Since the release of ChatGPT and the recent GPT-4
announcement, 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 provide an executive-level explanation
of how large language models work and a perspective on
high-impact use cases for private sector organisations.
We will also provide some straightforward advice on how
to get started using Generative AI in your business today,
as well as the pitfalls and risks to bear in mind.
Our partnership with OpenAI helps you
unlock the potential of Generative AI safely
and responsibly in the real world.
Large Language Models like ChatGPT will transform
the way that businesses understand and engage with
customers. But when it comes to getting started, the real
opportunities are hard to separate from the hype.
In this on-demand session we’ll discuss:
- An introduction to Faculty + OpenAI
- An overview of Generative AI and LLMs including GPT-4
- Putting LLMs to work in your organisation
- How to get started with Generative AI
Dr Marc Warner
Marc founded Faculty to help organisations make better decisions using human-led AI. For over 10 years he has worked with government agencies and leading brands to implement impactful AI solutions. Before Faculty, Marc was a Marie Curie Fellow in Physics at Harvard University, specialising in quantum sensing. His work has been published in prominent academic journals and he is regularly featured as an expert in top-tier media.
Director, Energy Transition and Environment at Faculty
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
Director, Retail and Consumer at Faculty
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.
Technical Director, Retail and Consumer at Faculty
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.