News and Updates

AI vs. Machine Learning: What Businesses Need to Know to Make Smarter Technology Decisions
November 2026
AI and machine learning are closely connected, but understanding the difference can help organizations make better technology and training decisions. Learn how these technologies work together, where businesses are applying them, and why developing the right AI and data skills across different roles is essential for successful adoption.

Plan Ahead, Build Skills: A Smarter Approach to Workforce Training
November 2026
Training is easier to manage when it's part of the plan rather than an afterthought. This blog explores how trainer vouchers can help organizations plan training budgets, maintain flexibility as priorities change, and create a more consistent approach to employee development throughout the year.

From AI Ambition to Business Results: Turning Azure Investments into Practical Solutions
November 2026
Investing in Azure and AI is only the first step—organizations also need employees who know how to apply these technologies to real business challenges. Explore how hands-on, customized training can help teams identify practical use cases, bridge technical and business skill gaps, address security considerations, and turn technology investments into meaningful results.

AI and Cybersecurity: New Tools, New Security Questions
October 2026
As employees incorporate AI into everyday workflows, organizations must consider how they share sensitive information, which tools they approve, and how they review AI-generated content. This blog explores three simple questions employees should ask before using AI to help reduce risk while making productive use of new technology. Learn why AI awareness is becoming an important part of an organization's broader cybersecurity strategy.

AI Learning Pathways: Helping Every Role Build the Skills to Succeed
October 2026
AI training isn't one-size-fits-all. From business professionals learning to use AI tools more effectively to IT teams securing Copilot rollouts, developers building AI solutions, and leaders guiding adoption, each role has different training needs. Discover how a structured, role-based AI learning pathway can help your organization build practical skills and support responsible AI adoption.

Cybersecurity Is Everyone’s Responsibility: 5 Things Every Employee Can Do
October 2026
Cybersecurity starts with everyday habits, and every employee has a role in protecting an organization’s information. Explore five practical ways employees can reduce security risks, from using strong passwords and enabling multi-factor authentication to recognizing phishing attempts and backing up important data. Learn why building cybersecurity awareness across the entire workforce is essential to protecting your organization.

Why Python Helps Clean Up Your Data
September 2026
September is a time to celebrate the programmers who help keep our digital world running and the tools they use to solve complex problems. This blog explores how Python can help organizations clean, organize, and analyze data more efficiently, turning messy information into something teams can actually use.

From Business Problem to AI Solution: What an AI Practitioner Actually Does
September 2026
AI delivers the most value when it solves a real business problem. This blog explores how an AI practitioner moves from identifying a business challenge to using data, machine learning, and predictive insights to support better business decisions.

Cooperation Isn’t Always Coordination: Helping Teams Work Better Together
September 2026
Strong teams aren’t just willing to help; they know how to communicate, share information, ask for help, and coordinate toward a shared goal. This blog explores how customized team development can uncover collaboration challenges and help teams practice more effective ways of working together.

Technology Strategy to Execution: Putting Responsible AI into Practice
August 2026
The right technology can improve a workflow, but only when employees have the skills to use it effectively and responsibly. This blog explores how organizations can connect AI, automation, data governance, and workforce training—and how shorter, targeted training sessions can help teams build the skills they need without slowing down active projects.