The document discusses Deutsche Bahn, one of the largest transportation companies in Europe. It carries over 4.7 million passengers per day and generated €11 billion in revenue in 2004. It discusses its various business segments, including long-distance transport, regional transport, urban transit, and sales. The document then discusses Deutsche Bahn's implementation of Confluence as an enterprise standard for knowledge management, highlighting benefits like improved transparency, knowledge reuse, and availability for customers.
From AT&T Bootstrap Week: This session focuses on architecture and design concepts to ensure scalability and maximize reliability for server-based applications running in the cloud environment. The session will discuss techniques to consider for achieving scalability and reliability and tradeoffs to consider such as time vs. cost based on the needs for different types of applications.
Descrizione delle caratteristiche, dei modelli di business, delle problematiche, della storia del Cloud Computing e come questa tecnologia potrà cambiare nel futuro il modo di fare business per le imprese
Applying BigQuery ML on e-commerce data analyticsMárton Kodok
With BigQuery ML, you can build machine learning models without leaving the database environment and training it on massive datasets. We are going to demonstrate common marketing Machine Learning use cases we do at REEA.net to build, train, eval and predict, your own scalable machine learning models using SQL language in Google BigQuery and to address the following use cases:
Customer Segmentation
Customer Lifetime Value (LTV) prediction
Conversion/Purchase prediction
The audience will get first hand experience how to write CREATE MODEL sql syntax to build machine learning models such as:
Multiclass logistic regression for classification
K-means clustering
Import TensorFlow models for prediction in BigQuery
Models are trained and accessed in BigQuery using SQL — a language data analysts know. This enables business decision making through predictive analytics across the organization without leaving the query editor
Batch computing is a common way to run a series of programs, called batch jobs, on a large pool of shared compute resources, such as servers, virtual machines, and containers. But running batch workloads at scale is a challenging task, configuring and scaling a cluster of virtual machines to process complex batch jobs is difficult and resource intensive. In this session, we’ll discuss options and best practices for running batch jobs on AWS including AWS Batch, a fully managed batch-processing service, and building batch processing architectures with the Amazon EC2 Container Service. We’ll also discuss best practices for ensuring efficient and opportunistic scheduling, fine-grained monitoring, compute resource auto-scaling, and security for batch jobs.
From AT&T Bootstrap Week: This session focuses on architecture and design concepts to ensure scalability and maximize reliability for server-based applications running in the cloud environment. The session will discuss techniques to consider for achieving scalability and reliability and tradeoffs to consider such as time vs. cost based on the needs for different types of applications.
Descrizione delle caratteristiche, dei modelli di business, delle problematiche, della storia del Cloud Computing e come questa tecnologia potrà cambiare nel futuro il modo di fare business per le imprese
Applying BigQuery ML on e-commerce data analyticsMárton Kodok
With BigQuery ML, you can build machine learning models without leaving the database environment and training it on massive datasets. We are going to demonstrate common marketing Machine Learning use cases we do at REEA.net to build, train, eval and predict, your own scalable machine learning models using SQL language in Google BigQuery and to address the following use cases:
Customer Segmentation
Customer Lifetime Value (LTV) prediction
Conversion/Purchase prediction
The audience will get first hand experience how to write CREATE MODEL sql syntax to build machine learning models such as:
Multiclass logistic regression for classification
K-means clustering
Import TensorFlow models for prediction in BigQuery
Models are trained and accessed in BigQuery using SQL — a language data analysts know. This enables business decision making through predictive analytics across the organization without leaving the query editor
Batch computing is a common way to run a series of programs, called batch jobs, on a large pool of shared compute resources, such as servers, virtual machines, and containers. But running batch workloads at scale is a challenging task, configuring and scaling a cluster of virtual machines to process complex batch jobs is difficult and resource intensive. In this session, we’ll discuss options and best practices for running batch jobs on AWS including AWS Batch, a fully managed batch-processing service, and building batch processing architectures with the Amazon EC2 Container Service. We’ll also discuss best practices for ensuring efficient and opportunistic scheduling, fine-grained monitoring, compute resource auto-scaling, and security for batch jobs.
Apache Kafka vs. Integration Middleware (MQ, ETL, ESB)Kai Wähner
Learn the differences between an event-driven streaming platform and middleware like MQ, ETL and ESBs – including best practices and anti-patterns, but also how these concepts and tools complement each other in an enterprise architecture.
Extract-Transform-Load (ETL) is still a widely-used pattern to move data between different systems via batch processing. Due to its challenges in today’s world where real time is the new standard, an Enterprise Service Bus (ESB) is used in many enterprises as integration backbone between any kind of microservice, legacy application or cloud service to move data via SOAP / REST Web Services or other technologies. Stream Processing is often added as its own component in the enterprise architecture for correlation of different events to implement contextual rules and stateful analytics. Using all these components introduces challenges and complexities in development and operations.
This session discusses how teams in different industries solve these challenges by building a native streaming platform from the ground up instead of using ETL and ESB tools in their architecture. This allows to build and deploy independent, mission-critical streaming real time application and microservices. The architecture leverages distributed processing and fault-tolerance with fast failover, no-downtime rolling deployments and the ability to reprocess events, so you can recalculate output when your code changes. Integration and Stream Processing are still key functionality but can be realized in real time natively instead of using additional ETL, ESB or Stream Processing tools.
Building and deploying LLM applications with Apache AirflowKaxil Naik
Behind the growing interest in Generate AI and LLM-based enterprise applications lies an expanded set of requirements for data integrations and ML orchestration. Enterprises want to use proprietary data to power LLM-based applications that create new business value, but they face challenges in moving beyond experimentation. The pipelines that power these models need to run reliably at scale, bringing together data from many sources and reacting continuously to changing conditions.
This talk focuses on the design patterns for using Apache Airflow to support LLM applications created using private enterprise data. We’ll go through a real-world example of what this looks like, as well as a proposal to improve Airflow and to add additional Airflow Providers to make it easier to interact with LLMs such as the ones from OpenAI (such as GPT4) and the ones on HuggingFace, while working with both structured and unstructured data.
In short, this shows how these Airflow patterns enable reliable, traceable, and scalable LLM applications within the enterprise.
https://airflowsummit.org/sessions/2023/keynote-llm/
Bridge to Cloud: Using Apache Kafka to Migrate to AWSconfluent
Watch this talk here: https://www.confluent.io/online-talks/bridge-to-cloud-apache-kafka-migrate-aws
Speakers: Priya Shivakumar, Director of Product, Confluent + Konstantine Karantasis, Software Engineer, Confluent + Rohit Pujari, Partner Solutions Architect, AWS
Most companies start their cloud journey with a new use case, or a new application. Sometimes these applications can run independently in the cloud, but often times they need data from the on premises datacenter. Existing applications will slowly migrate, but will need a strategy and the technology to enable a multi-year migration.
In this session, we will share how companies around the world are using Confluent Cloud, a fully managed Apache Kafka service, to migrate to AWS. By implementing a central-pipeline architecture using Apache Kafka to sync on-prem and cloud deployments, companies can accelerate migration times and reduce costs.
In this online talk we will cover:
•How to take the first step in migrating to AWS
•How to reliably sync your on premises applications using a persistent bridge to cloud
•Learn how Confluent Cloud can make this daunting task simple, reliable and performant
•See a demo of the hybrid-cloud and multi-region deployment of Apache Kafka
Today’s organisations require a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. Data Lake is a new and increasingly popular way to store all of your data, structured and unstructured, in one, centralised repository. Since data can be stored as-is, there is no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand.
In this webinar, you will discover how AWS gives you fast access to flexible and low-cost IT resources, so you can rapidly scale and build your data lake that can power any kind of analytics such as data warehousing, clickstream analytics, fraud detection, recommendation engines, event-driven ETL, serverless computing, and internet-of-things processing regardless of volume, velocity and variety of data.
Learning Objectives:
• Discover how you can rapidly scale and build your data lake with AWS.
• Explore the key pillars behind a successful data lake implementation.
• Learn how to use the Amazon Simple Storage Service (S3) as the basis for your data lake.
• Learn about the new AWS services recently launched, Amazon Athena and Amazon Redshift Spectrum, that help customers directly query that data lake.
Kappa vs Lambda Architectures and Technology ComparisonKai Wähner
Real-time data beats slow data. That’s true for almost every use case. Nevertheless, enterprise architects build new infrastructures with the Lambda architecture that includes separate batch and real-time layers.
This video explores why a single real-time pipeline, called Kappa architecture, is the better fit for many enterprise architectures. Real-world examples from companies such as Disney, Shopify, Uber, and Twitter explore the benefits of Kappa but also show how batch processing fits into this discussion positively without the need for a Lambda architecture.
The main focus of the discussion is on Apache Kafka (and its ecosystem) as the de facto standard for event streaming to process data in motion (the key concept of Kappa), but the video also compares various technologies and vendors such as Confluent, Cloudera, IBM Red Hat, Apache Flink, Apache Pulsar, AWS Kinesis, Amazon MSK, Azure Event Hubs, Google Pub Sub, and more.
Video recording of this presentation:
https://youtu.be/j7D29eyysDw
Further reading:
https://www.kai-waehner.de/blog/2021/09/23/real-time-kappa-architecture-mainstream-replacing-batch-lambda/
https://www.kai-waehner.de/blog/2021/04/20/comparison-open-source-apache-kafka-vs-confluent-cloudera-red-hat-amazon-msk-cloud/
https://www.kai-waehner.de/blog/2021/05/09/kafka-api-de-facto-standard-event-streaming-like-amazon-s3-object-storage/
Slides from DevNexus in Atlanta GA showing Cognitive Services. Minus demos unfortunately! Best place to check all this out is https://www.microsoft.com/cognitive-services/
Microsoft Fabric is the next version of Azure Data Factory, Azure Data Explorer, Azure Synapse Analytics, and Power BI. It brings all of these capabilities together into a single unified analytics platform that goes from the data lake to the business user in a SaaS-like environment. Therefore, the vision of Fabric is to be a one-stop shop for all the analytical needs for every enterprise and one platform for everyone from a citizen developer to a data engineer. Fabric will cover the complete spectrum of services including data movement, data lake, data engineering, data integration and data science, observational analytics, and business intelligence. With Fabric, there is no need to stitch together different services from multiple vendors. Instead, the customer enjoys end-to-end, highly integrated, single offering that is easy to understand, onboard, create and operate.
This is a hugely important new product from Microsoft and I will simplify your understanding of it via a presentation and demo.
Agenda:
What is Microsoft Fabric?
Workspaces and capacities
OneLake
Lakehouse
Data Warehouse
ADF
Power BI / DirectLake
Resources
Man gewinnt den Eindruck, Microservices seien die Universallösung für all unsere (Architektur-)Probleme. Dabei sind Microservices lediglich Mittel zum Zweck. Was also, wenn meine Probleme nicht zur Lösung „Microservices“ passen? Ist es nach wir vor legitim, einen Monolithen zu bauen? Oder gibt es andere Architekturansätze, mit denen sich Monolithen aufbrechen lassen? In der Session werfen wir einen kritischen Blick auf Microservices und beleuchten – immer ausgehend von bestehenden Problemfeldern – eine Reihe alternativer Architekturen.
Generative AI in Transportation for Connected Future Transport System July 20...Sudha Jamthe
Sudha Jamthe keynote about Generative AI in smart mobility in the future of transportation
Follow Sudha Jamthe at sudhajamthe.com or learn more about Generative AI at generativeaibook.org
In this talk, we go over the history and future of Apache Flink adoption at Shopify. We'll talk about how and why we went from choosing Apache Flink as the replacement for our existing streaming technologies in 2021, to a year later with a flourishing streaming community. Today, we have tens of prototypes and several large use-cases running production. Along the way, we'll overview the Flink ecosystem at Shopify, the tools and libraries Shopify built, the decision to fork Flink, how we drove adoption of streaming at the company, and what's next for the platform.
Apache Kafka vs. Integration Middleware (MQ, ETL, ESB)Kai Wähner
Learn the differences between an event-driven streaming platform and middleware like MQ, ETL and ESBs – including best practices and anti-patterns, but also how these concepts and tools complement each other in an enterprise architecture.
Extract-Transform-Load (ETL) is still a widely-used pattern to move data between different systems via batch processing. Due to its challenges in today’s world where real time is the new standard, an Enterprise Service Bus (ESB) is used in many enterprises as integration backbone between any kind of microservice, legacy application or cloud service to move data via SOAP / REST Web Services or other technologies. Stream Processing is often added as its own component in the enterprise architecture for correlation of different events to implement contextual rules and stateful analytics. Using all these components introduces challenges and complexities in development and operations.
This session discusses how teams in different industries solve these challenges by building a native streaming platform from the ground up instead of using ETL and ESB tools in their architecture. This allows to build and deploy independent, mission-critical streaming real time application and microservices. The architecture leverages distributed processing and fault-tolerance with fast failover, no-downtime rolling deployments and the ability to reprocess events, so you can recalculate output when your code changes. Integration and Stream Processing are still key functionality but can be realized in real time natively instead of using additional ETL, ESB or Stream Processing tools.
Building and deploying LLM applications with Apache AirflowKaxil Naik
Behind the growing interest in Generate AI and LLM-based enterprise applications lies an expanded set of requirements for data integrations and ML orchestration. Enterprises want to use proprietary data to power LLM-based applications that create new business value, but they face challenges in moving beyond experimentation. The pipelines that power these models need to run reliably at scale, bringing together data from many sources and reacting continuously to changing conditions.
This talk focuses on the design patterns for using Apache Airflow to support LLM applications created using private enterprise data. We’ll go through a real-world example of what this looks like, as well as a proposal to improve Airflow and to add additional Airflow Providers to make it easier to interact with LLMs such as the ones from OpenAI (such as GPT4) and the ones on HuggingFace, while working with both structured and unstructured data.
In short, this shows how these Airflow patterns enable reliable, traceable, and scalable LLM applications within the enterprise.
https://airflowsummit.org/sessions/2023/keynote-llm/
Bridge to Cloud: Using Apache Kafka to Migrate to AWSconfluent
Watch this talk here: https://www.confluent.io/online-talks/bridge-to-cloud-apache-kafka-migrate-aws
Speakers: Priya Shivakumar, Director of Product, Confluent + Konstantine Karantasis, Software Engineer, Confluent + Rohit Pujari, Partner Solutions Architect, AWS
Most companies start their cloud journey with a new use case, or a new application. Sometimes these applications can run independently in the cloud, but often times they need data from the on premises datacenter. Existing applications will slowly migrate, but will need a strategy and the technology to enable a multi-year migration.
In this session, we will share how companies around the world are using Confluent Cloud, a fully managed Apache Kafka service, to migrate to AWS. By implementing a central-pipeline architecture using Apache Kafka to sync on-prem and cloud deployments, companies can accelerate migration times and reduce costs.
In this online talk we will cover:
•How to take the first step in migrating to AWS
•How to reliably sync your on premises applications using a persistent bridge to cloud
•Learn how Confluent Cloud can make this daunting task simple, reliable and performant
•See a demo of the hybrid-cloud and multi-region deployment of Apache Kafka
Today’s organisations require a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. Data Lake is a new and increasingly popular way to store all of your data, structured and unstructured, in one, centralised repository. Since data can be stored as-is, there is no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand.
In this webinar, you will discover how AWS gives you fast access to flexible and low-cost IT resources, so you can rapidly scale and build your data lake that can power any kind of analytics such as data warehousing, clickstream analytics, fraud detection, recommendation engines, event-driven ETL, serverless computing, and internet-of-things processing regardless of volume, velocity and variety of data.
Learning Objectives:
• Discover how you can rapidly scale and build your data lake with AWS.
• Explore the key pillars behind a successful data lake implementation.
• Learn how to use the Amazon Simple Storage Service (S3) as the basis for your data lake.
• Learn about the new AWS services recently launched, Amazon Athena and Amazon Redshift Spectrum, that help customers directly query that data lake.
Kappa vs Lambda Architectures and Technology ComparisonKai Wähner
Real-time data beats slow data. That’s true for almost every use case. Nevertheless, enterprise architects build new infrastructures with the Lambda architecture that includes separate batch and real-time layers.
This video explores why a single real-time pipeline, called Kappa architecture, is the better fit for many enterprise architectures. Real-world examples from companies such as Disney, Shopify, Uber, and Twitter explore the benefits of Kappa but also show how batch processing fits into this discussion positively without the need for a Lambda architecture.
The main focus of the discussion is on Apache Kafka (and its ecosystem) as the de facto standard for event streaming to process data in motion (the key concept of Kappa), but the video also compares various technologies and vendors such as Confluent, Cloudera, IBM Red Hat, Apache Flink, Apache Pulsar, AWS Kinesis, Amazon MSK, Azure Event Hubs, Google Pub Sub, and more.
Video recording of this presentation:
https://youtu.be/j7D29eyysDw
Further reading:
https://www.kai-waehner.de/blog/2021/09/23/real-time-kappa-architecture-mainstream-replacing-batch-lambda/
https://www.kai-waehner.de/blog/2021/04/20/comparison-open-source-apache-kafka-vs-confluent-cloudera-red-hat-amazon-msk-cloud/
https://www.kai-waehner.de/blog/2021/05/09/kafka-api-de-facto-standard-event-streaming-like-amazon-s3-object-storage/
Slides from DevNexus in Atlanta GA showing Cognitive Services. Minus demos unfortunately! Best place to check all this out is https://www.microsoft.com/cognitive-services/
Microsoft Fabric is the next version of Azure Data Factory, Azure Data Explorer, Azure Synapse Analytics, and Power BI. It brings all of these capabilities together into a single unified analytics platform that goes from the data lake to the business user in a SaaS-like environment. Therefore, the vision of Fabric is to be a one-stop shop for all the analytical needs for every enterprise and one platform for everyone from a citizen developer to a data engineer. Fabric will cover the complete spectrum of services including data movement, data lake, data engineering, data integration and data science, observational analytics, and business intelligence. With Fabric, there is no need to stitch together different services from multiple vendors. Instead, the customer enjoys end-to-end, highly integrated, single offering that is easy to understand, onboard, create and operate.
This is a hugely important new product from Microsoft and I will simplify your understanding of it via a presentation and demo.
Agenda:
What is Microsoft Fabric?
Workspaces and capacities
OneLake
Lakehouse
Data Warehouse
ADF
Power BI / DirectLake
Resources
Man gewinnt den Eindruck, Microservices seien die Universallösung für all unsere (Architektur-)Probleme. Dabei sind Microservices lediglich Mittel zum Zweck. Was also, wenn meine Probleme nicht zur Lösung „Microservices“ passen? Ist es nach wir vor legitim, einen Monolithen zu bauen? Oder gibt es andere Architekturansätze, mit denen sich Monolithen aufbrechen lassen? In der Session werfen wir einen kritischen Blick auf Microservices und beleuchten – immer ausgehend von bestehenden Problemfeldern – eine Reihe alternativer Architekturen.
Generative AI in Transportation for Connected Future Transport System July 20...Sudha Jamthe
Sudha Jamthe keynote about Generative AI in smart mobility in the future of transportation
Follow Sudha Jamthe at sudhajamthe.com or learn more about Generative AI at generativeaibook.org
In this talk, we go over the history and future of Apache Flink adoption at Shopify. We'll talk about how and why we went from choosing Apache Flink as the replacement for our existing streaming technologies in 2021, to a year later with a flourishing streaming community. Today, we have tens of prototypes and several large use-cases running production. Along the way, we'll overview the Flink ecosystem at Shopify, the tools and libraries Shopify built, the decision to fork Flink, how we drove adoption of streaming at the company, and what's next for the platform.
Overview of Confluence and its features and how it is useful for enterprises. Updated with new social features in Confluence 3.0 and SharePoint Integration
Double the Collaboration Value of Confluence - Ben MackieAtlassian
Do you want to learn how to double the value of Confluence in your organization and become a collaboration superhero? Get an overview of how Confluence can be extended through add-ons, integrations and APIs, enabled by the Confluence platform and Atlassian Connect.
Tailoring Confluence for Team ProductivityAtlassian
Are your teams used to Confluence out-of-the-box and want to take their productivity to the next level? Are you ready to extend Confluence to support the way your teams want to work? In this presentation we will reveal 3 content tailoring strategies that will free your teams' time. Included will be walkthroughs of extending Confluence with scripts, blueprints, macros and more of the latest Confluence Platform capabilities. Whether you are an eager wiki champion with scripting knowledge, an in-house software developer or an ecosystem developer, this session will get you started on creating awesome tailored solutions for your teams.
Confluence Adoption: Techniques for Growing Your WikiAtlassian
Whether you're starting small, or aiming big, it helps to have a good set of ideas to aid adoption. This session discusses some of the best tools in the wiki adoption toolbox - from where to start, to how best to grow.
Atlassian Speaker: Bill Arconati
Customer Speaker: Michael Mielke of Deutsche Bahn
Key Takeaways:
* Success patterns for wiki adoption
* Roles and activities to aid a successful deployment
* What to try, what to avoid
How to Encourage Non-Development Teams to Use JIRA and ConfluenceAtlassian
As a developer you use Confluence and JIRA because they improve your proficiency in processes, knowledge transfer, training peers, and situational awareness in projects. But what about the non-technical people outside your team? Kick-start your whole company's adoption of JIRA and Confluence with some tips from James Hilving of Masergy Communications. He'll talk about add-ons, page templates, simple workflows, and terminology that'll bridge the gap and get everyone on the same page. (A Confluence page, that is!)
What does it mean when we talk about innovation? We often talk about the end result of innovation as a breakthrough product or a new service. But how do we get there? Moreover, how do we create a culture that consistently and predictably delivers innovative solutions to every facet of our work? Join me to hear about some of the strategies that GoPro uses to build a habit of innovation.
A pitch deck template with sample copy to help technology startups sell their business concept to angel investors and VCs. Inspired by pitch deck words of wisdom from Dave McClure (500 Startups), AirBnb, Guy Kawasaki and Venture Hacks (the folks behind AngelList).
YOU MIGHT ALSO LIKE THESE PITCH DECK EXAMPLES & TEMPLATES:
> Airbnb pitch deck @ https://pitchdeckcoach.com/airbnb-pitch-deck
> Sequoia Capital pitch deck template @ https://pitchdeckcoach.com/sequoia-capital-pitch-deck
> FREE pitch deck template download @ https://pitchdeckcoach.com/free-pitch-deck-template
> Pitch deck guide with hints, tips, and a worked example @ https://pitchdeckcoach.com/pitch-deck-template
NEED HELP WITH YOUR PITCH DECK?
See how I can help then book a free call @ https://pitchdeckcoach.com/
MORE PITCH DECK RESOURCES @ https://pitchdeckcoach.com/pitch-deck-template#resources
Building a homepage is not about coding, it's about letting your customer’s business meet their customers’ needs (okay it's also about coding).
This includes defining the purpose, meeting the users, going from needs to function, doing the framing and the design of the UX, and finally how to set up the Umbraco backend to support the needed data output in a way that is easy to use for the editors.
We have had a lot of inquires about the document we circulated during fundraising, so we thought the easiest thing might be to post a somewhat sanitized version as a Finance Tool along with some explanation. This type of Finance Tool will not apply to all companies, but for those looking to raise early stage capital, hopefully it will be a great contribution to the body of knowledge already out there.
Read more at:
http://profitabl.es/finance/resources/tools/sample-fundraising-deck/
Presentation on conversion rate optimization methodology for TCD 2010 (April 28th), the Netherlands. Presented by Bart Schutz and Ton Wesseling of Online Dialogue.
Slides from a webinar Milan Guenther gave October 2021.
A Service Designer's journey to delivering breakthrough experiences through impact on the enterprise
Severin is an ambitious and experienced designer. And when Intersection Railways called for a major overhaul of a part of their product and service portfolio, they set out for making an impact. Severin brought together all the stakeholders, they set an ambitious goal to significantly shift the customer’s experience, and with their team they researched, prototyped and mapped out a better future journey.
But then it fell apart. That reorganisation messed up the responsibilities. Many customer insights turned out to be just assumptions. The IT change was too hard, the regulations were too constraining. And their stakeholders were not that convinced after all. What just happened?
Design at scale is hard. In this session, Milan will show how Severin reengages his co-creators to tackle the true scope of the change required, including organisation, operations, and ecosystem partners. Using a set of recurring patterns and a set of maps, they open the conversation to the target Enterprise Design: what we can do, where to go next, and what to change to get there. And ultimately, how to deliver on their ambitious vision for a better service.
You will learn:
- How to reveal the links: map out how your enterprise pursues its purpose, the capabilities it relies on to deliver, and the experience outcomes it enables for customers and others
- Have the right conversations: how to create clarity when developing product strategy, business transformation or investment options, collaboratively and visually
- How to draw your enterprise on a napkin: learn how to establish a business geography to facilitate joint wayfinding between stakeholders
Every Consumer is a Business user is a ConsumerMichael Kogeler
Presentation on “Every consumer is a business user is a consumer”. Audience was a large group of CIO’s of large Belgian companies and my mission was to convince them of the fact that Consumers (and especially the Gen-Y people entering their companies) will drive their IT infrastructure innovation over the next years. And also make them realize they play a key role in the success or failure of their company the next years to come.
Presentation of the course Industrial Design Engineering or [open] Innovator at The Hague University of Applied Sciences. This is the presentation shown on
Experience visions are an effective tool for defining the future direction of your site, getting stakeholder buy-in and keeping all team members on the same page. (Fred Randell's presentation from UX Australia 2009.)
El passat 20 d'octubre Alfons Cornella, president i fundador d'Infonomia, va realitzar una conferència sobre innovació en l'acció social a la Fundació Pere Tarrés.
Similar to Making Confluence an Enterprise Standard for Knowledge Management - Atlassian Summit 2010 (20)
We aim to celebrate women every day, but we’re taking today to give special recognition to womxn at Atlassian continue who inspire and lead.
For #InternationalWomensDay, we asked Atlassians to nominate and recognize amazing womxn at Atlassian who inspire them, challenge them, and truly represent Atlassian values.
Ever wondered what Atlassian engineers do in their 20% time? Join Forge engineering lead Tim Pettersen on a lightning tour of how Forge is being used inside Atlassian. Attendees will get a rare view into some of the apps, tools, and tweaks we’ve built internally on top of Forge in the spirit of dogfooding and innovation. Come along and be inspired with some great ideas for improving and automating your own teams' workflows!
Let's Build an Editor Macro with Forge UIAtlassian
Race out of the gate with Forge UI: a new way of building UI extensions for Atlassian products. In this session, Forge UI Developer Experience lead Peter Gleeson will demonstrate how build an Editor macro from scratch! Attendees will learn about Forge foundational concepts such as the FaaS dev loop, Forge CLI, and how to construct UIs from Forge UI components.
This session provides a great introduction to the Forge platform for any developer looking to get productive with editor apps and Forge UI.
In the words of Jeff Atwood: “JavaScript is the lingua franca of the web”. It’s also the first language we’ve chosen to support in Forge. In this session, Forge engineer Shorya Raj will walk through the Node.js isolate based runtime you’ll be using to write apps for Forge.
Attendees will learn about the unique features of the Forge JavaScript Runtime, such as automatic authentication and tenant context management. Shorya will also cover the differences between the Runtime, conventional browser, and Node.js APIs.
Developers or attendees with some programming experience will get the most out of this session.
Forge UI: A New Way to Customize the Atlassian User ExperienceAtlassian
UI extensibility is an integral part of Atlassian's ecosystem story. In cloud, traditionally this has been accomplished with the humble iframe. In this session you will learn about Forge UI, an additional and innovative way to build visual apps for Atlassian products.
Join Product Manager Simon Kubica and Senior Developer Michael Oates from the Forge team in exploring the underlying concepts and technology powering Forge UI, and learn how it will unlock exciting new opportunities in our ecosystem.
The Forge platform contains some powerful primitives for binding functions to Atlassian events and webhooks emitted by third-party SaaS systems. Join Platform Services Engineer Tomek Sroka as he gets hands-on with Forge Product Triggers and Web Triggers to build a powerful integration with surprisingly little code.
Attendees will walk away with a good understanding of the Forge dev loop and some tips and tricks for improving their own team’s workflows.
Observability and Troubleshooting in ForgeAtlassian
Observability is a critical component of any Cloud development platform, and we have some exciting logging, monitoring, and debugging features planned for the Forge toolchain.
In this lightning talk, Senior Developer James Hazelwood from Forge infrastructure team will give an overview of Forge logging and tunnelling features, explain how different environment types effect observability, and share some expert tips and tricks for detecting and troubleshooting issues in your Forge apps.
Trusted by Default: The Forge Security & Privacy ModelAtlassian
Security and trust have become increasingly important requirements for our customers in Cloud. We’re working to make it easier for you to build and maintain secure apps for Atlassian products.
In this session, Engineering Team Lead Dugald Morrow and Principal Product Manager Joël Kalmanowicz will explain how security and trust have been baked into the Forge framework and the benefits the platform can offer you and your users. Learn how much less work it can be to build trusted apps customers will love on Forge by going deep on the safeguards we’re putting in place.
Developers or attendees with some software security experience will get the most out of this session.
Designing Forge UI: A Story of Designing an App UI SystemAtlassian
Creating apps with Forge and its UI frontend components is now easier than ever. Join Senior Designer Allard van Helbergen and Product Manager Josephine Lee as they walk through the story of designing Forge UI.
What is a declarative UI and why did we choose this paradigm? What are all the considerations that go into defining the set of components to build apps with? And how do you make ‘creating apps’ simple? Walk away understanding the foundations of Forge, how all the different components work together, and where Forge UI is headed in the future.
After a day of learning about the exciting features of Forge, get ready for a peek under the hood to discover how it’s all implemented. Join Forge Architect Patrick Streule as he goes deep on topics such as Forge FaaS infrastructure, the internal workings of tenant isolation, and automatic authentication.
Attendees will also get a glimpse of some features we’re looking at building into the future of Forge, such as a serverless data store for apps and more!
Access to User Activities - Activity Platform APIsAtlassian
How do you stay on top of your work when it is scattered across multiple Atlassian products?
"If only there was a single place where I could see all my activity..." - sounds familiar?
We are going to provide you an insight into what lead to the creation of a new Activity API. Following last year’s Atlas Camp announcement from our CTO Sri Viswanath, Atlassian is moving onto GraphQL - new Activity API is one the first pieces of the GraphQL Atlassian Platform and is the technology behind start.atlassian.com.
Join Sergey Meshkov, Senior Developer, who will provide you a sneak peek of the new GraphQL Activity API as it will soon be available to our vendors.
Design Your Next App with the Atlassian Vendor Sketch PluginAtlassian
Our designers work 3x quicker with the Atlassian Vendor Sketch Plugin — and now we’re unleashing these superpowers to the Atlassian Ecosystem. If you mockup screens for code or marketing, we’ll help you drag and drop your way to an Atlaskit design in less than 10 minutes. And if you’re a designer, you’ll want to hear about our pixel-perfect component library and suite of seamless Sketch integrations.
Join Atlassian’s resident Sketch aficionado, Huw Evans, to learn about:
Sketch Components: If it’s in Atlaskit, it’s now in Sketch. And introducing the Symbol Palette, the quickest way to find the right component for the job.
Product Templates: Spark inspiration by building your designs inside realistic screens from Jira & Confluence — or craft hero images for your Marketplace listing!
Color and Text Styles: Heard of N75? H400? If those mean nothing to you, we’ll run through how to make your users feel at home by using Atlassian colors & typography, right inside Sketch.
Data Suppliers: Say goodbye to Lorem Ipsum. Learn how to use Sketch Data Suppliers to generate realistic copy using live data from Jira, Confluence and Bitbucket. Bonus: How we used AI to create people who don’t exist!
♀️ It's All Open Source: How we made it really easy to customise the Atlassian Vendor Sketch Plugin for your team's needs.
Tear Up Your Roadmap and Get Out of the BuildingAtlassian
You’d never knowingly ship something to your customers that didn’t deliver value, would you? Would you still stand your ground if you were under pressure to get a team of developers working on something?
You probably know that one of Atlassian’s most well-known values is “Don’t f*** the customer”, so learn what happened when a lean product team decided to tear up the roadmap because they were brave enough to admit they didn’t understand their customers well enough.
Join Janel Blattler, as she shares how her team used research to unveil a new plan in just a few weeks. You’ll be able to practice some techniques and walk away with a bucket load of inspiration.
Come along if you’d like to run research, but worry that you don’t have enough time or lack the skills to do so – you don’t need to be a researcher on your team. This session is for you if you’re looking for ways to drive customer empathy closer in the team, or you’d like to up your game and discover some new techniques for delivering lean research with actionable insights.
Nailing Measurement: a Framework for Measuring Metrics that MatterAtlassian
When it comes to designing apps and new features, we just can't get enough of metrics. In an age where we can collect data from almost anything, how can we cut through the noise and focus on the right metrics to measure the success and failures of the apps that we’re building?
Join Atlassian Product Manager Josephine Lee as she delves through what exactly makes a good metric. Throughout the talk, we’ll walk through real Atlassian examples of good and bad metrics. By exploring a framework for measurement, we’ll cover detailed features that showcase how best to measure and choose the right set of success, supportive, and counter metrics.
You'll walk away with tips and learnings from Atlassian’s approach to measuring success, and learn how to use data and metrics to inspire action in your apps.
Building Apps With Color Blind Users in MindAtlassian
Color-blind people are using your apps. 1 in 12 men is color blind. And for women, this is 1 in 200.
Building apps that work well for color blind people is not difficult. Some simple techniques help us with the design of our interface. And some tools help us see what color blind people see.
In this talk, Maarten Arts of Avisi will look at common varieties of color blindness. We will look at apps through the eyes of a color-blind person. And we will discover what color-blind people struggle with.
Regardless of whether you're a designer or developer, this talk will equip you with the skills and the tools you need to make sure that your app works for color-blind people.
Creating Inclusive Experiences: Balancing Personality and Accessibility in UX...Atlassian
The words we choose have the power to include or alienate our users. The reality is that for many, English is spoken as a second language. And unless you're going to localize your product for those major non-English speaking markets, you'll need to thoughtfully create content that is accessible to a larger audience.
But how do we create products that maintain a sense of personality without isolating a wide audience of non-native speakers?
Join Atlassian Content Designer, Roana Bilia, as she walks you through why thoughtful, inclusive content, is key to creating well-designed user experiences. You'll walk away with foundational principles for good UX copy when optimizing your product UI, a few quick wins that you as creators and developers can incorporate into your next products, as well as a set of mistakes to avoid that companies—including Atlassian—have made, which prioritized native speakers but isolated non-native speakers.
Beyond Diversity: A Guide to Building Balanced TeamsAtlassian
We hear it all the time, and we get it. Diversity and inclusion are important! But isn't it an HR problem? HR may be able to help with diversity but inclusion or creating an inclusive environment is everyone's responsibility. So how do we create an inclusive environment that celebrates diversity and engages and supports everyone? Isabel Nyo will be sharing best practices and lessons she has learned along the way. She will also be sharing her experience as a minority, a female technical leader, in the technology industry.
The Road(map) to Las Vegas - The Story of an Emerging Self-Managed TeamAtlassian
In September 2018, K15t took its mission to go self-managed to the next-level when the entire company worked together to decide on the Next Big Thing™ to build for Atlassian users and present it at Summit in Las Vegas.
In this session, Anshuman Dash, an intern turned software engineer, turned product manager, shares his journey of professional self-discovery. In under five months, he joins a freshly assembled, self-managed team in building a new Atlassian Marketplace app.
Dash will give a quick intro to what it means for a team to be self-managed. Then, he'll share his observations and experiences on the team, as well as the best-practices, patterns, and processes K15t has discovered along the way.
Whether you are a new team with a kick-ass product idea or a big company figuring out ways to scale, this talk will provide you with practical tips and ideas your team can try out!
Designing for the enterprise comes with a unique set of challenges; ensuring readability and accessibility at scale, meeting the needs of multi-layered organizations, and building a trust when your software - used by dozens of thousands of employees - is considered mission-critical.
At Atlassian, we've spent countless hours digging deep into our enterprise customer's needs and we've gathered a vast repository of insights.
In this talk, Pawel Wodkowski, a senior designer on Jira Server, will share all that we've learned from our research (while not being shy about busting some of those wild admin myths!). You'll get a crash course in what it means to design for scale the Atlassian way.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
20240605 QFM017 Machine Intelligence Reading List May 2024
Making Confluence an Enterprise Standard for Knowledge Management - Atlassian Summit 2010
1. Atlassian Summit 2010
…the journey making Confluence an Enterprise Standard
for Knowledge Management…
Deutsche Bahn AG
DB Training
Michael Mielke
Frankfurt 2010, 04, 20
2. Deutsche Bahn carries more than 4.7 million passengers
per day on around 30,000 trains
Passenger Transport
Revenues €11 billion
No. on payroll 64,000
Stations/stopping points 5,700
Locomotives 2,200
Railcars/carriages 21,100
Busses 4,100
Long-Distance Regional DB Vertrieb
Urban Transit
Transport Transport (Sales)
Passengers/day 0.3 million Passengers/day 3.1 million Passengers/day 1.3 million Tickets/year 254 million
Trains/day 1,300 Trains/day 24,200 Trains/day 3,500 Data records/day 1.5 million
No. on payroll 16,000 No. on payroll 29,000 No. on payroll 12,600 No. on payroll 6,700
Revenues € 2.9billion Revenues € 6.4billion Revenues €1.7billion Revenues € 0.1billion
Source: Facts and Figures, Deutsche Bahn (2004)
3. …implementing an Enterprise Standard
is a long journey…
We started 2006…today we are running 4 Full Confluence Licenses and support more than 15000
Users and 200 Spaces…we still are growing…
4. Aim of project „Marvin“
Focus is the improvement of Knowledge within TQM-Team
Specific aims:
1. More transparency & re-use of existing knowledge
Templates for everdy-day work
Useable presentations for short-time meetings
2. Optimal cast & usage of experience
„Whom can is ask needing information X?“
„Who has contact to customer Y?“
3. Improving the availability for our customers
Preparation of offers by Knowledge-Management
4. Improved sheduling by an active developement of topics
Active creation of new topics
Overview on topics developement-level
DB Training | GE Beratung (TQM-Team), 6/14/10 4
5. People, Playgrounds, Prospects, Projects
People
Who are we? What are our talents?
What is faszinating us?
Playground
Creation of topics
Creation of new consulting-products
Prospects
Customers & contact to customers
Knowledge on customers problems and current issues
Projects
Information on Projects: Who was involved?
What experiences have been made in an project?
DB Training | GE Beratung (TQM-Team), 6/14/10 5
6. 4P: Find the connections between thefour dimensions
I look for...
+ Contexts,
Standards, People Play- Prospects Projects
grounds
Templates
People Phonebook, This Employees is This employee has The employee
Employee-Profile, working on which made experiences worked in which
Org Chart topics? whit which projects ?
I come customers?
from...
Playgrounds Who is dealing with Overview on topics, Among which Which projects to a
a specific problem? Framework customers this topic specific issue have
Navigator, Product- is a current issue? been
Navigator accomplished?
Prospects Who are the contact From the Customer database, What are the
persons? Who perspective of this Org Charts of customers projects
knows this customer, what are customers, we worked on?
customer? the current issues? Customer-
management,
Pipeline
Projects Who was involved What are the topics references, contact Project database,
in this project? handled in this persons to a project-controlling,
project? project, customers project-portfolio-
feedback management
DB Training | GE Beratung (TQM-Team), 6/14/10 6
7. Implementing Wiki unifies various companies and customers
information requirements…
Companies perspective
concern business customer
Usability easy ITK-integration Easy information exchange
Age structure Easy use Intuitive usability
Information exchange No high education afford No complex User-Training
Interface problems easy to Services and Support easy to necessary
solve purchase Teamwork on content possible
Low costs Easy publishing of content
Kind-of-industrial-standard No extra hardware and
Law-concept licenses necessary
CI capable
BP / experience exchange
A
D
V
Reduction in costs in management
A Compatible to given Components
N
T
Migration
A Reduction in number and open Interfaces
G
E Given Licenses and potential users
S
DB Training, GE Beratung, Michael Mielke, 6/14/10 7
8. Advantages to implement Wiki from an enterprise
perspective
Usability
Consideration of the demographical development
Cross organizational and cross functional approach
Safety Topics
Exchange of content is easy
Cost Efficiency
Many worldwide companies use Confluence and it is kind-of-industrial-
standard
Available User Management
Exchange of Experience
Fits easy in existing ICT Networks
User Friendly, useable without high training effort
Teamwork on a single content is possible
Easy to publish content
…
DB Training, GE Beratung, Michael Mielke, 6/14/10 8
9. We compared various available systems due to our requirements
before we decided to use Confluence…
…we tried a few before we made our decision…
There are several providers on the marked solving different
problems in individual ways
To make the best choice we defined our requirements before we
tried some systems
Two independent surveys came to the same result.
DB Training, GE Beratung, Michael Mielke, 6/14/10 9
10. Comparison Table
Confluence MediaWiki TWiki XWiki
Version 2.7 1.11.1 TWiki 4.2.0 1.3
Licens commercial GPL GPL LGPL
language Java PHP Perl Java
storage Database Database File, RCS Database
Usergroup Enterprise Finaluser Small to middle class Work-groups, developer
companies
MySQL yes yes no yes
Oracle yes optional no yes
Accountmanagement yes no yes yes
E-Mail news yes optional yes yes
Comments Threaded Discussion Threaded Threaded
Syntax Highlighting yes Plugin Plugin yes
Quoting yes no yes yes
Scripting Macros, Plugins, Optional JavaScript, TWiki Velocity & groovy &
JavaScript and more Vars, powerful API very powerful API
PDF Export yes optional Plugin yes
(Quelle: Auszug aus der Präsentation „Wiki-Produktvergleich“, DB Systel, 08.07.2009 von Diana Paulußen)
DB Training, GE Beratung, Michael Mielke, 6/14/10 10
11. Main Enterprise Users and ICT Requirements
Confluence MediaWiki TWiki XWiki
Usability
Interface
management
ITK-
Integration
keys:
Cutting costs
Handles all requirements
Support &
Service
Handles some requirements
Used in
Industries
Handles few requirements
DB Training, GE Beratung, Michael Mielke, 6/14/10 11
12. Confluence has become an so called Industry Standard
Many internationally working companies are
focusing on knowledge management
today…
Companies who tried to develop their own
wiki-like software systems have failed and
lost a lot of money…
Examples
Big Blue invested a lot within two years trying to
develop their own system…they finally have
implemented Confluence.
Sun Microsystems made Confluence Wiki a core
system of their Community Equity Strategy.
Quelle: http://www.atlassian.com/software/confluence/casestudies/
DB Training, GE Beratung, Michael Mielke, 6/14/10 12
13. Interface Management to other related ICT Services
BKU: Group-Folder Management and MS-Office Integration
Lotus WebDav Audio / Video
Mail Bahn TV
Databases Podcast
Sametime Documenta-
tionen
Print Wiki Document-
Spaces / knowledge management Management
Newsletter Discussion
DB Welt Teamwork on single content ECM
Update (CoreMedia)
Lifelink / Share
Point / Alfresco
DB Training, GE Beratung, Michael Mielke, 6/14/10 13
14. …a lot of our organizational units are very satisfied with
our Wiki and the Knowledge Management Approach…
Customer Voices
Wiki established a great knowledge and
communication platform for our teams…
…a few of our main clients… We could significantly increase networking with
clients and colleagues, thank you Marvin…
DB Mobility Logistics AG Now we can provide fast and simple information for
our clients and we get their feedback fast was well…
Deutsche Bahn AG
Thanks to Marvin, we network a lot more…please
DB Netz AG push blogging and chat as well…
DB Fernverkehr AG Please keep moving this great approach…you are
forcing our managers to play an active and visible
DB Regio AG role here…
DB Vertrieb GmbH Thank you Marvin to bringing fun back to work…it is
a lot easier to find useful information now…
DB ProjektBau GmbH
Collaborating is actually fun, I never thought that's
possible working together virtually…
DB Energie GmbH
DB Station & Service AG
Quelle: TQM-Survey „Interview Results Wiki-System-Usage“,
Schulte / Becker, Frankfurt am Main, 27.09.2009
DB Training, GE Beratung, Michael Mielke, 6/14/10 14
15. …our Knowledge Management Approach…
Best Practise media- Floorwalking
Newsletter Podcast and Project-
communication Kick-off meeting Day workshop support
min. 1 per month Storytelling homepage in the office
(3 per year) (min 1 per month)
extension of support of operative
knowledge mapping Structures-workshop basic structures
structures processes
integration
analog Plug-ins
access local Space 1
infrastructure / Global Space using the systems
basic systems digital access local Space 2
platform Wiki
group- integration
local Space 3
folders
Plug-ins
open
concept of- competition actions like laudation & agreement on
access,
motivation motivation awards Treasure-hunt appreciation objectives
less rules
communities of identification of
rules & benefits rooms & moderators
practice experts
deployment of
communication
Integration of:
Management of report on topics scheduling &
platforms
Circles of innovation competition
Award &
improvements & rules communication
innovations
analysis of systems concept of integration in
KVP, proposals wanted
implementation overall concept
DB Training, GE Beratung, Michael Mielke, 6/14/10 15
16. Control loop for a successful Knowledge-Platform
Concept of motivation Concept of communication
Creating & maintaining initiating, sponsoring,
commitment defining tasks
analysis of systems
Integrating other
platforms &
systems
Implementati
on
Monitoring and circle Gathering & structuring
evaluating processes the collection of
and contents knowledge,
Qualification
Continuous endorsement
of content Optmizing systems Distributing & connecting
knowledge
Concept of integration Concept of architecture
DB Training,|GE Beratung, (TQM-Team), 6/14/10
Training GE Beratung Michael Mielke, 6/14/10 16
17. The single most overlooked aspect of changing the way
people think and act is „WII FM?“
Lessons Learned:
WII FM: What‘s In It For Me?
– As long as you cannot answer that question convincingly for everyone affected by the change
you want to put in place, don‘t expect results.
– Make sure you understand the formal an informal measurement systems
Communicate
– Design a clear message and vision for the change
– Inform people early, inform them often
Feedback, Feedback, Feedback
– Dialogues, focus groups, feedback loops
– People support what they help to create
DB Training, GE Beratung, Michael Mielke, 6/14/10 17
18. Project „Marvin“ – factors for success
…what leads us to success…
strategic top-down-approach
sponsoring by the management
aim of project was clearly defined
Active project-team
own roadmap including guidelines/ milestones, but a also hight flexibility
external consulting / project-support
reconditioning of projects hypothesis + visionary work oriented on solution and resources (Future-
History-Process, metaphor)
4P-Approach
elaborated Change-Management-Approach
creation of a learning wiki system (principle of self-organization)
long-run change-approach
DB Training | GE Beratung (TQM-Team), 6/14/10 18
19. Next Level using Confluence for Corporate Innovation Lab
With SketchUp designed 3D Model of the CIL
The Pensive Innovation Area
Workshop-
Area
Meeting Room
Workshop-
Area
DB Training, GE Beratung, Michael Mielke, 6/14/10 19
20. Different Areas for certain functionalities…
The Information / Innovation
Area
The Information / Innovation Area
…come together with some “crazy”, “weird”, creative
people who can imagine….
Setup our screens with all useful information you have
due to a certain problem you want to solve…
Visualize your current services associative with some
good pictures and do the same with your customers…
…when you look at all the information
you are typically moving in your head
while thinking about a solution for a
certain problem, you will get that
great idea faster, if you do that
together with some people mentioned
above the results will even come
faster and more innovative.
…most of the information needed is available in our wiki…
DB Training, GE Beratung, Michael Mielke, 6/14/10 20
21. Different Areas for certain functionalities…
The Pensive, your room to
think…
The Pensive
Teamwork and Innovation is fast and highly dynamic. Sometimes
you might need a quit place to think about the new idea on your
own. The Pensive is a quit room to think, a place to escape from
the rush of the other areas. Get in if you need, but come back as
well…
DB Training, GE Beratung, Michael Mielke, 6/14/10 21
22. Different Areas for certain functionalities…
The Meeting Room and Decision Area
The Meeting Room
This Room is dedicated to decision! You have worked out some ideas in the other
areas and now you want to go ahead. Develop your concept, project plans or
roadmap, assign resources and finally specify your decision.
This room is fully equipped with all infrastructure you need, no excuses…
DB Training, GE Beratung, Michael Mielke, 6/14/10 22
23. Proof on Concept
June 24-25th we are proof this concept running 5 different CIL
parallel in one of our training facilities.
This approach combines “classic” infrastructure with knowledge
and information management based on confluence 3.X