News and Updates

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.

From AI Skepticism to Responsible Adoption: Helping Teams Improve Business Workflows
August 2026
Explore why employee skepticism is a natural part of AI adoption and why successful implementation requires more than simply introducing new tools. Drawing on a recent AI-3025 training and project engagement, this examines how organizations can address concerns around accuracy, security, and changing roles while helping employees understand where AI can genuinely support their work.

Automation Without AI: Sometimes the Smartest Solution Is the Simplest One
August 2026
Automation doesn't always require AI. This blog explores how organizations can use traditional, rule-based automation to streamline repetitive work, reduce errors, and improve efficiency—while understanding when AI adds value and when a simpler solution is the better choice.

Short Courses That Solve Business Challenges
When your team needs to learn a specific skill to complete a project or solve a business challenge, a full-day class isn't always the best solution. TCW's Short Courses deliver focused, practical training in just two hours, helping organizations quickly build the skills their teams need while minimizing time away from work.

Data Governance: The Foundation of Responsible AI
July 2026
Successful AI initiatives start with trustworthy, well-managed data. This blog explains why data governance is essential for organizations adopting AI and how educating employees on responsible data practices can improve decision-making, strengthen compliance, and support long-term business success.

Why Every Organization Needs an AI Policy, Before It's Too Late
July 2026
AI is making its way into the workplace faster than many organizations can keep up, often without formal guidelines in place. Discover why establishing clear AI policies and governance now can help your organization foster innovation while safeguarding sensitive data and mitigating risk.

AI Is Only as Good as the Data You Give It
July 2026
Generative AI can accelerate productivity, but the quality of its output depends on the quality of the data and prompts employees provide. This blog explores why organizations need to teach responsible AI usage, protect sensitive information, and build good data habits as AI becomes part of everyday work.

Scaling AI Adoption Across the Organization: Moving Beyond Experimentation
June 2026
Many organizations have begun exploring AI, but few have successfully scaled its use across teams and departments. This blog explores the common challenges organizations face with AI adoption and how foundational training, practical use cases, and flexible learning options can help turn experimentation into measurable business value.

Why Data Skills Are Becoming Essential Across Every Department
June 2026
Data is no longer just for analysts—it's becoming a critical skill for employees across the organization. Discover why data literacy is essential for modern business operations and how foundational skills in Excel, Power BI, and Data Analytics can help teams make more informed decisions every day.

Technology Adoption Is a Journey, Not a Launch Event
June 2026
Many organizations invest heavily in new technologies but struggle to achieve consistent adoption long after implementation. Learn why successful technology initiatives require ongoing enablement and how continuous training helps teams unlock the full value of tools like Microsoft 365, Power BI, Salesforce, and Microsoft Copilot.