Keynote presentation at the International Society for Professional Iinnovation Management in Singapore, December 2014. University technology transfer needs a total rethink.. a proposed model to put value creation at the heart of engagement rather than IP control. After all, if universities don't exist to faciltate knowledge diffusion why are we here??
Envisioning the Future with Teams Bogged in the Past - anthonydpaul - UXD Chi...Anthony D. Paul
As designers and visionaries, our job is to explore what's possible for tomorrow, within domain spaces that aren't our own. We're pressured to discover answers to questions we don't know to ask and the quality of our concepts and recommendations are only as strong as the problem details we're able to uncover.
This is where our subject matter experts—end users, project leads, and domain space veterans—are both valuable and hindering. We know we need what's in their brains, but they're blinded by today and yesterday. "We've always done it this way," is the default barrier from ease-of-use and progress.
In this talk, Anthony will share by example, how his team is innovating in a space that's literally hundreds of years old (the railroad), to help preserve and advance a people and culture being threatened by new technologies. He'll expose some of the workshop facilitation techniques he'd used to get fresh and open-minded ideas out of the most pessimistic of participants—to maximize your understanding of the mega (and not so mega) design problems you're grappling with every day.
Keynote presentation at the International Society for Professional Iinnovation Management in Singapore, December 2014. University technology transfer needs a total rethink.. a proposed model to put value creation at the heart of engagement rather than IP control. After all, if universities don't exist to faciltate knowledge diffusion why are we here??
Envisioning the Future with Teams Bogged in the Past - anthonydpaul - UXD Chi...Anthony D. Paul
As designers and visionaries, our job is to explore what's possible for tomorrow, within domain spaces that aren't our own. We're pressured to discover answers to questions we don't know to ask and the quality of our concepts and recommendations are only as strong as the problem details we're able to uncover.
This is where our subject matter experts—end users, project leads, and domain space veterans—are both valuable and hindering. We know we need what's in their brains, but they're blinded by today and yesterday. "We've always done it this way," is the default barrier from ease-of-use and progress.
In this talk, Anthony will share by example, how his team is innovating in a space that's literally hundreds of years old (the railroad), to help preserve and advance a people and culture being threatened by new technologies. He'll expose some of the workshop facilitation techniques he'd used to get fresh and open-minded ideas out of the most pessimistic of participants—to maximize your understanding of the mega (and not so mega) design problems you're grappling with every day.
The engineering design process is a methodical series of steps that engineers use in creating functional products and processes. The process is highly iterative - parts of the process often need to be repeated many times before another can be entered - though the part(s) that get iterated and the number of such cycles in any given project may vary.
It is a decision-making process (often iterative) in which the basic sciences, mathematics, and engineering sciences are applied to convert resources optimally to meet a stated objective.
10 Steps of Engineering Design Process are :
1) Identifying the problem.
2) Defining Working Criteria and Goals.
3) Researching and Gathering Data.
4) Brainstorming and Generating Creative Ideas.
5) Analyzing Potential Solutions.
6) Developing and Testing Models
7) Making the Decision.
8) Communicating and Specifying.
9) Implementing and Commercializing.
10) Post-Implementation Review and Assessment.
Note :
I have copied the written material (of the PPT) from http://www.asfa.k12.al.us/ourpages/auto/2014/8/25/41576897/Engineering%20Design%20Process%20-%2010%20stages%20-%20PRESENT%20THIS.pdf and then just made it looked more beautiful, for my presentation in college.
A Changing Model: Moving technologies from research to applicationsPARC, a Xerox company
What has to change in the lab-to-market model when there is disruptive change in technologies or markets, such as that now being driven by flexible electronics?
Typical lab-to-market models using primarily internal resources can respond well to incremental market or technology changes, and can also be optimized for rapid development cycles. However, they do NOT handle major disruptions in markets or technologies because too many pieces of the ecosystem have to change simultaneously.
Based on PARC's experience across a range of technologies and industries which has resulted in over 30 new businesses, Mark Bernstein, CEO of PARC, shares some lessons learned and recommendations for addressing the challenges raised by disrupted lab-to-market ecosystems.
This presentation covers: (1) how companies can create an early warning system, bring in outside expertise/ open innovation partners, and position themselves flexibly for new near- and long-term opportunities; (2) specific case studies; and (3) PARC’s view of the ecosystem framework for developing products based on flexible electronics.
Date : 7 Aug 2017
Subject: SD2464 Studio 1- Process/ Brand ( Product Design)
This course provides an introduction to the practice of industrial design, focusing on a single comprehensive industrial design project, specified by the instructor. Students will produce a complete product design with research, concept sketches and presentation renderings, mockups and study models, technical layouts, and final appearance model. Project focus is on establishing design methodology and product development process with brand and process as central issues. This subject introduces students to the concepts of product-branding and building product identity, relating it to the notion of product semantics and its application in industrial design.
A Novel Design Approach for Electronic Equipment - FEA Based MethodologyHCL Technologies
This paper describes the design approach established to study and simulate the vibration behavior of electronic products and provide good correlation between test data and FE simulation through a well calibrated analytical model. This established and validated approach/methodology has been practically implemented in various real time projects for various HCL clients, thereby eliminating/minimizing the actual hardware testing and prototyping efforts resulting in a significant reduction in turnaround time, increased product cost savings and improved productivity.
A brief introduction about the semiconductor industry development in Korea, Taiwan and Singapore, and the impact of different strategies on the entrepreneur spirit of the engineers in the local semiconductor industry.
The engineering design process is a methodical series of steps that engineers use in creating functional products and processes. The process is highly iterative - parts of the process often need to be repeated many times before another can be entered - though the part(s) that get iterated and the number of such cycles in any given project may vary.
It is a decision-making process (often iterative) in which the basic sciences, mathematics, and engineering sciences are applied to convert resources optimally to meet a stated objective.
10 Steps of Engineering Design Process are :
1) Identifying the problem.
2) Defining Working Criteria and Goals.
3) Researching and Gathering Data.
4) Brainstorming and Generating Creative Ideas.
5) Analyzing Potential Solutions.
6) Developing and Testing Models
7) Making the Decision.
8) Communicating and Specifying.
9) Implementing and Commercializing.
10) Post-Implementation Review and Assessment.
Note :
I have copied the written material (of the PPT) from http://www.asfa.k12.al.us/ourpages/auto/2014/8/25/41576897/Engineering%20Design%20Process%20-%2010%20stages%20-%20PRESENT%20THIS.pdf and then just made it looked more beautiful, for my presentation in college.
A Changing Model: Moving technologies from research to applicationsPARC, a Xerox company
What has to change in the lab-to-market model when there is disruptive change in technologies or markets, such as that now being driven by flexible electronics?
Typical lab-to-market models using primarily internal resources can respond well to incremental market or technology changes, and can also be optimized for rapid development cycles. However, they do NOT handle major disruptions in markets or technologies because too many pieces of the ecosystem have to change simultaneously.
Based on PARC's experience across a range of technologies and industries which has resulted in over 30 new businesses, Mark Bernstein, CEO of PARC, shares some lessons learned and recommendations for addressing the challenges raised by disrupted lab-to-market ecosystems.
This presentation covers: (1) how companies can create an early warning system, bring in outside expertise/ open innovation partners, and position themselves flexibly for new near- and long-term opportunities; (2) specific case studies; and (3) PARC’s view of the ecosystem framework for developing products based on flexible electronics.
Date : 7 Aug 2017
Subject: SD2464 Studio 1- Process/ Brand ( Product Design)
This course provides an introduction to the practice of industrial design, focusing on a single comprehensive industrial design project, specified by the instructor. Students will produce a complete product design with research, concept sketches and presentation renderings, mockups and study models, technical layouts, and final appearance model. Project focus is on establishing design methodology and product development process with brand and process as central issues. This subject introduces students to the concepts of product-branding and building product identity, relating it to the notion of product semantics and its application in industrial design.
A Novel Design Approach for Electronic Equipment - FEA Based MethodologyHCL Technologies
This paper describes the design approach established to study and simulate the vibration behavior of electronic products and provide good correlation between test data and FE simulation through a well calibrated analytical model. This established and validated approach/methodology has been practically implemented in various real time projects for various HCL clients, thereby eliminating/minimizing the actual hardware testing and prototyping efforts resulting in a significant reduction in turnaround time, increased product cost savings and improved productivity.
A brief introduction about the semiconductor industry development in Korea, Taiwan and Singapore, and the impact of different strategies on the entrepreneur spirit of the engineers in the local semiconductor industry.
ML Products have become a prolific and integral part of taking the insights of Data Science from theory to reality. Oddly though, the path from conception to implementation is often unclear with seemingly few similar examples to work from. The result is often a sea of agony between sliding deadlines, heroic efforts of people working though unforeseen challenges and haphazard innovation. Each time a beautiful model makes its impact on the business bottom line, something worked. In this talk we present the ML Playbook. It pulls together the best aspects from a variety of successful ML Product launches into a cohesive strategy to Plan, Build, Test, Learn, and Release ML Products. We'll demonstrate the ML Playbook in action with the story of launching an alert monitoring product for the world's most powerful jet engines, the GE90-115B.
Technology, especially IT has affected our lives. Various activities are getting streamlined due to IT. The world today is characterized by powerful IT, forces of collaboration and digitization.
The Challenges Of, And Advantages In, Establishing A Consistent Architectural...Tim Eyres
Describes the challenges and benefits of having a consistent enterprise architecture framework within a global pharma research organization with examples from different industries.
bringing design to life with lean ux & lean engineering - Lean Day West 2013Bill Scott
What does a good Lean UX working rhythm look like for designers & engineers? In this workshop, Bill & one of his design partners at PayPal, Cody Evol, will guide you through this experience. A set of principles, patterns (and anti-patterns), best practices, technologies & tools will be explored in this hands-on workshop leaving you with a clear understanding of how to mesh prototype & production.
Dr. June Andrews, Principal Data Scientist, Wise.io, From GE Digital at MLcon...MLconf
Counter Intuitive Machine Learning for the Industrial Internet of Things:
The Industrial Internet of Things (IIoT) is the infrastructure and data flow built around the world’s most valuable things like airplane engines, medical scanners, nuclear power plants, and oil pipelines. These machines and systems require far greater uptime, security, governance, and regulation than the IoT landscape based around consumer activity. In the IIoT the cost of being wrong can be the catastrophic loss of life on a massive scale. Nevertheless, given the growing scale through the digitalization of industrial assets, there is clearly a growing role for machine learning to help augment and automate human decision making. It is against this backdrop that traditional machine learning techniques must be adapted and need based innovations created. We see industrial machine learning as distinct from consumer machine learning and in this talk we will cover the counterintuitive changes of featurization, metrics for model performance, and human-in-the-loop design changes for using machine learning in an industrial environment.
Bio: June Andrews is a Principal Data Scientist at Wise.io, From GE Digital working on a machine learning and data science platform for the Industrial Internet of Things, which includes aviation, trains, and power plants. Previously, she worked at Pinterest spearheading the Data Trustworthiness and Signals Program to create a healthy data ecosystem for machine learning. She has also lead efforts at LinkedIn on growth, engagement, and social network analysis to increase economic opportunity for professionals. June holds degrees in applied mathematics, computer science, and electrical engineering from UC Berkeley and Cornell.
Counter Intuitive Machine Learning for the Industrial Internet of ThingsJune Andrews
The Industrial Internet of Things (IIoT) is the infrastructure and data flow built around the world’s most valuable things like airplane engines, medical scanners, nuclear power plants, and oil pipelines. These machines and systems require far greater uptime, security, governance, and regulation than the IoT landscape based around consumer activity. In the IIoT the cost of being wrong can be the catastrophic loss of life on a massive scale. Nevertheless, given the growing scale through the digitalization of industrial assets, there is clearly a growing role for machine learning to help augment and automate human decision making. It is against this backdrop that traditional machine learning techniques must be adapted and need based innovations created.
Forms 2 Future - the ongoing journey into the future for Oracle based organiz...Lucas Jellema
Many organizations around the world have adopted Oracle technology for developing custom applications. Over the past two decades, they may have used PL/SQL, Reports, Forms, Designer, Portal or the Web PL/SQL Toolkit. Many of these organizations have come to face new challenges: more agility or functionality, new user groups or channels or more efficient maintenance. Or they fear getting stuck in the past, running out of support or qualified and motivated resources. What is the right way to approach the future? What mix of tools, how and when to adopt which new technology, how to build a business case? This session recounts various more and less successful warstories of organizations that embarked on a journey into the future.
We will discuss SOA, ADF, OSB, WebCenter, SaaS, Forms, WebLogic, .NET, Java and much more.
MES Thesis - Ontology & Canvas for Strongly Sustainable Business Models - Ora...Antony Upward
The presentation made at the successful defense of my graduate thesis "Towards an Ontology and Canvas for Strongly Sustainable Business Models: A Systemic Design Science Exploration.
For a brief intro see http://easyurl.net/About_SSBMC_in_3_mins_Prezi; for more see http://www.SSBMG.com.
Full text will be available at http://hdl.handle.net/10315/20777 after ~Aug 30, 2013.
Part of my Masters of Environmental Studies in Business Model Design and Sustainability + Graduate Diploma in Business and the Environment at York University's Faculty of Environmental Studies and Schulich School of Business.
Presentation held at COMS2013 in Enschede introducing the challgenges in MEMS development collaboration, the MIG TDP template and the CORONA collaboration approach.
Differing Approaches to Industry-University Engagementegiegerich
Differing Approaches to Industry-University Engagement -- A Panel Introduction and Presentation at the University Industry Demonstration Partnership meeting, December 2-4, 2008, at National Academy of Sciences, Washington, DC
Formulate the right questions, analyse the aim of a technology development, get direct answers from trusted sources, compare it to the patent landscape. Let your engineers think better and dare.
There are many models for engaging in corporate venturing and innovation. But how can we expand the models we think of when we think of "strategic partnerships"? And what practices can we engage in so these initiatives aren't conducted as isolated engagements but as ones that can centrally influence the business? Drawing on lessons learned and experiences from PARC today, CEO Steve Hoover will share cases and specific innovation practices we can engage in, particularly for moving ideation to impact, optimizing for timing especially under uncertainty, and for influencing the entire organization.
PARC presented this talk during the "Innovation Storytelling: Nurturing The Seeds of Innovation, Case Study Illustrations" segment at the IBF Corporate Venturing and Innovation Partnering conference on February 7, 2012.
Attended by corporate investors, new business development executives, venture capitalists, private equity investors, mergers & acquisition executives, institutional investors, technology transfer experts, licensing executives, investment bankers, corporate counsel, as well as CTOs, CIOs, CEOs and CFOs of emerging growth companies, this annual International Business Forum event shares strategies to gain a competitive advantage through corporate venturing and innovation initiatives. Over two days, attendees will have an opportunity to share B2B alliance models, investment approaches, strategies to capture technology innovation from external sources, and insights on ways to enhance their corporate venturing initiatives.
Building RAG with self-deployed Milvus vector database and Snowpark Container...Zilliz
This talk will give hands-on advice on building RAG applications with an open-source Milvus database deployed as a docker container. We will also introduce the integration of Milvus with Snowpark Container Services.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
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.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
20 Comprehensive Checklist of Designing and Developing a WebsitePixlogix Infotech
Dive into the world of Website Designing and Developing with Pixlogix! Looking to create a stunning online presence? Look no further! Our comprehensive checklist covers everything you need to know to craft a website that stands out. From user-friendly design to seamless functionality, we've got you covered. Don't miss out on this invaluable resource! Check out our checklist now at Pixlogix and start your journey towards a captivating online presence today.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
20240609 QFM020 Irresponsible AI Reading List May 2024
Isca needle a_0610
1. Moving the NeedleComputer Architecture Research in Academe and Industry Bill Dally Chief Scientist & Sr. VP of Research, NVIDIA Bell Professor of Engineering, Stanford University
2. Outline The Research Funnel Most ideas fail Those that succeed take 5-10 years The Research Formula Constraints The Academic Advantage The Industrial Advantage Startups Best practices
41. The Industrial Advantage Resources to carry out detailed studies Experience to address commercial constraints
42. The ideal partnership: Academic research 5-10 years out, focused on industry problems Transfer insight to industrial research to refine into product Concept Dev Model Eval Dev
43. What transfers is insight Not academic design Not performance numbers
86. Much easier to license technology to an existing company
87. Starting a company to bring a new semiconductor product to market costs $30M (to cash flow positive) If it’s a programmable processor, its $70M Investors want a 10x ROI Need to see a $700M exit to justify a new processor company
97. Solution involves many levels of the “stack” Application Algorithm Prog. System Compiler ISA uArch Too constrained to innovate within one layer Design Circuits Process
99. Moving the NeedleComputer Architecture Research in Academe and Industry Bill Dally Chief Scientist & Sr. VP of Research, NVIDIA Bell Professor of Engineering, Stanford University