AI & Machine Learning

Leading Human-AI Systems: The Four Conditions for Reinvention

Leading Human-AI Systems: The Four Conditions for Reinvention

As a leader today, your role has shifted from just managing people to becoming a designer of intelligent workflows. We have entered a phase where data, AI agents, and humans are adapting to each other in real-time. Are you ready to lead in the AI era?

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The Ascendient Learning Team
Leading Human-AI Systems: The Four Conditions for Reinvention
AI & Machine Learning

Leading Human-AI Systems: The Four Conditions for Reinvention

As a leader today, your role has shifted from just managing people to becoming a designer of intelligent workflows. We have entered a phase where data, AI agents, and humans are adapting to each other in real-time. Are you ready to lead in the AI era?

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The Ascendient Learning Team

Unlocking Transformative AI: Model Context Protocol (MCP)

Before MCP, connecting an LLM to a business system required fragile custom code, which resulted in significant technical debt. MCP standardizes this connection, shifting the heavy maintenance burden from the company consuming the service to the actual service provider

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The Ascendient Learning Team on October 22nd 2025

The Rise of AI Agent Tools: Comparing Zapier, n8n, and CrewAI

Choosing the right Agentic AI tool for your team depends on your needs, technical skills, and desired outcomes. There are three platforms that stand out in this space. This blog breaks them down for you.

Anne Fernandez on September 8th 2025

Executing Orders: Responsible AI Governance Meets Executive Actions

For those closely following the rapid evolution of Artificial Intelligence, the recent actions by the US government are certainly front and center. On July 23, 2025, the White House unveiled "Winning the Race: America's AI Action Plan." This article discusses AI governance in the United States, comparing it to the EU's approach, analyzes the impact of these new AI policies, and offering strategies for building durable AI governance processes.

Anne Fernandez on July 30th 2025

Predictive AI: Peeking into the Future with Data

Predictive AI utilizes statistical algorithms and machine learning (ML) techniques to identify patterns in historical data. This article explores what Predictive AI is, how it works, and compares it to GenAI.

Anne Fernandez on June 13th 2025

The Stages of the Responsible AI Lifecycle

The Responsible AI Lifecycle embeds ethical considerations into every stage of an AI project, from its initial conception to its ongoing operation and eventual retirement. This article explores these stages with real-world examples.

Anne Fernandez on May 7th 2025

What is Explainable AI (XAI)?

AI Explainability is a key component of a robust overall AI Governance strategy. Discover the five ways you can incorporate XAI into various sectors with examples.

Anne Fernandez on April 23rd 2025

The NIST AI Risk Management Framework

AI governance provides a structure to manage the risks of AI implementation. This article discusses the NIST AI Risk Management Framework (AI RMF).

Anne Fernandez on April 16th 2025

Data Literacy Skills for Professionals

Data literacy is the ability to explore, understand, and communicate data in a meaningful way. This article will guide you through just a few of the aspects of data literacy.

Anne Fernandez on April 9th 2025

Understanding Agentic AI: Impact on Business and the Future of Work

Explore Agentic AI, the next evolution of AI that goes beyond content creation. Learn how it differs from Generative AI, its key characteristics, development process, real-world applications, and the future of this transformative technology.

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The Ascendient Learning Team on December 16th 2024

What is Ethical AI?

Ethical AI ensures that AI systems treat everyone fairly, are responsible for their actions, and operate in a transparent way.

on December 1st 2024

5 Reasons Why You Should Learn Machine Learning

Learning the basics of machine learning is the first step to unlocking its capabilities.

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Susan Asher on July 20th 2023

Machine Learning Service Comparisons Among the Main Cloud Vendors

All Big Three cloud vendors — AWS, MS Azure, and Google Cloud — offer a range of machine learning services. Learn how these machine learning services define infrastructure support.

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Myles Brown on March 16th 2022

The Top 9 Machine Learning Key Terms You Need to Know

The first step to diving into the world of machine learning is to familiarize yourself with related terminology. Read on for the top machine learning key terms.

Matthew George
Matthew George on August 4th 2021

How AI Can Be Used To Optimize Healthcare Resources

AI in healthcare will transform the workforce, education, and employable skills. Learn more about the near-future of our healthcare system.

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Alexandra Kenney on October 20th 2020

The 12 Most Difficult IT Jobs for Employers to Fill

With so many pathways to get into these 12 IT jobs employers are struggling to fill, it can be hard to know where to start. In many cases, there is a fair bit of overlap with other IT areas, so businesses would benefit from implementing in-house upskilling, reskilling and IT training programs for the staff they currently have. It all starts with the right training.

Matthew George
Matthew George on March 23rd 2020

How to Spark a Digital Transformation

If your company’s internal processes are not as streamlined and impactful as they used to be, then you should consider a digital transformation. Learn how.

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Alexandra Kenney on February 21st 2020