Hitachi Unveils Framework to Scale AI Operations in Finance

The financial technology sector faces mounting pressure to operationalise artificial intelligence (AI) systems at scale, as organisations struggle to move beyond pilot programmes. 

Research indicates that over 50% of AI initiatives fail to advance past minimum viable products, highlighting the need for robust operational frameworks.

The GenAIOps approach

"We're living in an era where everyone is adopting Generative AI to tackle big challenges using natural language instructions," says Vitor Domingos, Lead Solutions Architect, EMEA at Hitachi Digital Services. "From automating customer support to spotting fraud in real time, GenAI is reshaping how businesses operate."

The methodology combines established practices from DataOps, MLOps and DevOps to create an operational framework. "GenAIOps addresses the practical challenges of deploying and managing AI systems," says Vitor. "It brings together established practices to create a framework for building, testing, and scaling AI solutions."

"We're focusing on operational excellence," Vitor explains, "managing data workflows, selecting the right algorithms, and optimising retrieval processes to ensure systems are both scalable and efficient."

Framework implementation

"GenAIOps isn't just about technology," Vitor explains. "It's about building systems that are trustworthy, effective and aligned with an organisation's core values."

Hitachi Digital Services has developed what Domingos describes as a game-changing R2O2.ai Framework to implement GenAIOps principles. Though relatively new, the system, which stands for Reliability, Responsibility, Observability and Optimisation, builds on the company's two decades of experience in AI implementation.

"The framework includes a library of over 25 customisable models, so fintech firms can adapt it to their unique needs without starting from scratch," says Vitor. "Real-time observability features give organisations the transparency they need to stay compliant with regulations like GDPR and PCI DSS."

The framework streamlines deployment pipelines, helping financial institutions bring innovations to market faster. "R2O2 slashes the timeline from pilot to production from months to weeks," Vitor notes. "With reliability and responsibility baked in, it ensures GenAI systems are ethically sound and robust."

Industry transformation

"Generative models are redefining critical processes like fraud prevention, customer onboarding and personalised financial advice," Vitor notes. "Imagine a fraud detection system that not only flags suspicious activity but also learns from new threats on the fly. Or customer onboarding workflows that feel tailor-made for each client, improving satisfaction and reducing churn."

The adoption of Gen AI marks a transition from experimental concept to operational reality in finance. "For fintech organisations, this isn't just another buzzword; it's a game changer," says Vitor. "With GenAIOps, they can unlock the full potential of Gen AI while tackling the operational and governance hurdles that come with it."

Strategic implementation

"The stakes couldn't be higher," Vitor emphasises. "Over 50% of AI projects fail to move beyond pilots or MVPs because many organisations lack the operational frameworks needed to turn cool prototypes into scalable, production-ready systems."

The Centre for GenAIOps, an industry body focused on responsible AI development, has published a Generative AI Manifesto outlining implementation principles. "In fintech, transparency, compliance and governance are non-negotiable," says Vitor.

The framework includes features for automation and scalability, with proactive governance capabilities built into its core. The emphasis on observability provides organisations with transparency needed for regulatory compliance, while optimisation features enable adaptation to specific requirements.

"Success isn't just about technology," Vitor concludes. "It's about mindset. Fintech leaders need to see GenAIOps as a strategic imperative, investing in the people, processes and tools that will make it work."

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