Cloud Day
Let's talk about the cloud!
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Together with BOSCH we invite you to a full day of learning more about the intersection of mobility and code. Get to know more about how modern mobility is defined by an intricate interplay of hardware and software and how cars are not only connected to the road, but also to the cloud.
Coding the Future of Mobility features a variety of talks and a workshop, that give you valuable insights into the world of mobility - wether you join in-person or online.
Together with Bosch we invite you to a full day of learning more about the intersection of mobility and code. Get to know more about how modern mobility is defined by an intricate interplay of hardware and software and how cars are not only connected to the road, but also to the cloud.
Coding the Future of Mobility features a variety of talks and a workshop, that give you valuable insights into the world of mobility - wether you join in-person or online.
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The global market opportunity for machine learning applications is rapidly increasing ~40% year-over-year.
One of the main prerequisites for successful ML- and analytics projects is access to the right data.
Another important prerequisite is effective collaboration, not only between developers, but across the whole enterprise.
We explain how an Enterprise Insights Platform can be used by developers to quickly enhance a Stock Trading Application.
The platform enables developers to quick find and access the required data, to deploy integrated data (vs. data integration on application level) and helps to extend applications with machine learning capabilities.In the demo part of the session we show a hands-on demo of IBM Cloud Pak for Data. It is based on Kubernetes and many other Open Source projects. The platform offers a high degree of automation in areas like data quality analysis and enrichment, data integration, selection of machine learning algorithms and model deployment into production. We explain how developers can deploy various services like data virtualization, the data catalog, and the Auto AI experiment for simplified data access, data exploration and simplified ML model selection.
Andreas started as developer in the area of electronic banking, telecommunication and public transport before he joined IBM to help port SAP Business Warehouse to Db2. He later on moved into the IBM/SAP Center of Excellence and supported many large SAP customers to migrate to IBM Db2. He is currently working in IBM as a technical sales engineer with focus on databases and IBM Cloud Pak for Data.
If you run your software in the cloud, you might have already done some Serverless programming. Be it either as glue code that connects existing services or for your entire web API.
In developing Serverless, you soon realize that your application's performance -- and subsequently the money you pay for it -- depends a lot on your function's speed and the memory you use. Two factors the Rust programming language is really good at!
In this talk, we are going to look at how to run Serverless workloads in Rust in Azure Functions and AWS Lambda. In doing so, we will see the fundamental differences between both Serverless providers, and what effect this has on your applications!
Stefan Baumgartner is a software architect working at Dynatrace. He is the author of “TypeScript in 50 Lessons”, published by Smashing Magazine. He organizes ScriptConf, TSConf:EU, DevOne and Rust Linz, and co-hosts the German-language Working Draft podcast. Stefan enjoys Italian food, Belgian beer and British vinyl records.
Artificial Intelligence (AI) in communication with end users is now an integral part of digitized companies. Simple chatbots are often used to answer general questions. Cognitive Assistants that are based on IBM Watson Assistant, however, should be deeply integrated into business processes to deliver real added value and automate your Customer Care services. During the session, you will not only learn the basic principles of Watson Assistant, but also how to connect it with third-party databases and software, such as Jira Software or Hubspot CRM System through serverless Node.js Cloud Functions and thus integrate it into existing processes. You will be surprised how easy, intuitive and fast you can get started with Watson Assistant!
Felix Augenstein is a Data Scientist at IBM and part of the Hybrid Cloud Build Team in the DACH market. His focus is on technologies like IBM Watson, Data & AI, as well as Automation. On these topics he enables independent software vendors (ISVs), system integrators (SIs), business partners, and other stakeholders in the ecosystem. He also supports them in the project-based integration of these technologies into their own products. Additionally, Felix creates content and tutorials for the developer community, which are then distributed through digital channels.
As we get deeper into Kubernetes yaml files, we see a lot of duplication. Can we move to a higher level that eliminates this duplication? Let's look at Helm, a tool both for templating k8s yaml files and for installing complex infrastructure dependencies as one package. With Helm 3, we now have deeper integration and more security when working with Kubernetes. Join us on this path to a simpler, more repeatable, and more discoverable yaml experience.
Rob Richardson is a software craftsman building web properties in ASP.NET and Node, React and Vue. He’s a Microsoft MVP, published author, frequent speaker at conferences, user groups, and community events, and a diligent teacher and student of high quality software development. You can find this and other talks at https://robrich.org/presentations and follow him on twitter at @rob_rich.
Automotive industry strives to build automated driving capabilities both in and outside our production floors. Come learn how we leveraged a combination of autonomous driving features, LiDAR IoT sensors, AI and AWS enhanced our in-plant logistics without a driver. You’ll learn how we enabled this by leveraging open source AI technology such as Computer Vision as well as AWS services like: Amazon MSK, Amazon RDS, Amazon DynamoDB, Amazon Elasticsearch Service, and Amazon EKS to ensure connectivity to the car and plant respectively, through this effort we enabled an efficient manufacturing and logistics process remotely in addition to autonomously driving over 700 vehicles. Optimizing the logistics processes with utilized parking slots, avoiding delays from distribution points and reducing manual work are major benefits of the platform.
Oliver Zimmert leads organizations with his expertise to develop high scalable Cloud systems with a focus on data science and visualization. Customer needs will be realized through a cross-disciplinary approach in agile project management (Design Thinking, Scrum), scalable architectures (Hadoop, Spark), machine learning, and data visualization. He is publishing articles and talks about the state-of-the art discoveries in shaping large data sets as doctoral student at the Freiberg University of Mining and Technology on Visual Telling (www.visual-telling.com) and was winner of the Data Science Summit in Redwood, California.
