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IBM Consulting recently announced a Center of Excellence (CoE) for Generative AI, with the goal of advancing artificial intelligence (AI) capabilities and harnessing the transformative potential of generative AI for business outcomes. Operating in tandem with IBM Consulting’s global AI and automation practice, the CoE encompasses an extensive network of over 21,000 skilled data and AI consultants who have completed over 40,000 enterprise customer engagements. I’m here.
The company said the main objectives of the Center of Excellence (CoE) include improving the customer experience, transforming core business processes and facilitating innovative business models.
The Center of Excellence (CoE) leverages IBM’s expertise in enterprise-grade AI, including the recently announced cutting-edge technologies from IBM watsonx and IBM’s esteemed ecosystem of business partners, to empower clients’ business Actively promote change. We also plan to work with clients and partners to develop new solutions and assets.
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“Our Generative AI Center of Excellence has more than 1,000 consultants worldwide with Generative AI expertise to help our clients improve productivity in core business processes such as IT operations, HR and marketing. , improve customer experiences and help create new business models,” said Glenn Finch, VentureBeat, Managing Partner, Data and Technology Transformation, Global IBM Consulting. “This parallels IBM Consulting’s existing data and AI practices, using a complete generative AI technology stack, including underlying models and his 50+ domain-specific classic machine learning accelerators. We focus on solving client challenges through
Finch added that the CoE has made significant progress since its inception, actively working with over 100 clients and successfully implementing a number of projects throughout 2023. Moreover, these efforts seamlessly integrate generative AI with traditional machine learning AI strategies, providing an example of this breakthrough technology. Adaptability and endless possibilities.
According to the company, milestones CoE has already achieved include providing AI-generated audio sports commentary to millions of fans during the Masters. Synergically combine generative AI and IBM Watson to discover new applications for Mitsui Chemicals products. and the strategic introduction of generative AI to optimize customer relationship processes at Bouygues Telecom.
Streamlining Business Workloads with Generative AI
According to IDC research, the AI services market is expected to experience significant growth, expanding from about $36 billion in 2023 to an estimated $65 billion by 2026. However, IBM said it recognizes that achieving enterprise-scale AI requires a holistic and adaptable approach. .
IBM Consulting emphasized following an open and collaborative approach in designing, building, implementing and managing generative AI solutions. This approach involves integrating multiple models from industry-leading providers into various cloud platforms.
In addition, we strive to provide customized solutions for each customer’s unique business requirements, leveraging the cutting-edge innovations of IBM Research and the capabilities of IBM Garage.
“According to a recent IBM IBV survey, executives surveyed expect that nearly half (48%) of staff within their organizations will use generative AI to enhance their day-to-day operations in the next year. Our years of AI experience have shown that enabling enterprise AI at scale requires a composable, multi-model strategy and a human-centered, principled approach,” said Finch, VentureBeat. told to “Also note that we treat our client data as our own and do not monetize it. I am not going to create one.”
According to the company, early use of the underlying models has yielded impressive results, with some clients significantly reducing time to value by 70% compared to traditional AI methods.
“Most of the AI in production today is machine learning, and adoption is accelerating, but it’s slow and expensive,” said Finch. “Many companies are using AI today, but the complexity and expense of creating and training new AI models makes it difficult to successfully move AI projects from pilot to production. ”
The tools in the CoE generation AI technology stack are designed to increase client productivity and drive innovation. Additionally, the CoE leverages the power of his IBM-exclusive AI “advisor” toolkit to seamlessly integrate into internal operations and client-centric initiatives.
“Emerging use cases have excited many leaders about the potential of generative AI applications for generating sales collateral or emails. Recruiting, writing code, transforming services to enable agent intent,” he said. “By adopting and integrating multi-model generative AI solutions tailored to the needs of each business, companies can empower their teams with innovative capabilities such as creative content and code creation, content summarization and search. ”
Finch said that as organizations look to explore the potential of generative AI in increasing productivity, improving employee satisfaction, and pioneering new business models, customer He added that the company is witnessing a noticeable uptick in interest.
“In HR, organizations are using generative AI to reimagine their promotion process, resulting in an 85% reduction in needed support,” he noted. “Masters used generative AI for AI-generated sports commentary to improve the fan experience. NASA worked with IBM to create an AI-based model that analyzes petabytes of text and remote sensing data. and makes it easy to build purpose-built AI applications.” Questions and Tasks. “
Ensuring Responsible and Ethical AI Adoption
Finch believes business leaders are prioritizing reliability and reliability of the AI systems they rely on to drive decisions and streamline processes. He emphasized that the effectiveness of AI depends on the quality of the input data, as the AI system itself faithfully reproduces the biases present in the data.
“At IBM Consulting, we recognize that gaining trust in AI, including generative AI, is a socio-technical challenge that technology alone cannot solve. There is,” Finch told VentureBeat. “We help clients establish organizational cultures around AI governance and responsible AI, build multidisciplinary and diverse teams, and consider the risks and unintended consequences of AI applications. ”
He said that just as IBM has successfully established a hybrid cloud services business leveraging the Red Hat OpenShift platform, IBM Consulting will also become a leading consulting service provider for generative AI platform Watsonx. said he was aiming for
While working with strategic partners to expand its consulting business, the company envisions developing specialized operations centered on Watsonx.
He predicts that foundational models in particular will propel us into a new era of AI for business.
“We see an incredible opportunity for AI to fundamentally transform how work is done within the enterprise,” said Finch. “The foundational model creates superior customer experiences, brings new kinds of productivity to core processes such as HR and finance, and creates entirely new business models. In addition, with one of the industry’s most comprehensive AI and hybrid cloud technology portfolios, we are exceptionally well positioned to help our clients succeed in this new era and are dedicated to enterprise advancement. AI.”
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