TD SYNNEX Introduces High-Growth Technology CoE to Propel Digital Transformations

By Stefania Viscusi

TD SYNNEX recently launched a High-Growth Technology Center of Excellence (CoE) aimed at accelerating its partners’ capabilities in navigating the complexities of their digital transformations.

The new initiative will equip partners with the tools and knowledge they need to thrive as “Partners of the Future.” It integrates AI across critical technology domains such as cloud computing, cybersecurity, data analytics, and modern infrastructure.

This latest move builds on the success of the company’s Destination AI initiative, launched last year to help partners start or expand their AI practices. IDC predicts the digital transformation market will reach $2.9 trillion by 2027. The new CoE positions partners to fully engage and capitalize on growth.

The CoE not only offers a comprehensive suite of services and resources tailored to help partners expand their business but also to help them adapt to the rapid technological evolution that is happening. The offerings include: Practice Builder Experiences, AI Accelerator Workshops, and the High-Growth Solutions Factory, which provides aggregated AI solutions incorporating security, cloud, modern infrastructure, and data analytics.

Lisa McGarvey, Vice President of Data, IoT, and AI at TD SYNNEX North America, emphasized the importance of AI in transforming the technology landscape.

"As AI continues to rapidly transform the technology ecosystem, it is challenging our partners to diversify their portfolios, hone new skills, and develop unique expertise," McGarvey said. "We see the ‘Partner of the Future’ as one who is ready for that challenge and understands how these technologies must be woven together."

A key component of the CoE is Cyber Range, an innovative environment where partners can engage with experts to enhance their cybersecurity skills through live demonstrations and proofs of concept. The CoE also provides new AI services and assessments to help fill the skill gaps in data science and engineering.




Edited by Greg Tavarez
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