Organised by Modev and presented by KPMG, AI House brings together enterprise executives, founders, investors and technology leaders ahead of the main Ai4 conference. Rather than focusing on product launches, the sessions concentrated on how AI is being introduced and managed inside organisations.
Trust is becoming a broader conversation
Rahsaan Shears, Head of aIQ at KPMG, spoke about how trust in artificial intelligence is expanding beyond cybersecurity. Governance and the wider responsibilities that come with deploying AI across an organisation are becoming part of the same conversation. She also described AI as something that is continuously changing the way people work.
The pace of AI development
Eric Pace, Chief AI Officer at Cox Communications, emphasised the importance of understanding the models organisations choose to use. Reflecting on the speed of change in the sector, he remarked that he would be surprised if a model reached its first birthday.
Pace also introduced the idea of headless SaaS as a business model to watch. Rather than focusing solely on software interfaces, the discussion explored how AI could influence the way software businesses create and deliver value in the future.
The future of SaaS
Mark Shank of KPMG questioned how SaaS companies will continue to justify their pricing if they do not deliver meaningful outcomes through AI agents. His remarks focused on the challenge software providers may face as customers increasingly expect AI to complete work rather than simply provide access to tools.
New opportunities for emerging talent
The mid-market also featured in the discussions. Pace referred to the opportunity for apprentices and students to contribute to projects for mid-sized organisations, allowing emerging talent to gain practical experience while helping businesses that may not have access to large AI teams.
Healthcare and representative data
Susan Sly, founder and chief executive of ThePause, spoke about personalised healthcare and the importance of representative data. She noted that many healthcare datasets continue to be heavily based on white male populations, creating challenges for AI systems intended to support broader patient groups.
According to Sly, improving the diversity of healthcare data will be essential if AI is to support more personalised and inclusive healthcare. She also referred to a company preparing to apply in the medical malpractice sector, illustrating how AI continues to expand into new areas of healthcare.
Setting the tone for Ai4
The opening discussions at AI House did not revolve around a single announcement or breakthrough technology. Instead, they highlighted the practical questions organisations are beginning to address as AI becomes part of everyday operations.
Governance, business models, workforce development and data quality all emerged as recurring themes, providing an early indication of the conversations likely to continue as Ai4 officially gets underway.
More information
Source and more information: AI House at Ai4 Official Event Page