John F. Elder presented the top 10 data mining mistakes at the 2005 Salford Systems Data Mining Conference. The mistakes included lacking sufficient data, focusing only on model training accuracy, relying on a single data mining technique, asking the wrong business questions, only considering the data and not domain expertise, allowing leaks from future data, discounting anomalous cases, extrapolating models too far, trying to answer every inquiry instead of acknowledging uncertainty, casual sampling methods, and believing that the single best model is correct. Elder emphasized the importance of experience, multiple techniques, asking the right questions, incorporating domain knowledge, careful sampling, and model bundling to avoid these mistakes.
SafeguardAI and Surprise Based Learning -- Protect your AI solutions from Uni...NAVER Engineering
발표자: 류봉균(EpiSys Science, Inc. 대표)
발표일: 2018.3.
In this talk, I will introduce Surprise Based Learning (SBL), a novel machine learning algorithm founded on the concepts of Complementary Discrimination Learning first introduced by Dr. Wei-Min Shen and Nobel laureate professor Herbert Simon. In contrast to most competitive learning algorithms which focus on structured learning (e.g., Bayesian Networks, Hidden Markov Models) or parameter learning (e.g., Neural Networks, Deep Learning) SBL offers the best of both worlds, meaning that it is capable of learning both the structure (i.e., number of states) and the parameters (i.e., input/output correlation) of a system.
EpiSys Science (EpiSci) is adapting SBL for several application domains. One of them is SafeguardAI, which identify when and what the DL model observes is unfamiliar, and communicate to a human supervisor, ‘I’m not sure what to do. The key insight is to embed a set of well-positioned intelligent agents inside the neural nets during the DL training process. These agents will continuously live inside a trained DL model during runtime and report out-of-distribution inputs as “surprises” or unusual behaviors. DL solutions can use these intelligent agents to safeguard its decision-making process.
I will present several experimental results that demonstrate the effectiveness of the SafeguardAI, and discuss other areas of applications.
L6 handout maher mc carthy are you ready for this Helen Bevan
This is Learning Lab L6 "Design your way to better service" from the Institute for Healthcare Improvement (USA) 25th Annual National Forum on Quality Improvement in Health Care. The workshop, which took place on 8th December 2013 was led by Lynne Maher, Director of Innovation at Ko Awatea, New Zealand and Chris McCarthy, Director of the Innovation Learning Network, Kaiser Permanente. Design methods bring critical new insights and understanding about services and enhance our potential to transform services
IaaS Cloud Benchmarking: Approaches, Challenges, and ExperienceAlexandru Iosup
IaaS Cloud Benchmarking: Approaches, Challenges, and Experience
Impact Award lecture at MTAGS/ACM SC'12. URL: http://datasys.cs.iit.edu/events/MTAGS12/biggest-impact-award.html
Unit Testing Case Study for COJUG - 05.11.2010Nick Watts
Nick Watts' "Unit Testing Case Study: How Ohio Mutual Insurance Group Got Started" presentation. Presented to the Columbus Java Users Group on May 11th, 2010 in Dublin, Ohio.
SafeguardAI and Surprise Based Learning -- Protect your AI solutions from Uni...NAVER Engineering
발표자: 류봉균(EpiSys Science, Inc. 대표)
발표일: 2018.3.
In this talk, I will introduce Surprise Based Learning (SBL), a novel machine learning algorithm founded on the concepts of Complementary Discrimination Learning first introduced by Dr. Wei-Min Shen and Nobel laureate professor Herbert Simon. In contrast to most competitive learning algorithms which focus on structured learning (e.g., Bayesian Networks, Hidden Markov Models) or parameter learning (e.g., Neural Networks, Deep Learning) SBL offers the best of both worlds, meaning that it is capable of learning both the structure (i.e., number of states) and the parameters (i.e., input/output correlation) of a system.
EpiSys Science (EpiSci) is adapting SBL for several application domains. One of them is SafeguardAI, which identify when and what the DL model observes is unfamiliar, and communicate to a human supervisor, ‘I’m not sure what to do. The key insight is to embed a set of well-positioned intelligent agents inside the neural nets during the DL training process. These agents will continuously live inside a trained DL model during runtime and report out-of-distribution inputs as “surprises” or unusual behaviors. DL solutions can use these intelligent agents to safeguard its decision-making process.
I will present several experimental results that demonstrate the effectiveness of the SafeguardAI, and discuss other areas of applications.
L6 handout maher mc carthy are you ready for this Helen Bevan
This is Learning Lab L6 "Design your way to better service" from the Institute for Healthcare Improvement (USA) 25th Annual National Forum on Quality Improvement in Health Care. The workshop, which took place on 8th December 2013 was led by Lynne Maher, Director of Innovation at Ko Awatea, New Zealand and Chris McCarthy, Director of the Innovation Learning Network, Kaiser Permanente. Design methods bring critical new insights and understanding about services and enhance our potential to transform services
IaaS Cloud Benchmarking: Approaches, Challenges, and ExperienceAlexandru Iosup
IaaS Cloud Benchmarking: Approaches, Challenges, and Experience
Impact Award lecture at MTAGS/ACM SC'12. URL: http://datasys.cs.iit.edu/events/MTAGS12/biggest-impact-award.html
Unit Testing Case Study for COJUG - 05.11.2010Nick Watts
Nick Watts' "Unit Testing Case Study: How Ohio Mutual Insurance Group Got Started" presentation. Presented to the Columbus Java Users Group on May 11th, 2010 in Dublin, Ohio.
Universal health coverage as a concept was born in 1883 when Germany introduced health coverage for achieving health status of its young population.India, is still attempting to find a way for providing appropriate, affordable and accessible health care to its population.
Valencian Summer School 2015
Day 2
Lecture 15
Machine Learning - Black Art
Charles Parker (Alston Trading)
https://bigml.com/events/valencian-summer-school-in-machine-learning-2015
The talk deals with the recent success in AI, and how it is transferable to the medical domain. Despite the progress in machine learning, the medical domain has not profited so much from the hype.
Machine Learning for Incident Detection: Getting StartedSqrrl
This presentation walks you through the uses of machine learning in incident detection and response, outlining some of the basic features of machine learning and specific tools you can use.
Watch the presentation with audio here: https://www.youtube.com/watch?v=4pArapSIu_w
Universal health coverage as a concept was born in 1883 when Germany introduced health coverage for achieving health status of its young population.India, is still attempting to find a way for providing appropriate, affordable and accessible health care to its population.
Valencian Summer School 2015
Day 2
Lecture 15
Machine Learning - Black Art
Charles Parker (Alston Trading)
https://bigml.com/events/valencian-summer-school-in-machine-learning-2015
The talk deals with the recent success in AI, and how it is transferable to the medical domain. Despite the progress in machine learning, the medical domain has not profited so much from the hype.
Machine Learning for Incident Detection: Getting StartedSqrrl
This presentation walks you through the uses of machine learning in incident detection and response, outlining some of the basic features of machine learning and specific tools you can use.
Watch the presentation with audio here: https://www.youtube.com/watch?v=4pArapSIu_w
Presented at OECD Workshop on Systematic Reviews in the Scope of the Endocrine Disrupter Testing and Assessment (EDTA) Conceptual Framework Level 1 in Paris, France
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.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
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.
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.
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
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.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
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:
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.
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.