OpenAI partners with Faculty to help businesses use Generative AI
Discover how Large Language Models
can reshape the customer experience
for immediate business benefit.
When: Tuesday, 6th Jun 2023
Time: 1pm – 2pm BST
Save your seat
Uncover the Secret of AI in Retail: Join the webinar to explore GPT-4’s impact on customer service.
Since the recent release of GPT-4, Large Language Models have continued to capture the world’s imagination. Yet as with any transformative technology, the hype around these tools can sometimes be difficult to navigate.
In this webinar, we will demystify how Large Language Models work and showcase their potential, specifically highlighting high-impact use cases for customer service in retail businesses.
From helping to build a richer understanding of customer behaviour, to automating customer service activities, to revolutionising product search and discovery – the applications of Large Language Models such as GPT-4 to the customer journey seem endless.
A hype-free definition of Generative AI models, focusing on their key capabilities relevant for retail businesses and how they can reshape your customer experience
A walk through of the customer journey and how LLMs can enhance various stages and high-priority use cases across retail
A framework for how to get started with using LLMs to unlock value in your organisation right away
Addressing common concerns, such as privacy, reputational risk, and the pace of technological change
Marc is the CEO and Co-Founder at Faculty. He co-founded Faculty in the belief that the benefits of AI should extend to everyone, and has since overseen the growth of Faculty to one of Europe’s leading AI companies. He has led many data science projects, with clients ranging from multinational companies like EasyJet and Siemens to the UK government and the NHS.
Before Faculty, Marc was a Marie Curie Fellow in Physics at Harvard University, specialising in quantum sensing. Outside of Faculty, he advises the government via the AI Council. He has a PhD in Quantum Computing and a degree in Physics from Imperial College London.
Andy leads Faculty’s work with energy, utility and natural resources businesses. His particular focus is on helping companies use decision intelligence to develop new ways of operating in a rapidly changing environment.
Andy has spent the past 14 years at the forefront of change and innovation in energy transition through senior roles in consulting, start-up and Government organisations. Prior to Faculty he was a Principal at Oliver Wyman where he led their strategic work with UK energy companies
Kat leads Faculty’s technical teams supporting customers in the retail and consumer space. Kat’s work is focussed on combining advanced AI techniques with real world business problems.
Following an academic background in statistical genetics, Kat has worked in some of the UK’s most well known organisations, including Head of Data Science roles at both Uswitch and the Royal Mail. She is passionate about the power of applying AI across a wide range of industries and problems.
Josh leads Faculty’s work with retailers and consumer-driven businesses such as FMCG, Travel and Media. Josh’s expertise is in using AI to help brands build stronger supply chains and better relationships with their customers. Josh has 14 years of experience in building and leading data science teams and projects.
Prior to joining Faculty, he was the Director of Data Science for Red Bull where he was responsible for the deployment of a wide range of AI and machine-learning initiatives across sales, marketing and media.