Blog Archives

16 Sep 2024

Moving from Offline to Online Machine Learning with River

The foundations of machine learning were built on offline batch processing techniques for model training and inference. As organisations become more dependent on real-time data, the technological trend for machine learning in production is moving towards adding an online stream processing approach. This has benefits such as lower computational requirements due to being able to […]

13 Sep 2024

Enhancing AI with Real-Time Data: Unlocking Contextual Insights

The AIs are taking over! From chatbots to product reviews, these LLMs are revolutionizing our workflows and pushing the boundaries of what data can do for our businesses. But, there’s one hiccup: context. Sometimes, the answers they give can seem outdated, insensitive, or incomplete because they’re missing the latest data. But guess what? Real-time data […]

13 Sep 2024

Mastering Data-Centric Engineering: 12 Principles for Success

Data is everywhere, and so too are data-centric applications. As the world becomes increasingly data-centric, and the volumes of that data increase over time, data engineering will become more and more important. If we’re going to be dealing with petabytes of data it will be better to get the fundamentals in place before you start, […]

12 Sep 2024

Product Analytics at Meta, Personalising the Conversion Experience

At Meta, data and analytics underpins every single product development decision we make. Using the Facebook and Instagram Shops product as a case study, we will share more details on the key roles that Data Engineering and Data Science play in iterative product development. Technical Level: High-level/overview

12 Sep 2024

A Practical Intro to Data Science & the Law

An introduction to how and why the law matters when building solutions with data. We’ll look at sourcing data, working with models, deploying solutions in different contexts, and dealing with customers. Some of the topics covered will include IP, contracts, data protection, privacy, consumer protection, and AI regulation. Technical Level: High-level/overview

12 Sep 2024

AI ethics: sounds great, but what does it mean in practice?

AI ethics, AI bias, responsible AI – too hot to handle? As data evangelists we know these are key to our AI practices and areas we need to prioritise, but how do we go about addressing these huge topics of conversation? This session will start to unravel some of the complexities of AI ethics for […]

12 Sep 2024

Fail Fast, Learn Faster: Building an Experimentation Culture in Ocado Technology

Data and AI are a core tool in Ocado Technology’s toolkit, enabling Ocado’s mission to ‘change the way the world shops’. Data teams work across ecommerce, logistics & supply chain, fulfilment, advanced robotics and delivery. In an industry with picky shoppers and narrow margins, innovation is essential. But data teams can get bogged down in […]

10 Sep 2024

Smart Retailing: Optimisation Techniques for Strategic Success

Our DSF Oktoberfest Warm-Up Event with dunnhumby! By leveraging data analytics, machine learning, and advanced algorithms, retailers can streamline processes and make data-driven decisions. From inventory management to dynamic pricing, these techniques help retailers make smarter decisions, enhance customer experiences, and ultimately boost profitability. We’ll dive into the key methods and tools used in optimisation, […]

04 Sep 2024

High-Octane Streaming: Managing Connected Car Data Flows at Toyota Connected Europe

In the era of connected vehicles, the ability to handle vast amounts of near real-time data is critical for delivering seamless user experiences and innovative automotive services. This session will delve into the high-octane world of data streaming at Toyota Connected Europe, where cutting-edge technologies like Kafka, Flink, and MQTT are at the heart of […]