Leverage machine learning to enhance digital transformation
Enhance your digital transformation
The key to supporting your machine learning goals will be identifying where you are on your data science journey, whether you’re just starting out or having challenges scaling effectively. Kainos helps organisations to climb the Machine Learning Maturity Scale from tactical to transformational, enabling them to operationalise increasingly complex models.
Using our unique combination of industry-leading engineering, DevOps and cloud expertise, we work alongside you to share knowledge that ensures ongoing self-sufficiency, improved accuracy and reduced time to market.
Machine learning can help your business:
- Drive competitive advantage with technology
Bring new products and services to market under growing pressure, with cost to income ratio at front of mind - Achieve business agility and digital transformation -React faster to evolving customer needs and shifting market demands.
- Improve the customer experience - Embrace technology to enhance customer journeys, speed up decision making and personalise offerings.
- Deliver significant operational efficiencies - Leverage machine learning to reduce sales process efforts and increase the automation of claims management
Responsible AI
Did you know that there are 28% less AI failures for organisations that have responsible AI practices?
Delivering AI responsibly is critical, to avoid unintentionally inflicting harm with AI solutions and to protect your organisational reputation, allowing you to adopt AI confidently.
At Kainos, we enable organisations in responsible AI through a range of services:
Helping you navigate and plan your approach
We help you trace your path to responsible AI, by helping you define your responsible AI ambition, informed by critical standards and regulation, and turn this into a practical roadmap for your organisation to follow. We can then also help you implement this plan. This can involve, for example, the institution of an AI policy or AI ethics committee.
Our accelerators include:
- Responsible AI maturity assessment
- AI governance framework
- Immersion session into the risks of AI
- Partnerships with AI governance platforms
Helping you deliver AI responsibly
We help you embed ethical considerations in AI delivery and see how to map, measure and manage AI risk in a unique AI project.
Our accelerators include:
- Ethics & harms workshops
- Algorithmic impact assessment
- AI ethics development framework
- Responsible AI deep-dives on topics like LLM guardrails or post-hoc explainability
We have experience supporting organisations in the public sector and commercial sector alike to uplift their responsible AI approach. To learn more, please contact us.
The Kainos Machine Learning Maturity Scale
Kainos have identified five key levels of machine learning maturity, each with a set of typical characteristics, that we use to define our maturity scale. This is an indicative guide and your organisation may have elements at maturity levels outside of these parameters. Kainos prioritises specific improvement tasks to achieve the maximum benefit for your business, aligned to your goals.
If you’re more advanced in your maturity (Level 3-5), consider MLOps.
Move from experimentation to production quickly and confidently with Machine Learning Operations (MLOps). Machine Learning (ML) represents a significant market advantage for organisations that can harness it but success hinges on the ability to make ML operational, repeatable and scalable – enter MLOps.
Increase machine learning productivity with MLOps
Kainos combines ML, DevOps and Data Engineering technical expertise to standardise your ML models for production cloud deployment:
- Create repeatable model templates from experiments to production that can be repurposed and reused across multiple ML solutions
- Increase the speed of model deployment, iterations, and fixes
Standardise through MLOps to increase speed, reduce costs and drive alignment
We help you ramp up quickly with a tried and tested framework of playbooks and models for accelerating the deployment of data science projects into enterprise architecture.
- Drive alignment between data science, engineering and operations teams
- Accelerate the move from experiments to production
- Enable the fast creation of new ML models
- Reduce costs through better resource efficiency
- Embed transparency and explainability by enabling auditing of model predictions
eBook: From tactical to transformational
“We approached Kainos with the idea of using AI to automatically extract the information we needed from KIIDs. Kainos’ AI team had fantastic experience with document analysis and NLP and they delivered the project perfectly!”
“As part of our ongoing strategic aims to become the world leading digital land register, the automated document comparison project has been a successful first step in our journey towards embracing artificial intelligence to improve our service and enhance how our employees work.”
See how we can help your business
Looking to digitally transform your business? Get in touch to see how we can help you.
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