Must-Knows When Implementing Artificial Intelligence

May 8, 2023

On-demand Webinars

Accelerate: Digital Velocity Summit | Session #2

Widespread advancement in machine learning (ML), computer vision, deep learning, and natural language processing (NLP) have made it easier than ever to bake an AI algorithm layer into software or cloud platform. For businesses, practical AI applications can manifest in multiple ways depending on organizational needs and the business intelligence (BI) insights derived from the data collected. Enterprises can employ AI for everything from mining social data to driving engagement in customer relationship management (CRM).

In this session, viewers will gain insights on the key components of AI implementation, getting answers to questions like:

How can you assess the potential business and financial value of AI implementations?

How do you determine any organizational capability gaps for an implementation?

How does data fit into an AI implementation and what type of data?

How can an organization implement ethical AI?

Session Highlights

Advice for Leaders Who Want to Support AI in Their Mission

Practical Applications in Manufacturing, Government, Energy, and Healthcare
AI Democratization Requires Guardrails and Transparency
Summary and Closing Advice From the Panelists

Watch the Full Session

00:00

Speakers

Jose Chinchilla

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