Machine Learning
Becoming an MLOps expert (4)
Through this blog series, we’ve already learned that if you are investing in data science, you should be looking at Machine Learning Operations (MLOps). But getting started isn’t always easy. Before jumping in, it’s important to ensure you are well supported on your journey and setting yourself up for success. You will need to understand your organisation’s level of maturity in both data and…
Becoming an MLOps expert (3)
The main challenge with MLOps implementation? Data scientists’ limited experience of productionising solutions. This is not surprising: until recently Machine Learning (ML) solutions were more of an exception, rather than a rule in most organisations. Data science roles themselves are still a new and fast-evolving but under-served professional area. However, cloud providers and businesses are…
Blog series: becoming an MLOps expert (2)
In my first blog, we introduced the concept of MLOps (Machine Learning Operations). Now, we will go through the benefits of applying MLOps – which are considerable.       Using MLOps to unlock much faster ML project delivery MLOps reduces overall project times in several ways: Handovers are quicker. Having a documented process makes it easier for…
Blog series: Becoming an MLOps Expert (1)
Adoption of Artificial Intelligence (AI) is increasing year-on-year. Within this, research shows that Machine Learning (ML) applications and platforms account for almost two-thirds of all AI investment¹. For those with the skills, tools and understanding, ML represents a significant market advantage that will increase over time, as leaders find new applications for the technology, propelling…
MLOps: the Kainos approach to bringing DevOps productivity to your Machine Learning teams
Our MLOps one-pager explains how you can move faster by transforming the operational gains from data science by adopting ML. Read the one-pager to find out more. To find out more about our MLOps offering and how we’re helping enterprise customers realise their ambitions click here.
Meet Kainos’ new Head of Data Science
Over the past 12 months, Kainos’ Data and AI practice has grown significantly as we continue to support our customers on their maturity journey from tactical, to strategic and transformational use of data and artificial intelligence. To support our continued growth, we have hired a new Head of Data Science, Alexey Drozdetskiy. We had the…
Case study: HM Land Registry – Using AI for Intelligent Document Comparison
Find out how we used artificial intelligence and machine learning to automate document comparison, improving efficiencies and reducing costs, for our customer HM Land Registry. Click here to read the case study to find out more. Visit our AI page to see how we’re helping our customers gain new insights using AI.
Top 5 Intelligent Automation trends for 2021
2020 has been a year of accelerated adoption of Intelligent Automation. A recent survey by the World Economic Forum found that more than 80% of business executives are accelerating plans to digitise work processes and deploy new technologies; and 50% of employers are expecting to accelerate the automation of some roles in their companies. This…
Kainos shortlisted in the Computing AI & Machine Learning Awards
Kainos, a leading provider of digital services to clients in the public, private and healthcare sectors around the world, has been shortlisted in the Best Use of AI category in the upcoming Computing AI and Machine Learning Awards. The Computing AI & Machine Learning Awards are designed to recognise the best companies, individuals and projects…
Model Ops: Getting to production with Machine Learning
This blog looks at the challenge of taking machine learning (ML) models from the data science notebook running on a laptop to integrating ML as a robust part of a live service. The Challenge  Productionising a machine learning model is partly an organisational and cultural challenge. The area is still extremely new and even experts…