Program

Type: presentation, 45 min Language: en Tags: AI, ML, Research, Web Audience: Intermediate

Abstract:

Have you ever wanted to create your own AI-generated art? Well, now you can! In this talk, we'll show you how to build a Dall-E-like image generation app in the browser using the WebGPU API.

WebGPU is a new standard for graphics processing that is designed to run on the device itself. This means that you can create powerful and user-friendly AI applications that run right in your browser.

We'll start by giving you an overview of on-device generative AI. Then, we'll introduce the WebGPU API and show you how to use it to build your own image generation app. Finally, we'll discuss the challenges and opportunities of on-device generative AI.

So come along and learn how to create your own AI-generated art!

Speaker(s):

Rabimba Karanjai

Rabimba Karanjai is a full time graduate researcher, part time hacker and FOSS enthusiast. He worked with Mozilla Research Mixed Reality team on WebVR. He also is a Mozilla TechSpeaker and Google Developer Expert on Web Technologies (WebXR). And would love to chat with you on VR,AR,Security and openweb over a cup of coffee or bottle of beer.

Type: presentation, 45 min Language: en Tags: Cloud, Security Audience: Intermediate

Abstract:

The demand for speed and innovation is everywhere. However, that enthusiasm sometimes creates conflict when it butts up against security, resiliency and reliability concerns. In some cases, the dogged hunt to increase velocity can introduce new challenges and risks (e.g., skipped process gates, insufficient testing…). On the other hand, Formula 1 is one of the fastest and safest motorsports in the world, where the need for speed does not compromise safety of the drivers. In this talk, we are going to discuss different principles followed in Formula 1 and what lessons we can learn from and adopt in the way we design, architect, ship and secure our systems. We are going to cover: + Important of having a trusted and adversarial CI/CD pipeline + Security patterns: Least privileged principal, defence in depth, Zero trust + Resiliency patterns: Micro-segmentation, Anti-overload patterns + Monitoring and alerting.

Speaker(s):

Mohammed Aboullaite

Mohammed is a community catalyst, a true open source believer, and has contributed to various open-source projects. He currently works at Spotify as a Backend engineer

Type: presentation, 45 min Language: en Tags: AI, ML, Java, patterns, chatgpt, visrec Audience: All

Abstract:

Machine Learning Tools for Java Developers - VisRec, ChatGPT, etc.

"One of the most interesting aspects of the world is that it can be considered to be made up of patterns" - Norbert Wiener (1940s). We are entering a new and long-tail phase of software development with Machine Learning (ML). ML, a subset of AI, is the ability of a machine to produce accurate results for a particular problem without any explicit traditional programming. These predictive and generative results are derived from recognizing patterns in large data sets.

With the new generation of "generative AI/ML" tools such as ChatGPT, DALL-E, Bard/PaLM, Stable Diffusion, et al., this megatrend affects our applications, software tools, data structures, systems architecture, new hardware approaches, business processes, organizational interactions, enterprise strategies, government behavior, geopolitical strengths, ethics, data privacy, etc. In essence, ML is an inflection point for computing, enterprises, countries, humanity, and civilization.

But only a few of us will be data scientists. And not everyone needs to learn Python. There are ~10M Java developers on the planet. They need Java-friendly tools for this technology. So we'll look at JSR #381 (standard API for Visual Recognition for Java), dive into the ChatGPT API, and show some demos. And we'll also discuss what all this means for Java (and all developers) in the near future.

Speaker(s):

Frank Greco

Senior technology consultant, architect, software developer, musician, entrepreneur, educator, and conference organizer. Java Champion, Founder of the NYJavaSIG, co-author of JSR381 Visual Recognition for Java API, and strong advocate for Java and Machine Learning. Member of the NullPointers. #STEAMnotSTEM

Type: short talk, 30 min Language: en Tags: Data Science, Cloud, Event-driven Audience: Intermediate

Abstract:

AsyncAPI is an open-source specification for describing and documenting asynchronous APIs, similar to OpenAPI specification for documenting RESTful APIs. CloudEvents is a specification for event data in the cloud. Together, they enable developers to design, document, and test event-driven APIs and to easily share and consume event data across different cloud platforms and ecosystems.

In this session, we will explore the benefits of using AsyncAPI and CloudEvents in your tech stack, and how they can help you build asynchronous, event-driven applications that are well-documented and easy to maintain.

Speaker(s):

Mete Atamel

I’m a Software Engineer and a Developer Advocate with 18+ years of experience. Currently, I work in the Developer Relations team at Google in London. I build tools, demos, tutorials, and give talks to educate and help developers to be successful on Google Cloud.

As a regular speaker at tech conferences, I have spoken over 345+ events since 2016 on modern application development topics such as Kubernetes, Istio, Knative, serverless, event-driven architectures, and microservice orchestration.

Prior to my current role, I was a Software Engineer/Architect/Tech Lead at Nokia, EMC, Adobe, Skype, and Microsoft building various client and server technologies, resulting in multiple patents.

Type: short talk, 30 min Language: en Tags: Cloud, Documentaion, Technical Writing Audience: All

Abstract:

Gathering pieces of information for a task or a project is a wasteful act and could result in duplicated work done by different people.

Onboarding, your ability to maintain code or infrastructure and systems handover - Documentation plays a crucial part in all these processes.

So... how can we write technical docs in an easy way & why should we even do it?

In this talk, I'll show you a structured way to write technical docs, without being a technical writer - So you will deliver highly valuable information to your audience, to your best ability.

I'll explain why you should care about these docs, how do they serve your best interests (Yes, there's more than one!) and what impact it could make on employees or even on your entire organization.

Speaker(s):

Hila Fish

Hila Fish is a Senior DevOps Engineer, with 15 years of experience in the tech industry.

AWS Community Builder, Hashicorp Ambassador, and an International public speaker who believes the DevOps culture is what drives a company to perform at its best and talks about that and other DevOps/Infrastructure topics at conferences.

She carries the vision to enhance and drive business success by taking care of its infrastructure.

In her spare time, Hila is a lead singer of a cover band, giving back to the community by co-organizing DevOps-related conferences (Inc. "DevOpsDays TLV" & "StatsCraft" monitoring-focused event), providing mentorship and managing programs in “Baot” (The largest technical women's community in Israel), and enjoys sharing her passion and knowledge wherever she can, including across diverse technology communities, initiatives and social media.

Linkedin: https://www.linkedin.com/in/hila-fish
Twitter: https://twitter.com/Hilafish1

Type: presentation, 45 min Language: en Tags: Design Patterns Audience: All

Abstract:

As developers, we participate every day in our software life cycle adding new logic, adapting the existing one, and integrating with services or platforms.

But, do we put the same effort into making software robust, maintainable, consistent, secure, clear, and tested?

In this session, I will show the need for good practices in Clean Code along with the issues of not using it, showing concepts like Clean As You Code (CAYC) using free and open-source tools.

Clean Code goes beyond the produced software and its programming language. Is a fundamental part of a developer's role growth, something that represents us no matter the language and the company where we work. Do not lose the thread.

Speaker(s):

Jonathan Vila

Developer Advocate at Sonarsource, Java Champion, Organiser at BarcelonaJUG and cofounder of JBCNConf and DevBcn conferences in Barcelona.

Currently working as Developer Advocate in Java for Sonarsource (SonarLint,SonarQube), focused on Clean Code & Security. Former SE at Tetrate, SSE at Red Hat in Keycloak team, SSE at Ocado Technology, SSE at Netcentric.

I have worked as a (paid) developer since the first release of The Secret of Monkey Island, about 30 years ago using Go on Kubernetes for a Service Mesh layer on top of Istio | Java on Kubernetes for K8s Operator, Rest API, using Quarkus, GraalVM, Apache Camel | PHP | VB | Python | Pascal | C.

Very interested in simulated reality, psychology and Java.

Type: lightning talk, 10 min Language: en Tags: AI, Data Science Audience: Intermediate

Abstract:

I want to open the eyes of the audience to the concept of Knowledge Graphs. This is a relatively new but exciting area that is rapidly growing.

Gartner predicts by the year 2025 up to 80 % of organizations looking to integrate and automate data will depend on this technology.

In this talk I will explain what Knowledge Graphs is, how it is different from relational databases and its many use cases.

I personally have experience working in this area as a consultant for Capgemini Sweden.

Speaker(s):

Joakim Nilsson

I am a Mathematician turned Data Engineer working for Capgemini Sweden. I have been involved in projects building Knowledge Graphs and during 2022 I was working as a sub-contractor for Neo4j - a Swedish global vendor of Graph Data solutions.

Type: short talk, 30 min Language: en Tags: Cloud Audience: All

Abstract:

Event driven architectures are becoming more and more common in modern platforms. In this talk we will go through a few use cases and discuss what is the best way to trigger containerized batch workloads from events. Have you ever wondered what is the best way to approach it in a scalable and sustainable way? Come check out the talk and demos.

Speaker(s):

Ruben Blazquez Cob

Ruben is a Cloud Architect and the organizer of GDG Cloud Copenhagen. Currently working as CTO in Denmark and EMEA Infra & App modernization lead for Devoteam G Cloud.

Passionate about SRE, app modernization and community building.

Google Cloud Innovator Champion and x8 GCP certified. Has been working with Google Cloud technologies for the past 6 years.

Sometimes a speaker.

Type: presentation, 45 min Language: en Tags: Cloud, Security Audience: Beginner

Abstract:

Have you heard of SLSA, or SBOM or the new fuzzy word in the street "Software Supply Chain Security" before ? Maybe yes if you are avide reader of some tech publications out-there. But what does this all mean really? Or rather should you care? Well the answer is it depends. In this talk the speaker will attempt to clarify these words, what they mean and present a state of the security world with tools and methodologies people and organizations are implementing to ensure software is secured from dev to production.

Speaker(s):

Abdel Sghiouar

Abdel Sghiouar is a senior Cloud Developer Advocate @Google Cloud. A co-host of the Kubernetes Podcast by Google and a CNCF Ambassador. His focused areas are GKE/Kubernetes, Service Mesh and Serverless. Abdel started his career in datacenters and infrastructure in Morocco where he is originally. Before moving to Google's largest EU datacenter in Belgium. Then in Sweden he joined Google Cloud Professional Services and spent 5 years working with Google Cloud customers on architecting and designing large scale distributed systems before turning to advocacy and community work.

Type: short talk, 30 min Language: en Tags: AI, Innovation Audience: All

Abstract:

Digital innovation is essential for competitive advantage, but adopting new technologies alone is insufficient for success. To achieve valuable innovation, a process-people-technology approach is necessary. This session examines real-life examples of AI and blockchain in business, highlighting both successes and challenges. Participants will gain practical insights for effective implementation.

Speaker(s):

Eline Lubbers

Eline is a Digital Transformation Specialist with a Master's in New Media Design. She combines technology, design, and process innovation to develop innovative digital solutions. With a passion for creativity and innovation, Eline brings a unique perspective to her work, helping companies implement successful technological strategies. In her spare time, she enjoys reading and painting.

Type: presentation, 45 min Language: en Tags: AI, Data Science, ML, Research, Algorithms Audience: Intermediate

Abstract:

Genetic Algorithms are a family of search algorithms inspired by the principles of evolution in nature. By imitating the process of natural selection and reproduction, they can produce high quality solutions for various engineering problems while overcoming some of the hurdles encountered by traditional search algorithms.

In this presentation we will show how Genetic Algorithms can be applied to problems in the Machine Learning domain, such as feature selection, hyper-parameter optimization and reinforcement learning.

Speaker(s):

Eyal Wirsansky

Artificial Intelligence specialist and mentor, a senior software engineer, and a technology community leader.

Eyal started his software engineering career as a pioneer in the field of voice over IP, and is currently a member of the data platform team at Gradle, working on the ML-based predictive test selection.

Eyal leads the Jacksonville (FL) Java user group as well as the Enterprise AI user group, and writes the developer-oriented blog 'ai4java'. He is the author of the book 'Hands-On Genetic Algorithms with Python'.

Type: short talk, 30 min Language: en Tags: AI Audience: Intermediate

Abstract:

Cashier-free shops like Amazon Go, Morrison, Tesco, or Zappka improve customer experience and reduce running costs and business downtime to zero by automatizing checkout and providing 24/7 shopping time. Shopping is simplified to entering the store, taking what you want from shelves, and walking out. The checkout is done automatically based on cameras and AI-Powered algorithms, that track your every move and monitor what you took out with you. Those shops are already live, but with limited functionality or in the late stage of the experimental phase. In my presentation, I will discuss the currently used solutions and technology behind cashier-less stores. I will present a case study and algorithms overview used to track and charge customers. I will also discuss the challenges of cashier-less stores and how to handle them.

Speaker(s):

Kamil Rzechowski

I am a Senior Machine Learning Engineer at SoftwareMill specializing in visual computing and image processing. I have a double Master's degree in Computer Vision obtained at KTH University of Stockholm and the University of Trento. My main interests include ML/AI, especially Generative Adversarial Networks. I have hands-on experience in projects with object detection, object tracking, image classification, pose estimation, image caption generation, image from text generation, image segmentation, unsupervised learning, models explainability, and many others. In my free time, I enjoy playing the guitar and doing sports, especially windsurfing, swimming, and cycling.

Type: lightning talk, 10 min Language: en Tags: Data Science, knowledge graphs Audience: Beginner

Abstract:

Pee, poop and boobies, a tale of baby statistics (based on own experience)--as a knowledge graph, of course. Based on six months of carefully logged data about an infant's life.

Speaker(s):

Veronika Heimsbakk

I adore working with messy, unstructured and chaotic data, and turning them into a wonder of semantic knowledge graphs. Mother of two.

Type: short talk, 30 min Language: en Tags: AI, Cloud, ML Audience: All

Abstract:

With the emerging AI space, for enterprises, you need to know many terms and concepts before venturing into it. In this session, we will start with the foundational terms and experiences you must have to find the positives to leverage AI to win in business.

We will also demo some straightforward but valuable examples to help anchor your understanding. Our goal for this talk is for you to walk out of the room with the language (funny, eh?) and understand the typical workflow to start finding places to leverage AI in your enterprise. The first step on this journey is to know the ecosystem and tooling; from there, you can find things to fit your business and get you on the road to success.

Speaker(s):

JJ Asghar

JJ works as a Developer Advocate representing the IBM Cloud worldwide. He mainly focuses on the IBM Kubernetes Service and OpenShift, trying to make companies and users have a successful onboarding to the Cloud Native ecosystem. He's also been known in the DevOps tooling ecosystem and generalized Linux communities. If he isn't building automation to streamline his work, he's building the groundwork to do just that. He's been an avid homelab and self-hoster of open source software for years and gives back to that community as much as physically possible.

He lives and grew up in Austin, Texas. A father and husband, trying to learn to balance his natural nerdiness with family life. He enjoys a good strong dark ale, hoppy IPA, some team building Artemis, and epic Gloomhaven campaigning.

He has dove headfirst into Fedora since IBM buying Redhat, but still secretly wants FreeBSD everywhere. He's always trying to become a better web technology developer, though normally just uses bash to get the job done.

Type: short talk, 30 min Language: en Tags: AI, Data Science, ML Audience: All

Abstract:

We would like to present how we remove Superfluous (outdated) traffic signs from Tomtom Map. The presentation would describe the work done in this regard over the period of 3 quarters. We begin with a POC with a Heuristic model which improves with Humans in a loop. And use this to collect/generate training data. With the generated data we train a ML model which complements the Heuristic approach.

Speaker(s):

Zishan Ahmed Shaikh

I am a Senior Data Scientist working with Tomtom to solving traffic problems with Computer Vision and Geo-Spatial data.

Julia Flament-Wallin

Julia is an Engineering Manager leading a team of Data Scientists and Software Engineers putting signs on the map.

Type: short talk, 30 min Language: no Tags: Data Science, UX, Data Visualisation Audience: Intermediate

Abstract:

Data in its pure form can quickly become just a pile of numbers and facts that have no relation to each other. By visualizing them, patterns and connections can be brought out that give meaning and significance to the users.

So what is important to think about when visualizing data? Through projects at TV-aksionen and HK-dir/Utdanning.no, I will show examples of why use and context are important to focus on when designing good user experiences for data visualization.

Speaker(s):

Marthe Nikoline Elsrud

Marthe is a senior UX-designer with a lot of experience designing for the Norwegian public sector. She works as a consultant at Computas, where she loves to make user experiences that will benefit everyone.

Type: lightning talk, 10 min Language: en Tags: Cloud, Data Engineering Audience: Intermediate

Abstract:

dbt is currently the go-to tool for data transformation in cloud datawarehousing. But dbt still has problems, the combination of Jinja and SQL is messy, it promotes way too much full scanning of tables in production that drives warehouse costs, and it's kind of stupid, in reality it's a glorified Jinja parser.

Can SQLMesh save our transformations and give back order, unit tests and better handling of incremental loads and environments? I will dive into the technology behind SQLMesh, where it differs from dbt and why I think it's worth looking at for data transformation in the cloud.

Speaker(s):

Magnus Fagertun

With a long background in databases and data, Magnus went from Google in Oslo to the small island Husøy on Senja up far north to work with fish, aquaculture and data at Brødrene Karlsen. He's currently building up an analytics environment in the Cloud.

Type: presentation, 45 min Language: en Tags: AI, ML, Web Audience: Intermediate

Abstract:

We will learn how to make two smart webcam applications that recognises common objects and human emotions, using the most popular Web Machine Learning framework: TensorFlow.js.

Speaker(s):

Patty O'Callaghan

Patty is a Venezuelan living in Scotland. She has +20 years of experience in the industry and a background education in Computer Science and Artificial Intelligence. She is as a Tech Lead at Charles River Laboratories.

In her free time, Patty is a dedicated mentor and educator, leading a Code Club for 10-15 year-olds at her local school and being part of the Google Developers Group Glasgow and Google's Women Techmakers as an Ambassador. She is very passionate about AI and loves sharing her knowledge and expertise with others, frequently giving talks and technical workshops on various technologies and topics related to it.

Type: presentation, 45 min Language: en Tags: AI, ML, Research, Web Audience: Intermediate

Abstract:

Have you ever wanted to create your own AI-generated art? Well, now you can! In this talk, we'll show you how to build a Dall-E-like image generation app in the browser using the WebGPU API.

WebGPU is a new standard for graphics processing that is designed to run on the device itself. This means that you can create powerful and user-friendly AI applications that run right in your browser.

We'll start by giving you an overview of on-device generative AI. Then, we'll introduce the WebGPU API and show you how to use it to build your own image generation app. Finally, we'll discuss the challenges and opportunities of on-device generative AI.

So come along and learn how to create your own AI-generated art!

Speaker(s):

Rabimba Karanjai

Rabimba Karanjai is a full time graduate researcher, part time hacker and FOSS enthusiast. He worked with Mozilla Research Mixed Reality team on WebVR. He also is a Mozilla TechSpeaker and Google Developer Expert on Web Technologies (WebXR). And would love to chat with you on VR,AR,Security and openweb over a cup of coffee or bottle of beer.

Type: presentation, 45 min Language: en Tags: Cloud, Security Audience: Intermediate

Abstract:

The demand for speed and innovation is everywhere. However, that enthusiasm sometimes creates conflict when it butts up against security, resiliency and reliability concerns. In some cases, the dogged hunt to increase velocity can introduce new challenges and risks (e.g., skipped process gates, insufficient testing…). On the other hand, Formula 1 is one of the fastest and safest motorsports in the world, where the need for speed does not compromise safety of the drivers. In this talk, we are going to discuss different principles followed in Formula 1 and what lessons we can learn from and adopt in the way we design, architect, ship and secure our systems. We are going to cover: + Important of having a trusted and adversarial CI/CD pipeline + Security patterns: Least privileged principal, defence in depth, Zero trust + Resiliency patterns: Micro-segmentation, Anti-overload patterns + Monitoring and alerting.

Speaker(s):

Mohammed Aboullaite

Mohammed is a community catalyst, a true open source believer, and has contributed to various open-source projects. He currently works at Spotify as a Backend engineer

Type: presentation, 45 min Language: en Tags: AI, ML, Java, patterns, chatgpt, visrec Audience: All

Abstract:

Machine Learning Tools for Java Developers - VisRec, ChatGPT, etc.

"One of the most interesting aspects of the world is that it can be considered to be made up of patterns" - Norbert Wiener (1940s). We are entering a new and long-tail phase of software development with Machine Learning (ML). ML, a subset of AI, is the ability of a machine to produce accurate results for a particular problem without any explicit traditional programming. These predictive and generative results are derived from recognizing patterns in large data sets.

With the new generation of "generative AI/ML" tools such as ChatGPT, DALL-E, Bard/PaLM, Stable Diffusion, et al., this megatrend affects our applications, software tools, data structures, systems architecture, new hardware approaches, business processes, organizational interactions, enterprise strategies, government behavior, geopolitical strengths, ethics, data privacy, etc. In essence, ML is an inflection point for computing, enterprises, countries, humanity, and civilization.

But only a few of us will be data scientists. And not everyone needs to learn Python. There are ~10M Java developers on the planet. They need Java-friendly tools for this technology. So we'll look at JSR #381 (standard API for Visual Recognition for Java), dive into the ChatGPT API, and show some demos. And we'll also discuss what all this means for Java (and all developers) in the near future.

Speaker(s):

Frank Greco

Senior technology consultant, architect, software developer, musician, entrepreneur, educator, and conference organizer. Java Champion, Founder of the NYJavaSIG, co-author of JSR381 Visual Recognition for Java API, and strong advocate for Java and Machine Learning. Member of the NullPointers. #STEAMnotSTEM

Type: short talk, 30 min Language: en Tags: Data Science, Cloud, Event-driven Audience: Intermediate

Abstract:

AsyncAPI is an open-source specification for describing and documenting asynchronous APIs, similar to OpenAPI specification for documenting RESTful APIs. CloudEvents is a specification for event data in the cloud. Together, they enable developers to design, document, and test event-driven APIs and to easily share and consume event data across different cloud platforms and ecosystems.

In this session, we will explore the benefits of using AsyncAPI and CloudEvents in your tech stack, and how they can help you build asynchronous, event-driven applications that are well-documented and easy to maintain.

Speaker(s):

Mete Atamel

I’m a Software Engineer and a Developer Advocate with 18+ years of experience. Currently, I work in the Developer Relations team at Google in London. I build tools, demos, tutorials, and give talks to educate and help developers to be successful on Google Cloud.

As a regular speaker at tech conferences, I have spoken over 345+ events since 2016 on modern application development topics such as Kubernetes, Istio, Knative, serverless, event-driven architectures, and microservice orchestration.

Prior to my current role, I was a Software Engineer/Architect/Tech Lead at Nokia, EMC, Adobe, Skype, and Microsoft building various client and server technologies, resulting in multiple patents.

Type: short talk, 30 min Language: en Tags: Cloud, Documentaion, Technical Writing Audience: All

Abstract:

Gathering pieces of information for a task or a project is a wasteful act and could result in duplicated work done by different people.

Onboarding, your ability to maintain code or infrastructure and systems handover - Documentation plays a crucial part in all these processes.

So... how can we write technical docs in an easy way & why should we even do it?

In this talk, I'll show you a structured way to write technical docs, without being a technical writer - So you will deliver highly valuable information to your audience, to your best ability.

I'll explain why you should care about these docs, how do they serve your best interests (Yes, there's more than one!) and what impact it could make on employees or even on your entire organization.

Speaker(s):

Hila Fish

Hila Fish is a Senior DevOps Engineer, with 15 years of experience in the tech industry.

AWS Community Builder, Hashicorp Ambassador, and an International public speaker who believes the DevOps culture is what drives a company to perform at its best and talks about that and other DevOps/Infrastructure topics at conferences.

She carries the vision to enhance and drive business success by taking care of its infrastructure.

In her spare time, Hila is a lead singer of a cover band, giving back to the community by co-organizing DevOps-related conferences (Inc. "DevOpsDays TLV" & "StatsCraft" monitoring-focused event), providing mentorship and managing programs in “Baot” (The largest technical women's community in Israel), and enjoys sharing her passion and knowledge wherever she can, including across diverse technology communities, initiatives and social media.

Linkedin: https://www.linkedin.com/in/hila-fish
Twitter: https://twitter.com/Hilafish1

Type: presentation, 45 min Language: en Tags: Design Patterns Audience: All

Abstract:

As developers, we participate every day in our software life cycle adding new logic, adapting the existing one, and integrating with services or platforms.

But, do we put the same effort into making software robust, maintainable, consistent, secure, clear, and tested?

In this session, I will show the need for good practices in Clean Code along with the issues of not using it, showing concepts like Clean As You Code (CAYC) using free and open-source tools.

Clean Code goes beyond the produced software and its programming language. Is a fundamental part of a developer's role growth, something that represents us no matter the language and the company where we work. Do not lose the thread.

Speaker(s):

Jonathan Vila

Developer Advocate at Sonarsource, Java Champion, Organiser at BarcelonaJUG and cofounder of JBCNConf and DevBcn conferences in Barcelona.

Currently working as Developer Advocate in Java for Sonarsource (SonarLint,SonarQube), focused on Clean Code & Security. Former SE at Tetrate, SSE at Red Hat in Keycloak team, SSE at Ocado Technology, SSE at Netcentric.

I have worked as a (paid) developer since the first release of The Secret of Monkey Island, about 30 years ago using Go on Kubernetes for a Service Mesh layer on top of Istio | Java on Kubernetes for K8s Operator, Rest API, using Quarkus, GraalVM, Apache Camel | PHP | VB | Python | Pascal | C.

Very interested in simulated reality, psychology and Java.

Type: lightning talk, 10 min Language: en Tags: AI, Data Science Audience: Intermediate

Abstract:

I want to open the eyes of the audience to the concept of Knowledge Graphs. This is a relatively new but exciting area that is rapidly growing.

Gartner predicts by the year 2025 up to 80 % of organizations looking to integrate and automate data will depend on this technology.

In this talk I will explain what Knowledge Graphs is, how it is different from relational databases and its many use cases.

I personally have experience working in this area as a consultant for Capgemini Sweden.

Speaker(s):

Joakim Nilsson

I am a Mathematician turned Data Engineer working for Capgemini Sweden. I have been involved in projects building Knowledge Graphs and during 2022 I was working as a sub-contractor for Neo4j - a Swedish global vendor of Graph Data solutions.

Type: short talk, 30 min Language: en Tags: Cloud Audience: All

Abstract:

Event driven architectures are becoming more and more common in modern platforms. In this talk we will go through a few use cases and discuss what is the best way to trigger containerized batch workloads from events. Have you ever wondered what is the best way to approach it in a scalable and sustainable way? Come check out the talk and demos.

Speaker(s):

Ruben Blazquez Cob

Ruben is a Cloud Architect and the organizer of GDG Cloud Copenhagen. Currently working as CTO in Denmark and EMEA Infra & App modernization lead for Devoteam G Cloud.

Passionate about SRE, app modernization and community building.

Google Cloud Innovator Champion and x8 GCP certified. Has been working with Google Cloud technologies for the past 6 years.

Sometimes a speaker.

Type: presentation, 45 min Language: en Tags: Cloud, Security Audience: Beginner

Abstract:

Have you heard of SLSA, or SBOM or the new fuzzy word in the street "Software Supply Chain Security" before ? Maybe yes if you are avide reader of some tech publications out-there. But what does this all mean really? Or rather should you care? Well the answer is it depends. In this talk the speaker will attempt to clarify these words, what they mean and present a state of the security world with tools and methodologies people and organizations are implementing to ensure software is secured from dev to production.

Speaker(s):

Abdel Sghiouar

Abdel Sghiouar is a senior Cloud Developer Advocate @Google Cloud. A co-host of the Kubernetes Podcast by Google and a CNCF Ambassador. His focused areas are GKE/Kubernetes, Service Mesh and Serverless. Abdel started his career in datacenters and infrastructure in Morocco where he is originally. Before moving to Google's largest EU datacenter in Belgium. Then in Sweden he joined Google Cloud Professional Services and spent 5 years working with Google Cloud customers on architecting and designing large scale distributed systems before turning to advocacy and community work.

Type: short talk, 30 min Language: en Tags: AI, Innovation Audience: All

Abstract:

Digital innovation is essential for competitive advantage, but adopting new technologies alone is insufficient for success. To achieve valuable innovation, a process-people-technology approach is necessary. This session examines real-life examples of AI and blockchain in business, highlighting both successes and challenges. Participants will gain practical insights for effective implementation.

Speaker(s):

Eline Lubbers

Eline is a Digital Transformation Specialist with a Master's in New Media Design. She combines technology, design, and process innovation to develop innovative digital solutions. With a passion for creativity and innovation, Eline brings a unique perspective to her work, helping companies implement successful technological strategies. In her spare time, she enjoys reading and painting.

Type: presentation, 45 min Language: en Tags: AI, Data Science, ML, Research, Algorithms Audience: Intermediate

Abstract:

Genetic Algorithms are a family of search algorithms inspired by the principles of evolution in nature. By imitating the process of natural selection and reproduction, they can produce high quality solutions for various engineering problems while overcoming some of the hurdles encountered by traditional search algorithms.

In this presentation we will show how Genetic Algorithms can be applied to problems in the Machine Learning domain, such as feature selection, hyper-parameter optimization and reinforcement learning.

Speaker(s):

Eyal Wirsansky

Artificial Intelligence specialist and mentor, a senior software engineer, and a technology community leader.

Eyal started his software engineering career as a pioneer in the field of voice over IP, and is currently a member of the data platform team at Gradle, working on the ML-based predictive test selection.

Eyal leads the Jacksonville (FL) Java user group as well as the Enterprise AI user group, and writes the developer-oriented blog 'ai4java'. He is the author of the book 'Hands-On Genetic Algorithms with Python'.

Type: short talk, 30 min Language: en Tags: AI Audience: Intermediate

Abstract:

Cashier-free shops like Amazon Go, Morrison, Tesco, or Zappka improve customer experience and reduce running costs and business downtime to zero by automatizing checkout and providing 24/7 shopping time. Shopping is simplified to entering the store, taking what you want from shelves, and walking out. The checkout is done automatically based on cameras and AI-Powered algorithms, that track your every move and monitor what you took out with you. Those shops are already live, but with limited functionality or in the late stage of the experimental phase. In my presentation, I will discuss the currently used solutions and technology behind cashier-less stores. I will present a case study and algorithms overview used to track and charge customers. I will also discuss the challenges of cashier-less stores and how to handle them.

Speaker(s):

Kamil Rzechowski

I am a Senior Machine Learning Engineer at SoftwareMill specializing in visual computing and image processing. I have a double Master's degree in Computer Vision obtained at KTH University of Stockholm and the University of Trento. My main interests include ML/AI, especially Generative Adversarial Networks. I have hands-on experience in projects with object detection, object tracking, image classification, pose estimation, image caption generation, image from text generation, image segmentation, unsupervised learning, models explainability, and many others. In my free time, I enjoy playing the guitar and doing sports, especially windsurfing, swimming, and cycling.

Type: presentation, 45 min Language: en Tags: Cloud, Observebility Audience: Intermediate

Abstract:

In today's world of distributed systems, gaining visibility into the behavior of complex systems is becoming increasingly challenging. This is where observability comes in. With observability, we can gain insights into the behavior of our systems, detect anomalies, and troubleshoot issues quickly.

In this talk, we will introduce the concept of observability and explore how it relates to Kubernetes-based microservices. We will discuss the key pillars of observability, including distributed tracing, metrics, and logging, and how they can be used to gain insights into the behavior of our systems. We will also cover the importance of instrumenting our applications and services to enable observability.

Finally, we will explore some of the tools and techniques available for observability in Kubernetes-based microservices, including popular open-source projects like Prometheus, Grafana, and Jaeger. Whether you're a developer, operations engineer, or just interested in learning more about observability, this talk will provide you with a solid foundation for understanding this critical concept.

Speaker(s):

Israel Blancas Álvarez

Software Engineer at Red Hat. Distributed Tracing and observability in general. From the south of Spain!

Type: lightning talk, 10 min Language: en Tags: Data Science, knowledge graphs Audience: Beginner

Abstract:

Pee, poop and boobies, a tale of baby statistics (based on own experience)--as a knowledge graph, of course. Based on six months of carefully logged data about an infant's life.

Speaker(s):

Veronika Heimsbakk

I adore working with messy, unstructured and chaotic data, and turning them into a wonder of semantic knowledge graphs. Mother of two.

Type: short talk, 30 min Language: en Tags: AI, Cloud, ML Audience: All

Abstract:

With the emerging AI space, for enterprises, you need to know many terms and concepts before venturing into it. In this session, we will start with the foundational terms and experiences you must have to find the positives to leverage AI to win in business.

We will also demo some straightforward but valuable examples to help anchor your understanding. Our goal for this talk is for you to walk out of the room with the language (funny, eh?) and understand the typical workflow to start finding places to leverage AI in your enterprise. The first step on this journey is to know the ecosystem and tooling; from there, you can find things to fit your business and get you on the road to success.

Speaker(s):

JJ Asghar

JJ works as a Developer Advocate representing the IBM Cloud worldwide. He mainly focuses on the IBM Kubernetes Service and OpenShift, trying to make companies and users have a successful onboarding to the Cloud Native ecosystem. He's also been known in the DevOps tooling ecosystem and generalized Linux communities. If he isn't building automation to streamline his work, he's building the groundwork to do just that. He's been an avid homelab and self-hoster of open source software for years and gives back to that community as much as physically possible.

He lives and grew up in Austin, Texas. A father and husband, trying to learn to balance his natural nerdiness with family life. He enjoys a good strong dark ale, hoppy IPA, some team building Artemis, and epic Gloomhaven campaigning.

He has dove headfirst into Fedora since IBM buying Redhat, but still secretly wants FreeBSD everywhere. He's always trying to become a better web technology developer, though normally just uses bash to get the job done.

Type: short talk, 30 min Language: en Tags: AI, Data Science, ML Audience: All

Abstract:

We would like to present how we remove Superfluous (outdated) traffic signs from Tomtom Map. The presentation would describe the work done in this regard over the period of 3 quarters. We begin with a POC with a Heuristic model which improves with Humans in a loop. And use this to collect/generate training data. With the generated data we train a ML model which complements the Heuristic approach.

Speaker(s):

Zishan Ahmed Shaikh

I am a Senior Data Scientist working with Tomtom to solving traffic problems with Computer Vision and Geo-Spatial data.

Julia Flament-Wallin

Julia is an Engineering Manager leading a team of Data Scientists and Software Engineers putting signs on the map.

Type: short talk, 30 min Language: no Tags: Data Science, UX, Data Visualisation Audience: Intermediate

Abstract:

Data in its pure form can quickly become just a pile of numbers and facts that have no relation to each other. By visualizing them, patterns and connections can be brought out that give meaning and significance to the users.

So what is important to think about when visualizing data? Through projects at TV-aksionen and HK-dir/Utdanning.no, I will show examples of why use and context are important to focus on when designing good user experiences for data visualization.

Speaker(s):

Marthe Nikoline Elsrud

Marthe is a senior UX-designer with a lot of experience designing for the Norwegian public sector. She works as a consultant at Computas, where she loves to make user experiences that will benefit everyone.

Type: lightning talk, 10 min Language: en Tags: Cloud, Data Engineering Audience: Intermediate

Abstract:

dbt is currently the go-to tool for data transformation in cloud datawarehousing. But dbt still has problems, the combination of Jinja and SQL is messy, it promotes way too much full scanning of tables in production that drives warehouse costs, and it's kind of stupid, in reality it's a glorified Jinja parser.

Can SQLMesh save our transformations and give back order, unit tests and better handling of incremental loads and environments? I will dive into the technology behind SQLMesh, where it differs from dbt and why I think it's worth looking at for data transformation in the cloud.

Speaker(s):

Magnus Fagertun

With a long background in databases and data, Magnus went from Google in Oslo to the small island Husøy on Senja up far north to work with fish, aquaculture and data at Brødrene Karlsen. He's currently building up an analytics environment in the Cloud.

Type: presentation, 45 min Language: en Tags: AI, ML, Web Audience: Intermediate

Abstract:

We will learn how to make two smart webcam applications that recognises common objects and human emotions, using the most popular Web Machine Learning framework: TensorFlow.js.

Speaker(s):

Patty O'Callaghan

Patty is a Venezuelan living in Scotland. She has +20 years of experience in the industry and a background education in Computer Science and Artificial Intelligence. She is as a Tech Lead at Charles River Laboratories.

In her free time, Patty is a dedicated mentor and educator, leading a Code Club for 10-15 year-olds at her local school and being part of the Google Developers Group Glasgow and Google's Women Techmakers as an Ambassador. She is very passionate about AI and loves sharing her knowledge and expertise with others, frequently giving talks and technical workshops on various technologies and topics related to it.

Type: short talk, 30 min Language: en Tags: AI, Data Science, ML Audience: All

Abstract:

We would like to present how we remove Superfluous (outdated) traffic signs from Tomtom Map. The presentation would describe the work done in this regard over the period of 3 quarters. We begin with a POC with a Heuristic model which improves with Humans in a loop. And use this to collect/generate training data. With the generated data we train a ML model which complements the Heuristic approach.

Speaker(s):

Zishan Ahmed Shaikh

I am a Senior Data Scientist working with Tomtom to solving traffic problems with Computer Vision and Geo-Spatial data.

Julia Flament-Wallin

Julia is an Engineering Manager leading a team of Data Scientists and Software Engineers putting signs on the map.

Type: presentation, 45 min Language: en Tags: AI, ML, Java, patterns, chatgpt, visrec Audience: All

Abstract:

Machine Learning Tools for Java Developers - VisRec, ChatGPT, etc.

"One of the most interesting aspects of the world is that it can be considered to be made up of patterns" - Norbert Wiener (1940s). We are entering a new and long-tail phase of software development with Machine Learning (ML). ML, a subset of AI, is the ability of a machine to produce accurate results for a particular problem without any explicit traditional programming. These predictive and generative results are derived from recognizing patterns in large data sets.

With the new generation of "generative AI/ML" tools such as ChatGPT, DALL-E, Bard/PaLM, Stable Diffusion, et al., this megatrend affects our applications, software tools, data structures, systems architecture, new hardware approaches, business processes, organizational interactions, enterprise strategies, government behavior, geopolitical strengths, ethics, data privacy, etc. In essence, ML is an inflection point for computing, enterprises, countries, humanity, and civilization.

But only a few of us will be data scientists. And not everyone needs to learn Python. There are ~10M Java developers on the planet. They need Java-friendly tools for this technology. So we'll look at JSR #381 (standard API for Visual Recognition for Java), dive into the ChatGPT API, and show some demos. And we'll also discuss what all this means for Java (and all developers) in the near future.

Speaker(s):

Frank Greco

Senior technology consultant, architect, software developer, musician, entrepreneur, educator, and conference organizer. Java Champion, Founder of the NYJavaSIG, co-author of JSR381 Visual Recognition for Java API, and strong advocate for Java and Machine Learning. Member of the NullPointers. #STEAMnotSTEM

Type: presentation, 45 min Language: en Tags: Cloud, Observebility Audience: Intermediate

Abstract:

In today's world of distributed systems, gaining visibility into the behavior of complex systems is becoming increasingly challenging. This is where observability comes in. With observability, we can gain insights into the behavior of our systems, detect anomalies, and troubleshoot issues quickly.

In this talk, we will introduce the concept of observability and explore how it relates to Kubernetes-based microservices. We will discuss the key pillars of observability, including distributed tracing, metrics, and logging, and how they can be used to gain insights into the behavior of our systems. We will also cover the importance of instrumenting our applications and services to enable observability.

Finally, we will explore some of the tools and techniques available for observability in Kubernetes-based microservices, including popular open-source projects like Prometheus, Grafana, and Jaeger. Whether you're a developer, operations engineer, or just interested in learning more about observability, this talk will provide you with a solid foundation for understanding this critical concept.

Speaker(s):

Israel Blancas Álvarez

Software Engineer at Red Hat. Distributed Tracing and observability in general. From the south of Spain!

Type: short talk, 30 min Language: en Tags: AI, Cloud, ML Audience: All

Abstract:

With the emerging AI space, for enterprises, you need to know many terms and concepts before venturing into it. In this session, we will start with the foundational terms and experiences you must have to find the positives to leverage AI to win in business.

We will also demo some straightforward but valuable examples to help anchor your understanding. Our goal for this talk is for you to walk out of the room with the language (funny, eh?) and understand the typical workflow to start finding places to leverage AI in your enterprise. The first step on this journey is to know the ecosystem and tooling; from there, you can find things to fit your business and get you on the road to success.

Speaker(s):

JJ Asghar

JJ works as a Developer Advocate representing the IBM Cloud worldwide. He mainly focuses on the IBM Kubernetes Service and OpenShift, trying to make companies and users have a successful onboarding to the Cloud Native ecosystem. He's also been known in the DevOps tooling ecosystem and generalized Linux communities. If he isn't building automation to streamline his work, he's building the groundwork to do just that. He's been an avid homelab and self-hoster of open source software for years and gives back to that community as much as physically possible.

He lives and grew up in Austin, Texas. A father and husband, trying to learn to balance his natural nerdiness with family life. He enjoys a good strong dark ale, hoppy IPA, some team building Artemis, and epic Gloomhaven campaigning.

He has dove headfirst into Fedora since IBM buying Redhat, but still secretly wants FreeBSD everywhere. He's always trying to become a better web technology developer, though normally just uses bash to get the job done.

Type: short talk, 30 min Language: no Tags: Data Science, UX, Data Visualisation Audience: Intermediate

Abstract:

Data in its pure form can quickly become just a pile of numbers and facts that have no relation to each other. By visualizing them, patterns and connections can be brought out that give meaning and significance to the users.

So what is important to think about when visualizing data? Through projects at TV-aksionen and HK-dir/Utdanning.no, I will show examples of why use and context are important to focus on when designing good user experiences for data visualization.

Speaker(s):

Marthe Nikoline Elsrud

Marthe is a senior UX-designer with a lot of experience designing for the Norwegian public sector. She works as a consultant at Computas, where she loves to make user experiences that will benefit everyone.

Type: lightning talk, 10 min Language: en Tags: AI, Data Science Audience: Intermediate

Abstract:

I want to open the eyes of the audience to the concept of Knowledge Graphs. This is a relatively new but exciting area that is rapidly growing.

Gartner predicts by the year 2025 up to 80 % of organizations looking to integrate and automate data will depend on this technology.

In this talk I will explain what Knowledge Graphs is, how it is different from relational databases and its many use cases.

I personally have experience working in this area as a consultant for Capgemini Sweden.

Speaker(s):

Joakim Nilsson

I am a Mathematician turned Data Engineer working for Capgemini Sweden. I have been involved in projects building Knowledge Graphs and during 2022 I was working as a sub-contractor for Neo4j - a Swedish global vendor of Graph Data solutions.

Type: presentation, 45 min Language: en Tags: AI, ML, Research, Web Audience: Intermediate

Abstract:

Have you ever wanted to create your own AI-generated art? Well, now you can! In this talk, we'll show you how to build a Dall-E-like image generation app in the browser using the WebGPU API.

WebGPU is a new standard for graphics processing that is designed to run on the device itself. This means that you can create powerful and user-friendly AI applications that run right in your browser.

We'll start by giving you an overview of on-device generative AI. Then, we'll introduce the WebGPU API and show you how to use it to build your own image generation app. Finally, we'll discuss the challenges and opportunities of on-device generative AI.

So come along and learn how to create your own AI-generated art!

Speaker(s):

Rabimba Karanjai

Rabimba Karanjai is a full time graduate researcher, part time hacker and FOSS enthusiast. He worked with Mozilla Research Mixed Reality team on WebVR. He also is a Mozilla TechSpeaker and Google Developer Expert on Web Technologies (WebXR). And would love to chat with you on VR,AR,Security and openweb over a cup of coffee or bottle of beer.

Type: short talk, 30 min Language: en Tags: Data Science, Cloud, Event-driven Audience: Intermediate

Abstract:

AsyncAPI is an open-source specification for describing and documenting asynchronous APIs, similar to OpenAPI specification for documenting RESTful APIs. CloudEvents is a specification for event data in the cloud. Together, they enable developers to design, document, and test event-driven APIs and to easily share and consume event data across different cloud platforms and ecosystems.

In this session, we will explore the benefits of using AsyncAPI and CloudEvents in your tech stack, and how they can help you build asynchronous, event-driven applications that are well-documented and easy to maintain.

Speaker(s):

Mete Atamel

I’m a Software Engineer and a Developer Advocate with 18+ years of experience. Currently, I work in the Developer Relations team at Google in London. I build tools, demos, tutorials, and give talks to educate and help developers to be successful on Google Cloud.

As a regular speaker at tech conferences, I have spoken over 345+ events since 2016 on modern application development topics such as Kubernetes, Istio, Knative, serverless, event-driven architectures, and microservice orchestration.

Prior to my current role, I was a Software Engineer/Architect/Tech Lead at Nokia, EMC, Adobe, Skype, and Microsoft building various client and server technologies, resulting in multiple patents.

Type: presentation, 45 min Language: en Tags: Cloud, Security Audience: Beginner

Abstract:

Have you heard of SLSA, or SBOM or the new fuzzy word in the street "Software Supply Chain Security" before ? Maybe yes if you are avide reader of some tech publications out-there. But what does this all mean really? Or rather should you care? Well the answer is it depends. In this talk the speaker will attempt to clarify these words, what they mean and present a state of the security world with tools and methodologies people and organizations are implementing to ensure software is secured from dev to production.

Speaker(s):

Abdel Sghiouar

Abdel Sghiouar is a senior Cloud Developer Advocate @Google Cloud. A co-host of the Kubernetes Podcast by Google and a CNCF Ambassador. His focused areas are GKE/Kubernetes, Service Mesh and Serverless. Abdel started his career in datacenters and infrastructure in Morocco where he is originally. Before moving to Google's largest EU datacenter in Belgium. Then in Sweden he joined Google Cloud Professional Services and spent 5 years working with Google Cloud customers on architecting and designing large scale distributed systems before turning to advocacy and community work.

Type: short talk, 30 min Language: en Tags: Cloud Audience: All

Abstract:

Event driven architectures are becoming more and more common in modern platforms. In this talk we will go through a few use cases and discuss what is the best way to trigger containerized batch workloads from events. Have you ever wondered what is the best way to approach it in a scalable and sustainable way? Come check out the talk and demos.

Speaker(s):

Ruben Blazquez Cob

Ruben is a Cloud Architect and the organizer of GDG Cloud Copenhagen. Currently working as CTO in Denmark and EMEA Infra & App modernization lead for Devoteam G Cloud.

Passionate about SRE, app modernization and community building.

Google Cloud Innovator Champion and x8 GCP certified. Has been working with Google Cloud technologies for the past 6 years.

Sometimes a speaker.

Type: presentation, 45 min Language: en Tags: Design Patterns Audience: All

Abstract:

As developers, we participate every day in our software life cycle adding new logic, adapting the existing one, and integrating with services or platforms.

But, do we put the same effort into making software robust, maintainable, consistent, secure, clear, and tested?

In this session, I will show the need for good practices in Clean Code along with the issues of not using it, showing concepts like Clean As You Code (CAYC) using free and open-source tools.

Clean Code goes beyond the produced software and its programming language. Is a fundamental part of a developer's role growth, something that represents us no matter the language and the company where we work. Do not lose the thread.

Speaker(s):

Jonathan Vila

Developer Advocate at Sonarsource, Java Champion, Organiser at BarcelonaJUG and cofounder of JBCNConf and DevBcn conferences in Barcelona.

Currently working as Developer Advocate in Java for Sonarsource (SonarLint,SonarQube), focused on Clean Code & Security. Former SE at Tetrate, SSE at Red Hat in Keycloak team, SSE at Ocado Technology, SSE at Netcentric.

I have worked as a (paid) developer since the first release of The Secret of Monkey Island, about 30 years ago using Go on Kubernetes for a Service Mesh layer on top of Istio | Java on Kubernetes for K8s Operator, Rest API, using Quarkus, GraalVM, Apache Camel | PHP | VB | Python | Pascal | C.

Very interested in simulated reality, psychology and Java.

Type: short talk, 30 min Language: en Tags: AI Audience: Intermediate

Abstract:

Cashier-free shops like Amazon Go, Morrison, Tesco, or Zappka improve customer experience and reduce running costs and business downtime to zero by automatizing checkout and providing 24/7 shopping time. Shopping is simplified to entering the store, taking what you want from shelves, and walking out. The checkout is done automatically based on cameras and AI-Powered algorithms, that track your every move and monitor what you took out with you. Those shops are already live, but with limited functionality or in the late stage of the experimental phase. In my presentation, I will discuss the currently used solutions and technology behind cashier-less stores. I will present a case study and algorithms overview used to track and charge customers. I will also discuss the challenges of cashier-less stores and how to handle them.

Speaker(s):

Kamil Rzechowski

I am a Senior Machine Learning Engineer at SoftwareMill specializing in visual computing and image processing. I have a double Master's degree in Computer Vision obtained at KTH University of Stockholm and the University of Trento. My main interests include ML/AI, especially Generative Adversarial Networks. I have hands-on experience in projects with object detection, object tracking, image classification, pose estimation, image caption generation, image from text generation, image segmentation, unsupervised learning, models explainability, and many others. In my free time, I enjoy playing the guitar and doing sports, especially windsurfing, swimming, and cycling.

Type: presentation, 45 min Language: en Tags: AI, ML, Web Audience: Intermediate

Abstract:

We will learn how to make two smart webcam applications that recognises common objects and human emotions, using the most popular Web Machine Learning framework: TensorFlow.js.

Speaker(s):

Patty O'Callaghan

Patty is a Venezuelan living in Scotland. She has +20 years of experience in the industry and a background education in Computer Science and Artificial Intelligence. She is as a Tech Lead at Charles River Laboratories.

In her free time, Patty is a dedicated mentor and educator, leading a Code Club for 10-15 year-olds at her local school and being part of the Google Developers Group Glasgow and Google's Women Techmakers as an Ambassador. She is very passionate about AI and loves sharing her knowledge and expertise with others, frequently giving talks and technical workshops on various technologies and topics related to it.

Type: presentation, 45 min Language: en Tags: AI, Data Science, ML, Research, Algorithms Audience: Intermediate

Abstract:

Genetic Algorithms are a family of search algorithms inspired by the principles of evolution in nature. By imitating the process of natural selection and reproduction, they can produce high quality solutions for various engineering problems while overcoming some of the hurdles encountered by traditional search algorithms.

In this presentation we will show how Genetic Algorithms can be applied to problems in the Machine Learning domain, such as feature selection, hyper-parameter optimization and reinforcement learning.

Speaker(s):

Eyal Wirsansky

Artificial Intelligence specialist and mentor, a senior software engineer, and a technology community leader.

Eyal started his software engineering career as a pioneer in the field of voice over IP, and is currently a member of the data platform team at Gradle, working on the ML-based predictive test selection.

Eyal leads the Jacksonville (FL) Java user group as well as the Enterprise AI user group, and writes the developer-oriented blog 'ai4java'. He is the author of the book 'Hands-On Genetic Algorithms with Python'.

Type: short talk, 30 min Language: en Tags: Cloud, Documentaion, Technical Writing Audience: All

Abstract:

Gathering pieces of information for a task or a project is a wasteful act and could result in duplicated work done by different people.

Onboarding, your ability to maintain code or infrastructure and systems handover - Documentation plays a crucial part in all these processes.

So... how can we write technical docs in an easy way & why should we even do it?

In this talk, I'll show you a structured way to write technical docs, without being a technical writer - So you will deliver highly valuable information to your audience, to your best ability.

I'll explain why you should care about these docs, how do they serve your best interests (Yes, there's more than one!) and what impact it could make on employees or even on your entire organization.

Speaker(s):

Hila Fish

Hila Fish is a Senior DevOps Engineer, with 15 years of experience in the tech industry.

AWS Community Builder, Hashicorp Ambassador, and an International public speaker who believes the DevOps culture is what drives a company to perform at its best and talks about that and other DevOps/Infrastructure topics at conferences.

She carries the vision to enhance and drive business success by taking care of its infrastructure.

In her spare time, Hila is a lead singer of a cover band, giving back to the community by co-organizing DevOps-related conferences (Inc. "DevOpsDays TLV" & "StatsCraft" monitoring-focused event), providing mentorship and managing programs in “Baot” (The largest technical women's community in Israel), and enjoys sharing her passion and knowledge wherever she can, including across diverse technology communities, initiatives and social media.

Linkedin: https://www.linkedin.com/in/hila-fish
Twitter: https://twitter.com/Hilafish1

Type: presentation, 45 min Language: en Tags: Cloud, Security Audience: Intermediate

Abstract:

The demand for speed and innovation is everywhere. However, that enthusiasm sometimes creates conflict when it butts up against security, resiliency and reliability concerns. In some cases, the dogged hunt to increase velocity can introduce new challenges and risks (e.g., skipped process gates, insufficient testing…). On the other hand, Formula 1 is one of the fastest and safest motorsports in the world, where the need for speed does not compromise safety of the drivers. In this talk, we are going to discuss different principles followed in Formula 1 and what lessons we can learn from and adopt in the way we design, architect, ship and secure our systems. We are going to cover: + Important of having a trusted and adversarial CI/CD pipeline + Security patterns: Least privileged principal, defence in depth, Zero trust + Resiliency patterns: Micro-segmentation, Anti-overload patterns + Monitoring and alerting.

Speaker(s):

Mohammed Aboullaite

Mohammed is a community catalyst, a true open source believer, and has contributed to various open-source projects. He currently works at Spotify as a Backend engineer

Type: lightning talk, 10 min Language: en Tags: Cloud, Data Engineering Audience: Intermediate

Abstract:

dbt is currently the go-to tool for data transformation in cloud datawarehousing. But dbt still has problems, the combination of Jinja and SQL is messy, it promotes way too much full scanning of tables in production that drives warehouse costs, and it's kind of stupid, in reality it's a glorified Jinja parser.

Can SQLMesh save our transformations and give back order, unit tests and better handling of incremental loads and environments? I will dive into the technology behind SQLMesh, where it differs from dbt and why I think it's worth looking at for data transformation in the cloud.

Speaker(s):

Magnus Fagertun

With a long background in databases and data, Magnus went from Google in Oslo to the small island Husøy on Senja up far north to work with fish, aquaculture and data at Brødrene Karlsen. He's currently building up an analytics environment in the Cloud.

Type: short talk, 30 min Language: en Tags: AI, Innovation Audience: All

Abstract:

Digital innovation is essential for competitive advantage, but adopting new technologies alone is insufficient for success. To achieve valuable innovation, a process-people-technology approach is necessary. This session examines real-life examples of AI and blockchain in business, highlighting both successes and challenges. Participants will gain practical insights for effective implementation.

Speaker(s):

Eline Lubbers

Eline is a Digital Transformation Specialist with a Master's in New Media Design. She combines technology, design, and process innovation to develop innovative digital solutions. With a passion for creativity and innovation, Eline brings a unique perspective to her work, helping companies implement successful technological strategies. In her spare time, she enjoys reading and painting.

Type: lightning talk, 10 min Language: en Tags: Data Science, knowledge graphs Audience: Beginner

Abstract:

Pee, poop and boobies, a tale of baby statistics (based on own experience)--as a knowledge graph, of course. Based on six months of carefully logged data about an infant's life.

Speaker(s):

Veronika Heimsbakk

I adore working with messy, unstructured and chaotic data, and turning them into a wonder of semantic knowledge graphs. Mother of two.