Strategy, Not Data, Defines the Winners
When there is no shortage of data, how do you get from massive data to mission success?
Posts Tagged: analytics
You Can Hack That: Host a Hackathon to Ideate, Innovate and Motivate
When you’re looking for new ways to solve tough problems, a hackathon might be your answer.
Predictive Analytics and Insights Discovery Were Made For Each Other
What would be possible if your organization could predict future occurrences? A new generation of advanced analytics—high-level diagnostic, predictive, and prescriptive—can now provide that opportunity.
Redefining the Analysis Tradecraft with AI-Powered Analyst 2.0
The role of a data analyst is evolving in the era of emerging artificial intelligence (AI). So much so, we might need to relabel this role as Analyst 2.0. Here’s a look at what Analyst 2.0 means for the next-gen data guru helping organizations use data for better decision-making.
Why It’s So Important to Consider Ethics, Risk and Compliance Before You Adopt AI
Successful AI adoption requires forethought and preparation. Although AI itself requires a culture open to experimentation and learning from mistakes, when it comes to ethics, risk, and compliance, you can’t simply wing it.
Trained Up: Workforce Skilling for AI Readiness
Developing AI talent: a checklist and resources you can use now.
Ready. Set. Go! Data Readiness for Artificial Intelligence (AI)
Combining the computational power of artificial intelligence (AI) with the critical thinking ability of humans is the ideal solution for organizations looking to accelerate the discovery of actionable insights from their data assets.
Applying Science to Business: How to Maximize Effectiveness From Within
Learn more about Operations Research, the discipline of applying advanced analytical methods to inform better decisions, primarily to optimize organizational operations through a scientific methodology.
The Key to Scalable AI Decision-Making? Even Better Training Data
If you learn nothing else from this blog, remember this: The most important step in adding AI to any process is correctly labeling the training data.
Why Culture Is so Important to AI Adoption
It’s easy to get caught up in the hype and to forget all the groundwork and tactical steps it takes to effectively establish and use AI in an organization.
