Wipro’s Lab45: Revolutionizing Business with AI 🚀

The Wipro Way: A Global AI Powerhouse 🌎

Who is Wipro? 🤔 A global IT giant, ranking among the top 10, with 200,000+ employees across 66 countries.
What is Lab45? 🧪 Wipro’s innovation hub, focused on cutting-edge tech like AI, VR, robotics, and more.

A Year of Transformation: 📅 Witnessing a surge in demand for Generative AI solutions from Fortune 2000 companies.
Doubling Down on Gen AI: 💪 Investing heavily in developing next-gen applications and agents powered by Generative AI.

Horizontal Solutions: 💼 Addressing common business needs in HR, sales, marketing, and operations.
Vertical-Specific Focus: 🎯 Optimizing industry-specific challenges, particularly in talent management for Wipro.
Why Azure? ☁️ Leveraging Azure OpenAI for its corporate-friendly offerings and seamless integration with Microsoft tools.
The Power of Pinecone: 🌲 Choosing Pinecone for its versatility, stability, and robust vector database capabilities.

Four-Tiered Training Program: 📚 Equipping all 200,000+ employees with Generative AI skills through a comprehensive curriculum.
Level 1: Gen AI Fundamentals 📖 Understanding LLMs, prompt engineering, and context management.
Level 2: Advanced Prompting ✍️ Mastering the art of crafting effective prompts for optimal results.
Level 3: Document Intelligence 📑 Harnessing the power of Pinecone to work with diverse document formats and languages.
Level 4: Building Gen AI Agents ⚙️ Creating intelligent agents that can automate complex tasks across multiple systems and data sources.

HR Revolution: Streamlining Policy Interpretation 📑
- Challenge: Spending 2-3 days on average to answer policy-related queries.
- Solution: Built an AI-powered app using Pinecone to search and interpret 5,000+ policies in multiple languages.
- Results: Reduced resolution time to under one day, improved employee experience, and empowered HR teams.
Contract Intelligence: Predicting Profitability 📄
- Challenge: Assessing the potential profitability of contracts during the bidding process.
- Solution: Developed a custom model that combines LLM with classical AI techniques like deep learning and neural networks.
- Results: Gained valuable insights into contract profitability, enabling better decision-making and risk management.

Scaling Up: Handling Massive Datasets 📈 Moving towards even larger data sets (10,000+ documents) and integrating structured data with unstructured information.
The Rise of Gen AI Agents 🤖 Empowering users to build their own low-code/no-code agents that can leverage various LLMs, data sources, and AI models.