Infosys Announces Google Cloud Center of Excellence for AI Innovation
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Key Takeaways
⇨ Infosys has launched a new Google Cloud center of excellence to empower organizations to leverage generative AI for growth and transformation, enhancing collaboration between Infosys Topaz services and Google Cloud technologies.
⇨ The initiative aims to address the gap in AI maturity among organizations, providing them with resources and support to develop GenAI-powered solutions and improve their competitiveness in the market.
⇨ Organizations are encouraged to prioritize AI adoption and customization, as tailored solutions are essential for meeting specific business needs and driving innovation in today's fast-paced digital landscape.
Infosys Limited has announced a new center of excellence that aims to help companies to use the power of generative AI to grow and transform. Powered by the Infosys Topaz services, solutions and platforms, the new Google Cloud center of excellence provides a new space for organizations to develop and experiment with GenAI-powered solutions.
“The strengthened collaboration with Google Cloud represents a strategic alignment in our mission to lead enterprise AI innovation. Combining the expertise of Infosys Topaz AI offerings with Google Cloud’s leading technologies, we are empowering enterprises to harness the real power of generative AI through collaboration and co-innovation. The center of excellence exemplifies our shared vision with Google in advancing digital frontiers and delivering exceptional, data-driven solutions to clients worldwide,” said Balakrishna D. R. (Bali), Executive Vice President, Global Services Head, AI and Industry Verticals at Infosys in a press release.
This new initiative aims to build upon the relationship that Infosys and Google Cloud share. Infosys has already helped more than 60,000 employees on Google Cloud to better address challenges and meet goals. The Google Cloud Center of Excellence aims to provide a collaborative environment where users can develop their own AI-powered solutions in areas like software development lifecycle, text-to-image, application modernization, and more.
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Meeting the Market
The Infosys and Google Cloud center of excellence announcement comes at a time when organizations are beginning to realize that AI and automation are not merely nice to have or a passing fad. These technologies hold the potential to change the way businesses operate and hold the keys to more dynamic innovation. Yet many organizations are unprepared to fully leverage these capabilities.
SAPinsider’s recent AI State of Adoption benchmark research report found that just 21% of SAP organizations feel they are ahead of their competition in terms of AI maturity and only 23% had any access to GenAI at all. This center of excellence provides an opportunity for these organizations to learn more about GenAI, find ways to leverage it in their daily workflows, and improve their standing relative to their competitors.
“Infosys and Google Cloud are committed to providing customers with the industry expertise and technology needed to accelerate digital transformation. The center of excellence is a testament to our strong collaboration and dedication to helping businesses innovate with breakthrough solutions powered by generative AI,” said Victor Morales, Vice President of GSI and Consulting Partnerships at Google Cloud in a press release.
What This Means for SAPinsiders
Better together. Though adopting AI tools is important, many companies are falling behind because they do not have the resources or skills needed to implement full-scale adoptions of new tools. Fortunately, many solutions feature embedded AI and solutions like Infosys’ new center of excellence provide an opportunity for them to develop their own unique solutions that are GenAI-powered.
The time for AI is now. If your organization has not begun AI adoption in earnest, now is the time to start. To remain competitive, companies need every single tool at their disposal to boost productivity, innovation, and digital transformation.
Customization is key. There will never be a perfect one-size-fits-all solution for any significant obstacle, including AI. Organizations need to be able to develop their own customized tools that meet their specific needs and integrate seamlessly into their workflows.
