Webinars

Our quarterly webinar giving a 30 minute rundown of the current UK retail market, focusing on a look back at Christmas 2026 and who were the winners and losers, while also discussing our retail sector forecasts for 2027 and beyond.

In 2026, agentic AI took off with businesses across every industry deploying reasoning models at scale. Although efficiency gains have been documented across many use cases, the limitations also became apparent as unpredictable token costs caught businesses off-guard and AI-generated errors continued to plague dependability.

As we move into 2027, the AI train is not slowing down. The new year will bring a wave of more autonomous agents along with rapid advances in physical AI as these systems move from digital workflows into the real world.

This webinar will explore where AI is heading, the challenges companies face in deployment today, and practical ways to manage risks and plan for success.

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.

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

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?

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?

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?

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?

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

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 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?