AI Is the Future.
Data Governance Is Now.
Organizations everywhere want to benefit from the power of artificial intelligence and machine learning. Data organization is essential to success.
Government AI: Starting Small with Small Language Models (SLMs)
Many government agencies are in the early stages of exploring generative AI and large language models.
As organizations navigate this phase, our experience suggests a valuable insight: small language models can offer a practical and cost-effective starting point for government organizations venturing into AI.
Navigating Hazards of Out-of-the-Box Solutions
In today’s fast-paced, data-driven world, businesses need solutions that can keep up with evolving demands.
For many, out-of-the-box solutions (OOBS) offer a tempting promise of quick implementation and ease of use. But are they always the best choice?
Balancing AI Power with Human Insight: A Humorous Dive into Text Analytics
Moving Beyond ROI: Return on Adoption
With generative AI showing early promise of substantial productivity gains, organizations should start to think not just of traditional metrics like ROI but ROA, Return on Adoption, as a critical measure of success in the future.
Reflections on Generative AI
Is My Data Lake Actually a Data Swamp?
How Do You Begin a Data Science Project?
How Often Does the Best Team Win the Title?
Decision Process Improvement (DPI): Better, Faster Decisions
Data-Driven Change: Essential Mindsets
Arranging a Suite of Analytics for Hotel Data
Previewing the MYOB Podcast
Defying Gravity
How a Datathon Saved Christmas
Machine Learning’s Missing Link: Business Leadership
How Do You Measure Success?
Building a Successful Analytics Project from the Ground Up
Like a house built to withstand the seasons, a successful and sustainable analytics project must start with a firm foundation, a purposeful plan, a seasoned team, and the right tools and materials.
A Holistic Framework for Managing Data Analytics Projects
Roadmap to Becoming a Data-Driven Organization