CX BFSI Exchange | Banking & Financial Services
Everpure is heading to Miami. We’re a Silver Sponsor at the CX Banking and Financial Services Exchange, October 13–14. Dona Munsch, VP of CX Platforms and Delivery at Everpure, will join a panel on a big AI question: Can you trust the output if you can’t trust the data? The discussion will dig into what happens when customer data is fragmented across inconsistent systems, and what a validated data foundation needs to look like before AI can deliver reliable results. Attending? Drop a comment and let’s connect in the Silver Sponsor zone.AI in Finance Summit New York
AI in Finance Summit New York Pure Storage is a platinum sponsor of the AI in Finance Summit in New York on April 15th and 16th. Stop by our booth to learn about how Pure can help with your enterprise AI initiatives and be sure to check out Michael Cornwell's keynote address on the 15th. At the AI in Finance Summit, where cutting-edge research meets application in financial services, explore exclusive insights and advanced technical use cases presented by AI experts and data scientists from the Banking, Financial Services, and Insurance sectors.STAC Summit, London
STAC Summit - London Come visit us at STAC Summit London on April 29th! Pure Storage will be sponsoring and presenting so join our session or stop by our table. STAC Summits bring together CTOs and other industry leaders responsible for solution architecture, infrastructure engineering, application development, machine learning/deep learning engineering, data engineering, and operational intelligence to discuss important technical challenges in trading and investment. Topics tend to cluster in four areas: Quant technology. Architectures for big data and big compute workloads such as model training, strategy research & backtesting, tick analytics, alt data processing, market and credit risk, portfolio optimization, fraud detection, and compliance. Low-latency infrastructure. Architectures for fast decision making and trade execution, primarily in automated trading. Networks, FPGA, servers, software, and other technologies for market data, trading and matching algorithms, execution, and trade-time risk. Command and control. Monitoring of trade flows, time synchronization, and orchestration and management of on-prem and cloud-based infrastructure. AI/ML. Architectures and infrastructure for models and data exploration, training, and inference with deep neural networks (especially LLMs) and statistical machine learning on-prem and in the cloud. While applied AI may be part of quant technology and low-latency topics, there will be a separate, dedicated AI Track at the London STAC Summit that focuses on the AI infrastructure needs of finance, from banking and insurance to trading and investment —from the model to the metal™.
