How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
Graph databases provide the ability to quickly discover and integrate key relationships between enterprise data sets. Business use cases such as recommendation engines, social networks, enterprise knowledge graphs, and more provide valuable ways to leverage graph databases in your organization. This webinar will provide an overview of graph database technologies, and how they can be used for practical applications to drive business value.
Usage of Linked Data: Introduction and Application ScenariosEUCLID project
This presentation introduces the main principles of Linked Data, the underlying technologies and background standards. It provides basic knowledge for how data can be published over the Web, how it can be queried, and what are the possible use cases and benefits. As an example, we use the development of a music portal (based on the MusicBrainz dataset), which facilitates access to a wide range of information and multimedia resources relating to music.
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.
This document discusses graph data science and Neo4j's capabilities. It describes how Neo4j can help simplify graph data science through its native graph database, graph data science library, and data visualization tool. Example use cases are also provided that demonstrate how Neo4j has helped companies with fraud detection, customer journey analysis, supply chain management, and patient outcomes.
Data lineage is a regulatory and internal requirement with potential to deliver significant operational and business benefits, but financial institutions can find it difficult to implement and complex to maintain as systems and regulatory requirements themselves, change quickly. The importance of understanding where the true source of the data is coming from, where the data flows to and what has changed cannot be overstated. The webinar defines data lineage and discuss implementation through the eyes of those that have implemented and sustained successful lineage solutions with significant benefits.
Listen to the webinar to find out about:
- Data management for data lineage
- Winning buy-in for projects
- Best practice implementation
- Operational and business benefits
- Expert practitioner advice
This presentation covers several aspects of modeling data and domains with a graph database like Neo4j. The graph data model allows high fidelity modeling. Using the first class relationships of the graph model allow to use much higher forms of normalization than you would use in a relational database.
Video here: https://vimeo.com/67371996
Neptune is a Graph database, but what is a graph database, when should it be used and how? Come to this sessions and learn about Neptune and the different use cases for graph databases and how it can be used, including demos.
This document discusses using locality sensitive hashing (LSH) to detect trips with overlapping routes in large GPS datasets. It describes challenges with noisy GPS data and large search spaces. The approach involves representing trips as sets of area segments, computing Jaccard similarity, and using MinHash to map similar trips to the same buckets with high probability. Multiple hash functions are applied to increase probability. Approaches for efficient distributed processing on Spark are discussed, including reducing network usage. Future work involves migrating to Spark ML APIs and handling streaming inserts.
This training module introduces Resource Description Framework (RDF) for describing data, including representing data as triples, graphs and syntax; it also introduces the SPARQL query language for querying and manipulating RDF data, covering SELECT, CONSTRUCT, DESCRIBE, and ASK query types and the structure of SPARQL queries. The module provides learning objectives and an overview of the content which includes an introduction to RDF and SPARQL with examples and pointers to further resources.
A Knowledge Graph for Reaction & Synthesis Prediction (AstraZeneca)Neo4j
The document summarizes the development of a reaction knowledge graph (RKG) by AstraZeneca to predict novel chemical reactions and assist in synthesis planning. Key points include:
1) The RKG integrates reaction and molecule data from multiple sources and enriches the data with identifiers, templates, and other metadata.
2) Graph analytics and machine learning models are used to provide insights into reaction patterns and predict new reactions and syntheses.
3) Future work includes expanding the RKG with AstraZeneca's full collection and developing link prediction workflows to further support computer-aided synthesis prediction.
Graph databases are a type of NoSQL database that is optimized for storing and querying connected data and relationships. A graph database represents data in graphs consisting of nodes and edges, where the nodes represent entities and the edges represent relationships between the entities. Graph databases are well-suited for applications that involve complex relationships and connected data, such as social networks, knowledge graphs, and recommendation systems. They allow for flexible querying of relationships and connections via graph traversal operations.
This document provides case studies on how several companies leverage big data, including Google, GE, Cornerstone, and Microsoft. The Google case study describes how Google processes billions of search queries daily and uses this data to continuously improve its search algorithms. The GE case study outlines how GE collects vast amounts of sensor data from power turbines, jet engines, and other industrial equipment to optimize operations and efficiency. The Cornerstone case study examines how Cornerstone uses employee data to help clients predict retention and performance. Finally, the Microsoft case study discusses how Microsoft has positioned itself as a major player in big data and offers data hosting and analytics services.
Relational databases were conceived to digitize paper forms and automate well-structured business processes, and still have their uses. But RDBMS cannot model or store data and its relationships without complexity, which means performance degrades with the increasing number and levels of data relationships and data size. Additionally, new types of data and data relationships require schema redesign that increases time to market.
A graph database like Neo4j naturally stores, manages, analyzes, and uses data within the context of connections meaning Neo4j provides faster query performance and vastly improved flexibility in handling complex hierarchies than SQL. Join this webinar to learn why companies are shifting away from RDBMS towards graphs to unlock the business value in their data relationships.
Ryan Boyd, Developer Relations at Neo4j
Ryan is a SF-based software engineer focused on helping developers understand the power of graph databases. Previously he was a product manager for architectural software, built applications and web hosting environments for higher education, and worked in developer relations for twenty products during his 8 years at Google. He enjoys cycling, sailing, skydiving, and many other adventures when not in front of his computer.
Apache Atlas provides centralized metadata services and cross-component dataset lineage tracking for Hadoop components. It aims to enable transparent, reproducible, auditable and consistent data governance across structured, unstructured, and traditional database systems. The near term roadmap includes dynamic access policy driven by metadata and enhanced Hive integration. Apache Atlas also pursues metadata exchange with non-Hadoop systems and third party vendors through REST APIs and custom reporters.
University of Liverpool Researcher KnowHow session presented by Judith Carr.
At the end of this session you will know what the FAIR data principles are, what is required and be in a position to think how these would relate to your research practice.
The document is a presentation by Manash Ranjan Rautray on introducing graph databases and Neo4j. It discusses what a graph and graph database are, provides examples to illustrate graphs, and covers the basics of using Neo4j including its data model, query language Cypher, and real-world use cases for graph databases. The presentation aims to explain the concepts and capabilities of Neo4j for storing and querying connected data.
Semantics for Technical Interoperability and Safer Transport: The Case Of Th...Ivo Velitchkov
This is the deck from my talk at SEMANTiCS 2021 in Amsterdam, within the Workshop on Rethinking Asset Information Management.
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The European Interoperability Framework (EIF) identifies four levels of interoperability, two of which are semantic and technical interoperability. Technical interoperability in the context of EIF is that between digital services. In the transport domain, however, the main need is for technical interoperability between physical assets. And it is crucial for safety. The role of semantic interoperability is also somewhat different. It doesn't enter as an upper layer but as enabler.
The first Linked Data pilot at the EU Agency for Railways addressed a problem of interoperability between physical assets – track and trains – by increasing the interoperability of their datasets. And while many Linked Data projects focus on the backend and publication, this one delivered a full-stack solution in a very short time that convinced the board to adopt Linked Data as the default paradigm for data management.
Five-star Deployment Scheme for Linked DataIvo Velitchkov
This is the deck from my talk at the ENDORSE conference. You the recording of the session along with more information in this blog post https://www.strategicstructures.com/?p=2193
Management Cybernetics has its models and language. They are extremely valuable when discussing with peers and for the advancement of the discipline. Yet, they limit the accessibility of the wider audience to these ideas. What’s more, they limit the spread of the mindset and skills needed for systemic change.
In this session, at Mataphorum 2019, I shared how I'm teaching my version of management cybernetics. It works without models and without the language of channels, transducers, amplifiers, and attenuators. Without even using the word “system”. Instead, this a way of helping leaders to work on their skills for diagnosis and design, by building observational and thinking habits, related to three organisational balances: autonomy-cohesion, diversity-stability, and exploration-exploitation
What can Social Systems Theory bring to the VSM?Ivo Velitchkov
The slides supporting my talk at the Metaphorum conference in Düsseldorf. You can also watch them with the animations here: https://www.youtube.com/watch?v=0YNFAXiqbQc .
These are the slides I used for my talk at the Enterprise Architecture Summer School 2018 in Copenhagen. You can see them with animations here: https://youtu.be/oQbSwr_N1H8.
The talk is an overview of the way I practice Enterprise Architecture. It is based on a combination of two ostensibly incompatible paradigms.
When organisation and projects are seriously regarded as social systems, the most striking realisation is that they are created by - and full of - paradoxes. Understanding and working with these paradoxes will help project managers deal with the increasing complexity when methodologies and good practices reach their limits of applicability and KPIs are not helpful anymore in steering projects. It will not be an easy task as the Western culture has been trying for centuries to avoid paradoxes. But the efforts will pay off. The new skills will bring unconventional and useful perspective on project communications and decisions. It will help realise and work with the unavoidable divergence between project success and client satisfaction. And it will bring new understanding of the function and dynamics of trust in projects.
These are the slides from my talk at the PMI Congress 2017 in Affligem, Belgium. It is an invitation to look at projects through social systems glasses, a complementary set to that of Essential Balances - http://www.essentialbalances.com/ .
You can watch the same slides with animations on YouTube: https://youtu.be/6QwIAqKl8mA .
Essential Balances In Organisations (workshop)Ivo Velitchkov
(Note: you can play the actual Prezi and get more information at http://www.strategicstructures.com/?page_id=1101)
In any organisation, regardless of sector, size, complexity or structure, certain balances are essential for its performance and adaptability. These include balancing autonomy and cohesion, maintaining diversity and stability, and navigating between exploration and exploitation. They can be seen at different levels – network of organisations, within organisation, department, team or individual – and they are equally important at each level.
For an organisation to be healthy, management needs to be able to sense when one or more of these falls out of balance – and act accordingly. This ability can help to quickly diagnose complex situations and to make better strategic and operational decisions. It is even more valuable to be able to grow the organisation in a way that its harmony and adaptability come naturally. That will not happen by adopting best practices, but by cultivating different thinking habits.
This workshop demonstrates what it means to have that and helps in making the first steps.
(Note: you can play the actual prezi at http://www.strategicstructures.com/?p=1008)
These are my slides from the conference "Managing Complexity with the Viable Systems Model: Theory, Applications and Innovative Research", 11 - 13 November 2015, Hull UK.
Here is the full program http://www2.hull.ac.uk/hubs/news-events/events/css-metaphorum.aspx. I'll add the link to the rest of the presentations when available.
In any organisation, regardless of its sector, size, complexity or type of organisational structure, there are certain balances which are essential for the organisational health and performance. These include balancing autonomy and cohesion, maintaining diversity and stability and finding the right time and way of shifting between exploration and exploitation mode. Getting a better understanding of these balances can help managers keep their organisations viable by quickly diagnosing complex situations and making better strategic and operational decisions.
Language and Meta-language for Enterprise ArchitectureIvo Velitchkov
To describe the architectures of enterprises, we need a language that can help learn more from what we know already and does not ignore what we currently don't know. But that's not enough. We also need language to talk about autonomy and adaptivity.
(Some clarification available here http://www.strategicstructures.com/?p=806)
New take on Requisite Inefficiency, extending and clarifying what happens when time, luck and uncertainty are taken into account. A bit more clear on redundancy, degeneracy and exaptation. There are also new examples, including startups and kids play, and a new rendition of VSM is used for some of the explanations.
(Version 2 is replaced by version 3; version 1 is kept)
Driven by market forces, organisations struggle to produce more or better with less. In times of crisis that seems to grow into a condition for survival. And yet, clearing all inefficiencies or not the right ones, could have just the opposite effect.
(Through the lenses of Ashby's law: Both organisms and the social systems they create need some excess of variety in any given moment to have requisite variety for their viability in the long run.)
Some inefficiency is not just good to have,
it is needed for survival.
Using Enterprise Architecture to harmonise national legislationIvo Velitchkov
The document discusses a project that used enterprise architecture to harmonize national legislation according to the EU Services Directive, with the goal of modernizing and simplifying regulatory frameworks. It outlines the project approach, which involved modeling public services, administrative procedures, and related legal requirements using viewpoints. The project helped identify needed interactions between government authorities and opportunities to improve processes, simplify compliance, and enable e-government capabilities.
That's part of the section about "Control" from a "Changing the way we think about quality" presentation I did earlier this year.
It's yet another attempt to explain the law of requisite variety. I hope it has some value outside the context of the presentation of which it was part.
This document discusses reasoning with taskless BPMN models. It argues that removing tasks from BPMN allows models to absorb more variety and complexity while dealing with uncertainty. Semantic technologies can enable open and natural descriptions as well as rule-based execution through inference. The goal is to develop leaner and more flexible BPMN models and an open enterprise architecture.
Intel Unveils Core Ultra 200V Lunar chip .pdfTech Guru
Intel has made a significant breakthrough in the world of processors with the introduction of its Core Ultra 200V mobile processor series, codenamed Lunar Lake. This innovative processor marks a fundamental shift in the way Intel creates processors, with a high degree of aggregation, including memory-on-package (MoP). The Core Ultra 300 MX series is designed to power thin-and-light devices that are capable of handling the latest AI applications, including Microsoft's Copilot+ experiences.
How UiPath Discovery Suite supports identification of Agentic Process Automat...DianaGray10
📚 Understand the basics of the newly persona-based LLM-powered Agentic Process Automation and discover how existing UiPath Discovery Suite products like Communication Mining, Process Mining, and Task Mining can be leveraged to identify APA candidates.
Topics Covered:
💡 Idea Behind APA: Explore the innovative concept of Agentic Process Automation and its significance in modern workflows.
🔄 How APA is Different from RPA: Learn the key differences between Agentic Process Automation and Robotic Process Automation.
🚀 Discover the Advantages of APA: Uncover the unique benefits of implementing APA in your organization.
🔍 Identifying APA Candidates with UiPath Discovery Products: See how UiPath's Communication Mining, Process Mining, and Task Mining tools can help pinpoint potential APA candidates.
🔮 Discussion on Expected Future Impacts: Engage in a discussion on the potential future impacts of APA on various industries and business processes.
Enhance your knowledge on the forefront of automation technology and stay ahead with Agentic Process Automation. 🧠💼✨
Speakers:
Arun Kumar Asokan, Delivery Director (US) @ qBotica and UiPath MVP
Naveen Chatlapalli, Solution Architect @ Ashling Partners and UiPath MVP
Redefining Cybersecurity with AI CapabilitiesPriyanka Aash
In this comprehensive overview of Cisco's latest innovations in cybersecurity, the focus is squarely on resilience and adaptation in the face of evolving threats. The discussion covers the imperative of tackling Mal information, the increasing sophistication of insider attacks, and the expanding attack surfaces in a hybrid work environment. Emphasizing a shift towards integrated platforms over fragmented tools, Cisco introduces its Security Cloud, designed to provide end-to-end visibility and robust protection across user interactions, cloud environments, and breaches. AI emerges as a pivotal tool, from enhancing user experiences to predicting and defending against cyber threats. The blog underscores Cisco's commitment to simplifying security stacks while ensuring efficacy and economic feasibility, making a compelling case for their platform approach in safeguarding digital landscapes.
This PDF delves into the aspects of information security from a forensic perspective, focusing on privacy leaks. It provides insights into the methods and tools used in forensic investigations to uncover and mitigate privacy breaches in mobile and cloud environments.
Connector Corner: Leveraging Snowflake Integration for Smarter Decision MakingDianaGray10
The power of Snowflake analytics enables CRM systems to improve operational efficiency, while gaining deeper insights into closed/won opportunities.
In this webinar, learn how infusing Snowflake into your CRM can quickly provide analysis for sales wins by region, product, customer segmentation, customer lifecycle—and more!
Using prebuilt connectors, we’ll show how workflows using Snowflake, Salesforce, and Zendesk tickets can significantly impact future sales.
It's your unstructured data: How to get your GenAI app to production (and spe...Zilliz
So you've successfully built a GenAI app POC for your company -- now comes the hard part: bringing it to production. Aparavi addresses the challenges of AI projects while addressing data privacy and PII. Our Service for RAG helps AI developers and data scientists to scale their app to 1000s to millions of users using corporate unstructured data. Aparavi’s AI Data Loader cleans, prepares and then loads only the relevant unstructured data for each AI project/app, enabling you to operationalize the creation of GenAI apps easily and accurately while giving you the time to focus on what you really want to do - building a great AI application with useful and relevant context. All within your environment and never having to share private corporate data with anyone - not even Aparavi.
Improving Learning Content Efficiency with Reusable Learning ContentEnterprise Knowledge
Enterprise Knowledge’s Emily Crockett, Content Engineering Consultant, presented “Improve Learning Content Efficiency with Reusable Learning Content” at the Learning Ideas conference on June 13th, 2024.
This presentation explored the basics of reusable learning content, including the types of reuse and the key benefits of reuse such as improved content maintenance efficiency, reduced organizational risk, and scalable differentiated instruction & personalization. After this primer on reuse, Crockett laid out the basic steps to start building reusable learning content alongside a real-life example and the technology stack needed to support dynamic content. Key objectives included:
- Be able to explain the difference between reusable learning content and duplicate content
- Explore how a well-designed learning content model can reduce duplicate content and improve your team’s efficiency
- Identify key tasks and steps in creating a learning content model
Cracking AI Black Box - Strategies for Customer-centric Enterprise ExcellenceQuentin Reul
The democratization of Generative AI is ushering in a new era of innovation for enterprises. Discover how you can harness this powerful technology to deliver unparalleled customer value and securing a formidable competitive advantage in today's competitive market. In this session, you will learn how to:
- Identify high-impact customer needs with precision
- Harness the power of large language models to address specific customer needs effectively
- Implement AI responsibly to build trust and foster strong customer relationships
Whether you're at the early stages of your AI journey or looking to optimize existing initiatives, this session will provide you with actionable insights and strategies needed to leverage AI as a powerful catalyst for customer-driven enterprise success.
kk vathada _digital transformation frameworks_2024.pdfKIRAN KV
I'm excited to share my latest presentation on digital transformation frameworks from industry leaders like PwC, Cognizant, Gartner, McKinsey, Capgemini, MIT, and DXO. These frameworks are crucial for driving innovation and success in today's digital age. Whether you're a consultant, director, or head of digital transformation, these insights are tailored to help you lead your organization to new heights.
🔍 Featured Frameworks:
PwC's Framework: Grounded in Industry 4.0 with a focus on data and analytics, and digitizing product and service offerings.
Cognizant's Framework: Enhancing customer experience, incorporating new pricing models, and leveraging customer insights.
Gartner's Framework: Emphasizing shared understanding, leadership, and support teams for digital excellence.
McKinsey's 4D Framework: Discover, Design, Deliver, and De-risk to navigate digital change effectively.
Capgemini's Framework: Focus on customer experience, operational excellence, and business model innovation.
MIT’s Framework: Customer experience, operational processes, business models, digital capabilities, and leadership culture.
DXO's Framework: Business model innovation, digital customer experience, and digital organization & process transformation.
Finetuning GenAI For Hacking and DefendingPriyanka Aash
Generative AI, particularly through the lens of large language models (LLMs), represents a transformative leap in artificial intelligence. With advancements that have fundamentally altered our approach to AI, understanding and leveraging these technologies is crucial for innovators and practitioners alike. This comprehensive exploration delves into the intricacies of GenAI, from its foundational principles and historical evolution to its practical applications in security and beyond.
Keynote : Presentation on SASE TechnologyPriyanka Aash
Secure Access Service Edge (SASE) solutions are revolutionizing enterprise networks by integrating SD-WAN with comprehensive security services. Traditionally, enterprises managed multiple point solutions for network and security needs, leading to complexity and resource-intensive operations. SASE, as defined by Gartner, consolidates these functions into a unified cloud-based service, offering SD-WAN capabilities alongside advanced security features like secure web gateways, CASB, and remote browser isolation. This convergence not only simplifies management but also enhances security posture and application performance across global networks and cloud environments. Discover how adopting SASE can streamline operations and fortify your enterprise's digital transformation strategy.
"Hands-on development experience using wasm Blazor", Furdak Vladyslav.pptxFwdays
I will share my personal experience of full-time development on wasm Blazor
What difficulties our team faced: life hacks with Blazor app routing, whether it is necessary to write JavaScript, which technology stack and architectural patterns we chose
What conclusions we made and what mistakes we committed
Top 12 AI Technology Trends For 2024.pdfMarrie Morris
Technology has become an irreplaceable component of our daily lives. The role of AI in technology revolutionizes our lives for the betterment of the future. In this article, we will learn about the top 12 AI technology trends for 2024.
Latest Tech Trends Series 2024 By EY IndiaEYIndia1
Stay ahead of the curve with our comprehensive Tech Trends Series! Explore the latest technology trends shaping the world today, from the 2024 Tech Trends report and top emerging technologies to their impact on business technology trends. This series delves into the most significant technological advancements, giving you insights into both established and emerging tech trends that will revolutionize various industries.
42. Data-centric principles
Data is self-describing and does not rely on an
application for interpretation and meaning.
Data is expressed in open, non-proprietary formats.
Applications are allowed to visit the data, perform their
magic and express the results of their process back into
the data layer.
http://datacentricmanifesto.org
