Private Credit US Leadership Summit - Hosted by Private Equity Wire & Hedgeweek

Mapping current allocator demand – how to understand and make the most of new LP interest and how to communicate with would-be clients who have yet to allocate to private credit.
Who will benefit from a new wave of interest? The large (and getting larger) players, smaller/new private credit managers or asset gatherers/multi-strats that opportunistically launch into the space – how can existing managers protect their USP and new managers thrive?
What trends are we currently seeing in fund launches? As a sector what lessons can we draw from these? And…where do we go next?

Exploring the current trends and strategies employed by managers and funds to enhance operational efficiency through automation
How are private credit managers tackling the ongoing search for the ideal solution to meet multiple service needs like valuations and loan agreements? Exploring different strategies: 'buy, build, and cobble' or use innovative alternatives?
How can you work with third party partners to successfully build out, scale and automate private credit fund operations?
Exploring reporting and operational expectations with new investors approaching space.
Leveraging technology for success

How are private credit managers currently using automation, AI and analytics?
What are the key benefits to leveraging these solutions and what are the primary problems they solve?
Do managers have any concerns around embedding these developments into their business? How can these worries be allayed?
Can managers prepare themselves for the next stage of development in this space? How can they ensure the processes, tools and techniques they use today remain relevant as automation and AI progresses?

Mapping today’s global investment landscape from a credit perspective – which areas are thriving?
How can managers better handle the FX volatility and associated risks from rising interest in emerging markets?
Can AI and machine learning technologies help reduce such risks? What are some of the current use cases?
Exploring the future potential of AI solutions – for example, could AI help structure funds or act as a manager’s lawyer?
The human element – how will the operational roles change in the AI revolution?

Given the exponential rise in data demands, is there a compelling need, now more than ever, for managers to deploy technology solutions to support due diligence, portfolio monitoring, and overall investment management and decision-making processes?
Does technology help managers process and validate information faster? Can the pace of access to intelligence drive investment decisions? What are the emerging trends here?
Are there existing tools to help managers navigate these emerging trends effectively? If not, what gaps still exist?
Has the macro-fundamental environment necessitated a more disciplined approach to private credit operations, in terms of portfolio monitoring, risk assessment, valuations and even screening of deals?
When it comes to accessing and deploying technology tools, what are the benefits and challenges of the different routes managers have at their disposal i.e. building in-house capabilities, buying off the shelf products or working in partnership with providers?