An in-depth exposition on a view of Applied Analytics that focuses on allowing data to drive insights free of cognitive bias, and how Correlation Technology applies this view to software technology.
This short document promotes the creation of presentations using Haiku Deck on SlideShare. It includes a stock photo and text suggesting the reader may be inspired to create their own Haiku Deck presentation. In just a few words, it pitches the idea of using Haiku Deck on SlideShare to easily make engaging presentations.
Week 5 power point slide -2-case stdudy 2- albassami 's job is not feasible ...Zulkifflee Sofee
The document describes two information systems used by Albassami International Group, a vehicle transportation company in the Middle East. The systems are a database management system using Sybase Adaptive Server and a Shipping Information System. The systems provide valuable customer and shipping data to all branches, enabling efficient operations and informed management decisions. The systems record shipping details, maintain customer and vehicle information, and generate reports. This centralized information sharing allowed Albassami to efficiently handle their large-scale operations across multiple countries.
The circulatory system transports blood, nutrients, gases, hormones and waste products between tissues and organs. It consists of the heart, blood vessels and blood. Blood is composed of plasma, red blood cells, white blood cells and platelets. The circulatory system includes the systemic and pulmonary circuits. In the systemic circuit, the heart pumps oxygenated blood to the body and returns deoxygenated blood to the lungs. In the pulmonary circuit, the heart pumps deoxygenated blood to the lungs and returns oxygenated blood from the lungs back to the heart. Veins have valves to prevent backflow of blood as it flows against gravity back to the heart. Blood pressure is regulated by baroreceptors and the sympathetic nervous
This document provides an overview of managed print services (MPS). It discusses how MPS can help organizations achieve cost savings, increased efficiency and environmental benefits by optimizing their print fleets and processes. The document outlines the stages of MPS adoption, from an initial focus on hardware and costs to more advanced optimization of workflows and integration with broader IT strategies. It provides examples of the significant savings and efficiencies that well-implemented MPS programs can achieve based on research from Photizo, a consulting firm that specializes in MPS. The document is intended to introduce readers to key concepts and benefits of MPS.
This 3 bedroom, 2 bathroom home on 0.78 acres of land in Boulder Creek, California is listed for $635,000. The home features towering redwood trees, 150 feet of river frontage, a slate patio with canyon views, a granite fireplace, loft, and guest quarters. The property also includes a detached garage, workshop, and RV site with full hookups.
Riskope were recently asked to provide a comprehensive five day course addressing Risk and Crisis Management, Risk Based Decision Making, Project Evaluation for top managers and key personnel at Investment Banks, Oil & Gas, Energy and Transportation.
Although companies willing to commit the resources for a five days intensive courses remain limited, we felt like it would be a good idea to share the program with our readership, as an example.
Of course our courses are scalable, from a couple hours up to this exhaustive review and custom tailored courses can be set-up by selectively picking the themes that most interest you/your organization. You can download the example file here.
Contact us today to discuss your custom made in house Risk and Crisis Management, Risk Based Decision Making, Project Evaluation! Armed with the skills you'll learn from Riskope you will have a competitive edge on your competitors, your ideas will be more defensible and sustainable, and your chances of success will multiply.
This document appears to be a list of music and locations from Donna Summer and Barbara Streisand songs. It also contains an invitation to join the Celebi Group and lists various cities and states potentially as destinations for rail travel within the United States. The document combines music, travel information, and a call to join an organization without further context.
NexGen has discovered high-grade uranium mineralization at its Arrow discovery in the Athabasca Basin, Saskatchewan. Arrow has a current mineralized footprint of 645m x 215m and from 100m to 920m depth. Drilling has intersected mineralization in over 90% of drill holes with grades up to 48.3% U3O8. The Arrow discovery remains open in all directions. NexGen controls a large land package in the southwest Athabasca Basin near existing uranium mines. Upcoming drilling will target further expanding Arrow and testing new targets along conductive corridors.
This short document promotes the creation of presentations using Haiku Deck on SlideShare. It includes a stock photo and text suggesting the reader may be inspired to create their own Haiku Deck presentation. In just a few words, it pitches the idea of using Haiku Deck on SlideShare to easily make engaging presentations.
Week 5 power point slide -2-case stdudy 2- albassami 's job is not feasible ...Zulkifflee Sofee
The document describes two information systems used by Albassami International Group, a vehicle transportation company in the Middle East. The systems are a database management system using Sybase Adaptive Server and a Shipping Information System. The systems provide valuable customer and shipping data to all branches, enabling efficient operations and informed management decisions. The systems record shipping details, maintain customer and vehicle information, and generate reports. This centralized information sharing allowed Albassami to efficiently handle their large-scale operations across multiple countries.
The circulatory system transports blood, nutrients, gases, hormones and waste products between tissues and organs. It consists of the heart, blood vessels and blood. Blood is composed of plasma, red blood cells, white blood cells and platelets. The circulatory system includes the systemic and pulmonary circuits. In the systemic circuit, the heart pumps oxygenated blood to the body and returns deoxygenated blood to the lungs. In the pulmonary circuit, the heart pumps deoxygenated blood to the lungs and returns oxygenated blood from the lungs back to the heart. Veins have valves to prevent backflow of blood as it flows against gravity back to the heart. Blood pressure is regulated by baroreceptors and the sympathetic nervous
This document provides an overview of managed print services (MPS). It discusses how MPS can help organizations achieve cost savings, increased efficiency and environmental benefits by optimizing their print fleets and processes. The document outlines the stages of MPS adoption, from an initial focus on hardware and costs to more advanced optimization of workflows and integration with broader IT strategies. It provides examples of the significant savings and efficiencies that well-implemented MPS programs can achieve based on research from Photizo, a consulting firm that specializes in MPS. The document is intended to introduce readers to key concepts and benefits of MPS.
This 3 bedroom, 2 bathroom home on 0.78 acres of land in Boulder Creek, California is listed for $635,000. The home features towering redwood trees, 150 feet of river frontage, a slate patio with canyon views, a granite fireplace, loft, and guest quarters. The property also includes a detached garage, workshop, and RV site with full hookups.
Riskope were recently asked to provide a comprehensive five day course addressing Risk and Crisis Management, Risk Based Decision Making, Project Evaluation for top managers and key personnel at Investment Banks, Oil & Gas, Energy and Transportation.
Although companies willing to commit the resources for a five days intensive courses remain limited, we felt like it would be a good idea to share the program with our readership, as an example.
Of course our courses are scalable, from a couple hours up to this exhaustive review and custom tailored courses can be set-up by selectively picking the themes that most interest you/your organization. You can download the example file here.
Contact us today to discuss your custom made in house Risk and Crisis Management, Risk Based Decision Making, Project Evaluation! Armed with the skills you'll learn from Riskope you will have a competitive edge on your competitors, your ideas will be more defensible and sustainable, and your chances of success will multiply.
This document appears to be a list of music and locations from Donna Summer and Barbara Streisand songs. It also contains an invitation to join the Celebi Group and lists various cities and states potentially as destinations for rail travel within the United States. The document combines music, travel information, and a call to join an organization without further context.
NexGen has discovered high-grade uranium mineralization at its Arrow discovery in the Athabasca Basin, Saskatchewan. Arrow has a current mineralized footprint of 645m x 215m and from 100m to 920m depth. Drilling has intersected mineralization in over 90% of drill holes with grades up to 48.3% U3O8. The Arrow discovery remains open in all directions. NexGen controls a large land package in the southwest Athabasca Basin near existing uranium mines. Upcoming drilling will target further expanding Arrow and testing new targets along conductive corridors.
Building a Correlation Technology Platform Applications0P5a41b
Building a software application is a challenging undertaking in any vertical market. This is a step-by-step guide for entrepreneurs and others interested in implementing a software application layer on top of the Correlation Technology Platform to bring their startup visions to reality.
Correlation Technology Business Solutions: Market Researchs0P5a41b
This is a no-nonsense business-to-business document containing an in-depth analysis of the market research industry, its competitive landscape, major players, and complete SWOT analysis. Specific problems currently facing the industry are identified, and the disruptive impact of Correlation Technology when used to provide new dynamic solutions to traditional market research challenges. Update: This document and accompanying SWOT analysis has been updated to reflect changes to the competitive landscape in the industry created by the acquisition of Synovate by IPSOS in 2011.
State-of-the-Art: Industry Challenges in ERMs0P5a41b
1. Make Sence Florida has identified several challenges that organizations face when implementing enterprise risk management practices and software solutions. These challenges include an inability to effectively handle large amounts of risk data, degraded data quality, data being forced to fit predefined models rather than reflecting real risks, ineffective filtering of data leading to missed risks, poor communication between different parts of the organization, and silos working independently without oversight.
2. Current risk management software provides some benefits like data aggregation but does not fully address these challenges. Manual processes used to select and analyze risk data can propagate human biases and errors. Without comprehensive solutions, organizations remain exposed to significant risks going unnoticed.
This 2008 study of the market for Internet Search includes original research by Make Sence, Inc. supporting the finding that in 2008, up to 15% of all queries made to the then leading search engines were in fact N-Dimensional Queries. We also demonstrate that most of those queries were not handled well by existing techniques. In addition, our original research supported the hypothesis that the then current demand and latent demand for Search could be modeled using the same techniques applied to estimation of current and latent demand for transportation, called "induced travel", and projected that an effective means of handling N-Dimensional Queries (such as Correlation Technology) could grow Search traffic by an additional 15% - a market worth millions of dollars.
1) Enterprise risk management (ERM) and governance-risk-compliance (GRC) are approaches that have emerged in the past decade but there is no consensus on how they relate.
2) Currently, GRC is seen as a top-down process that sets risk requirements, while ERM identifies and reports on risks, but the document argues this view is flawed.
3) The document contends that ERM should drive risk assessment and response, informing governance and compliance, rather than the other way around. With ERM in charge of holistic risk management, conflicts can be reduced and risks better addressed.
Make Sence controls the licensing of its correlation technology platform. It identifies problems across different vertical markets that can be solved using this platform. Once opportunities are identified, Make Sence will seek to enter those markets through licensing agreements or forming new ventures. The correlation technology platform uses patented components like discovery, acquisition, correlation, and refinement to analyze data and discover relationships across multidimensional problems. Make Sence develops specialized versions of this platform tailored for different industries and partners with companies through various business models like licensing, revenue sharing, or equity sharing agreements.
This is an under-the-hood look at the Correlation Technology Platform in action. All of Wikipedia's 3.5 million articles have been converted to "Knowledge Fragments." Frame-by-frame, with in-depth notations, Correlation Technology is used in this actual online demonstration to reveal how connections from "population density" to "terrorism" are discovered and presented.
Technical Whitepaper: A Knowledge Correlation Search Engines0P5a41b
For the technically oriented reader, this brief paper describes the technical foundation of the Knowledge Correlation Search Engine - patented by Make Sence, Inc.
An Industry Overview: Enterprise Risk Services and Productss0P5a41b
The document provides an overview of the enterprise risk management industry. It discusses how recent events like the global recession and BP oil spill have brought risk management to the forefront for companies. It describes the four categories of enterprise risk: hazard, operational, financial, and strategic. It explains that enterprise risk management aims to identify, analyze, and monitor risks in order to implement internal controls. Overall, the document outlines the enterprise risk management field and discusses the roles of risk personnel, software providers, and how companies approach risk management.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Building a Correlation Technology Platform Applications0P5a41b
Building a software application is a challenging undertaking in any vertical market. This is a step-by-step guide for entrepreneurs and others interested in implementing a software application layer on top of the Correlation Technology Platform to bring their startup visions to reality.
Correlation Technology Business Solutions: Market Researchs0P5a41b
This is a no-nonsense business-to-business document containing an in-depth analysis of the market research industry, its competitive landscape, major players, and complete SWOT analysis. Specific problems currently facing the industry are identified, and the disruptive impact of Correlation Technology when used to provide new dynamic solutions to traditional market research challenges. Update: This document and accompanying SWOT analysis has been updated to reflect changes to the competitive landscape in the industry created by the acquisition of Synovate by IPSOS in 2011.
State-of-the-Art: Industry Challenges in ERMs0P5a41b
1. Make Sence Florida has identified several challenges that organizations face when implementing enterprise risk management practices and software solutions. These challenges include an inability to effectively handle large amounts of risk data, degraded data quality, data being forced to fit predefined models rather than reflecting real risks, ineffective filtering of data leading to missed risks, poor communication between different parts of the organization, and silos working independently without oversight.
2. Current risk management software provides some benefits like data aggregation but does not fully address these challenges. Manual processes used to select and analyze risk data can propagate human biases and errors. Without comprehensive solutions, organizations remain exposed to significant risks going unnoticed.
This 2008 study of the market for Internet Search includes original research by Make Sence, Inc. supporting the finding that in 2008, up to 15% of all queries made to the then leading search engines were in fact N-Dimensional Queries. We also demonstrate that most of those queries were not handled well by existing techniques. In addition, our original research supported the hypothesis that the then current demand and latent demand for Search could be modeled using the same techniques applied to estimation of current and latent demand for transportation, called "induced travel", and projected that an effective means of handling N-Dimensional Queries (such as Correlation Technology) could grow Search traffic by an additional 15% - a market worth millions of dollars.
1) Enterprise risk management (ERM) and governance-risk-compliance (GRC) are approaches that have emerged in the past decade but there is no consensus on how they relate.
2) Currently, GRC is seen as a top-down process that sets risk requirements, while ERM identifies and reports on risks, but the document argues this view is flawed.
3) The document contends that ERM should drive risk assessment and response, informing governance and compliance, rather than the other way around. With ERM in charge of holistic risk management, conflicts can be reduced and risks better addressed.
Make Sence controls the licensing of its correlation technology platform. It identifies problems across different vertical markets that can be solved using this platform. Once opportunities are identified, Make Sence will seek to enter those markets through licensing agreements or forming new ventures. The correlation technology platform uses patented components like discovery, acquisition, correlation, and refinement to analyze data and discover relationships across multidimensional problems. Make Sence develops specialized versions of this platform tailored for different industries and partners with companies through various business models like licensing, revenue sharing, or equity sharing agreements.
This is an under-the-hood look at the Correlation Technology Platform in action. All of Wikipedia's 3.5 million articles have been converted to "Knowledge Fragments." Frame-by-frame, with in-depth notations, Correlation Technology is used in this actual online demonstration to reveal how connections from "population density" to "terrorism" are discovered and presented.
Technical Whitepaper: A Knowledge Correlation Search Engines0P5a41b
For the technically oriented reader, this brief paper describes the technical foundation of the Knowledge Correlation Search Engine - patented by Make Sence, Inc.
An Industry Overview: Enterprise Risk Services and Productss0P5a41b
The document provides an overview of the enterprise risk management industry. It discusses how recent events like the global recession and BP oil spill have brought risk management to the forefront for companies. It describes the four categories of enterprise risk: hazard, operational, financial, and strategic. It explains that enterprise risk management aims to identify, analyze, and monitor risks in order to implement internal controls. Overall, the document outlines the enterprise risk management field and discusses the roles of risk personnel, software providers, and how companies approach risk management.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
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.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Programming Foundation Models with DSPy - Meetup Slides
A Correlation Technology Perspective On Applied Analytics
1. A Correlation Technology Perspective on Applied Analytics
Permit us to make a philosophical observation about current Applied Analytics approaches. From our reading of the
recent literature, we get the impression that Applied Analytics anticipates that practitioners know in advance the full set
of insights of interest, and from those, would further know a priori which data elements would reveal those insights. In
other words, Applied Analytics would seem to use insights to select data - not use data to find insights.
A Correlation Technology-based approach, on the other hand, starts with the premise that "there is no God" who
omnisciently mandates insights and data elements to capture. Rather, because one use of Correlation Technology
(Correlation Technology) is to explicitly identify significant insights from raw data, a Correlation Technology-based
approach is able to draw from a store of information all the insights, relationships, pathways, propositions or assertions
that the store of data might yield through qualitative analysis. Therefore, using Correlation Technology-based
qualitative analysis as a first step in the process - and only then layering in the domain expertise, and then at last
capturing the values required for quantitative analysis based upon the integration of domain expertise and qualitative
analysis - would deliver a very potent combination. We have long observed and give great respect to the impact of
cognitive bias and subjective human selection processes in the domains we have studied. Even the brightest among us
"don't know what we don't know" (Rumsfeld). We are convinced that the process described above will become the
standard as more and more companies learn about Correlation Technology.
Far superior to the Applied Analytics best practice of seeking "unique and broad" data sets is the Correlation Technology
“Acquisition” process that produces Knowledge Fragments. This means that not only are we in full agreement with the
“unique and broad” data set paradigm, but we further emphasize that the critical prerequisite task in the Correlation
Technology process is an exhaustive, one-way transform of the resources in a target corpus into a "knowledge payload"
of Knowledge Fragments. Right now in the wild, there is no more "unique" a data set. And, to address the "broad"
criteria, please observe that our patents describe the relaxed constraints applied when selecting member digital assets
for a new corpus (where all members of the corpus are not perforce included). In other words, Correlation Technology
will almost always deliver superior results from a larger, heterogeneous corpus. The better and more comprehensive
the corpora data sets, the greater the likelihood of the analysis methods taking the user to new insights.
Because we reject the notion that someone can know in advance all the insights to cover and all the data to capture, we
understand better than any other approach that “raw data” is best – without selection constraints imposed by persons
who believe they already understand the data completely. However, we accept and recognize that the Correlation
Technology approach also works because of a transformation of raw data into another form - a process in which some
raw data may be deemed to be of low value. Further, we anticipate that any combined Applied Analytics/Correlation
Technology implementation, the "answer space" of successful correlation outcomes will be one of two primary domains
for the application of Applied Analytics methods - and the answer space is a long way from raw data. Nevertheless, the
Correlation Technology approach can ensure that we all avoid sliding into repeated cycles of confirmation bias.
We admire and endorse those Applied Analytics practitioners who understand that "the less a customer has to
manipulate data" and "the less a customer has to think about applying the results of analysis" - "the better". We are
confident that Correlation Technology can be used to greatly improve, perhaps in equally profound and "obvious" ways,
the production of actionable insights from raw data. From our own observations, we contend that in any organization
above a certain size, very few individuals or teams are capable of understanding any but the most superficially obvious
locations where the types of insights generated by Applied Analytics processes may be delivered on demand with
greatest effect. In fact we suspect that the tendency of the people assigned to implement actionable insights would
most likely be to avoid plowing any new ground (for a number of the typical reasons that people in corporate settings
seek to limit deliverables and avoid controversy).
Copyright 2014 Make Sence Florida, Inc. All Rights Reserved. Page 1
2. However, using Correlation Technology, with access to multiple corpora within the target organization, previously
unanticipated connections can be reliably and quickly discovered between specific types of Applied Analytics-provided
insights and the loci of business activity in the client organization. These loci include organizational units such as
divisions, departments, and groups. Previously unimagined connections can be surfaced linking specific insights to
specific persons and job functions. Also, from specific insights to specific business processes. This Correlation
Technology ability to generate unbiased actionable insights could enormously potentiate the results achieved by Applied
Analytics efforts within companies using Correlation Technology-powered Applied Analytics applications.
Data scientists are rare and Correlation Technology proficient data scientists are the rarest of all. Allow us to make the
observation that those enterprises which obtain first access to a combined Applied Analytics/Correlation Technology
approach will seize the greatest competitive edge. Applied Analytics concentrates on quantitative analysis while robust
Correlation Technology-based qualitative analysis delivers business insights with non-coercive migration of qualitative
analysis results to quantitative analytical functions. The combination of the two expertise areas will warrant an even
higher premium on the services provided by these leading companies.
Copyright 2014 Make Sence Florida, Inc. All Rights Reserved. Page 2