University of Kwazulu-Natal

Ibm Unveils Hybrid Tools To Scale Enterprise Ai Agents

Bonisiwe Shabane
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ibm unveils hybrid tools to scale enterprise ai agents

ARMONK, N.Y., May 6, 2025 /PRNewswire/ -- Today at the company's annual THINK event, IBM (NYSE: IBM) is unveiling new hybrid technologies that break down the longstanding barriers to scaling enterprise AI – enabling... IBM estimates that over one billion apps will emerge by 2028, putting pressure on businesses to scale across increasingly fragmented environments. This requires seamless integration, orchestration and data readiness. A new IBM CEO study shows that business leaders expect the growth rate of AI investments to more than double over the next two years, with most actively adopting AI agents and preparing to... Yet their pace of investments has led to disconnected technology – and only 25% of AI initiatives have achieved the ROI they expected. IBM is combining hybrid technologies, agent capabilities and deep industry expertise from IBM Consulting to help businesses operationalize AI.

"The era of AI experimentation is over. Today's competitive advantage comes from purpose-built AI integration that drives measurable business outcomes," said Arvind Krishna, Chairman and CEO, IBM. "IBM is equipping enterprises with hybrid technologies that cut through complexity and accelerate production-ready AI implementations." IBM ramps up its efforts to push AI deeper into the enterprise by expanding its Watsonx platform and unveiling new integration and data tools that aim to address one of the technology’s biggest obstacles:... The announcement, made during the company’s Think event, outlines IBM’s strategy to help organisations design and deploy AI agents that integrate with complex digital environments and fragmented data sources. IBM says a key issue hindering enterprise AI is the failure to integrate systems across hybrid and multi-cloud setups.

The company’s internal research shows that although interest in AI continues to grow, only 25% of AI initiatives have met expectations in terms of return on investment. IBM points to technology sprawl and a lack of orchestration as reasons for this shortfall. ARMONK, N.Y. — At the company’s annual THINK event, IBM unveiled new hybrid technologies for scaling enterprise AI – designed to enable businesses to build AI agents with their own enterprise data. IBM estimates that over 1 billion apps will emerge by 2028, putting pressure on businesses to scale across increasingly fragmented environments. This requires integration, orchestration and data readiness.

The company said a new IBM CEO study shows that business leaders expect the growth rate of AI investments to more than double over the next two years, with most adopting AI agents and... Yet their pace of investments has led to disconnected technology – and only 25 percent of AI initiatives have achieved the ROI they expected, IBM said. IBM is combining hybrid technologies, agent capabilities and support from IBM Consulting to help businesses operationalize AI. “The era of AI experimentation is over. Today’s competitive advantage comes from purpose-built AI integration that drives measurable business outcomes,” said Arvind Krishna, Chairman and CEO, IBM. “IBM is equipping enterprises with hybrid technologies that cut through complexity and accelerate production-ready AI implementations.”

Build AI agents in watsonx Orchestrate that work with 80+ leading business applications IBM is making aggressive forays in AI and at the company's annual THINK event, IBM is unveiling new hybrid technologies that break down the longstanding barriers to scaling enterprise AI – enabling businesses to... IBM estimates that over one billion apps will emerge by 2028, putting pressure on businesses to scale across increasingly fragmented environments. This requires seamless integration, orchestration and data readiness. A new IBM CEO study shows that business leaders expect the growth rate of AI investments to more than double over the next two years, with most actively adopting AI agents and preparing to... Yet their pace of investments has led to disconnected technology – and only 25% of AI initiatives have achieved the ROI they expected.

IBM is combining hybrid technologies, agent capabilities and deep industry expertise from IBM Consulting to help businesses operationalize AI. "The era of AI experimentation is over. Today's competitive advantage comes from purpose-built AI integration that drives measurable business outcomes," said Arvind Krishna, Chairman and CEO, IBM. "IBM is equipping enterprises with hybrid technologies that cut through complexity and accelerate production-ready AI implementations." AI agents are shifting from AI that chats with you to systems that work for you, yet many enterprises will struggle to integrate them across diverse environments, apps, and data. IBM is providing a comprehensive suite of enterprise-ready agent capabilities in watsonx Orchestrate to help businesses put them into action.

The portfolio includes: Photo by Google DeepMind: https://www.pexels.com/photo/an-artist-s-illustration-of-artificial-intelligence-ai-this-image-represents-how-machine-learning-is-inspired-by-neuroscience-and-the-human-brain-it-was-created-by-novoto-studio-as-par-17483868/ IBM has unveiled new hybrid technologies to accelerate enterprise AI, enabling businesses to build and deploy AI agents using their own enterprise data. "The era of AI experimentation is over. Today's competitive advantage comes from purpose-built AI integration that drives measurable business outcomes," said Arvind Krishna, chairman and CEO, IBM. IBM offers a comprehensive suite of enterprise-ready agent capabilities in watsonx Orchestrate.

The portfolio includes a build-your-own-agent in under five minutes, pre-built domain agents, integrationwith 80+ leading enterprise applications, agent orchestration, and agent observability. IBM unveils the new Agent Catalog in watsonx Orchestrate, a comprehensive resource that simplifies access to 150+ agents and pre-built tools from both IBM and its wide ecosystem of partners. Qualcomm has completed its acquisition of Alphawave Semi ahead of schedule, folding the high-speed connectivity specialist into its expanding artificial intelligence data center strategy and putting Alphawave’s chief executive in charge of its data... Major cloud and commerce providers are rolling out new Artificial Intelligence capabilities that aim to make retail experiences more personalized, efficient, and governed across the US, Europe, the Gulf, and India. Recent launches from Amazon, Google, Microsoft, Salesforce, Adobe, Shopify, Stripe, Klarna, BigCommerce, and commercetools indicate a shift toward Artificial Intelligence native commerce stacks by 2026. A detailed late‑2025 analysis argues that Nvidia has transformed from a chip vendor into sovereign-grade infrastructure, blunting bearish calls that the artificial intelligence buildout is a fragile bubble set to pop.

Bank of America reports that India has become the world’s largest and most active market for large language model adoption, driven by its vast online population, low data costs, and young, tech-savvy users. Chinese open-source artificial intelligence models from companies such as Alibaba and DeepSeek are rapidly gaining adoption in the United States, driven by lower costs and flexibility, even as Washington sharpens its rivalry with Beijing... IBM Corp. is using its Think 2025 conference in Boston this week to introduce a sweeping set of artificial intelligence and hybrid cloud technologies aimed at accelerating enterprise adoption of AI agents. The venerable tech giant said it’s focused on making the new breed of autonomous software that can take actions independently while working toward a specified goal, easier to build and orchestrate. The new technologies are designed to address what Chief Executive Arvind Krishna called the “fragmentation of infrastructure” that has stalled many AI initiatives.

He cited internal research that found that only 25% of enterprise AI projects have delivered expected returns on investment. IBM is tackling this shortfall with tools for building and orchestrating AI agents, unifying enterprise data and scaling AI inference, the process of running trained models. Central to IBM’s announcements is watsonx Orchestrate, a platform the company claims enables businesses to build AI agents in less than five minutes. The system includes over 150 prebuilt agents, integrations with more than 80 enterprise applications, and orchestration tools that enable multiple agents to collaborate across complex workflows. “We think this will appeal to both low-code and pro-code developers,” Krishna said in a press briefing. “Agents are going to form an integral part of how generative AI is used in enterprises.”

IBM is holding its annual THINK conference this week, and, unsurprisingly, artificial intelligence is the star of the show. The common theme across IBM's broad swath of product unveilings is a focus on solutions that make it easier to scale enterprise AI in organizations, tackling challenges organizations face with AI deployment and integration. AI agents are the latest breakthrough in the AI space, taking the assistance that AI chatbots provide a step forward by actually performing tasks for people. Although agentic AI is a technology most enterprises should take advantage of, businesses face several implementation challenges, including finding ways to integrate it seamlessly into their various apps, data, and environments. Also: Why scaling agentic AI is a marathon, not a sprint To address these challenges, IBM unveiled a suite of enterprise-ready agents in watsonx Orchestrate.

According to IBM, these AI tools enable businesses to build their own agents in under five minutes with both no-code and pro-code options; leverage pre-built agents for specialized use in specific domains such as... IBM also announced a new Agent Catalog in watsonX Orchestrate, which lets businesses more easily identify and access the best agent for their business use case from 150+ agents and prebuilt tools made available...

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