Latest News > Transparity acquire Microsoft Data specialist DataShapa

AI: It's nothing new to us

In this digital age, where innovation reigns supreme, Transparity stands at the forefront as your trusted partner for AI consultancy services and the good news for you, we’ve been here a while.

At Transparity, we’re not just keeping up with the future, we’re helping you shape it. Introducing our cutting-edge Artificial Intelligence Consultancy Services – your gateway to transformative business solutions.

A crucial part of any machine learning project is the core data being used / analyzed. Since the building of machine learning models can be involved, it’s always advised to review the overall architecture of a system to ensure that delivery is swift and successful. This is where the AI readiness review comes in. At Transparity AI, one of the very first steps we take is to review everything we need to build a successful machine learning model, that way from the start we have a strong foundation meaning a swift return for you and your teams.

BMT have selected Transparity as their AI partner of choice to explore AI use cases that improve team efficiency and employee experience, and under this partnership are now actively exploring bespoke AI solutions built in the Microsoft Cloud alongside Microsoft’s Copilot offerings.

“We have worked with Transparity to ready our underlying data strategy; because great AI needs great data and we are excited to explore the use cases that generative and applied AI built to meet the very specific needs of our business.”

Simon Willmore – Head of Digital Strategy at BMT

Let's discover the possibilities together

AI Readiness

AI Readiness Assessments are the key to unlocking the transformative power of AI and ML for our customers. We delve deep into your organisation to uncover untapped opportunities, leveraging the latest trends and technologies. We continue to be inspired by the stories we hear and thrive on the opportunity to create operational efficiencies and learn together.

Azure Machine Learning

Azure Machine Learning is a cloud-based platform that empowers data scientists and developers to build, train, and deploy ML models at scale. It simplifies the end-to-end machine learning lifecycle, from data preparation to deployment, enabling organisations to harness the full potential of artificial intelligence for data-driven insights and decision-making.

Azure OpenAI

Azure OpenAI is a dynamic collaboration between Microsoft’s Azure cloud platform and OpenAI’s cutting-edge artificial intelligence technology. This partnership empowers businesses to harness the potential of AI at scale, driving innovation, enhancing customer experiences, and unlocking new insights for a brighter digital future.

Cognitive Search

Cognitive Search is a powerful information retrieval technology that combines AI, machine learning, and natural language processing to make data discovery and retrieval more intuitive and efficient. It enables organisations to extract valuable insights from their data repositories and deliver relevant information to users, enhancing decision-making and productivity.

Generative AI

Generative AI is a transformative technology that enables machines to create, mimic, or enhance content autonomously. Whether it’s generating realistic images, human-like text, or innovative designs, Generative AI is revolutionising industries, creativity, and problem-solving by pushing the boundaries of what’s possible in the digital realm.

Microsoft Copilot

Microsoft Copilot is a revolutionary AI-powered coding assistant integrated into Visual Studio and making it’s way into the entire toolset. It assists developers by offering context-aware code suggestions, auto-completions, and documentation, streamlining the coding process, and promoting best practices for more efficient and reliable software development.

Are you ready for the era of AI?

Transparity’s AI Consultancy Services are your gateway to realising the full potential of AI. Together, let’s revolutionise your business and shape a brighter tomorrow. As part of our AI projects, our experts start with a Readiness Assessment which is designed to empower you with a clear understanding of the needs, impacts and potential of AI as a practical solution to your organisation’s biggest challenges. Over the course of a few days we’ll take a comprehensive look at your data as well as the needs of the business; to establish whether you’re ready to take advantage of AI and machine learning, and how they can support your goals. Register your interest today.

Enquire today

Fill out our form and we’ll be in touch soon!

Your AI Readiness Journey

A Strong Foundation

AI technology is only as good as the data it’s trained on. We’ll review your data strategy and architecture to see if your data foundation is ready for the era of AI.

The Right Technology

Whether it’s Azure AI Services, OpenAI or ML Studio, as part of our assessment we’ll seek to understand your challenges so we can recommend the right solution for you.

Responsible AI

Any recommendations we make as a result of our assessment will be done with the pillars of responsible AI in mind, and a roadmap to embed them into your business.

AI: Use Cases for Business Leaders

While AI itself is nothing new, the ongoing rapid increase in data volumes and corresponding rise in computational power is changing the face of business operations forever. 

Strategy First & Strategy Led

As a part of the initial scoping sessions, a key part of the Transparity methodology is Discovery.

We carry out an AI / ML readiness assessment which comes in the form a number of workshops with key personnel in order to determine whether a data science project is feasible and what groundwork (if any) needs to be done before a project can begin. As a part of this readiness assessment there are a number of components which are looked at, some of which are:

• Data Availability
• Data Quality
• Data Transport Architecture
• Access to Tooling
• Reporting Maturity

Being a Microsoft partner, Transparity leverage all of the security, consistency and functionality of the Azure suite of tools.

This includes Azure DevOps for version control and project tracking, Azure AI insights (previously Azure Cognitive Services) for machine learning modules and code, Azure AD (soon to be Entra ID) for security around access to data and model development.

Machine Learning Contains Two Main Schools of Technology: Supervised and Unsupervised

Machine learning and Artificial Intelligence are centered around innovations which allow computer programs to be trained / exposed to data sets and for the program to either learn pre-determined patterns within the data set so they can be recognized in future data sets or can automatically detect patterns within unknown data sets. These are known as supervised and unsupervised learning, respectively.

  • Supervised: a section of data science which involves the detection of pre-determined patterns. Common examples of supervised learning are to predict values such as prices, to classify entries such as spam emails or identify visual patterns from videos such as Automatic Number plate recognition (ANPR) systems.
  • Unsupervised: a section of data science which involves allowing programs automatically detecting patterns within data, without human intervention. This is very powerful when the dataset being reviewed is not categorized, since it can provide clusters or relationships within data that the end user may not be aware of. Some examples would be detection of segmentation groups or finding anomalies within data.

As part of the Azure suite of tools, there are a number of options available when it comes to choosing the correct environments for building machine learning models.

  • No Code / Low Code Options: A modern approach to developing machine learning models which allows users to build models without the need to fully understand the mathematics or background of the models themselves. They provide user friendly interfaces which simplify the production of machine learning models. They have limitations but are good for small or very specific projects.
  • Full Code: are as they sound, a fully custom-built machine learning model built withing a variety of coding environments. Generally required when there is a large amount of customization needed. The downside to full code models is that by the nature of them being custom, they take much longer to build.

As a part of the project, training will be provided to ensure you understand the structure of the models, the layout of the environment and the location of support materials.

All of this will aid you in diagnostics and model support, and riven ownership of the solution delivered. As a part of this statement of work, a support package will be developed in agreement with Transparity to ensure that models are supported where needed. There are key components that should be understood (where possible) which will allow the business support team of the models to aid in diagnostics and determine any modifications needed.

This can be managed as part of a standard Support and Minor Mods agreement where you have one.

Data Science solutions delivered, as with most data science solutions, require maintenance, modifications, and issue resolution from time to time.

Transparity also like to be able provision time to help clients with small changes or answer queries on an ad-hoc basis, without the need to raise PO’s or book in work. We offer a combined approach to support and minor modifications.

A typical Transparity client would have 4-5 days per month (1-2 days for support and maintenance and 3-4 days for minor modifications).


Alister Jones

Head of Practice Data and AI

With over 20 years’ experience in tech, Alister takes the lead on our Data & AI practice. Alister has worked in the wonderful world of data, analytics and business intelligence throughout his career and has been part of the Microsoft Partner ecosystem for decades. With a passion for helping clients harness tech & data that makes an impact to organisations every day.

Why Transparity for AI?

Strategic Partnership

We don't just deliver solutions, we forge lasting partnerships. Our team becomes and extension of your organisation, working collaboratively to implement AI-driven strategies that drive real-world results.

Proven Expertise

With a deep bench of AI experts, data scientists, and engineers, we bring unparalleled technical knowledge to the table. We leverage the expertise to design and deploy AI solutions that make a meaningful impact on operations.

Cutting Edge Technology

Staying at the forefront of technological innovation is in our DNA. We adopt the latest AI technologies, from machine learning to natural language processing, to create solutions that are ahead of the curve.

Data Driven Insights

Data is the lifeblood of AI. We help you harness the power of your data to gain actionable insights, make informed decisions, and enhance customer and end user experiences.


Our solutions are built with scalability in mind. Whether you're a startup or an established global enterprise, we ensure our AI strategies and models can grow with you.

Real Results

At Transparity, we measure success by the tangible impact we bring to your bottom line. Expect improved efficiency, reduced cost, enhanced experiences and competitive edge.

Data & AI Customer Stories

With the introduction of the GDPR and general higher profile of good data security processes, Jewish Care wanted to implement a process to manage data breaches, ensuring that they are dealt with quickly and efficiently.

With a strong partnership forged, we have created and streamlined reporting capabilities for Versilia. More than three years after our original introduction, we’re still developing new and exciting projects.

Learn how DAA achieved a consistent baseline reporting capability and full analytics associated with these systems.

Skip to content