SentinelOne Partner Sales Accreditation 101 Certificate.pdf
•
0 likes•322 views
Angelo Settembre completed the SentinelOne Partner Sales Accreditation 101 online course on April 29, 2022 at 7:10 AM. The accreditation is valid until April 29, 2023 at 7:10 AM. The course was a Group Live session with Registry ID# 145449605 delivered by Ken Marks, VP WW Channels at 444 Castro Street, Suite 400 in Mountain View, CA 94041.
Report
Share
Report
Share
Download to read offline
Recommended
Data Structures for Statistical Computing in Python
The document discusses statistical data structures in Python. It summarizes that structured arrays are commonly used to store statistical data sets but have limitations. The R data frame is introduced as a flexible alternative that inspired the pandas library in Python. Pandas aims to create intuitive data structures for statistical analysis with labeled axes and automatic data alignment. Its core data structure, the DataFrame, functions similarly to R's data frame.
Sentiment Analysis
This document appears to be a presentation on sentiment analysis by M. Almenea and M. Albidah. It discusses the need for sentiment analysis to study emotions and opinions expressed in text. It also mentions that companies can use sentiment analysis to understand customer opinions without surveys. The presentation outlines the system design process for sentiment analysis and discusses some of the challenges, such as named entity recognition and language complexity.
Sentiment Analysis
This document discusses sentiment analysis. It defines sentiment analysis as analyzing text to determine the writer's feelings and opinions. It notes the rapid growth of subjective text online and how businesses and individuals can benefit from understanding sentiments. It describes common applications like brand analysis and political opinion mining. It also outlines different approaches to sentiment analysis like using semantics, machine learning classifiers, and sentiment lexicons. The document provides an example implementation and discusses advantages like lower costs and more accurate customer feedback.
Amazon Product Sentiment review
Using Gensim's Doc2Vec models (DM and DBOW) classify sentiments using Logistic, SVM, SGD and Deep Belief Network
UX 아카데미 오픈프로젝트 [호갱노노 - UX/UI 개선]
라이트브레인 2019 UX 아카데미 Open Project입니다.
이번에 소개해 드릴 프로젝트는 '호갱노노 - UX/UI 개선 프로젝트'입니다.
지난 10월~12월까지 진행된 UX교육기간 동안 정규과정의 수업 뿐만아니라 별도의 조별 모임을 통해 과제와 프로젝트를 진행하며 만들어 낸 신선한 아이디어를 Rightbrain lab을 통해 공개합니다.
라이트브레인 아카데미 수강생들이 어떤 과정을 통해 아이디에이션하고 또 인사이트과 컨셉을 도출했는지 궁금하시다면 지금 바로 슬라이드쉐어로 내용을 확인하세요.
Recommended
Data Structures for Statistical Computing in Python
The document discusses statistical data structures in Python. It summarizes that structured arrays are commonly used to store statistical data sets but have limitations. The R data frame is introduced as a flexible alternative that inspired the pandas library in Python. Pandas aims to create intuitive data structures for statistical analysis with labeled axes and automatic data alignment. Its core data structure, the DataFrame, functions similarly to R's data frame.
Sentiment Analysis
This document appears to be a presentation on sentiment analysis by M. Almenea and M. Albidah. It discusses the need for sentiment analysis to study emotions and opinions expressed in text. It also mentions that companies can use sentiment analysis to understand customer opinions without surveys. The presentation outlines the system design process for sentiment analysis and discusses some of the challenges, such as named entity recognition and language complexity.
Sentiment Analysis
This document discusses sentiment analysis. It defines sentiment analysis as analyzing text to determine the writer's feelings and opinions. It notes the rapid growth of subjective text online and how businesses and individuals can benefit from understanding sentiments. It describes common applications like brand analysis and political opinion mining. It also outlines different approaches to sentiment analysis like using semantics, machine learning classifiers, and sentiment lexicons. The document provides an example implementation and discusses advantages like lower costs and more accurate customer feedback.
Amazon Product Sentiment review
Using Gensim's Doc2Vec models (DM and DBOW) classify sentiments using Logistic, SVM, SGD and Deep Belief Network
UX 아카데미 오픈프로젝트 [호갱노노 - UX/UI 개선]
라이트브레인 2019 UX 아카데미 Open Project입니다.
이번에 소개해 드릴 프로젝트는 '호갱노노 - UX/UI 개선 프로젝트'입니다.
지난 10월~12월까지 진행된 UX교육기간 동안 정규과정의 수업 뿐만아니라 별도의 조별 모임을 통해 과제와 프로젝트를 진행하며 만들어 낸 신선한 아이디어를 Rightbrain lab을 통해 공개합니다.
라이트브레인 아카데미 수강생들이 어떤 과정을 통해 아이디에이션하고 또 인사이트과 컨셉을 도출했는지 궁금하시다면 지금 바로 슬라이드쉐어로 내용을 확인하세요.
Luận văn thạc sĩ: Khảo sát văn học dân gian Stiêng, HOT, 9đ
Luận văn thạc sĩ: Khảo sát văn học dân gian Stiêng, HOT, 9đDịch Vụ Viết Bài Trọn Gói ZALO 0917193864
Nhận viết luận văn đại học, thạc sĩ trọn gói, chất lượng, LH ZALO=>0909232620
Tham khảo dịch vụ, bảng giá tại: https://vietbaitotnghiep.com/dich-vu-viet-thue-luan-van
Download luận văn thạc sĩ ngành văn học Việt Nam với đề tài: Khảo sát văn học dân gian Stiêng, cho các bạn làm luận văn tham khảofancily 인터랙티브미디어디자인 중간발표
This document outlines the process for developing a digital diary service called "Fancily" targeted towards K-pop fans. It involved researching K-pop fans as the target user group, exploring existing diary and scheduling apps, visualizing the service concept as a digital diary, and designing brand elements. The proposed service would allow fans to curate personalized diaries by inserting various media content about their favorite artists and share their customized diaries and creative items with other fans.
이해관계자 디자인 맵 개발 Tool kit
로아컨설팅이 개발한 이해관계자(Stakeholder)를 중심으로 비즈니스 구조를 파악하고, 실행전략을 수립할 수 있도록 고안된 디자인씽킹툴입니다.
본 가이드라인을 따라 사업부문 별 이해관계자 구도와 역할, 영향력과 관심도를 중심으로 한 포지셔닝, 가장 유리한 이해관계자 맵 작성을 위한 방법, 실행전략을 수립해 볼 수 있습니다.
Sentiment classification for product reviews (documentation)
The documentation of the pre-master graduation project prepared by my self and my colleagues Mostafa Ameen, Mai M. Farag and Mohamed Abd El kader.
If you want me to conduct any similar research for you you can have my service through this link: https://www.fiverr.com/meizzo/convert-your-textual-data-set-from-csv-file-format-to-arff-format-for-weka
Fingerprint detection
This is a complete report on Bio-metrics, finger print detection. It include what finger print is, how to scan and refin finger print, how the mechanism of its detection work, applications, etc
Blind authentication
This document summarizes a seminar presentation on blind authentication, a secure crypto-biometric authentication protocol. The presentation discusses biometrics and biometric authentication systems, then defines blind authentication as a protocol that only reveals a user's identity and no other information to authenticating servers. It describes the enrollment and authentication processes, which use cryptography techniques like encryption to protect biometric templates and allow for template revocation. The presentation highlights advantages like fast, secure authentication without compromising accuracy or privacy by revealing personal information like biometric templates. It concludes that blind authentication provides real-time verification with minimal user-server interaction and leaves room for further work on secure enrollment protocols.
Trend detection and analysis on Twitter
This document summarizes a project that analyzed trends on Twitter over time. It used a bag-of-words approach and Twitter's streaming API to collect tweets and detect trends. Key trends like New Year, an Air Asia flight crash, the Sony hack, and a gaming network outage were then analyzed using text preprocessing, sentiment analysis, topic modeling, word clouds, and time series to understand public interest and reactions over time for each event. The conclusion emphasizes that Twitter provides high-quality insights into worldwide interests and is good for trend detection and prediction if data quality is maintained.
IRJET- Credit Card Fraud Detection using Random Forest
This document discusses using random forest machine learning algorithms to detect credit card fraud. It begins with an abstract that outlines using random forest classification on transaction data to improve fraud detection accuracy. The introduction then provides background on credit card fraud and how machine learning has been used for detection. It describes random forest as an advanced decision tree algorithm that can improve efficiency and accuracy over other methods. The paper proposes building a fraud detection model using random forest classification to analyze a transaction dataset and optimize result accuracy. Key performance metrics like accuracy, sensitivity and precision are evaluated.
UX 아카데미 오픈프로젝트 [클럽하우스- UX/UI 개선]
라이트브레인 UX 아카데미 Open Project입니다.
이번에 소개해 드릴 결과물은 최근 핫한 음성기반 SNS 플랫폼 ‘클럽하우스 – UX/UI 개선 프로젝트’입니다.
클럽하우스는 2020년 3월 출시된 음성기반 SNS로 초청장을 받아야 이용 가능하며 방을 만들어 실시간 음성대화로 소통할 수 있습니다.
실리콘 벨리 중심으로 스타트업계 창업자, 투자자들이 주도하는 커뮤니티로 폭발적인 인기를 끌었으며 테슬라의 일론 머스크와 페이스북의 마크 저커버그도 주목한 소셜 플랫폼입니다.
지난 UX 아카데미 14기 교육 기간 동안 정규과정의 수업 뿐만아니라 별도의 조별 모임을 통해 과제와 프로젝트를 진행하며 만들어 낸 신선한 아이디어를 Rightbrain lab을 통해 공개합니다.
라이트브레인 아카데미 수강생들이 어떤 과정을 통해 아이디에이션하고 또 인사이트와 컨셉을 도출했는지 궁금하시다면 지금 바로 슬라이드쉐어로 내용을 확인하세요.
Absa project
This document discusses aspect-based sentiment analysis (ABSA) which aims to identify aspects of target entities and the sentiment expressed towards each aspect. It describes 4 tasks: 1) aspect term extraction, 2) aspect term polarity detection, 3) aspect term categorization, and 4) aspect category polarity detection. It provides examples and discusses the tools and methods used for each task, including using the Stanford CoreNLP parser and NLTK. Challenges included some aspect terms not being correctly extracted by rules and assigning polarity when multiple aspects are present. The dataset came from restaurant reviews in XML format.
Sentiment Analysis
This Project Aimed at doing a comprehensive study of Different Machine Learning Approaches on Sentiment Analysis of Movie Reviews. Support Vector Machines were the one that Performed Most Accurately with Radial Basis Function. Lots of Other kernel functions and Kernel Parameters were tried to find the optimal one. We achieved accuracy up to 83%.
UX 아카데미 오픈프로젝트 [ 배달의민족 - UX/UI 개선]
라이트브레인 UX 아카데미 22기 Open Project 로 이번에 소개해 드릴 결과물은 대표적인 배달앱인 ‘배달의민족 – UX/UI 개선 프로젝트’입니다.
지난 UX 아카데미 22기 교육 기간 동안 배달의민족조가 만들어 낸 신선한 아이디어를 Rightbrain lab을 통해 공개해 드립니다.라이트브레인 아카데미 수강생들이 어떤 과정을 통해 아이디에이션 하고 또 인사이트와 컨셉을 도출했는지 궁금하시다면 지금 바로 슬라이드쉐어로 내용을 확인하세요.<!--more-->
3대 배달앱 시장 경쟁 과열, 새로운 전략의 필요성
배달 앱 업계에서는 매년 다양한 신종 배달앱들이 등장함에 따라 경쟁은 더욱 치열해지고 있습니다. 이러한 경쟁 과열 속에서 배달 앱 대표 타이틀을 굳건하게 유지하기 위한 배달의민족만의 차별화된 UX/UI 개선방안을 고민해 보았습니다.
Splunk 7.x Fundamentals Part 1 (eLearning)
This document provides information about an eLearning course titled "Splunk 7.x Fundamentals Part 1" taught by Angelo Settembre on Thursday, August 20, 2020. The course is designed to teach fundamental concepts and skills for using Splunk and lasts 4 credit hours.
Introduction to CyberArk Privileged Access Security
This document appears to contain personal information such as a name, date, and number. It does not provide enough contextual information to determine its purpose or meaning. In just 3 sentences or less, it is difficult to extract any essential high-level information.
More Related Content
What's hot
Luận văn thạc sĩ: Khảo sát văn học dân gian Stiêng, HOT, 9đ
Luận văn thạc sĩ: Khảo sát văn học dân gian Stiêng, HOT, 9đDịch Vụ Viết Bài Trọn Gói ZALO 0917193864
Nhận viết luận văn đại học, thạc sĩ trọn gói, chất lượng, LH ZALO=>0909232620
Tham khảo dịch vụ, bảng giá tại: https://vietbaitotnghiep.com/dich-vu-viet-thue-luan-van
Download luận văn thạc sĩ ngành văn học Việt Nam với đề tài: Khảo sát văn học dân gian Stiêng, cho các bạn làm luận văn tham khảofancily 인터랙티브미디어디자인 중간발표
This document outlines the process for developing a digital diary service called "Fancily" targeted towards K-pop fans. It involved researching K-pop fans as the target user group, exploring existing diary and scheduling apps, visualizing the service concept as a digital diary, and designing brand elements. The proposed service would allow fans to curate personalized diaries by inserting various media content about their favorite artists and share their customized diaries and creative items with other fans.
이해관계자 디자인 맵 개발 Tool kit
로아컨설팅이 개발한 이해관계자(Stakeholder)를 중심으로 비즈니스 구조를 파악하고, 실행전략을 수립할 수 있도록 고안된 디자인씽킹툴입니다.
본 가이드라인을 따라 사업부문 별 이해관계자 구도와 역할, 영향력과 관심도를 중심으로 한 포지셔닝, 가장 유리한 이해관계자 맵 작성을 위한 방법, 실행전략을 수립해 볼 수 있습니다.
Sentiment classification for product reviews (documentation)
The documentation of the pre-master graduation project prepared by my self and my colleagues Mostafa Ameen, Mai M. Farag and Mohamed Abd El kader.
If you want me to conduct any similar research for you you can have my service through this link: https://www.fiverr.com/meizzo/convert-your-textual-data-set-from-csv-file-format-to-arff-format-for-weka
Fingerprint detection
This is a complete report on Bio-metrics, finger print detection. It include what finger print is, how to scan and refin finger print, how the mechanism of its detection work, applications, etc
Blind authentication
This document summarizes a seminar presentation on blind authentication, a secure crypto-biometric authentication protocol. The presentation discusses biometrics and biometric authentication systems, then defines blind authentication as a protocol that only reveals a user's identity and no other information to authenticating servers. It describes the enrollment and authentication processes, which use cryptography techniques like encryption to protect biometric templates and allow for template revocation. The presentation highlights advantages like fast, secure authentication without compromising accuracy or privacy by revealing personal information like biometric templates. It concludes that blind authentication provides real-time verification with minimal user-server interaction and leaves room for further work on secure enrollment protocols.
Trend detection and analysis on Twitter
This document summarizes a project that analyzed trends on Twitter over time. It used a bag-of-words approach and Twitter's streaming API to collect tweets and detect trends. Key trends like New Year, an Air Asia flight crash, the Sony hack, and a gaming network outage were then analyzed using text preprocessing, sentiment analysis, topic modeling, word clouds, and time series to understand public interest and reactions over time for each event. The conclusion emphasizes that Twitter provides high-quality insights into worldwide interests and is good for trend detection and prediction if data quality is maintained.
IRJET- Credit Card Fraud Detection using Random Forest
This document discusses using random forest machine learning algorithms to detect credit card fraud. It begins with an abstract that outlines using random forest classification on transaction data to improve fraud detection accuracy. The introduction then provides background on credit card fraud and how machine learning has been used for detection. It describes random forest as an advanced decision tree algorithm that can improve efficiency and accuracy over other methods. The paper proposes building a fraud detection model using random forest classification to analyze a transaction dataset and optimize result accuracy. Key performance metrics like accuracy, sensitivity and precision are evaluated.
UX 아카데미 오픈프로젝트 [클럽하우스- UX/UI 개선]
라이트브레인 UX 아카데미 Open Project입니다.
이번에 소개해 드릴 결과물은 최근 핫한 음성기반 SNS 플랫폼 ‘클럽하우스 – UX/UI 개선 프로젝트’입니다.
클럽하우스는 2020년 3월 출시된 음성기반 SNS로 초청장을 받아야 이용 가능하며 방을 만들어 실시간 음성대화로 소통할 수 있습니다.
실리콘 벨리 중심으로 스타트업계 창업자, 투자자들이 주도하는 커뮤니티로 폭발적인 인기를 끌었으며 테슬라의 일론 머스크와 페이스북의 마크 저커버그도 주목한 소셜 플랫폼입니다.
지난 UX 아카데미 14기 교육 기간 동안 정규과정의 수업 뿐만아니라 별도의 조별 모임을 통해 과제와 프로젝트를 진행하며 만들어 낸 신선한 아이디어를 Rightbrain lab을 통해 공개합니다.
라이트브레인 아카데미 수강생들이 어떤 과정을 통해 아이디에이션하고 또 인사이트와 컨셉을 도출했는지 궁금하시다면 지금 바로 슬라이드쉐어로 내용을 확인하세요.
Absa project
This document discusses aspect-based sentiment analysis (ABSA) which aims to identify aspects of target entities and the sentiment expressed towards each aspect. It describes 4 tasks: 1) aspect term extraction, 2) aspect term polarity detection, 3) aspect term categorization, and 4) aspect category polarity detection. It provides examples and discusses the tools and methods used for each task, including using the Stanford CoreNLP parser and NLTK. Challenges included some aspect terms not being correctly extracted by rules and assigning polarity when multiple aspects are present. The dataset came from restaurant reviews in XML format.
Sentiment Analysis
This Project Aimed at doing a comprehensive study of Different Machine Learning Approaches on Sentiment Analysis of Movie Reviews. Support Vector Machines were the one that Performed Most Accurately with Radial Basis Function. Lots of Other kernel functions and Kernel Parameters were tried to find the optimal one. We achieved accuracy up to 83%.
UX 아카데미 오픈프로젝트 [ 배달의민족 - UX/UI 개선]
라이트브레인 UX 아카데미 22기 Open Project 로 이번에 소개해 드릴 결과물은 대표적인 배달앱인 ‘배달의민족 – UX/UI 개선 프로젝트’입니다.
지난 UX 아카데미 22기 교육 기간 동안 배달의민족조가 만들어 낸 신선한 아이디어를 Rightbrain lab을 통해 공개해 드립니다.라이트브레인 아카데미 수강생들이 어떤 과정을 통해 아이디에이션 하고 또 인사이트와 컨셉을 도출했는지 궁금하시다면 지금 바로 슬라이드쉐어로 내용을 확인하세요.<!--more-->
3대 배달앱 시장 경쟁 과열, 새로운 전략의 필요성
배달 앱 업계에서는 매년 다양한 신종 배달앱들이 등장함에 따라 경쟁은 더욱 치열해지고 있습니다. 이러한 경쟁 과열 속에서 배달 앱 대표 타이틀을 굳건하게 유지하기 위한 배달의민족만의 차별화된 UX/UI 개선방안을 고민해 보았습니다.
What's hot (20)
Luận văn thạc sĩ: Khảo sát văn học dân gian Stiêng, HOT, 9đ
Luận văn thạc sĩ: Khảo sát văn học dân gian Stiêng, HOT, 9đ
Sentiment classification for product reviews (documentation)
Sentiment classification for product reviews (documentation)
IRJET- Credit Card Fraud Detection using Random Forest
IRJET- Credit Card Fraud Detection using Random Forest
2022 한양대_로컬브랜드_Picnic_애나지_최종제출.pdf
2022 한양대_로컬브랜드_Picnic_애나지_최종제출.pdf
2021 한양대_내셔널브랜드_efill_4NFP_최종제출.pdf
2021 한양대_내셔널브랜드_efill_4NFP_최종제출.pdf
More from Angelo Settembre
Splunk 7.x Fundamentals Part 1 (eLearning)
This document provides information about an eLearning course titled "Splunk 7.x Fundamentals Part 1" taught by Angelo Settembre on Thursday, August 20, 2020. The course is designed to teach fundamental concepts and skills for using Splunk and lasts 4 credit hours.
Introduction to CyberArk Privileged Access Security
This document appears to contain personal information such as a name, date, and number. It does not provide enough contextual information to determine its purpose or meaning. In just 3 sentences or less, it is difficult to extract any essential high-level information.
Fortinet Network Security Associate (NSE) 3
This document is a certificate from the NSE Institute recognizing that Angelo Settembre has completed the NSE 3 Network Security Associate certification. It was issued on May 6, 2020 and is valid for 2 years. The certificate's authenticity can be verified by visiting a URL provided.
Certificate of Course Completion "Introduction to Cybersecurity" powered by C...
This certificate recognizes an individual for completing Cisco's Introduction to Cybersecurity course. The course covered global cyber threats, network vulnerabilities, impacts of attacks, Cisco's security approach, cybersecurity as a growing field, and opportunities in security certifications. The certificate is signed by the VP of Cisco Networking Academy and certifies the individual demonstrated understanding of the key course topics.
Network Security Expert (NSE) 2 The Evolution of Cybersecurity
This document is a certificate from the NSE Institute recognizing that Angelo Settembre completed the NSE 2 Network Security Associate certification on April 7, 2020. The certificate includes a verification code to authenticate it on the NSE Institute website.
Nse 1 certificate
This document is a certificate from the NSE Institute recognizing that Angelo Settembre completed the NSE 1 Network Security Associate certification on April 3, 2020. The certificate is valid for 2 years and its authenticity can be verified online at a provided URL.
More from Angelo Settembre (6)
Introduction to CyberArk Privileged Access Security
Introduction to CyberArk Privileged Access Security
Certificate of Course Completion "Introduction to Cybersecurity" powered by C...
Certificate of Course Completion "Introduction to Cybersecurity" powered by C...
Network Security Expert (NSE) 2 The Evolution of Cybersecurity
Network Security Expert (NSE) 2 The Evolution of Cybersecurity
Recently uploaded
AI-Powered Food Delivery Transforming App Development in Saudi Arabia.pdf
In this blog post, we'll delve into the intersection of AI and app development in Saudi Arabia, focusing on the food delivery sector. We'll explore how AI is revolutionizing the way Saudi consumers order food, how restaurants manage their operations, and how delivery partners navigate the bustling streets of cities like Riyadh, Jeddah, and Dammam. Through real-world case studies, we'll showcase how leading Saudi food delivery apps are leveraging AI to redefine convenience, personalization, and efficiency.
Generating privacy-protected synthetic data using Secludy and Milvus
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Best 20 SEO Techniques To Improve Website Visibility In SERP
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.
20240609 QFM020 Irresponsible AI Reading List May 2024
Everything I found interesting about the irresponsible use of machine intelligence in May 2024
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
June Patch Tuesday
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
20240605 QFM017 Machine Intelligence Reading List May 2024
Everything I found interesting about machines behaving intelligently during May 2024
Fueling AI with Great Data with Airbyte Webinar
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.
“I’m still / I’m still / Chaining from the Block”
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
HCL Notes and Domino License Cost Reduction in the World of DLAU
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
Infrastructure Challenges in Scaling RAG with Custom AI models
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Things to Consider When Choosing a Website Developer for your Website | FODUU
Choosing the right website developer is crucial for your business. This article covers essential factors to consider, including experience, portfolio, technical skills, communication, pricing, reputation & reviews, cost and budget considerations and post-launch support. Make an informed decision to ensure your website meets your business goals.
Essentials of Automations: The Art of Triggers and Actions in FME
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Recently uploaded (20)
AI-Powered Food Delivery Transforming App Development in Saudi Arabia.pdf
AI-Powered Food Delivery Transforming App Development in Saudi Arabia.pdf
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
Infrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI models
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Things to Consider When Choosing a Website Developer for your Website | FODUU
Things to Consider When Choosing a Website Developer for your Website | FODUU
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
SentinelOne Partner Sales Accreditation 101 Certificate.pdf
- 1. Angelo Settembre Has successfully completed the online accreditation: SentinelOne Partner Sales Accreditation 101 Completed Date: 4/29/2022 7:10:00 AM Expiration Date: 4/29/2023 7:10:00 AM ___________________________________________ Ken Marks, VP WW Channels Instructional Delivery Method: Group Live, Registry ID# 145449 605 444 Castro Street, Suite 400 Mountain View, CA 94041