Presentation on Privacy and Security in Data Mining. Where it contains the information about the Mining Process, how it is done, what are the major threats in the process.etc...
Information Security in Big Data : Privacy and Data Miningwanani181
This document discusses the roles involved in data mining processes and privacy concerns. It describes the roles of data provider, data collector, data miner, and decision maker. For each role, it outlines their privacy concerns and approaches that can be used to address those concerns, such as limiting data access, anonymization techniques, and secure multi-party computation. The goal of privacy-preserving data mining is to protect sensitive information while still allowing for useful knowledge discovery from data.
Cyber security refers to protecting computers, networks, programs, and data from unauthorized access or attacks. It involves techniques to defend hardware, software, electronic data, and the services computers provide from theft, damage, or disruption. Viruses are harmful programs that install themselves on computers without permission. To improve cyber security, individuals should use updated software and antivirus programs, strong passwords, and avoid suspicious emails and links while backing up important data. Organizations should train staff to be cyber aware and manage security with suppliers and partners.
This document provides an introduction to IoT security. It discusses key components of IoT including sensors, actuators, microcontrollers, communication capabilities, and identification. The document outlines the ITU-T IoT reference model and describes security challenges at different levels including devices, fog networks, core networks, and data centers. It also discusses common IoT security issues such as unpredictable behavior, device similarity, problematic deployments, lack of upgrades, and lack of transparency. Finally, the document summarizes common IoT security tools including encryption, passwords, hardware security modules, two-factor authentication, and public key infrastructure certificates.
Digital forensic science and its scope manesh tManesh T
This document provides an overview of digital forensics and network forensics. It discusses key topics such as the differences between digital forensics and computer security, common types of digital evidence like disk, memory, and mobile forensics, and the basic steps involved in a digital forensics investigation including identification, acquisition, authentication, analysis, and presentation. It also provides examples of tools used for different types of digital forensics examinations and summarizes the scope and career paths within the field of computer forensics.
Ethical hacking involves using the same techniques as malicious hackers but in a lawful and legitimate way to test an organization's security and help improve it. An ethical hacker obtains permission, then attempts to find and report on vulnerabilities to help organizations fix security issues before criminals can exploit them. The goal is to maintain authorized access, avoid damaging systems, and respect confidentiality and privacy. Ethical hacking follows steps like reconnaissance, scanning, access, reporting results and recommending solutions. It helps balance security, functionality and ease of use.
Its is project based on one of the most interesting and wide topic of Computer Science, named Cyber Security
CONTENT :
1. What is Cyber Security
2. Why Cyber Security is Important
3. Brief History
4. Security Timeline
5. Architecture
6. Cyber Attack Methods
7. Technology for Cyber Secuirty
8. Development in Cyber Security
9. Future Trend in Cyber Security
This document provides an overview of digital forensics. It defines digital forensics and forensic science. Digital forensics involves the preservation, collection, analysis and presentation of digital evidence. There are different branches of digital forensics related to different devices. Examples of digital evidence include emails, photos, transaction logs, documents and computer memory contents. Characteristics of good digital evidence are that it is admissible, authentic, fragile, accurate and convincing. Several digital forensic models are described that involve multiple phases of an investigation. The benefits of digital forensics include protecting against theft, fraud, hacking and viruses. Skills required for digital forensics include technical experience, strong analysis and evidence handling skills.
Side-channel attacks exploit physical implementations of cryptosystems to gain information without using brute force or known vulnerabilities. Common side-channel attacks include timing attacks, power analysis, electromagnetic analysis, acoustic analysis, and fault injection. Examples include using timing information to deduce private keys from OpenSSL and Apache servers, recovering passwords from keyboard sounds, and extracting encryption keys from electromagnetic emissions or by freezing RAM. Defenses depend on the system and attack but imagination limits hackers' techniques.
Information Security in Big Data : Privacy and Data Miningwanani181
This document discusses the roles involved in data mining processes and privacy concerns. It describes the roles of data provider, data collector, data miner, and decision maker. For each role, it outlines their privacy concerns and approaches that can be used to address those concerns, such as limiting data access, anonymization techniques, and secure multi-party computation. The goal of privacy-preserving data mining is to protect sensitive information while still allowing for useful knowledge discovery from data.
Cyber security refers to protecting computers, networks, programs, and data from unauthorized access or attacks. It involves techniques to defend hardware, software, electronic data, and the services computers provide from theft, damage, or disruption. Viruses are harmful programs that install themselves on computers without permission. To improve cyber security, individuals should use updated software and antivirus programs, strong passwords, and avoid suspicious emails and links while backing up important data. Organizations should train staff to be cyber aware and manage security with suppliers and partners.
This document provides an introduction to IoT security. It discusses key components of IoT including sensors, actuators, microcontrollers, communication capabilities, and identification. The document outlines the ITU-T IoT reference model and describes security challenges at different levels including devices, fog networks, core networks, and data centers. It also discusses common IoT security issues such as unpredictable behavior, device similarity, problematic deployments, lack of upgrades, and lack of transparency. Finally, the document summarizes common IoT security tools including encryption, passwords, hardware security modules, two-factor authentication, and public key infrastructure certificates.
Digital forensic science and its scope manesh tManesh T
This document provides an overview of digital forensics and network forensics. It discusses key topics such as the differences between digital forensics and computer security, common types of digital evidence like disk, memory, and mobile forensics, and the basic steps involved in a digital forensics investigation including identification, acquisition, authentication, analysis, and presentation. It also provides examples of tools used for different types of digital forensics examinations and summarizes the scope and career paths within the field of computer forensics.
Ethical hacking involves using the same techniques as malicious hackers but in a lawful and legitimate way to test an organization's security and help improve it. An ethical hacker obtains permission, then attempts to find and report on vulnerabilities to help organizations fix security issues before criminals can exploit them. The goal is to maintain authorized access, avoid damaging systems, and respect confidentiality and privacy. Ethical hacking follows steps like reconnaissance, scanning, access, reporting results and recommending solutions. It helps balance security, functionality and ease of use.
Its is project based on one of the most interesting and wide topic of Computer Science, named Cyber Security
CONTENT :
1. What is Cyber Security
2. Why Cyber Security is Important
3. Brief History
4. Security Timeline
5. Architecture
6. Cyber Attack Methods
7. Technology for Cyber Secuirty
8. Development in Cyber Security
9. Future Trend in Cyber Security
This document provides an overview of digital forensics. It defines digital forensics and forensic science. Digital forensics involves the preservation, collection, analysis and presentation of digital evidence. There are different branches of digital forensics related to different devices. Examples of digital evidence include emails, photos, transaction logs, documents and computer memory contents. Characteristics of good digital evidence are that it is admissible, authentic, fragile, accurate and convincing. Several digital forensic models are described that involve multiple phases of an investigation. The benefits of digital forensics include protecting against theft, fraud, hacking and viruses. Skills required for digital forensics include technical experience, strong analysis and evidence handling skills.
Side-channel attacks exploit physical implementations of cryptosystems to gain information without using brute force or known vulnerabilities. Common side-channel attacks include timing attacks, power analysis, electromagnetic analysis, acoustic analysis, and fault injection. Examples include using timing information to deduce private keys from OpenSSL and Apache servers, recovering passwords from keyboard sounds, and extracting encryption keys from electromagnetic emissions or by freezing RAM. Defenses depend on the system and attack but imagination limits hackers' techniques.
Computer forensics relates to identifying digital evidence from computer systems, securing and preserving that evidence, analyzing it, and documenting findings. It serves both public and private sectors to provide evidence and prevent criminal computer activity. The process involves identifying sources of digital evidence, preserving it from loss or corruption, analyzing the evidence, and presenting it in legal contexts.
How To Learn The Network Security
Slide berikut merupakan slide yang berisikan dasar-dasar bagi kita dalam memahami konsep keamanan jaringan komputer, baik dari sisi inftrastruktur, teknologi dan paradigma bagi pengguna.
Materi yang diberikan sudah disusun oleh Pakar yang merupakan Trainer CEH dan memang berkompeten dibidang keamanan jaringan.
Slide ini saya dapatkan dari beliau saat mengikut training Certified Computer Security Officer (CCSO) dan Certified Computer Security Analyst (CCSA) dari beliau.
Semoga bermanfaat sebagai acuan bagi kita untuk belajar tentang keamanan jaringan komputer.
Terimakasih
This document discusses information security and system security. It defines information, information security, and the goals of security including confidentiality, integrity and availability. It describes different types of attacks such as interruption, interception, modification and fabrication. It explains passive attacks like eavesdropping and traffic analysis, as well as active attacks including masquerade, replay, message modification, and denial of service. The document outlines why computer security is needed and covers topics like vulnerabilities, threats, and controls to protect against various security risks.
The presentation explains about Data Security as an industrial concept. It addresses
its concern on Data Loss Prevention in detail, from what it is, its approach, the best practices and
common mistakes people make for the same. The presentation concludes with highlighting
Happiest Minds' expertise in the domain.
Learn more about Happiest Minds Data Security Service Offerings
http://www.happiestminds.com/IT-security-services/data-security-services/
The document outlines the steps of a cyber forensic investigation process:
1. Verification and identification of systems involved to collect relevant data.
2. Preservation, collection and acquisition of evidence from systems in a manner that minimizes data loss and maintains a legally defensible chain of custody.
3. Processing, review and analysis of collected data through techniques like timeline analysis, keyword searching and data recovery to find relevant evidence.
The document discusses cyber terrorism, defining it as the politically motivated use of computers and technology to cause disruption or fear. It outlines key features like difficulty identifying attackers and lack of boundaries. Common attack methods are described as IP spoofing, password cracking, and denial-of-service attacks. Examples of cyber terrorism include hacking, introducing viruses, website defacing, and terroristic threats by email. The document concludes by emphasizing the need for vigilance, updated security software, and protecting personal information to prevent cyber terrorism.
The CIA Triad - Assurance on Information SecurityBharath Rao
Confidentiality, Integrity and Availability of Data are the basis for providing assurance on IS Security. This document gives a small overview of the impact of confidentiality, integrity and availability on the data and the need of securing the CIA.
Keamanan Informasi dan Perlindungan Data PribadiWidy Widyawan
UU PDP memuat ketentuan yang cukup memadai untuk melindungi hak atas privasi warga negara. Namun, beberapa aspek seperti kepemilikan data pribadi, batasan transfer antar pengendali data, dan sanksi bagi pelanggaran oleh badan publik masih perlu diperjelas. Keamanan sistem informasi juga perlu mendapat perhatian lebih dalam rangka menjamin privasi data.
Practical Applications of Machine Learning in Cybersecurityscoopnewsgroup
This document discusses machine learning and analytics applications in cybersecurity. It provides an overview of machine learning concepts and terms. It then discusses McAfee's analytic ecosystem and how machine learning, deep learning, and AI are applied across McAfee products. The document outlines risks in analytic development like bias, adversarial machine learning, and lack of explainability. It emphasizes the importance of an analytic development protocol that includes validation, verification, and risk assessment. The goal is to develop analytics in a responsible way and mitigate hype around new techniques.
The document discusses information security frameworks and principles. It introduces the CIA triad of confidentiality, integrity, and availability as key principles of information security. It also outlines standards from NIST and ISO, such as ISO 27002, that define best practices for information security management across various domains.
Introduction
What is Cyber Crime?
Computer crime, or cybercrime, is crime that involves a computer and a network. The computer may have been used in the commission of a crime, or it may be the target.
What is Cyber Security?
C
yber security, also known as computer security or IT security, is the protection of information systems from theft or damage to the hardware, the software, and to the information on them, as well as from disruption or misdirection of the services they provide. It includes controlling physical access to the hardware, as well as protecting against harm that may come via network access, data and code injection and due to malpractice by operators,whether intentional, accidental, or due to them being tricked into deviating from secure procedures.
The field is of growing importance due to the increasing reliance on computer systems in most societies and the growth of "smart" devices,including smartphones, televisions and tiny devices as part of the Internet of Things – and of the Internet and wireless network such as Bluetooth and Wi-Fi.
Some organizations are turning to big data platforms, such as Apache Hadoop, to extend data accessibility and machine learning to detect advanced persistent threats.
Vulnerabilities and Attacks
Vulnerability is a system susceptibility or flaw, and much vulnerability are documented in the Common Vulnerabilities and Exposures (CVE) database and vulnerability management is the cyclical practice of identifying, classifying, remediating, and mitigating vulnerabilities as they are discovered.
An exploitable vulnerability is one for which at least one working attack or "exploit" exists.
To secure a computer system, it is important to understand the attacks that can be made against it, and these threats can typically be classified into one of the categories below.
This document defines hacking and discusses its history and types. It began in the 1960s at MIT and was done by early computer programmers out of curiosity. There are three main types of hackers - black hat hackers violate security for gain/malice, white hats exploit weaknesses ethically, and grey hats fall in between. Reasons for hacking include fun, status, stealing information, or destroying enemy networks. The document outlines various hacking techniques like website, network, password and computer hacking. It provides tips for securing data and accounts as well as discussing advantages like recovering lost information and disadvantages like harming privacy and illegality.
Application of Machine Learning in CybersecurityPratap Dangeti
The document discusses applying machine learning techniques in cybersecurity. It provides examples of using ML for automatic intrusion detection, including phishing URL detection, malware detection, network behavior anomaly detection, and insider threat detection. Additional applications covered include assessing password strength and using deep steganography for encrypting messages. The document references several datasets and outlines the machine learning workflow and evaluation metrics for each application.
Internet of Things (IoT) Security and Privacy Recommendations by Jason Living...CableLabs
As IoT insecurity creates vulnerabilities, policymakers become concerned about the health of the Internet. How can public policy address these concerns in a smart way, targeting their efforts to improve IoT security without imposing unnecessary costs across the Internet ecosystem or creating unintended effects? What is the role of government versus industry?
Jason Livingood
Vice President, Technology Policy & Standards, Comcast
https://www.cablelabs.com/informed/
This document provides an overview of IoT security. It begins with definitions of IoT and IoT security, explaining that IoT security aims to secure connected devices and objects from attackers. Key elements of IoT security include authentication, access control, data security, non-repudiation, and data availability. Common problems are device hijacking, insufficient testing/updates, botnet attacks, lack of user awareness, and default passwords. The document outlines solutions like strong passwords, timely firmware updates, and private networks. Common attacks are botnets, denial of service, man-in-the-middle, social engineering, and ransomware. It concludes by noting career opportunities in IoT security fields like healthcare, manufacturing, and transportation
Cyber security refers to the technologies and processes designed to protect computers, networks and data from unauthorized access, vulnerabilities and attacks delivered via the Internet by cyber criminals.
It includes communication security, network security and information security.
The main problem increasing day by day is cyber crime. Crime committed using a computer and the internet to steal data or information is known as cyber crime. It is one of the disadvantages of internet. It is totally an illegal activity.
Cybercrime involves using computers or the internet to steal identities or import illegal programs. The first recorded cybercrime took place in 1820. There are different types of cybercrimes such as hacking, denial of service attacks, computer viruses, and software piracy. Cybercrimes also include using computers to attack other systems, commit real-world crimes, or steal proprietary information. Common cyber attacks include financial fraud, sabotage of networks, theft of data, and unauthorized access. Internet security aims to establish rules to protect against such attacks by using antivirus software, firewalls, and updating security settings regularly.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Computer forensics relates to identifying digital evidence from computer systems, securing and preserving that evidence, analyzing it, and documenting findings. It serves both public and private sectors to provide evidence and prevent criminal computer activity. The process involves identifying sources of digital evidence, preserving it from loss or corruption, analyzing the evidence, and presenting it in legal contexts.
How To Learn The Network Security
Slide berikut merupakan slide yang berisikan dasar-dasar bagi kita dalam memahami konsep keamanan jaringan komputer, baik dari sisi inftrastruktur, teknologi dan paradigma bagi pengguna.
Materi yang diberikan sudah disusun oleh Pakar yang merupakan Trainer CEH dan memang berkompeten dibidang keamanan jaringan.
Slide ini saya dapatkan dari beliau saat mengikut training Certified Computer Security Officer (CCSO) dan Certified Computer Security Analyst (CCSA) dari beliau.
Semoga bermanfaat sebagai acuan bagi kita untuk belajar tentang keamanan jaringan komputer.
Terimakasih
This document discusses information security and system security. It defines information, information security, and the goals of security including confidentiality, integrity and availability. It describes different types of attacks such as interruption, interception, modification and fabrication. It explains passive attacks like eavesdropping and traffic analysis, as well as active attacks including masquerade, replay, message modification, and denial of service. The document outlines why computer security is needed and covers topics like vulnerabilities, threats, and controls to protect against various security risks.
The presentation explains about Data Security as an industrial concept. It addresses
its concern on Data Loss Prevention in detail, from what it is, its approach, the best practices and
common mistakes people make for the same. The presentation concludes with highlighting
Happiest Minds' expertise in the domain.
Learn more about Happiest Minds Data Security Service Offerings
http://www.happiestminds.com/IT-security-services/data-security-services/
The document outlines the steps of a cyber forensic investigation process:
1. Verification and identification of systems involved to collect relevant data.
2. Preservation, collection and acquisition of evidence from systems in a manner that minimizes data loss and maintains a legally defensible chain of custody.
3. Processing, review and analysis of collected data through techniques like timeline analysis, keyword searching and data recovery to find relevant evidence.
The document discusses cyber terrorism, defining it as the politically motivated use of computers and technology to cause disruption or fear. It outlines key features like difficulty identifying attackers and lack of boundaries. Common attack methods are described as IP spoofing, password cracking, and denial-of-service attacks. Examples of cyber terrorism include hacking, introducing viruses, website defacing, and terroristic threats by email. The document concludes by emphasizing the need for vigilance, updated security software, and protecting personal information to prevent cyber terrorism.
The CIA Triad - Assurance on Information SecurityBharath Rao
Confidentiality, Integrity and Availability of Data are the basis for providing assurance on IS Security. This document gives a small overview of the impact of confidentiality, integrity and availability on the data and the need of securing the CIA.
Keamanan Informasi dan Perlindungan Data PribadiWidy Widyawan
UU PDP memuat ketentuan yang cukup memadai untuk melindungi hak atas privasi warga negara. Namun, beberapa aspek seperti kepemilikan data pribadi, batasan transfer antar pengendali data, dan sanksi bagi pelanggaran oleh badan publik masih perlu diperjelas. Keamanan sistem informasi juga perlu mendapat perhatian lebih dalam rangka menjamin privasi data.
Practical Applications of Machine Learning in Cybersecurityscoopnewsgroup
This document discusses machine learning and analytics applications in cybersecurity. It provides an overview of machine learning concepts and terms. It then discusses McAfee's analytic ecosystem and how machine learning, deep learning, and AI are applied across McAfee products. The document outlines risks in analytic development like bias, adversarial machine learning, and lack of explainability. It emphasizes the importance of an analytic development protocol that includes validation, verification, and risk assessment. The goal is to develop analytics in a responsible way and mitigate hype around new techniques.
The document discusses information security frameworks and principles. It introduces the CIA triad of confidentiality, integrity, and availability as key principles of information security. It also outlines standards from NIST and ISO, such as ISO 27002, that define best practices for information security management across various domains.
Introduction
What is Cyber Crime?
Computer crime, or cybercrime, is crime that involves a computer and a network. The computer may have been used in the commission of a crime, or it may be the target.
What is Cyber Security?
C
yber security, also known as computer security or IT security, is the protection of information systems from theft or damage to the hardware, the software, and to the information on them, as well as from disruption or misdirection of the services they provide. It includes controlling physical access to the hardware, as well as protecting against harm that may come via network access, data and code injection and due to malpractice by operators,whether intentional, accidental, or due to them being tricked into deviating from secure procedures.
The field is of growing importance due to the increasing reliance on computer systems in most societies and the growth of "smart" devices,including smartphones, televisions and tiny devices as part of the Internet of Things – and of the Internet and wireless network such as Bluetooth and Wi-Fi.
Some organizations are turning to big data platforms, such as Apache Hadoop, to extend data accessibility and machine learning to detect advanced persistent threats.
Vulnerabilities and Attacks
Vulnerability is a system susceptibility or flaw, and much vulnerability are documented in the Common Vulnerabilities and Exposures (CVE) database and vulnerability management is the cyclical practice of identifying, classifying, remediating, and mitigating vulnerabilities as they are discovered.
An exploitable vulnerability is one for which at least one working attack or "exploit" exists.
To secure a computer system, it is important to understand the attacks that can be made against it, and these threats can typically be classified into one of the categories below.
This document defines hacking and discusses its history and types. It began in the 1960s at MIT and was done by early computer programmers out of curiosity. There are three main types of hackers - black hat hackers violate security for gain/malice, white hats exploit weaknesses ethically, and grey hats fall in between. Reasons for hacking include fun, status, stealing information, or destroying enemy networks. The document outlines various hacking techniques like website, network, password and computer hacking. It provides tips for securing data and accounts as well as discussing advantages like recovering lost information and disadvantages like harming privacy and illegality.
Application of Machine Learning in CybersecurityPratap Dangeti
The document discusses applying machine learning techniques in cybersecurity. It provides examples of using ML for automatic intrusion detection, including phishing URL detection, malware detection, network behavior anomaly detection, and insider threat detection. Additional applications covered include assessing password strength and using deep steganography for encrypting messages. The document references several datasets and outlines the machine learning workflow and evaluation metrics for each application.
Internet of Things (IoT) Security and Privacy Recommendations by Jason Living...CableLabs
As IoT insecurity creates vulnerabilities, policymakers become concerned about the health of the Internet. How can public policy address these concerns in a smart way, targeting their efforts to improve IoT security without imposing unnecessary costs across the Internet ecosystem or creating unintended effects? What is the role of government versus industry?
Jason Livingood
Vice President, Technology Policy & Standards, Comcast
https://www.cablelabs.com/informed/
This document provides an overview of IoT security. It begins with definitions of IoT and IoT security, explaining that IoT security aims to secure connected devices and objects from attackers. Key elements of IoT security include authentication, access control, data security, non-repudiation, and data availability. Common problems are device hijacking, insufficient testing/updates, botnet attacks, lack of user awareness, and default passwords. The document outlines solutions like strong passwords, timely firmware updates, and private networks. Common attacks are botnets, denial of service, man-in-the-middle, social engineering, and ransomware. It concludes by noting career opportunities in IoT security fields like healthcare, manufacturing, and transportation
Cyber security refers to the technologies and processes designed to protect computers, networks and data from unauthorized access, vulnerabilities and attacks delivered via the Internet by cyber criminals.
It includes communication security, network security and information security.
The main problem increasing day by day is cyber crime. Crime committed using a computer and the internet to steal data or information is known as cyber crime. It is one of the disadvantages of internet. It is totally an illegal activity.
Cybercrime involves using computers or the internet to steal identities or import illegal programs. The first recorded cybercrime took place in 1820. There are different types of cybercrimes such as hacking, denial of service attacks, computer viruses, and software piracy. Cybercrimes also include using computers to attack other systems, commit real-world crimes, or steal proprietary information. Common cyber attacks include financial fraud, sabotage of networks, theft of data, and unauthorized access. Internet security aims to establish rules to protect against such attacks by using antivirus software, firewalls, and updating security settings regularly.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
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!
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
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
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.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
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
20. Presented by
Aakash Monthero (161702) Abhishek.L.R (161704) Deelan Montero(161726)
Nidhi (161752) Vinitha D’souza(161785)
VI Sem.M.C.A
Aloysius Institute of Management and Information Technology