AI strategy
Low ROI from AI is a people problem, not a tech problem
The top blockers to effective AI use in businesses aren't technical issues. They're people problems. Learn more at Nightingale HQ.
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 moreThe AI Hierarchy of Needs meets the Minimum Viable Product
The Data Science Hierarchy of Needs and the Minimum Viable Product can be combined to build effective artificial intelligence (AI) proof of concepts.
Learn moreMastering AI in manufacturing: the three levels of competency
Part of Industry 4.0, AI is an emerging technology that promises gains for manufactures. Learn more about the steps to master AI.
Learn moreAnnouncing our Research Panel
Nightingale HQ is launching a research panel to engage with people around the world regarding AI in industry. Click through to find out more.
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 moreHow can you attract the best AI talent from a limited pool?
With a limited talent pool, the best way to attract AI talent may vary depending on the stage of your company. Read more in our blog post.
Learn moreLet your business strategy drive AI adoption
Read more about the business strategies which drive successful AI adoption in companies across several fields. Get ahead with Nightingale HQ.
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 moreHow to get AI to work for your business and enhance operations
Learn more about successfully employing Enterprise Cognitive Computing (ECC) within your business and get AI to work for you.
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