Lecture on thinking about business concepts from the perspective of an engineer. I focus on clearly scoping business questions into 3 contexts and discussing methods for thinking about business concepts at each level.
July 12, 2017. Odessa, Ukraine.
First Draft Slides and first public presentation of this material. Hopefully more to come.
A brief introduction to Enterprise and Industrial UXLarry Burks
Presented for the Albany UX Meetup on Oct 4, 2016 at GE Global Research Center in Niskayuna, NY.
EUX is different from consumer focused UX. My observations on practicing EUX and hiring EUX professionals.
Lean Usability for Startups: usability and user experience techniques to help startups create better experiences with lean budgets.
Concludes with 12 Lean Usability Principles
Usability Testing for Developers with No BudgetAshley Dzick
Usability testing is a fantastic way to get customer feedback and easy enough to execute that anyone can do it. At this session we'll walk through a very quick introduction to testing, how to test (even with a budget of $0), and run through some case studies of successful tests. Attend the workshop if you’re looking to gather meaningful feedback, develop front-end facing applications, work alongside a UX team, or you’re just interested in learning more.
Lecture on thinking about business concepts from the perspective of an engineer. I focus on clearly scoping business questions into 3 contexts and discussing methods for thinking about business concepts at each level.
July 12, 2017. Odessa, Ukraine.
First Draft Slides and first public presentation of this material. Hopefully more to come.
A brief introduction to Enterprise and Industrial UXLarry Burks
Presented for the Albany UX Meetup on Oct 4, 2016 at GE Global Research Center in Niskayuna, NY.
EUX is different from consumer focused UX. My observations on practicing EUX and hiring EUX professionals.
Lean Usability for Startups: usability and user experience techniques to help startups create better experiences with lean budgets.
Concludes with 12 Lean Usability Principles
Usability Testing for Developers with No BudgetAshley Dzick
Usability testing is a fantastic way to get customer feedback and easy enough to execute that anyone can do it. At this session we'll walk through a very quick introduction to testing, how to test (even with a budget of $0), and run through some case studies of successful tests. Attend the workshop if you’re looking to gather meaningful feedback, develop front-end facing applications, work alongside a UX team, or you’re just interested in learning more.
Accessibility Isn’t Enough - Designing Digital Properties to be Usable and Ac...UserZoom
Whether it’s cognitive, audial, visual or tactile, designing a digital experience that’s as pleasing for people with disabilities as for those without can seem like a daunting issue. Learn more about the how’s and why’s of designing and testing for accessibility.
Informed & Agile: Test Driven Design w/ Jon InnesUserZoom
Do you find yourself sprinting without a clear direction? Pushing feature after feature out, only to wonder if your app or website is really getting better? Join Jon Innes of UX Innovation in a webinar on-demand, where he will discuss how to improve your sprints by incorporating UX/usability metrics that the whole team can use to measure progress on your agile journey as a product team.
Disciplined Entrepreneurship: What can you do for your customer?Elaine Chen
In this class, we will explore how, given a target market and chosen user persona, we can come up with a solution that solves these problems and meets the needs and wants of the customer. We will discuss how to come up with ways to develop high level product concepts that can be tested in the field. We will cover hypothesis testing techniques, including classical quantitative techniques like usability benchmarks as well as modern techniques such as the use of landing pages to test product interest and purchase intent.
Design systems influence order and design and development standards and enable efficiency, consistency, and scale. With planning, training, and teamwork you can achieve adoption of your living, breathing, design system, and remove the information, process and communication friction.
Usability Primer - for Alberta Municipal Webmasters Working GroupNormanMendoza
Presentation provided on December 1, 2006. References:
“A Practical Guide to Usability Testing” by Joseph S. Dumas and Janice C. Redish
The Elements of User Experience, diagram by Jesse James Garrett
In this presentation we explore three transitions that a startup founder goes through as their startup grows and matures:
1) making their first hire
2) transitioning from a doer to a manager
3) transitioning from mostly managing to mostly leading
We explore common management traps and how to avoid them, and also provide practical tactics to help new managers to align, motivate and inspire people and to organize and coordinate work.
In this presentation we explore what personas are, why we build them, and the importance of identifying the right personas to build. We then take you through a real life example of how we used primary market research techniques to build a persona for an enterprise software product.
Your company’s annual user conference: Boon or Bust for UX?Mary Raven
Slides from a Panel discussion that I proposed and moderated at the 2016 Boston User Experience Professional's Association Conference (UXPA). Other panelists were: Serena Doyle, Joanne Hubbard, Chauncey Wilson
Understand people to design great experiences: An introduction to user researchMing Lee
An introduction to user research for those who want to start doing user research or work with researchers. Covers how research can save you time and money, the dimensions of user research, and an overview of research methods. The presentation also includes tips on how to work with researchers and how to ensure your findings have impact on your product or service.
Navigation
Forms
Search, sort & filter
Tools
Invitations
Feedback & Affordance
Anti-Patterns
This presentation has been developed in the context of the Mobile Applications Development course, DISIM, University of L'Aquila (Italy), Spring 2014.
http://www.ivanomalavolta.com
Accessibility Isn’t Enough - Designing Digital Properties to be Usable and Ac...UserZoom
Whether it’s cognitive, audial, visual or tactile, designing a digital experience that’s as pleasing for people with disabilities as for those without can seem like a daunting issue. Learn more about the how’s and why’s of designing and testing for accessibility.
Informed & Agile: Test Driven Design w/ Jon InnesUserZoom
Do you find yourself sprinting without a clear direction? Pushing feature after feature out, only to wonder if your app or website is really getting better? Join Jon Innes of UX Innovation in a webinar on-demand, where he will discuss how to improve your sprints by incorporating UX/usability metrics that the whole team can use to measure progress on your agile journey as a product team.
Disciplined Entrepreneurship: What can you do for your customer?Elaine Chen
In this class, we will explore how, given a target market and chosen user persona, we can come up with a solution that solves these problems and meets the needs and wants of the customer. We will discuss how to come up with ways to develop high level product concepts that can be tested in the field. We will cover hypothesis testing techniques, including classical quantitative techniques like usability benchmarks as well as modern techniques such as the use of landing pages to test product interest and purchase intent.
Design systems influence order and design and development standards and enable efficiency, consistency, and scale. With planning, training, and teamwork you can achieve adoption of your living, breathing, design system, and remove the information, process and communication friction.
Usability Primer - for Alberta Municipal Webmasters Working GroupNormanMendoza
Presentation provided on December 1, 2006. References:
“A Practical Guide to Usability Testing” by Joseph S. Dumas and Janice C. Redish
The Elements of User Experience, diagram by Jesse James Garrett
In this presentation we explore three transitions that a startup founder goes through as their startup grows and matures:
1) making their first hire
2) transitioning from a doer to a manager
3) transitioning from mostly managing to mostly leading
We explore common management traps and how to avoid them, and also provide practical tactics to help new managers to align, motivate and inspire people and to organize and coordinate work.
In this presentation we explore what personas are, why we build them, and the importance of identifying the right personas to build. We then take you through a real life example of how we used primary market research techniques to build a persona for an enterprise software product.
Your company’s annual user conference: Boon or Bust for UX?Mary Raven
Slides from a Panel discussion that I proposed and moderated at the 2016 Boston User Experience Professional's Association Conference (UXPA). Other panelists were: Serena Doyle, Joanne Hubbard, Chauncey Wilson
Understand people to design great experiences: An introduction to user researchMing Lee
An introduction to user research for those who want to start doing user research or work with researchers. Covers how research can save you time and money, the dimensions of user research, and an overview of research methods. The presentation also includes tips on how to work with researchers and how to ensure your findings have impact on your product or service.
Navigation
Forms
Search, sort & filter
Tools
Invitations
Feedback & Affordance
Anti-Patterns
This presentation has been developed in the context of the Mobile Applications Development course, DISIM, University of L'Aquila (Italy), Spring 2014.
http://www.ivanomalavolta.com
[DSC Europe 22] On the Aspects of Artificial Intelligence and Robotic Autonom...DataScienceConferenc1
Autonomy in targeting is a function that could be applied to any intelligent system, in particular the rapidly expanding array of robotic systems, in the air, on land and at sea – including swarms of small robots. This is an area of significant investment and emphasis for many armed forces, and the question is not so much whether we will see more intelligent robots, but whether and by what means they will remain under human control. Today’s remote-controlled weapons could become tomorrow’s autonomous weapons with just a software upgrade. The central element of any future autonomous weapon system will be the software. Military powers are investing in AI for a wide range of applications10 and significant efforts are already underway to harness developments in image, facial and behavior recognition using AI and machine learning techniques for intelligence gathering and “automatic target recognition” to identify people, objects or patterns. Although not all autonomous weapon systems incorporate AI and machine learning, this software could form the basis of future autonomous weapon systems.
Top Business Intelligence Trends for 2016 by Panorama SoftwarePanorama Software
10 top BI trends for 2016 – by Panorama
Its all about the insight
Visual perception rules
The learning suggestive system - AI gets real
The data product chain becomes democratized
Cloud (finally)
“Mobile”
Automated data integration
Interned of things data accelerating into reality
Hadoop accelerators are the last chance for Hadoop
Fading of the centralized on–premise DWH
Advanced Analytics and Data Science ExpertiseSoftServe
An overview of SoftServe's Data Science service line.
- Data Science Group
- Data Science Offerings for Business
- Machine Learning Overview
- AI & Deep Learning Case Studies
- Big Data & Analytics Case Studies
Visit our website to learn more: http://www.softserveinc.com/en-us/
Shared at "Data-Driven Design for User Experience" with Le Wagon Tokyo, 25 Aug
https://www.meetup.com/ja-JP/Le-Wagon-Tokyo-Coding-Station/events/280067831/
In UX design, data means the voice of users (customers) and actionable insights that are beyond just numbers. Hearing these voices through user research and usage analytics is a critical process of building a human-centric design. Based on data-driven design, UX designers, product managers, and even senior management can listen to the inner voice of users and extrapolate those to discover a user journey for clear call-to-action and unwavering customer loyalty.
At this webinar, our guest speaker Emi Kwon, UX Design Director at Metlife, will walk you through the basics of data-driven design as well as share some tips and tricks for making data-driven design your value proposition as a product manager/ UX specialist.
Agenda:
✔️ Data ecosystem — Data lake, data warehouse…what does it mean for UX?
✔️ Small data and big data — the opportunities and pitfalls
✔️ Research method basics — qualitative, quantitative or triangulated
✔️ Usage analytics and A/B testing
✔️ What about COVID-19 and remote usability testing?
Machine learning approaches are of great interest if used smartly in your organization. Machine learning community is open to everyone and hence people can research and share their ideas with other individuals.
The Team Member and Guest Experience - Lead and Take Care of your restaurant team. They are the people closest to and delivering Hospitality to your paying Guests!
Make the call, and we can assist you.
408-784-7371
Foodservice Consulting + Design
Artificial intelligence (AI) offers new opportunities to radically reinvent the way we do business. This study explores how CEOs and top decision makers around the world are responding to the transformative potential of AI.
Senior Project and Engineering Leader Jim Smith.pdfJim Smith
I am a Project and Engineering Leader with extensive experience as a Business Operations Leader, Technical Project Manager, Engineering Manager and Operations Experience for Domestic and International companies such as Electrolux, Carrier, and Deutz. I have developed new products using Stage Gate development/MS Project/JIRA, for the pro-duction of Medical Equipment, Large Commercial Refrigeration Systems, Appliances, HVAC, and Diesel engines.
My experience includes:
Managed customized engineered refrigeration system projects with high voltage power panels from quote to ship, coordinating actions between electrical engineering, mechanical design and application engineering, purchasing, production, test, quality assurance and field installation. Managed projects $25k to $1M per project; 4-8 per month. (Hussmann refrigeration)
Successfully developed the $15-20M yearly corporate capital strategy for manufacturing, with the Executive Team and key stakeholders. Created project scope and specifications, business case, ROI, managed project plans with key personnel for nine consumer product manufacturing and distribution sites; to support the company’s strategic sales plan.
Over 15 years of experience managing and developing cost improvement projects with key Stakeholders, site Manufacturing Engineers, Mechanical Engineers, Maintenance, and facility support personnel to optimize pro-duction operations, safety, EHS, and new product development. (BioLab, Deutz, Caire)
Experience working as a Technical Manager developing new products with chemical engineers and packaging engineers to enhance and reduce the cost of retail products. I have led the activities of multiple engineering groups with diverse backgrounds.
Great experience managing the product development of products which utilize complex electrical controls, high voltage power panels, product testing, and commissioning.
Created project scope, business case, ROI for multiple capital projects to support electrotechnical assembly and CPG goods. Identified project cost, risk, success criteria, and performed equipment qualifications. (Carrier, Electrolux, Biolab, Price, Hussmann)
Created detailed projects plans using MS Project, Gant charts in excel, and updated new product development in Jira for stakeholders and project team members including critical path.
Great knowledge of ISO9001, NFPA, OSHA regulations.
User level knowledge of MRP/SAP, MS Project, Powerpoint, Visio, Mastercontrol, JIRA, Power BI and Tableau.
I appreciate your consideration, and look forward to discussing this role with you, and how I can lead your company’s growth and profitability. I can be contacted via LinkedIn via phone or E Mail.
Jim Smith
678-993-7195
jimsmith30024@gmail.com
Oprah Winfrey: A Leader in Media, Philanthropy, and Empowerment | CIO Women M...CIOWomenMagazine
This person is none other than Oprah Winfrey, a highly influential figure whose impact extends beyond television. This article will delve into the remarkable life and lasting legacy of Oprah. Her story serves as a reminder of the importance of perseverance, compassion, and firm determination.
The case study discusses the potential of drone delivery and the challenges that need to be addressed before it becomes widespread.
Key takeaways:
Drone delivery is in its early stages: Amazon's trial in the UK demonstrates the potential for faster deliveries, but it's still limited by regulations and technology.
Regulations are a major hurdle: Safety concerns around drone collisions with airplanes and people have led to restrictions on flight height and location.
Other challenges exist: Who will use drone delivery the most? Is it cost-effective compared to traditional delivery trucks?
Discussion questions:
Managerial challenges: Integrating drones requires planning for new infrastructure, training staff, and navigating regulations. There are also marketing and recruitment considerations specific to this technology.
External forces vary by country: Regulations, consumer acceptance, and infrastructure all differ between countries.
Demographics matter: Younger generations might be more receptive to drone delivery, while older populations might have concerns.
Stakeholders for Amazon: Customers, regulators, aviation authorities, and competitors are all stakeholders. Regulators likely hold the greatest influence as they determine the feasibility of drone delivery.
6. Types of output and use cases
• Regression – Predicting a numerical value (flight cost, Zillow home price)
• Clustering/Recommendation (Netflix, Spotify, Twitter who-to-follow, Customers also bought.)
• Drive exploration
• Understand users better than they understand themselves – Customized products.
• Anomaly detection/Recommendation (Trending, Most liked tweets, Facebook – your fiends liked, unusual
network traffic)
• Drive engagement
• Reduce complexity
• Event driven rather than user initiated.
• Classification – What kind of thing something is (face recognition, fraud detection).
• Back end. Cost reduction.
• User assisted actions (Google email response) and tagging
• Visual search, Audio search
• Dimensionality reduction
• Text synopsis
Frequently done activities or lots of data: If a typical person can do a mental task with less than one second of
thought, we can probably automate it using AI either now or in the near future. (e.g. Security video scanning)
9. Reframe as a prediction problem
• Can this be framed as a prediction problem?
• Cost of prediction will fall.
• E.g. Driving
• Breakdown of human activity
• Data
• Prediction
• Judgement
• Action
• Outcomes
https://hbr.org/2016/11/the-simple-economics-of-machine-intelligence
10. Hide the workflow/There’s no accounting for
taste.
• Teach me how to draw a picture
• Is it hard to break down this task into repeatable steps?
• Driving
• Drawing a picture
• Personalization
11. Simple and repetitive
Can now manage complex multimedia data
• Video
• Picture
• Audio
• Sensors – Apple watch, iPhone, etc.
12. Lookup – expanded memory
• QR Code
• What is this bug?
• What’s that song – Shazam
• Inventory
• Translation
14. Two more sensors – recognize and classify
• Visual Search - Computer has eyes .
• Auditory Search – Computer has
ears.
• Data capture and conversion.
• People are more willing to share
vision and audio if computerized
15. Cheap to create content
• Write articles
• Create images from text
• Create photos from sketches (animation)
• Create music
• Create audio with speech patterns
16. Optimize complex behavior
• Have you given up on a problem before?
• Route finding
• Coordinating multiple people, cars, resources
19. How should product managers respond?
• Data
• UX
• Choose/Understand the generated model.
• Leverage existing solutions
20. Role of Product Managers changes
• Own the data. Data as a product.
• Cost of labelling
• Completeness
• Accuracy
• Rare Cases (identifying digits vs. identifying
cancers)
• Unbalanced cost of misclassification
• Parallels to UX.
• Start collecting data. Users are more likely
to provide data if machine processed than
person-processed.
• AI is only as good as the data.
21. User interfaces
- Event driven/Notifications
- When ___ then ____
- Voice, Visual, Audio
- User assist through complexity.
- Haptic response
22. User interface
• Why weekly?
• Should it be an infinite
list?
• Store previous discovers?
23. Considerations – understanding the model
• Understand why and how a model can make wrong predictions
• Explain why something is recommended (better received)
• Linear models
• Decision trees
• Clustering
• How could the product fail catastrophically (pregnancy, racism)
• Loss weighting
25. Do you really need AI/ML?
• Collect data
• Use heuristics
• Top downloads
• Cheapest
• Most popular
• How accurate is your baseline? If > 75% and not a core feature, don’t
machine learn.
• Generate one insight a week, rather than instant. (email newsletter,
rather than right now)
Netflix prize: One of the teams spent more than
2000 hours of work to deliver 8.43% improvement