TEQnation 202430 Videos

TEQnation 2024: Understanding CSS Layout – Kilian Valkhof

Understanding CSS Layout: the concepts underlying your (least) favorite language Have you ever felt perplexed by CSS, struggling to understand why the browser put the element where it did, and why it didn’t just follow the clear instructions you wrote? Do you think CSS is hard to work with? By getting a better understanding of […]

TEQnation

July 3, 2024

41

TEQnation 2024: Revolutionizing Wildlife Monitoring with Drones and IoT – Dennis Drost

Sky Guardians: Revolutionizing Wildlife Monitoring with Drones and IoT – Dennis Drost Ever wondered how a simple idea can evolve into an extensive network of IoT sensors, tracking wildlife across thousands of hectares? Traditional wildlife monitoring, involving manual counts and measurements, is time-consuming and often inaccurate. By leveraging sensor technology, we can automate tracking, localization, […]

TEQnation

July 24, 2024

53

TEQnation 2024: It’s not rocket science! Or is it? – Jasper Siegmund

Do you know that “come on, it’s hardly rocket science!?”-feeling? As a software developer, up to now I’ve spent my entire career building things that literally weren’t rocket science. I do have a passion for rockets and all things space. In this talk I combine two of my biggest interests in one talk. We’ll dive […]

TEQnation

July 3, 2024

16

TEQnation 2024: Using AI to save time and sanity – Rens van de Schoot

In today’s academic world, the number of scientific papers on any topic is growing. While this wealth of textual data is a treasure trove for data scientists, it simultaneously presents significant challenges for anyone who wants to screen this literature systematically. Whether for medical guidelines, review papers, or for evidence-based policy recommendations, one needs to […]

TEQnation

July 3, 2024

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TEQnation 2024: Official Opening TEQnation – Ramon Wieleman

TEQnation

July 24, 2024

10

TEQnation 2024: Lightning talks

Karol Muciek & Ali Habib – Empowering Sustainability: How Essent’s Innovative Approach and Habit Building Cuts Cloud Waste Understanding that Essent’s journey towards becoming fully cloud-native is ongoing, we acknowledge our current reliance on traditional infrastructures, such as EC2 and RDS instances. To bridge this gap, Essent has engineered a serverless solution that empowers developers […]

TEQnation

July 3, 2024

23

TEQnation 2024: Using RAG and ReACT to augment your LLM-based applications – Wietse Venema

Large Language Models (LLMs) have some limitations – such as being unable to answer questions about data the model wasn’t trained on or hallucinating fake or misleading information. RAG is the concept of retrieving some data to augment your prompt to the LLM, allowing it to generate more accurate responses and reduce hallucinations. ReACT (Reason […]

TEQnation

July 3, 2024

13

TEQnation 2024: Automind: Enterprise-Grade AI Assistants Done Right – Erik Meijer

  Introducing Automind: Enterprise-Grade AI Assistants Done Right While creating autonomous AI agents may seem straightforward, deploying them in enterprise environments raises significant challenges around security, reliability, scalability, usability, and integration. Simply combining off-the-shelf ingredients like language models and retrieval tools is akin to a home cook attempting a Michelin-starred meal – disastrous results are […]

TEQnation

July 24, 2024

48

TEQnation 2024: How an outage sparked a full rethink of Essent’s cloud architecture – Nicollas Braga

Essent’s services, such as our website and mobile apps, were disrupted for over a week due to a sudden and persistent increase in customer-generated traffic, triggered by the war in Ukraine and escalating concerns over energy prices. Upon recovering our services, we analyzed our resilience strategies and realized that increasing team ownership and autonomy was […]

TEQnation

July 3, 2024

9

TEQnation 2024: From R&D to machine learning products – Jelmer Borst

In the keynote “From R&D to ML Products,” we explore Picnic’s journey in scaling machine learning within our organization, from initial research and development to deploying full-scale ML products. This talk delves into the challenges faced, the tech stack that enabled our growth, and key learnings acquired along the way. Emphasizing the transition from experimental […]

TEQnation

July 3, 2024

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