AI applications are transitioning from broader capabilities to specialised, contextual applications. The future is one where AI tools excel in specific areas, enhancing user experience through targeted functionality and characterised by the abstraction of LLMs behind intuitive, task-specific user interfaces.
What this means is that, increasingly, we will see the heavy lifting of interacting with AI — specifically, the complex task of prompting — move behind the user interface. This shift will allow users to focus on their work, rather than on how to communicate with the AI.
As this transition occurs, the key to unlocking GenAI’s full potential will lie in understanding, designing and developing these interfaces. From multimodal interactions to domain-specific applications, the future of work will be defined by our ability to leverage existing models and design AI interfaces that seamlessly integrate with our professional needs and workflows.
When done correctly and with the user in mind, this democratisation of data and knowledge is offering unprecedented opportunities for efficiency and innovation.
Join us on Wednesday 25 September for our dinner on Generative AI: The Future User Interface for Workplace Efficiency and Innovation to explore strategies that will help you:
- Understand how different industries are implementing GenAI solutions
- Learn from case studies of companies successfully using GenAI to tap into existing knowledge bases
- Create AI-assisted workflows that boost employee productivity and enhance user experience
- Develop contextual, industry-specific AI applications that seamlessly integrate with existing processes
- Leverage Retrieval-Augmented Generation (RAG) to enhance the accuracy and relevance of AI-generated content
- Utilise multimodal AI interfaces for more comprehensive and natural user interaction
AGENDA
18:00 Registration and drinks reception
18:40 Move to seats
18:50 Welcome from Emma Taylor, Founder & Managing Director at Chief Disruptor
18:55 Scene setter and overview
- How well-designed GenAI tools are reshaping work processes
- Key principles for successful GenAI implementation and use cases
- Creating AI applications that enhance user experience in specific industries
- The role of user interfaces in abstracting AI complexity and democratising knowledge access
- Evolution of GenAI interfaces beyond chat to intuitive, task-specific designs
19:10 Discussion questions
- How is your organisation currently leveraging or planning to implement GenAI?
- What potential do you see for GenAI in improving employee productivity in your industry?
- How is your organisation approaching the design of AI interfaces for specific tasks or workflows?
- What challenges have you faced in creating intuitive AI tools that seamlessly integrate with existing processes?
- How are you approaching the design of conversational AI interfaces for your employees or customers?
- What opportunities do you see for multimodal AI in your sector?
- What strategies are you using to abstract the complexity of AI (like prompting or RAG) behind user-friendly interfaces?
20:45 Key takeaways and next steps
21:00 Closing remarks and further networking
21:30 Close
HEAR FROM
Leon Gauhman, Founder & Chief Product and Strategy Officer, ElsewhenLeon Gauhman is the Co-Founder and Chief Product & Strategy officer at digital product consultancy Elsewhen. The company recently made its debut in FT 1000 list of fastest growing companies. Elsewhen’s mission is to empower leaders to harness a cutting edge approach to design and technology to deliver positive impact for their organisations. Leon writes for publications including Sifted, Venturebeat and City AM. He loves using his experience in engineering and product to invest in promising early stage founders. Leon is also a member of the Bank of England’s Decision Maker Panel.
RESOURCES
Enterprise organisations have been using traditional Machine Learning (ML), a subset of Artificial Intelligence, for many years. ML-driven applications have driven more intelligent automations, data-driven decision-making and business productivity, a big driving force of digital transformation. However, many enterprise use cases have been out of reach: traditional ML practices cannot replicate the complexity and expertise involved in many enterprise workflows and processes.
This guide is based on Elsewhen’s in-depth experience in helping organisations to become more user-centric. Combining market insights with real-world examples and industry research, these insights are relevant for people working on the ground in digital teams, right through to senior leadership. By reading this guide, we hope you will strengthen your ability to champion user-centricity in your organisation.
