A Born Digital and Agile Company with Diverse Competencies

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LEVERS POWERING OUR EXCELLENCE

A BORN DIGITAL AND AGILE COMPANY WITH DIVERSE COMPETENCIES

We are a ‘Born Digital . Born Agile’ company with end-to-end capabilities across the digital lifecycle of companies in diverse industries supported by our wide-ranging technology expertise. These make us an attractive partner to rapidly deliver strategically viable, futuristic, and transformative digital solutions.

Born Digital and Agile

We are 96% digital and 94% agile business. It powers our ability to fulfill customers’ digital transformation requirement seamlessly, frictionlessly and in the shortest time with a robust delivery engine. Key factors enabling this include:

Multi-year partnerships with global Independent Software Vendors (ISVs) for software products, to ensure high configurability and operational performance of our solutions to address diverse needs
Top-notch software engineering talent, knowledge of modern methodologies and productivity tools, and strong project management practices
End-to-end capabilities across software development lifecycle and ongoing support

Our Multi-Technology and Multi-Industry Capabilities

Our multidimensional technology expertise and domain knowledge enable us to help enterprises achieve digital transformation, support engineering of next-generation products and platforms, and ensure that their infrastructure is agile and secure. This positions us at the forefront of driving change and innovation in the industry.

Our wide-ranging abilities

Happiest Minds Multi-Technology and Multi-Industry Capabilities

Stepping-up to Capitalize on Generative AI and ChatGPT Opportunity

Generative AI, especially Transformers, has revolutionized the industry by showcasing the creative potential of AI beyond predictions. It has a history of over five years, beginning with Generative Adversarial Networks (GANs) and deepfakes, and evolving into the Transformer model, before culminating in GPT. OpenAI’s ChatGPT is a major milestone in this area.

Text, images, and videos are among the many applications of Transformers, drastically shortening time to build AI-based applications. It has opened endless possibilities from content creation and product development to marketing and beyond.

Generative AI Use Cases

EdTech

AI tutor as a cost-efficient and effective way to mentor students
Instructor Assistant for better pedagogy to provide real-world conversation experience
Flash card creation and personalized student summaries for better learning outcomes
Creating personalized easy-to-consume educational content (Audio/Video/Content)

HealthTech

Research and analysis of medical data including specific medical conditions, treatments, drugs, or clinical trials
Extracting structured patient data from various (unstructured) documents

BFSI

Investment advice to asset managers by analyzing the current financial situation and investment objective
Compliances and regulatory mandates

Other Common Applications

Video generation using textual content, summarizing an article, virtual assistant and language translation
Create additional information automatically by giving core information
Information extraction (unstructured to structured data) from free-flow documents like resumes and medical reports

Happiest Minds Generative AI Approach

At Happiest Minds, we have explored various applications of Generative AI, including GAN for advertising, transformer-based models for semantic search, and Q&A generation to enhance customer engagement. More recently, we have delved into its latest models and developed a comprehensive approach encompassing text, image, and video data. We are focused on two use cases: (1) generating text and numeric data for AI training and (2) developing downstream applications.

The approach has enabled us to generate large-scale datasets with minimal data, a critical aspect of machine learning training. Additionally, we have aligned with industry problems such as detecting fake reviews on e-commerce websites and converting 2D images to 3D, that find applications in retail, marketing, industrial, automotive, and healthcare sectors. These enabled us to develop practical and impactful AI solutions using GAN and Transformer Technologies.

Building capabilities and training engineers

Following ChatGPT disruption, we are now concentrating on building technical capabilities/use cases around it, including deepening understanding of Large Language Models (LLMs), POCs, and training people to be ready

We have formed a focused team to research this area, especially:

To provide more relevant and personalized search results for all domains
Fine-tuning models to specific tasks or domains, with focus on EdTech and BFSI
Integrating productivity improvement use cases like code correction/generation, automated testing, etc. in the engineering process. The quality Engineering team is exploring opportunities to expedite test cases generation and automation for efficient troubleshooting and validating fixes
Evaluating Open Source LLMs like LLaMa, BioBERT, FinBERT, etc. to understand data generation quality

Gearing for future

The space of Generative AI, Transformers and LLMs are rapidly evolving, and open-source models hold promise for new use cases and continued advancement. ChatGPT, being an AI language model, is constantly evolving and improving. New image-based Generative AI like Dall-E have also emerged, enabling interactive content creation.

Our dedicated task force is constantly tracking latest developments, including technological advancements, competitors move, changes in customer needs, etc. based on which we will evolve our Generative AI strategy.