Day Two of DataHack Summit 2025: Convergence of International AI Gurus
GenAI Shines at DHS 2025: Pioneering Advances in AI and Web3
At the recent DHS 2025 conference, some of the brightest minds in the field of Artificial Intelligence (AI) gathered to share their latest discoveries and innovations. Here are some of the highlights from the event:
Revolutionizing the Web3 Ecosystem
Rohan Rao took the stage to demonstrate how GenAI is being used in the Web3 ecosystem, powering NFTs, smart contracts, and crypto security. His presentation showcased the potential of AI in streamlining these complex systems and making them more accessible to the masses.
Performance Marketing at Scale
Krishna Kumar Tiwari showcased how GenAI agents are revolutionizing performance marketing at scale. By automating and optimizing marketing strategies, these agents are helping businesses reach their target audiences more effectively and efficiently.
Streamlining Tool Integration
Nitin Agarwal and Rutvik Acharya demonstrated the Model Context Protocol, a tool that streamlines tool integration for agents. This innovation is set to make it easier for developers to build and manage AI systems, potentially leading to more widespread adoption of AI technology.
Collaborative AI-Assisted Applications
Anuvrat Parashar, Anand S, and Ravi RS Nadimpalli demonstrated collaboration in building AI-assisted applications. Their presentation highlighted the importance of collaboration in the development of AI systems and the potential for AI to facilitate collaboration in various industries.
Improving Food Delivery Query Results
Pankaj Agarwal showcased how RAG-powered search query optimization can improve food delivery query results. His presentation demonstrated the potential of AI in enhancing user experiences in everyday applications.
Measuring Confidence in Neural Networks and AI
Joshua Starmer, Founder & CEO of StatQuest, discussed the importance of measuring confidence in neural networks and AI. His talk emphasized the need for transparency and reliability in AI systems, ensuring that they can be trusted to make accurate decisions.
Superior Paradigm for Conversational Agents
Daksh Varshneya introduced Process Calling as a superior paradigm for conversational agents. His presentation outlined the benefits of this approach, including improved efficiency and effectiveness in AI-powered conversations.
Powering Production-Ready Solutions
Karan Sindwani revealed how GenAI is powering production-ready solutions across industries. His talk highlighted the practical applications of AI in various sectors, demonstrating its potential to transform industries and revolutionize the way we work.
Transforming Marketing with MCP-Driven Agents
Hitesh Nayak explored how MCP-driven agents can transform marketing. His presentation showcased the potential of AI in marketing automation, personalization, and analytics.
Strategies for Building Evaluators and Scaling Bias Analysis
Ayush Thakur presented strategies for building evaluators, aligning them with human preferences, and scaling bias analysis in AI apps. His talk emphasized the need for AI systems to be fair and unbiased, and outlined strategies for achieving this goal.
Solving Dynamic, Real-World Problems with Multi-Agent Systems
Alessandro Romano, Senior Data Scientist at Kuehne+Zagel, showed how multi-agent systems can solve dynamic, real-world problems. His presentation demonstrated the potential of AI in addressing complex, real-world challenges.
The Transformation of Traditional Data Roles
Anand S from Straive discussed the transformation of traditional data roles due to automation and AI. His talk highlighted the changes in the data industry and the skills required for success in the AI-driven future.
LLMs Performing Traditional Data Scientist's Workflow
Anand S, LLM Psychologist with Straive, discussed how LLMs can perform much of the traditional data scientist's workflow. His presentation outlined the potential of LLMs in automating data analysis and making it more accessible to non-experts.
Productionizing Agentic Systems
Miguel Otero Pedrido demonstrated how to productionize agentic systems with robust monitoring and LLMOps practices. His talk emphasized the need for robust systems to ensure the reliability and effectiveness of AI in real-world applications.
The Need for Inclusive, Fair, and Scalable AI
Manish Gupta, Senior Director at Google DeepMind, emphasized the need for AI to be inclusive, fair, and built for billions. His talk highlighted the importance of ethical considerations in AI development and the need for AI to benefit everyone, not just a select few.
The Top 7 GenAI Scientists Honored
Abhishek Divekar, Amit Sharma, Karan Sindwani, Logesh Kumar Umapathi, Mayank Baranwal, Sunny Manchanda, and Tanika Gupta were honored as Top 7 GenAI Scientists for their groundbreaking contributions. Their work has significantly advanced the field of AI, and their recognition is well-deserved.
Saving Ananya: A Brand AI Playbook for Customer Retention
Pavak Biswal and Abhilash Kulkarni presented Saving Ananya, a brand AI playbook for customer retention. Their presentation outlined strategies for using AI to improve customer retention and loyalty, highlighting the potential of AI in business.
Making AI More Efficient and Eco-Friendly
Ruchi Awasthi discussed techniques like pruning, quantization, and knowledge distillation to make AI more efficient and eco-friendly. Her talk emphasized the need for sustainable AI development and outlined strategies for achieving this goal.
Call for Directed Randomness and Novelty in GenAI Development
Harshad Khadilkar called for directed randomness and novelty in GenAI development. His talk emphasized the need for creativity and innovation in AI development and outlined strategies for achieving this goal.
Evaluating AI Agents: A Missing Piece at DHS 2025
Unfortunately, information about the lecture on evaluating AI agents on Day 2 at DHS 2025 was not available at the time of this report.
Accelerating, Evaluating, and Scaling Agent Systems
Saurav Agarwal showcased the Full-Stack Agentic AI toolkit to accelerate, evaluate, and scale agent systems. His presentation outlined the benefits of this toolkit and its potential to revolutionize AI development.
The Potential and Challenges of Synthetic Data Generation
Abhishek Divekar discussed the potential and challenges of synthetic data generation. His talk highlighted the benefits of synthetic data in AI development and the challenges that need to be addressed to ensure its reliable and effective use.
LLMs and Reinforcement Learning Converging to Make AI Embodied
Logesh Kumar Umapathi illustrated how LLMs and reinforcement learning are converging to make AI embodied. His presentation outlined the potential of this convergence and its implications for the future of AI.
Overall, DHS 2025 was a remarkable event, showcasing the latest advancements in AI and their practical applications. The innovations presented at the conference have the potential to transform various industries and improve our lives in numerous ways.
