DEV Community: MillieFuller

The Use of Artificial Intelligence in Email Marketing

MillieFuller — Fri, 10 Mar 2023 13:05:21 +0000

Email is one of the staples of marketing, and still one of the most effective. Let’s be honest though, so often email marketing is simply a spray-and-pray method: brands send out blasts with little direction and hope something will stick.

But with the advent of AI, we're now able to cut costs, improve ROI and make smarter decisions about which emails are sent, where, and when. As our technology continues to evolve, so do the ways in which we can use it to better the customer experience. Just recently, we’ve seen a rapid evolution, with Interest in AI now at an all-time high. The word on everyone’s lips being ChatGPT.

Dynamic content

As the number of emails that people receive on a daily basis continues to rise, it's becoming increasingly challenging for businesses to stand out in the crowd.

One way that businesses can make them more engaging is by incorporating dynamic content. Dynamic content refers to elements in an email that can change automatically based on factors such as the recipient's behaviour, location, or preferences. This type of content can help businesses personalise their emails and provide a better user experience for their subscribers with minimal effort.

One popular tool for incorporating dynamic content into email marketing campaigns is the Einstein module. This technology, developed by Salesforce, uses artificial intelligence to analyse data and show personalised product recommendations. Einstein might suggest products based on the customer's past purchases or browsing history.

The benefits of using Einstein-type modules in email marketing campaigns are numerous. By providing personalised recommendations, businesses can increase the relevance of their emails and improve the likelihood that customers will engage with them. This can lead to higher click-through and conversion rates.

For the business, it saves time and resource by automating the process - no more manually crafting unique emails for each customer.

Send time optimisation

This technology uses machine learning algorithms to analyse data on when subscribers have historically engaged with emails and automatically determines the best time to send each email for maximum engagement.

Automatic send time optimisation can be a valuable tool for businesses with large email lists, as manually determining the best send time for each individual subscriber can be a time-consuming and difficult task. When you think that the USA alone has 9+ different time zones, that’s huge!

Furthermore, by using machine learning, the optimal send time can change and adapt to shifts in the recipient’s behaviour.

Email copy

Even if they don’t have a dedicated copywriter in-house, businesses can benefit from AI-powered tools to create email copy. Rather than spending hours writing each individual email, businesses can use AI-powered tools to generate it quickly and easily.

However, while AI-powered copywriting tools can be a valuable resource for businesses, they shouldn’t replace a human writer. They can provide a starting point, but it's important to have a human touch on the final product. Humans can provide a level of creativity and nuance that is difficult for AI-powered tools to replicate and can ensure that any copy is consistent with a brand's voice.

Automatic recommendations

By leveraging machine learning algorithms and data analysis, AI tools can provide businesses with insights and recommendations on how to improve their email campaigns, such as optimising subject lines, improving email design, or identifying opportunities for personalisation.

One example of this is OptiBot. OptiMove’s AI analyses data on email performance to give personalised recommendations on how to improve email campaigns. For example, OptiBot can analyse subject lines and provide suggestions for how to make them more compelling or analyse email content and provide recommendations for how to improve the layout and design to increase engagement.

Furthermore, it can also provide businesses with insights on broader trends and patterns in their email marketing performance. For example, identifying the types of content or promotions that resonate best with subscribers, or identifying segments who are more likely to engage with certain types of emails.

Predictive analytics and behaviours

Predictive analytics not only allows businesses to understand customer behaviour but anticipate it by analysing past customer interactions with emails and other touchpoints. For example, it can identify patterns the likelihood of a customer making a purchase in X days. This information can then be used to send targeted emails to that segment, such as offering them a discount or highlighting relevant products.

Another way that predictive analytics can be used in email marketing is to identify customers who are at risk of churning or becoming disengaged and send a series of re-engagement or ‘win-back’ emails to reduce the likelihood of attrition.

Flagging anomalies

AI can also be used to identify and flag anomalies and errors in email campaigns. Instiller's software is one such example of this. It analyses campaigns and flags errors before the email is sent. By automatically flagging issues like broken links or potential spam filter triggers, AI-powered email marketing software like Instiller's can help businesses avoid costly mistakes without the need to rely on manual checks and reviews prone to human error.

Summary

Artificial intelligence is being used in email marketing to drive better results and increase ROI. AI-powered tools can help businesses to personalise their email campaigns, optimise send times, and automatically flag errors and anomalies.

One key advantage of AI in email marketing is that it can increase engagement and ROI by delivering more personalised and relevant content to subscribers. For example, analysing purchase behaviour and showing appropriate product suggestions, increasing the click-through rate and chances of conversion.

Another benefit of AI in email marketing is that it can help businesses to save time and reduce costs. By automating certain aspects, such as send times, businesses can reduce the amount of manual work required and improve efficiency.

AI can also increase accuracy and reduce errors. For example, by automatically analysing email content to ensure that it’s free of errors or spam filter triggers, reducing the risk of emails being sent with issues.

As businesses continue to explore the potential of in email marketing, I’m sure we can expect to see more advanced and sophisticated applications of this technology in the years to come.

The Rise of AI-Powered Homes

MillieFuller — Wed, 28 Sep 2022 09:37:45 +0000

The AI-powered home. Once confined to the realm of science fiction and movies, is all around us. While many of us have been benefitting from smart devices for several years, AI improves our lives that little bit more.

Artificial Intelligence enhances our smart devices so that they learn to adapt to their environment. In essence, they simulate the human ability to learn and react. This ability to flex with the changing environment streamlines our lives, with much less need for input from us. From the smart assistant learning to choose movies and music that suit our tastes, to the intelligent thermostat adjusting the temperatures of our houses to fit our personal comfort levels, we’re using AI in our homes every day.

Here we take a look at some of the reasons why we love our AI devices.

We Love the Convenience

There’s no denying that AI smart tech is convenient. AI appliances are becoming increasingly interconnected, so they can all be managed from a single device or app, regardless of the manufacturer.

Gone are the days when you needed a separate remote for the TV, Hi-Fi and Blu-ray player and had to hunt down the back of the sofa for them. Just unlock your smartphone with the AI face recognition software, flick to the right app and turn on the device of your choice. Misplaced your smartphone? No problem, get the friendly voice assistant to help you out.

Need to turn on the lights? You don’t even have to move from the sofa! Running late from work and haven’t started cooking dinner? You can start pre-heating the smart oven from your car.

For the multitaskers amongst us, AI is a God-send. How many times have you been in the midst of cooking, only for the doorbell to ring? With AI tech, you can check who it is and tell them to leave the parcel on the doorstep, all while slicing your carrots.

AI Boosts the User Experience

AI-powered smart TVs and smart assistants are almost invisible to us now. These amazing bits of kit learn our preferences for almost all media consumption. Watch a particular TV show on a regular basis? The smart TV will recommend to you half a dozen new shows with the same actors and actresses, or a similar genre.

Likewise with music. AI music devices not only learn who your favourite bands are, they also learn what you like to listen to at particular times of the day. So you won’t be woken up to heavy metal when your 6am alarm goes off (unless you’re that way inclined!)

In the kitchen, AI-powered refrigerators can identify the foods that you buy on a regular basis and check in with you when your stock is running low. Going a step further, some smart refrigerators will even go the extra mile and place an online order at your local supermarket. You’ll no longer be able to blame other household members for not replacing the milk!

Through the power of AI, you’re made to feel unique and heard, which makes you feel valued as a consumer.

AI Improves Our Independence

For some of us, AI opens the doors to independence. Convenience aside, the ability to answer the door remotely, start a video call with voice commands or dim the lights down for the night empowers us. We no longer have to rely on another person to carry out these tasks, unless we choose to.

Even babies just beginning to talk are able to use AI smart technology. Some babies learn to say "Lexa”. As children get older, they understand how to ask Alexa to play their favourite song, TV show or read a story. Alexa may not always understand, but it’s just one new way that children are learning independence, with support from AI technology.

On the other end of the age spectrum, the older generation is also benefitting from the independence afforded to them through living in AI-powered homes. As the Covid pandemic showed, smart technology enabled families to stay connected with older or at risk family members through the use of video conferencing technology, even when they couldn’t be together in person. The older generation could also maintain their dignity and independence using AI to control everything in their homes, from the temperature to the doorbell.

Home security has also improved drastically with the introduction of AI-powered smart doorbells and security cameras. These devices can help us to feel more reassured staying alone in our homes late at night because we’re able to check who’s at the door before we open it. They also give us peace of mind when we’re away, with AI devices alerting you when someone’s at the door or entering the property. Some AI supported devices will even help you call the police at the click of a button.

AI technology helps us all to be independent and gives us the freedom to live our lives as we choose. Independence is a vital part of human DNA, boosting our overall sense of self and mental wellbeing.

AI Appeals to Our Need to be Economically Savvy

An important selling point of AI appliances in the home is the promise of saving us money. As the cost of living rises day-by-day, many of us find ourselves turning to AI appliances to help us manage the impact.

AI-powered thermostats are a key part of your household’s armoury against rising energy bills. Through an app, you can set your house’s temperature to an eco-friendly and sustainable level, remotely turn the heating off when you’ve forgotten and teach the AI software to recognise when you’ve left the building.

Smart light bulbs have revolutionised the way we light our homes. These light bulbs typically use less energy and last longer than a traditional light bulb. So although they cost more upfront, in the long run you’re saving money. Plus the AI technology allows you to remotely turn off the lights when you’ve gone away for the weekend and left the bathroom light on, turn them on to make it look like someone’s home, or adjust them to match your normal living pattern.

With AI technology, not only are people saving money at home, they're also doing their bit for the environment. It’s a win-win.

AI-Powered Devices are Increasingly Affordable

Affordability has greatly contributed to the rise in popularity of AI-powered smart devices. In 2016, the original Amazon Echo was released in the UK at a cost of £149.99, while today the latest 4th generation version comes in at £89.99. Many smart devices introduced a range of devices at different price points and functionality, ensuring there was something to suit everyone’s budget.

Not only is the cost of smart technology coming down all the time, but economies of scale have also started to come into play, further fuelling the popularity of AI in the home. Many smart devices can be managed via a single app, and connected to an existing home network, so the main cost is the device itself. This integration means that people spend less time trying to get up to speed and adding a new device becomes a no-brainer.

The affordability of AI devices means that many households are making the most of smart devices to run their homes efficiently, securely and often with a sense of fun!

AI-Powered Homes are Here to Stay

With so many clear benefits, it’s little wonder that the popularity of AI-powered homes is on the rise. In a relatively short space of time, AI has integrated seamlessly in our day-to-day lives, from safely asking a smartphone to give directions without removing our hands from the steering wheel, to turning the external lights off for the night.

It’s not just consumers who believe in the power of AI, the Internet of Things (IoT) and the value of interconnectivity. The UK government has set a target of bringing gigabit-capable broadband and 4G coverage nationwide, and 5G coverage for the majority of the population by 2030. With such a substantial investment in improving connectivity, AI-powered homes are here to stay.

Why AI? 9 Benefits of Chatbots

MillieFuller — Wed, 03 Aug 2022 08:23:57 +0000

Chatbots are human replacements designed to talk to and manage customers through a website for the most satisfying experience. They can be used for a range of reasons, such as gathering information, providing customer service, or building reputations in businesses.

“Chatbots allow businesses to connect with customers in a personal way without the expense of human representatives" says Oracle, "for example, many of the questions or issues customers have are common and easily answered.”

With a rise in technological developments in recent years chatbots have been more and more frequent on websites across the world – in this article, we explore 9 ways business are benefitting from chatbots.

1. Chatbots Generate More Sales

Chatbots help to generate more sales by helping consumers find what they need most. Chatbots can redirect and provide links to key areas of a business that show the best deals and purchases for their customers.

According to Aivo, “your chatbot can be the perfect partner to promote new products and send proactive notifications. They can also offer immediate assistance to your potential customers and help speed up the purchase decision process”.

By using chatbots on a website, sales opportunities can be maximised, and more profits generated per year. As chatbots are able to run 24/7 in most cases, this can be a continuous increase in sales and revenue that can give companies the competitive edge they need over competitors.

Picture a chatbot that could recognise a user and their purchases, identify their general likes, and recommend, upsell, and close!

2. Chatbots Help Customer Understanding

One of the main reasons for using chatbots is to gather information on customers and their preferences, allowing businesses to position themselves, their offering and optimise marketing efforts.

Every sale is a negotiation and according to Scotwork “any negotiation requires us to deeply understand the other side”. Now, what better way of building that understanding than continuously gathering data in real-time, made possible with AI?

By gathering information from customer questions, general enquiries and comments, businesses can sell directly to their consumers in a more specific way and tailor the approach towards them to generate more revenue in the long-term.

3. Chatbots Minimise Operating Costs

Chatbots can limit the operating costs of a business by decreasing the amount of people needed to maintain a strong customer satisfaction level. This can be highly beneficial in raising profit margins and limiting wasted cash flow.

According to Medium Data Driven Investor, “a new study released by UK-based Juniper Research estimates that chatbots will help businesses save more than $8 billion per year by 2022. Bots have the ability to improve the efficacy and productivity of workers in businesses by providing quick answers and solutions to customers with simple queries”.

Furthermore, by using chatbots to minimise costs, companies can reinvest more profit into other aspects of their business to increase customer satisfaction and reputation.

4. Chatbots Save Time

Chatbots can save potential customers time in finding what they need. It makes it easier for consumers to make a purchase as they can find their perfect product quicker and easier.

“Rather than waste valuable and often limited time searching, what they (customers) really desire is a magic button they can press and abracadabra, all of their questions and problems are easily solved" says Neon Gold Fish, "chatbots keep things easy for everyone involved. It may not be able to pull a rabbit out of the hat, but it will sure feel like magic to your customer, without the need to keep any difficult tricks or gimmicks up your sleeve”.

By saving customers time, the journey from research to decision to purchase can be shortened.

5. Chatbots Run 24/7

Many forms of chatbots are able to run continuously forever with little to no maintenance. This makes them the perfect tool for maintaining continuously high levels of customer satisfaction throughout any time for any time zone.

According to Reve Chat, “chatbots can help businesses take customer engagement to the next level. By using conversational AI chatbots, engagement can be driven based on the user data and made more interactive. What’s more, bots can deliver consistent answers, and this helps you avoid dishing out irrelevant information to customers”.

A constant chatbot service can provide the perfect customer service to all time zones at any given moment, helping to maximise the market companies can operate in.

6. Chatbots Build Brand Trust

AI chatbots are often the first point of contact for any potential customers that wish to interact with a brand, making it the perfect opportunity to educate them about a service or product and what the company offers.

"Getting their basic questions answered immediately by a chatbot can definitely improve your customers’ satisfaction” says Emerge ITS, “customers can even ask a chatbot how to reach a real person at your business to answer their more complex questions".

Stronger brand recognition and confidence leads to more sales in the long-term for a business that has yet to build a good reputation.

7. Chatbots Help Reach New Customers

Chatbots are perfect for reaching new customers in different demographics through a range of ways. This can be highly beneficial for growing a business.

According to Research AI Multiple, “B2B and B2Bot platforms such as Kik or Facebook Messenger are some of the most popular apps. Being continuously active on these platforms helps companies reach new customers who may otherwise not want to reach out to the company with an email or call”.

8. Chatbots Provide Consistent Answers

Talking to different customer service representatives of a business can often lead to different answers and conflicting information that can lead the potential customer into confusion. That’s why steady, consistent answers from chatbots are best for building customer relations and improving brand reputation in the long-term.

“Chatbots work best when used specifically. They’re great for routine tasks and commonly asked questions. That’s where they’re capable and convenient, and that’s where they can save you time and resources” says WhosOn.

A set answer for all consumers displays a unified front that can be helpful in building brand confidence amongst the general public to maximise sales.

9. Chatbots Are Multilingual

Businesses often need to market to many different areas across the world for the best chances of growing as a business. This means that they need to employ multilingual employees or use cost-effective chatbots instead.

According to Research AI Multiple, “one of the advantages of chatbots is that they can be programmed to carry out conversation in multiple languages. This is particularly handy for global brands, operating in different markets. The way chatbots exhibit their multilingualism is that they could either ask the user, at the beginning of the conversation, their preferred language. Or depending on where in the world the user is visiting the company’s website, the chatbot would automatically switch to that region’s language”.

Operating chatbots with multilingual capabilities can be highly beneficial for expanding a company internationally or building stronger international relations.

Self-Driving Vehicles: Bottlenecks to Success

MillieFuller — Fri, 22 Jul 2022 14:20:20 +0000

The topic of self-driving vehicles (SDVs) has been in the news a lot lately. Some say that SDVs will bring about the end of personal car ownership and usher in a new era of transportation. Others say that we have decades before this happens, if ever. While both sides have valid arguments, several bottlenecks must be overcome before SDVs can become mainstream.

Legal Bottlenecks

Self-driving vehicles will require new legislation to regulate how they interact with other vehicles, infrastructure, and pedestrians.

To prevent crashes, self-driving cars must be able to communicate with one another. They also need to communicate with the cloud for their software programs and maps to be updated as needed. Additionally, self-driving cars must consider the rules of the road when communicating with pedestrians or other cars on the road; this includes stopping at stop signs and traffic lights, yielding right of way when appropriate, slowing down when approaching a school bus (or any vehicle transporting children) or making sure no one is standing behind the vehicle before reversing.

AI and Machine Learning

AI and machine learning are the main technologies behind self-driving vehicles. As you probably know, AI refers to computers that can perform tasks normally requiring human intelligence, such as visual perception, speech recognition and decision-making. Machine learning is a subclass of Artificial Intelligence in which systems learn from data without being explicitly programmed.

For example, consider the problem of detecting pedestrians in images taken by a camera on a car’s windshield. This task is considered relatively easy for humans but difficult for computers because it requires understanding objects (people) in context (moving around or standing still). Researchers have developed algorithms that can accurately identify pedestrians using only two-dimensional images. However, they require large amounts of training data to do so—for instance, millions of images showing pedestrians in various positions and light conditions against different backgrounds before they can reliably recognise them. Such quantities are prohibitively expensive for deployment at scale on consumer vehicles today.

Ethical Considerations

Ethics must be at the core of how self-driving cars are programmed. As the number of self-driving vehicles increases, ethical decisions become more complex. There are many more potential scenarios where the car must choose based on its programming. For example, imagine you’re driving down the highway when a child darts into traffic. Your vehicle could swerve into oncoming traffic, but if it did that it could mean crashing into oncoming cars or hitting other pedestrians. How would you want these decisions made?

This is just one example of an ethical dilemma that self-driving vehicles will face as they navigate our highways and city streets. To complicate matters further, some people might prefer different outcomes than others depending on their experiences or values; these differences can lead us down a path toward personal bias where we choose what kind of world, we want by selecting which cars we buy based solely on how well they perform certain tasks (such as avoiding accidents).

Cost and Funding Bottlenecks

Self-driving vehicles have the potential to be the future of transportation. But, when you think about it, many things need to happen before this dream becomes a reality.

Cost is one of these bottlenecks. For example, self-driving cars are very expensive because they have a lot of high-tech components such as cameras, sensors and computers that make it possible for them to drive themselves without any input from a human driver (although humans can override this at any time). They will become more affordable with mass production, but most people cannot afford them now.
Another cost factor is self-driving car infrastructure: whether through road construction or retrofitting existing roads with new technology like sensors to detect other vehicles or pedestrians nearby so they can react in case something goes wrong.
Training costs associated with teaching people how to operate autonomous vehicles safely without error could also present some challenges because if something goes wrong during operation, then those responsible could potentially face legal repercussions due to negligence on their part, which could lead up costing millions in damages paid out by insurance companies too!

Negative press of crashes of self-driving vehicles

Self-driving vehicles are poised to revolutionise the way we get around. They promise to make roads safer, reduce traffic congestion, and reduce greenhouse gas emissions. But before these benefits can be realised, some significant roadblocks need to be overcome – and the first is getting people to trust them.

According to an American survey, half of US citizens lack confidence in the safety of self-driving vehicles. Another study showed that 56 percent wouldn’t ride in one if given the opportunity. And a recent crash involving an Uber self-driving vehicle has only added fuel to the fire in terms of negative press surrounding these vehicles’ safety records.

For autonomous vehicles to succeed and become widely adopted, we need to address these fears head-on, and start by addressing their safety concerns.

Self-driving vehicles face many challenges before they can reach the mainstream

Despite the hype, self-driving vehicles have been slow to reach the mainstream. The technology is in its infancy and must overcome several obstacles before success:

Legal, ethical, and cost issues: The current legal framework surrounding self-driving vehicles is complex and ambiguous. It’s difficult to know what liability will apply in the event of an accident with a human driver at the wheel or whether they are liable if they are injured or killed by a malfunctioning vehicle.
Artificial Intelligence (AI) and machine learning limitations: AI has made great strides recently, but it still has many limitations when applied to driving conditions. For example, snow can obscure lane markings on roads, making it difficult for cars to interpret accurately enough for safe driving – something humans do effortlessly thanks to our “common sense” understanding of how things work in everyday situations like this one. This limitation could be solved with better sensors but would significantly increase costs, so we need a better way forward before proceeding further down this route.

Many people think that self-driving cars have the potential to transform transportation, even though they are still in the early phases of research. However, they still have to overcome several obstacles before achieving this degree of popularity. These challenges include legal issues, AI and machine learning limitations, ethical considerations around safety concerns and more funding needed for future research and development programs. As experts at caruno assert, “We need more research and answers on the safety and reliability of self-driving technology, until then we can continue to enjoy cruise control”.

How is Data Science Shaping Recruitment?

MillieFuller — Wed, 06 Jul 2022 08:33:47 +0000

Data science is revolutionising many industries, including recruitment. Data scientists are using new techniques to improve how companies find, screen and hire candidates. The key to this shift is that data science allows recruiters to use technology to improve the hiring process – from job page optimisation to predictive analytics.

In this article, we’ll explore how these technologies are revolutionising recruitment and helping companies hire faster with better results at lower costs:

Job Page Optimisation

On-site job pages are a great source for candidates, but only if optimised.

Employee Referral Programs

Employee referrals are among the best methods for finding new employees because they originate from individuals already employed by a firm and familiar with its culture.

Social Media Retargeting Campaigns

Social media retargeting campaigns allow companies to show ads to people who visited their website or clicked on links related to jobs at the company—even if they didn’t apply right away. Businesses can use these adverts to serve as a reminder, while also demonstrating perks like flexible hours and paid vacation days that might entice them into applying later on down the line.

Workforce Planning

Workforce planning is the process of analysing the future needs of an organisation. It is a strategic process that should be a part of overall strategic planning and business continuity management.

Workforce planning concerns human resource, but it also includes broader organisational issues such as:

How to attract, retain and develop employees capable of meeting current needs
What size will a team need to be to meet these objectives?
How much training do they need to perform their jobs effectively?

Employee Retention

Data science can also be used to understand employee retention. Why do employees leave? Is it because of the work environment, or a lack of opportunities for advancement? Does their job satisfaction depend on factors that can be measured, such as pay or benefits? Data science can help employers answer these questions and identify where they fall short. Using data analysis to track attrition rates in an organisation over time and figuring out what causes people to leave, helps businesses to create more effective hiring practices and better retain top talent.

Candidate Sourcing

Recruitment agencies have access to a wealth of information on candidates, including their education and work history, compensation package, and even what they are like as individuals. They also employ techniques such as behaviour-based psychometric assessment. As a result, they can find the candidate that will be a good fit.

Candidate sourcing includes job and social media sites like LinkedIn or Twitter. However, these sources may not provide as much relevant information about candidates as your recruitment agency does because they don’t have access to all the information about potential employees that an in-house recruiter does.

HR Analytics

HR analytics helps companies identify trends and patterns in their workforce, helping them make better decisions about their workforce and improve its quality.

In today’s digital age, data is everywhere, and HR analytics is becoming a more common part of human resources management and recruitment processes. The popularity of these applications has also created new job opportunities for people who want to use their skills or expertise in this area.

Predictive Analysis and Machine Learning in Recruitment

Predictive Analytics

Predictive analytics is another important machine learning application in recruitment. Predictive analytics can predict a person’s behaviour, preferences and many other things. For example, by analysing previous records of candidates hired, companies can predict the likelihood of them leaving if they receive a better offer. Predictive analytics can also determine if a candidate will be successful based on their past performance and personality traits (among other things).

Machine Learning In Recruitment: Where Is It Going?

With machine learning becoming more popular in recruitment due to its ability to process large amounts of data quickly and accurately, it is only a matter of time until more companies start using it more often than not during the hiring process. If this happens, it will change how we hire forever.

Data science can speed up hiring and cut costs by up to 75%

Data science has helped companies hire faster and reduced the cost of hiring by as much as 75%. Companies are using data science to hire faster by improving the speed at which they can review resumes and shortlist qualified candidates. In addition, companies are using data science to improve the quality of their hires through better screening processes that eliminate unsuitable applicants early on.

However, not everyone trusts it due to its complexity, which may be a bottleneck to implementation. What is clear is that in a working world experiencing huge shifts, big changes are necessary and revolutionary companies are already implementing this.

By understanding the types of individuals who will perform well in their roles and where to discover them, artificial intelligence and machine learning are revolutionising recruitment. Companies can use these technologies to their full potential to create an even more diverse and inclusive workforce ready for tomorrow’s challenges.