Steph Locke
Steph Locke, CEO of Nightingale HQ, is an accomplished data scientist who has helped thousands of businesses during her time working in industry, as a consultant, and as an international keynoter and author.
Specifically for manufacturers, in our #AIFightsBack series we have discussed AI in Manufacturing and how data consolidated via historian appliances ...
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Topics:
Manufacturing AI,
covid19,
webinars,
machine learning
AI for manufacturing has huge potential. As well as clear AI use cases like robotics and automation, the wealth of data being consolidated into ...
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Topics:
Manufacturing AI,
AI-Readiness
Yesterday, we ran our first AI in Manufacturing webinar, in association with the Irish Centre of Business Excellence. You can grab the slides, read ...
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Topics:
Business Operations,
AI use case,
Manufacturing AI,
AI-Readiness,
covid19,
webinars
Last week we kicked off our #AIFightsBack series to help businesses understand how AI can be used to support a safe and productive business during ...
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Topics:
Business Operations,
AI use case,
Chatbots,
Quick wins,
covid19,
webinars
We've written previously about how there are opportunities to integrate AI into people's work day to make things more accessible, uncover trends, and ...
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Topics:
Quick wins,
Business Continuity
The top blockers to effective AI use in businesses aren't technical issues. They're people problems.
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Topics:
AI strategy,
Research,
AI journey,
AI adoption,
Expert perspectives,
Digital transformation,
AI-Readiness
Artificial Intelligence (AI) and Machine Learning (ML) have burst into the spotlight in recent years getting attention from businesses and all levels ...
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Topics:
AI strategy,
Data Science,
AI adoption,
Data culture,
AI-Readiness
This is not the first time AI has been all the rage in the business world. In particular, AI was big in the eighties with solutions called expert ...
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Topics:
Understanding AI,
AI adoption
Two of my favourite pyramids are the Data Science Hierarchy of Needs and the Minimum Viable Product. Combining them helps us build effective ...
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Topics:
AI strategy,
Business intelligence,
Data Science,
AI journey,
AI adoption
