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Small & Medium Enterprises

Technology for SMEs

Discover resources specifically designed for small and medium-sized enterprises (SMEs) looking to leverage technology for growth. We understand the unique challenges SMEs face, from limited budgets to resource constraints, and provide practical, scalable solutions.

Our SME-focused content covers accessible technologies, cost-effective digital tools, and strategies that deliver quick wins without requiring massive investments. Learn how other SMEs have successfully adopted AI, cloud computing, and data analytics to compete with larger organisations.

Whether you’re looking to improve operational efficiency, enhance customer experiences, or explore new business models, our resources help SMEs make informed technology decisions. We focus on practical implementations that deliver measurable value and can scale as your business grows.

Rising Stars

Rising Stars

Technation.io Company Nightingale HQ helps SMEs identify cases for artificial intelligence within their business and provides the tools and support required to help them to successfully adopt and deploy AI and specific AI projects.

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Stem Awards Wales 2020

Stem Awards Wales 2020

Stem Awards Wales 2020 Describe your business Nightingale HQ is a complete AI platform that helps businesses get AI-Ready by providing content, training, and ultimately, connections. We offer three products, AI Learn, AI Direct and AI Connect. Through AI learn, companies can get training to get their teams AI ready. Through AI direct, we can help businesses asses their potential and build an AI strategy. Finally AI connect helps connect organisations with the worlds best AI experts, taking the pain out of finding an AI specialist and providing one simple point of contact to manage all projects.

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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.

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The AI Hierarchy of Needs meets the Minimum Viable Product

The AI Hierarchy of Needs meets the Minimum Viable Product

Two of my favourite pyramids are the Data Science Hierarchy of Needs and the Minimum Viable Product. Combining them helps us build effective artificial intelligence (AI) proof of concepts in businesses. It also supports building AI competency at the same time as demonstrating Return on Investment (ROI).

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FBS Small Business Awards 2020

FBS Small Business Awards 2020 Tell us briefly about you and your business Nightingale HQ is a platform for businesses to adopt AI. As the supply of data in all industries increases exponentially, we help businesses get AI-ready so that they can fully harness and utilise the data available to them to solve business problems. Nightingale HQ can help get your business the training and connections they need to start practising data science.

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Most Innovative Woman in Artificial Intelligence - UK

Acquisition International is Proud to Announce the Winners of the 2019 Influential Businesswoman Awards

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What to watch for in the FinTech startup industry

What to watch for in the FinTech startup industry

If anyone has raced ahead with AI adoption, it’s the finance industry. The rise of AI goes hand in hand with the wave of FinTech services and applications that have surfaced in recent years. From automating the approval of loan applications and spotting fraud to personalised services and cryptocurrencies, these applications save time, reduce errors and ultimately save money. This makes them a lucrative investment for banks, who seem to be at the forefront of the AI revolution, showing other industries that making bold changes and engaging with these technologies is worthwhile.

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How can you attract the best AI talent from a limited pool?

How can you attract the best AI talent from a limited pool?

According to research by MMC Ventures - link no longer works, demand for AI talent has doubled in 24 months, faster than the talent pool can keep up. As of 2019 there was one AI professional for every two available jobs, so building a team of AI developers for your organisation requires both focused recruitment and a sound retention strategy.

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Can AI outperform medical professionals in diagnosis?

Can AI outperform medical professionals in diagnosis?

Last year the Guardian - link no longer works reported that AI is 'equal to humans in medical diagnoses' when interpreting images, referring to a study published in Lancet Digital Health. The study revealed that AI 'deep learning' systems were able to detect disease 87% of the time and correctly gave the all-clear in 93% of cases (the equivalent success rate in healthcare professionals is 86% and 93%). This means that AI in healthcare is on track to support medical professionals, leading to faster, cheaper diagnoses and drug development. This will allow healthcare professionals to achieve more with their time and help more people.

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Tackling Tech Shortages

Tackling Tech Shortages

  • News
  • Aug 9, 2019
  • Updated

Tackling tech shortages - Talent Garden launches bootcamps in Data Science with industry faculty.

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