KPMG in India and Vianai Systems Launch Conversational Finance AI Solution for Enterprises

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KPMG in India and Vianai Systems have joined forces to introduce a groundbreaking solution for enterprises in the form of a Conversational Finance AI platform. The collaboration aims to empower finance professionals by equipping them with Vianai’s hila Enterprise, a Human-Centered AI (H+AI) solution.

This innovative offering will harness the capabilities of Vianai’s hila Enterprise to fine-tune and optimize enterprise systems of record. Primarily targeted at finance users, Conversational Finance will enable them to ask questions in natural language and receive immediate responses in the form of text, dashboards, charts, and more. These responses will be sourced from their systems of record, internal documents, public data, and other relevant data sources.

Artificial Intelligence (AI) adoption in enterprises, especially the use of Large Language Models (LLMs), has been limited due to concerns over accuracy and reliability, particularly in finance roles. The risk of LLM hallucinations and inaccuracies has deterred finance teams from fully embracing AI, resulting in a continued reliance on IT, analysts, and other resources to find answers to their queries.

Through their alliance, KPMG in India and Vianai Systems aim to address these challenges and transform the finance function in enterprises. By leveraging their respective expertise and resources, the companies aim to unlock the value of AI for finance professionals.

Sachin Arora, Partner and Head of KPMG Lighthouse (Analytics, AI, and Data) at KPMG in India, emphasized the need for accuracy, privacy, and security in the finance function. He highlighted the potential of LLMs in providing transparent and accurate insights into businesses, enabling finance functions to navigate the dynamic risk and regulatory landscape effectively.

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Dr. Sanjay Rajagopalan, Chief Design & Strategy Officer at Vianai Systems, expressed his excitement about delivering the power of AI to finance users. He emphasized the importance of transparency and speed in finance departments, noting that this collaboration with KPMG will make AI accessible to every organization across industries.

The hila Enterprise platform, used by finance CFOs, leverages AI tools, technologies, and techniques, including Vianai’s Zero Hallucination™ technology. This ensures LLMs are safer, more reliable, and contextually relevant for business users. By incorporating large public models, open-source language models, Vianai-built models, and customer-specific models, hila Enterprise allows users to query vast amounts of data in real-time.

Customers can interact with their transactional systems using natural language and receive instant responses generated from both public and private business data. The responses can take various forms, including dashboards, charts, and text.

In conclusion, the strategic alliance between KPMG in India and Vianai Systems aims to revolutionize the finance function in enterprises by leveraging the power of conversational AI. This collaboration will empower finance professionals with a reliable and accurate AI solution, enabling them to gain valuable insights and drive business transformation.

Frequently Asked Questions (FAQs) Related to the Above News

What is the collaboration between KPMG in India and Vianai Systems about?

The collaboration aims to introduce a Conversational Finance AI platform called Vianai's hila Enterprise, which will empower finance professionals by providing them with a Human-Centered AI (H+AI) solution.

How will the Conversational Finance AI platform benefit finance professionals?

The platform will enable finance professionals to ask questions in natural language and receive immediate responses in the form of text, dashboards, charts, and more. These responses will be sourced from their systems of record, internal documents, public data, and other relevant data sources.

Why has the adoption of AI, especially Large Language Models (LLMs), been limited in finance roles?

Concerns over accuracy and reliability, including LLM hallucinations and inaccuracies, have deterred finance teams from fully embracing AI. As a result, they continue to rely on IT, analysts, and other resources to find answers to their queries.

How do KPMG in India and Vianai Systems plan to address these challenges?

The companies aim to address these challenges by leveraging Vianai's hila Enterprise platform, which incorporates Vianai's Zero Hallucination™ technology. This technology ensures LLMs are safer, more reliable, and contextually relevant for business users.

What are the key benefits of using Vianai's hila Enterprise platform?

The platform allows users to query vast amounts of data in real-time, interact with transactional systems using natural language, and receive instant responses generated from both public and private business data. The responses can take various forms, including dashboards, charts, and text.

What emphasis do KPMG in India and Vianai Systems place on accuracy, privacy, and security?

The companies highlight the need for accuracy, privacy, and security in the finance function. They believe that AI, particularly LLMs, has the potential to provide transparent and accurate insights into businesses, helping finance functions navigate the dynamic risk and regulatory landscape effectively.

What does Dr. Sanjay Rajagopalan from Vianai Systems say about the collaboration?

Dr. Sanjay Rajagopalan, Chief Design & Strategy Officer at Vianai Systems, expresses excitement about delivering the power of AI to finance users. He emphasizes the importance of transparency and speed in finance departments and believes that this collaboration will make AI accessible to every organization across industries.

Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.

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