In this episode, James Calise and Jason Murphy from Oracle discuss the evolution of cloud infrastructure, AI integration, and the unique challenges faced by the financial market data industry. They explore how Oracle is differentiating itself with enterprise-grade performance, security, and regional deployment capabilities.

Oracle Cloud Infrastructure - https://www.oracle.com/cloud/

Jason Murphy LinkedIn - Jason Murphy | LinkedIn

James Calise LinkedIn - https://www.linkedin.com/in/jamescalise/

key topics

Oracle's journey to cloud and enterprise focus

Performance and security in cloud infrastructure

AI integration in financial services

Regional and sovereign cloud deployment

Market data distribution and latency challenges

Regulatory considerations for cloud and AI

Chapters

00:00 Introduction to Oracle's Cloud Journey

02:43 Oracle's Unique Position in the Cloud Market

05:22 Transitioning from On-Prem to Cloud Solutions

08:37 Jason's Journey from Exegy to Oracle

11:34 Differentiating Oracle Cloud Infrastructure

14:44 Key Challenges in Capital Markets

17:38 The Importance of Network and Resiliency

20:22 Market Data and Cloud Integration

23:35 AI's Role in Market Data and Cloud Infrastructure

32:12 The Evolution of AI and Market Data

34:35 Cloud as the Democratizer of AI

37:34 Navigating AI Models and Cloud Relationships

42:24 Determinism vs. Probabilistic AI in Financial Markets

46:59 Regulatory Landscape and Data Sovereignty

54:25 The Future of AI and Entrepreneurial Opportunities

DAVID ANDERSON -- https://www.linkedin.com/in/atradia/

Will Cowling | https://www.linkedin.com/in/will-cowling-58451451/LinkedIn

Understanding the EU Market Data Regulation Changes - with Will Cowling

In this episode, David Anderson is joined by Will Cowling to break down the upcoming changes in EU market data licensing and regulation, focusing on the RTS and RCB standards that come into effect in August 2026. This discussion covers the impact on exchanges, vendors, and end-users, highlighting practical steps for preparation and compliance.

Key Topics:

• Overview of the EU RTS (Regulatory Technical Standards) and RCB (Reasonable Commercial Basis)
• Timeline for implementation and key dates (notably August 23, 2026)
• Major articles causing industry change, including Article 5.1d (client fee categories) and Article 15 (audit provisions)
• How exchanges like AQUIS, BME, CBOE, Deutsche Börse, Euronext, and others are adapting their policies
• Implications for different market participants, including client firms and vendors
• The importance of updating inventory and application management systems
• The shift towards ongoing, live audits and entitlement reporting
• Cross-border effects and applicability outside the EU
• Practical recommendations for firms to prepare and potential pitfalls to avoid

Note:

For clients and vendors, this podcast highlights critical actions: update inventory and entitlement systems, review exchange policies, and prepare for continuous audit requirements to ensure compliance by August 2026. Stay vigilant for further updates from regulators and exchanges.

DAVID ANDERSON -- https://www.linkedin.com/in/atradia/

https://www.linkedin.com/in/yousafhafeez/
https://tnsi.com/resource/waypoint/tns-financial-markets-business-and-radianz-combine-to-form-waypoint-trading-solutions-press-release/

This podcast features a discussion between David Anderson and Yousaf Hafeez regarding the evolution of BT Radiance into its new identity, Waypoint, following a merger with TNS International. Hafeez explains that their core mission is providing a managed infrastructure that simplifies market data connectivity, replacing expensive "do-it-yourself" models with a single, resilient connection to global exchanges. The conversation highlights key industry trends, such as the demand for ultra-low latency services, increasing regulatory compliance like DORA, and the expansion into emerging markets such as India and the Middle East. Furthermore, they address the intersection of cloud technology and AI, stressing that high-quality data is the essential foundation for effective machine learning models. Ultimately, Waypoint serves as a comprehensive solution for financial participants seeking efficient, end-to-end access to a vast array of global trading applications and raw data feeds.

DAVID ANDERSON -- https://www.linkedin.com/in/atradia/