The story of http://designsparkmarketplace.comHolly Cummins
The IBM Cloud Garage worked with RS Components to create http://designsparkmarketplace.com, a peer to peer maker marketplace. This is the story of how we did it.
Management in a Cloud Centric World – The NEW Business ParadigmResellerClub
Management in a Cloud Centric World – The NEW Business Paradigm
Did you know that 90% of mobile users keep their device within arm’s reach, 100% of the time. Come and learn how Cloud is delivering on its promise to be a game-changing and disruptive enabler of business value. This session will talk about customer examples of business transformation leveraging cloud centric technologies and how you can get started today !! We will also focus on some of the systems management capabilities required in such a cloud centric world.
Manish Aggarwal
Cloud Strategy Manager
IBM
The story of http://designsparkmarketplace.comHolly Cummins
The IBM Cloud Garage worked with RS Components to create http://designsparkmarketplace.com, a peer to peer maker marketplace. This is the story of how we did it.
Management in a Cloud Centric World – The NEW Business ParadigmResellerClub
Management in a Cloud Centric World – The NEW Business Paradigm
Did you know that 90% of mobile users keep their device within arm’s reach, 100% of the time. Come and learn how Cloud is delivering on its promise to be a game-changing and disruptive enabler of business value. This session will talk about customer examples of business transformation leveraging cloud centric technologies and how you can get started today !! We will also focus on some of the systems management capabilities required in such a cloud centric world.
Manish Aggarwal
Cloud Strategy Manager
IBM
Product Development in the Cloud - ENT206 - Chicago AWS SummitAmazon Web Services
The journey to the cloud is an opportunity to transform outdated operations and development practices. DevOps, Agile software development, and Design Thinking are some of the popular methodologies used today to successfully speed delivery of new products and features and create a more customer-centric mindset. In this session, we break down the essential components of these methods and share tips on navigating common challenges when adopting these methods during a cloud migration.
7 Ways to Maximize ROI on your Digital Experience InvestementGlenn Kline
This is a presentation I gave for Perficient at IBM Amplify 2017 on 7 ways to maximize your ROI on your IBM Digital Experience / WebSphere Portal and Web Content Management investment.
How to Balance System Speed and Risk for Multi-Platform InnovationClaudia Ring
Walking the line between speed to market and stability of mission-critical systems is something many enterprise organizations deal with on a consistent basis, especially when planning a major application release. Multi-speed IT is a term that connotes the difficulty of balancing speed and risk for these enterprises, but also one that inherently defines a solution; moving at different speeds depending on system requirements. While moving at various speeds based on whether you are releasing changes for Systems of Engagement (SOE) or Systems of Record (SOR) can seem negative, it can be used as a stepping stone towards complete enterprise agility and iterative improvements in release management across both types of systems. Join Rosalind Radcliffe, IBM Distinguished Engineer and Chief Architect for DevOps, as she discusses;
How to begin incorporating continuous testing into the release cycle for both SOE's and SOR's
How deployment automation can be incorporated into multi-platform deployments
How earlier, more frequent testing and automated deployments can help stabilize risk while increasing speed
Customer success with using these testing and deployment solutions to achieve agility across both SOE's and SOR's
The journey to the cloud is an opportunity to transform outdated operations and development practices. DevOps, Agile software development, and Design Thinking are some of the popular methodologies used today to successfully speed delivery of Approved products and features and create a more customer-centric mindset. In this session, we break down the essential components of these methods and share tips on navigating common challenges when adopting these methods during a cloud migration.
At Amazon, we’ve been investing deeply in artificial intelligence for over 20 years. Machine learning (ML) algorithms drive many of our internal systems. It's also core to the capabilities our customers experience – from the path optimization in our fulfillment centers, and Amazon.com’s recommendations engine, to Echo powered by Alexa, our drone initiative Prime Air, and our new retail experience Amazon Go. This is just the beginning. Our mission is to share our learnings and ML capabilities as fully managed services, and put them into the hands of every developer and data scientist.
With the rapid growth in data and move towards data commercialisation there are multiple aspects to focus on and prioritize the steps being taken across an enterprise. Enterprises face many challenges when it comes to truly becoming a data driven organization and realize the full potential of data. Some of those challenges include data availability, capacity to process, store and analyze this data, sharing the models and data artefacts across different teams etc. Most of these challenges could be handled through a platform which is Cloud based, scalable, and offers different capabilities for Governance, security, reusability and their likes. In this talk, I will talk about how IBM Cloud Pak serves as a framework for implementing your AI Strategy and how it could be used to build different artefacts while adhering to above listed requirements and being future ready. We will further illustrate how Cloud Pak for Data fastens and shortens the route to data commercialisation?
Slides from the partner event that I spoke at on the 24 April 2014. Includes and introduction to AWS and details of common adoption patterns for Enterprises that are moving to the cloud
My presentation for our Benelux IBM Rational Innovate event. This presentation explains how the IBM Bluemix and devops as a service solution can be used for modern cloud based development.
Cloud computing has emerged as an innovative and disruptive technology for government and industry.
In this presentation, Intelligo makes a business case for the implementation of Cloud technologies in businesses.
Many organizations that embark on a journey to the cloud view their effort as an opportunity to transform their outdated operations and development practices. DevOps, Agile software development, and Design Thinking are the popular methodologies used today to successfully speed the delivery of new products and features and create a more customer-centric mindset. In this session, we break down the essential components of each method and provide tips on how to navigate common challenges when adopting these methods during a cloud migration.
Product Development in the Cloud - ENT206 - Chicago AWS SummitAmazon Web Services
The journey to the cloud is an opportunity to transform outdated operations and development practices. DevOps, Agile software development, and Design Thinking are some of the popular methodologies used today to successfully speed delivery of new products and features and create a more customer-centric mindset. In this session, we break down the essential components of these methods and share tips on navigating common challenges when adopting these methods during a cloud migration.
7 Ways to Maximize ROI on your Digital Experience InvestementGlenn Kline
This is a presentation I gave for Perficient at IBM Amplify 2017 on 7 ways to maximize your ROI on your IBM Digital Experience / WebSphere Portal and Web Content Management investment.
How to Balance System Speed and Risk for Multi-Platform InnovationClaudia Ring
Walking the line between speed to market and stability of mission-critical systems is something many enterprise organizations deal with on a consistent basis, especially when planning a major application release. Multi-speed IT is a term that connotes the difficulty of balancing speed and risk for these enterprises, but also one that inherently defines a solution; moving at different speeds depending on system requirements. While moving at various speeds based on whether you are releasing changes for Systems of Engagement (SOE) or Systems of Record (SOR) can seem negative, it can be used as a stepping stone towards complete enterprise agility and iterative improvements in release management across both types of systems. Join Rosalind Radcliffe, IBM Distinguished Engineer and Chief Architect for DevOps, as she discusses;
How to begin incorporating continuous testing into the release cycle for both SOE's and SOR's
How deployment automation can be incorporated into multi-platform deployments
How earlier, more frequent testing and automated deployments can help stabilize risk while increasing speed
Customer success with using these testing and deployment solutions to achieve agility across both SOE's and SOR's
The journey to the cloud is an opportunity to transform outdated operations and development practices. DevOps, Agile software development, and Design Thinking are some of the popular methodologies used today to successfully speed delivery of Approved products and features and create a more customer-centric mindset. In this session, we break down the essential components of these methods and share tips on navigating common challenges when adopting these methods during a cloud migration.
At Amazon, we’ve been investing deeply in artificial intelligence for over 20 years. Machine learning (ML) algorithms drive many of our internal systems. It's also core to the capabilities our customers experience – from the path optimization in our fulfillment centers, and Amazon.com’s recommendations engine, to Echo powered by Alexa, our drone initiative Prime Air, and our new retail experience Amazon Go. This is just the beginning. Our mission is to share our learnings and ML capabilities as fully managed services, and put them into the hands of every developer and data scientist.
With the rapid growth in data and move towards data commercialisation there are multiple aspects to focus on and prioritize the steps being taken across an enterprise. Enterprises face many challenges when it comes to truly becoming a data driven organization and realize the full potential of data. Some of those challenges include data availability, capacity to process, store and analyze this data, sharing the models and data artefacts across different teams etc. Most of these challenges could be handled through a platform which is Cloud based, scalable, and offers different capabilities for Governance, security, reusability and their likes. In this talk, I will talk about how IBM Cloud Pak serves as a framework for implementing your AI Strategy and how it could be used to build different artefacts while adhering to above listed requirements and being future ready. We will further illustrate how Cloud Pak for Data fastens and shortens the route to data commercialisation?
Slides from the partner event that I spoke at on the 24 April 2014. Includes and introduction to AWS and details of common adoption patterns for Enterprises that are moving to the cloud
My presentation for our Benelux IBM Rational Innovate event. This presentation explains how the IBM Bluemix and devops as a service solution can be used for modern cloud based development.
Cloud computing has emerged as an innovative and disruptive technology for government and industry.
In this presentation, Intelligo makes a business case for the implementation of Cloud technologies in businesses.
Many organizations that embark on a journey to the cloud view their effort as an opportunity to transform their outdated operations and development practices. DevOps, Agile software development, and Design Thinking are the popular methodologies used today to successfully speed the delivery of new products and features and create a more customer-centric mindset. In this session, we break down the essential components of each method and provide tips on how to navigate common challenges when adopting these methods during a cloud migration.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Show drafts
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
3. IBM Garage
3
Guided transformation inspires
smart and confident decisions
- Get fast, tangible outcomes and deliverables.
- Expand your teams’ expertise.
- Use new frameworks, new ways of working, and new
thinking to establish lasting change and long-term skills.
• Establish new areas of
innovation and creativity.
• Enhance customer
experiences.
• Improve company-wide
performance.
• Establish a hypothesis-
driven culture.
• Collect and use data to
increase productivity and,
with it, revenue.
• Transformation involves
adopting cloud and
analytics, and perhaps IoT,
AI, quantum, and beyond.
• Transformation is more
than just adopting
technology.
Transform
decision
making
with
technology
4. IBM Garage
4
Your next, first step to be first,
move fast, go farther.
Meanwhile, your team adopts a new way of working, from start
to finish.
IBM Garage
provides you
Business knowledge
Strategy execution
Technical expertise
AI
Analytics
Automation
Big Data
Blockchain
Data Science
Design
DevOps
IoT
Microservices
Multi-cloud
Private Cloud
Quantum
Security
No matter your interest…
6. IBM Garage
Activities
Initial Framing
Session
Design Thinking Architecture Minimum Viable
Product Build-up
Build Out
Client outcomes
Align on your vision
and desired business
outcome.
Confirm executive
sponsor, product owner.
owner.
Align LOB and IT on
user experience and
roadmap to meet your
vision.
Agree on next MVP
business experiment.
Assess and align
minimum viable
architecture.
Test hypothesis via
learning–driven
production release.
Achieve the stated
business mission.
Become self–sufficient
in achieving business
results with the IBM
Garage Method.
Scale production
environment/app.
6
Take your idea to reality with speed.
Applies to: Innovation | Modernization | Data & AI | and more
7. IBM Garage
7
Foundations of the IBM Garage
People and
capabilities
Applied
technology
New ways
of working
Global
network
Partnerships
Your team, our team,
and an ecosystem of
expertise customized to
the opportunity:
• Designers
• Architects
• Developers
• IBM Research
• Industry experts
• Digital strategists
• Data scientists
• Process specialists
A catalog of workflows
workflows powered by:
by:
• Hybrid Cloud
• AI and Automation
• Data science,
Analytics
• Blockchain
• Technology
integration
• AR/VR
• IoT
• Quantum
Inspire and adopt a new
way of working
designed for the digital
era:
• Enterprise Design
Thinking
• Agile, Distributed
agile
• Site reliability
engineering
• DevOps
• Digital change
• Lean startup
• Transformation
framework
Our workspaces inspire
inspire ideas and
enable change:
• Purpose-built,
worldwide IBM
Garages
• Client or third-party
locations including
IBM Studios, IBM
Delivery Hubs
• Innovation platform
• Local capability
leveraged globally
and consistently
Leverage our ever-
expanding ecosystem
of partners across the
world.
As your transformation
matures, our guidance
extends beyond your
innovation.
8. IBM Garage
The IBM Garage experience
- Experience our innovation spaces
- See first-hand how your business
can be transformed.
- Frame your business issues as
opportunities to test.
- Validate as a path to business
transformation.
MVP
Build-up
- Align your business and technical
leadership around your big idea.
- Define your vision before turning
it into reality.
- Outline how you will measure
success establish your
hypothesis.
- Test your hypothesis and measure
real minimum viable product (MVP)
outcomes against your goals.
- Rapidly iterate on your chosen idea
to build production-ready code you
can use.
IBM Garage Visit with
Initial Framing Session
Design Thinking
Workshop
8
11. 11
“Having the confidence to just flip the switch
really came out of the whole project from the
beginning. This was a unique opportunity for
us to embed the business side with the
technology team.”
Julie Rath
Managing Director, Customer Service Recovery
American Airlines
“This innovation experience with Design
Thinking and Minimum Viable Product, and
being able to build an ecosystem in the IBM
Cloud in a six-week period has changed
everything.”
Carol Poulsen
Executive Vice-President & Chief Information Officer
The Co-Operators
Click to watch
American Airlines
video story
Click to watch
The Co-Operators
video story
12. IBM Garage
12
Using the IBM Garage Method for
Cloud, the IBM Garage team spent a
week interviewing contractors in the
field, then led a Design Thinking
Workshop for Mueller’s leadership
team at the IBM Garage in Austin.
In eight weeks, Mueller and the
IBM Garage built a minimum
viable product (MVP): an app, built
on the IBM Cloud, that allowed
contractors to submit building
specifications and instantly receive a
guaranteed pricing quote.
The MVP was tested with
contractors, and 82 percent
reported they would use the app at
least once per week. Immediately
after going live on the IBM Cloud,
orders started coming in and
Mueller’s contractors got back to
doing what they do best: building
clients’ dreams.
As Mueller, Inc., a manufacturer and retailer of steel
building products in the United States, watched sales
skyrocket, its contractors were stretched thin —
ordering from Mueller buried them in paperwork.
To minimize the time contractors spent on
administrative tasks and gain consensus on a
solution, Mueller partnered with the IBM Garage
because it offers expertise in deep data, cloud and
strategic workshops.
13. IBM Garage
13
In an IBM Design Thinking
workshop, XComP and IBM Garage
experts used the IBM Garage
Method for Cloud to evaluate the
XComP system. The team focused
on user-centered design and agile
development to discover a better
application architecture on IBM
Cloud.
The IBM Garage and XComP built a
minimum viable product (MVP) on
IBM Cloud, separating the system
into microservices with analytics
capabilities. During its successful
modernization of the platform, the
team also discovered a hierarchy of
MVPs that it could build in the future.
XComP now uses thousands of
pieces of data, including previously
unused data, to better predict
student performance and improve
the educational ecosystem.
XComP plans to continue
partnering with the IBM Garage to
realize the full potential of the
discoveries made during the
engagement.
XComP Analytics, Inc., a technology startup company,
was formed to commercialize an app developed by East
Carolina University. Its XComP (eXtensible
Competencies Platform) system helps assess student
outcomes by generating real-time evaluations.
XComP was concerned its assessment system was
throwing away usable data. In addition, XComP
needed to modernize its original concept into a
common platform to enhance data insights and
reporting, but didn’t know where to start.
14. IBM Garage
14
Following the IBM Garage Method
for Cloud, the IBM Garage team in
Melbourne and DXC worked on a
minimum viable product (MVP) using
IBM SPSS software and the IBM
Watson Studio platform to analyze
10 years of data from workers’
compensation claims.
To predict an injured employee’s
time away from work, the team
deployed models on the IBM Cloud
through the IBM Watson Machine
Learning service, and used IBM
Db2 software to generate an injury’s
most likely treatment plan and cost.
After a four-week MVP build, DXC
Xchanging confirmed that with a
predictive confidence around 80
percent, the IBM solution provided
ample value to justify pursing a pilot
of the solution and extending it to
other insurance applications.
Overseeing up to 5,000 insurance claims a year for
the Victoria, Australia government, DXC Xchanging, a
business process service provider, wanted to help
injured employees get better and return to work sooner.
DXC Xchanging partnered with the IBM Garage to help
design a solution that allows case managers to triage
claims, identify risky claims, focus resources and tailor
services to the injured workers who need extra support.
15. IBM Garage
Find us
worldwide
15
San Francisco Nice New York Tokyo Austin
Copenhagen Munich Raleigh Madrid São Paulo
Dubai Melbourne Singapore Toronto London
Connect
with us
ibm.com/garage
garage@us.ibm.com
Visit
Chat
16.
17. IBM Garage
17
Let the IBM Garage Method for Cloud
elevate the way you work.
Use the IBM Garage
Method for Cloud
to enable business,
development, and
operations to
continuously design,
deliver, and validate
new function.
The Method combines
best of class industry
methods, plus our own
deep experience and
IBM methods,
informed by thousands
of client engagements.
Enterprise Design
Thinking
Focus on user outcomes
Empower diverse teams
Reinvent restlessly
Lean
Startup
Test assumptions
Define a hypothesis
Develop a Minimum Viable
Product (MVP)
Measure success
Continuously collect feedback
Cloud Native
Practices
Adopt DevOps
Develop collaboratively
Apply Pair Programming
Use Test Driven
(TDD)
Continuously deploy code
