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    Leadership In The Ai Workplace: A Guide For People Managers

    Posted By: ELK1nG
    Leadership In The Ai Workplace: A Guide For People Managers

    Leadership In The Ai Workplace: A Guide For People Managers
    Published 9/2024
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 3.21 GB | Duration: 8h 16m

    Focus Your AI Goals, Tackle the People Challenges, and Drive AI-Business Mastery. By Bestselling Global Strategy Leaders

    What you'll learn

    Prioritize your team's AI value drivers and risks

    Lay an operational foundation for AI success (in as little as 45 days)

    Close people/workplace gaps that can derail AI adoption

    Build a leadership “flywheel" to drive AI-assisted learning & value creation

    Supercharge engagement with AI X HR tools

    Requirements

    Any leadership experience.

    No technical AI knowledge required.

    Description

    As a people leader, are you feeling blindsided by the challenges of leveraging Artificial Intelligence to enhance your team's performance?You're not alone. While 4 out of 5 companies aim to boost productivity by integrating AI, half admit they're falling short (Upwork Research Institute, 2024). To make things worse, 77% of employees say AI is actually adding to their workload, undercutting leadership's expectations and driving burnout. One in 3 is ready to quit.This is where our first-of-its-kind course comes in. Created by two ex-BCG/ex-CEO leadership experts (one a Silicon Valley AI CMO) with decades of executive experience, it blends frontline AI know-how with the principles of their bestselling Why Is a Verb: How Well-Managed Teams Turn Purpose Into Productivity(with a foreword by Ty Breland, CHRO at Marriott International).Its objective? To empower you to:Focus AI performance goals on the right elements of your team's workflow.Tackle the underlying people issues that hinder AI adoption.Drive sustainable value that’s AI-powered, human-centric, and strategic.Through over four hours of lectures and field-developed tools—including cutting-edge research, powerful case studies, and action-oriented frameworks—you'll get insights and tactics developed in client engagements costing tens (or even hundreds) of thousands of dollars.Upon completion, you’ll be able to:Pinpoint your team’s AI growth drivers and risks.Close the critical workplace gaps that derail AI (and other) initiatives.Build a robust operational foundation for AI adoption and productivity growth, in as little as 45 days.Supercharge your team’s engagement with underleveraged AI × HR tools.Build a leadership "flywheel" that turns AI-assisted learning into lasting value creation.Course benefits include:Proven tools and templates you can tailor to meet your team's needs.A selection of best-in-class research from global AI and business experts.A complimentary copy of Why Is a Verb.Email support, plus—for a limited time—a free 30-minute consultation with a partner at Sagely Advisory (a $500 value).As a leader, time is your most valuable asset—one you can’t create, except by leveraging the experience of others. In face of an unprecedented workplace technology, it’s rarer than ever.Unlock unprecedented team value, leave costly missteps to your competitors, and become the upskilled leader the AI moment demands—by leaning on ours.Note: Each section/lesson is provided as a Master Lecture including all chapters, or as Chapter Lectures for ease of reference. Course resources are provided with each Master Lecture.

    Overview

    Section 1: Overview

    Lecture 1 Course Overview: What, Why & How

    Section 2: The Opportunity: Where AI Will Impact Your Team

    Lecture 2 Master Lecture - The Opportunity: Where AI Will Impact Your Team

    Lecture 3 Objectives

    Lecture 4 Case Study: IT

    Lecture 5 The Drive for Productivity

    Lecture 6 The State of AI

    Lecture 7 Growth Vs Efficiency

    Lecture 8 Target Your Opportunity

    Lecture 9 Next Steps

    Section 3: People Risk: Why Most Teams Aren't Ready for AI (Yet)

    Lecture 10 Master Lecture - People Risk: Why Most Teams Aren't Ready for AI (Yet)

    Lecture 11 Case Study (Employee Survey) & Objectives

    Lecture 12 AI Adoption Challenges

    Lecture 13 Workplace Gaps

    Lecture 14 Engagement and Productivity

    Lecture 15 What Not to Do

    Lecture 16 Next Steps

    Section 4: Planning: The Business Fundamentals

    Lecture 17 Master Lecture - Planning: The Business Fundamentals

    Lecture 18 The Jobs Question and Objectives

    Lecture 19 Case Study (Productivity Shock)

    Lecture 20 Tactical Options

    Lecture 21 The Economics of Productivity

    Lecture 22 The Technology Lever

    Lecture 23 The Compensation Lever

    Lecture 24 Work Practices and Staffing

    Lecture 25 Next Steps

    Section 5: Execution: Laying an Operational Foundation

    Lecture 26 Master Lecture - Execution: Laying an Operational Foundation

    Lecture 27 Case Study (Employee Survey)

    Lecture 28 The AI Leadership Gap & Objectives

    Lecture 29 Systematizing Accountability

    Lecture 30 Developing Leadership

    Lecture 31 Governing Culture

    Lecture 32 The Operational Sprint

    Lecture 33 Next Steps

    Section 6: Optimization: Driving Team Engagement with AI ✕ HR

    Lecture 34 Master Lecture - Optimization: Driving Team Engagement with AI ✕ HR

    Lecture 35 Objectives & Case Study (Survey Industry)

    Lecture 36 HR Use of AI

    Lecture 37 Case Study: Social Media

    Lecture 38 The Impact Measurement Challenge

    Lecture 39 The Future of Sentiment Analysis

    Lecture 40 Copilots and Feedback

    Lecture 41 Case Study Pt 2 and Next Steps

    Section 7: Value Creation: Building a Strategic Learning Flywheel

    Lecture 42 Master Lecture - Value Creation: Building a Strategic Learning Flywheel

    Lecture 43 Objectives

    Lecture 44 Value Creation, Strategy and Learning

    Lecture 45 Learning With AI

    Lecture 46 Building an AI Flywheel

    Lecture 47 Strategic Leadership

    Lecture 48 Conclusion: Mastering AI Leadership

    CEOs and senior leaders looking to drive productivity and growth with AI,Middle and frontline managers tasked with AI adoption,HR professionals seeking to leverage AI tools,Sales and marketing professionals looking to drive growth with AI