Market access
Real-time market data managed services: Evolution, not revolution
Managed services help capital markets firms enhance resilience, scalability, security and agility while retaining strategic control.
Davy enjoys efficiency gains in wake of FIS back-office implementation
How FIS helped Davy future proof operations through automation, data and scale.
Davy enjoys efficiency gains in wake of FIS back-office implementation
How FIS helped Davy future proof operations through automation, data and scale
Firms look to AI and automation to enhance corporate actions processing and increase STP rates
AI and automation are modernizing corporate actions processing, improving STP rates and reducing operational complexity
Firms look to AI and automation to enhance corporate actions processing and increase STP rates
AI and automation are modernizing corporate actions processing, improving STP rates and reducing operational complexity
Reshaping risk and trading workflows
LSEG’s strategic partnership with Microsoft is reshaping how financial services are built, delivered and experienced
Trusted data fundamental to AI efficacy across the capital markets
As firms modernize infrastructures and embed AI into critical workflows, high-quality pricing and reference data will continue its evolution from operational necessity to competitive advantage
Fixed income is changing. Is your data strategy keeping pace?
Firms are strengthening data governance, transparency and trust to navigate increasingly complex markets and make investment decisions with greater confidence
Taking stock of US equities market structure
The evolution of US stock exchanges, how securities trade and how market data is disseminated
Solving the entity resolution problem that’s costing firms millions
The Kensho Link update is one component of S&P Global's broader strategy to support clients across every stage of their AI journey
The future of pricing and reference data: Unlocking AI’s potential in financial operations
AI is reshaping the PRD landscape, allowing firms to address challenges while preparing for the future
Unifying portfolio management and trading functions within modern buy-side firms
An integrated front-to-middle-office platform can help firms streamline workflows, improve execution outcomes and generate deeper investment insights
From latency to flexibility: The evolution of LSEG’s real-time data business
LSEG’s real-time market data business supports the push toward managed, cloud-based solutions, addressing legacy constraints while future proofing data strategies.
The infrastructure gap: Capital markets operations 2026
When institutional adoption outpaces operational reality
From manual SSIs to T+1 readiness: How AI is reducing settlement risk
Practical strategies to automate SSI capture, validation and authentication under compressed settlement timelines.
The road to alpha is paved with hardware
Fully hardware-based systems are the natural evolution of capital markets infrastructure
Pricing fixed-income securities: Light at the end of the tunnel?
The challenges facing fixed-income market participants, including obtaining pre-trade pricing information for large numbers of fixed-income securities
Future-proofing the client life cycle: A COO’s blueprint for scalable, compliant growth
Learn how capital markets COOs are transforming the client life cycle to reduce costs, accelerate onboarding and scale operations—without increasing head count
Harnessing LLMs for financial alpha
Fine-tuned language models are transforming sentiment analysis and signal generation from news data
Optimizing front-, middle- and back-office workflows through managed services
Firms can build the business case for managed services, reduce dependence on legacy platforms, and create a data and operating foundation ready for advanced analytics and AI-driven automation
Firms look to decommission legacy tech and embrace a range of cloud-based tools
A survey of capital markets firms reveals a demand for cloud-native analytics and increased adoption of AI technology. However, challenges around cost and migration complexity persist when it comes to cloud migration.