Cognizant Expands Synapse Initiative to Reach Two Million People by 2030

Dec 17, 2025
Cognizant has announced an expansion of its Synapse skills initiative, setting a new goal to equip two million people worldwide with digital skills by 2030 after surpassing its initial target ahead of schedule.

Cognizant announced in a press release that it is expanding its Synapse skills initiative with a new goal of training two million people worldwide by the end of 2030. The program, launched in 2023, had already exceeded its original target of reaching one million people by 2026.

The Synapse initiative focuses on improving digital and AI-related skills across global workforces. It includes partnerships with governments, academic institutions, nonprofits, and industry leaders to provide training and development opportunities. The company also supports community education and workforce readiness programs.

As part of the expansion, Cognizant plans to grow its learning and development resources, strengthen partnerships with educational institutions, and deliver branded learning experiences for clients and nonprofit partners. The company will also increase philanthropic funding aligned with Synapse’s mission to prepare individuals and communities for a more AI-driven economy.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like AI in Education, Enterprise AI Brief or Daily AI Brief.

Also, consider following us on social media:

AI in Education Enterprise AI AI Brief AI Brief (X)
Free newsletter

AI in Education

Weekly newsletter about AI in education. Covers AI-driven software for educators, schools, general innovations and regulatory updates.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.