Generative AI is transforming how businesses work.
Generative AI has demonstrated its ability to produce high-quality written, audio, and visual content that could easily be mistaken as being created by a human. It’s also transforming software development through easy code generation. These technological advances have brought with them unprecedented changes in how businesses operate.
The implications cut across industry verticals as well as technology horizontals. Knowledge management, contact centers, IT service desks, marketing functions, regulatory functions—all these areas and more are being impacted. When infused with generative AI, business processes and enterprise integrations can benefit from augmented intelligence and efficiencies, whether it is automating routine tasks or generating content and code.
Take advantage of generative AI to gain a competitive edge.
TCS works with companies to help them co-pilot and steer their generative AI-driven business reimagination journeys on Azure OpenAI and GitHub Copilot by bringing in an advisory-driven structured approach to scaled adoption. Our approach to enterprise adoption of generative AI is based on a framework for Discovery, Assessment, Ideation, and Strategy (DAIS).
By using our contextual knowledge and incorporating best practices from our collaboration with clients and ecosystem partners, we help companies take advantage of the exponential benefits of generative AI.
We can help you use generative AI to grow your revenue, drive path-breaking new innovations, and get more work done—faster, better, and more cost-effectively.
No matter which industry you are in, you can benefit from our know-how and experience and learn how you can gain an early advantage from generative AI.
You can gain from our collaboration with Microsoft and our work with clients on many industry-specific use cases, proofs of concepts, and pilots using Azure OpenAI Service and GitHub Copilot. Some specific examples include:
Banking and financial services – Mitigate risks and enhance fraud detection, improve financial advisory capacity, automate back-office processes, expedite underwriting, generate documents faster, optimize prices, enhance customer experience, and improve financial reporting.
Life sciences and healthcare – Improve patient outcomes with assistive clinical trial studies, streamline drug discovery, foster more personalized medicine, and enhance medical imaging.
Retail – Create designs at a lower cost, automate digital experiences for online shopping, enhance marketing and promotions, generate trend analysis, and offer more personalized customer service.
Utilities – Enhance efficiency, better assist field engineers, improve maintenance and repair documentation, empower customers with AI-powered virtual assistance, and create better safety training.
Hospitality – Streamline and personalize customer services and content generation, develop AI-powered digital assistants to resolve issues and improve results, and respond to customer suggestions and cross-sell more intelligently.
Cross-industry – Improve service desk intelligence and reduce service wait times, provide automate response to natural language queries by leveraging enterprise knowledge base, optimize supply chain and inventory forecasting, create and summarize content faster, share social media conversational analytics, and improve career development for employees.