Alok Aggarwal, CEO & Chief Data Scientist of Scry Analytics | TBCY Podcast

Alok Aggarwal, CEO & Chief Data Scientist of Scry Analytics | TBCY Podcast

  • Auriga’s Innovation: Discover how Auriga outperforms traditional LLMs by leveraging industry-specific data for advanced knowledge management.
  • LLM Challenges in B2B: Learn about the limitations of LLMs in business contexts and how automated prompt generation offers a solution.

Podcast

Overview

Auriga and Colacio: A New Horizon in Knowledge Management

Alok Aggarwal introduces us to Auriga, a cutting-edge project under Colacio, named after the well-known constellation. Unlike large language models (LLMs) and GPTs that rely primarily on public internet data, Auriga focuses on creating knowledge management systems tailored specifically for businesses. This approach ensures that confidential company data is used securely and effectively, overcoming typical B2B challenges like ‘hallucinations’ and incorrect responses commonly found in LLMs.

Overcoming B2B Limitations and Automated Prompt Generation

Alok highlights the limitations of LLMs in B2B scenarios, citing their lack of training on specific company data and the resultant issues. Auriga tackles these challenges head-on by utilizing automated prompt generation and subject matter expertise in specialized industry verticals like investment banking. This reduces the dependency on user-generated prompts, enhancing accuracy and relevance.

Semantic Search and Personas

The conversation then steers towards innovative features of Auriga, such as semantic search and persona creation. The system automatically generates 15-20 prompts based on specific guardrails and hints, optimizing user interaction without overwhelming them. Such functionalities make Auriga a game-changer for complex, data-heavy industries.

Real-World Applications and Complexity

Auriga shines in intricate sectors like investment banking, though less sophisticated industries (e.g., call centers, tourist information) might not necessitate such advanced systems. Alok also notes the extreme complexity of the healthcare sector, which Auriga has yet to explore.

Reflections on KPO and Gurgaon

Drawing from his experiences with Evaluzer in Gurgaon, Alok reflects on the growth of the knowledge process outsourcing (KPO) industry and the parallel development of the city. He cautions against overestimating technological growth, drawing parallels between past and current predictions in KPO and Generative AI sectors.

AI’s Economic Impact and Technology Hype Cycles

Citing a McKinsey report, Alok explores the astronomical potential of AI, predicting an economic impact between $11 trillion to $22 trillion by 2030. He also provides a reality check on technology hype cycles, likening the excitement around AI to past tech booms like railways, which, despite initial investment losses, eventually benefitted society.

The Future of KPO Industry

Alok foresees a transformative phase dubbed KPO 2.0, driven by advancements in LLMs. This upcoming era could shift human roles from creation to verification, significantly impacting the Indian IT and KPO industries over the next decade.

Personal Insights and Philosophies

Alok shares his intriguing personal journey, reflecting on his formative years in Delhi, his career shift from academia to entrepreneurship, and his passion for building homes—having constructed 16 houses in New York and a Hindu temple. His personal brand, encapsulated in the values of innovation, humility, integrity, and grit, is a testament to his multifaceted life.

Views on World Issues

Alok expresses deep concerns about climate change, prioritizing it over AI-related job disruptions. He believes the looming threat of climate change requires urgent action to prevent catastrophic impacts on livelihoods.

Publications and Projects

Always an educator at heart, Alok is the author of “The 4th Industrial Revolution in 100 years of AI, 1950 to 2050,” and is working on making free educational content derived from his book available on platforms like Khan Academy and Coursera.

In-Depth Technical Exploration: Document Reconciliation

Towards the end of the episode, Alok delves into the technical intricacies of Scry Analytics’ work, explaining how NLP and AI systems achieve human-level accuracy in document reconciliation, leveraging millions of pages of data. This highlights their goal of reaching a 98.5% accuracy benchmark, combining AI capabilities with human checks for optimal results.

RESOURCES:

Learn more about Alok Aggarwal: Linkedin

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  • Auriga’s Innovation: Discover how Auriga outperforms traditional LLMs by leveraging industry-specific data for advanced knowledge management.
  • LLM Challenges in B2B: Learn about the limitations of LLMs in business contexts and how automated prompt generation offers a solution.
  • AI’s Economic Impact: Hear Alok’s predictions on AI’s transformative potential, drawing parallels with past technological revolutions.

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