate their AI initiatives without compromise on sovereignty.

OUTSCALE Kubernetes as a Service Committed to SecNumCloud 3.2
Already available, OUTSCALE Kubernetes as a Service (OKS) enables organizations to deploy managed, dedicated and isolated Kubernetes environments within minutes, on OUTSCALE's SecNumCloud-qualified public Cloud infrastructure. Each client benefits from a dedicated cluster, an isolated control plane and the absence of resource sharing with other organizations.

Equipped with autoscaling capabilities and next-generation GPU support, OKS covers the needs of Cloud-native applications, DevOps environments and AI workloads. OUTSCALE today announces its commitment to advance OKS toward SecNumCloud 3.2 certification, marking a new step in extending its trust foundation beyond infrastructure to the platform layers essential for the industrialization of critical applications.

OUTSCALE Launches Managed Databases with OUTSCALE Managed NuoDB
OUTSCALE announces the launch of OUTSCALE Managed Databases, a new line of managed database services designed to simplify the operation of critical data in sovereign environments. The first offering, OUTSCALE Managed NuoDB, is built on Dassault Systèmes' distributed database, whose unique distributed SQL capabilities were designed for natively Cloud environments. It brings to critical applications the availability, resilience and scalability expected of Cloud infrastructure, while reducing operational complexity.

This development illustrates OUTSCALE's path toward a complete Cloud platform strategy - going beyond infrastructure to accelerate transformation, application modernization and data value creation within a fully sovereign framework.

OUTSCALE Marketplace Welcomes a Quantum Emulator
OUTSCALE announces the availability of a quantum emulator in OUTSCALE Marketplace. This experimentation environment enables enterprises and institutions to test their quantum algorithms, familiarize themselves with new computing paradigms and identify the most relevant use cases, without premature investment in specialized infrastructure.

By integrating this capability into its Marketplace, OUTSCALE prepares its clients for the next stages of technological innovation while remaining within a sovereign, secure and operational framework.

Digital Health: OUTSCALE, PariSanté Campus and the 3DEXPERIENCE Lab Join Forces to Build the Next Generation of Health Tech Unicorns
OUTSCALE, PariSanté Campus and the 3DEXPERIENCE Lab of Dassault Systèmes are entering into a partnership designed to give health tech startups the means to move from idea to industrializable solution on a sovereign, compliant foundation from their very first line of code.

The partnership rests on four commitments:

The same Cloud as Dassault Systèmes: access to the OUTSCALE infrastructure that powers the Dassault Systèmes 3DEXPERIENCE platform, SecNumCloud-qualified and HDS-certified - the foundation running the modeling, simulation and collaboration projects of the world's leading industrial companies.
Native AI capabilities: train, deploy and scale models on health data in an environment compliant with regulatory requirements.
Human support through OUTSCALE for Entrepreneurs: Cloud credits, expert mentoring, on-campus events and networking with researchers and institutional stakeholders.
A shared ambition: to build the next French health tech unicorns, credible in the most demanding markets from their very first line of code.
The startups of the PariSanté Campus ecosystem need a robust foundation to move from prototype to industrializable solution without compromising on compliance. By bringing together healthcare institutions, technology companies, sovereign Cloud providers, researchers and entrepreneurs, this collaboration aims to strengthen the European health technology ecosystem and accelerate innovation and industrialization cycles. For patients and industry stakeholders, the goal is faster access to safer, more personalized and more effective solutions.

Leveraging Dassault Systèmes' virtual twins, startups reduce reliance on costly physical prototypes and shorten their time to market. They also benefit from OUTSCALE's sovereign Cloud infrastructure and high-performance compute resources capable of supporting AI-driven healthcare applications, in strict compliance with European data regulations and the security requirements specific to health data.

By supporting startups from growth through industrialization, this partnership illustrates how an alliance between a technology leader, a sovereign Cloud operator and a health innovation ecosystem can accelerate the future of medicine, advancing data sovereignty and delivering better outcomes for patients.

24/06/2026

IBM.

AI toolbox. An interview with an ethicist.


In the latest installment of IBM Think’s ongoing expert interview series, IBM Fellow and global AI ethics leader Francesca Rossi argues that while AI can assist with work, accountability for what it produces must remain firmly in human hands.

Rossi uses ChatGPT and Claude daily to develop lectures, explore research ideas, draft content and even build presentation decks. But she sees them as collaborators, not colleagues.

“The only accountable entity is the human being,” Rossi told IBM Think in an interview. “The only one that bears responsibility for whatever is generated is the human being.”

That distinction shapes how she uses AI. Rossi routinely asks models for research papers and related work, but she assumes some citations may be wrong. Every source gets checked. Verification, she argues, isn’t an extra step—it’s the price of using AI responsibly.

She also draws a hard line between AI’s ability to sound human and its inability to be human. During a difficult period when her cat underwent multiple surgeries, Rossi turned to AI for help, thinking through questions for veterinarians. The chatbot responded with apparent concern and asked for updates.

“But of course it doesn’t care about my cat,” she said.

That simulated empathy worries her. As more people turn to chatbots for companionship, Rossi fears users may forget that AI generates comforting language without understanding, experience or genuine concern.

She is equally skeptical of deepfakes, AI-generated moral judgments and unsupervised “vibe coding” by non-programmers. Across all use cases, the same principle applies: AI can accelerate thinking and productivity, but accountability always belongs to the human behind the keyboard.

23/06/2026

Earlier this month Microsoft released models to be used for AI. It writes:

”We are announcing a family of seven new models developed in-house at Microsoft AI. Beyond these models, we’re building a superintelligence lab – a system and an approach we believe will define the next phase of AI.

This is an extraordinary time in technology. The compute used to train frontier models has increased by a factor of one trillion. Now we expect another thousand-fold increase over the next three years, which in turn means more advanced capabilities, and the continued rollout of ever more effective AI.

This epic compute ramp will change the nature of work, business and daily life. We all have to prepare for this reality. Our job at MAI is to help you do this – to push the frontier, and to build a hill-climbing machine to keep you at the frontier.

Here’s our first steps along the way.

Our Models

Our new models across image, voice, transcription, coding, and reasoning, together form the MAI model family: a multimodal ecosystem designed to work across the kinds of tasks that matter in the real world.

MAI-Thinking-1, Microsoft AI’s flagship reasoning model. It is a medium-sized model that stands among the strongest models in its weight class: it matches leading models on key software engineering benchmarks, and demonstrates advanced mathematical reasoning capabilities, and is preferred to Sonnet 4.6 in our blind human side-by-side evaluations. We trained it from the ground up on clean data, without distillation from third-party models.

MAI-Code-1-Flash is an inference-efficient agentic coding model. This model is tailor-made for and deeply integrated into GitHub Copilot, VS Code and the Microsoft stack, and, with 5 billion active parameters, is comparable to Haiku but cheaper.
MAI-Image-2.5 including its ultra-efficient Flash variant, supports both world-class text-to-image and image editing, surpassing the Arena score of Nano Banana Pro.

MAI Transcribe-1.5 is the best transcription model in the world, with SOTA accuracy. It’s five times faster than competing models, with built-in support for domain-specific terminology across 43 languages.
MAI-Voice-2 brings high-quality, natural-sounding speech generation across 15 languages, with the ability to adapt to a voice from a short sample, alongside strong safeguards against misuse. MAI-Voice-2-Flash, coming soon, does it in a lower cost, ultra-efficient package.

Alongside distribution on Foundry and optimization for our 1P products, our models are also going to be widely available for developers on OpenRouter, as well as Fireworks and Baseten. For the first time developers will be able to tune the weights of the model themselves.

All these models share the same infrastructure and the same commitment to clean, enterprise grade data lineage. We don’t distill from other labs and we don’t rely on opaque data. Our datasets are clean, traceable, and enterprise-grade. They are designed to work together, and to integrate directly into the products people use every day. But the models themselves are only part of the story.

The most important shift lies in what you can do with them.

Adapted for you

AI is moving into a new phase. With reinforcement learning in real-world environments, AI can fully adapt to the specifics of a given workflow for the first time. We call this Microsoft Frontier Tuning. We think it’s the future for how AI shows up. Learn more in the Microsoft 365 blog post.

We think it’s the future for how AI shows up.

In this set-up the most valuable data is yours: the trace of real work an agent completes, the sequence of steps, the decisions, the actions taken that define how tasks actually get done inside an organization.

Our reinforcement learning environments (RLEs) allow your MAI models to learn directly from your workflows. Think of them as training gyms for AI, accessible only to you.

With Frontier Tuning, you’re building your own model, trained on your data, within your environment, controlled by you. Your institutional knowledge becomes part of the model, and it stays yours. What’s even better is that this adaptation then drives efficiency and performance.

Across Microsoft and with customers, Frontier Tuning is showing that custom models are both better and more efficient: our MAI tuned model for Excel matches GPT 5.4 while being up to 10× more efficient. Early adopters are seeing similar gains at the frontier. When tuned for a market-leading organization’s exacting enterprise standards, MAI achieved the highest win rate of any model tested at roughly 10× lower cost.

Developers and businesses have been crying out for AI that delivers on their terms and under their say. We see this as a major step towards delivering that.”

22/06/2026

PTC.

It has announced its latest wave of product innovations to help customers move faster, build smarter products, and unlock more value from their data. Unveiled this week at the PTC NEXT Chicago event, the innovations include two new cross-portfolio products, a new AI platform, 12 new AI agents, 10 new integrations, and major updates to every product in PTC’s portfolio, further advancing its Intelligent Product Lifecycle vision in ways customers can act on today.

When product data is fragmented, the effects are felt across the business: products are slower to market, quality suffers, complexity and cost increase, and regulatory compliance requires more effort than it should. These releases are designed to address these challenges.

New solutions, such as the PTC Orbit™ AI-first, cloud-native solution, connect data from PLM, ERP, CRM, IoT, EAM, and FSM systems into a single, unified asset record and apply AI to maintain data quality and make asset information and insights accessible across the enterprise. The PTC Jetstream™ cloud-native solution solves the long-standing challenge of collaboration across product data by enabling internal and external teams to easily share, review, and capture traceable feedback, all while staying integrated with PLM, ALM, and CAD and powered by AI.

PTC is also previewing its new AI platform, which, along with AI agents and assistants embedded across its portfolio, extends the value of product data across the enterprise. With the AI platform, PTC is establishing a new Intelligence Layer across its portfolio to support enterprise-wide transformation.

“In a constantly changing world, the manufacturers and product companies that win move the fastest without sacrificing cost, traceability, and meeting regulations,” said Neil Barua, CEO, PTC. “Every innovation we launch at PTC NEXT is designed to help our customers move faster, improve access to product data, and accelerate their transformations with the Intelligent Product Lifecycle.”

PTC NEXT is PTC’s twice-yearly innovation launch moment, with a Spring season and a Fall season. Each season consolidates all major product releases, so customers and partners can see the full portfolio picture at once, enabling them to build AI strategies and digital transformation roadmaps with a clear view of what is available and what is coming.

PTC NEXT Chicago, the Spring 2026 season event, is taking place this week, June 9-10, at the Swissôtel Chicago, where attendees are experiencing the spring product innovations, executive keynotes, hands-on demonstrations, and customer spotlights firsthand.

The new PTC NEXT On-Demand Experience Hub is now live, offering customers, partners, and our network an always-on place for news about PTC’s product innovations.

Spring Season Product Innovations Overview

New Solutions:
PTC Orbit: Provides manufacturers with a single trusted source for asset-centric data across their entire operations.
PTC Jetstream: Enables internal and external teams to easily share, review, and capture traceable feedback.

Creo computer-aided design (CAD) solution: Introduces new AI-assisted engineering capabilities, enabling significant productivity and performance gains, with expanded support for model-based definition, composite design, simulation-driven optimization, advanced manufacturing, and electrification, helping manufacturers deliver their best designs in less time.

Onshape computer-aided design (CAD) and product data management (PDM) platform: Expands AI-assisted design feedback, next-generation model-based definition, robotics simulation, cloud-connected ECAD-MCAD collaboration, and ITAR/EAR compliance support to help teams design faster and smarter across mechanical, electrical, and government applications.

Windchill product-lifecycle management (PLM) solution: Delivers a modernized UI/UX experience, AI-assisted PLM workflows, expanded enterprise collaboration, and strengthened digital thread connectivity across design, manufacturing, and service engineering to help teams accelerate time-to-value and manage product data at scale.

Arena product lifecycle management (PLM) and quality management system (QMS) solution: Enhances AI-assisted search, component risk management, GovCloud analytics, and rich text communications to help teams make faster data-driven decisions, reduce component risk, and improve collaboration across product and quality processes through a cloud-native solution.

Codebeamer application lifecycle management (ALM) solution: Advances AI-powered assistance, configuration management with streamlined delta merging, product line coevolution, and end-to-end digital product traceability to help teams develop complex products faster with greater control and confidence.

ServiceMax field service management solution: Introduces trusted AI controls, adaptive scheduling automation, intelligent work plan dependencies, and smarter parts handling to help service teams reduce variability, improve dispatcher productivity, and deliver more consistent, cost-effective repairs.

Servigistics service supply chain optimization solution: Advances AI-powered service supply chain optimization with intelligent assistants, self-healing autonomous workflows, machine learning forecasting, and enterprise-wide SIOP collaboration to help optimize inventory, improve decision-making, and maximize equipment uptime and readiness.

Integration Highlights Include:
Product Lifecycle: New Windchill Connectors to Onshape (beta), ServiceMax, ERP systems
Product Line Engineering: Codebeamer and Windchill connections to the Pure Variants™ ALM solution
Digital Product Traceability: Windchill, Creo, and Codebeamer connectors
NVIDIA Connectors: Windchill and Creo to NVIDIA Omniverse and Onshape-to-Isaac Sim
Electronic Product Development: Onshape Connector to Altium 365

You can expect to learn about these integrations and more at the event and online.

PTC accelerates digital transformation with a new generation of technology that powers the ways you engineer, manufacture, and service your physical products.