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TDWI San Diego Update

At TDWI, we have been working hard to navigate this ever-changing landscape in the face of COVID-19, and we want to assure you that the health and well-being of our employees, customers, and vendor partners is our top priority. Therefore, we have unfortunately decided to cancel TDWI San Diego 2020.

We truly appreciate your support during this difficult time. Our registration team will be in contact with individual registrants and sponsors directly. View our virtual learning options at tdwi.org/virtualtraining.

Course Description

Data Strategy & Program Leadership

S5 Building an AI Strategy for SuccessNEW!

August 16, 2020

9:00 am - 5:00 pm

Duration: Full Day Course

Level: Beginner to Intermediate

Prerequisite: None

Asha Saxena

President and CEO

Future Technologies Inc.

Artificial intelligence holds vast promise across industries and sectors, but to fully realize these benefits, leaders must look at AI strategically and holistically. Many organizations have only begun to plan how to incorporate AI into their missions and technology. The decisions they make in the next three years could determine their success or failure well into the next decade as AI technologies continue to evolve.

Building an AI strategy is a key element in leveraging the power of AI in business to help unlock new insights and create more intelligent processes. Embed AI into your core business functions to empower efficient workflows and innovative revenue sources.

In this workshop, we will explore building a robust artificial intelligence strategy with growing use of artificial intelligence in the business landscape.

You Will Learn

  • How AI has been applied in business
  • The AI mindset to lead AI strategy
  • How to use the Business Model Canvas to explore your business
  • About AI-enabled workflows
  • How to use the value chain process as a tool
  • About creating optimal AI use cases

Geared To

  • Data analytics program leaders and managers
  • Business analytics program leaders and managers
  • Data science practitioners
  • Analytics practitioners and team members
  • CAOs, CDOs, and CIOs