FINANCIAL SERVICES

Newer, faster, designed-for-AI compute accelerates alpha generation, improves investment strategies and results in more successful trade execution.

With Graphcore technology, financial institutions can harness the power of AI to learn from vast amounts of data and respond quickly to market fluctuations. Technology teams can devise entirely new AI approaches taking advantage of Graphcore's fine-grained architecture, to generate superior returns for clients.

AI is having a seismic impact on the insurance industry, which is shifting from “detect and repair” to “predict and prevent,” transforming every aspect of the industry in the process.

Claims triage and repair services are triggered automatically by applying highly accurate computer vision models to policy holders' photos and video, creating fast and accurate assessments.

Brokers, consumers, financial intermediaries, insurers, and suppliers can take the lead by using Graphcore IPU-powered AI compute to enhance decision making and productivity, lower costs, and optimize the customer experience.

With Graphcore AI compute, large institutional investors, hedge funds and quants can harness the power of machine intelligence to learn from huge amounts of data and respond quickly to market fluctuations.

Natural language processing can analyse vast amounts of online text to achieve deeper market insight and predict stock price shifts in record time.

New combinations of models and innovative approaches made possible by the IPU's unique fine-grained architecture deliver a real competitive edge in an industry where speed and differentiation make all the difference

For global banking, McKinsey estimates that AI technologies could potentially deliver up to $1 trillion of additional value each year.

IPU-powered AI systems can help boost revenues through increased personalization of services to customers; lower costs through efficiencies generated by higher automation, reduced errors rates, and better resource utilization; and uncover new and previously unrealized opportunities based on an improved ability to process and generate insights from vast amounts of data.

Leading, AI-first banks are moving beyond conversational bots for basic request handling to use computer vision and natural language processing to scan and process documents, machine learning to detect fraud patterns and cybpersecurity attacks and real-time transaction analysis for risk monitoring