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Collation.AI with Tanmai Sharma | E340
Manage episode 439130351 series 2154765
In this episode of Fintech Impact, host Jason hosts Tanmai Sharma, the CEO and Founder of Collation.AI. The discussion revolves around how Collation.AI addresses the pervasive issue of data integration challenges within financial services through AI-driven solutions. By focusing on creating a centralized data warehouse and utilizing AI chatbots for workflow operations, Sharma shares insights on enhancing data utility and streamlining services in the sector.
Episode Highlight:
- 00:09: Jason introduces the episode and guest Tanmai Sharma, CEO and Founder of Collation.AI. Understanding the company's mission illuminates the episode's focus on solving data integration and workflow challenges in financial services through advanced AI technologies.
- 04:29: Sharma underscores the flexibility and scalability of their solution compared to traditional methods, which often rely on manual data management. This part of the conversation emphasizes the efficiency and accuracy benefits of using AI and bots for data synchronization tasks.
- 08:54: The role of artificial intelligence in enhancing data management and user interaction with Collation.AI's platform is discussed. Sharma elaborates on how AI aids in analyzing unstructured data and simplifying interactions through moderated conversations with a chatbot.
- 11:11: Discussing the future vision for Collation.AI and the broader Fintech sector, Sharma speculates on the move towards data standardization. This future direction promises to further streamline data handling across platforms, potentially revolutionizing how financial data is managed and utilized.
- 14:36: Sharma reflects on his professional journey and the evolution of Collation.AI. His insights provide a personal perspective on the challenges and opportunities in leveraging technology to solve complex data issues in the Fintech domain.
Key Points:
- The integration of AI and bot technology in managing financial data can significantly reduce the complexity and enhance the efficiency of data workflows.
- Collaboration between technology providers and financial professionals is key to addressing the ongoing challenges of data integration, accuracy, and utilization.
- The journey of adapting advanced technologies in traditional sectors like finance underscores the importance of experience, knowledge, and continuous innovation in solving industry-wide problems.
Tweetable Quotes:
- "It should be a criminal offense to have the data and not use it correctly." - Tanmai Sharma
- "We're not competing with anyone; our competitor is a human being. Our solution is in a very different zip code." - Tanmai Sharma
- "Every customer gets a separate data warehouse...it's easier, cheaper, faster, more reliable." - Tanmai Sharma
Mentioned Resources:
- Facebook – Jason Pereira's Facebook
- LinkedIn – Jason Pereira's LinkedIn
- Woodgate.com – Sponsor
- Podcast Editing
- https://www.linkedin.com/in/tanmai-sharma-9b1777/
- https://collation.ai/
Hosted on Acast. See acast.com/privacy for more information.
348 قسمت
Manage episode 439130351 series 2154765
In this episode of Fintech Impact, host Jason hosts Tanmai Sharma, the CEO and Founder of Collation.AI. The discussion revolves around how Collation.AI addresses the pervasive issue of data integration challenges within financial services through AI-driven solutions. By focusing on creating a centralized data warehouse and utilizing AI chatbots for workflow operations, Sharma shares insights on enhancing data utility and streamlining services in the sector.
Episode Highlight:
- 00:09: Jason introduces the episode and guest Tanmai Sharma, CEO and Founder of Collation.AI. Understanding the company's mission illuminates the episode's focus on solving data integration and workflow challenges in financial services through advanced AI technologies.
- 04:29: Sharma underscores the flexibility and scalability of their solution compared to traditional methods, which often rely on manual data management. This part of the conversation emphasizes the efficiency and accuracy benefits of using AI and bots for data synchronization tasks.
- 08:54: The role of artificial intelligence in enhancing data management and user interaction with Collation.AI's platform is discussed. Sharma elaborates on how AI aids in analyzing unstructured data and simplifying interactions through moderated conversations with a chatbot.
- 11:11: Discussing the future vision for Collation.AI and the broader Fintech sector, Sharma speculates on the move towards data standardization. This future direction promises to further streamline data handling across platforms, potentially revolutionizing how financial data is managed and utilized.
- 14:36: Sharma reflects on his professional journey and the evolution of Collation.AI. His insights provide a personal perspective on the challenges and opportunities in leveraging technology to solve complex data issues in the Fintech domain.
Key Points:
- The integration of AI and bot technology in managing financial data can significantly reduce the complexity and enhance the efficiency of data workflows.
- Collaboration between technology providers and financial professionals is key to addressing the ongoing challenges of data integration, accuracy, and utilization.
- The journey of adapting advanced technologies in traditional sectors like finance underscores the importance of experience, knowledge, and continuous innovation in solving industry-wide problems.
Tweetable Quotes:
- "It should be a criminal offense to have the data and not use it correctly." - Tanmai Sharma
- "We're not competing with anyone; our competitor is a human being. Our solution is in a very different zip code." - Tanmai Sharma
- "Every customer gets a separate data warehouse...it's easier, cheaper, faster, more reliable." - Tanmai Sharma
Mentioned Resources:
- Facebook – Jason Pereira's Facebook
- LinkedIn – Jason Pereira's LinkedIn
- Woodgate.com – Sponsor
- Podcast Editing
- https://www.linkedin.com/in/tanmai-sharma-9b1777/
- https://collation.ai/
Hosted on Acast. See acast.com/privacy for more information.
348 قسمت
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