Data culture
Curating a healthy data culture is ever more important now to prevent the gap from growing between those who are embracing analytics and those who are lagging behind.
What is data science strategy?
Data science strategy is as much about planning and executing your businesses, data and AI initiatives as it is about building internal skills and …
Learn moreWhat is AI strategy?
An artificial intelligence strategy provides a roadmap for executing your business's AI priorities. Learn the best way to implement one at Nightingale …
Learn moreWhat is developing a centre of excellence?
Developing a centre of excellence promotes collaboration in your business and defines best practice for a specific focus area. Learn more about how to …
Learn moreWhat does it mean to be AI-Ready?
Many companies taking the plunge with AI initiatives are not succeeding because they were not AI-Ready when they thought they were. Are you AI-Ready?
Learn moreData Confex 2019
If you missed out on Data Confex 2019, discover our run down of what went on. Explore more articles at Nightingale HQ.
Learn moreWhy do you need business intelligence?
Business intelligence is a vital tool when running a business that can help all departments run smoother. Here's why you need it.
Learn moreThe real dangers of AI: Getting left behind
It's important to understand the real threats and opportunities of AI - learn about how ignoring it poses the biggest threat.
Learn moreRemoving AI bias for better decision making
AI has the power to remove bias, so why do we keep seeing bias reflected in AI models? Here are some tips to help banish AI bias.
Learn moreHow can companies lay the foundations to scale up AI?
All it takes to build AI-foundations is a bit of planning, some cultural shift and some broad upskilling. Learn more about how your company can adapt …
Learn moreProject management: Are you backing the right AI projects?
Use this tip to make sure you're backing the right projects. Learn more at Nightingale HQ's blog.
Learn more