Transformative AI Strategies: Leveraging GenAI for Secure and Scalable Business Solutions
Webinar Speaker: Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics
Date: Tuesday, October 10, 2023
Time: 9:00 a.m. PT / 12:00 p.m. ET
In the ever-evolving landscape of AI and machine learning, organizations are continuously seeking ways to unlock the true potential of data-driven insights. Recently, generative AI, a subset of artificial intelligence that includes systems designed to generate outputs such as images, music, text, or other forms of media based on its training data, has taken the world by storm due to its wide-ranging potential applications.
These applications can include the use of foundation models together with a company’s own data to provide support in customer service, operations, and much more. Vendors are also including generative AI in their products. As companies advance with tools such as generative AI, they will need to support the extraction, loading, and transformation of raw data for model training.
Join TDWI’s Fern Halper, Ph.D., together with experts from Fivetran, Google Cloud, and Accenture as they explore how generative AI can be used to:
- Improve data integration by seamlessly extracting, loading, and transforming raw data
- Drive predictive analytics by developing and deploying predictive models that can be used to make better business decisions
- Transform AI strategies by creating a more agile and adaptive approach to AI deployment
Whether you are a data professional, an AI enthusiast, or a business leader, this webinar will provide you with valuable insights into the future of AI.
Guest Speakers
Kelly Kohlleffel
Senior Global Director, Partner Sales Engineering
Fivetran
Kelly currently leads the Fivetran Partner Sales Engineering organization where he collaborates with a broad ecosystem of technology partners and consulting services partners on modern data stack solutions and approaches.
He previously led the GTM team (sales, technical sales, marketing, and alliances) at Hashmap (acquired by NTT DATA) and also hosted Hashmap on Tap, a weekly podcast focused on data company founders and industry leaders. Kelly enjoys all aspects of the data industry, and prior to Hashmap, he helped grow Hortonworks (one of the pure-play big data/Hadoop providers) across the energy industry and worked closely with enterprise clients on data and technology solutions at Oracle.
Jimmy Priestas
Global Managing Director, Data & AI - Cloud Ecosystem Lead
Accenture
Jimmy is a global managing director at Accenture and currently leads their cloud ecosystem partnerships for data and AI within Accenture’s Cloud First domain. In this role, he is responsible for working with clients to develop and implement data and AI strategies and solutions for their organizations. He has spent the last 10+ years at Accenture working with Fortune 500 and large multinational clients across 20+ industries.
As an experienced data and AI professional, he has led large practices and brings deep expertise in transforming all forms of data into actionable strategies and plans to maximize market opportunities for clients. Based in Washington, D.C., he is passionate about cooking and experimenting with new cuisines, traveling and experiencing new cultures across the world, and being an advocate for change at both an individual and global level.
Dr. Ali Arsanjani
Director, Cloud Partner Engineering and Head of AI/ML Center of Excellence
Google Cloud
Dr. Ali Arsanjani is the director of cloud partner engineering at Google Cloud and head of the AI center of excellence where he leads the development of strategic co-innovation partnerships in the fields of generative AI, data/analytics, and predictive AI/ML. His team specializes in co-innovation with ISV and GSI partners as they run, integrate, and build on GCP across the ML life cycle. Ali also works closely with product management to shape the direction of Google's AI and analytics offerings from a cloud perspective.
In addition to his role at Google Cloud, Ali is an adjunct professor at San Jose State University and the University of California, San Diego, where he teaches and advises students in the master’s in data science program and the Data Science Institute, respectively.
Previously, Ali was the head of machine learning and worldwide tech leader for AWS AI/ML specialist solution architects. As chief principal for AI/ML, he developed tech strategy for leaders in the tech sector for SaaS, ISVs, and the internet (AWS's largest customers). He led research, product, and eng teams responsible for prototyping cutting-edge AI devices.
Prior to that Ali was an IBM distinguished engineer and CTO for analytics and machine learning at IBM for over 22 years.
Fern Halper, Ph.D.