This document provides tips and an ideal timeline for planning an office move. It recommends beginning preparations 6 months in advance by cleaning up IT systems and minimizing the technology footprint. At 3 months, organizations should select vendors like internet service providers and coordinate with staff. In the final month, plans should be made for the new network setup, ordering supplies, and managing staff expectations. The week before the move involves assigning responsibilities, and potential issues that could arise on moving day like technology damage or connectivity problems should be anticipated.
Ground Control 2017 Talk.
It’s launch day! You and your team have worked hard to achieve this — the moment when you release your client’s website into the wild, ready to go off and live on its own. But wait! Is the client’s team equipped to handle the growing needs of their new website? Who will be making needed updates? Are other team members involved in content maintenance decisions? And will your client be able to deal with the design and development needs of the site as the site’s purpose grows?
Lies Enterprise Architects Tell - Data Day Texas 2018 Keynote Gwen (Chen) Shapira
The document discusses lies that architects sometimes tell and truths they avoid. It provides examples of six common lies: 1) saying a system is real-time or has big data when it really has specific requirements, 2) claiming a microservices architecture exists when the goal is still to migrate, 3) saying hybrid/multi-cloud architectures don't exist when the architecture is just copy-pasted, 4) using "best of breed" when really using only one of everything, 5) claiming something can't be done at an organization due to its nature when other similar organizations succeeded, and 6) avoiding risk or change by safely interpreting things in a non-threatening way. The document advocates defining responsibilities clearly, embracing change, taking measured
1. The document discusses using Kanban systems and limiting work in progress to improve predictability in agile software development projects. It emphasizes measuring cycle time, throughput, and work in progress to understand flow.
2. Key aspects include defining a Kanban system, work in progress limits, measuring metrics, and introducing processes like replenishment ceremonies to maintain flow. Adhering to the assumptions of Little's Law is important for predictability.
3. The document argues that establishing process policies based on Little's Law assumptions, like maintaining flow and limiting work in progress, can help make a development process more predictable through quantitative analysis and continuous improvement.
Big Data Paris 2019 v 8.0 I 'Big Data & Agility: The Lessons Learned' - Sylv...Dataconomy Media
The document discusses the author's experience bringing agile practices to data projects. It describes her first successful agile data project where the team worked well together but subsequent projects faced challenges. The conclusion is that while agility can be effective for data projects, it is not always easy to implement and additional improvements are needed, particularly strong product ownership and support from coaches or scrum masters.
Technical Debt - Or ‘how to make great products your teams want to work on’Matt Thornhill
By the end of my talk you will have an appreciation for technical debt and why I think its so important to us, our teams and the longevity of the products we create.
The business user IT experience is more important today than ever before. Spectrum Health relates how they use Lean and Agile methodologies to deliver a user-centered experience in CA Service Catalog. Also learn about the business value derived from their approach.
For more information on Management Cloud solutions from CA Technologies, please visit: http://bit.ly/1wEnPhz
This document provides tips and an ideal timeline for planning an office move. It recommends beginning preparations 6 months in advance by cleaning up IT systems and minimizing the technology footprint. At 3 months, organizations should select vendors like internet service providers and coordinate with staff. In the final month, plans should be made for the new network setup, ordering supplies, and managing staff expectations. The week before the move involves assigning responsibilities, and potential issues that could arise on moving day like technology damage or connectivity problems should be anticipated.
Ground Control 2017 Talk.
It’s launch day! You and your team have worked hard to achieve this — the moment when you release your client’s website into the wild, ready to go off and live on its own. But wait! Is the client’s team equipped to handle the growing needs of their new website? Who will be making needed updates? Are other team members involved in content maintenance decisions? And will your client be able to deal with the design and development needs of the site as the site’s purpose grows?
Lies Enterprise Architects Tell - Data Day Texas 2018 Keynote Gwen (Chen) Shapira
The document discusses lies that architects sometimes tell and truths they avoid. It provides examples of six common lies: 1) saying a system is real-time or has big data when it really has specific requirements, 2) claiming a microservices architecture exists when the goal is still to migrate, 3) saying hybrid/multi-cloud architectures don't exist when the architecture is just copy-pasted, 4) using "best of breed" when really using only one of everything, 5) claiming something can't be done at an organization due to its nature when other similar organizations succeeded, and 6) avoiding risk or change by safely interpreting things in a non-threatening way. The document advocates defining responsibilities clearly, embracing change, taking measured
1. The document discusses using Kanban systems and limiting work in progress to improve predictability in agile software development projects. It emphasizes measuring cycle time, throughput, and work in progress to understand flow.
2. Key aspects include defining a Kanban system, work in progress limits, measuring metrics, and introducing processes like replenishment ceremonies to maintain flow. Adhering to the assumptions of Little's Law is important for predictability.
3. The document argues that establishing process policies based on Little's Law assumptions, like maintaining flow and limiting work in progress, can help make a development process more predictable through quantitative analysis and continuous improvement.
Big Data Paris 2019 v 8.0 I 'Big Data & Agility: The Lessons Learned' - Sylv...Dataconomy Media
The document discusses the author's experience bringing agile practices to data projects. It describes her first successful agile data project where the team worked well together but subsequent projects faced challenges. The conclusion is that while agility can be effective for data projects, it is not always easy to implement and additional improvements are needed, particularly strong product ownership and support from coaches or scrum masters.
Technical Debt - Or ‘how to make great products your teams want to work on’Matt Thornhill
By the end of my talk you will have an appreciation for technical debt and why I think its so important to us, our teams and the longevity of the products we create.
The business user IT experience is more important today than ever before. Spectrum Health relates how they use Lean and Agile methodologies to deliver a user-centered experience in CA Service Catalog. Also learn about the business value derived from their approach.
For more information on Management Cloud solutions from CA Technologies, please visit: http://bit.ly/1wEnPhz
APM Planning, Monitoring and Control SIG Conference 2021 - Project controls: but not as we know it
Session title:
Close of conference
presented by Keith Haward
Tuesday 13 July 2021
The link to the write up page and resources of this conference:
https://www.apm.org.uk/news/apm-pmc-sig-conference-2021-project-controls-but-not-as-we-know-it/
Presentation synopsis:
Conference close session thanking all those involved for creating a successful event, to the delegates, the organising committee and speakers.
Conference description:
How will Project Data Analytics (PDA) change project controls in the future?
We all know that one of the key elements to successful project delivery is a robust project control system. But while many of these processes are well established, the ability to make maximum use of the resulting data has often proved challenging. But this is changing.
For those involved in project controls in any way, this conference shared the latest practical uses of PDA as well as a glimpse into the future!
The conference provided insight from a range of PDA practitioners as well as feedback from a recent Delphi research study on the topic.
PDA will be key to the profession as we look forwards, make sure you help us shape it to deliver what we really need
[AIIM17] It’s Harvest Time in the Information Garden - Dan AntionAIIM International
We’ve been collecting information for many years, driven by the usual suspects: compliance and fear. Now it’s time to take advantage of the information we’ve gathered by shifting our focus from the people who felt they had to keep it to the people who can actually use it. In short, it’s time to reap the benefits of the hard work we have already done. Learn how American Nuclear Insurers is using their information today, the process that got them there, and the technology it took to make it happen.
Learn about the current state of Information Management in AIIM’s latest report: http://info.aiim.org/2017-state-of-information-management
Cloudera Cares + DataKind | 7 May 2015 | London, UKCloudera, Inc.
Presented on 7 May 2015 in London, Cloudera Cares and DataKind talked about the following topics:
Cloudera Cares: How we've contributed to the community in 2014
Doug Cutting: PAX Data
Amr Awadallah: Cloudera Academic Partnership
Duncan Ross: DataKind UK Overview
Ian Ansell, Peter Passaro, Henry Simms, Billy Wong: Citizens Advice and DataKind
“I’m here to help Zone 1. My name is Bob.”
Zone 1: “Great, Bob. Let’s go through the checklist.”
Thursday, August 2, 12
Executing the plan
Follow the plan
Checklists, diagrams, timelines.
Stick to it like glue.
Thursday, August 2, 12
Executing the plan
Verify checkpoints
Point Guard: “Zone 1, how are things looking?”
Zone 1: “We’re at checkpoint 3. All servers are racked as expected.”
Point Guard: “Great, moving to the next phase.”
Thursday, August 2, 12
Executing the plan
Communic
business model, business model canvas, mission model, mission model canvas, customer development, hacking for defense, H4D, lean launchpad, lean startup, stanford, startup, steve blank, pete newell, bmnt, AI, Machine Learning, ML
BSides Seattle 2024 - Stopping Ethan Hunt From Taking Your Data.pptxfenichawla
Data security is rapidly gaining importance as the volume of data companies collect, analyze and monetize grows exponentially. New data processing tools and platforms are emerging at an increasing rate, as are the ways in which an organization consumes data. In this presentation Mukund Sarma and Feni Chawla talk about the unique technical and cultural challenges of running a data security program and share some practical solutions that have worked well at our company.
These slides were presented at the BSides Seattle 2024 conference.
UX STRAT USA 2019: Richard Baker, GE TransportationUX STRAT
Many engineering-focused enterprises have become solution driven—it's in the very nature of their work. Oftentimes it can be tricky to convince your stakeholders to use valuable time and resources on user experience.
Over the past two years, the innovation and design teams at GE Transportation have been refining their processes to enable engineering-heavy teams to capitalize on long-term strategy and short-term design-led execution through four key principles:
Simplify the complex
Work in bite-size chunks to make things manageable
Built-in exit ramps to ensure relevancy and quality
Work in full transparency
In this presentation, Richard will walk through how user-centric design was scaled in an engineer-led enterprise of thousands mechanical, electrical, and computer engineers.
Data Stack Considerations: Build vs. Buy at ToutLooker
In this webinar we see why and how Tout – a fast-growing video platform – made the jump to Looker and Treasure Data, and solved their data stack issues.
Slides cover:
-The pitfalls of in-house solutions
-The importance of companywide access to all data
-The best way to optimize your data pipeline
-The facts behind buying vs. building analytics infrastructure
Synapse is a solution provider with an innovative alternative to commercial off-the-shelf IT applications. Empowering business professionals to shape business processes without being chained to IT applications.
This document describes an approach called requirements prototyping that uses rapid prototyping, user testing, and iterative development to build digital tools faster and ensure they meet user needs. It emphasizes getting user feedback early in the process through prototypes and testing potential solutions in real-world contexts before full development. This approach aims to deliver solutions in half the time and at half the cost compared to traditional methods by avoiding overbuilding and ensuring user needs are addressed. Examples are provided of projects delivered using this approach in under 3 months. Innovation workshops are also described to help clients identify the right projects to pursue using this user-centered, rapid development methodology.
Business Agility - Pivot or Perish v1.5Richard Cheng
This document discusses business agility and how organizations can adapt to change. It defines business agility as the ability to adapt quickly to market changes, respond rapidly to customer demands, and continuously have a competitive advantage. It outlines six enablers of business agility: Agile, Scrum, Design Thinking, Lean Startup, Automation, and DevOps. The document provides an overview of each enabler and how they can help organizations become more agile.
A Journey Through Agile in the GovernmentRichard Cheng
This document summarizes Richard Cheng's experience helping various government agencies adopt Agile practices. It describes projects from 2008-2011 at the Office of Personnel Management, USAJOBS, and establishing the Agile Delivery for Agencies, Programs, and Teams community. Key challenges discussed are contracts and procurement, governance, scaling Agile, and overcoming legacy culture and processes. The document advocates for incremental delivery, empirical process control, and building communities to foster transformation to Agile in government.
Web-based project management & time tracking software for digital marketing & creative teams. Take the chaos out of marketing collaboration & planning.
This document discusses different methods for conducting retrospectives in Agile software development. It outlines several common retrospective structures including using three questions to gather data on what went well, what didn't go well, and what puzzles the team; using a starfish model to gather data on what to keep doing, start doing, stop doing, and less of; and using a timeline to map out significant, problematic, and good events over the project. The document also discusses setting the stage, gathering data, generating insights, deciding on actions, and closing out the retrospective. The goal of retrospectives is for teams to reflect on how to continuously improve.
The story of how NC State's OIT Design group built new positions, defined processes, and continued planning for the future in an effort to improve campus web services. Slide-only view: http://www.slideshare.net/ncsumarit/the-making-of-a-web-team
2014.09.10 Are Agile Teams More Effective? Findings from the Teamwork Literat...NUI Galway
Professor Torgeir Dingsøyr, SINTEF Research Foundation, Norway, gave this seminar on Are Agile Teams More Effective? Findings from the Teamwork Literature and Empirical Studies of Agile Teams at the Whitaker Institute on 10th September 2014
Webinar on Big Data Challenges : Presented by Raj KasturioGuild .
Big data is huge! with billions and billions of data sets and a need to analyze and apply that to real-life problem-solving is a challenge. Are traditional methods successful in solving big data problems?
Let’s take a look at the current state of big data, if traditional methodologies are providing the necessary answers quick enough. Is Agile/Scrum a good fit for big data?
– big data in any industry
– high data availability, real time analytics, data warehousing
– agile spectrum and where do my projects fall?
– big data complexity and empirical process control theory
– current industry trends
– metrics
The Net Worth application uses SQL queries to retrieve and analyze financial data stored in its database tables. Key queries include those that calculate the distribution of a user's assets by category, city-wise distribution of real estate values, and queries to generate charts and reports on a user's net worth, spending, loans, and total financial picture over time. The queries aggregate data from tables storing financial assets, real estate, liabilities, and transactions to provide meaningful insights into a user's financial well-being.
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...Social Samosa
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
APM Planning, Monitoring and Control SIG Conference 2021 - Project controls: but not as we know it
Session title:
Close of conference
presented by Keith Haward
Tuesday 13 July 2021
The link to the write up page and resources of this conference:
https://www.apm.org.uk/news/apm-pmc-sig-conference-2021-project-controls-but-not-as-we-know-it/
Presentation synopsis:
Conference close session thanking all those involved for creating a successful event, to the delegates, the organising committee and speakers.
Conference description:
How will Project Data Analytics (PDA) change project controls in the future?
We all know that one of the key elements to successful project delivery is a robust project control system. But while many of these processes are well established, the ability to make maximum use of the resulting data has often proved challenging. But this is changing.
For those involved in project controls in any way, this conference shared the latest practical uses of PDA as well as a glimpse into the future!
The conference provided insight from a range of PDA practitioners as well as feedback from a recent Delphi research study on the topic.
PDA will be key to the profession as we look forwards, make sure you help us shape it to deliver what we really need
[AIIM17] It’s Harvest Time in the Information Garden - Dan AntionAIIM International
We’ve been collecting information for many years, driven by the usual suspects: compliance and fear. Now it’s time to take advantage of the information we’ve gathered by shifting our focus from the people who felt they had to keep it to the people who can actually use it. In short, it’s time to reap the benefits of the hard work we have already done. Learn how American Nuclear Insurers is using their information today, the process that got them there, and the technology it took to make it happen.
Learn about the current state of Information Management in AIIM’s latest report: http://info.aiim.org/2017-state-of-information-management
Cloudera Cares + DataKind | 7 May 2015 | London, UKCloudera, Inc.
Presented on 7 May 2015 in London, Cloudera Cares and DataKind talked about the following topics:
Cloudera Cares: How we've contributed to the community in 2014
Doug Cutting: PAX Data
Amr Awadallah: Cloudera Academic Partnership
Duncan Ross: DataKind UK Overview
Ian Ansell, Peter Passaro, Henry Simms, Billy Wong: Citizens Advice and DataKind
“I’m here to help Zone 1. My name is Bob.”
Zone 1: “Great, Bob. Let’s go through the checklist.”
Thursday, August 2, 12
Executing the plan
Follow the plan
Checklists, diagrams, timelines.
Stick to it like glue.
Thursday, August 2, 12
Executing the plan
Verify checkpoints
Point Guard: “Zone 1, how are things looking?”
Zone 1: “We’re at checkpoint 3. All servers are racked as expected.”
Point Guard: “Great, moving to the next phase.”
Thursday, August 2, 12
Executing the plan
Communic
business model, business model canvas, mission model, mission model canvas, customer development, hacking for defense, H4D, lean launchpad, lean startup, stanford, startup, steve blank, pete newell, bmnt, AI, Machine Learning, ML
BSides Seattle 2024 - Stopping Ethan Hunt From Taking Your Data.pptxfenichawla
Data security is rapidly gaining importance as the volume of data companies collect, analyze and monetize grows exponentially. New data processing tools and platforms are emerging at an increasing rate, as are the ways in which an organization consumes data. In this presentation Mukund Sarma and Feni Chawla talk about the unique technical and cultural challenges of running a data security program and share some practical solutions that have worked well at our company.
These slides were presented at the BSides Seattle 2024 conference.
UX STRAT USA 2019: Richard Baker, GE TransportationUX STRAT
Many engineering-focused enterprises have become solution driven—it's in the very nature of their work. Oftentimes it can be tricky to convince your stakeholders to use valuable time and resources on user experience.
Over the past two years, the innovation and design teams at GE Transportation have been refining their processes to enable engineering-heavy teams to capitalize on long-term strategy and short-term design-led execution through four key principles:
Simplify the complex
Work in bite-size chunks to make things manageable
Built-in exit ramps to ensure relevancy and quality
Work in full transparency
In this presentation, Richard will walk through how user-centric design was scaled in an engineer-led enterprise of thousands mechanical, electrical, and computer engineers.
Data Stack Considerations: Build vs. Buy at ToutLooker
In this webinar we see why and how Tout – a fast-growing video platform – made the jump to Looker and Treasure Data, and solved their data stack issues.
Slides cover:
-The pitfalls of in-house solutions
-The importance of companywide access to all data
-The best way to optimize your data pipeline
-The facts behind buying vs. building analytics infrastructure
Synapse is a solution provider with an innovative alternative to commercial off-the-shelf IT applications. Empowering business professionals to shape business processes without being chained to IT applications.
This document describes an approach called requirements prototyping that uses rapid prototyping, user testing, and iterative development to build digital tools faster and ensure they meet user needs. It emphasizes getting user feedback early in the process through prototypes and testing potential solutions in real-world contexts before full development. This approach aims to deliver solutions in half the time and at half the cost compared to traditional methods by avoiding overbuilding and ensuring user needs are addressed. Examples are provided of projects delivered using this approach in under 3 months. Innovation workshops are also described to help clients identify the right projects to pursue using this user-centered, rapid development methodology.
Business Agility - Pivot or Perish v1.5Richard Cheng
This document discusses business agility and how organizations can adapt to change. It defines business agility as the ability to adapt quickly to market changes, respond rapidly to customer demands, and continuously have a competitive advantage. It outlines six enablers of business agility: Agile, Scrum, Design Thinking, Lean Startup, Automation, and DevOps. The document provides an overview of each enabler and how they can help organizations become more agile.
A Journey Through Agile in the GovernmentRichard Cheng
This document summarizes Richard Cheng's experience helping various government agencies adopt Agile practices. It describes projects from 2008-2011 at the Office of Personnel Management, USAJOBS, and establishing the Agile Delivery for Agencies, Programs, and Teams community. Key challenges discussed are contracts and procurement, governance, scaling Agile, and overcoming legacy culture and processes. The document advocates for incremental delivery, empirical process control, and building communities to foster transformation to Agile in government.
Web-based project management & time tracking software for digital marketing & creative teams. Take the chaos out of marketing collaboration & planning.
This document discusses different methods for conducting retrospectives in Agile software development. It outlines several common retrospective structures including using three questions to gather data on what went well, what didn't go well, and what puzzles the team; using a starfish model to gather data on what to keep doing, start doing, stop doing, and less of; and using a timeline to map out significant, problematic, and good events over the project. The document also discusses setting the stage, gathering data, generating insights, deciding on actions, and closing out the retrospective. The goal of retrospectives is for teams to reflect on how to continuously improve.
The story of how NC State's OIT Design group built new positions, defined processes, and continued planning for the future in an effort to improve campus web services. Slide-only view: http://www.slideshare.net/ncsumarit/the-making-of-a-web-team
2014.09.10 Are Agile Teams More Effective? Findings from the Teamwork Literat...NUI Galway
Professor Torgeir Dingsøyr, SINTEF Research Foundation, Norway, gave this seminar on Are Agile Teams More Effective? Findings from the Teamwork Literature and Empirical Studies of Agile Teams at the Whitaker Institute on 10th September 2014
Webinar on Big Data Challenges : Presented by Raj KasturioGuild .
Big data is huge! with billions and billions of data sets and a need to analyze and apply that to real-life problem-solving is a challenge. Are traditional methods successful in solving big data problems?
Let’s take a look at the current state of big data, if traditional methodologies are providing the necessary answers quick enough. Is Agile/Scrum a good fit for big data?
– big data in any industry
– high data availability, real time analytics, data warehousing
– agile spectrum and where do my projects fall?
– big data complexity and empirical process control theory
– current industry trends
– metrics
The Net Worth application uses SQL queries to retrieve and analyze financial data stored in its database tables. Key queries include those that calculate the distribution of a user's assets by category, city-wise distribution of real estate values, and queries to generate charts and reports on a user's net worth, spending, loans, and total financial picture over time. The queries aggregate data from tables storing financial assets, real estate, liabilities, and transactions to provide meaningful insights into a user's financial well-being.
Similar to Building a Loved Data Engineering Team at Afterpay (20)
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...Social Samosa
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
Build applications with generative AI on Google CloudMárton Kodok
We will explore Vertex AI - Model Garden powered experiences, we are going to learn more about the integration of these generative AI APIs. We are going to see in action what the Gemini family of generative models are for developers to build and deploy AI-driven applications. Vertex AI includes a suite of foundation models, these are referred to as the PaLM and Gemini family of generative ai models, and they come in different versions. We are going to cover how to use via API to: - execute prompts in text and chat - cover multimodal use cases with image prompts. - finetune and distill to improve knowledge domains - run function calls with foundation models to optimize them for specific tasks. At the end of the session, developers will understand how to innovate with generative AI and develop apps using the generative ai industry trends.
8. WHAT DID WE DO DIFFERENT?
- Delivery every week.
- Kept things really simple.
- Gave users the tools they want.
- Gave as much as control as possible to users
- Sandbox Schemas – Huge Hit.
- E & L – T mostly by customers.
- Made decisions very fast.
- Tried things fast and moved on, ruthlessly, if they didn’t work.
- Didn’t take any shortcuts on security.
- Knowingly took on tech debt and cleared it as we went along.
14. 1. DO THE RIGHT THINGS
14
1. Listento what your clients want.
2. Work hard on giving your team
clarity
3. Instill passion for Technology and
TCO responsibility
15. 15
2. DO THEM FAST
1. Incorporate and empower small, self-
contained “youbuild it, you run it”
teams.
2. Infuse radical courage by providingair
cover to make mistakes,learn and
innovate.
3. Invest in DevOpsthinking,tooling and
processes.
16. 16
3. ENSURE THEY ARE DONE
1. Reward Shipping stuff.
2. Reward solving actual customer
needs(not cool tech).
3. Rewardcollaborative success to
eliminate the “who gets the credit”
problem.