Date Recorded: Wednesday, February 6, 2019
When it comes to the fast-paced nature of capital markets and IoT, the ability to analyze data in real time is critical to gaining an edge. It’s not just about the quantity of data you can analyze at once, it’s about the speed, scale, and quality of the data you have at your fingertips.
Modern streaming data technologies like Apache Kafka and the broader Confluent platform can help detect opportunities and threats in real time. They can improve profitability, yield, and performance. Combining Kafka with Panopticon visual analytics provides a powerful foundation for optimizing your operations.
Use cases in capital markets include transaction cost analysis (TCA), risk monitoring, surveillance of trading and trader activity, compliance, and optimizing profitability of electronic trading operations. Use cases in IoT include monitoring manufacturing processes, logistics, and connected vehicle telemetry and geospatial data.
This webinar includes in depth practical demonstrations of how Confluent and Panopticon together to support key applications. Watch this webinar to learn:
- Why Apache Kafka is widely used to improve performance of complex operational systems
- How to implement systems that enable users to analyze operational data in real time
- How to quickly identify and act on anomalies, fast-emerging trends, clusters, and outliers
- How to scale data ingestion and data processing
- Build new analytics dashboards in minutes
VP Panopticon Streaming Analytics
Peter Simpson is responsible for driving the vision and strategy for Datawatch’s Panopticon streaming analytics solutions. Peter joined Altair through the acquisition of Panopticon where he held the role of SVP Research & Development and had responsibility for product strategy, development, sales engineering and services, and helped to successfully expand the customer base to most top tier global financial institutions.
Prior to Datawatch, he was Product Manager at Instant Information, a provider of news analytics solutions to trading desks. He also held analytical roles at HSBC Global Markets within Technology, Equities, and Research for several years. Peter holds a MSc in Info Systems Engineering and a BSc in Physics with Space Science & Technology.
Partner Solutions Architect
Tom Underhill is responsible for helping Confluent’s many partners become successful implementing solutions using the Confluent Platform. Tom joined Confluent after several years consulting in the Big Data and Analytics space where he led technical teams delivering large scale integration projects. His passion has always been around liberating data from silos, turning batch into real time, and building systems that scale.