Apama Webinars

Event Title

Description

Event-Based Trading Systems - Addressing a New Generation of Requirements

This webinar will introduce an algorithmic platform that incorporates event-based information processing, or event processing. During this webinar you will hear about the architecture required to build event-based trading systems, learn the roles of business and IT in creating successful strategies, discover the use of testing and analysis within the trade strategy lifecycle, and view real world examples of event-based trading solutions spanning different asset classes.

Fixed Income Gets Serious with Algorithmic Trading

Algorithms are well known for products like equities and foreign exchange. But, what about fixed income? Is the market structure, liquidity, and connectivity mature enough to benefit from algorithms? In this Wall Street & Technology TechWebcast, Apama’s Dr. John Bates, Brad Bailey of the AITE Group, and Eric Karpman, Vice-President, BNY Asset Management take a look at the structure of today’s fixed-income markets to see where algorithms may be applicable.

The Next Generation of Algorithms

During this webinar you will hear how you can leverage new tools to customize trading algorithms, learn how the next generation of algorithms will span asset classes, find out how leading-edge institutions are exploiting high frequency techniques, and discover a platform with integration capabilities that incorporate a variety of data - not just tick data – to enrich your algorithmic strategies.

Gain the Upper Hand with High Frequency Trading

During this webcast Jeff Wagner and Chris Belthoff discuss how companies such as Symbol Technologies, CaseBank Technologies and the US Army have used effective data synchronization concepts to eliminate the network as a point of failure, automatically and bi-directionally synchronize data, and replicate data among distributed databases.

The Emerging Market for Event-Driven Systems

Event Stream Processing (ESP) is a new paradigm of distributed computing that supports the real-time event processing of multiple event streams with the goal of identifying meaningful events within those streams. Download this recorded webcast and find out how an event stream processing (ESP) architecture addresses the real time demands of competitive businesses.

Emerging Trends in Algorithmic Trading

In this webcast John Bates explores emerging trends of Algorithmic Trading or Algo Trading. He talks about the requirements of today's trading strategy models and what trends we may see in the future.

The Emerging Opportunity for Algorithms in FX Trading and Hedging

The opportunities for algorithmic platforms in FX have risen significantly. FX trading volumes continue to rise, with spreads narrowing and a flourishing demand for access to alternative pools of liquidity. Many market participants are investigating how algorithmic trading platforms can leverage FX opportunities more effectively – whether for trading or risk management.

Event Title

Description

Putting Intelligence into Business Activity Monitoring
Using CEP and BAM for Fraud & Compliance Monitoring

With CEP you can monitor and act on complex business conditions immediately and deliver the real potential of Business Activity Monitoring (BAM).& Listen to this recorded webinar, hosted by Dr. John Bates and Dr. Giles Nelson, to see real world examples of how CEP and BAM can support applications for fraud and compliance monitoring.

Putting Intelligence into Business Activity Monitoring
CEP-The Brains Behind BAM

Listen as Dr. Giles Nelson, one of the first inventors of CEP technology, and Mark Palmer, General Manager of Progress Apama, talk about the technology of complex event processing. Find out how CEP -when coupled with BAM dashboards - provides an intelligent, action-aware BAM infrastructure for the enterprise, and explore applications like algorithmic trading, fraud detection, and compliance, and architectures at the leading adopters of CEP and BAM.

PART 3: Get Up to Speed on ESP - Event Replay and Analysis

Effective backtesting is a key component to building effective algorithmic trading strategies. By testing prospective algorithms on historical data, traders can better evaluate how well a strategy would have performed during different market periods - using real data as the test bed for the evaluation. Listen to an interactive session in which Louis Lovas, Progress Apama Technical Fellow, and John Trigg, Progress Apama Prinicipal Product Manager, discuss some of the challenges involved with the capture of production event streams and the design of applications that execute important backtesting and analysis operations.

PART 2: Get Up to Speed on ESP - Architectural Foundations

Listen as Mark Palmer, VP of Event Processing and Dr. John Bates, VP Apama Products, explore the key elements that should be considered when picking a strategic event stream processing platform. Hear how an event processing platform differs from a mere "engine", what makes an it truly scalable, and how to leverage real event stream data to test and analyze applications.

PART 1: Get Up to Speed with Event Stream Processing with Experts from Progress Software

For this Webinar we gave attendees the opportunity to ask three Event Stream Processing experts questions about their specific ESP needs. Attendees were able to take advantage of the collective experience of Mark Palmer, VP of Event Processing, Dr. John Bates, VP Apama Products, and John Trigg, Principal Product Manager.

Transform RFID into Operational Insight

The live, interactive webcast will explore the principles of Event Stream Processing (ESP) and how to apply them to new and existing RFID infrastructures. ESP enables organizations to monitor, analyze and act on streaming event data such as RFID. The webcast will demonstrate, through example, how to exploit the rich capabilities of ESP to transform raw RFID signals into valuable business information that delivers ROI and strategic value.

ESP for the Oil & Gas Industry

In this webcast, Chris Martins and John Trigg present an alternative way to monitor, analyze and act on high volumes of streaming event data - Event Stream Processing (ESP). ESP is a powerful and reliable way to monitor the flow of complex data, analyze patterns and detect anomalies.

The New Frontier: Radio Frequency Identification (RFID) and Event Stream Processing

An interview by John Persinos, Editorial Director - Larstan Business Reports, with Mark Palmer, VP of Event Stream Processing & RFID, and Giles Nelson, Director, Business Development and co-Founder of Apama - Progress. This webcast talks in detail about the advancements in RFID and the role that event stream processing will have for future RFID deployments.

Turning RFID Data into Business Value - Leveraging Application Level Events (ALE)

Ken Traub and John Trigg will review the ALE standard and discuss how ALE-based data sharing and other emerging RFID standards will enhance system interoperability and enable companies to gain more value from their RFID deployments.

Practical Methods for Building an Optimal RFID Infrastructure (WMV)

This webcast is #3 in a series of 3 RFID webcasts. This webcast is ideal for anyone who is seriously considering, or currently planning, to deploy an RFID data management environment. This webcast explores the technologies that are being used today and how they will fit into your RFID infrastructure. Guest speaker: Ken Traub of ConnecTerra, Inc.

Seven Principles of RFID Data Management (WMV)

This webcast is #2 in a series of 3 RFID webcasts. This is the ideal webcast for anyone who understands the fundamentals of RFID, but would like to learn more about how to architect their data management infrastructure to adapt to RFID.

RFID: The Basics (WMV)

This webcast is #1 in a series of 3 RFID webcasts. This is the ideal webcast for anyone who needs to understand the fundamentals of RFID.