Bringing over 35 years of industry experience, Singh has played a central role in scaling several major enterprise platforms. He previously served as President of Palo Alto Networks, where he helped drive significant expansion in market value and new security product lines. Prior to that, he spent nearly a decade at Google as a co-founder and President of Google Cloud, following a 20-year career at Oracle spanning engineering, product, and sales leadership.

Singh takes the helm as Mountain View, California-based Omnissa expands its platform across unified endpoint management, virtual applications, digital employee experience, and endpoint security. Serving over 15,000 enterprise customers, the company recently introduced AI-first capabilities aimed at securing autonomous workflows and device fleets.

Also Read: TP Appoints Benoit Gabelle as Group Chief Financial Officer

“The shift to agentic AI is transforming how work gets done, and the endpoint is at the center of that transformation,” said Amit Singh, CEO of Omnissa. “Omnissa already has the agent on the device, the credentials, the traffic, the telemetry and the remediation; our job now is to extend all of it to the agent and make it safe for CIOs and CISOs to say yes.”

The executive transition follows Omnissa’s standalone growth as a portfolio company of KKR. Singh’s leadership will focus on integrating AI agent management and security capabilities into Omnissa’s core digital work platform, enabling enterprise IT and security teams to safely deploy autonomous software agents across managed devices.

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Addressing this systemic bottleneck, global design, engineering, and consultancy leader Arcadis announced an expanded collaboration with software giant Autodesk. The partnership aims to accelerate the deployment of artificial intelligence, connected data, and digital workflows across the built and natural environment anchoring AI directly within the software environments where engineering decisions are made.

By connecting Arcadis’ proprietary Model Context Protocol (MCP) framework directly with Autodesk’s Design and Make platform and Autodesk Assistant, the partnership establishes a continuous execution loop. This allows engineering teams to ground generative AI outputs in verified project history, geometric intent, and client-specific standards.

The News: Grounding AI Assistant Capabilities in Proprietary Domain Data

The primary advancement of the Arcadis-Autodesk partnership is moving enterprise AI past generic text summaries toward context-aware, geometry-fluent project intelligence. Rather than relying on ungrounded public AI models, the collaboration brings Arcadis’ internal engineering standards, client requirements, and historical asset knowledge directly into Autodesk Assistant.

Also Read: IBM Expands Digital Banking Infrastructure with Swift Shared Ledger Integration

Key technological highlights and strategic capabilities delivered by the collaboration include:

Model Context Protocol (MCP) Integration: Connects Arcadis’ custom AI tools natively with Autodesk Assistant. This allows Arcadis to apply its proprietary rules, design guidance, and engineering standards inside active workflows while maintaining complete IP ownership.

Drastic Quality Control Acceleration: Automates routine design checks and compliance reviews. Early deployment examples demonstrate that automated workflows can reduce design quality review cycles from five days down to approximately half a day.

“See Through Walls” Circularity Project: Employs sensor data, AI, and predictive modeling to assess the hidden conditions of existing structures, advancing material reuse, decarbonization, and building retrofits.

Human-in-the-Loop Verification: Keeps licensed engineers and design professionals at the center of the decision-making process. AI handles repetitive data collation and initial modeling, while human experts verify and sign off on technical outputs.

Transforming the Architecture, Engineering, and Construction (AEC) & Infrastructure Technology Industry

The expanded tie-up between Arcadis and Autodesk signals a major structural shift across the Architecture, Engineering, and Construction (AEC) & Infrastructure Technology sector.

The Sunset of Isolated “Point-Solution” Software Tools
For years, AEC firms operated in isolated software silos architects used one platform, structural engineers another, and general contractors a third. Moving data between these platforms required manual file conversions that frequently introduced design errors and missed details.

The Arcadis-Autodesk announcement accelerates the phase-out of disconnected point tools. The AEC market is entering a connected platform execution era, where engineering firms are no longer evaluated solely on drafting speed, but on whether their platform infrastructure can continuously sync design changes, cost estimates, and risk parameters across the entire asset lifecycle.

Transitioning from Experimental AI Pilots to Production Workflows
Until recently, AI in construction and design was largely confined to experimental pilot projects such as basic generative floor plans or automated image rendering. However, engineering leads have demanded solutions that handle complex, multi-variable engineering constraints.

By embedding AI natively into mainstream software like Autodesk, this partnership establishes workflow-integrated AI as an industry standard. Enterprise engineering providers must now prove that their AI models understand real-world physics, municipal building codes, and historical project data rather than simply generating speculative visual concepts.

Broad Operational Impact on Enterprise Businesses Operating in the AEC Sector

For Chief Executive Officers (CEOs), Chief Technology Officers (CTOs), and Project Delivery Directors operating in the construction, infrastructure, and real estate value chain, integration of AI and data-driven delivery model will have several benefits as outlined below:

Reduced Project Cycle Times: Fast-tracked quality assurance, compliance, and design review times can be cut from days to mere hours, which enables organizations to deliver infrastructure and commercial projects much quicker than before.

Risk Mitigation: Validation of AI outputs in real-time by matching them with actual project data and constraints mitigates rework and design flaws that can occur as a result of unanticipated change orders.

Leveraged Senior Engineer Capacity: Automation of repetitive geometric analysis and data entry tasks allows engineers to focus on complex engineering problems, customer relations and high-impact innovation.

Consistent Quality Standards: Integration of institutional knowledge through cloud-based AI workflows guarantees consistent engineering quality across multiple offices around the world and multiple regional projects.

Through transition of the Architecture, Engineering & Construction industry from a laborious and reactive problem solving process to proactive data-driven delivery model, the partnership between Arcadis and Autodesk presents a great example of how physical infrastructure can be built efficiently.

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Gabelle joined TP in 2022 as Group Deputy Chief Financial Officer, leading financial reporting, corporate accounting, tax, and finance transformation. Over the past four years, he played a central role in several major financial milestones for the company, including the deployment of unified enterprise financial systems, the operational structuring and integration of Majorel, and recent group refinancing and efficiency programs.

Before joining TP, Gabelle spent 17 years in international advisory across France and Hong Kong with KPMG and EY, where he served as a Partner specializing in international taxation and transfer pricing.

Also Read: David Walsh Appointed Chief Marketing Officer at pay.com.au 

In his permanent role as Group CFO, Gabelle’s primary focus will involve modernizing the finance function through automation and AI, providing strategic support to global operations, optimizing liquidity and balance-sheet structures, and ensuring the group’s ongoing digital transformation drives long-term shareholder value.

“Benoit’s confirmation as Group CFO is a well-deserved recognition of the strong leadership he has demonstrated at TP,” said Jorge Amar, CEO of TP. “Since stepping into the role on an interim basis, he has shown the strategic clarity and steady leadership our finance function needs as we advance TP’s transformation and integrate AI within our processes.”

The permanent appointment underscores TP’s focus on maintaining financial rigor, integrating advanced technology into enterprise operations, and stabilizing senior executive leadership following its recent leadership transitions and large-scale M&A integrations.

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Enterprises across every industry are working to modernize networks, scale automation, and prepare infrastructure for AI, but these initiatives succeed only when they are built on accurate, authoritative infrastructure data. NetBox Labs serves as not only the crucial system of record, but also as a platform that continuously discovers, models, governs and operationalizes infrastructure data across the organization. Through this partnership, Presidio applies its consulting, implementation, integration, automation, and managed services expertise to deliver transformation initiatives built on that foundation, helping customers operationalize the NetBox Labs platform in complex environments.

“NetBox Labs delivers a true platform for infrastructure data that aligns directly with how Presidio helps enterprises modernize and scale their networks,” said Brian Wisler, Vice President, Presidio Modern Networks. “By incorporating NetBox Labs into our Networking solutions, we give customers a consistent, enterprise-grade foundation for automation and modernization. This helps them move beyond point solutions toward a platform-driven approach, even in complex environments.”

Also Read: IDS’s Nion 3D ToF camera goes into series production

NetBox Labs chose to partner with Presidio for its proven ability to execute large-scale business transformation through secured technology modernization in North America, Europe and Asia Pacific . With more than 6,800 customers, Presidio brings deep expertise across generative AI, public cloud,  application development, data analytics, security, networking and modern data center infrastructure making it well suited to help organizations adopt the NetBox Labs platform as a strategic foundation for infrastructure operations and automation. The partnership has already led to engagements with one of North America’s largest banks, a major U.S. metropolitan court system, a leading U.S. smart home and security technology company, and a top global media services provider, among others.

The partnership is anchored in the NetBox Labs platform, which is available as a SaaS or self-managed offering. The platform provides a unified, enterprise-grade foundation for infrastructure modeling, automation, and operational governance. The recently launched infrastructure intelligence platform lets teams model their intent, see what’s deployed and how it’s changing, act through AI-accelerated automation, and govern every change with guardrails for humans and AI agents spanning discovery, assurance, analytics, and open APIs that support integration across complex customer environments.

“Presidio’s leadership in enterprise networking and infrastructure modernization makes them an ideal partner as we expand NetBox Labs as a platform,” said Bill Lapcevic, Chief Revenue Officer at NetBox Labs. “Together, we are positioning the NetBox Labs platform as a foundational layer within larger, outcome-driven enterprise initiatives, helping customers standardize infrastructure data, scale automation, and treat NetBox as a strategic platform investment rather than a point solution.”

The partnership is initially focused on customers across North America, aligned with Presidio’s established delivery capabilities, with opportunities to extend the collaboration into additional geographies as Presidio expands its global presence, including investments in Europe. For customers, the combination of NetBox Labs and Presidio establishes a trusted infrastructure data foundation that accelerates automation, improves operational visibility, reduces risk, and supports large-scale modernization initiatives.

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Also Read: Tech Mahindra Launches AWS Agentic Process Transformation CoE 

“Now global brands have a single, unified engine to power intelligent customer interactions scaling SoundHound’s reach to serve every enterprise, on every channel, at an unprecedented level.” The combined company is also targeting more than $500 million in future revenue from its existing customer base through cross-selling opportunities and expanded services. As part of the transaction, SoundHound has retired LivePerson’s outstanding debt, creating a debt-free balance sheet to support growth and continued product development. John Collins, who previously held senior leadership roles at LivePerson, has been appointed CFO of the combined company. “Our shared focus is clear: accelerate innovation and deliver immediate impact for our customers,” said John Sabino, CEO of LivePerson. “Together, we offer an unparalleled value proposition for enterprises seeking to modernize their contact centers and digital touchpoints with a trusted, enterprise-grade AI partner.”

Read More: SoundHound AI Completes Acquisition of LivePerson, Creating a World-Leading Omnichannel Conversational AI Powerhouse

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Also Read: Elevate Digital Launches AI-Enabled Proprietary Platform to Accelerate Enterprise Transformation 

“With the AWS APT CoE, we are bringing together Tech Mahindra BPS’ process expertise and AWS-native AI capabilities to help customers operationalize Agentic AI with stronger governance, faster execution, and measurable business impact.” The CoE has already demonstrated its potential through Collections Guru, an agentic AI-powered collections solution jointly developed by Tech Mahindra and AWS and deployed by UK-based financial services outsourcing provider Target Group. Built on AWS cloud and AI infrastructure, the solution delivered approximately 40% efficiency gains by autonomously optimizing collection strategies. Katie Pender, Chief Operating Officer, Target Group, said, “Since introducing the Collections Guru agent, we’re seeing encouraging early results, including anticipated efficiency gains of around 40% in the areas where it’s been rolled out. It’s been a valuable step in how we’re modernising our operations.” The launch strengthens Tech Mahindra’s AWS-focused AI services strategy and expands opportunities for enterprises seeking production-ready agentic AI transformation.

Read More: Tech Mahindra Launches AWS Agentic Process Transformation CoE to Redefine AI-Led Business Operations

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“Ian is the kind of product leader who can turn a rapidly changing market into a clear and compelling product vision,” said Kevin Weiss, Chief Executive Officer at Sectigo. “He has an impressive track record of building and scaling security and identity products through periods of significant growth and complexity, while translating major technology shifts into solutions customers can adopt and trust. Ian’s leadership will strengthen our ability to deliver on our promise of Simplicity at Scale and accelerate the next phase of innovation across our CLM platform.”

As Chief Product Officer, Hassard will lead Sectigo’s product vision and strategy, working closely with engineering and go-to-market teams to guide the continued evolution of Sectigo Certificate Manager. His focus will be on translating changing customer and market requirements into platform capabilities that simplify certificate operations, reduce risk and prepare organizations for the next generation of digital trust.

Also Read: Conduent Appoints Anna Novoseletsky as Executive Vice President, General Counsel and Secretary

“Certificate Lifecycle Management is becoming foundational to how organizations secure digital operations at scale,” said Hassard. “Sectigo has the market position, technology and depth of expertise to define where this category goes next. I’m excited to build on that strength and advance a platform that makes it easier for organizations to manage growing certificate complexity, reduce risk and prepare for what comes next.”

Hassard brings more than two decades of experience building and scaling products across identity, cybersecurity and networking. Before joining Sectigo, he served as Vice President of Product Management at Okta, where he led product strategy across the Auth0 and Okta Customer Identity portfolio. Earlier, he co-founded RootSecure, a cybersecurity company acquired by Arctic Wolf, where he went on to hold product leadership roles helping drive the company’s growth. An inventor with multiple patents spanning identity, security and emerging technologies, Hassard has built his career translating complex technological shifts into practical products that solve real-world security challenges at scale.

About Sectigo

Sectigo is a leading provider of Certificate Lifecycle Management (CLM), helping organizations secure human and machine identities while reducing the hidden risks of modern digital trust. As certificate volumes grow and lifespans shrink, unmanaged certificates are becoming a source of outages, compliance exposure, and operational disruption. Sectigo uses orchestrated automation to deliver Simplicity at Scale through its cloud‑native CLM platform, bringing visibility, control, and lifecycle management together across complex environments. With more than 700,000 customers, including 65% of the Fortune 500, Sectigo is one of the largest and longest‑standing certificate authorities, with over 20 years of delivering unparalleled digital trust.

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“Computer vision must do more today than just reliably capture images. What is crucial is how quickly and easily image processing moves from an idea to a concrete application and how well cameras, software, and AI functions can be integrated into existing systems. This is exactly what we align our product strategy with: IDS offers industrial cameras and computer vision components that users can flexibly combine into their own solutions. Instead of turnkey systems, we focus on modular hardware and software with high quality, long-term availability, technological standards, and comprehensive support right up to customer-specific customizations. Being close to customers and partners is essential: Requirements from real-world applications feed directly into our development process, helping to improve existing products, expand our portfolio, and bring innovations to industrial applications more quickly. At VISION 2026, we will demonstrate how IDS continues to advance machine vision, from traditional industrial cameras to computer vision components with integrated AI,” explains Jan Hartmann, Managing Partner at IDS. 

Product and technology innovations for VISION 2026 

IDS Imaging Development Systems has been developing industrial cameras and computer vision components for industrial and non-industrial applications for almost 30 years. The focus of this year’s trade fair presence is on new uEye vision camera platforms, which serve as the technological basis for upcoming 2D industrial camera series. They are designed for higher performance, simple integration, and long-term availability. 

Also Read: Increasingly Dangerous Threats, Not More Alerts, Are the New SOC Challenge 

Another focus area is event-based imaging. Together with Prophesee, IDS provides insight into further developments in the field of event-based cameras. The technology is particularly suitable for highly dynamic applications such as drones, AGVs, and autonomous systems, for example for object recognition, tracking, or safe navigation. 

In the field of 3D vision, the company is presenting news regarding the 3D ToF camera Nion, including a new RGB set for synchronized image acquisition that merges color and depth data. In addition, IDS will showcase a new version of the Ensenso N Series active stereo vision system for precise and robust 3D data acquisition in robotics, bin picking, and metrology. 

AI cameras and embedded vision systems are also part of the technology roadmap. IDS is expanding the uEye Live series of monitoring cameras with streaming and recording capabilities to include AI-enabled models, enabling AI-powered image processing on-the-edge. High-performance neural networks from our partner DENKweit perform tasks such as fast object and position detection, precise parcel handling and efficient code reading. 

Insight into innovation projects 

As a key innovation project, IDS is presenting the “GMSL Multi-Camera Vision System.” It demonstrates how intelligent embedded vision processes and combines images from multiple cameras with integrated ISPs and SoCs directly within the system, before transmitting the resulting data via a single GMSL cable. This reduces latency and data load in favor of a reliable basis for your own projects with distributed GMSL cameras, 

especially in mobile applications. 

Another project demonstrates active focus control fully integrated into the camera, where control and feedback occur directly via the software. The robust hardware is suitable for demanding applications in logistics, autonomous systems, and retail. 

For vegetation analysis, IDS is showing an NDVI camera that combines multispectral imaging with high resolution color imaging. It makes the health status of plants visible and provides reliable NDVI (Normalized Difference Vegetation Index) values, with which planning and resource allocation in agriculture can be specifically improved. 

VISION Makeathon 2026 

At the VISION Makeathon 2026, tangible prototypes are created from ideas: Interdisciplinary teams develop practical solutions for current image processing challenges within one day. IDS contributes as a project company with its own challenge, technology, and expert know-how. 

VISION, the world’s leading trade fair for image processing, will take place October 6–8 at Messe Stuttgart.

About IDS Imaging Development Systems GmbH: 

IDS Imaging Development Systems GmbH is a leading manufacturer of industrial cameras and pioneer in industrial image processing. The owner-managed, environmentally certified company develops high performance and versatile 2D and 3D cameras as well as models with artificial intelligence (AI) or with streaming/event recording feature. The almost unlimited range of applications covers multiple non-industrial and industrial sectors of equipment, plant and mechanical engineering. Since its foundation in 1997 as a two-man company, IDS has developed into an independent, ISO and environmental-friendly certified family business with around 320 employees. The headquarters in Obersulm, Germany, is both a development and production site. With subsidiaries in the USA, Japan, South Korea and the UK, as well as further representative offices in France, Benelux and India, the technology company has a global presence. 

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The expanded go-to-market strategy targets key international growth zones across the DACH region, Southern Europe, LATAM, and APAC. The initiative follows knowmad mood’s recent corporate expansion, including its merger with German consultancy knowmad mood Germany (formerly Aservo).

Operationalizing Agentic AI Across Complex Delivery Environments

As enterprise engineering organizations transition past early AI pilots, corporate leaders face increasing pressure to verify whether automated developer tools yield measurable business results. Digital.ai categorizes this market shift as the “Fourth Wave” the industry-wide evolution toward deploying artificial intelligence as an active, agentic participant across the entire software development lifecycle rather than maintaining it as a isolated coding assistant.

Also Read: Wrike Launches Conversational AI Agent Builder for Workflows

To support this transition, Digital.ai offers flexible deployment models across on-premises, private cloud, and SaaS environments, allowing enterprises to integrate AI workflows into existing toolchains without vendor lock-in.

“AI value only shows up when it’s grounded in real delivery pipelines, which is why this partnership is about giving enterprises the governance and domain expertise to make that shift responsibly, not just generating more output,” said Digital.ai CEO, Derek Holt. “Enterprises are past the pilot phase and are actively looking for partners who can operationalize AI at scale, and this is Digital.ai and knowmad mood meeting that demand together.”

Combining Domain Governance with Scalable AI Infrastructure

The collaboration pairs knowmad mood’s specialized Centers of Excellence spanning Agile Governance, IT Service Management, Cloud Migration, and DevSecOps with Digital.ai’s agentic software pipeline tools. This combined architecture enables enterprise IT departments to modernize development processes while maintaining strict regulatory compliance and software security.

“Enterprise AI transformation in software development and design is as much about culture and operating model as it is about tooling, and knowmad mood’s role is bringing that local, domain-specific change management expertise to Digital.ai‘s technology. We’ve already seen this play out with joint customers across financial services, manufacturing and automotive, and this partnership lets us bring that same approach to more enterprises navigating the same shift,” said Rainer Heinold, CEO, knowmad mood Germany.

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The Nion captures moving objects with virtually no blurring. Its high resistance to stray light ensures reproducible measurement results both indoors and outdoors. The measuring range of 0.3 to 7.5 meters covers typical industrial scenarios. The robust IP67-rated housing allows it to be used in more demanding environments. Power over Ethernet (PoE) reduces installation effort and cabling.

Patrick Schick, Product Manager for 3D Vision and Imaging Software at IDS, says: “The Nion provides stable depth data even under variable lighting conditions. This provides a solid foundation for automation processes that rely on fast and accurate 3D data.”

Also Read: Adobe Workfront AI Collaborators is now generally available

Compared to standard ToF cameras on the market, the onsemi AR0130 depth sensor offers higher resolution, lower noise, more stable results in ambient light and improved motion stability. This enables the Nion to achieve high depth accuracy even when objects are moving quickly and under variable lighting conditions.

Thanks to its compact design, high measurement quality and excellent value for money, the Nion offers a straightforward introduction to 3D image processing. Companies can integrate the camera flexibly into existing systems and benefit from a cost-effective solution for reliable depth data. “In many cases, existing 2D processes can be retained and supplemented with depth data where necessary, if this aids decision making within the process,” emphasizes Patrick Schick.

The Nion 3D camera is now available in series production. Technical information is available in the IDS Webstore. You can also place orders and make individual enquiries there.

About IDS Imaging Development Systems GmbH:

IDS Imaging Development Systems GmbH is a leading manufacturer of industrial cameras and pioneer in industrial image processing. The owner-managed, environmentally certified company develops highperformance and versatile 2D and 3D cameras as well as models with artificial intelligence (AI) or with streaming/event recording feature. The almost unlimited range of applications covers multiple non-industrial and industrial sectors of equipment, plant and mechanical engineering. Since its foundation in 1997 as a two-man company, IDS has developed into an independent, ISO and environmental-friendly certified family business with around 320 employees. The headquarters in Obersulm, Germany, is both a development and production site. With subsidiaries in the USA, Japan, South Korea and the UK, as well as further representative offices in France, Benelux and India, the technology company has a global presence.

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