Anthropic’s Claude dives into financial analysis Here’s what’s new

Forrester Research Inc. analyst Charlie Dai told Computerworld that hybrid automation and agentic AI will be major priorities for enterprise decision makers in the next three years. He said WNS’s domain-specific AI agents and platforms such as its AI.Agentic suite and WNS Expirus will substantially improve Capgemini’s own agent-focused BPS offerings. Cloud migration has shifted from a question of “if” to one of “how fast and how well.” For today’s enterprise leaders, the true differentiator is not just reaching the cloud, but doing so with efficiency, predictability and readiness for an AI-powered future. Nelissen said the cloud-first strategy had also been important for enabling NAB to quickly adopt new AI platforms as they emerged.

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A key foundation of NAB’s data and AI strategy was an earlier decisions to take a cloud-first approach to new systems adoption. Users can also access pre-built MCP connectors for financial data providers, such as FactSet and Pitchbook, to pull in timely external market data. MCP connectors offer users an open standard for securely connecting AI assistants to data systems. “The Financial Analysis solution is a comprehensive AI solution that really aims at transforming how finance professionals analyze markets, conduct research, and make investment decisions,” said Nicholas Lin, head of product, FSI, at Anthropic, to ZDNET. Capgemini said the addition of WNS will act like a catalyst, transforming it into an intelligent operations leader, with both the required scale and unique capabilities ranging from strategy and transformation to horizontal and vertical sector expertise. The acquisition will enable Capgemini to create a consulting service that’s focused on helping companies boost business process and cost efficiency through the use of generative AI and agentic AI technology.

Define a clear migration strategy aligned with business goals.

Finally, buyers must consider how their chosen model will interact with their existing application suite and specifically ask whether the native integrations offered by some models offers a compelling advantage. While enterprise licences for models have become common, these also require a degree of sophistication to ensure that organisations scope their requirements appropriately and do not overspend in comparison to what they really need. For would-be users, this sudden emergence of a range of newly minted tools – each with their own specific capabilities – presented additional complications when weighing up what to use as the basis for AI projects. The bank has been actively growing its footprint and has demonstrated consistent financial performance with recent expansion initiatives across East Africa.

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• As financial data is highly sensitive, Anthropic reassures users that the data is not used to train generative models and adheres to the data protection and regulatory compliance required of financial institutions.
• Over the past year, Spacely AI has grown revenue 10×, served more than 1,500+ architecture and interior-design firms in 50+ countries, and produced over two million unique renders.
• Advanced AI and analytics will turn raw data into actionable insights, while AI and ML will streamline data processing.
• Danske Bank, one of Europe’s largest financial institutions, migrated 16,600 servers and 25 PB of data to AWS using hyper automation.

By approaching migration as a strategic enabler, organizations can achieve agility, resilience and innovation while minimizing disruption. At NAB, chief data and analytics officer Christian Nelissen said the bank’s intention was to make data ‘like electricity’ in its ability to power simple, safe, and more personalised banking experiences for customers. ThetaRay’s platform incorporates cutting-edge innovations, including the Generative AI Risk Catalog, which enables compliance teams to manage evolving regulatory and operational risks more effectively. The pre-configured and continuously updated system allows institutions to deploy relevant, explainable, and regulator-aligned risk typologies at scale, similar to how AI is revolutionizing financial inclusion across Africa. The timing of this partnership is particularly significant given the evolving regulatory environment in East Africa. Central banks across the region are increasingly emphasizing intelligence-led oversight and digital reporting capabilities.

In practice, AI-driven translation platforms ingest legacy codebases, parse and map logic to cloud-native constructs and automatically generate target code. Machine learning models, trained on millions of lines of code, enable these platforms to recognize patterns, optimize queries and suggest architectural improvements. Automated validation and testing frameworks further ensure that translated code is functionally accurate and high-performing in its new environment. AI-powered code translation and automation now enable organizations to accelerate migrations, minimize risk and achieve rapid cutovers, unlocking the full potential of the cloud and AI. As digital transformation accelerates, automation of code translation and, in particular, AI-driven code translation, has emerged as a critical enabler for organizations seeking to modernize at scale.

This development aligns with broader trends in Africa’s digital transformation, where technological innovation is driving financial inclusion and regulatory excellence across the continent. This partnership sets a new benchmark for East African financial institutions, demonstrating how AI-first compliance can serve as both protection against financial crime and a catalyst for sustainable growth. As regulatory landscapes across the region continue to evolve, I&M Group’s proactive approach to risk governance positions it well for continued expansion and success. It signifies a fundamental shift in how East African financial institutions approach compliance and risk management. The initiative comes at a time when financial crime is becoming increasingly sophisticated across Africa, with AI-driven identity fraud and deepfake attacks surging sevenfold in recent years. About PropTech FarmPropTech Farm is a venture capital firm investing in early-stage real estate technology companies across Asia-Pacific and Europe.

Backed by an experienced team with a track record of successful exits, the firm focuses on startups transforming the built environment across the full lifecycle-from planning and construction to property management and energy optimization. PropTech Farm combines hands-on support with global networks to help founders scale innovative solutions in complex, high-growth markets. SiliconANGLE Media is a recognized leader in digital media innovation serving innovative audiences and brands, bringing together cutting-edge technology, influential content, strategic insights and real-time audience engagement. Once your automated approach is proven, progressively migrate larger and more complex workloads in subsequent phases. This structured strategy helps meet critical deadlines and ensures business continuity throughout the migration journey. According to Forrester, organizations adopting AI-driven automation in cloud migration are achieving faster transitions, greater agility and improved operational efficiency—key advantages for enterprises modernizing at scale.

Automation cut the migration timeline in half, reduced costs by 50% and replaced weeks of manual runbook creation with seconds, enabling rapid, secure and large-scale cloud adoption. In the future, sensors and IoT analytics combined with AI will help firms understand consumers’ context and intent. Advanced AI and analytics will turn raw data into actionable insights, while AI and ML will streamline data processing.

As financial data is highly sensitive, Anthropic reassures users that the data is not used to train generative models and adheres to the data protection and regulatory compliance required of financial institutions. Over the next decade, we believe that consumers will shift from rigid, predetermined paths to cocurated, conversational journeys. They’ll take a more active role in deciding where, what, and how they consume content, information, and advice. Banks and platforms will reduce cognitive load by delivering the right content or services at the moment of need, dynamically assembling content and services based on data and context, providing actionable suggestions, and acting on behalf of consumers with their permission. “In three years, we’ve quickly gone from establishing foundations and building pipelines to a data platform that now manages all AI and BI data workloads, powers business critical use cases and is delivering at massive scale and in near real-time,” Nelissen said.

• Map migration priorities to outcomes such as accelerating innovation, enabling real-time analytics or supporting new digital business models.
• This structured strategy helps meet critical deadlines and ensures business continuity throughout the migration journey.
• Conversational banking has emerged in recent years, and advancements in AI are set to further transform consumer interactions within financial services.
• The partnership introduces a comprehensive, AI-powered compliance infrastructure that consolidates multiple processes into a single unified system.
• The Verge recently named Spacely AI one of the most-recommended AI tools for design professionals.

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Enterprises that seize this capability will not only accelerate their migrations, but will also unlock the agility, resilience and innovation required to lead in the AI-driven future. The organizations that act now will shape the standards and set the pace for digital transformation in their industries. Nomura Research Institute leveraged AWS Transform’s agentic AI to automate the analysis, documentation and code translation of millions of lines of mainframe COBOL and JCL. This AI-driven approach reduced code analysis and migration time from months to weeks, enabling rapid, accurate modernization with minimal manual effort. Automation was central to the process, enabling rapid data ingestion, transformation and analytics, unlocking new business insights and accelerating scientific innovation.

In a study of over 400 operations executives across more than 30 countries in Europe, the Middle East and Africa, results show that manufacturing companies believe strongly in AI’s potential to increase profitability. “I’m really excited about the ability for Claude to actually start creating work production and outputs for users, so this includes things like creating PowerPoint documents and Excel from scratch,” said Lin.