The Microsoft Copilot is even more expansive than you think. In this podcast (and detailed article on Substack) you see how Microsoft’s new Copilot “surface” (ie. product strategy) is likely to give them the lead in revenue and market share for Enterprise AI.

There are many players to consider here: Anthropic, OpenAI, Oracle, Nvidia, and vendors like ServiceNow, Okta, and the big platforms like Workday (Sana), SAP (Joule), Salesforce, and others.

But despite all their various strengths and revenue streams, Microsoft has a huge advantage. And as you’ll hear, the corporate AI market is moving from “models” to “applications” (Surfaces) with an enterprise focus on Agent build, Agent deployment, Agent security, and Agent management. Microsoft is building to this direction.

Read this in-depth analysis of Microsoft vs. Anthropic vs. OpenAI revenue and enterprise AI strategy.

Additional Information

How Microsoft Could Take The Lead In Enterprise AI (substack)

The Context Layer (Semantic Layer) In Enterprise AI And Where Business Rules Go (podcast)

Why AI Is A Massive Job-Creation Technology, Despite What You Think

The Age of the Superworker (and Supermanager)

Get Galileo: The AI Superagent for HR

One of the new enterprise AI challenges we face is this: where do we put all the business rules, security rules, policies, and company specific practices we’ve built into our legacy systems for the last 30 years? If we want to embark on Agentic HR (or any other domain), do we rebuild all these rules in the Agents?

Well the big idea going forward is the development of a “context layer” or “semantic layer” which stores all the company structure, rules, and policies in a single place. Today ServiceNow introduced its “Context Engine” which plans to do this, and last week Gloat did the same.

In this podcast I explain what this is and the implications of various AI architecture options, and compare the idea of building this in ServiceNow or Gloat or using AI Agent tools from Workday, Oracle, SAP, or other incumbent vendors.

Additional Information

Agentic HR: Where Enterprise AI Is Going – Imperatives

Why AI Is A Massive Job-Creation Technology, Despite What You Think

The Age of the Superworker (and Supermanager)

Get Galileo: The AI Superagent for HR

• (00:00:00) - What is the Business Rule
• (00:07:41) - ServiceNow, Business Rules Integration

In this podcast I talk with Josh Secrest, VP of Marketing at Paradox (Workday) about how we segment the “frontline” into useful worker categories. As you will hear, the complex issues of hiring, training, managing, leading, and building operational excellence vary widely from role to role.

Many companies think “Frontline” is a category. As you’ll discover, this is not really true. Our new research shows that there are more than 800 “Frontline” worker job titles and they are not only industry-specific but also vary by skill type, skills depth, front or back office, licensing, and professional credential. And these dimensions play a major role in all HR, pay, reward, training, scheduling, and retention strategies.

This episode sets the stage for our follow-on podcasts where we detail the Five Types of Frontline Work, a body of research you’ll find even more useful in leading this important part of our companies. Remember, Frontline work makes up over 70% of all US (80% global) workers, and commands more than 3 $Trillion of pay and rewards investment.

Additional Information

Powering the Frontline Workforce: How Frontline-First Companies Thrive (research)

Josh Bersin Company Highlights Cost of Neglecting Frontline Workers (research)

An Exploration into the Frontline Workforce with Josh Bersin (video)

Tailor your HR and Management Programs for Frontline Work with Galileo, the Expert AI Agent for HR

• (00:00:02) - Frontline Conversation
• (00:07:40) - The Importance of Qualifications in Your Sales Pitch
• (00:09:12) - Employment Segmentation
• (00:10:24) - Training costs of the logistics industry
• (00:14:01) - How to Find and Retain Talent in Healthcare
• (00:14:41) - One Restaurant Group's Shift From Part-Time Work to Full Time
• (00:17:13) - Discussing Full-Time vs Part-Time Jobs
• (00:18:14) - Josh Ferson
• (00:19:51) - The Future of Segmentation in Business