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Free Webinar
How to enhance your business with AI and Large Language Models
- real use cases
Tuesday, March 28
18:00 GMT+1 (BST)
Large Language Models (LLMs) can summarize, predict and generate text. That’s why businesses are leveraging this AI tool to automate processes, personalize customer experience and stay ahead of their competition – though the impact of platforms like ChatGPT can extend to other operational and customer-facing areas.
This webinar, led by an AI & machine learning expert, will explore real-world case studies from across industries and demonstrate practical ways to use LLMs to innovate and drive growth. Sign up today to learn best practices for implementing Large Language Models in your business operations.
SIGN-UP FORM
What will you get from our free webinar?
Real-world case studies from different industries
Ideas for applying Large Language Models in specific business areas
Best practices for implementing LLMs
Insights into emerging trends for LLMs
A chance to ask questions about LLMs and get live advice
Webinar agenda
1
What are Large Language Models?
2
LLMs in business – case studies
3
Use cases and business impact of LLMs in different industries
4
Challenges and best practices for implementing LLMs
5
What’s next for LLMs in business?
6
Q&A session
Speakers
Damian Mazurek
Chief Innovation Officer
A certified cloud architect with over 15 years’ experience in the software industry, Damian has spent the last 7 years as a cloud consultant. In his current role he oversees the technology strategy and operations, while working with clients to design and implement scalable and effective cloud solutions. In addition to his experience as a cloud consultant, Damian has data and machine learning expertise, which has enabled him to help numerous organizations leverage these technologies to improve operations and drive business growth.
Tony Butler
Strategic Account Manager
A Senior Manager with over 25 years’ experience in staff and business management, Tony Butler has consulted for technology startups, scaleups and market leaders, such as IBM, Cisco, Palo Alto Networks, Deutsche Bank and HSBC. Wide expertise in high-touch business and technical consultancy, sales, marketing, technical engineering and IT strategy enables him to support companies in a variety of ways. His knowledge of artificial intelligence made him instrumental in revolutionizing a major bank and enhancing its employee experience by using chatbots, sentiment analysis and Natural Language Processing to gain deeper insights into employee wellbeing.