Presentation held by Cloud'N'Sci CEO Pauli Misikangas at University of Helsinki 9.11.2011. Introduces the theory of the Scientific Chasm which explains why complex algorithms are so rarely utilized in business applications. Explains how concrete data refining solutions can be implemented by combining and configuring algorithm modules by multiple vendors hosted at the Cloud’N’Sci.fi web service. Welcomes all algorithm and application developers, data providers and business owners to join the Algorithms-as-a-Service ecosystem creating practical algorithmic solutions for real world data refining needs.
Space Shuttle Flight Software (PASS) Loss Of Crew Errors J.K. Orr 2015-08-27James Orr
This document summarizes a loss of crew and vehicle (LOCV) error in the Primary Avionics Software System (PASS) that was discovered prior to the Space Shuttle Challenger disaster (STS-51L) in 1986. The error caused the PASS system to hang during a Shuttle Mission Simulator simulation of a contingency abort to Rota, Spain for STS-1. The probability of the PASS error occurring was less than 1 in 240. The Backup Flight System was successfully engaged after 10 seconds when the error occurred. The error had been introduced prior to STS-1. It received high visibility within NASA due to occurring during prime crew training and representing the first total lockup of the PASS flight system after
The document discusses AVL trees, which are self-balancing binary search trees. It begins with an introduction to AVL trees, explaining that they were invented in 1962 and solve the worst-case scenarios of binary search trees by keeping the height balanced using balance factors between -1 and 1. The document then covers rotation techniques used in AVL trees, including left, right, left-right and right-left rotations performed during insertion and deletion. It also discusses the insertion, search and deletion algorithms for AVL trees and analyzes their time and space complexities. Finally, the advantages, disadvantages and applications of AVL trees are presented.
Blockchain philosophy centers around distributed trust and shared truth through transparency. It moves the custody of information from centralized control by one entity to decentralized consensus among many participants. By ensuring everyone has access to the same verified information through an immutable record, blockchain creates certainty in a digital world that has long struggled with issues of identity, data security and authenticity. It extrapolates the idea of a close-knit village community where common knowledge and synchronous truth are the basis for transactions and asset ownership.
This document discusses splay trees, a type of self-balancing binary search tree where frequently accessed elements are moved closer to the root through rotations. Splay trees provide O(log n) time for search, insert, and delete operations while being simpler to implement than other self-balancing trees. When an element is accessed in a splay tree, it is "splayed" or rotated to the root through zig, zig-zig, or zig-zag steps depending on its position. Splay trees prioritize frequently accessed elements but may become unbalanced if all elements are accessed sequentially. The document provides examples of splaying tree rotations and constructs splay trees for two example sequences.
Part B CS8391 Data Structures Part B Questions compiled from R2008 & R2013 to help the students of Affiliated Colleges appearing for Ann University Examination
This presentation was made on June 18, 2020.
Video recording of the session can be viewed here: https://youtu.be/YEtDwYSXXJo
For many companies, model documentation is a requirement for any model to be used in the business. For other companies, model documentation is part of a data science team’s best practices. Model documentation includes how a model was created, training and test data characteristics, what alternatives were considered, how the model was evaluated, and information on model performance.
Collecting and documenting this information can take a data scientist days to complete for each model. The model document needs to be comprehensive and consistent across various projects. The process of creating this documentation is tedious for the data scientist and wasteful for the business because the data scientist could be using that time to build additional models and create more value. Inconsistent or inaccurate model documentation can be an issue for model validation, governance, and regulatory compliance.
In this virtual meetup, we will learn how to create comprehensive, high-quality model documentation in minutes that saves time, increases productivity, and improves model governance.
Speaker's Bio:
Nikhil Shekhar: Nikhil is a Machine Learning Engineer at H2O.ai. He is currently working on our automatic machine learning platform, Driverless AI. He graduated from the University of Buffalo majoring in Artificial Intelligence and is interested in developing scalable machine learning algorithms.
Space Shuttle Flight Software (PASS) Loss Of Crew Errors J.K. Orr 2015-08-27James Orr
This document summarizes a loss of crew and vehicle (LOCV) error in the Primary Avionics Software System (PASS) that was discovered prior to the Space Shuttle Challenger disaster (STS-51L) in 1986. The error caused the PASS system to hang during a Shuttle Mission Simulator simulation of a contingency abort to Rota, Spain for STS-1. The probability of the PASS error occurring was less than 1 in 240. The Backup Flight System was successfully engaged after 10 seconds when the error occurred. The error had been introduced prior to STS-1. It received high visibility within NASA due to occurring during prime crew training and representing the first total lockup of the PASS flight system after
The document discusses AVL trees, which are self-balancing binary search trees. It begins with an introduction to AVL trees, explaining that they were invented in 1962 and solve the worst-case scenarios of binary search trees by keeping the height balanced using balance factors between -1 and 1. The document then covers rotation techniques used in AVL trees, including left, right, left-right and right-left rotations performed during insertion and deletion. It also discusses the insertion, search and deletion algorithms for AVL trees and analyzes their time and space complexities. Finally, the advantages, disadvantages and applications of AVL trees are presented.
Blockchain philosophy centers around distributed trust and shared truth through transparency. It moves the custody of information from centralized control by one entity to decentralized consensus among many participants. By ensuring everyone has access to the same verified information through an immutable record, blockchain creates certainty in a digital world that has long struggled with issues of identity, data security and authenticity. It extrapolates the idea of a close-knit village community where common knowledge and synchronous truth are the basis for transactions and asset ownership.
This document discusses splay trees, a type of self-balancing binary search tree where frequently accessed elements are moved closer to the root through rotations. Splay trees provide O(log n) time for search, insert, and delete operations while being simpler to implement than other self-balancing trees. When an element is accessed in a splay tree, it is "splayed" or rotated to the root through zig, zig-zig, or zig-zag steps depending on its position. Splay trees prioritize frequently accessed elements but may become unbalanced if all elements are accessed sequentially. The document provides examples of splaying tree rotations and constructs splay trees for two example sequences.
Part B CS8391 Data Structures Part B Questions compiled from R2008 & R2013 to help the students of Affiliated Colleges appearing for Ann University Examination
This presentation was made on June 18, 2020.
Video recording of the session can be viewed here: https://youtu.be/YEtDwYSXXJo
For many companies, model documentation is a requirement for any model to be used in the business. For other companies, model documentation is part of a data science team’s best practices. Model documentation includes how a model was created, training and test data characteristics, what alternatives were considered, how the model was evaluated, and information on model performance.
Collecting and documenting this information can take a data scientist days to complete for each model. The model document needs to be comprehensive and consistent across various projects. The process of creating this documentation is tedious for the data scientist and wasteful for the business because the data scientist could be using that time to build additional models and create more value. Inconsistent or inaccurate model documentation can be an issue for model validation, governance, and regulatory compliance.
In this virtual meetup, we will learn how to create comprehensive, high-quality model documentation in minutes that saves time, increases productivity, and improves model governance.
Speaker's Bio:
Nikhil Shekhar: Nikhil is a Machine Learning Engineer at H2O.ai. He is currently working on our automatic machine learning platform, Driverless AI. He graduated from the University of Buffalo majoring in Artificial Intelligence and is interested in developing scalable machine learning algorithms.
A heap data structure is a binary tree that satisfies two properties: it is a complete binary tree where each level is filled from left to right, and the value stored at each node is greater than or equal to the values of its children (the heap property). Heaps can be implemented using arrays where the root is at index 0, left child at 2i+1, and right child at 2i+2. The basic heap operations like building a heap from an array and heapifying subtrees run in O(log n) time, allowing priority queues and other applications to be efficiently implemented using heaps.
This document discusses trees and binary trees. It defines key tree concepts like nodes, edges, roots, leaves. It also covers different types of trees like binary trees and expression trees. Binary tree traversal algorithms like preorder, inorder and postorder are explained along with pseudocode. The document also discusses representation of trees using classes and balanced binary trees.
Object Oriented Programming in Java _lecture 1Mahmoud Alfarra
Introduction to OOP
Let’s start with the first set of concepts
What is Object-Oriented Programming ?
Procedural vs. Object-Oriented Programming
OO Programming Concepts
This document provides an overview of integrated access devices from Aethra Telecommunications, including broadband access options, voice and data port configurations, operating system features, and advanced application capabilities. Key products highlighted are the BG and SV series, which support ADSL, VDSL, SHDSL, fiber, and LTE broadband access with integrated voice services, security, routing, and business applications like IP PBX.
This document discusses the key concepts of object-oriented programming including classes, objects, inheritance, polymorphism, abstraction, and encapsulation. Classes are blueprints that define properties and behaviors for objects. Inheritance allows classes to inherit attributes and methods from parent classes. Polymorphism enables data to take multiple forms. Abstraction hides unnecessary details and encapsulation bundles data with the methods that operate on that data.
This document discusses various graph algorithms including depth-first search (DFS), breadth-first search (BFS), union find, Kruskal's algorithm, Floyd-Warshall's algorithm, Dijkstra's algorithm, and bipartite graphs. It provides definitions, pseudocode, sample code, and sample problems for implementing each algorithm.
This document provides an overview of networking concepts including:
- It introduces the presenters Falk Stern and Maximilian Wilhelm and their backgrounds in networking.
- It discusses common networking models including the OSI model, TCP/IP model, and hybrid models and describes the layers of each.
- It provides an overview of Ethernet including the history, addressing, frames, switches, bridges, and Ethernet protocols like Spanning Tree.
- It covers IPv4 addressing including classes, CIDR/VLSM, private addressing, and protocols like ARP.
- It discusses IP configuration on Linux systems and the iproute2 tool for network configuration.
The document discusses an OpenCV C++ workshop presented by Lentin Joseph. It provides an overview of OpenCV, including that it is an open source computer vision library started in 1999. It then covers installing OpenCV from source or Ubuntu packages, setting it up in Eclipse, and various OpenCV modules and applications like gesture recognition, segmentation, and face detection. Examples are provided of OpenCV APIs for reading images and video, image processing techniques, and contour detection.
Dijkstra's algorithm is a solution to the single-source shortest path problem in graph theory. It finds the shortest paths from a source vertex to all other vertices in a weighted graph where all edge weights are non-negative. The algorithm uses a greedy approach, maintaining a set of vertices whose final shortest path from the source vertex has already been determined.
This document discusses Java Beans, including:
- Java Beans are reusable Java classes that follow common conventions like having getter/setter methods and a no-arg constructor.
- The Java Beans component model defines Beans as reusable visual components that can be manipulated in builder tools.
- Creating a Java Bean class involves following conventions like making properties accessible via getter/setter methods.
- Indexed, bound, and constrained properties are special types of properties that can be array-based or notify listeners of changes.
Overview of Fuzz Testing and the latest advances in the field are discussed. Fuzz testing is a popular method to find security vulnerabilities in software systems.
How to use LaTeX and Beamer to prepare presentation for SlideshareVesa Linja-aho
LaTeX and Beamer are great tools when preparing slides which contain mathematical formulas, circuit diagrams and that kind of stuff. However, to eliminate some nasty characteristics, few simple tricks are necessary.
Data abstraction and object orientationHoang Nguyen
This document discusses object-oriented programming concepts like abstraction, encapsulation, inheritance, and polymorphism. It provides historical context on the development of these concepts over time in languages like Simula67, Smalltalk, C++, Java, and others. Key aspects covered include data abstraction, abstract data types, classes, inheritance hierarchies, visibility rules, constructors and destructors, virtual functions, and multiple inheritance.
Reapresentação do trabalho na Linux Developer Conference Brazil 2019.
Overview about Linux malware. Extended version including analysis and evasion hands on examples: strace, ltrace, ptrace, ld_preload rootkits.
This document discusses implementing Geographic Information Systems (GIS) and GIS-based solutions. It begins by outlining the key data sources for GIS, which include maps, images, datasets, GPS inputs, text data, and tabular data. Maps contain spatial data located using cartographic referencing systems like latitude and longitude. Images include remote sensing data from satellites. GPS devices directly provide latitude and longitude coordinates. Text and tabular data sources include reports. The document then discusses using GIS to implement a solution called G-CARE to help secure cities by integrating various systems and technologies.
This document discusses manual code review. It begins by introducing the author and their background and interests in security. It then asks why code review is important, noting that finding bugs early is cheaper and code review allows different visibility into code than other methods. Both automated and manual code review are discussed, saying they should be used complementarily. Manual review provides a 10,000 foot view by understanding the application and security controls. Specific vulnerabilities are then looked for. The document ends by stating manual code review can be done in 60 seconds by understanding the application, reviewing a security control, and looking for specific vulnerabilities.
The document discusses B+ trees, which are self-balancing search trees used to store data in databases. It defines B+ trees, provides examples, and explains how to perform common operations like searching, insertion, and deletion on B+ trees in a way that maintains the tree's balanced structure. Key aspects are that B+ trees allow fast searching, maintain balance during operations, and improve performance over other tree structures for large databases.
Let's Talk Technical: Malware Evasion and DetectionJames Haughom Jr
This is from my talk at IR18 geared around evasion techniques employed by malware, and detection methods for incident responders. I touch on everything from ransomware, to evasive fileless WMI malware. My goal for this talk was to teach defenders about the inner-workings and capabilities of malware, as well as some detection methods they may have not considered.
1) The document discusses Cloud'N'Sci.fi, a marketplace platform that allows businesses and developers to monetize open data, algorithms, and applications.
2) It provides examples of how different parties like data providers, algorithm developers, and application builders can earn money within the ecosystem.
3) The marketplace aims to make it easy and profitable for all participants by facilitating transactions between data/algorithm providers and customers.
The document describes the FP-Growth algorithm for frequent itemset mining. It has two main steps: (1) building a compact FP-tree from the dataset in two passes and (2) extracting frequent itemsets directly from the FP-tree by looking for prefix paths. The FP-tree allows mining frequent itemsets without candidate generation by compressing the dataset.
A heap data structure is a binary tree that satisfies two properties: it is a complete binary tree where each level is filled from left to right, and the value stored at each node is greater than or equal to the values of its children (the heap property). Heaps can be implemented using arrays where the root is at index 0, left child at 2i+1, and right child at 2i+2. The basic heap operations like building a heap from an array and heapifying subtrees run in O(log n) time, allowing priority queues and other applications to be efficiently implemented using heaps.
This document discusses trees and binary trees. It defines key tree concepts like nodes, edges, roots, leaves. It also covers different types of trees like binary trees and expression trees. Binary tree traversal algorithms like preorder, inorder and postorder are explained along with pseudocode. The document also discusses representation of trees using classes and balanced binary trees.
Object Oriented Programming in Java _lecture 1Mahmoud Alfarra
Introduction to OOP
Let’s start with the first set of concepts
What is Object-Oriented Programming ?
Procedural vs. Object-Oriented Programming
OO Programming Concepts
This document provides an overview of integrated access devices from Aethra Telecommunications, including broadband access options, voice and data port configurations, operating system features, and advanced application capabilities. Key products highlighted are the BG and SV series, which support ADSL, VDSL, SHDSL, fiber, and LTE broadband access with integrated voice services, security, routing, and business applications like IP PBX.
This document discusses the key concepts of object-oriented programming including classes, objects, inheritance, polymorphism, abstraction, and encapsulation. Classes are blueprints that define properties and behaviors for objects. Inheritance allows classes to inherit attributes and methods from parent classes. Polymorphism enables data to take multiple forms. Abstraction hides unnecessary details and encapsulation bundles data with the methods that operate on that data.
This document discusses various graph algorithms including depth-first search (DFS), breadth-first search (BFS), union find, Kruskal's algorithm, Floyd-Warshall's algorithm, Dijkstra's algorithm, and bipartite graphs. It provides definitions, pseudocode, sample code, and sample problems for implementing each algorithm.
This document provides an overview of networking concepts including:
- It introduces the presenters Falk Stern and Maximilian Wilhelm and their backgrounds in networking.
- It discusses common networking models including the OSI model, TCP/IP model, and hybrid models and describes the layers of each.
- It provides an overview of Ethernet including the history, addressing, frames, switches, bridges, and Ethernet protocols like Spanning Tree.
- It covers IPv4 addressing including classes, CIDR/VLSM, private addressing, and protocols like ARP.
- It discusses IP configuration on Linux systems and the iproute2 tool for network configuration.
The document discusses an OpenCV C++ workshop presented by Lentin Joseph. It provides an overview of OpenCV, including that it is an open source computer vision library started in 1999. It then covers installing OpenCV from source or Ubuntu packages, setting it up in Eclipse, and various OpenCV modules and applications like gesture recognition, segmentation, and face detection. Examples are provided of OpenCV APIs for reading images and video, image processing techniques, and contour detection.
Dijkstra's algorithm is a solution to the single-source shortest path problem in graph theory. It finds the shortest paths from a source vertex to all other vertices in a weighted graph where all edge weights are non-negative. The algorithm uses a greedy approach, maintaining a set of vertices whose final shortest path from the source vertex has already been determined.
This document discusses Java Beans, including:
- Java Beans are reusable Java classes that follow common conventions like having getter/setter methods and a no-arg constructor.
- The Java Beans component model defines Beans as reusable visual components that can be manipulated in builder tools.
- Creating a Java Bean class involves following conventions like making properties accessible via getter/setter methods.
- Indexed, bound, and constrained properties are special types of properties that can be array-based or notify listeners of changes.
Overview of Fuzz Testing and the latest advances in the field are discussed. Fuzz testing is a popular method to find security vulnerabilities in software systems.
How to use LaTeX and Beamer to prepare presentation for SlideshareVesa Linja-aho
LaTeX and Beamer are great tools when preparing slides which contain mathematical formulas, circuit diagrams and that kind of stuff. However, to eliminate some nasty characteristics, few simple tricks are necessary.
Data abstraction and object orientationHoang Nguyen
This document discusses object-oriented programming concepts like abstraction, encapsulation, inheritance, and polymorphism. It provides historical context on the development of these concepts over time in languages like Simula67, Smalltalk, C++, Java, and others. Key aspects covered include data abstraction, abstract data types, classes, inheritance hierarchies, visibility rules, constructors and destructors, virtual functions, and multiple inheritance.
Reapresentação do trabalho na Linux Developer Conference Brazil 2019.
Overview about Linux malware. Extended version including analysis and evasion hands on examples: strace, ltrace, ptrace, ld_preload rootkits.
This document discusses implementing Geographic Information Systems (GIS) and GIS-based solutions. It begins by outlining the key data sources for GIS, which include maps, images, datasets, GPS inputs, text data, and tabular data. Maps contain spatial data located using cartographic referencing systems like latitude and longitude. Images include remote sensing data from satellites. GPS devices directly provide latitude and longitude coordinates. Text and tabular data sources include reports. The document then discusses using GIS to implement a solution called G-CARE to help secure cities by integrating various systems and technologies.
This document discusses manual code review. It begins by introducing the author and their background and interests in security. It then asks why code review is important, noting that finding bugs early is cheaper and code review allows different visibility into code than other methods. Both automated and manual code review are discussed, saying they should be used complementarily. Manual review provides a 10,000 foot view by understanding the application and security controls. Specific vulnerabilities are then looked for. The document ends by stating manual code review can be done in 60 seconds by understanding the application, reviewing a security control, and looking for specific vulnerabilities.
The document discusses B+ trees, which are self-balancing search trees used to store data in databases. It defines B+ trees, provides examples, and explains how to perform common operations like searching, insertion, and deletion on B+ trees in a way that maintains the tree's balanced structure. Key aspects are that B+ trees allow fast searching, maintain balance during operations, and improve performance over other tree structures for large databases.
Let's Talk Technical: Malware Evasion and DetectionJames Haughom Jr
This is from my talk at IR18 geared around evasion techniques employed by malware, and detection methods for incident responders. I touch on everything from ransomware, to evasive fileless WMI malware. My goal for this talk was to teach defenders about the inner-workings and capabilities of malware, as well as some detection methods they may have not considered.
1) The document discusses Cloud'N'Sci.fi, a marketplace platform that allows businesses and developers to monetize open data, algorithms, and applications.
2) It provides examples of how different parties like data providers, algorithm developers, and application builders can earn money within the ecosystem.
3) The marketplace aims to make it easy and profitable for all participants by facilitating transactions between data/algorithm providers and customers.
The document describes the FP-Growth algorithm for frequent itemset mining. It has two main steps: (1) building a compact FP-tree from the dataset in two passes and (2) extracting frequent itemsets directly from the FP-tree by looking for prefix paths. The FP-tree allows mining frequent itemsets without candidate generation by compressing the dataset.
This document discusses frequent pattern mining algorithms. It describes the Apriori, AprioriTid, and FP-Growth algorithms. The Apriori algorithm uses candidate generation and database scanning to find frequent itemsets. AprioriTid tracks transaction IDs to reduce scans. FP-Growth avoids candidate generation and multiple scans by building a frequent-pattern tree. It finds frequent patterns by mining the tree.
The document discusses the FP-Growth algorithm for frequent pattern mining. It improves upon the Apriori algorithm by not requiring candidate generation and only requiring two scans of the database. FP-Growth works by first building a compact FP-tree structure using two passes over the data, then extracting frequent itemsets directly from the FP-tree. An example is provided where an FP-tree is constructed from a sample transaction database and frequent patterns are generated from the tree. Advantages of FP-Growth include only needing two scans of data and faster runtime than Apriori, while a disadvantage is the FP-tree may not fit in memory.
The document provides algorithms and flowcharts for:
1) Finding the average of two numbers by inputting the numbers, adding them, and dividing the sum by 2.
2) Summing the even numbers between 1 and 20 by initializing a sum and counter, adding the counter if it is even, and incrementing the counter until it reaches 20.
3) Finding the sum of the first 50 natural numbers by initializing a sum and counter, adding the counter to the sum, and repeating until the sum reaches 50.
The document discusses divide and conquer algorithms and merge sort. It provides details on how merge sort works including: (1) Divide the input array into halves recursively until single element subarrays, (2) Sort the subarrays using merge sort recursively, (3) Merge the sorted subarrays back together. The overall running time of merge sort is analyzed to be θ(nlogn) as each level of recursion contributes θ(n) work and there are logn levels of recursion.
The document discusses the Apriori algorithm, which is used for mining frequent itemsets from transactional databases. It begins with an overview and definition of the Apriori algorithm and its key concepts like frequent itemsets, the Apriori property, and join operations. It then outlines the steps of the Apriori algorithm, provides an example using a market basket database, and includes pseudocode. The document also discusses limitations of the algorithm and methods to improve its efficiency, as well as advantages and disadvantages.
This document introduces algorithms as a problem-solving tool. It discusses analyzing problems, designing solutions through top-down design, and representing solutions as step-by-step algorithms. Specific algorithm types introduced are stepping, looping with repeat until, while, and for loops. Examples of algorithms are provided for common math problems like finding volume or averages. Readers are prompted to write their own algorithms for practice.
This document introduces algorithms and the process of program development. It defines an algorithm as a precise list of instructions that terminates after a finite number of steps to solve a problem. It discusses methods of specifying algorithms like pseudocode and flowcharts. Properties of algorithms include being finite, unambiguous, and having a defined sequence of execution and input/output. The steps of program development are stated as understanding the problem, planning instructions, coding the program, running and debugging it. Flowcharting guidelines and common symbols are provided. Sample exercises demonstrate writing programs to calculate simple formulas.
The Beginner's Guide for Algorithm ArchitectsCloudNSci
Algorithms present a major opportunity to improve processes and analyze vast amounts of data. This guide teaches you to design algorithm architectures and publish them as commercial data refining services at the Cloud'N'Sci.fi Algorithms-as-a-Service marketplace.
Algorithms are the brain of software. They refine complex data into simple conclusions and smart decisions. They boost processes to save time and money. The Algorithms-as-a-Service concept and marketplace developed by Cloud'N'Sci Ltd allows smooth cooperation between algorithm scientists, application developers and business owners to maximize the benefits from algorithms. Welcome to join the Ecosystem!
The Smarter Way to Commercialize AlgorithmsCloudNSci
The Algorithms-as-a-Service concept and marketplace created by Cloud'N'Sci Ltd offers an easy way to commercialize data refining algorithms and utilize algorithmic power in business applications.
This document discusses EMC's Isilon scale-out storage solution for big data applications. It highlights that Isilon can scale to over 15 petabytes in a single file system and process over 1.6 million file operations per second. It also notes that Isilon provides over 80% storage utilization with automated tiering, a single file system with global namespace, and support for various protocols. The document promotes Isilon as enabling organizations to manage exponentially growing data volumes cost effectively with linear scalability of performance and capacity.
This document discusses the rise of big data and how organizations are adapting. It notes that in 2000, the world generated 2 exabytes of new information and by 2012 that amount was generated every day. It also discusses how EMC acquired Isilon to help customers address the growing need for file-based storage solutions to manage big data. The document outlines the journey organizations are taking to leverage big data, moving from a focus on infrastructure to analytics to predictive applications. It emphasizes how data science teams now collaborate in new, agile ways compared to traditional IT approaches.
This document discusses how the cloud is well suited to address the challenges of big data. It notes that big data sets are getting larger and more complex, requiring new tools and approaches. The cloud optimizes precious IT resources by enabling elastic scaling, global accessibility, easy experimentation, and reducing costs. The cloud empowers users to balance costs and time. Several real-world examples are provided, such as banks using the cloud to perform Monte Carlo simulations and retailers using it for targeted recommendations and click stream analysis.
The Failure of Information Security Classification: A New Model is Afoot!InnoTech
The document discusses shortcomings of traditional information classification systems and proposes a new model. It argues current models lack definition, automation, and a way to assess individual data value. The proposed model groups data by its value to the owner, competitors/military, and if lost. It considers how value changes over time and is influenced by multiple actors and their motivations. The model provides a simple and flexible way to assess risk and take appropriate security actions.
This document discusses IT-as-a-Service (ITaaS) and how IT organizations can transition to provide services in a flexible, on-demand manner like cloud computing. The goals of ITaaS are to deliver improved business agility through a flexible consumption model of standardized internal and external services. Realizing ITaaS requires changes to technology platforms, consumption models, and operations models within the IT organization to function more like an internal service provider.
This document discusses IT-as-a-Service (ITaaS) and how IT departments can leverage cloud technologies to accelerate business agility. The goal of ITaaS is to provide business users with flexible, on-demand access to IT services through a self-service catalog. This represents a shift from traditional IT support models to a more consumer-oriented service model. Achieving ITaaS requires new technology, consumption, and operations models centered around private and public cloud infrastructure, security, standardization, automation, and financial transparency.
This document discusses becoming more agile in project management. It notes that traditional waterfall models focus on long tunnels of work, while agile approaches slice work into smaller increments and iterations to deliver value faster. Going agile requires changes to working culture, not just methodology. True agility integrates clients and production teams for continuous delivery of business value from end to end. Two principles can help bridge client needs into development and operations for integral agility.
The document discusses the challenges that companies face in managing cloud operations as cloud services grow larger, faster, and smarter. It notes that traditional IT operations are not equipped to handle the scale, speed, and complexity of the cloud. Automation and intelligent management tools are needed to gain control over virtual machine and cloud sprawl while improving efficiency, security, and cost management of cloud resources and services. The dynamic era of cloud computing requires convergence of operations and automation to keep up with rising usage, costs, and complexity.
Getting Plone Introduced Into Large Scale Business Operations Plone Conf Oct ...Peter Breithaupt
Presentation held at the annual Plone conference, Oct 2009, Budapast about the introduction of Plone as an attractive & secure alternative document retrieval system.
For those of you using Apple App Keynote a Zip file is attached as well.
Driving the Road to Platform-as-a-Service (PaaS) EMC
Platform-as-a-Service (PaaS) is often regarded as the next frontier of Cloud Computing. PaaS allows application developers to write software that leverages a common set of powerful services like caching and queuing. It also enables deployment of code in a highly automated fashion, without the typical overhead associated with configuration and packaging. PaaS lets you speed up SDLC and deliver elastically scalable and operationally efficient platforms to run data intensive applications. VMware vFabric along with Cloud Foundry is becoming a de facto standard for how to do all of this. Using real-world examples and demonstrations we share with you a roadmap to next-generation Cloud-Enabled applications using VMware and EMC technologies.
Cloud Computing And Soa Convergence Linthicum 02 09 10David Linthicum
This document discusses the convergence of cloud computing and service-oriented architecture (SOA) in enterprises. It defines cloud computing based on NIST and outlines its key characteristics and delivery models. The document advocates organizing cloud-based resources as services and moving appropriate processes, data, and services to the cloud while maintaining governance and security. It provides guidance on when cloud computing may or may not be a good fit and outlines steps for transitioning applications and services to the cloud.
Cyber security in real-time systems is an evolving area with several obstacles and open issues still remaining. [1] Adoption of cloud computing lessons is limited and implementation experiences are narrow, while security and risk management methods are still immature. [2] Best practices are emerging but gaps exist, and the views of regulators and auditors on legal and regulatory issues are still unclear. [3] Overcoming these challenges will require further work to develop robust and accepted security policies, access control, encryption, and flexibility in contractual agreements.
IBM is introducing a new family of expert integrated systems called IBM PureSystems. PureSystems include the PureFlex system, which offers pre-configured infrastructure systems, and the PureApplication system, which offers pre-integrated platform systems tuned for specific middleware stacks. PureSystems are designed to deliver built-in expertise, integration by design, and a simplified experience. They provide flexibility, simplicity, and agility through a combination of client-tuned systems, appliances, and cloud-like capabilities.
The cloud computing gold rush - distinguish black sheep from business chancesjosarek
On September 25th 2012 Skilltower Institute CEO Joerg Osarek is giving a keynote on the subject of the cloud computing gold rush at the heise event “application of the cloud in business”. The event is taking place in Cologne Germany and covers many interesting aspects of today’s cloud computing. Together with Andreas Wolske, CEO of managedhosting.de GmbH a VMware vCloud Service Provider both will focus on distinguishing real cloud business value from marketing blurp and empty promises of many black sheep on today’s cloud market.
“Tell us your business rules and we will execute them”. This deceptively simple promise of Business Rules Management Systems underestimates the pain felt by practitioners going through their first project. Turning tacit knowledge into executable business rules is a difficult task.
The famous quote from Michael Polanyi, “we know more than we can tell”, summarizes beautifully the challenges faced by business users, business analysts and rules architects. Although partially documented in regulations and business manuals, knowledge is mostly buried deep in the head of knowledge workers and simply asking for it is easier said than done. Is the resulting body of rules comprehensive enough? Is it specific enough? Is it correct and accurate?
In the 1980-90’s, the Artificial Intelligence community invested heavily on various techniques for expert interviews to tackle this very problem. With the winter of AI, expert systems became less popular and so did those efforts. Experts were too few and their time too valuable to participate in those time-consuming interviews.
More recently, Agile Programming transformed development cycles by, among other things, bringing test cases at the forefront of the effort. Communication between product managers and developers has improved by discussing requirements in the context of use cases well established up-front. This talk presents a new approach to knowledge elicitation that combines Agile and AI concepts for the modern usage in Decision Management systems.
In particular, attendees will learn how to accelerate harvesting time and increase the quality of the extracted business rules at the same time. 100% pragmatic advice.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
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.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/how-axelera-ai-uses-digital-compute-in-memory-to-deliver-fast-and-energy-efficient-computer-vision-a-presentation-from-axelera-ai/
Bram Verhoef, Head of Machine Learning at Axelera AI, presents the “How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision” tutorial at the May 2024 Embedded Vision Summit.
As artificial intelligence inference transitions from cloud environments to edge locations, computer vision applications achieve heightened responsiveness, reliability and privacy. This migration, however, introduces the challenge of operating within the stringent confines of resource constraints typical at the edge, including small form factors, low energy budgets and diminished memory and computational capacities. Axelera AI addresses these challenges through an innovative approach of performing digital computations within memory itself. This technique facilitates the realization of high-performance, energy-efficient and cost-effective computer vision capabilities at the thin and thick edge, extending the frontier of what is achievable with current technologies.
In this presentation, Verhoef unveils his company’s pioneering chip technology and demonstrates its capacity to deliver exceptional frames-per-second performance across a range of standard computer vision networks typical of applications in security, surveillance and the industrial sector. This shows that advanced computer vision can be accessible and efficient, even at the very edge of our technological ecosystem.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.