Tech Mahindra has been one of the early movers and has been maturing its AI & Advanced Analytics practice over last 5 years.
Developed multiple use cases across key industries such as manufacturing (warranty 360 analytics), retail (customer sentiment, video/ image analytics), etc. Also established an advanced analytics CoE, which has become the entry point for customers to co-create along with it. The CoE provides a sandbox environment to test use cases and enhance customer-specific solutions.
Tech Mahindra has accelerated its go-to-market strategy through its best-of-breed IP and platforms, including TAP (big data platform), iDecisions (report templates by vertical), PRISM (predictive analytics), etc.
Tech Mahindra is leveraging its areas of strength in telecom, media and entertainment, manufacturing, and retail & CPG to build strong competencies and client base. It has also started to utilize outcome-based commercial models extensively for client engagements.
Tech Mahindra has been developing close partnerships with core technology providers. For instance, it works closely with Avaamo, a leader in conversational artificial intelligence (AI), to build solutions in areas such as the internet of things, AI, and ML. This collaboration helps Tech Mahindra access newer enterprise clients in multiple industries while also expanding its global footprint in the US, UK, Netherlands, Germany and the Nordics.
It has a number of majority stakeholders such as in Comviva, Targetgroup, FixStream and Sofgen, through which it continues to build new technologies and specialized services for communication, media and entertainment, banking, pharma and networking customers.
Investments and Innovation
Its USD 10M strategic investment in FixStream Networks, a US-based big data analytics start-up, has enabled it to provide enhanced capabilities in IT operations analytics (ITOA) through the Meridian platform.
Partnered with Gao Feng Advisory Company, a Chinese business consulting firm, to set up a joint AI lab in Shanghai to work on emerging areas, including NLP, image recognition, predictive analytics, and ML.
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