Mia Hatton

Mia is an experienced science communicator and trainer who is now merging these talents to become a Data Scientist. She is currently studying for her Data Science degree at Cardiff Metropolitan University and is putting it also into practice as an apprentice in Nightingale HQ. Alongside a science degree from the Open University, she has a number of years of experience in presenting, science content development and training consultancy across several countries including the Czech Republic, Norway, Malaysia and her home of Wales.

In 2015 she co-founded Letterbox Lab, offering a series of innovative science kits designed to help families to play with science. Letterbox Lab was named ‘Retail Start-up of the Year’ at the Wales Start-up Awards 2019. Outside of work, Mia enjoys playing Dungeons and Dragons and caring for her curious bearded dragon, Bert.

Posts by Mia Hatton

How do I know I can trust Nightingale HQ?

Nightingale HQ takes your data and your privacy very seriously and always operate within compliance of the GDPR. For more details on how we collect and store data, please refer to our full Privacy Policy.

How do I add custom filter words to my Social Listening tool?

Your social listening tool uses plug-and-play AI from Microsoft Azure to measure the sentiment of Tweets mentioning your brand, and alerts you when the sentiment is negative. However, you may wish to include custom ’negative words’, for example if you are listening for Tweets in a language not supported by Azure’s Text Analytics.

Can I add an approval step instead of automatically Retweeting positive Tweets?

Your Social Listening tool includes a Retweet feature that automatically Retweets Tweets that match your search term and are found to have ‘positive’ sentiment. By following the steps below, you can add an approval process to this step, allowing you to send an email to yourself asking you to confirm the Retweet action.

Can I change the threshold of a ‘positive’ Tweet that is automatically Retweeted?

Your Social Listening tool includes a Retweet feature that automatically Retweets Tweets that match your search term and are found to have ‘positive’ sentiment. The tool calls Azure’s Text Analytics cognitive service, which analyses the text in a Tweet and returns a value for sentiment between 0 (extremely negative) and 1 (extremely positive). The threshold of a “positive” Tweet is by default set at 0.7, but you can adjust this value to only Retweet the most positive Tweets (threshold higher than 0.7) or to retweet anything that is not overtly negative (threshold of 0.5). Be aware that the lower you set this threshold, the more times you will Retweet Tweets that mention your search term.

Can I use Social Listening for posts in a language other than English?

Your social listening tool uses plug-and-play AI from Microsoft Azure to measure the sentiment of Tweets mentioning your brand, and alerts you when the sentiment is negative. By default, the tool is set up to analyse the sentiment of Tweets written in English, but several other languages are available.

What will my Social Listening tool cost?

The ongoing cost of your Social Listening tools can vary depending on where you set things up, as Microsoft Azure prices vary slightly by region. However, the rough cost per mention is about £0.01 so the price is entirely dependent on how much it handles. You can set a budget on your Azure subscription to alert you before the costs add up more than you want them to. After your tool has been set up, follow these steps in the Azure Portal to set up a budget and usage alerts.

Why do I need to configure my Social Media tool?

Your Social Listening tool makes use of the Logic Apps platform, which has its own dedicated connectors for Twitter and Email that we can’t authorise on your behalf. These need you to specifically authorise them for ongoing activities. It’s also a really good opportunity for you to have a look around, as the setup is all yours and you can modify it however you want.

What are mentions?

Your Social Listening tool listens for “mentions” of your brand that trigger a sentiment analysis and content moderation process. A mention is a tag of your handle or page in a message, post or image share, for example:

What Is Artificial Intelligence Ai

Artificial Intelligence can be used to perform ‘cognitive’ tasks like recognising the content of an image or what things are important in text. For social listening we use AI to identify inappropriate images that fail content moderation standards and we use text analytics to identify negative sentiment to help identify unhappy customers.

What does the Social Listening tool do?

Social Media Listening includes a number of different areas, but two that are close to the hearts of all businesses are customer services, and reputation management. It’s important to respond quickly when someone’s experiencing an issue, or when content might be inappropriate for your brand.

How do I set up my Social Listening tool?

There are two stages to setting up the Social Listening tool. First, we create a group of tools for you and place them in your Azure account. Next, there are some steps that you need to go through to configure the tools. Once you’ve completed the steps below, have a look at the list of posts that walk you through optional customisation steps.

What permissions do you need to set stuff up for me and how can I manage these permissions?

What Microsoft permissions do you need to set up my tools? We will ask for the permissions we need to support setting up things for you. This includes the ability to work in Microsoft Azure on your behalf, and the ability to configure parts of your Office 365 setup if you have one. This connection will be managed through an Azure Active Directory Application which you will have control over.

What do I need to get started with the Social Listening tool setup?

To be able to proceed with setting up the GoSmarter Social Listening tool, you need to:

How can I set up my Social Listening tool to work with multiple Twitter accounts?

When your Social Listening is first set up, you are asked to log in to your Twitter account to set up social listening and (optionally) Retweeting of positive mentions. If you want the ability to Retweet from different accounts that work with different search terms (for example, if you represent an agency handling multiple clients’ Twitter accounts) you can clone your Logic App and configure each Logic App to Retweet from a different account.

How do I listen for multiple search terms with my Social Listening tool?

Your Social Listening Twitter tool ’listens’ for Tweets that match a search term that you define. Your search term can be as simple as your business handle (in the format @yourhandle) or it can contain multiple terms linked together by and, or and not operators. You should limit your search to ten parameters.

How do I create a subscription in Azure?

During set-up of your Social Listening tool you will be asked to select an existing Azure subscription for your tool. If you do not already have a Subscription in your Azure account, go to the Azure portal, log in, and follow the steps below. If you don’t already have an Azure Account, follow the steps in this guide.

How do I get started if I don’t have an Azure account already?

If you already have an Azure account, you can get started with the GoSmarter tools immediately by signing into Azure with your work account. If you do not, there are two ways to get an Azure account set up ready for your GoSmarter tools.

What does Nightingale HQ actually do?

Nightingale HQ is a diverse group of individuals who share the same goal - to make Your Business and Your People AI-ready. This emerging tech will be integrated into every business in the next few years and we are developing a platform that combines a robust set of data, AI and business expertise. Our track record lies in helping individuals and organisations generate value, both cost saving and revenue generating no matter what stage of the maturity curve they are at. Our platform consists of three core products:

Why can't I sign up?

In order to access Nightingale HQ, you must be using a company email account as opposed to a personal one. You may receive an error message if you try to sign up with a personal email address.

Are there any fees?

As an organisation or business leader looking for a data or AI consultant, it is currently free to sign up for Nightingale HQ AI Connect and find your match. Once you have matched with a consultant, it is down to you to negotiate your terms outside of the app.

Is my information public?

If you are a customer looking for a data & AI partner who can help you, partners whom you click through to or message will be able to see your details for the purpose of engaging with you. No other partners will be able to see your data. Your data is not available to other customers. Your data is not distributed to others.

How can I search for partners?

Completing your profile The more complete your profile is, the better the matches in the PARTNERS section will be. Once signed in, navigate to YOUR COMPANY and click EDIT in the corner of each section to make changes.

Can I contact partners?

After we’ve shown you the partners who match your needs, you probably want to get in touch with them after taking a look at the info they have provided.

How can I edit my company?

Once signed in, navigate to YOUR COMPANY and click EDIT in the corner of each section to make changes.

How can I reset my password?

Visit our Forgot Password page to get a password reset link sent to your email address.

What is a Partner?

A partner is a business that provides services around data and AI. They are typically consultancies of 1-200 people and have a specialism in a particular area.

What are Tech Stacks?

You may also hear tech stacks referred to as data ecosystems or a solutions stack. They are relevant because they tell the developer what the strengths and weaknesses are of an application and indicate what tools and knowledge are necessary to be able to work with it. Correctly defining the tech stacks your company uses or will be using is crucial to finding a good match who will be familiar with your systems.

How do I publish my profile?

What are Tags?

Tags are how we build up a profile of organisations and partners to support the process of matching them up.

What is a Vertical?

Business verticals are narrow markets whose specific needs make them especially likely to want your offerings.

How do I add an Offering?

If your offering isn’t available but is data & AI-related, then use the ’tags’ section of your profile to add it. We regularly review the custom tags and promote tags there to the relevant section. The tags are also included in search immediately so you won’t miss out on any traffic.

How do I know if a partner is a good match?

Our matching algorithm will show you your best matches at the top of the ‘Partner’ page based on the parameters in your profile. You also have the option to search for partners using a keyword or add additional search criteria on the left-hand side of this page, which may further filter down the matches that you see.

What is an Introducer Agreement?

The introducer agreement is an agreement between you as a partner and us as a provider of the AI Connect service. We ask all partners to read and accept the introducer agreement before using the service.

What is Google Cloud BigQuery?

BigQuery is a fully-managed, serverless cloud data warehouse that scales with your needs and is easy to set-up and manage. By adopting BigQuery, you can avoid the hassle of developing and managing the infrastructure needed to store large, complex datasets, allowing you to focus on gaining insight from your data.

What is Python?

Python is a popular programming language with a wide variety of applications including data science, web development, scientific computing, and software development.

What is Google Cloud?

Google Cloud is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search and YouTube. It provides pay-as-you-go access to vast data storage and computing capabilities and allows you to scale the costs as you grow.

What is Azure?

Microsoft Azure is an ever-expanding set of cloud services to help your organisation meet your business challenges. It’s the freedom to build, manage and deploy applications on a massive, global network using your favourite tools and frameworks.

What is Jupyter?

Jupyter is a suite of products that support data science and scientific computing, including Jupyter Notebook, JupyterHub and JupyterLab. It is 100% open-source software, free for all to use and released under the liberal terms of the modified BSD license.

What are Azure Cognitive Services?

Azure Cognitive Services is a comprehensive family of AI services and cognitive APIs to help you build intelligent apps. Cognitive Services bring AI within reach of every developer – without requiring machine-learning expertise. All it takes is an API call to embed the ability to see, hear, speak, search, understand and accelerate decision-making into your apps.

What is AWS (Amazon Web Services)?

Amazon Web Services is a cloud computing platform that provides customers with a wide array of cloud services. We can define AWS (Amazon Web Services) as a secured cloud services platform that offers compute power, database storage, content delivery and various other functionalities.

What is IBM Cloud?

IBM Cloud™ is a robust suite of advanced data and AI tools, and deep industry expertise to help you on your journey to the cloud. There are more than 100 products available from IBM Cloud, across 16 categories.

What is Power BI?

Power BI helps teams implement business intelligence with ease. It is relatively simple to start building dashboards of interactive visualisations from a range of data sources, so you can start to see actionable insights very quickly.

What is the Internet of Things?

The internet of things is everywhere, and the best way to start explaining it is to have a look around you. If you have a wireless printer, a thermostat, or a virtual voice assistant, you have IoT devices within your home, and you can probably control them all from your tablet, phone or assistant, as they are all connected to the internet.

What is AI?

Artificial intelligence is a technology that can ‘think’ in a human-like way. It is a diverse area of computer science that enlists tools such as machine learning and image processing to recreate and build upon the complex capabilities of the human brain.

What is Amazon S3?

Amazon S3 is described by Amazon as “object storage built to store and retrieve any amount of data from anywhere”. Similar to Google Drive in that it can store many different data types, Amazon S3 makes it easy to meet the data needs of large and complex web applications - including Netflix, Airbnb, and Amazon itself.

What is AWS Redshift?

Amazon Redshift is a cloud-based data warehousing solution that allows you to store, transform and query vast volumes of data at high speed.

What is data science strategy?

Data science strategy refers to a company’s vision for how data will be used to help achieve the company’s business goals, how to build a thriving data culture, and how to address the skills and knowledge required to execute this vision.

What is data strategy?

Data strategy refers to a company’s vision for how data will be used to help achieve the company’s business goals. This enables companies to analyse progress and make better business decisions, but it also helps to create a thriving data environment where it can be easily shared and accessed, safely stored and standardised, and viewed as a central resource to all departments.

What is AI strategy?

AI strategy refers to a company’s vision for how AI will be deployed to help achieve the company’s business goals. It should be closely linked to your data strategy and hence to your business objectives.

What is data science consulting?

Data science consulting is a service that will help your organisation develop a data science strategy and implement data science solutions. You may need a consultant to help you start integrating data science into your business strategy, or to help keep your projects on track.

What is data science auditing?

Data science auditing is a review of your data science solutions to assess their quality, security and compliance. This helps businesses produce good quality data science solutions.

What is data platform development?

A data platform is a service that includes data collection, storage and analysis. Developing a data platform creates a central service that encompasses a data warehouse, business intelligence tools, and a suite of data science and analytical environments.

What is data platform auditing?

Data platform auditing reviews your data platform against fitness for purpose measures such as security, compliance and structure. This helps businesses ensure compliance and protect assets and data, by reviewing and improving the security of your data platform.

What is data platform security auditing?

Data platform security auditing reviews the security of your data platform and provides recommendations for improvements. This helps businesses ensure compliance and protect customer data.

What is data science development?

Data science development is the development of custom data science solutions (algorithms, models) from the data source to the deployment of the models.

What is data science?

Data science applies scientific methods to data to reveal insights and predictions that can help you to meet your business goals. This helps businesses build better products and make better decisions.

What are long-range, low-power sensor networks?

Long-range, low-power sensor networks are a type of wireless technology. They are systems of connected sensors that work over a large area using little power. This means that they have the benefits of wide-area mobile networks at a lower cost.

What is developing a centre of excellence?

Developing a centre of excellence promotes collaboration in your business and defines best practice for your specific focus area - whether it be AI, data science, analytics or business intelligence - to drive progress towards your strategic goals.

What is business intelligence?

Business intelligence refers to the systematic collection, integration, analysis and reporting of data from all areas of your business - from finance and sales to worker productivity - to drive better decision making.

What is data warehousing?

Data warehousing refers to building a system that can store large volumes of data from several sources, as a central repository from which all other systems can access the data efficiently.

What is remote support?

Remote support tools are IT tools and software that enable an IT technician or a support representative to connect to a remote computer from their consoles via the Internet and work directly on the remote system.

What are database improvements?

Database improvements can mean improving the design of the database, improving the performance of the database, and improving the security of the database.

What is database maintenance?

Database maintenance plans are a method of ensuring that a database is optimised and performing well. This helps businesses reduce downtime and data loss and ensure accurate and reliable data is available for modelling and insights.

What is data visualisation?

Data visualization is the graphic representation of data. It involves producing images that communicate relationships among the represented data to viewers of the images. Data visualisation empowers all of the teams in your organisation to make data-driven decisions and act on insights from your data.

What is AI product development?

AI product development is the development of an AI solution - either from scratch or building upon an AI solution that is used internally - that can be made available externally as a marketable product.

What is AI integration into applications?

AI systems such as natural language processing and machine learning algorithms can be integrated into existing applications to add functionality and improve their performance over time. Examples of AI features that can be integrated into applications are facial recognition image processing, speech processing and personalised content.

What is Azure Batch?

Azure Batch is a service that manages the workload of applications. It is designed to take the workload that is greater than the capability of your application, and divide it between a number of nodes - virtual machines (VMs) - that can each run your application and perform different parts of the workload in parallel.

What is Azure Data Factory?

Azure Data Factory is a cloud-based data integration service. It does not store data itself, but allows you to create and monitor automated workflows that collect, integrate, and (to some extent) transform large volumes of data from disparate sources, and pass them on to other services that can store, transform, analyse and use the data.

What is data collection?

Data collection is the process of gathering and measuring information on targeted variables in an established system. Data collection helps businesses evaluate and improve internal operations, evaluate performance, solve business problems, better understand customers and how to serve them, and make better decisions.

What is data modeling?

Data modeling is the process of structuring and organising data as a map that clearly visualises data sources, transfers and relationships. Data modeling helps businesses build products that use data efficiently and meet business goals, empower teams to make data-driven decisions efficiently and manage large volumes of data.

How to use Azure Cognitive Services to make voiceovers for your videos

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 generating speech from text can be used in a wide range tasks but one of the ways we're using it at Nightingale HQ is to support our marketing team.

Add an FAQ bot to your Facebook page with Chatfuel

If your business has a Facebook page, and you and your staff often find yourselves answering the same questions repeatedly via Messenger, you can take ten minutes out of your day to save hours of time in the future. Score a quick-win with AI by building your first FAQ bot with Chatfuel.

Take the hassle out of note-taking with Otter.ai

How much time is spent taking and distributing minutes in your organisation? How often are your staff impacted by miscommunications, forgotten action points and lost meeting notes? All of these losses can be avoided when you use an AI tool to automatically generate searchable transcriptions of your meetings.

Removing AI bias for better decision making

It is difficult to deny that humans make biased decisions. Unconsciously we all make choices that are based on prejudices and flawed associations. This bias that we introduce to our business decisions can trickle through entire organisations, from recruitment to market segmentation. AI, with its lack of consciousness, human experience and gut feelings, has the potential to remove bias from businesses, and yet all too often AI is found to exhibit the same biases that we do.

How AI in marketing is enhancing B2B sales

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 anytime soon. With marketers showing "extensive interest" in exploiting AI for their roles, more and more tools are becoming available to support companies on their journey to smarter marketing. AI is transforming the way companies market their products and services to other businesses, streamlining processes at all levels of the sales funnel.

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

According to research by MMC Ventures, 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.

Let your business strategy drive AI adoption

To reveal the tactics and behaviours of companies that are getting the most out of AI, MIT Sloan Management Review and Boston Consultancy Group undertook a survey of more than 2500 executives alongside 17 expert interviews in their 2019 report, Winning with AI. One of their findings was that while 9 out of 10 respondents saw AI as an opportunity for their company, the perceived risk of AI is on the rise, with 45% of respondents reporting perceived risk from AI (compared to 37% in 2017).

Can AI outperform medical professionals in diagnosis?

Last year the Guardian 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.

How can companies lay the foundations to scale up AI?

Implementing AI at scale in an organisation can yield a wealth of benefits, from improving profit margins to saving workers' valuable time. But getting value out of AI projects requires long-term planning, culture shifts and organisation-wide training.

Do you really need big data to start using data science?

All businesses generate data. Even the smallest business has access to hundreds, if not thousands, of interesting data points that they could explore. But it is not uncommon for business owners to think their data is small, inferior and not yet worth analysing. This is where they are wrong every time. Starting small is the best thing you can do, so we say, the time to start your first data science projects is now.

How to get AI to work for your business and enhance operations

Enterprise cognitive computing is the application of AI to enhance business operations. It has a wide range of applications including call handling, fraud detection and maintenance scheduling. ECC systems automate repetitive tasks and improve efficiency through fast search and information processing.

How do I configure my Social Listening tool if I use G-Suite instead of Microsoft 365?

Part of the configuration step of your Social Listening tool involves logging into Office 365 Outlook to set up an email that is triggered when a negative Tweet matches your search. You can still use this feature if you use G Suite for emails rather than Outlook 365, by following the steps below:

What is cloud data development?

What is Microsoft Azure?

Microsoft Azure is a cloud platform that hosts technology and software for your business. Many things you may already use in the cloud like Microsoft Teams actually run on Microsoft Azure. Microsoft Azure is a highly secure, government trusted platform and has no-code software like Microsoft Logic Apps and plug-and-play AI like Microsoft Cognitive Services. These aspects plus the super low price tag mean we can set up a fully customisable social listening solution for you in a platform that is all yours. You can read more about Azure in our Azure knowledgebase article.