Manulife Chooses Adaptive ML to Scale AI Enterprise Software Using Reinforcement Learning

Manulife Chooses Adaptive ML as Reinforcement Learning Engine to Scale Enterprise AI

In a move to enhance its proprietary AI platform, Manulife has announced its selection of Adaptive ML as its reinforcement learning engine. The partnership aims to optimize model tuning in real-time, ultimately enhancing customer experiences and elevating company value.

Based in New York, Adaptive ML specializes in reinforcement learning technology, providing tools for fine-tuning and deploying open-source small-language models (SLMs) specifically designed for enterprise applications. This capability is expected to empower Manulife in crafting tailored AI solutions that cater directly to its business objectives.

Jodie Wallis, Manulife's Global Head of AI, emphasized the significance of this partnership, stating, "We are pushing forward in expanding our AI platform, and Adaptive ML's capabilities enable us to provide groundbreaking solutions that enhance speed, accuracy, and innovation. Beyond deploying large language models for specific applications, our strategic implementation of specialized models will offer distinct advantages in both accuracy and cost efficiency."

The multiyear contract between Manulife and Adaptive ML underscores the rapid evolution of AI in highly regulated industries. As AI technology continues to permeate various sectors, the collaboration is seen as a blueprint for how conventional businesses can adopt AI in meaningful ways. Julien Launay, CEO of Adaptive ML, remarked, "Manulife demonstrates leadership in the widespread application of enterprise AI, showcasing how regulated sectors should adopt this technology."

The partnership is set to unlock new practical applications, such as automating underwriting offers, executing complex processes, and supporting sales representatives in their advisory roles. These pilot applications will be the first to leverage the platform for broader scaling and expedited deployment.

Shamus Weiland, Head of IT at Manulife, noted, "Manulife is embedding AI across nearly every aspect of our business. Our collaboration with Adaptive ML will help us accelerate our initiatives while breaking down barriers for our customers. We are committed to equipping our teams with innovative tools that drive reliable and responsible scaling of solutions, ultimately creating value."

This commitment to advancing AI capabilities has helped position Manulife as a leader in the industry. Recently, the company was recognized as the top life insurance company for AI maturity in the first Evident AI Index focused on insurance, highlighting its efforts towards innovation and customer-oriented solutions. Manulife has been actively investing in AI functionalities since 2016, and this latest collaboration is a significant step forward in that journey.

As the demand for effective AI solutions rises, this partnership represents a proactive approach in addressing the complexities involved in AI deployment within traditional frameworks. Adaptive ML will assist Manulife in navigating these challenges while focusing on sustainability and responsible AI as outlined in its publicly accessible Responsible AI Principles.

By utilizing a model tuning program in conjunction with SLMs, Manulife anticipates a reduction in energy consumption over time while maintaining optimal performance.

In summary, the strategic alliance between Manulife and Adaptive ML not only points to a future driven by advanced AI capabilities but also reinforces the commitment to responsible and sustainable practices in the realm of enterprise technology. For more insights into Manulife’s advancements in AI, visit AI @ Manulife.

Conclusion

Manulife's partnership with Adaptive ML signifies a pivotal moment in its quest to become a data-driven organization that leverages AI for enhanced customer service and operational efficiency. As the landscape of AI continues to evolve, this collaboration exemplifies a powerful strategy to navigate the intricate challenges of integrating cutting-edge technology into traditional industries.