Genpact and Microsoft Have Joined Forces in a Strategic Collaboration
Grace Mahas — July 26, 2023 — Tech
References: venturebeat
Genpact and Microsoft have joined forces in a strategic collaboration to provide Genpact's global talent access to Microsoft's Azure OpenAI Service. This partnership aims to unlock new possibilities in implementing generative AI capabilities and solutions for their mutual clients.
Genpact plans to leverage large language models (LLMs) to harness the potential of gen AI, driving enterprise efficiencies across various domains such as transition management, global service desk management, and infrastructure management.
To support employees in utilizing Microsoft Azure's AI tools and foster a culture of continuous learning and innovation, Genpact will provide comprehensive training programs and resources. This includes Genpact's online learning platform Genome, the data literacy initiative DataBridge, and a machine learning (ML) incubator.
The collaboration between Genpact and Microsoft aims to strengthen gen AI capabilities and provide actionable business insights, making a significant impact for their clients. They are committed to responsible AI development, ensuring privacy, data quality, and mitigating data drift issues.
Looking ahead, Genpact plans to refine talent in data science, AI, ML, and engineering. They aim to upskill current employees through training programs to meet the evolving client requirements and continuously invest in R&D and strategic partnerships with leading technology providers to enhance their capabilities in AI and generative AI.
Genpact plans to leverage large language models (LLMs) to harness the potential of gen AI, driving enterprise efficiencies across various domains such as transition management, global service desk management, and infrastructure management.
To support employees in utilizing Microsoft Azure's AI tools and foster a culture of continuous learning and innovation, Genpact will provide comprehensive training programs and resources. This includes Genpact's online learning platform Genome, the data literacy initiative DataBridge, and a machine learning (ML) incubator.
The collaboration between Genpact and Microsoft aims to strengthen gen AI capabilities and provide actionable business insights, making a significant impact for their clients. They are committed to responsible AI development, ensuring privacy, data quality, and mitigating data drift issues.
Looking ahead, Genpact plans to refine talent in data science, AI, ML, and engineering. They aim to upskill current employees through training programs to meet the evolving client requirements and continuously invest in R&D and strategic partnerships with leading technology providers to enhance their capabilities in AI and generative AI.
Trend Themes
1. Generative AI Solutions - The collaboration between Genpact and Microsoft aims to unlock new possibilities in implementing generative AI capabilities and solutions for their mutual clients.
2. Continuous Learning and Innovation - Genpact will provide comprehensive training programs and resources to support employees in utilizing Microsoft Azure's AI tools and foster a culture of continuous learning and innovation.
3. Upskilling in AI and ML - Genpact plans to refine talent in data science, AI, ML, and engineering, upskilling current employees through training programs to meet evolving client requirements.
Industry Implications
1. Business Process Outsourcing - The collaboration between Genpact and Microsoft presents disruptive innovation opportunities in utilizing generative AI capabilities to drive enterprise efficiencies across various domains within the Business Process Outsourcing industry.
2. Technology Consulting - The partnership between Genpact and Microsoft provides opportunities for technology consulting firms to offer comprehensive training programs and resources to clients in utilizing AI tools and fostering a culture of continuous learning and innovation.
3. Data Science and Analytics - Genpact's focus on refining talent in data science, AI, ML, and engineering creates disruptive innovation opportunities in the Data Science and Analytics industry, enabling businesses to leverage AI capabilities and meet evolving client requirements.
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