Solving technical challenges
•Download as PPTX, PDF•
0 likes•382 views
This document outlines Dr. Moti Margalit's approach to solving technical challenges. It discusses framing constraints, identifying solutions through methods like TRIZ and brainstorming, building an infrastructure of people, labs and industry relations, assembling a coordinated team with a plan involving measurable milestones, and providing an example of a successful feasibility study and product development. The overall approach emphasizes properly defining problems, leveraging existing frameworks, planning iterations to create confidence in solutions, and encouraging boundary-pushing research.
Report
Share
Report
Share
Recommended
Imrul: Context Driven Testing
Context-driven testing is a software testing methodology that focuses on tailoring testing objectives, techniques, and documentation to the specific context of each project situation. The context includes factors like the people involved, goals, resources, and timelines. The key principles of context-driven testing are that practices depend on context, there are no universally best practices, collaboration is important, projects evolve unpredictably, products must solve problems, testing is challenging intellectual work, and effective testing requires judgment tailored to each context. Context-driven testing contrasts with approaches that focus first on standardized practices or documentation over project-specific needs.
1. solution design 1 design sprint
The document describes a Design Sprint workshop that takes place over 5 days to create, design, prototype, and test a new idea. The Design Sprint involves 6 parts: 1) Identifying the user and mapping out their problem, 2) Sketching competing solutions on paper, 3) Making difficult decisions and turning ideas into a testable hypothesis, 4) Hammering out a realistic prototype, 5) Testing the prototype with real users, and 6) Demonstrating and celebrating the results. The example problem provided is making it easier to buy hats and glasses virtually while ensuring they look good.
The two largest project killers
This document discusses two major project killers - fear and complexity. It examines different types of fears that can undermine projects from customers, suppliers, project managers, and teams. These fears often lead to poor decisions if not addressed. The document also discusses how complexity is difficult to predict and that the traditional models of analyzing and planning everything upfront don't work for complex projects. It advocates for iterative and collaborative approaches like agile, PRINCE2, and Scrum which embrace uncertainty, learning, and small incremental steps to better handle complexity. The conclusion is that projects are more successful when the ability to learn is enhanced through collaboration, accepting uncertainties, and proving assumptions quickly.
Promise 2011: Panel - "Practical Software Project Improvements using Actionab...
Promise 2011:
Panel - "Practical Software Project Improvements using Actionable Predictive Models and Solutions"
Jacky Keung.
Design talk
This document discusses design challenges for cybersecurity products. It notes that many security products are designed by engineers and focus more on technical functionality than user experience. This can lead to products with inconvenient or confusing interfaces. The document advocates for giving design equal priority to technical aspects in security products. It provides examples of how poor user experience, like generating too many alerts or making multi-factor authentication annoying, can reduce security by causing users to disable protections. The document concludes that great design can differentiate enterprise security products and actually make the online world safer by enabling usability of security mechanisms.
Shrini Kulkarni - Software Metrics - So Simple, Yet So Dangerous
EuroSTAR Software Testing Conference 2009 presentation on Software Metrics - So Simple, Yet So Dangerous by Shrini Kulkarni. See more at conferences.eurostarsoftwaretesting.com/past-presentations/
Michał Stryjak, Poznaj Context-Driven Testing
Prezentacja z ósmego spotkania z cyklu Quality Meetup.
Autor: Michał Stryjak (QA Manager, PiLab SA)
Przez wiele lat ludzie starali się wskazać niezawodne podejście do testowania. Nasz Gość uczestniczył w wielu dyskusjach dotyczących wyższości jednej metody nad drugą, które zwykle sprowadzały się do poszukiwania odpowiedzi na pytanie, czy jakaś konkretna praktyka zmieni świat testów na zawsze.
Już wiele lat temu Cem Kaner zauważył, że najlepsze praktyki głoszone przez jego kolegów wykładowców nie zawsze sprawdzają się dobrze w rzeczywistości. Często obserwował jak procesy i narzędzia stosowane z powodzeniem, np. w startupach, nie sprawdzają się w bankach lub branży medycznej (i vice versa). Z biegiem lat Cem doszedł do wniosku, że coraz więcej osób ma podobne spostrzeżenia dotyczące najlepszych praktyk. Ludzie podzielający jego poglądy (najbardziej znani to James Bach i Bret Pettichord) twierdzą, że aby móc testować dobrze, najpierw trzeba uwzględnić i przeanalizować kontekst. Ich idee znalazły odwzorowanie w siedmiu zasadach, które dzisiaj stanowią podstawę podejścia Context-Driven Testing (CDT). Na spotkaniu Michał opowie nam o podstawach CDT oraz podzieli się pomysłami, jak można wdrażać wspomniane siedem zasad w życie.
Design Sprints
Design Sprints are a framework pioneered by IDEO, Stanford's d.school, and Google Ventures to solve big design challenges in 5 days or less. It involves a multi-disciplinary team that defines the problem, generates many solutions, converges on a top solution to prototype, and tests the prototype with users. The process is iterative, with learnings applied to further refine solutions.
Recommended
Imrul: Context Driven Testing
Context-driven testing is a software testing methodology that focuses on tailoring testing objectives, techniques, and documentation to the specific context of each project situation. The context includes factors like the people involved, goals, resources, and timelines. The key principles of context-driven testing are that practices depend on context, there are no universally best practices, collaboration is important, projects evolve unpredictably, products must solve problems, testing is challenging intellectual work, and effective testing requires judgment tailored to each context. Context-driven testing contrasts with approaches that focus first on standardized practices or documentation over project-specific needs.
1. solution design 1 design sprint
The document describes a Design Sprint workshop that takes place over 5 days to create, design, prototype, and test a new idea. The Design Sprint involves 6 parts: 1) Identifying the user and mapping out their problem, 2) Sketching competing solutions on paper, 3) Making difficult decisions and turning ideas into a testable hypothesis, 4) Hammering out a realistic prototype, 5) Testing the prototype with real users, and 6) Demonstrating and celebrating the results. The example problem provided is making it easier to buy hats and glasses virtually while ensuring they look good.
The two largest project killers
This document discusses two major project killers - fear and complexity. It examines different types of fears that can undermine projects from customers, suppliers, project managers, and teams. These fears often lead to poor decisions if not addressed. The document also discusses how complexity is difficult to predict and that the traditional models of analyzing and planning everything upfront don't work for complex projects. It advocates for iterative and collaborative approaches like agile, PRINCE2, and Scrum which embrace uncertainty, learning, and small incremental steps to better handle complexity. The conclusion is that projects are more successful when the ability to learn is enhanced through collaboration, accepting uncertainties, and proving assumptions quickly.
Promise 2011: Panel - "Practical Software Project Improvements using Actionab...
Promise 2011:
Panel - "Practical Software Project Improvements using Actionable Predictive Models and Solutions"
Jacky Keung.
Design talk
This document discusses design challenges for cybersecurity products. It notes that many security products are designed by engineers and focus more on technical functionality than user experience. This can lead to products with inconvenient or confusing interfaces. The document advocates for giving design equal priority to technical aspects in security products. It provides examples of how poor user experience, like generating too many alerts or making multi-factor authentication annoying, can reduce security by causing users to disable protections. The document concludes that great design can differentiate enterprise security products and actually make the online world safer by enabling usability of security mechanisms.
Shrini Kulkarni - Software Metrics - So Simple, Yet So Dangerous
EuroSTAR Software Testing Conference 2009 presentation on Software Metrics - So Simple, Yet So Dangerous by Shrini Kulkarni. See more at conferences.eurostarsoftwaretesting.com/past-presentations/
Michał Stryjak, Poznaj Context-Driven Testing
Prezentacja z ósmego spotkania z cyklu Quality Meetup.
Autor: Michał Stryjak (QA Manager, PiLab SA)
Przez wiele lat ludzie starali się wskazać niezawodne podejście do testowania. Nasz Gość uczestniczył w wielu dyskusjach dotyczących wyższości jednej metody nad drugą, które zwykle sprowadzały się do poszukiwania odpowiedzi na pytanie, czy jakaś konkretna praktyka zmieni świat testów na zawsze.
Już wiele lat temu Cem Kaner zauważył, że najlepsze praktyki głoszone przez jego kolegów wykładowców nie zawsze sprawdzają się dobrze w rzeczywistości. Często obserwował jak procesy i narzędzia stosowane z powodzeniem, np. w startupach, nie sprawdzają się w bankach lub branży medycznej (i vice versa). Z biegiem lat Cem doszedł do wniosku, że coraz więcej osób ma podobne spostrzeżenia dotyczące najlepszych praktyk. Ludzie podzielający jego poglądy (najbardziej znani to James Bach i Bret Pettichord) twierdzą, że aby móc testować dobrze, najpierw trzeba uwzględnić i przeanalizować kontekst. Ich idee znalazły odwzorowanie w siedmiu zasadach, które dzisiaj stanowią podstawę podejścia Context-Driven Testing (CDT). Na spotkaniu Michał opowie nam o podstawach CDT oraz podzieli się pomysłami, jak można wdrażać wspomniane siedem zasad w życie.
Design Sprints
Design Sprints are a framework pioneered by IDEO, Stanford's d.school, and Google Ventures to solve big design challenges in 5 days or less. It involves a multi-disciplinary team that defines the problem, generates many solutions, converges on a top solution to prototype, and tests the prototype with users. The process is iterative, with learnings applied to further refine solutions.
Rikard Edgren - Testing is an Island - A Software Testing Dystopia
This document summarizes trends in software testing that could diminish its effectiveness and enjoyment. It notes an increasing focus on verification over validation, precise measurement over subjective judgement, and short-term metrics over long-term quality. This narrowing scope risks making testers isolated and limiting their creativity, motivation and ability to consider the full context of a project. The document advocates a holistic and subjective approach that considers people and intangible factors, not just short-term quantifiable results. Subjectivity and considering the whole system, not just parts, are presented as useful for testing.
Test & evaluation = the knowledge factory
Test & Evaluation (T&E) is presented in the prespective of knowledge creation, distribution, absorbtion and management. Possible "soft tools" are derived from the insight of the sciences of learning and knowledge management.
Defining Test Competence
In this article I explore the concept of test competence, and how it is connected to complex problems.
Gustav Olsson - Agile - Common Sense with a New Name Tag revised
EuroSTAR Software Testing Conference 2009 presentation on Agile - Common Sense with a New Name Tag revised by Gustav Olsson. See more at conferences.eurostarsoftwaretesting.com/past-presentations/
Context driven tester
The document discusses context driven testing, which focuses on 7 principles: 1) the value of practices depends on context, 2) there are good practices in context but no best practices, 3) people are most important, 4) projects change unpredictably, 5) products must solve problems, 6) testing is challenging, and 7) judgment is needed. It provides examples of the principles in action like dangerous metrics and passed tests not ensuring problems won't occur. Context driven testing values individuals and interactions over processes, working software over documentation, and responding to change over plans. It believes in documentation and automation but communication and tools, respectively, are more important.
Interview with Stefan
This document summarizes an interview with Stefan Voxby, a project manager at Ericsson, about managing the "Cello 7 project" which involved developing a new hardware board. The project had 100 people and a 1 year timeline. Stefan was responsible for planning the project, allocating resources to teams, tracking progress in Microsoft Project, and managing risks such as component shortages. He found that having good relationships with coworkers and an established project methodology were important for success.
Graham Freeburn - Make Your Testing Smarter - Know Your Context!
EuroSTAR Software Testing Conference 2008 presentation on Make Your Testing Smarter - Know Your Context! by Graham Freeburn. See more at conferences.eurostarsoftwaretesting.com/past-presentations/
Software Project Estimation Survival Guide
Software Project Estimation Survival Guide.
A practical approach to making estimates that both you and your clients can live with.
Data science is not Software Development and how Experiment Management can ma...
Working on data science projects that are run as if they were software development can sometimes feel like trying to fit a square peg in a round hole. In this talk, I will explain why that happens and what people do to try and fix it. Lately, in the context of machine learning, the concept of experiment management, which treats ml experiments as first-class citizens, has been gaining a lot of traction. I will discuss what it is, what are the benefits of using it, and how you can apply it in your work to make run your projects more efficiently.
Paula O' Grady - Prioritising tests? - Use Your Gut Instinct
EuroSTAR Software Testing Conference 2009 presentation on by Michael Monaghan. See more at conferences.eurostarsoftwaretesting.com/past-presentations/
Rapid Software Testing: Strategy
A test strategy is the set of ideas that guides your test design. It's what explains why you test this instead of that, and why you test this way instead of that way. Strategic thinking matters because testers must make quick decisions about what needs testing right now and what can be left alone. You must be able to work through major threads without being overwhelmed by tiny details. James Bach describes how test strategy is organized around risk but is not defined before testing begins. Rather, it evolves alongside testing as we learn more about the product. We start with a vague idea of our strategy, organize it quickly, and document as needed in a concise way. In the end, the strategy can be as formal and detailed as you want it to be. In the beginning, though, we start small. If you want to focus on testing and not paperwork, this approach is for you.
Iterate iterate iterate: the key to success | Insight, issue 2
The document discusses the benefits of iterative design and rapid prototyping in medical device design. It argues that while the "right first time" approach aims to avoid risks, it may deprive teams of insights that could improve designs. Rapid prototyping allows frequent iteration and testing of designs with users, revealing unexpected insights. This helps identify issues earlier in the design process and leads to products that better meet user needs and regulatory standards. The key is using rapid iteration strategically and balancing it with thorough analysis and testing, to reap benefits while managing risks.
Architecting Solutions and Systems – Randy’s Secrets to Success
This session will provide background and guidance on how Randy has architected software solutions for the past 20+ years. This will cover a range of mostly technical topics, including infrastructure planning, trade-off considerations, performance and scalability, and separation of tiers. Expect to hear plenty of stories from real projects over his career, along with numerous tips on his secrets to success.
A Rapid Introduction to Rapid Software Testing
This document provides a summary of a presentation on Rapid Software Testing. The presentation was given by Michael Bolton of DevelopSense and covered the methodology and mindset of rapid software testing. It emphasizes testing software expertly under uncertainty and time pressure. The presentation defines rapid testing as testing more quickly and less expensively while still achieving excellent results. It compares rapid testing to other approaches like exhaustive, ponderous, and slapdash testing. The presentation also discusses principles of rapid testing, how to recognize problems quickly using heuristics, and testing rapidly to fulfill the mission of testing.
Michael Bolton - Two Futures of Software Testing
EuroSTAR Software Testing Conference 2008 presentation on Two Futures of Software Testing by Michael Bolton. See more at conferences.eurostarsoftwaretesting.com/past-presentations/
Rapid Software Testing: Reporting
Test reporting is something few testers take time to practice. Nevertheless, it's a fundamental skill—vital for your professional credibility and your own self management. Many people think management judges testing by bugs found or test cases executed. Actually, testing is judged by the story it tells. If your story sounds good, you win. A test report is the story of your testing. It begins as the story we tell ourselves, each moment we are testing, about what we are doing and why. We use the test story within our own minds, to guide our work. James Bach explores the skill of test reporting and examines some of the many different forms a test report might take. As in other areas of testing, context drives good reporting. Sometimes we make an oral report; occasionally we need to write it down. Join James for an in-depth look at the art of the reporting.
Project Estimation Presentation - Donte's 8th level of estimating level of ef...
Johnnie Fox, Project Manager at Promet delivers this overview on web development project estimation, how to do it right and the pitfalls to watch out for.
How to think smarter about software development
In 2011, the website edge.org asked the question, 'What scientific concept would improve everybody's cognitive toolkit?'. There were answers from renowned intellectuals. I have listed some of the concepts which are relevant to software development.
The Abolition of Test
Test as it stands in many organisations is increasingly unfit for purpose. It is often seen as a cost centre not a value add service. Why? Because having separate Test groups leads to the abdication of quality responsibility by everyone else in the lifecycle. With changes in processes, increase maturity and availability of tools to optimise delivery Test is in danger of becoming obsolete. And so it should! Test is dying but we need more testing than ever before.
cavali-fashion-show
The document announces a fashion show hosted by Roxx at The Cavalli Club in Dubai in 2009. The event was a fashion show held at a nightclub in Dubai called The Cavalli Club. It took place in 2009 and was hosted by the company Roxx.
SCHEIDING WONEN ZORG GODELINDE SCHETSONTWERP
Duurzame herontwikkelingsvoorstel voor de Godelinde van Zorggroep Vivium
More Related Content
What's hot
Rikard Edgren - Testing is an Island - A Software Testing Dystopia
This document summarizes trends in software testing that could diminish its effectiveness and enjoyment. It notes an increasing focus on verification over validation, precise measurement over subjective judgement, and short-term metrics over long-term quality. This narrowing scope risks making testers isolated and limiting their creativity, motivation and ability to consider the full context of a project. The document advocates a holistic and subjective approach that considers people and intangible factors, not just short-term quantifiable results. Subjectivity and considering the whole system, not just parts, are presented as useful for testing.
Test & evaluation = the knowledge factory
Test & Evaluation (T&E) is presented in the prespective of knowledge creation, distribution, absorbtion and management. Possible "soft tools" are derived from the insight of the sciences of learning and knowledge management.
Defining Test Competence
In this article I explore the concept of test competence, and how it is connected to complex problems.
Gustav Olsson - Agile - Common Sense with a New Name Tag revised
EuroSTAR Software Testing Conference 2009 presentation on Agile - Common Sense with a New Name Tag revised by Gustav Olsson. See more at conferences.eurostarsoftwaretesting.com/past-presentations/
Context driven tester
The document discusses context driven testing, which focuses on 7 principles: 1) the value of practices depends on context, 2) there are good practices in context but no best practices, 3) people are most important, 4) projects change unpredictably, 5) products must solve problems, 6) testing is challenging, and 7) judgment is needed. It provides examples of the principles in action like dangerous metrics and passed tests not ensuring problems won't occur. Context driven testing values individuals and interactions over processes, working software over documentation, and responding to change over plans. It believes in documentation and automation but communication and tools, respectively, are more important.
Interview with Stefan
This document summarizes an interview with Stefan Voxby, a project manager at Ericsson, about managing the "Cello 7 project" which involved developing a new hardware board. The project had 100 people and a 1 year timeline. Stefan was responsible for planning the project, allocating resources to teams, tracking progress in Microsoft Project, and managing risks such as component shortages. He found that having good relationships with coworkers and an established project methodology were important for success.
Graham Freeburn - Make Your Testing Smarter - Know Your Context!
EuroSTAR Software Testing Conference 2008 presentation on Make Your Testing Smarter - Know Your Context! by Graham Freeburn. See more at conferences.eurostarsoftwaretesting.com/past-presentations/
Software Project Estimation Survival Guide
Software Project Estimation Survival Guide.
A practical approach to making estimates that both you and your clients can live with.
Data science is not Software Development and how Experiment Management can ma...
Working on data science projects that are run as if they were software development can sometimes feel like trying to fit a square peg in a round hole. In this talk, I will explain why that happens and what people do to try and fix it. Lately, in the context of machine learning, the concept of experiment management, which treats ml experiments as first-class citizens, has been gaining a lot of traction. I will discuss what it is, what are the benefits of using it, and how you can apply it in your work to make run your projects more efficiently.
Paula O' Grady - Prioritising tests? - Use Your Gut Instinct
EuroSTAR Software Testing Conference 2009 presentation on by Michael Monaghan. See more at conferences.eurostarsoftwaretesting.com/past-presentations/
Rapid Software Testing: Strategy
A test strategy is the set of ideas that guides your test design. It's what explains why you test this instead of that, and why you test this way instead of that way. Strategic thinking matters because testers must make quick decisions about what needs testing right now and what can be left alone. You must be able to work through major threads without being overwhelmed by tiny details. James Bach describes how test strategy is organized around risk but is not defined before testing begins. Rather, it evolves alongside testing as we learn more about the product. We start with a vague idea of our strategy, organize it quickly, and document as needed in a concise way. In the end, the strategy can be as formal and detailed as you want it to be. In the beginning, though, we start small. If you want to focus on testing and not paperwork, this approach is for you.
Iterate iterate iterate: the key to success | Insight, issue 2
The document discusses the benefits of iterative design and rapid prototyping in medical device design. It argues that while the "right first time" approach aims to avoid risks, it may deprive teams of insights that could improve designs. Rapid prototyping allows frequent iteration and testing of designs with users, revealing unexpected insights. This helps identify issues earlier in the design process and leads to products that better meet user needs and regulatory standards. The key is using rapid iteration strategically and balancing it with thorough analysis and testing, to reap benefits while managing risks.
Architecting Solutions and Systems – Randy’s Secrets to Success
This session will provide background and guidance on how Randy has architected software solutions for the past 20+ years. This will cover a range of mostly technical topics, including infrastructure planning, trade-off considerations, performance and scalability, and separation of tiers. Expect to hear plenty of stories from real projects over his career, along with numerous tips on his secrets to success.
A Rapid Introduction to Rapid Software Testing
This document provides a summary of a presentation on Rapid Software Testing. The presentation was given by Michael Bolton of DevelopSense and covered the methodology and mindset of rapid software testing. It emphasizes testing software expertly under uncertainty and time pressure. The presentation defines rapid testing as testing more quickly and less expensively while still achieving excellent results. It compares rapid testing to other approaches like exhaustive, ponderous, and slapdash testing. The presentation also discusses principles of rapid testing, how to recognize problems quickly using heuristics, and testing rapidly to fulfill the mission of testing.
Michael Bolton - Two Futures of Software Testing
EuroSTAR Software Testing Conference 2008 presentation on Two Futures of Software Testing by Michael Bolton. See more at conferences.eurostarsoftwaretesting.com/past-presentations/
Rapid Software Testing: Reporting
Test reporting is something few testers take time to practice. Nevertheless, it's a fundamental skill—vital for your professional credibility and your own self management. Many people think management judges testing by bugs found or test cases executed. Actually, testing is judged by the story it tells. If your story sounds good, you win. A test report is the story of your testing. It begins as the story we tell ourselves, each moment we are testing, about what we are doing and why. We use the test story within our own minds, to guide our work. James Bach explores the skill of test reporting and examines some of the many different forms a test report might take. As in other areas of testing, context drives good reporting. Sometimes we make an oral report; occasionally we need to write it down. Join James for an in-depth look at the art of the reporting.
Project Estimation Presentation - Donte's 8th level of estimating level of ef...
Johnnie Fox, Project Manager at Promet delivers this overview on web development project estimation, how to do it right and the pitfalls to watch out for.
How to think smarter about software development
In 2011, the website edge.org asked the question, 'What scientific concept would improve everybody's cognitive toolkit?'. There were answers from renowned intellectuals. I have listed some of the concepts which are relevant to software development.
The Abolition of Test
Test as it stands in many organisations is increasingly unfit for purpose. It is often seen as a cost centre not a value add service. Why? Because having separate Test groups leads to the abdication of quality responsibility by everyone else in the lifecycle. With changes in processes, increase maturity and availability of tools to optimise delivery Test is in danger of becoming obsolete. And so it should! Test is dying but we need more testing than ever before.
What's hot (19)
Rikard Edgren - Testing is an Island - A Software Testing Dystopia
Rikard Edgren - Testing is an Island - A Software Testing Dystopia
Gustav Olsson - Agile - Common Sense with a New Name Tag revised
Gustav Olsson - Agile - Common Sense with a New Name Tag revised
Graham Freeburn - Make Your Testing Smarter - Know Your Context!
Graham Freeburn - Make Your Testing Smarter - Know Your Context!
Data science is not Software Development and how Experiment Management can ma...
Data science is not Software Development and how Experiment Management can ma...
Paula O' Grady - Prioritising tests? - Use Your Gut Instinct
Paula O' Grady - Prioritising tests? - Use Your Gut Instinct
Iterate iterate iterate: the key to success | Insight, issue 2
Iterate iterate iterate: the key to success | Insight, issue 2
Architecting Solutions and Systems – Randy’s Secrets to Success
Architecting Solutions and Systems – Randy’s Secrets to Success
Project Estimation Presentation - Donte's 8th level of estimating level of ef...
Project Estimation Presentation - Donte's 8th level of estimating level of ef...
Viewers also liked
cavali-fashion-show
The document announces a fashion show hosted by Roxx at The Cavalli Club in Dubai in 2009. The event was a fashion show held at a nightclub in Dubai called The Cavalli Club. It took place in 2009 and was hosted by the company Roxx.
SCHEIDING WONEN ZORG GODELINDE SCHETSONTWERP
Duurzame herontwikkelingsvoorstel voor de Godelinde van Zorggroep Vivium
Iprc Jpnews Current
This newsletter provides an overview of recent research from the International Pacific Research Center (IPRC). It features two research articles by Dr. Kosaka on dynamics of the Asian jet stream and interannual variability in East Asian summer precipitation. It also introduces new IPRC staff members Dr. Ishizu and Dr. Taniguchi and their research on ocean boundary layers and tropical cyclone simulations. Visitors to IPRC are also acknowledged.
Ch10
The document provides an overview of the money market and key players. It discusses how governments, through treasury bills, and security dealers, through repurchase agreements, are major borrowers in the money market. It also outlines the roles of central banks, commercial banks, corporations and other financial institutions as important lenders and borrowers in the money market.
Ch06
This chapter discusses various methods used to measure interest rates and prices of financial assets. It covers topics such as basis points, yields, discounts, and how interest rates are calculated for different financial instruments. Various rates are also defined, such as coupon rates, current yields, and annual percentage rates. The relationship between interest rates and asset prices is explored, with higher yields generally corresponding to lower prices.
roxx fashion u.a.e. - Fashion Show in Cavalli Club
The fashion show was held at The Cavalli Club in Dubai in 2009. Roxx, a fashion brand, showcased their latest designs and styles on the runway for guests at the exclusive club. Models walked down the runway wearing the newest clothing from Roxx to display the fashions and trends for the year.
Viewers also liked (8)
roxx fashion u.a.e. - Fashion Show in Cavalli Club
roxx fashion u.a.e. - Fashion Show in Cavalli Club
Similar to Solving technical challenges
Webinar - Design Thinking for Platform Engineering
This document discusses approaching platform engineering with a design thinking mindset. It begins by outlining challenges with existing approaches, such as tools being difficult to use and responsibilities being blurred. It then defines platform engineering and describes design thinking, which integrates user needs, technology possibilities, and business requirements. The design thinking process involves empathizing with users to gain insights, defining opportunities, ideating solutions, prototyping ideas, and testing assumptions. The document argues that applying a human-centered design thinking approach helps focus on outcomes rather than just technology, surfaces conflicts, identifies new opportunities, and involves frequent testing with users. It concludes by recommending getting started with design thinking for platform engineering by identifying and prioritizing problems, engaging stakeholders
Reducing Time Spent On Requirements
Four major causes of difficulty in gathering system requirement and business requirements, Reasons projects were
abandoned.Three Generations of System Development:1. Direct Contact 2. Business Analyst 3.Team Based.
Data science - An Introduction
This document provides an introduction and overview of data science. It discusses Ravishankar Rajagopalan's educational and professional background working in data science. It then covers various topics related to data science including common applications, required skills, the typical project lifecycle, team aspects, career progression, interviews, and resources for learning. Examples of unusual real-world applications are also summarized, such as using machine learning to optimize inventory levels for an oil and gas company and implementing speech recognition to predict customer intent for a call center.
Dual Track Agile & Data Driven Design
Overview of dual track agile design methodology and how to incorporate qualitative and quatitative data into an iterative design process.
Agilelessons scanagile-final 2013
How to make a large agile project succeed? Presentation from Scan Agile 2013 conference based on two big projects. Real world problems and solutions.
Martin Lander 14 Resit Project – Globally Conscious Engineer .docx
Martin Lander 14 Resit Project – Globally Conscious Engineer
PROJECT
Using the design tools available to you plan your project using a design model (eg Pahl
and Beitz, MAE) to fully investigate the brief and develop a solution to the problem. This is
to help develop your Global Awareness in Engineering and to help defining the problem.
LEARNING OUTCOMES AS SESSED
1. Investigate and define a problem and identify constraints including environmental and
sustainability limitations, health and safety and risk assessment issues [IMechE_D1].
2. Understand customer and user needs and the importance of considerations such as
aesthetics [D2], and cost drivers [D3].
3. Use creativity to establish innovative solutions [D4] and consider stages of the design
process and organise ideas to evaluate outcomes [D6].
4. Ensure fitness for purpose for all aspects of the problem including production, operation,
maintenance and disposal [D5].
5. Apply appropriate codes of practice and industry standards [P6].
BRIEF
Globally conscious engineering
Produce plans for an innovative irrigation system that will bring water
from a nearby pond or river to water your vegetable garden
(Horenstein 2010: 84). It must operable by an 8 year old and allow
villagers that cannot access a clean water supply the opportunity to
water their crops. It should give a flow of 0.1l per minute per sq.
metre of crops that are being grown. It must have the option to switch
it off should the crops begin to become saturated. It must be protected as much as
possible from vandalism.
The device must be manual mechanical not use electronics in the form of solar
panels as they are a target for thieves. Plastic parts are also preferred for this
reason as steel has a high resale value.
Where possible it should use freely available plumbing components that may be
available locally.
It should require minimal servicing and have easily repairable parts.
103MAE - Design
Martin Lander – [email protected]
Project Title Resit CW2 - Group Project – Globally Conscious Engineer
Project
Submission
Details
- THIS IS TO BE SUBMITTED ONLINE THROUGH MOODLE in PDF.
- 30/06/14 (2355).
- 50% of Module Mark
- late submissions will receive a mark of 0%.
Martin Lander 14 Resit Project – Globally Conscious Engineer
“I DON’T SEE THE POI NT SIR.”
Fundamental engineering science underpins this project. Consider your engineering
science in regards to beam bending and shear stress diagrams and calculations to
consider if certain materials will withstand a certain load. Think of the items you’ve been
drawing for your portfolio. Also calculate forces involved in the system so you know if any
of the equipment you’ve considered in your concept will fail.
You should research similar systems that work in the same way, and if you think there’s
nothing in the world that will do the job, think again. The IPhone did not exist at some
point, but t ...
Software Architecture: How Much Design?
The document discusses how much attention should be paid to software architecture design. It argues that architecture is important because it acts as the skeleton of the system and influences all its attributes. While not everything requires upfront architectural design, it is important to deliberately address risks. The right amount of architectural effort depends on identifying and prioritizing risks through techniques like risk-driven design. Architectural choices should aim to reduce risks while balancing tradeoffs. It is also important to embed architectural intent into the code to keep models and implementation in sync.
Copyright © 2014 EMC Corporation. All Rights Reserved..docx
Copyright ©
2014 EM
C Corporation. All Rights Reserved.
Data Analytics Lifecycle
1
M
odule 2: Data Analytics Lifecycle
Copyright ©
2014 EM
C Corporation. All Rights Reserved.
Data Analytics Lifecycle
U
pon com
pletion of this lesson, you should be able to:
•
Apply the Data Analytics Lifecycle to a case study scenario
•
Fram
e a business problem
as an analytics problem
•
Identify the four m
ain deliverables in an analytics project
M
odule 2: Data Analytics Lifecycle
2
Copyright ©
2014 EM
C Corporation. All Rights Reserved.
How
to Approach Your Analytics Problem
s
•
How
do you currently approach
your analytics problem
s?
•
Do you follow
a m
ethodology or
som
e kind of fram
ew
ork?
•
How
do you plan for an analytic
project?
3
M
odule 2: Data Analytics Lifecycle
Your Thoughts?
Copyright ©
2014 EM
C Corporation. All Rights Reserved.
•
Focus your tim
e
•
Ensure rigor and com
pleteness
•
Enable better transition to m
em
bers of the cross-functional
analytic team
s
Repeatable
Scale to additional analysts
Support validity of findings
4
“A journey of a thousand m
iles begins w
ith a single step“ (Lao Tzu)
M
odule 2: Data Analytics Lifecycle
Value of U
sing the Data Analytics Lifecycle
Copyright ©
2014 EM
C Corporation. All Rights Reserved.
5
1.
W
ell-defined processes
can help guide any analytic
project
2.
Focus of Data Analytics
Lifecycle is on Data Science
projects, not business
intelligence
3.
Data Science projects tend to require a m
ore consultative
approach, and differ in a few
w
ays
M
ore due diligence in Discovery phase
M
ore projects w
hich lack shape or structure
Less predictable data
N
eed For a Process to Guide Data Science Projects
5
M
odule 2: Data Analytics Lifecycle
Copyright ©
2014 EM
C Corporation. All Rights Reserved.
Key Roles for a Successful Analytic Project
M
odule 2: Data Analytics Lifecycle
6
Role
Description
Business U
ser
Som
eone w
ho benefits from
the end results
and can consult and advise project team
on
value of end results and how
these w
ill be operationalized
Project Sponsor
Person responsible for the genesis of the project, providing the im
petus for the project and
core business problem
, generally provides the funding
and w
ill gauge the degree of value
from
the final outputs of the w
orking team
Project M
anager
Ensure key m
ilestonesand objectives are m
et on tim
e and at expected quality.
BusinessIntelligence
Analyst
Businessdom
ain expertise w
ith deep understanding of the data,KPIs, key m
etrics and
business intelligence from
a reporting perspective
Data Engineer
Deep technical skills to assist w
ith tuning SQ
L queries for data m
anagem
ent, extraction and
support data ingest to analytic sandbox
Database
Adm
inistrator (DBA)
Database Adm
inistratorw
ho provisions and configures database environm
ent to support
the analytical needs of the w
orking team
Data S.
KDD 2019 IADSS Workshop - How Data Scientists can bridge the gap between Data...
This document discusses how data science projects often fail due to a lack of business adoption and the gap between data and business needs. It provides statistics showing that 85% of big data projects fail and 80% of AI projects do not scale within organizations. Common reasons for failure include solving the wrong problem, having the wrong data or skills, and not clearly defining the business purpose. The document then discusses how organizations are addressing these issues through design thinking, design sprints, and focusing on actionable insights and simple, prototype models. It provides an example of a predictive maintenance model that scheduled maintenance to detect HVAC failures and improve customer service.
From Lab to Factory: Or how to turn data into value
We've all heard of 'big data' or data science, but how do we convert these trends into actual business value. I share case studies, and technology tips and talk about the challenges of the data science process. This is all based on two years of in-the-field research of deploying models, and going from prototypes to production.
These are slides from my talk at PyCon Ireland 2015
Why is TDD so hard for Data Engineering and Analytics Projects?
This slide show describes the difficulties in implementing Test-Driven Development (TDD) in the context of analytics and data engineering in development and maintenance phases. If we assumes that the objective of TDD is to reduce cycle time, improve developer productivity and improve production quality. It identifies 7 challenges from the analytics literature and a further 10 from interviews (n=14) and survey respondents (n=20) selected from analytics leaders. A key theme emerging as an output is that many of the challenges can be addressed through education and coaching, notably around data literacy for key stakeholders and executives
Architecting a Data Platform For Enterprise Use (Strata NY 2018)
Building a data lake involves more than installing Hadoop or putting data into AWS. The goal in most organizations is to build multi-use data infrastructure that is not subject to past constraints. This tutorial covers design assumptions, design principles, and how to approach the architecture and planning for multi-use data infrastructure in IT.
Long:
The goal in most organizations is to build multi-use data infrastructure that is not subject to past constraints. This session will discuss hidden design assumptions, review design principles to apply when building multi-use data infrastructure, and provide a reference architecture to use as you work to unify your analytics infrastructure.
The focus in our market has been on acquiring technology, and that ignores the more important part: the larger IT landscape within which this technology lives and the data architecture that lies at its core. If one expects longevity from a platform then it should be a designed rather than accidental architecture.
Architecture is more than just software. It starts from use and includes the data, technology, methods of building and maintaining, and organization of people. What are the design principles that lead to good design and a functional data architecture? What are the assumptions that limit older approaches? How can one integrate with, migrate from or modernize an existing data environment? How will this affect an organization's data management practices? This tutorial will help you answer these questions.
Topics covered:
* A brief history of data infrastructure and past design assumptions
* Categories of data and data use in organizations
* Data architecture
* Functional architecture
* Technology planning assumptions and guidance
Managing Data Science | Lessons from the Field
The document discusses best practices for managing data science teams based on lessons learned. It outlines common pitfalls such as solving the wrong problem, having the wrong tools, or results being used incorrectly. Issues include data science being different from software development and forgetting other stakeholders. Recommendations include establishing processes for the full lifecycle from ideation to monitoring, using modular systems thinking, and defining roles like data scientists, managers, and product owners to address organizational challenges. The goal is to deliver measurable, reliable, and scalable insights.
Lean UX in the Enterprise: A Government Case Study
You'll learn:
- How to quickly identify user groups despite vague assumptions.
- How to define clear features amidst complex requirements and business objectives.
- How to establish efficient UX processes across disjointed teams.
importance of resources allocation in formal method of software engineering ...
This document discusses key concepts related to project management including resource allocation, software risks, differences between products and projects, discount factors, net present value, and net profit.
The main points are:
1) Resource allocation in project management is important for planning, scheduling, and controlling workload to improve team effectiveness. It involves identifying and tracking resources like budget, tools, and time.
2) The top five software risks are inherent schedule flaws, requirements inflation, employee turnover, specification breakdown, and poor productivity. Agile methods aim to mitigate these risks through practices like iterative planning and prioritization.
3) The key difference between a product and project is that a product is manufactured and sold while a project is built to
akhanna_recommendation
Doug Carlson recommends Advitya Khanna for employment without reservation. Carlson worked with Khanna over two internships and was impressed with his technical skills, problem-solving abilities, and work ethic. Khanna quickly understood complex problems and produced elegant solutions. He also sought feedback to improve, growing his communication skills significantly. Most notably, Khanna's thoroughness improved not only his own work but also third-party code used by thousands of engineers through patches he submitted. Carlson believes any team would benefit from recruiting Khanna.
Software engineering
The document discusses principles and practices of software engineering. It begins by outlining the essence of problem solving and software engineering practice as understanding the problem, planning a solution, carrying out the plan, and examining the results. It then discusses core principles like ensuring value for users, keeping designs simple, maintaining a clear vision, and thinking before taking action. The document also covers communication practices for requirements gathering and planning practices for defining the project scope and managing risks.
Piloting Drones Overview.pptx
This document provides an overview of engineering design and the engineering design process. It discusses what engineering is, the difference between analysis and design problems, and a 7-step engineering design process. The process involves defining the problem, identifying criteria and constraints, brainstorming solutions, refining ideas, selecting an approach, building a prototype, and testing and refining the design. Documentation and teamwork are also emphasized as important parts of the engineering design process. Working in teams allows for combining different perspectives and experiences to arrive at more creative solutions. Effective team practices and documentation are essential for a systematic and thorough application of the engineering design process.
Piloting Drones Overview
This document provides an overview of engineering design and the engineering design process. It discusses what engineering is, the difference between analysis and design problems, and a 7-step engineering design process. The process involves defining the problem, identifying criteria and constraints, brainstorming solutions, refining ideas, selecting an approach, building a prototype, and testing and refining the design. Documentation and teamwork are also emphasized as important parts of the engineering design process. Working in teams allows for combining different perspectives and experiences to arrive at more creative solutions. Effective team practices and documentation are essential for a systematic and thorough application of the engineering design process.
Industrializing Data Science: Transform into an End-to-End, Analytics-Oriente...
Transcript of a discussion on the latest methods, tools, and thinking around making data science an integral core function of any business.
Similar to Solving technical challenges (20)
Webinar - Design Thinking for Platform Engineering
Webinar - Design Thinking for Platform Engineering
Martin Lander 14 Resit Project – Globally Conscious Engineer .docx
Martin Lander 14 Resit Project – Globally Conscious Engineer .docx
Copyright © 2014 EMC Corporation. All Rights Reserved..docx
Copyright © 2014 EMC Corporation. All Rights Reserved..docx
KDD 2019 IADSS Workshop - How Data Scientists can bridge the gap between Data...
KDD 2019 IADSS Workshop - How Data Scientists can bridge the gap between Data...
From Lab to Factory: Or how to turn data into value
From Lab to Factory: Or how to turn data into value
Why is TDD so hard for Data Engineering and Analytics Projects?
Why is TDD so hard for Data Engineering and Analytics Projects?
Architecting a Data Platform For Enterprise Use (Strata NY 2018)
Architecting a Data Platform For Enterprise Use (Strata NY 2018)
Lean UX in the Enterprise: A Government Case Study
Lean UX in the Enterprise: A Government Case Study
importance of resources allocation in formal method of software engineering ...
importance of resources allocation in formal method of software engineering ...
Industrializing Data Science: Transform into an End-to-End, Analytics-Oriente...
Industrializing Data Science: Transform into an End-to-End, Analytics-Oriente...
Recently uploaded
Large Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial Applications.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
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/albumentationsGraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
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.
20240609 QFM020 Irresponsible AI Reading List May 2024
Everything I found interesting about the irresponsible use of machine intelligence in May 2024
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
Video Streaming: Then, Now, and in the Future
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Pushing the limits of ePRTC: 100ns holdover for 100 days
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.
A tale of scale & speed: How the US Navy is enabling software delivery from l...
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
20240607 QFM018 Elixir Reading List May 2024
Everything I found interesting about the Elixir programming ecosystem in May 2024
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...
Join us to introduce Milvus Lite, a vector database that can run on notebooks and laptops, share the same API with Milvus, and integrate with every popular GenAI framework. This webinar is perfect for developers seeking easy-to-use, well-integrated vector databases for their GenAI apps.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
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.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Full-RAG: A modern architecture for hyper-personalization
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Recently uploaded (20)
Large Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial Applications
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Full-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalization
Solving technical challenges
- 1. Solving Technical Challenges Dr. Moti Margalit 1-1-14
- 2. Pens in Space The problem How to write in Space The Solution ____________________________
- 3. Outline Framing the constraints Methods of Identifying Solutions Infrastructure The team and plan Example Summary
- 5. Problem Definition Product Feature New frame Integration into existing framework Crisis Going from malfunctioning to functioning
- 6. Methods of Identifying Solutions Once you eliminate the impossible, whatever remains, no matter how improbable, must be the truth Sir Arthur Conan Doyle Methods for identifying possibilities TRIZ SIT But brainstorming is just the start Creating confidence in uncertainty
- 7. Infrastructure If I have seen a little further it is by standing on the shoulders of Giants, Sir Isaac Newton People Technical knowledge Capability to work in uncertainty Team work Infrastructure Labs, equipment Industry relations Know how
- 8. The Team and Plan Team Expertise Coordination Control of resources Plan Actions should be planned Results should be anticipated with backup options Minimize branches and Ignore miracles
- 9. Tools for Planning Focus on show stoppers High level Gantt Means of communication Don’t lose track of the forest Plans change frequently List of measurable milestones/deliverables This is the commitment table Spread out across the plan Replaces plan tracking
- 10. Example TSV process development at INC Initial Problem definition Extend INC wafer level technology to TSV But this was not the real problem … INC technology was not scalable for next gen image sensors That was the problem
- 11. Framework Use existing process modules No equipment investment Solution combine INC technology with laser drill from PCB industry
- 12. Team and Plan 3 person team Use INC infrastructure Work with laser drill manufacturers Development plan follows standard process development 10 wafers for feasibility Iterations of design, process short loops, integration run and testing Outsourcing of laser drill
- 13. Results Success of feasibility after 6 months Acquired laser tool for INC After 6 months of engineering sold 1st license 3 more licenses were sold in following 2 years
- 15. Encourage Hacking State of Art Hacking boundaries
- 16. Summary Infrastructure People Attitude Define the Problem and Framework Team and Resources Create confidence in uncertainty