AI Digital Transformation

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Planning Guidelines for AI Projects

As businesses increasingly turn to artificial intelligence (AI) to enhance operations and provide value to customers, it’s crucial to approach AI implementation strategically. This blog outlines a structured framework to guide organizations through the process, from defining the scope to using and adapting models. Defining the Scope Before embarking on any AI project, it’s crucial […]

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The Innovation Reset: Moving Beyond Mature Practices

While innovation is at the heart of progress, it’s equally important to recognize practices that are becoming obsolete in the context of driving innovation.  I recently explored Gartner’s Hype Cycle for Innovation Practices, 2024, shedding light on the key insights and emerging trends. As the Hype Cycle chart illustrates, certain practices have moved past the

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Steering AI Led Transformation: Training and Engaging AI Champions

In the introduction article, I mentioned about PMI’s Brightline Transformation Compass that identifies five key building blocks to guide organizations through the complexities of AI-driven change with “Train and Engage AI Champions “ as the  fourth block For any AI transformation to succeed, it’s crucial that the people within the organization are on board, understand

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Steering AI Led Transformation: Transformation Operating System

In the introduction article, I mentioned about PMI’s Brightline Transformation Compass that identifies five key building blocks to guide organizations through the complexities of AI-driven change with “AI Driven Transformation Operating System “ as the  third block I am exploring this block in this article and the role of project and program leadership in the

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Steering AI-Led Transformation: Customer and Market Insights

In the introduction article, I mentioned about PMI’s Brightline Transformation Compass that identifies five key building blocks to guide organizations through the complexities of AI-driven change with “Leverage Customer and Market Insights “ as the  second block In this article, I’ll explore the importance  of leveraging Customer and Market Insights for AI-driven transformation, using a

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NorthStar

Steering AI-Led Transformation: Defining the North Star

In the introduction article, I mentioned about PMI’s Brightline Transformation Compass that identifies five key building blocks to guide organizations through the complexities of AI-driven change with Defining a “North Star” Vision as the first block Defining a “North Star” dictates establishing a clear, a guiding vision that aligns an organization’s goals, strategies, and execution

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Steering AI

Steering AI-Led Transformation: A Guide for Program Leaders: Introduction

AI has rapidly become a focal point for enterprises across industries, with organizations racing to develop cutting-edge models and frameworks that enhance productivity and offer new capabilities. But, as recent research suggests, technology alone is not enough to guarantee a successful transformation. PMI’s recent report, Leading AI-driven Business Transformation: Are You In, introduces a critical

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Martech UseCases

Leveraging AI to Solve Top 10 MarTech Use Cases

Artificial Intelligence (AI) is revolutionizing the marketing technology (Martech) landscape, providing tools that help businesses automate processes, enhance customer engagement, and stay ahead of the competition. In this article, I delve into the top 10 Martech use cases where AI will have a significant impact. Each use case insight is validated by Market research reference

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Gartner -Impact Radar for Gen AI-2024

Impact Radar as published by Gartner for the year 2024 has grouped 25  emerging technologies and trends. Here is a snapshot of the report The radar identifies four key themes: model-related innovations, build and data-related themes, application-related themes, and model performance and AI safety themes. Each theme is positioned in a matrix according to its

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