The Data Science consultants to help you succeed

Deeper Insights use a world of data from webpages to internal documents, together with applied data science and custom dashboards that empower you to make bolder business decisions

Is your business ready for Data Science consulting?

We can help your business get prepared for delivering successful data science projects

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Learn the business AI basics

We suggest to start with increasing your understanding of the technology and areas such as Machine Learning and Natural Language Processing.

Without a basic knowledge is difficult to figure out what business objectives to pursue, what kind of technology you need and how it will work inside your organisation.

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Prioritise concrete value

Once you’ve gathered an initial knowledge of the technology, start thinking about how you can add AI capabilities to your existing products, services and processes.

More importantly, have in mind specific use cases in which AI could solve business problems or provide demonstrable value.

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Address internal capability gaps

If the discovery phase is quite creative and aspirational, at this point you’ll need to address internal capability gaps that could create an obstacle to the project.

There is a severe difference between what you would like to accomplish and what your internal capability is able to deliver within a given time frame.

Prepare your data

Data is the main element of any AI project. Before implementing these technologies into your business, you need to clean your data to avoid a “garbage in, garbage out” scenario.

Data is typically spread out in multiple data silos of different systems and may be in the hands of different teams with different priorities.

Prepare your employees

With the implementation of AI systems, your teams will be provided with additional insight and automation. They will have a tool to make AI a part of their daily routines rather than something that replaces it.

However, some employees may be preoccupied about how this technology can affect their jobs. Introducing the solution as a way to supplement their daily tasks is important.

AI is a marathon not a sprint

When committing to a project, you need to be aware that the AI system isn't going to perform magic on day one.

You need to consider that the human training of the system is a process. Teaching your AI system to be smart takes time.

6 things your business can expect from Data Science

Whether you're looking to create new data or analyse existing data, we're here to help. Our expertise across data extraction, AI model development, and analytics can be used to support your teams and your business to uncover a world of opportunities. You only need an idea, and we'll do the rest.

1. Feasibility studies and thorough scientific research

Our team of AI consultants hail from academic research backgrounds, and love nothing more than getting into the details of your data problems.

Drawing on our decades of experience developing AI solutions for enterprise, we can design a full project plan based on your project requirements and business goals.

2. First class AI systems and architectural designs

Our architecture design incorporates cloud or on-premise requirements, data protection laws, and speed of processing, all important considerations for any effective AI system.

We’ve spent many years refining our cloud based model training architecture that uses CPU or GPU resources to optimally train and retrain your models.

?ng AI solutions for enterprise, we can design a full project plan based on your project requirements and business goals.

3. High quality data pre-processing

We know how important good data is to the success of a project, and thats why we take necessary steps to ensure the highest quality of data cleaning, normalisation, deduplication, labelling and whatever else is required.

Additionally, our Skim Engine can handle a lot of the heavy lifting when it comes to text data, pdf or html

4. Accurate Annotations

Just as important as good data, is accurately labelled data. Therefore our unique cloud based annotation tools allow for the domain experts to help with the annotation and therefore input to the AI models.

The cloud annotator is accessible anywhere, easy to use and reduces the number of annotation tasks through Active Learning.

5. Model development

At this stage of a project, we’re working night and day (and our processors!) to train a model to the highest of standards that meet the acceptance criteria your project demands.

At this point we’ll be diving into the depths of deep learning, machine learning, natural language processing and all sorts of other AI techniques to give you a trustworthy AI system you can rely on.

6. Data visualisations and dashboards

Turning all of your data into something useful requires a clear design vision from the beginning of the project. Which is why we have dedicated design teams that can produce custom dashboards to present the insights you want, and take the actions you need.

We help companies like yours win with AI

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

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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

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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

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The challenge: How to turn billions of valuable data into actionable insights that a human can read and understand? Quant Insight had developed a complex algorithm used by financial analysts, but now wanted to reach a consumer client.

The solution: Using Microsoft’s LUIS intent engine and some custom NLP models Deeper Insights developed a chatbot that could query the QI API and translate the financial data into natural language.

The outcome: QI’s retail investors were able to easily access stock information via a friendly chatbot. The chatbot was able to achieve over 94% accuracy for selecting the correct stock and factors related to a question. An impressive outcome.

Client said: "Deeper Insights™ were a pleasure to work with, and extremely knowledgeable in the field of NLP. Their ability to take our idea and turn it into a working product made them the perfect partner for our fast-growing business."

Talk to us to see if we can help you

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 Scientists will help you deliver your AI project

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

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"I leverage my business, scientific and technical backgrounds to design and build high-impact AI solutions that turn data into something useful for our clients. My expertise lies in the fields of Network Science, NLP, Computer Vision, Imbalanced Learning and Unsupervised Learning."

Dr Márcia Oliveira, Lead Data Scientist

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"I use Design Thinking as my approach to deliver invaluable technology."

Ygor Durães, Full Stack Engineer

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"The development pipeline is my favorite technical and cultural tool. My mission is to help to achieve the balance between business and business materialization."

Eduardo Piairo, Operations Manager