Case Study
Tuesday, March 11
09:45 AM - 10:10 AM
Live in Munich
Less Details
LLMs are taking the world by storm. In this fast-paced era, how to corporate business harness its power.
Retrieval augmented generation utilized alongside large language models are revolutionizing the way businesses approach natural language processing tasks. By combining the power of generative language models with the ability to retrieve relevant information from a vast array of sources, RAG with LLMs significantly enhances the quality and accuracy of text generation. In a business context, this transformative technology enables more sophisticated and contextually nuanced interactions with customers through chatbots, virtual assistants, and automated content generation. By leveraging RAG with LLMs, companies can streamline customer support processes and improve personalized marketing strategies. The impact of this advanced approach in business is profound, as it empowers organizations to deliver more tailored and relevant content, improve decision-making based on comprehensive data analysis, and gain a competitive edge in the ever-evolving landscape of AI-driven business solutions.
Join this session to get a deep insight into:
Sushmita Pandit, originally from India, now resides in Berlin with her family. With more than a decade of dedicated involvement in the realm of data analytics, she has amassed a wealth of experience that has nurtured her proficiency in leveraging data to drive insightful business decisions. Over the years, Sushmita has had the privilege of collaborating with various multinational giants across diverse sectors, ranging from OEM and retail to banking and energy, enriching her understanding of industry-specific data intricacies.
Recognized for her expertise in cloud technologies, Sushmita has propelled her career as a cloud specialist, adept at harnessing cutting-edge solutions to optimize data processes and enhance organizational efficiency. Holding prestigious certifications such as Microsoft Certified Professional and Databricks Certified Data Engineer, she has solidified her reputation as a skilled professional capable of architecting and implementing robust data & AI solutions that align with industry best practices and innovation.