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IBM Launches Global Watson IoT Consulting Solutions

IBM announced an array of new services, industry offerings and capabilities to help enterprise clients, startups and developers drive digital transformation with the Internet of Things (IoT).

With the number of connected devices skyrocketing, IBM is making IoT accessible to millions around the world. IBM is dedicating more than 1,500 industry experts with its new Watson IoT Consulting Solutions, as well as giving open and free access to its Watson IoT Platform.

Today’s announcement follows Forrester Research naming IBM a leader in its Wave report on IoT software platforms.

“The Internet of Things is making an enormous impact on our lives and helping to spur even deeper levels of innovation for those developing the connected devices and products of our future,” said Harriet Green, General Manager, IBM Watson IoT, Commerce and Education. “IBM is helping knock down the barriers to getting started with IoT, making it accessible for clients as they begin their digital transformation.”

To help clients across industries capture the massive business opportunity of the digitization of the physical world, IBM today is launching a global IBM Watson IoT Consulting Solutions practice. The practice will feature 1,500 experts across IBM Watson IoT headquarters in Munich, Germany and in eight other IBM IoT centers across Asia, Europe and the Americas. By integrating IBM Watson IoT Platform APIs and technologies, including cognitive, analytics, mobile, security and cloud capabilities, together with development and implementation consulting and ongoing support, clients can fully use the IoT without the risk and complexity of dealing with multiple vendors.

"Clients can now easily introduce IoT innovation into their business by leveraging IBM’s industry and technical expertise to deliver lower risk, as-a-service commercial models. We are very proud our integrated IoT solutions deliver innovation in an easy to consume model for business leaders,” said Jesus Mantas, GM, Business Consulting, IBM. “We are helping clients accelerate the digitization of their business processes by making it easy to deploy IoT solutions globally into their business”.

The IBM Watson IoT Consulting Solutions practice will employ a global network of skilled consultants, data scientists and design and security experts with deep domain and industry expertise, all dedicated to providing clients with guidance on tackling industry specific IoT adoption challenges. The first priority industries include automotive, electronics, industrial products, insurance, retail, telecommunications, transportation and buildings. Clients can apply Watson cognitive computing capabilities, including machine learning and natural language to tap into massive amounts of unstructured data -- such as videos and sounds –- to gain insights and augment decision making.

In addition to the new Watson IoT Consulting Solutions practice, IBM also is announcing new industry offerings available via its Watson IoT Platform, including IBM Watson IoT for Manufacturing and Asset Health Insight, designed to help clients address industry-specific IoT adoption challenges and opportunities.

The IBM Watson IoT Platform, a security-rich, scalable and open platform, let's developers quickly connect, build, launch and manage IoT applications and solutions.

To help make creating and developing IoT applications more accessible than ever before, IBM will offer:

- Free access to IBM Watson IoT Platform: For businesses who are just starting out on IoT and developers testing out and exploring new IoT innovations, IBM offers open and free access to the IBM Watson IoT Platform development capabilities. As projects grow, developers can then take their prototypes and scale to full production to meet business needs.

- IoT education courses: To help the new wave of technical innovators learn how to develop IoT applications, IBM continues to offer industry-leading learning classes, via its collaboration with Coursera, and via new, easily consumable IoT learning tutorials on IBM’s open Watson IoT Academy. These tutorials, led by IBM subject matter experts, include an introduction to programming a Raspberry Pi; how to use Natural Language Processing; and how to use Node-RED, the open source visual programming tool set that is becoming a standard for building connected IoT programs.

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Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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IBM Launches Global Watson IoT Consulting Solutions

IBM announced an array of new services, industry offerings and capabilities to help enterprise clients, startups and developers drive digital transformation with the Internet of Things (IoT).

With the number of connected devices skyrocketing, IBM is making IoT accessible to millions around the world. IBM is dedicating more than 1,500 industry experts with its new Watson IoT Consulting Solutions, as well as giving open and free access to its Watson IoT Platform.

Today’s announcement follows Forrester Research naming IBM a leader in its Wave report on IoT software platforms.

“The Internet of Things is making an enormous impact on our lives and helping to spur even deeper levels of innovation for those developing the connected devices and products of our future,” said Harriet Green, General Manager, IBM Watson IoT, Commerce and Education. “IBM is helping knock down the barriers to getting started with IoT, making it accessible for clients as they begin their digital transformation.”

To help clients across industries capture the massive business opportunity of the digitization of the physical world, IBM today is launching a global IBM Watson IoT Consulting Solutions practice. The practice will feature 1,500 experts across IBM Watson IoT headquarters in Munich, Germany and in eight other IBM IoT centers across Asia, Europe and the Americas. By integrating IBM Watson IoT Platform APIs and technologies, including cognitive, analytics, mobile, security and cloud capabilities, together with development and implementation consulting and ongoing support, clients can fully use the IoT without the risk and complexity of dealing with multiple vendors.

"Clients can now easily introduce IoT innovation into their business by leveraging IBM’s industry and technical expertise to deliver lower risk, as-a-service commercial models. We are very proud our integrated IoT solutions deliver innovation in an easy to consume model for business leaders,” said Jesus Mantas, GM, Business Consulting, IBM. “We are helping clients accelerate the digitization of their business processes by making it easy to deploy IoT solutions globally into their business”.

The IBM Watson IoT Consulting Solutions practice will employ a global network of skilled consultants, data scientists and design and security experts with deep domain and industry expertise, all dedicated to providing clients with guidance on tackling industry specific IoT adoption challenges. The first priority industries include automotive, electronics, industrial products, insurance, retail, telecommunications, transportation and buildings. Clients can apply Watson cognitive computing capabilities, including machine learning and natural language to tap into massive amounts of unstructured data -- such as videos and sounds –- to gain insights and augment decision making.

In addition to the new Watson IoT Consulting Solutions practice, IBM also is announcing new industry offerings available via its Watson IoT Platform, including IBM Watson IoT for Manufacturing and Asset Health Insight, designed to help clients address industry-specific IoT adoption challenges and opportunities.

The IBM Watson IoT Platform, a security-rich, scalable and open platform, let's developers quickly connect, build, launch and manage IoT applications and solutions.

To help make creating and developing IoT applications more accessible than ever before, IBM will offer:

- Free access to IBM Watson IoT Platform: For businesses who are just starting out on IoT and developers testing out and exploring new IoT innovations, IBM offers open and free access to the IBM Watson IoT Platform development capabilities. As projects grow, developers can then take their prototypes and scale to full production to meet business needs.

- IoT education courses: To help the new wave of technical innovators learn how to develop IoT applications, IBM continues to offer industry-leading learning classes, via its collaboration with Coursera, and via new, easily consumable IoT learning tutorials on IBM’s open Watson IoT Academy. These tutorials, led by IBM subject matter experts, include an introduction to programming a Raspberry Pi; how to use Natural Language Processing; and how to use Node-RED, the open source visual programming tool set that is becoming a standard for building connected IoT programs.

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In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.