Nightingale HQ Blog

 

Topics: Quick wins, Digital transformation, AI-Readiness, Business Continuity, covid19, webinars

 

Topics: News, Nightingale HQ

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 ...

Topics: Quick wins, Business Continuity

  The top blockers to effective AI use in businesses aren't technical issues. They're people problems.

Topics: AI strategy, Research, AI journey, AI adoption, Expert perspectives, Digital transformation, AI-Readiness

  In this post, we take you through how to use Microsoft's Cognitive Services to generate voiceovers for your videos. In practice, this technique for ...

Topics: AI use case, Marketing AI, How To, Microsoft

Artificial Intelligence (AI) and Machine Learning (ML) have burst into the spotlight in recent years getting attention from businesses and all levels ...

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 ...

Topics: Understanding AI, AI adoption

There is no shortage of possible applications when it comes to Artificial Intelligence (AI) in the public sector, but while the UK government is ...

Topics: Public Sector, AI in transportation, IoT, Government

If there’s one thing that our CEO Steph Locke is passionate about, it’s data. Getting businesses’ data AI-ready, sharing knowledge around data skills ...

Topics: Events, DataOps

Could education be the industry that has seen the least change over the years? While we’ve seen big changes in the accessibility of education, there ...

Topics: AIEd, EdTech

Two of my favourite pyramids are the Data Science Hierarchy of Needs and the Minimum Viable Product. Combining them helps us build effective ...

Topics: AI strategy, Business intelligence, Data Science, AI journey, AI adoption

Topics: Data Analytics, AI use case, AI adoption

Manufacturers have been facing continual pressure to improve their technology base, reduce costs, and improve quality since the Industrial ...

Topics: Business Operations, AI use case, AI strategy, Manufacturing AI, AI adoption

The world of manufacturing is on the brink of another revolution due to the Internet of Things (IoT) and Artificial Intelligence (AI) applications. ...

Topics: AI use case, Manufacturing AI, IoT

Healthcare has always been a data-rich area, but with new technologies for processing and structuring, and new ways of collecting data, such as using ...

Topics: Healthcare, AI use case, AI Ethics

Topics: Data Analytics, Business intelligence, Data Science, Female founders, Expert perspectives

Marketing is a ripe area for Artificial Intelligence (AI) adoption, with all the data and the insights, but how do you make the jump into the AI pool ...

Topics: AI use case, Marketing AI, Quick wins, Business intelligence, AI adoption

When you choose to introduce Artificial Intelligence (AI) in your organisation or department there can be a lot of resistance and uncertainty, which ...

Topics: AI use case, Quick wins, AI adoption

Artificial Intelligence (AI) is already beginning to transform several industries, and it continues to divide opinions on whether it will transform ...

Topics: AI use case, AI Ethics, Retail AI

If your business has a Facebook page, and you and your staff often find yourselves answering the same questions repeatedly via Messenger, you can ...

Topics: Marketing AI, Chatbots, Quick wins

As the decade turns to 2020, you may be wondering what’s in store for the FinTech industry. Although threats from cybersecurity have seen a sharp ...

Topics: AI use case, FinTech

How much time is spent taking and distributing minutes in your organisation? How often are your staff impacted by miscommunications, forgotten action ...

Topics: AI use case, Quick wins, Accessibility

We want to help more than one million businesses adopt artificial intelligence (AI) in the next five years. To do that we need your help. We're ...

Topics: AI strategy, Startup, Research

Topics: Business Operations, AI use case, Sales AI, Quick wins, AI adoption

Artificial Intelligence (AI) can come across as a make or break move, perhaps a risky step, particularly if you don’t have disposable resources, ...

Topics: AI use case, Quick wins, Accessibility, AI adoption

Yesterday Nightingale HQ had the pleasure of sponsoring the first Wales Data Confex: Artificial Intelligence and Big Data 2019, held in Cardiff, ...

Topics: Events, Data culture, AI-Readiness

How quickly could you answer the question, "How's your business doing?" if it was asked right now? How detailed would your answer be, and how ...

Topics: Business intelligence, Data culture, AI-Readiness

With AI set to expand and evolve over the coming years, with 61% of businesses already implementing some form of AI, you may be beginning to wonder ...

Topics: Understanding AI, AI strategy, AI adoption, Data culture, AI-Readiness

Taking on Artificial Intelligence (AI) in your organisation, particularly for the first time, can be risky business, which is why it is so important ...

Topics: AI use case, Chatbots, Quick wins, AI adoption

It is difficult to deny that humans make biased decisions. Unconsciously we all make choices that are based on prejudices and flawed associations. ...

Topics: AI Ethics, Data culture

The topic of Artificial Intelligence (AI) remains a little hazy and uncomfortable as businesses struggle to get to grips with exactly what it is and ...

Topics: AI strategy, AI adoption

  At the end of 2018, Salesforce reported that adoption of AI by marketers had grown by 44% last year, and that adoption rate is unlikely to slow ...

Topics: Sales AI, Marketing AI

If anyone has raced ahead with AI adoption, it’s the finance industry. The rise of AI goes hand in hand with with the wave of FinTech services and ...

Topics: FinTech

  According to research by MMC Ventures(1), demand for AI talent has doubled in 24 months, faster than the talent pool can keep up. As of 2019 there ...

Topics: AI strategy, AI adoption

  For their 2019 report, Winning with AI(1), MIT Sloan Management Review and Boston Consultancy Group undertook a survey of more than 2500 executives ...

Topics: Data Analytics, AI strategy, AI adoption, Digital transformation

As the powers and capabilities of Artificial Intelligence (AI) expand and evolve, the same cannot be said for the general understanding of the topic. ...

Topics: Understanding AI, AI adoption, Digital transformation

  Last month the Guardian reported that AI is 'equal to humans in medical diagnoses' when interpreting images, referring to a study published in ...

Topics: Healthcare, AI use case

Data analytics has taken off but not everyone is on the same page. While some companies are already making waves with data science, others are still ...

Topics: Data Analytics

Implementing AI at scale in an organisation can yield a wealth of benefits, from improving profit margins to saving workers valuable time. But ...

Topics: Data Analytics, AI journey, Data culture, Digital transformation, AI-Readiness

As an executive with an influence over whether your company implements AI and which projects it embarks on, there’s a lot of pressure on you to be ...

Topics: Project Management, AI strategy, Data culture

All businesses generate data. Even the smallest business has access to hundreds, if not thousands, of interesting data points that they could ...

Topics: Data Analytics, AI adoption, Data culture, AI-Readiness

Enterprise cognitive computing is the application of AI to enhancing business operations, and has a wide range of applications including call ...

Topics: Business Operations, Data Analytics, AI strategy, Data Science, Digital transformation

Many may think of Florence Nightingale as the incredible woman who reformed healthcare in ways that still impacts the industry today, but at ...

Topics: AI journey