Introduction
The banking, financial services and insurance (BFSI) sector is in the midst of a technological revolution, with artificial intelligence (AI) offering the potential to reshape operations, customer experiences and business models.
But what exactly does this AI-driven future look like for banks, insurers and other financial institutions? And how are OpenText and TCS working together to turn AI ambitions into practical, value-generating solutions?
We have the mantra of bringing the AI to the data and not the other way around. That way you do not lose control.
Lars Rossen
SVP & Chief Architect, OpenText
Introduction
The banking, financial services and insurance (BFSI) sector is in the midst of a technological revolution, with artificial intelligence (AI) offering the potential to reshape operations, customer experiences and business models.
But what exactly does this AI-driven future look like for banks, insurers and other financial institutions? And how are OpenText and TCS working together to turn AI ambitions into practical, value-generating solutions?
"We have the mantra of bringing the AI to the data and not the other way around. That way you do not lose control."
Lars Rossen
SVP & Chief Architect, OpenText
Topics explored in this whitepaper
Navigating the challenges of AI adoption
Despite the enormous potential of AI in finance, its adoption is not without challenges. One of the primary concerns is around ethical and responsible AI use in an industry where decisions can have financial and personal impacts on customers.
The power of partnership
While the potential of AI in finance is immense, realising this potential demands a deep understanding of the BFSI sector. The partnership between OpenText and TCS brings together unique strengths that set it apart from other industry players.
The human element in an AI-driven future
As AI capabilities continue to advance, much has been said about the future role of human workers in the BFSI sector. However, as the executives highlight, AI is set to augment, rather than replace, human capabilities.
Topics explored in this whitepaper
Navigating the challenges of AI adoption
Despite the enormous potential of AI in finance, its adoption is not without challenges. One of the primary concerns is around ethical and responsible AI use in an industry where decisions can have financial and personal impacts on customers.
The power of partnership
While the potential of AI in finance is immense, realising this potential demands a deep understanding of the BFSI sector. The partnership between OpenText and TCS brings together unique strengths that set it apart from other industry players.
The human element in an AI-driven future
As AI capabilities continue to advance, much has been said about the future role of human workers in the BFSI sector. However, as the executives highlight, AI is set to augment, rather than replace, human capabilities.
Unlock AI's transformative potential
Looking ahead, AI is set to become an increasingly integral part of the BFSI landscape. “Given AI’s potential to add complementary value, it will become mainstream in the BFSI industry, Unnikrishnan predicts. “Going forward, BFSI firms will increasingly leverage composite AI technologies – both predictive and Gen AI – for disruptive transformation."
Unlock AI's transformative potential
Looking ahead, AI is set to become an increasingly integral part of the BFSI landscape. “Given AI’s potential to add complementary value, it will become mainstream in the BFSI industry,” Unnikrishnan predicts. “Going forward, BFSI firms will increasingly leverage composite AI technologies – both predictive and Gen AI – for disruptive transformation."
Unlock AI's transformative potential
Looking ahead, AI is set to become an increasingly integral part of the BFSI landscape. “Given AI’s potential to add complementary value, it will become mainstream in the BFSI industry,” Unnikrishnan predicts. “Going forward, BFSI firms will increasingly leverage composite AI technologies – both predictive and Gen AI – for disruptive transformation."
© 2024 OpenText. All rights reserved.
© 2024 OpenText. All rights reserved.