We use cookies and similar technologies („Cookies”) for the purposes of analysis, improving functionality and marketing. Rules for applying these solutions can be found in the Privacy Policy. Some of the technologies are used to ensure the proper functioning of the website, as well as to improve its usability - you can object to such use in your browser settings, which may, however, negatively affect how the website will work. Some of the technologies (provided by Google and HubSpot) forward the data collected about you to third parties, including for the purpose of analyzing your behavior and for marketing purposes - click "I agree" if you agree to the use of these technologies and to processing of data gathered using cookies or “Details” to read more and to express your more granular consent.
On-demand webinar
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.
SIGN-UP FORM
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
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.