In the digital first economy it is surprising that many organisations still struggle with transforming data into useful insights that can be embedded back into the business to deliver value, whether that is by automating processes, predicting outcomes, or matching products to people or vice versa.
Currently around 10-20% of data produced is useful to organisations. Imagine if that could be 80-90%?
The problem is that there are enormous amounts of unstructured data being generated daily that, until recently, has not been machine readable. Unstructured data includes PDF’s, letters, images, contracts, forms, audio files, lease agreements, scans and x-rays, lab data etc. Not only this, but it is reliant on manual data processing by humans which is a heavy cost burden and highly inefficient.
Through advances in technology, the ability of Artificial Intelligence (AI) to connect the dots across multiple unstructured datasets in near real-time to discover meaningful patterns or behaviours which can then be used to enhance performance, improve efficiency, or steer innovation is driving the demand and adoption of AI globally.
But tackling untapped opportunities found in unstructured data, finding the usefulness in that data, making it machine readable, extracting the value from it and then integrating it into the business is complex. Many organisations find that once they have extracted the data, they don’t know what to do with it. This is where AI can really play a pivotal role in opening up a world of opportunities for organisations.
The huge drive for Digital Transformation globally means that organisations need to start looking at ALL data. Not just what they can see now. But all of it. That means Internal, external, structured, and unstructured data. By doing that, those businesses can then become truly data driven. They can make decisions based on that data and future predictions; they can calculate risks, they can automate, they can essentially bring a huge increase in efficiency to their businesses. The process is through data digitisation, and you need AI or specifically Natural Language Processing (NLP) to do that, especially for unstructured data.
There have been incredible step changes in Natural Language Processing and Computer Vision, thanks to the latest Universal Language Models, Transformers and of course Transfer Learning, which have solved a lot of those earlier challenges where lack of training data and compute power hindered the success of many early AI projects.
The possibilities of AI stretch across industries and can be used to help solve a wide range of human challenges but also help businesses improve their performance, efficiency, and productivity through better automation.
Everything starts with an impossible problem that a company wants to solve.
In Financial Services there is a lot of focus on finding ways to improve fraud detection, simplifying credit decisions, and reducing churn rates.
Many compliance and regulation departments also want to use AI to ensure industry announcements don’t impact an organisation's products and services, which may incur large fines.
In Asset Management, companies want to automate data loading of instruction manuals and procedures and predict points of failure in equipment.
In Pharma, AI is in demand to help companies work through their clinical trial phases to ensure patient data is machine readable to detect adverse reactions and other insights from the laboratories.
A lot of specialist AI and ML companies are good at digitising data but not so good at helping organisations make sense of it and onboard data insights into the business to unlock the value.
Deeper Insights use advanced API based platform technologies to digitise data and help companies to map out the value that the data can deliver to the business. It’s the first thing Deeper Insights do before digitising the data. You need to really go deeper and understand what the usefulness of the data is/could be before deciding how to move forward.
Our 4-week Accelerated AI Innovation programme allows companies to deep dive into their data, experiment with rapid prototyping and deliver value to the business quickly. All you need is an idea or AI concept, and we do the rest.
Using deep domain knowledge and highly experienced and skilled AI specialists, Deeper Insights help customers work through new approaches to previous attempts in bringing AI to their business. Wherever there’s a human process that uses offline or complex data, Deeper Insights can load, automate, and predict to create value back to the business.
From finance to healthcare, from market research to media monitoring, we can help your people make better decisions. We work alongside companies like yours to help deliver successful AI and ML projects - to make a real business value impact
The challenge: Deloitte’s partners and account managers found they were drowning in news from sales support teams, and unable to react quickly to market changes
The solution: Deeper Insights built a prototype Automated Insights app allowing them to have better conversations with clients and close more business
The outcome: Account managers at Deloitte close more business thanks to actionable insights delivered straight to their phones
Client said: "There are a number of gems we’ve found that are far better than the standard services we use" - Dimitar Milanov, Partner, Deloitte
The challenge: Help the sales and marketing teams know more about their customers to enable them to drive deeper customer engagement in sales meetings
The solution: Deeper Insights developed a CMS that scraped the web and automatically identified and summarised customer events relating to key accounts at JLL
The outcome: The automation of the whole previous manual process, and being able to identify 60% more news stories than the manual process, enabling JLL have better and more informed conversations with their clients
Client said: "We have lots of researchers and people who generate insights for our clients, Deeper Insights™ (formerly Skim Technologies) helped us improve the speed at which we get insights and have better conversations with our clients." - Chris Zissis, CIO, Jones Lang LaSalle
The challenge: In the UK, the total number of Total Knee Replacements(TKA's) per year has increased from 13,546 in 2003 to 98,147 in 2019 costing the NHS an estimated £585m per year. The average cost of a TKA in the UK is £12,000, however, post-surgical complications, e.g surgical site infection, increases this cost by between £1618 and £2398 per patient.
The solution: Our consortium, which is comprised of Smith&Nephew Ltd, Deeper Insights and Imperial College London, won Innovate-UK funding to carry out an ambitious and innovative project that is focussed on developing markerless and automated registration and tracking of the patient's limbs tailored for robotic-assisted orthopedic procedures using structured light technology assisted by deep learning to continuously capture the patient's anatomy during surgery.
This new platform will be integrated within S&N's commercially available robotic platform "NAVIO," which was previously supported by I-UK funding, and will obviate the need for percutaneous markers reducing set-up time, cost and complexity during surgery.
Discuss your AI project with us and lets see if we can help. We can dive into the data you have, the data we can gather from the web and other data sources, how we can manipulate that data for you and how we can output it in a dashboard that your business can actually use.
Our Data Science experts are recognised globally with over 500+ citations and patents
We have a combined experience of over 40 years in developing cutting edge, and innovative Artificial Intelligence from both academia and industry. We are specialists in Computational Linguistics, Natural Language Processing, Machine Learning, Deep Learning and Data Analytics
Dr Márcia Oliveira,
PhD Network Science
Dr Claudio Sa,
PhD Deep Learning
Dr Catarina Carvalho,
PhD Image Processing