Lewis Prince
Senior AI Engineer at Purple Frog Systems
Telford, United Kingdom
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Senior AI Engineer and international speaker, Lewis Prince specializes in building scalable AI solutions and predictive models that deliver real-world impact. He is known for his ability to simplify complex AI concepts and inspire organizations to innovate with confidence.
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Model Creation in Azure AutoML and Ingestion Through Excel
Through this talk I will introduce the concept of Machine Learning and frame it in a simple manner to allow comprehension of the base concept. I will also talk about Machine Learning being in fact a branch of Artificial Intelligence and thus should not be thought of as one and the same but similar and distinct of each other. Following this I will then discuss AutoML as a concept paying particular attention to what we are automating (we will show this through talking holistically about the machine learning model lifecycle and highlight what is automated), why it is useful for both novices and experienced users alike (but for different reasons) and what problems can be solved via Azure based AutoML in particular (this will be accompanied with spoken examples to cement what is possible). The meat and bones of the talk will be 3 demos spread through the talk. The first will give a tour of the Azure Machine Learning Studio. The second will go through the process of creating an AutoML model through the Azure Machine Learning Studio from data ingestion to model deployment via a web service. I will also briefly go through a coded example in VS code (with Azure ML extension) showing how the same can be done in a faster and more efficient way if you have the necessary coding knowledge. Finally, the third demo will go through how to get predictions from the deployed model which I will demonstrate using a simple VBA in Excel based interface as excel is something that arguably everyone will be familiar with and so will be a great starting point.
AI Ethics in Practice: What Data Professionals Need to Know
As AI becomes more deeply integrated into the Microsoft Data Platform , Copilot to Azure Cognitive Services and Fabric’s AI capabilities ; ethical questions are no longer the domain of theorists. Data professionals now sit at the front lines of ethical AI implementation.
In this session, we’ll break down what AI ethics really means for your day-to-day work. We’ll explore the core principles: fairness, transparency, accountability, and privacy, and translate them into practical considerations when building AI-powered data solutions on Azure.
Key topics include:
-How bias can sneak into your data models
-Governance best practices for AI features in Fabric and Power BI
-What Microsoft’s Responsible AI Standard means for your projects
You'll leave with a clear, actionable framework for evaluating AI features ethically, ensuring your solutions are not only powerful but also trustworthy and compliant. Whether you're integrating AI for the first time or scaling existing models, this session will help you navigate the real-world responsibilities that come with working at the intersection of data and intelligence.
Talk the Same Language: Document Translation in Fabric
The modern business environment is more commonly multinational then not and companies often create vast amounts of documents which they they store in their fabric lakehouses. These documents, which may include reports, manuals, and communications, need to be accessible in multiple languages to cater to diverse audiences. This session will explore how to leverage the AI Language Studio Translation APIs to rapidly and accurately translate documents stored in your lakehouse. I will discuss the theory of this as well as discussing why you should do it before going through a live possible implementation for this through Fabric and the Azure Language Studio Translation APIs. The key takeaways for clients will be gaining an understanding of the AI language Studio (as well as other AI services offered adjacently) as well as seeing a practical implementation of how we can use Fabric to orchestrate AI solutions.
Introduction to AI; What, Why and How?
In this session we will break down the stigmas on AI, and that it's not just ChatGPT and self driving cars. We will talk about how AI solutions can help any business in any sector. There will be demos of natural language processing, chatbots and predictive models. The demos will utilise the three Microsoft services: Azure AI services, CoPilot Studio and Azure AutoML. We will also go into use cases for a few key sectors including Manufacturing, Retail, Leisure, Education and Security
Machine Learning in PowerBI
I will go through the machine learning and AI capabilities of PowerBi to show how we can further extract data, make data from data and most accurately infer for the future. I will delve into the pros and cons of using these tools through Power Bi and offer alternatives within the Microsoft Azure estate which specialize in certain tasks and also offer no to low code solutions.
Fast and Efficient Text Analysis using Azure's Language Cognitive Service
There is a lot of textual data available to us, from which there can be vast amounts of information and inferences we can extract. The problem is how can you do this, and more importantly how can this be done in a fast and efficient manner. One answer can be via using Azure's Cognitive Service offering 'Language Studio'. Language Studio is one of the Cognitive services available from Azure, it can do tasks for you via such as extracting key words from text, interpreting the sentiment of text, summarising documents and translating text on the fly. I will go into particular detail to explain how we can extract key words from text, Analyse the sentiment of text and mine opinions from text. I will show this on a dataset of customer reviews, from which I will then demo via python how we can submit these customer reviews to the Language Studio APIs to get inferences and more in-depth data back, which I will feed into Power BI to display a dashboard where the data can be broken down by ratings and location etc, to visualise the art of the possible in regard to what can be an end product of analysing text-based data such as reviews.
Empowering Conversations: Building Intelligent Chatbots in Copilot Studio
I will showcase the ease of creation of powerful chat bots which can answer questions and perform tasks for us. We will create two chatbots based on two different use cases, using websites and SharePoint directories as knowledge source and then how we can expose these in an instant to channels such as a Teams chat. Further to this, I will also show through these created chatbots how we can get them to send emails for us or add data to spreadsheets. The demos will be accompanied by theory on chatbot design, the wider Copilot services family as well as taking particular interest in applications and benefits in various use cases.
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SQLBits 2024 - General Sessions Sessionize Event
Data Relay 2023 Sessionize Event
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Microsoft Data Platform Group - Birmingham User group Sessionize Event
Lewis Prince
Senior AI Engineer at Purple Frog Systems
Telford, United Kingdom
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