Webinars

The corporate banking industry approaches 2027 at a critical inflection point, as macro headwinds, trade volatility, and liquidity pressures demand a structural rethink of operations and client engagement. AI is moving beyond experimentation and embedding directly into corporate workflows, transforming relationship management, decision intelligence in commercial lending, and trade finance. At the same time, APIs are evolving from simple integration tools into essential rails for AI agents and agentic B2B commerce.

As the transformation to digital money advances through tokenized deposits and stablecoins, transaction banks face a fragmented payments landscape marked by multiplying rails and higher execution complexity. To compete, corporate banks must modernize their infrastructure, leverage strategic platforms, and manage rising cyber and technology risks.

Are you ready to move from isolated innovation to intelligent, resilient corporate banking operations at scale?

Insurers enter 2027 under pressure to modernize their data foundations, adopt AI responsibly, and rethink the economics of legacy transformation. Carriers are increasing their use of high-frequency data, AI-enabled integration, and decision automation while continuing to rely on established analytics and models for explainable risk selection, pricing, reserving, and regulatory defensibility.

In this context, AI is also changing how customers research, compare, and purchase insurance, as well as how carriers deliver service, manage claims, and support distribution. As insurers separate systems of record from increasingly agentic orchestration layers, they must balance configurable platforms, incremental modernization, and AI-assisted development with strong controls, data lineage, human oversight, and auditability.

What’s next in the future of insurance? How will the industry look like in 2030?

Insurers enter 2027 under pressure to modernize their data foundations, adopt AI responsibly, and rethink the economics of legacy transformation. Carriers are increasing their use of high-frequency data, AI-enabled integration, and decision automation while continuing to rely on established analytics and models for explainable risk selection, pricing, reserving, and regulatory defensibility.

In this context, AI is also changing how customers research, compare, and purchase insurance, as well as how carriers deliver service, manage claims, and support distribution. As insurers separate systems of record from increasingly agentic orchestration layers, they must balance configurable platforms, incremental modernization, and AI-assisted development with strong controls, data lineage, human oversight, and auditability.

What’s next in the future of insurance? How will the industry look like in 2030?

The retail banking industry enters 2027 facing an expanding gap between customer expectations for real-time personalization and the constraints of legacy infrastructure. AI is moving beyond initial experimentation to become embedded in core retail operations, enabling conversational, agent-assisted customer engagement, composable origination, and decision-intelligence systems that reinvent lending, deposits, and pricing across the customer lifecycle.

In this context, the race to modernize payments intensifies as banks navigate the "battle of rails," rising fraud, and the emergence of agentic commerce. Winning will require institutions to address core platform deficiencies, integrating AI into legacy architectures so they can scale flexible, high-quality customer propositions without adding operational overhead.

Are you ready to move from isolated innovation to intelligent, resilient retail banking operations at scale?

This webinar will look at the opportunities for private equity investment in sport based on sport sponsorship investment.

The expansion of 24-hour trading, compressed settlement cycles, and tokenized rails is forcing capital markets firms to fundamentally overhaul their connectivity, post-trade workflows, and data infrastructure for 2027. This accelerated market structure is exposing the limits of manual processes, pushing venues and market participants to deploy AI-enabled reconciliation, exception remediation, and governed enterprise data layers where lineage, entitlement, and interoperability serve as decisive buying criteria.

In this context, liquidity, collateral, and treasury risk are converging into active trading and investment priorities rather than static compliance functions. As private credit and alternative assets demand public-market operational standards, firms must embed surveillance, explainable AI controls, and regulatory reporting directly into upstream workflow design.

Are you ready to move from isolated innovation to intelligent, resilient capital markets operations at scale?

The wealth management world enters 2027 as technology reshapes how firms deliver advice, manage platforms, and create value. AI is moving the advisor from executor to orchestrator, enabling more scalable and intelligent advice while changing the role of operations teams. At the same time, wealth platforms are evolving into connected operating layers that bring together data, technology, products, and markets.

As firms expand access to alternative products and services, greater choice will increase the value of advice and guidance. This, however, will also raise questions about control, resilience, capacity, cost to serve, and profitability. Wealth managers will need to innovate across their people, infrastructure, products, and operating models while managing the risks of a more complex technology ecosystem.

Are you ready to move from isolated innovation to intelligent, resilient wealth management at scale?

Financial crime, fraud, model risk, and regulatory scrutiny are converging in 2027 to place risk management directly into the architecture of daily operations. As institutions deploy agentic AI and process transactions over faster, interconnected rails, risk teams face a double challenge: on the one hand, neutralizing sophisticated AI-driven threats, such as authorized push payment fraud and generative synthetic identities; on the other, establishing rigorous governance over internal models, data lineage, and automated decisioning.

Static compliance reviews and post-event detection are no longer sufficient. Institutions must transition to real-time, upstream controls that integrate fraud prevention, anti-money laundering (AML), and regulatory reporting directly into workflow design. Navigating this landscape requires risk functions to balance automated efficiency with transparent, explainable, and audit-ready frameworks.

Are you ready to move from reactive compliance to proactive, intelligent risk operations at scale?

May Arthapan (Director, Asia-Pacific) will provide an update on the Asia-Pacific Market and discuss the outlook for the region.

Gain actionable insights from Q3-2026 earnings call transcripts and filings to anticipate what’s next for your business and industry. Discover the trends, sentiments, and themes that are shaping strategies around the world.

In this session, you’ll learn:

• What companies are prioritizing: Key themes emerging from earnings calls and filings

• Where opportunities lie: Countries and sectors showing growth or strategic shifts

• How to stay ahead: Translate last year’s insights into future-ready strategies

The webinar will provide a round-up of the power sector in 2026 and the outlook for 2027. It will cover topics including demand-supply trends, key demand drivers, capacity trends, investments, etc.

China’s clinical trial boom is reshaping global drug development. Its growing innovation pipeline and early-phase speed and cost advantages are drawing international attention, yet much of this innovation has still to reach patients worldwide.

Join GlobalData experts to examine China’s expanding role in clinical research, how US and European sponsors are responding, and the challenges of translating domestic trial success into international approvals.