Revolutionising Recruitment with Myn's AI-Powered Platform

The world of work is evolving faster than ever, and at Myn, we're at the forefront of this transformation. Our digital source-to-pay platform is set to change the way employment is done, and here's how we're doing it.

The Power of AI

At the heart of Myn's innovative platform lies the power of Artificial Intelligence (AI). AI is not just a buzzword for us; it's the driving force behind our end-to-end solution, enabling intelligent talent sourcing and matching.

Our platform encompasses various features, including self-service talent acquisition, fully funded payrolling services, digital compliance solutions, job boards, and enticing employee benefits. Imagine it as the 'Uber' of the employment world - disruptive and transformative.

AI and Machine Learning Unleashed

Myn is not just a product; it's an AI-driven marvel. We've developed our own AI Embedding Models, meticulously trained on a staggering 4 billion words from over 100 million candidate profiles and job descriptions.

But what does AI and Machine Learning really mean, and how do they come together?

Demystifying AI and Machine Learning

AI, or Artificial Intelligence, is a branch of computer science dedicated to creating autonomous programs and agents. These intelligent entities can think, reason, and learn independently.

Machine Learning, a subset of AI, takes the game up a notch. It's about learning from data to make predictions without needing a pre-programmed set of instructions. Instead, it identifies patterns in data, much like how your brain recognizes familiar faces.

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Machine Learning comes in various flavors, including Supervised Learning, Unsupervised Learning, and Self-Supervised Learning. Let's zoom in on the latter, Self-Supervised Learning.

Self-Supervised Learning

In Self-Supervised Learning, the AI system predicts some aspect of the data itself. For instance, it might predict a missing word in a sentence, which doesn't require a predefined set of examples. This technique is commonly known as Language Modelling, the magic that powers models like ChatGPT and Bard, as well as Vector Embeddings that unlock text-based semantic searches.

Now, the exciting part: how Myn deploys these techniques to revolutionize recruitment.

The Myn Approach to Recruitment

Our dedicated Text Embedding Model is the linchpin of our mission. We aim to match candidates to vacancies quickly, efficiently, and accurately by determining the semantic similarity between two pieces of text. This is where Embedding Models come into play.

Embedding Models are all about making text machine-friendly. We create a vocabulary of words, assign unique numerical representations to each word, and tweak these numbers to bring similar words closer together and push different words apart. This creates a unique signature for every word.

A solid Embedding Model lets us do fascinating things. For instance, we can amalgamate individual word vectors from a piece of text to craft a vector embedding for a whole sentence or any piece of text. This enables us to compare the text in a job vacancy with a candidate's work experience and gauge their similarity. The result? A metric we use as the basis for scoring and ranking candidates.

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However, recruitment isn't just about matching; it's also about understanding why one candidate is suitable while another isn't. To accomplish this, we break down work experience into skill groups automatically extracted from job descriptions. Skill group scores help us highlight a candidate's strengths and weaknesses in an accessible and intuitive way.

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The AI dives deep into the job description, pinpoints the essential skills, and groups them into skill categories. These categories receive varying degrees of importance when we search for suitable candidates.

The AI then evaluates a candidate's profile and measures it against the required job skills. The matching process automatically considers other vacancy requirements such as location and employment type, along with the relevant work experience and the needed skill groups.

In the end, the best-suited candidate receives a recommendation and an invitation to apply. It's the culmination of AI and recruitment, simplifying the process for both recruiters and candidates.

Myn is revolutionizing recruitment with a blend of AI and Machine Learning. Our platform offers an efficient and effective way to find the perfect match for both candidates and employers. Join us on this transformative journey into the future of employment. Your next career move or ideal candidate might just be a click away!

Ready to be part of this revolution? Learn more about Myn today: https://myn.co.uk/