Presentation by Trent McConaghy, Ocean Protocol, Founder and Founder & CTO, BigchainDB
What is token engineering? Who is a part of the community and what are we trying to accomplish?
Introducing the world's first token engineering frameworkToken Engineering
Presentation by Aron van Ammers, Outlier Ventures, CTO and Founding Partner
Outlier Ventures launches their report into the 3 D's of Token Design. Aron shares the insights, methodologies and mechanisms pioneered by his dedicated cryptoeconomics team and a global community of peers based on their direct experience designing of a number of high profile token ecosystems.
How can we bring together the capital, compute power, data, people, their assets and their digital representatives at scale, to decentralise the web? He explains the skills and competencies required such as economics, game theory, machine learning and systems design to realize sustainable digital economies that allow the coordination of open source distributed networks of resources.
Token Ecosystem Creation can be found here --> https://outlierventures.io/wp-content/uploads/2018/03/Token-Ecosystem-Creation-Outlier-Ventures-1.pdf
This document discusses socio-technical systems engineering and analysis. It describes creating interconnected communities of autonomous local actors enabled by technology that allow for global coordination. Proper design and testing of economic systems requires interdisciplinary skills and understanding how to synthesize systems through engineering design and analyze them through empirical testing. Blockchains can serve as sensors and smart contracts as actuators, allowing decentralized coordination similar to multi-agent robotics. Engineering systems raises responsibility to consider fairness, ethics, safety, and how individuals and societies experience risk differently.
The document discusses emerging technologies and their potential role in social movements. It outlines how technological transformations like increased connectivity and computing power, combined with societal shifts, may be reaching a tipping point. New collaboration platforms could harness these forces, scaling mass collaboration to millions of people. Specific projects mentioned include Open Project Infrastructure to match collaborators through metadata, and an ecosystem rollout approach across issues like climate change and local foods. Current projects under development include Isofractal, a "cloud operating system" for mass collaboration, and PartyX, aiming to develop new collaborative decision-making models and movement building. Crowdsourcing is presented as a way to fund high-risk social change work without traditional institutional funding.
The document discusses value encounters and extensions to the e3-value business model. It proposes that value is co-created through interactions between actors in "value encounters" where resources are combined. Value encounters can be connected through causal relationships where one encounter reinforces another. It also outlines dimensions for analyzing value encounters, including financial, operational, knowledge, and social considerations. The conclusion advocates extending e3-value with the concept of value encounters and developing more network analysis methods to better capture co-creation of value.
Digital government depends on trust between parties, which can be enabled through cryptography and identification mechanisms. However, cryptography must itself be trustworthy to establish trust, as technology is difficult to control and math implementations get weaker over time. Trust is also fragile and important for digital ecosystems that span borders. To fully realize digital government's benefits, systems must balance tactical gains with strategic consequences like maintaining long-term trust.
Sameer Mitter | Difference between Technology and Information Technology & Sc...Sameer Mitter
Sameer Mitter explains the difference between technology and Information technology and science. These are three important pillars for a successful life.
Introducing the world's first token engineering frameworkToken Engineering
Presentation by Aron van Ammers, Outlier Ventures, CTO and Founding Partner
Outlier Ventures launches their report into the 3 D's of Token Design. Aron shares the insights, methodologies and mechanisms pioneered by his dedicated cryptoeconomics team and a global community of peers based on their direct experience designing of a number of high profile token ecosystems.
How can we bring together the capital, compute power, data, people, their assets and their digital representatives at scale, to decentralise the web? He explains the skills and competencies required such as economics, game theory, machine learning and systems design to realize sustainable digital economies that allow the coordination of open source distributed networks of resources.
Token Ecosystem Creation can be found here --> https://outlierventures.io/wp-content/uploads/2018/03/Token-Ecosystem-Creation-Outlier-Ventures-1.pdf
This document discusses socio-technical systems engineering and analysis. It describes creating interconnected communities of autonomous local actors enabled by technology that allow for global coordination. Proper design and testing of economic systems requires interdisciplinary skills and understanding how to synthesize systems through engineering design and analyze them through empirical testing. Blockchains can serve as sensors and smart contracts as actuators, allowing decentralized coordination similar to multi-agent robotics. Engineering systems raises responsibility to consider fairness, ethics, safety, and how individuals and societies experience risk differently.
The document discusses emerging technologies and their potential role in social movements. It outlines how technological transformations like increased connectivity and computing power, combined with societal shifts, may be reaching a tipping point. New collaboration platforms could harness these forces, scaling mass collaboration to millions of people. Specific projects mentioned include Open Project Infrastructure to match collaborators through metadata, and an ecosystem rollout approach across issues like climate change and local foods. Current projects under development include Isofractal, a "cloud operating system" for mass collaboration, and PartyX, aiming to develop new collaborative decision-making models and movement building. Crowdsourcing is presented as a way to fund high-risk social change work without traditional institutional funding.
The document discusses value encounters and extensions to the e3-value business model. It proposes that value is co-created through interactions between actors in "value encounters" where resources are combined. Value encounters can be connected through causal relationships where one encounter reinforces another. It also outlines dimensions for analyzing value encounters, including financial, operational, knowledge, and social considerations. The conclusion advocates extending e3-value with the concept of value encounters and developing more network analysis methods to better capture co-creation of value.
Digital government depends on trust between parties, which can be enabled through cryptography and identification mechanisms. However, cryptography must itself be trustworthy to establish trust, as technology is difficult to control and math implementations get weaker over time. Trust is also fragile and important for digital ecosystems that span borders. To fully realize digital government's benefits, systems must balance tactical gains with strategic consequences like maintaining long-term trust.
Sameer Mitter | Difference between Technology and Information Technology & Sc...Sameer Mitter
Sameer Mitter explains the difference between technology and Information technology and science. These are three important pillars for a successful life.
Blockchain For Science at NFAIS Blockchain for Scientific publishing conferenceSoenke Bartling
This document discusses the current status and potential future of blockchain and cryptoeconomics in science. It begins by defining blockchain as a distributed, decentralized, and immutable way to organize online services and records in a transparent manner without a central authority. It then discusses how blockchain could transform how scientific research is conducted by making the research process more open, transparent, and incentivized through cryptoeconomic mechanisms like tokens and smart contracts. Some specific areas discussed include storing and timestamping research data immutably on blockchain, processing data through smart contracts, decentralized peer review and publication, and new forms of decentralized research funding like initial coin offerings. However, challenges are also noted around technical implementation, governance, and addressing real issues of control over
Thingclash is a framework for considering the cross-impacts and implications of emerging technologies like those in the Internet of Things. It aims to provide a platform for critical analysis of the IoT at social, economic and policy levels to help technologists, researchers and policymakers create a more sustainable IoT. Thingclash hosts workshops to explore frictions between different IoT technologies and how they may clash at social, technical, business and values levels.
The document discusses the concept of Internet Science and calls for a multidisciplinary approach. It proposes creating a Network of Excellence that brings together experts from fields like networking, computing, sociology and more to advance Internet Science. This network would support activities like workshops, researcher exchanges and defining new curricula to help create profiles of "Internet scientists" and architect future Internet developments from a holistic perspective.
Asynchronous futures: Digital technologies at the time of the AnthropoceneAlexandre Monnin
1) The document discusses the future of digital technologies and their relationship to physical resources and sustainability in the context of the Anthropocene.
2) It notes that while Moore's Law has led to exponential growth in computing power, this has come at tremendous resource and energy costs that may not be sustainable long-term as technologies approach physical limits.
3) The document questions where research may lead in the future and considers more sustainable alternatives like biomimetics, new architectures, and alternative materials if current trajectories prove unsustainable in light of physical and resource constraints.
The document proposes a framework that uses weblogs, digital libraries, and semantic web services to improve knowledge management and productivity for engineers during design projects. It discusses how weblogs can facilitate knowledge sharing and socialization among engineers, and how digital libraries can serve as a centralized knowledge base. It also introduces semantic web services to help integrate and utilize scattered computing resources for automated analysis. The framework aims to address common obstacles engineers face regarding limited access to relevant knowledge and convenient tools. An example social-web system prototype is presented to illustrate how the proposed technologies can be combined into a knowledge management system.
Making the case for a values-driven exploration of the Internet of ThingsPeter Bihr
The document discusses the opportunities and challenges presented by the Internet of Things (IoT) and proposes exploring IoT ethics through ongoing conversation, theoretical frameworks, and practical design proposals. It notes that issues of power, control, and privacy are especially important with smart homes and cities. The author advocates joining a movement to make a positive difference through technology, design, and communication regarding IoT.
Engineering Essay : What Is Engineering?
Ethics in Engineering Essay
Essay on Mechanical Engineering
A Successful Engineer Essay
The Role Of An Engineer Essay
Mechanical Engineering Research Paper
Persuasive Essay For Civil Engineering
Essay about Career Profile: Engineering
Essay on Engineering Developments
History of Engineering
A Career in Mechanical Engineering Essay
The Career of Engineering Essay
Designing And Problem Of An Engineer Essay
Industrial Engineering Essay
Personal Reflection On Engineering
Proses Of Becoming An Engineer Essay
Essential Characteristics of an Engineer Essay
Engineering Essay
Essay about Writing in Electrical Engineering
Essay about software engineering
This document provides an introduction to various tech domains like development, UI/UX, AI, cyber security, IoT, AR/VR and blockchain. It discusses necessary skills and resources for each domain. It also describes tech communities in Kerala like PEHIA and ACE which organize events like hackathons. Finally, it outlines achievements of CUSAT students through programs, startups and resources available to learn new skills.
The Art and Science of Analyzing Software DataCS, NcState
This document summarizes an ICSE'14 tutorial on analyzing software data. The tutorial covers various topics:
- Organization issues like talking to users to understand goals, knowing the software domain to avoid misinterpretations, questioning the data, and seeing data science as cyclic.
- Qualitative methods like discovering information needs through surveys and interviews.
- Quantitative methods like data reduction techniques and privacy-preserving sharing.
- Open issues like data instabilities, model comparisons, and ensemble techniques.
The document emphasizes understanding the user's perspective and software domain knowledge to properly analyze data and avoid incorrect conclusions. Case studies show how missing this domain knowledge led analyses down wrong paths.
Blockchain technology can revolutionise the provision of decentralised Applications Dapps, as well as help IoT systems to boot to reduce the cost of this development, the stakeholders to determine how to distribute benefits and take into account five basic principles:
• Potential effects of technology on IoT systems
• Organisational changes
• Secure the correct data
• Financing electronic IoT systems
• Security and privacy of user data
The core feature of tokenized ecosystems, aka public blockchains, is getting people to do stuff. In this talk, I give more structure to this idea using a framing from optimization literature, and more precisely, evolutionary algorithms (EAs). I give examples of this approach using Bitcoin and Ocean Protocol as examples.
Link to video: https://www.youtube.com/watch?v=Sm8j0u5NuGQ
Efficient Use of Internet and Social Media Tools in Innovation ProcessesMikko Ahonen
1. The document discusses efficient use of internet and social media tools in innovation processes, including concepts like open innovation, crowdsourcing, and social network analysis.
2. It provides examples of innovation intermediaries and how communities and social media like blogs can be used to capture ideas and get user feedback.
3. Social network analysis is discussed as a way to map knowledge flows and connections between people in an organization to enhance innovative thinking.
Engineering is the application of science and mathematics to invent, design, build, and improve structures, machines, tools, and systems. Engineers are problem solvers who make things work better, more efficiently, quicker and cheaper. Some key types of engineering include civil, mechanical, electrical and electronics, computer science, and automotive engineering. Engineering benefits society by creating innovations that improve lives and drives technological progress, while also providing rewarding careers for engineers with opportunities for creativity, challenge, learning, and financial stability.
Presentation given by the Proffer team during their hackathon launch ceremony at IIT Delhi on November 10.
In partnership with NITI Aayog, Microsoft, IBM, Accel Partners, AWS, and Coinbase/Toshi. $17K+ in prizes for your Ethereum/Hyperledger projects.
Starting - kickoff notes for PhD Candidates of the ABC Program, at Politecnico di Milano, Italy (A=Architecture, B=Built Environment, C=Construction Engineering)
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.
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.
Blockchain For Science at NFAIS Blockchain for Scientific publishing conferenceSoenke Bartling
This document discusses the current status and potential future of blockchain and cryptoeconomics in science. It begins by defining blockchain as a distributed, decentralized, and immutable way to organize online services and records in a transparent manner without a central authority. It then discusses how blockchain could transform how scientific research is conducted by making the research process more open, transparent, and incentivized through cryptoeconomic mechanisms like tokens and smart contracts. Some specific areas discussed include storing and timestamping research data immutably on blockchain, processing data through smart contracts, decentralized peer review and publication, and new forms of decentralized research funding like initial coin offerings. However, challenges are also noted around technical implementation, governance, and addressing real issues of control over
Thingclash is a framework for considering the cross-impacts and implications of emerging technologies like those in the Internet of Things. It aims to provide a platform for critical analysis of the IoT at social, economic and policy levels to help technologists, researchers and policymakers create a more sustainable IoT. Thingclash hosts workshops to explore frictions between different IoT technologies and how they may clash at social, technical, business and values levels.
The document discusses the concept of Internet Science and calls for a multidisciplinary approach. It proposes creating a Network of Excellence that brings together experts from fields like networking, computing, sociology and more to advance Internet Science. This network would support activities like workshops, researcher exchanges and defining new curricula to help create profiles of "Internet scientists" and architect future Internet developments from a holistic perspective.
Asynchronous futures: Digital technologies at the time of the AnthropoceneAlexandre Monnin
1) The document discusses the future of digital technologies and their relationship to physical resources and sustainability in the context of the Anthropocene.
2) It notes that while Moore's Law has led to exponential growth in computing power, this has come at tremendous resource and energy costs that may not be sustainable long-term as technologies approach physical limits.
3) The document questions where research may lead in the future and considers more sustainable alternatives like biomimetics, new architectures, and alternative materials if current trajectories prove unsustainable in light of physical and resource constraints.
The document proposes a framework that uses weblogs, digital libraries, and semantic web services to improve knowledge management and productivity for engineers during design projects. It discusses how weblogs can facilitate knowledge sharing and socialization among engineers, and how digital libraries can serve as a centralized knowledge base. It also introduces semantic web services to help integrate and utilize scattered computing resources for automated analysis. The framework aims to address common obstacles engineers face regarding limited access to relevant knowledge and convenient tools. An example social-web system prototype is presented to illustrate how the proposed technologies can be combined into a knowledge management system.
Making the case for a values-driven exploration of the Internet of ThingsPeter Bihr
The document discusses the opportunities and challenges presented by the Internet of Things (IoT) and proposes exploring IoT ethics through ongoing conversation, theoretical frameworks, and practical design proposals. It notes that issues of power, control, and privacy are especially important with smart homes and cities. The author advocates joining a movement to make a positive difference through technology, design, and communication regarding IoT.
Engineering Essay : What Is Engineering?
Ethics in Engineering Essay
Essay on Mechanical Engineering
A Successful Engineer Essay
The Role Of An Engineer Essay
Mechanical Engineering Research Paper
Persuasive Essay For Civil Engineering
Essay about Career Profile: Engineering
Essay on Engineering Developments
History of Engineering
A Career in Mechanical Engineering Essay
The Career of Engineering Essay
Designing And Problem Of An Engineer Essay
Industrial Engineering Essay
Personal Reflection On Engineering
Proses Of Becoming An Engineer Essay
Essential Characteristics of an Engineer Essay
Engineering Essay
Essay about Writing in Electrical Engineering
Essay about software engineering
This document provides an introduction to various tech domains like development, UI/UX, AI, cyber security, IoT, AR/VR and blockchain. It discusses necessary skills and resources for each domain. It also describes tech communities in Kerala like PEHIA and ACE which organize events like hackathons. Finally, it outlines achievements of CUSAT students through programs, startups and resources available to learn new skills.
The Art and Science of Analyzing Software DataCS, NcState
This document summarizes an ICSE'14 tutorial on analyzing software data. The tutorial covers various topics:
- Organization issues like talking to users to understand goals, knowing the software domain to avoid misinterpretations, questioning the data, and seeing data science as cyclic.
- Qualitative methods like discovering information needs through surveys and interviews.
- Quantitative methods like data reduction techniques and privacy-preserving sharing.
- Open issues like data instabilities, model comparisons, and ensemble techniques.
The document emphasizes understanding the user's perspective and software domain knowledge to properly analyze data and avoid incorrect conclusions. Case studies show how missing this domain knowledge led analyses down wrong paths.
Blockchain technology can revolutionise the provision of decentralised Applications Dapps, as well as help IoT systems to boot to reduce the cost of this development, the stakeholders to determine how to distribute benefits and take into account five basic principles:
• Potential effects of technology on IoT systems
• Organisational changes
• Secure the correct data
• Financing electronic IoT systems
• Security and privacy of user data
The core feature of tokenized ecosystems, aka public blockchains, is getting people to do stuff. In this talk, I give more structure to this idea using a framing from optimization literature, and more precisely, evolutionary algorithms (EAs). I give examples of this approach using Bitcoin and Ocean Protocol as examples.
Link to video: https://www.youtube.com/watch?v=Sm8j0u5NuGQ
Efficient Use of Internet and Social Media Tools in Innovation ProcessesMikko Ahonen
1. The document discusses efficient use of internet and social media tools in innovation processes, including concepts like open innovation, crowdsourcing, and social network analysis.
2. It provides examples of innovation intermediaries and how communities and social media like blogs can be used to capture ideas and get user feedback.
3. Social network analysis is discussed as a way to map knowledge flows and connections between people in an organization to enhance innovative thinking.
Engineering is the application of science and mathematics to invent, design, build, and improve structures, machines, tools, and systems. Engineers are problem solvers who make things work better, more efficiently, quicker and cheaper. Some key types of engineering include civil, mechanical, electrical and electronics, computer science, and automotive engineering. Engineering benefits society by creating innovations that improve lives and drives technological progress, while also providing rewarding careers for engineers with opportunities for creativity, challenge, learning, and financial stability.
Presentation given by the Proffer team during their hackathon launch ceremony at IIT Delhi on November 10.
In partnership with NITI Aayog, Microsoft, IBM, Accel Partners, AWS, and Coinbase/Toshi. $17K+ in prizes for your Ethereum/Hyperledger projects.
Starting - kickoff notes for PhD Candidates of the ABC Program, at Politecnico di Milano, Italy (A=Architecture, B=Built Environment, C=Construction Engineering)
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.
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.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
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.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
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.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
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.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Full-RAG: A modern architecture for hyper-personalizationZilliz
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.
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
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.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
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.
2. “Show me the incentive
and I will show you the outcome.”
-Charlie Munger
3. Get people to do stuff
By rewarding with tokens
“Incentive Machine”
4. Design of Tokenized Ecosystems
From Mechanism Design to Token Engineering
Analysis: Synthesis:
Game theory Mechanism Design
Optimization Design
Practical
constraints
Engineering theory,
practice and tools
+ responsibility
Token Engineering for Analysis & Synthesis
5. Engineering
is the creative application of science,
mathematical methods, and empirical
evidence
to the innovation, design, construction,
operation and maintenance
of structures, machines, materials, devices,
systems, processes, and organizations.
9. Science → Engineering
•Engineering is about building things that work.
•Science is about contributing new knowledge.
•They're complementary.
Therefore token engineering is complementary to the
science of cryptoeconomics / token economics.
10. Token Design
1. Formulate the problem. Objectives,
constraints, design space.
2. Try existing building blocks. If needed, try
different formulations or blocks.
3. Design new block? Only if needed!
11. Token Verification
1. Human-based
• Share docs / whitepaper, get feedback
• Role-playing in a group game
• Card games. Think MTG
2. Software-based
• Simulation
• Verification
3. Economic
• Release the software / network with ever-increasing skin-in-the-
game
• Bounties++ over time
• Testnets with value
• ..
13. TE → TE Community
• A pleasant surprise to me: “Token Engineering” resonated
with a lot of people
• And many new connections for me.
• Many amazing conversations.
• A collective realization: we need to share knowledge, to
learn from each other!
18. Mission of the TE Community
To grow TE into an engineering discipline
collectively as a community
in a decentralized, permissionless, open-source fashion that all
can contribute to and all can use.
23. Trent McConaghy
@trentmc0 | Ocean Protocol
• Token Engineering = Theory + practice + tools + responsibility in the
creation of tokenized ecosystems.
• One framing: like an EA. We’ll see other approaches today.
• TE is a field we can all create together. Now is the time to start:)
Towards a #TokenEngineering Community