How to enhance your business with AI and Large Language Models
- real use cases
Video available 24/7
Online registration required
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, explores real-world case studies from across industries and demonstrates practical ways to use LLMs to innovate and drive growth. Register and get access to the full video to learn best practices for implementing Large Language Models in your business operations.
What will you get from this 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
Knowledge from experienced specialists
What are Large Language Models?
LLMs in business – case studies
Use cases and business impact of LLMs in different industries
Challenges and best practices for implementing LLMs
What’s next for LLMs in business?
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.
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.