Scale Transformational AI Through Data Estate Modernization
Webinar Speaker: David Loshin, President of Knowledge Integrity
Date: Friday, December 8, 2023
Time: 9:00 a.m. PT / 12:00 p.m. ET
Artificial intelligence (AI) solutions, particularly generative AI systems such as OpenAI’s GPT models or Google’s Bard, have taken the collective imagination by storm. Business leaders see AI as a transformational technology, and they are rapidly considering the many ways to use AI, deep learning, and automation to reimagine their enterprise business applications, redefine the customer experience, and simplify the integration of analytics insights into a streamlined application framework.
As organizations consider implementing AI-based solutions, though, they must first reflect upon their existing data landscape and consider whether their current data architecture is suited to meet the demands of an AI-powered environment. For example, generative AI systems require massive data volumes for training and refinement. AI and machine learning-based applications require a repository for features and models, which must continuously be reevaluated, tested, and reviewed for bias. Data fabrics and pipelines must be tuned to handle high volumes of streaming content.
In this webinar, we consider the information requirements for deploying AI, and then review data modernization initiatives that can help your organization achieve the business transformations that AI promises.
Attendees will learn about:
- Why enterprises are struggling to gain benefits for data and AI implementations
- Modern data platforms supporting the necessary massive data volumes
- Migrating and modernizing a legacy data estate to the cloud
- Introducing generative AI into the enterprise
- Model management and governance
- Automated model testing and validation
Global Director, Data & Analytics Practice
Navneet Sharma leads data and business insights, product management, and the CoE within the digital and analytics practice at HCLTech. As a chief architect and global director, he leverages disruptive technologies to alter business models and create new value and revenue streams for the most recognizable brands in the world.
Date: December 8, 2023
Time: 9:00 am PT