Harnessing Real-World AI Opportunities for Quantifiable Results
AI is driving revenue growth. In 2024, according to Google Cloud, 74% of enterprises using generative AI (GenAI) reported ROI within the first year, with 86% of those increasing revenue by more than 5%. These organizations moved from use-case definition to production within six months. Across business functions like operations, marketing, software development, and IT, GenAI is being used to improve customer experience, automate tasks, and gain data-driven insights. Enterprises of all sizes can move quickly to optimize operations and drive rapid growth with AI.
Harnessing Opportunity for Tech Mahindra Clients
Tech Mahindra has launched TENO & Agent Launchpad to accelerate customer journeys across AI & GenAI use cases. These platforms enable organizations to systematically discover, experiment, scale, and sustain AI initiatives as they evolve toward increasing sophistication. These platforms are fully compatible with Google's technology stack, creating a seamless integration pathway for clients invested in Google Cloud solutions.
Insights-Driven Growth
A key Tech Mahindra client and multinational automobile manufacturer offers a wide range of electric vehicles alongside its iconic gas-powered models. As a major player in the industry, this automaker has established a formidable reputation selling cars, trucks, and EVs in North America and across Europe. In its pursuit of innovation, the client is pushing the boundaries of self-driving technology. They are combining traditional automotive excellence with cutting-edge technological advancements for a strong position of industry leadership.
This automaker is using AI to transform data into market intelligence they can use to make important business decisions. By leveraging GenAl, the client has streamlined the process of obtaining valuable insights from diverse data sources, reducing the time spent on manual searches and making their marketing workforce more agile in their production of day-to-day deliverables. With Tech Mahindra’s help, the client’s solution employs Google Cloud’s Vertex AI and the Gemini 1.5 Pro foundation model, along with many other APIs to enable data flow integration and to generate searchable insights.
Speed, Scale, and Compliance
A Tech Mahindra client in the healthcare sector recognized AI’s potential to drive greater campaign effectiveness — and greater revenue. The client, an American biopharmaceutical company, operates in a highly-regulated market. The U.S. healthcare sector has strict data protections and limitations, and the client needed to reach specific audiences at scale within these regulatory constraints.
Building on Google Cloud, Tech Mahindra developed a data-driven solution, powered by AI and machine learning. The solution uses Google Cloud’s BigQuery and Looker Studio to analyze historical data and generate insights that today help the client optimize strategic sales, marketing strategy, resource allocation, and investment targeting.
Operational Efficiency
A leading home appliance manufacturer with a diverse workforce faced communication challenges due to language barriers. To address this, they partnered with Tech Mahindra and Google Cloud to develop an AI-driven solution called EveryVoiceEverywhere. This mobile application, built using FlutterFlow and powered by Google Cloud’s GenAI, including Vertex AI and Google Cloud Translation, translates announcements and company guidelines into multiple languages, incorporating speech-to-text and text-to-speech functionalities. This solution improves workplace safety, operational efficiency, and employee engagement, and it creates a more inclusive environment by eliminating language barriers.
Getting Started With AI
To get the most value from AI, Tech Mahindra recommend five best practices:
- Be intentional: Identify a specific opportunity where AI might add value, versus adopting AI for the sake of it.
- Use quality data: Correctly formatted, accurate data is foundational to any successful AI initiative.
- Start small: A pilot project is the ideal way to build confidence and experience.
- Experiment to learn: A test-and-learn mentality is needed and should be fostered across teams.
- Equip your team: Encourage and invest in training to develop expertise.
Google Cloud and Tech Mahindra help enterprises leverage their data and AI assets across the organization with GenAI solutions to scale on the AI journey. Tech Mahindra’s design thinking-led approach and frameworks help identify GenAI opportunities, while experts identify the right GenAI strategy and roadmap for each unique organization. Tech Mahindra streamlines the transition to Google Cloud and helps organizations customize their AI needs.
To learn more, visit https://www.techmahindra.com/alliance/google-cloud-partnership/
