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Talent, Scale, and AI-first Growth: The Infosys - Databricks Story
How Infosys Topaz and Databricks are helping enterprises modernize data, scale talent and accelerate AI-first transformation.
Watch the video to hear Nayan Puthal, AVP, Practice Manager, Data Analytics and AI at Infosys, and Amit Bagga, Senior Director, Global Strategic Partner at Databricks, discuss how the Infosys–Databricks partnership is helping enterprises become AI-first.
The conversation explores how Databricks’ data intelligence platform and Infosys’ delivery strength, industry context and talent transformation capabilities come together to simplify data modernization, accelerate AI adoption and unlock measurable business value for clients across industries.
Turning Data Intelligence into Enterprise Impact
Enterprises are moving from AI experimentation to AI-first growth, where data, people and processes must work together and at scale. In the discussion, Amit highlights how Databricks simplifies and democratizes data and AI, while Infosys brings deep enterprise knowledge, transformation experience and implementation scale to help clients modernize their data estates with confidence.
The partnership is already creating momentum across industries such as retail, manufacturing, energy and financial services. By combining strong data foundations with AI-led services and industry-specific context, Infosys and Databricks are helping organizations accelerate migration, modernization and value realization.
Scaling Talent for the AI-first Enterprise
The conversation also highlights the role of talent transformation in taking the partnership to the next level. With Infosys’ strong learning ecosystem and Databricks’ focus on data and AI enablement, both organizations are working to scale certifications, workshops and capability building through deeper learning platform integration.
Looking Ahead
As AI evolves through large language models, small language models and agentic AI, Infosys and Databricks are focused on helping enterprises leapfrog to the next stage of data and AI transformation. Together, they aim to make data intelligence a reality for every employee and every process on a global scale.
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