AI & Automation for Executives

As a leader you need at least a basic understanding of the technology under-pinning AI and automation.

Automation and process improvement are business fundamentals.  How does AI play here and what should we expect from "intelligent automation"?

Integrating AI is key within an Enterprise environment.  What are some of the needs and challenges with AI integration to legacy and broader Enterprise applications.

Let's move beyond a theoretical or academic understanding of AI, and consider how to actually implement into our everyday business operations.

Identifying high-impact AI and Automation Use Cases is critical for success.  Learn a standard framework and approach to separate the nice-to-do vs. the must-have Use Cases.

How to measure, quantify, and track the business impact of deploying AI and automation solutions.

Using AI and automation presents some risk, and the technical feasibility of implementation needs to be considered.  Here is a clear framework for understanding, mitigating, and measuring risk and feasibility.

By the end of this section you will have a clear understanding of the unique needs of stakeholder management related to AI and automation.

RPA = Robotic Process Automation technology remains a powerful approach to easing manual and repetitive work in any business.  Here is an overview of major RPA platforms you should evaluate.

Frameworks help us put structure around our AI deployments. 

Stand-alone AI and automation does not deliver the level of business impact we need.  True Enterprise integration is the key to realizing major benefits.

As the pace of AI technology evolution increases, I will give you a clear overview of the major emerging trends for the future of AI.

Scaling from pilot to production presents unique challenges.  This module will help you understand and work with scaling processes from pilot into full core workflow production.

Data is the lifeblood of AI and automation.  Here we will dive into the role data plays, how to assess and be ready with data, and the challenges of data issues related to AI and Automation.

AI models are not one-time builds.  They need ongoing care and maintenance.  This module covers the main monitoring and re-training techniques you need to understand.

Ideally the solutions we deploy in one task or one area can scale beyond to other places.  This lecture provides a framework for understanding scaling opportunities and driving success more broadly.

We must address the people side of change.  AI and automation present enormous opportunities to drive positive business impact, and here we focus on approaches to achieve success with and through our people.

Like any new technology, new skills, approaches, and mindsets are required for success. This module provides an overview of the elements you need to consider for the upskilling of your workforce.

As a leader you need to set the standard for how AI will be adopted in your business.  This lecture reviews the cultural aspects of AI adoption and how to build a strategy to transition your own culture towards AI-first principles.

Inevitably you will face some level of resistance as you drive AI and automation into your business.  By the end of this lecture you will have a practical framework for identifying resistance and dealing with it effectively.

This lecture covers potential problems you will encounter with AI and how to deal with them

It is critical that you carefully deal with the requirements around data privacy.  This module will cover data privacy in a straightforward and actionable format.

While ethical considerations are a major discussion point, let's boil it down to the key ingredients needed to respect ethical boundaries as you design and deploy AI and autonomous agents.

As a leader you're responsible for the effective governance of AI and automation deployments.  Here are some clear frameworks and process for handling governance efficiently.

We can learn from other teams' prior success and failures.

Failure is a wonderful teacher.  We will review cases of unforeseen challenges and obstacles, and how we can extract powerful lessons to help in our own AI and automation deployments.

AI and Automation needs differ based on use case, and use cases vary across industries.  We will review common use cases in different vertical industry segments.

What lessons can be learned from case studies in successful AI integration?

The role of the Digital Worker is becoming a major discussion point in the Enterprise.  What is a Digital Worker, their benefits, and how to fully embrace the concept of autonomous agentic AI.

As a Leader in the AI space you want to be on top of the future outlook and predictions for the AI market.  I will give you a concise overview of where the experts believe AI is heading in the future.

Wrapping up this course, let's understand the new mandate for AI-native Leaders going forward.  How can you be supremely successful as an Executive embracing this new era of AI and automation?