Discover our latest thinking on the topics that matter most in business, data, and technology.
Our strategic actions start with intuitive understanding
Diving headfirst into AI without a strategy? That's like setting sail without a compass. A clear AI plan can turn tech buzz into tangible business wins and ensure your business is aligned for growth.
How do you build an AI strategy tailored to your business needs? Use these 10 steps to outline your plan.
By categorizing Intelligent Automation by its parts, like a factory does, it becomes easy to understand how they all work together.
No matter your company's industry, size, or product, Lean and Six Sigma methodologies can help you become more efficient.
Intelligent Automation is the next wave of efficiency technology, combining the powers of AI, machine learning, and RPA to save businesses time and money.
Because we know behavioral coaching influences key KPIs, we can use coaching data to create custom programs to identify effective coaching methods and trends across teams.
Traditional quantitative metrics and coaching techniques are evolving as AI-driven coaching increases both efficiency and personalization of training.
A leading healthcare company challenged us to find a way to increase their close rate. So we built a data science solution tailored to their needs and customer base.
The metaphor of the AI Factory is an easy way to break out the components of AI to ensure you receive tangible value from your investment in this new technology.
In the past, there was a clear distinction between building custom software and implementing something “off the shelf.” Modern software architecture is changing how we decide whether to build or buy.
Looking to add new technologies to bolster your CX initiatives? Make sure you're process mapping before making any investments.
For 60 years, organizations have debated building vs. buying software solutions. What can looking back on the factors that drove those decisions in decades past tell us about this debate today?
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