Nme 3107 technopreneurship for canvas june 17Charlton Inao
Technopreneurship is a philosophy, a way of building a career or perspective in life. The course covers the value of professional and life skills in entrepreneurial thought, investment decisions, and action that students can utilize in starting technology companies or exexuting R&D projects in companies as they start their careers.The net result is a positive outlook towards wealth creation, high value adding, and wellness in society.
The next industrial revolution, sometimes referred to as Industry 4.0, is already ongoing, fueled by technology advancements in big data, automation and cyber physical systems. To achieve their full potential, these new processes and operating models require high-performance connectivity. Ultra-reliable low latency communication (URLLC) is a new set of 5G NR capabilities, expected for 3GPP Release 16, that can enable operators and enterprises to address a diverse range of high-performance industrial use-cases. This webinar will investigate 5G NR, including the support for private industrial networks and URLLC capabilities. Using the "factory of the future" concept as an example, it will show how 5G NR can help to transform industrial IoT by making it more dynamic, flexible and adaptable to market demand.
Cyber Security and Post Quantum Cryptography By: Professor Lili SaghafiProfessor Lili Saghafi
Quantum computing has the potential to transform cybersecurity.
Some encryption algorithms are thought to be unbreakable, except by brute-force attacks.
Although brute-force attacks may be hard for classical computers, they would be easy for quantum computers making them susceptible to such attacks.
All financial institutions, government agencies healthcare information are in danger.
How could this new thrust of computing strength give us new tiers of power to analyze IT systems at a more granular level for security vulnerabilities and protect us through more complex layers of quantum cryptography?
CTO at Positive Technologies, Dmitry Kurbatov discusses what kind of security risks are associated with 5G telecommunications networks and to what extent thеse risks could be managed. Topics include:
• How the 5G core network will work, and how it differs from the current telecom infrastructure.
• Benefits that the innovative 5G slicing technology can bring, and what its security risks will be.
• What new protocols, interfaces, and infrastructure-enhancing technologies like network functions virtualization will take off in the near future.
• Compatibility concerns with 4G, 3G, and 2G networks. What does this mean for 5G?
Quantum Cryptography is the one of the most successul application of quantum computing/information theory.
cryptography is the coding and decoding of secret messages.
Quantum Key Distribution uses the laws of quantum mechanics, we can distribute keys in perfect secrecy.
Nme 3107 technopreneurship for canvas june 17Charlton Inao
Technopreneurship is a philosophy, a way of building a career or perspective in life. The course covers the value of professional and life skills in entrepreneurial thought, investment decisions, and action that students can utilize in starting technology companies or exexuting R&D projects in companies as they start their careers.The net result is a positive outlook towards wealth creation, high value adding, and wellness in society.
The next industrial revolution, sometimes referred to as Industry 4.0, is already ongoing, fueled by technology advancements in big data, automation and cyber physical systems. To achieve their full potential, these new processes and operating models require high-performance connectivity. Ultra-reliable low latency communication (URLLC) is a new set of 5G NR capabilities, expected for 3GPP Release 16, that can enable operators and enterprises to address a diverse range of high-performance industrial use-cases. This webinar will investigate 5G NR, including the support for private industrial networks and URLLC capabilities. Using the "factory of the future" concept as an example, it will show how 5G NR can help to transform industrial IoT by making it more dynamic, flexible and adaptable to market demand.
Cyber Security and Post Quantum Cryptography By: Professor Lili SaghafiProfessor Lili Saghafi
Quantum computing has the potential to transform cybersecurity.
Some encryption algorithms are thought to be unbreakable, except by brute-force attacks.
Although brute-force attacks may be hard for classical computers, they would be easy for quantum computers making them susceptible to such attacks.
All financial institutions, government agencies healthcare information are in danger.
How could this new thrust of computing strength give us new tiers of power to analyze IT systems at a more granular level for security vulnerabilities and protect us through more complex layers of quantum cryptography?
CTO at Positive Technologies, Dmitry Kurbatov discusses what kind of security risks are associated with 5G telecommunications networks and to what extent thеse risks could be managed. Topics include:
• How the 5G core network will work, and how it differs from the current telecom infrastructure.
• Benefits that the innovative 5G slicing technology can bring, and what its security risks will be.
• What new protocols, interfaces, and infrastructure-enhancing technologies like network functions virtualization will take off in the near future.
• Compatibility concerns with 4G, 3G, and 2G networks. What does this mean for 5G?
Quantum Cryptography is the one of the most successul application of quantum computing/information theory.
cryptography is the coding and decoding of secret messages.
Quantum Key Distribution uses the laws of quantum mechanics, we can distribute keys in perfect secrecy.
Neo4j Spatial - Backing a GIS with a true graph databaseCraig Taverner
Geographic data is naturally structured like a graph, and topological analyses view GIS data as graphs, but until now no-one has tried to make use of a real graph database as the backing store for a GIS. The developers of Neo4j have added features to the popular open source graph database to provide for support for spatial indexing, storage and topology. In addition to these core components, there are a number of useful utilities for importing and exporting data from other popular data sources, and enabling the use of this database in well known libraries and applications in the open source GIS environment.
We will discuss the advantages of using a graph database for geographic data, the performance and scalability implications, and the opportunities enabled by this approach. In today's highly connected social web, there is an increasing need for graph-based data management. At the same time applications are becoming more and more location aware. The time is right for the first geographic graph database.
Driving Predictive Roadway Analytics with the Power of Neo4jNeo4j
This talk will present how a small start-up (Waveonics) with no prior graphical database experience employed the simplicity, versatility and flexibility of Neo4j to handle the complex and dynamic roadway conditions found in crowdsourced street map data. We map the route taken to transit from a relational to graphical data model in support of the next generation roadside service applications for an established leader in the roadside service industry (Agero). We will show how Waveonics and Agero used Neo4j to detect and understand changing roadway conditions in order to identify emerging trends and thereby improve driver safety and the driving experience.
Recent advances in mobile device sensors, GPS location services, communication technology, crowdsourced data acquisition, affordable cloud storage, machine learning and data analytics, has opened the door to an exciting world of new services. Capitalizing on these opportunities requires providers continually organize, store, manage, access and update terabytes of information efficiently. They need databases that are powerful enough to model the complexities of the business environment and easy to modify as the environment evolves - without sacrificing the performance demanded by data analytics. Waveonics is working with Agero Mobile to explore and validate the use of graphical databases (Neo4j) to drive Agero’s mission of delivering a “holistic approach [which] helps anticipate and meet customers’ needs in a way that forms lasting connections with them.” Agero is building on Neo4j to further its leadership position in the automotive, insurance, finance and roadside service industries.
Waveonics will outline best practices used to convert 175 GB of XML relational US street map data obtained from the Open Street Map (OSM) project into a Neo4j graph database in order to successfully enable predictive roadway analytics for Agero. Attendees will learn how Neo4j’s graph data model and Cypher query language effortlessly supported an elegant representation of street map data, continually updated from customer mobile sensors, to reflect evolving road conditions.
Wanderu - Lessons from Building a Travel Site with Neo4jNeo4j
Wanderu is a consumer-focused search engine for buses and trains. In this webinar, we will recount the architectural, modeling and other technical "lessons learned" and "lessons unlearned" in implementing our geospatial and search features using Neo4j in the context of a NoSQL polyglot solution.
Speaker: Eddy Wong, CTO, Wanderu
A technologist, innovator and entrepreneur who has architected products and web sites for companies like Hasbro, Maark, Allurent, Macromedia, Allaire, Open Sesame, Philips and AT&T. He was the Chief Architect at Open Sesame where he built one of the first attribute-based personalization engines. Eddy has over 15 years of experience as a software architect and is a Boston tech-community leader in the areas of NoSQL, Big Data and Personalization. He is also the organizer of the Boston GraphDB Meetup.
Neo4j is a powerful and expressive tool for storing, querying and manipulating data. However modeling data as graphs is quite different from modeling data under a relational database. In this talk, Michael Hunger will cover modeling business domains using graphs and show how they can be persisted and queried in Neo4j. We'll contrast this approach with the relational model, and discuss the impact on complexity, flexibility and performance.
ULPGC2023-Erasmus+lectures_Ales_Zamuda_SystemsTheory+IntelligentAutonomousSys...University of Maribor
Aleš Zamuda: ULPGC 2023 Erasmus+ Lecture Series from the Teaching Programme "Optimization Algorithms and Autonomous Systems".
ERASMUS+ STAFF MOBILITY FOR TEACHING (STA)
Staff mobility-Erasmus+ programme countries (KA103)
Faculty of Electrical Engineering and Computer Science (University of Maribor, SI MARIBOR01)
Escuela de Ingenierı́a Informática (Universiad de Las Palmas de Gran Canaria, E LAS-PAL01)
From 6/March/2023 to 24/March/2023 at Campus de Tafira, Las Palmas de Gran Canaria, Spain
Part I: Differential Evolution and Large-Scale Optimization Applications
Part II: HPC Integrated Data Analysis Pipelines for Underwater Glider Path Planning
Part III: Success history applied to expert system for underwater glider path planning
using differential evolution, with prospects for Machine Learning and Research
Monitoring your App in Kubernetes with PrometheusLuke Marsden
This talk gives an introduction to the Prometheus data model and PromQL, building up a simple PromQL expression and explaining what's happening under the hood at each stage. The architecture of Prometheus is shown as well as its limitations, and a distributed version of Prometheus, Weave Cortex, is proposed. Finally, an explanation of how Kubernetes and Prometheus have sympathetic designs is given.
Slides of QCon London 2016 talk. How stream processing is used within the Uber's Marketplace system to solve a wide range problems, including but not limited to realtime indexing and querying of geospatial time series, aggregation and computing of streaming data, and extracting patterns from data streams. In addition, it will touch upon various TimeSeries analysis and predictions. The underlying systems utilize many open source technologies such as Apache Kafka, Samza and Spark streaming.
Monitoring your Application in Kubernetes with Prometheus Weaveworks
Monitoring microservices with Prometheus
- Prometheus philosophy & concepts
- Prometheus architecture
- Hands on: Using kubectl to make changes to running Kubernetes cluster
Neo4j Spatial - Backing a GIS with a true graph databaseCraig Taverner
Geographic data is naturally structured like a graph, and topological analyses view GIS data as graphs, but until now no-one has tried to make use of a real graph database as the backing store for a GIS. The developers of Neo4j have added features to the popular open source graph database to provide for support for spatial indexing, storage and topology. In addition to these core components, there are a number of useful utilities for importing and exporting data from other popular data sources, and enabling the use of this database in well known libraries and applications in the open source GIS environment.
We will discuss the advantages of using a graph database for geographic data, the performance and scalability implications, and the opportunities enabled by this approach. In today's highly connected social web, there is an increasing need for graph-based data management. At the same time applications are becoming more and more location aware. The time is right for the first geographic graph database.
Driving Predictive Roadway Analytics with the Power of Neo4jNeo4j
This talk will present how a small start-up (Waveonics) with no prior graphical database experience employed the simplicity, versatility and flexibility of Neo4j to handle the complex and dynamic roadway conditions found in crowdsourced street map data. We map the route taken to transit from a relational to graphical data model in support of the next generation roadside service applications for an established leader in the roadside service industry (Agero). We will show how Waveonics and Agero used Neo4j to detect and understand changing roadway conditions in order to identify emerging trends and thereby improve driver safety and the driving experience.
Recent advances in mobile device sensors, GPS location services, communication technology, crowdsourced data acquisition, affordable cloud storage, machine learning and data analytics, has opened the door to an exciting world of new services. Capitalizing on these opportunities requires providers continually organize, store, manage, access and update terabytes of information efficiently. They need databases that are powerful enough to model the complexities of the business environment and easy to modify as the environment evolves - without sacrificing the performance demanded by data analytics. Waveonics is working with Agero Mobile to explore and validate the use of graphical databases (Neo4j) to drive Agero’s mission of delivering a “holistic approach [which] helps anticipate and meet customers’ needs in a way that forms lasting connections with them.” Agero is building on Neo4j to further its leadership position in the automotive, insurance, finance and roadside service industries.
Waveonics will outline best practices used to convert 175 GB of XML relational US street map data obtained from the Open Street Map (OSM) project into a Neo4j graph database in order to successfully enable predictive roadway analytics for Agero. Attendees will learn how Neo4j’s graph data model and Cypher query language effortlessly supported an elegant representation of street map data, continually updated from customer mobile sensors, to reflect evolving road conditions.
Wanderu - Lessons from Building a Travel Site with Neo4jNeo4j
Wanderu is a consumer-focused search engine for buses and trains. In this webinar, we will recount the architectural, modeling and other technical "lessons learned" and "lessons unlearned" in implementing our geospatial and search features using Neo4j in the context of a NoSQL polyglot solution.
Speaker: Eddy Wong, CTO, Wanderu
A technologist, innovator and entrepreneur who has architected products and web sites for companies like Hasbro, Maark, Allurent, Macromedia, Allaire, Open Sesame, Philips and AT&T. He was the Chief Architect at Open Sesame where he built one of the first attribute-based personalization engines. Eddy has over 15 years of experience as a software architect and is a Boston tech-community leader in the areas of NoSQL, Big Data and Personalization. He is also the organizer of the Boston GraphDB Meetup.
Neo4j is a powerful and expressive tool for storing, querying and manipulating data. However modeling data as graphs is quite different from modeling data under a relational database. In this talk, Michael Hunger will cover modeling business domains using graphs and show how they can be persisted and queried in Neo4j. We'll contrast this approach with the relational model, and discuss the impact on complexity, flexibility and performance.
ULPGC2023-Erasmus+lectures_Ales_Zamuda_SystemsTheory+IntelligentAutonomousSys...University of Maribor
Aleš Zamuda: ULPGC 2023 Erasmus+ Lecture Series from the Teaching Programme "Optimization Algorithms and Autonomous Systems".
ERASMUS+ STAFF MOBILITY FOR TEACHING (STA)
Staff mobility-Erasmus+ programme countries (KA103)
Faculty of Electrical Engineering and Computer Science (University of Maribor, SI MARIBOR01)
Escuela de Ingenierı́a Informática (Universiad de Las Palmas de Gran Canaria, E LAS-PAL01)
From 6/March/2023 to 24/March/2023 at Campus de Tafira, Las Palmas de Gran Canaria, Spain
Part I: Differential Evolution and Large-Scale Optimization Applications
Part II: HPC Integrated Data Analysis Pipelines for Underwater Glider Path Planning
Part III: Success history applied to expert system for underwater glider path planning
using differential evolution, with prospects for Machine Learning and Research
Monitoring your App in Kubernetes with PrometheusLuke Marsden
This talk gives an introduction to the Prometheus data model and PromQL, building up a simple PromQL expression and explaining what's happening under the hood at each stage. The architecture of Prometheus is shown as well as its limitations, and a distributed version of Prometheus, Weave Cortex, is proposed. Finally, an explanation of how Kubernetes and Prometheus have sympathetic designs is given.
Slides of QCon London 2016 talk. How stream processing is used within the Uber's Marketplace system to solve a wide range problems, including but not limited to realtime indexing and querying of geospatial time series, aggregation and computing of streaming data, and extracting patterns from data streams. In addition, it will touch upon various TimeSeries analysis and predictions. The underlying systems utilize many open source technologies such as Apache Kafka, Samza and Spark streaming.
Monitoring your Application in Kubernetes with Prometheus Weaveworks
Monitoring microservices with Prometheus
- Prometheus philosophy & concepts
- Prometheus architecture
- Hands on: Using kubectl to make changes to running Kubernetes cluster
A Grid Computing Platform where Communication Function is in Balance with Computation and Storage.
Lambda Data Grid Service architecture interacts with Cyber-infrastructure, and overcomes data limitations efficiently & effectively by:
treating the “network” as a primary resource just like “storage” and “computation”
treating the “network” as a “scheduled resource”
relying upon a massive, dynamic transport infrastructure: Dynamic Optical Network
Atelier - Architecture d’applications de Graphes - GraphSummit ParisNeo4j
Atelier - Architecture d’applications de Graphes
Participez à cet atelier pratique animé par des experts de Neo4j qui vous guideront pour découvrir l’intelligence contextuelle. En utilisant un jeu de données réel, nous construirons étape par étape une solution de graphes ; de la construction du modèle de données de graphes à l’exécution de requêtes et à la visualisation des données. L’approche sera applicable à de multiples cas d’usages et industries.
Atelier - Innover avec l’IA Générative et les graphes de connaissancesNeo4j
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
Neo4j - Product Vision and Knowledge Graphs - GraphSummit ParisNeo4j
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
Neo4j - Product Vision and Knowledge Graphs - GraphSummit ParisNeo4j
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
SOPRA STERIA - GraphRAG : repousser les limitations du RAG via l’utilisation ...Neo4j
Romain CAMPOURCY – Architecte Solution, Sopra Steria
Patrick MEYER – Architecte IA Groupe, Sopra Steria
La Génération de Récupération Augmentée (RAG) permet la réponse à des questions d’utilisateur sur un domaine métier à l’aide de grands modèles de langage. Cette technique fonctionne correctement lorsque la documentation est simple mais trouve des limitations dès que les sources sont complexes. Au travers d’un projet que nous avons réalisé, nous vous présenterons l’approche GraphRAG, une nouvelle approche qui utilise une base Neo4j générée pour améliorer la compréhension des documents et la synthèse d’informations. Cette méthode surpasse l’approche RAG en fournissant des réponses plus holistiques et précises.
ADEO - Knowledge Graph pour le e-commerce, entre challenges et opportunités ...Neo4j
Charles Gouwy, Business Product Leader, Adeo Services (Groupe Leroy Merlin)
Alors que leur Knowledge Graph est déjà intégré sur l’ensemble des expériences d’achat de leur plateforme e-commerce depuis plus de 3 ans, nous verrons quelles sont les nouvelles opportunités et challenges qui s’ouvrent encore à eux grâce à leur utilisation d’une base de donnée de graphes et l’émergence de l’IA.
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
Sudhir Hasbe, Chief Product Officer, 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.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
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.
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.
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.
GraphAware - Transforming policing with graph-based intelligence analysisNeo4j
Petr Matuska, Sales & Sales Engineering Lead, GraphAware
Western Australia Police Force’s adoption of Neo4j and the GraphAware Hume graph analytics platform marks a significant advancement in data-driven policing. Facing the challenges of growing volumes of valuable data scattered in disconnected silos, the organisation successfully implemented Neo4j database and Hume, consolidating data from various sources into a dynamic knowledge graph. The result was a connected view of intelligence, making it easier for analysts to solve crime faster. The partnership between Neo4j and GraphAware in this project demonstrates the transformative impact of graph technology on law enforcement’s ability to leverage growing volumes of valuable data to prevent crime and protect communities.
GraphSummit Stockholm - Neo4j - Knowledge Graphs and Product UpdatesNeo4j
David Pond, Lead Product Manager, 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.
Shirley Bacso, Data Architect, Ingka Digital
“Linked Metadata by Design” represents the integration of the outcomes from human collaboration, starting from the design phase of data product development. This knowledge is captured in the Data Knowledge Graph. It not only enables data products to be robust and compliant but also well-understood and effectively utilized.
Your enemies use GenAI too - staying ahead of fraud with Neo4jNeo4j
Delivered by Michael Down at Gartner Data & Analytics Summit London 2024 - Your enemies use GenAI too: Staying ahead of fraud with Neo4j.
Fraudsters exploit the latest technologies like generative AI to stay undetected. Static applications can’t adapt quickly enough. Learn why you should build flexible fraud detection apps on Neo4j’s native graph database combined with advanced data science algorithms. Uncover complex fraud patterns in real-time and shut down schemes before they cause damage.
BT & Neo4j _ How Knowledge Graphs help BT deliver Digital Transformation.pptxNeo4j
Delivered by Sreenath Gopalakrishna, Director of Software Engineering at BT, and Dr Jim Webber, Chief Scientist at Neo4j, at Gartner Data & Analytics Summit London 2024 this presentation examines how knowledge graphs and GenAI combine in real-world solutions.
BT Group has used the Neo4j Graph Database to enable impressive digital transformation programs over the last 6 years. By re-imagining their operational support systems to adopt self-serve and data lead principles they have substantially reduced the number of applications and complexity of their operations. The result has been a substantial reduction in risk and costs while improving time to value, innovation, and process automation. Future innovation plans include the exploration of uses of EKG + Generative AI.
Workshop: Enabling GenAI Breakthroughs with Knowledge Graphs - GraphSummit MilanNeo4j
Look beyond the hype and unlock practical techniques to responsibly activate intelligence across your organization’s data with GenAI. Explore how to use knowledge graphs to increase accuracy, transparency, and explainability within generative AI systems. You’ll depart with hands-on experience combining relationships and LLMs for increased domain-specific context and enhanced reasoning.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Enhancing Performance with Globus and the Science DMZGlobus
ESnet has led the way in helping national facilities—and many other institutions in the research community—configure Science DMZs and troubleshoot network issues to maximize data transfer performance. In this talk we will present a summary of approaches and tips for getting the most out of your network infrastructure using Globus Connect Server.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
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.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
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/
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.
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.
Welcome to the first live UiPath Community Day Dubai! Join us for this unique occasion to meet our local and global UiPath Community and leaders. You will get a full view of the MEA region's automation landscape and the AI Powered automation technology capabilities of UiPath. Also, hosted by our local partners Marc Ellis, you will enjoy a half-day packed with industry insights and automation peers networking.
📕 Curious on our agenda? Wait no more!
10:00 Welcome note - UiPath Community in Dubai
Lovely Sinha, UiPath Community Chapter Leader, UiPath MVPx3, Hyper-automation Consultant, First Abu Dhabi Bank
10:20 A UiPath cross-region MEA overview
Ashraf El Zarka, VP and Managing Director MEA, UiPath
10:35: Customer Success Journey
Deepthi Deepak, Head of Intelligent Automation CoE, First Abu Dhabi Bank
11:15 The UiPath approach to GenAI with our three principles: improve accuracy, supercharge productivity, and automate more
Boris Krumrey, Global VP, Automation Innovation, UiPath
12:15 To discover how Marc Ellis leverages tech-driven solutions in recruitment and managed services.
Brendan Lingam, Director of Sales and Business Development, Marc Ellis
5. The Focus…
Travel & Transport (Manchester)
Open Data
Open Source
Metrolink System (25 Million Journeys p/a)
Tech: Not Only SQL
• Neo4J
Experiment with Graph database as way of
modeling a travel network
Everything in the Cloud (AWS)
8. Tram Data…
Tabular Data in text file (General Transit Feed Specification)
250 Cities publish GTFS data
http://www.gtfs-data-exchange.com/agency/mta-new-york-citytransit/
Stops
Stop_id
Stop
Times
Trip_id
Trips
Service_id
Route_id
Routes
Calendar
9. Earliest Arrival Time Problem
Earliest Arrival Time (EAT) attempts to find the path through a
network from source to destination, such that given a start time T
we arrive at the destination at the earliest possible time after T.
15. Different Graph at each point in time…
Example: A -> E
A
B
D
C
E
9:30 AM / Friday
F
16. Different Graph at each point in time…
Example: A -> E
A
B
D
C
E
9:30 AM / Saturday
F
17. Different Graph at each point in time…
Example: A -> E
A
B
D
C
E
10:00 AM / Saturday
F
18. Modeling Time
Time Expanded Model
• Model temporal events as Nodes –
– Arrivals
– Department
– Transfers
• Duration as edge weight, use Dijkstra to find EAT
Time Dependent Model
• Model temporal data as properties
• Model all distinct routes with 2 Node types –
Station
Station Route
• Use modified Dijsktra to perform Travel Time Function
during traversal
24. Path Expander
The traversal framework use PathExpanders to discover
the relationships that should be followed from a
particular path to further branches in the traversal.
public class TripPathExpander implements PathExpander<GraphState>
{
public Iterable<Relationship> expand(…) {
}
}
27. Traversal Framework
Declarative Java API
It enables the user to specify a set of constraints that limit the parts
of the graph the traversal is allowed to visit
Can specify which relationship types to follow, and in which
direction (effectively specifying relationship filters)
Can specify a user-defined path evaluator that is triggered with each
node encountered