The document provides information about the IT Passport Examination (ITPE) which is a professional certification examination organized through collaboration between organizations in Southeast Asia. The examination is administered by the Information Technology Professionals Examination Council (ITPEC) which was established by member countries to standardize IT professional certifications and ensure they meet international standards. The examination consists of 100 multiple choice questions testing strategies, management, and technology topics over a 165 minute duration. Candidates must achieve an overall score of 60% or higher and 30% or higher in each subject area to pass.
In this talk, I discuss how Micro-economics can be used to describe, explain and prediction the interactions of a user and information retrieval system. The work is based on the ACM SIGIR 2011 paper ( http://dl.acm.org/citation.cfm?id=2009923 ) and is available to download from: http://www.dcs.gla.ac.uk/~leif/papers/azzopardi2011economics.pdf
IRJET - Automated Essay Grading System using Deep LearningIRJET Journal
This document describes an automated essay grading system that uses deep learning techniques. It discusses how previous grading systems used machine learning algorithms like linear regression and support vector machines. It then presents a new system that uses an LSTM and dense neural network model to grade essays on a scale of 1-10. The system preprocesses essays by removing stopwords and numbers before converting the text to word vectors as input to the deep learning model. It aims to reduce the time spent on grading large numbers of essays compared to manual grading.
Hp cmu – easy to use cluster management utility @ hpcday 2012 kievVolodymyr Saviak
The document describes an overview presentation of the HP Insight Cluster Management Utility (CMU). It discusses the CMU's history and capabilities for provisioning, monitoring, and administering HPC clusters. Key points include that CMU can manage thousands of nodes, supports various Linux distributions, and provides tools for cloning, monitoring hardware and workloads, alerting and reactions to issues, and integrating partner software.
This document proposes a secure and efficient key distribution system for communication without a centralized server. It uses a tree-based group Diffie-Hellman protocol to establish a group key and interval-based rekeying algorithms. A queue batch algorithm is introduced that reduces latency and workload by rekeying subtrees at regular intervals in two stages of queueing and merging. The system aims to provide secure collaborative and distributed group key agreement for dynamic peer groups.
The document discusses best practices for accelerating innovation with high-performance computing (HPC). It notes that HPC is used across many industries like engineering, manufacturing, life sciences, geosciences, government, academia, finance, media, and entertainment. It also discusses having a flexible HPC infrastructure that can adapt to changing needs.
Ty Howard is an experienced IT project management instructor and consultant with over 15 years of experience. He holds a PMP certification and has established several project management offices. He teaches at the university level and speaks at large conferences. His educational background includes degrees in sociology, public administration, and instructional technology. He believes in interactive, motivating education. His company, Biz-Nova Consulting, provides IT project management training.
FDMEE Scripting - Cloud and On-Premises - It Ain't Groovy, But It's My Bread ...Joseph Alaimo Jr
This document provides an overview of integrated business analytics and FDMEE scripting. It discusses how enterprise performance management (EPM), business intelligence (BI), and big data (BD) solutions work together to provide answers for improved business performance. It then focuses on FDMEE scripting, covering topics like the FDMEE API, development mode, integration with cloud solutions, and best practices. The presentation is delivered by Tony Scalese of Edgewater Ranzal, an expert in Oracle Hyperion technologies with over 17 years of experience in the field.
In this talk, I discuss how Micro-economics can be used to describe, explain and prediction the interactions of a user and information retrieval system. The work is based on the ACM SIGIR 2011 paper ( http://dl.acm.org/citation.cfm?id=2009923 ) and is available to download from: http://www.dcs.gla.ac.uk/~leif/papers/azzopardi2011economics.pdf
IRJET - Automated Essay Grading System using Deep LearningIRJET Journal
This document describes an automated essay grading system that uses deep learning techniques. It discusses how previous grading systems used machine learning algorithms like linear regression and support vector machines. It then presents a new system that uses an LSTM and dense neural network model to grade essays on a scale of 1-10. The system preprocesses essays by removing stopwords and numbers before converting the text to word vectors as input to the deep learning model. It aims to reduce the time spent on grading large numbers of essays compared to manual grading.
Hp cmu – easy to use cluster management utility @ hpcday 2012 kievVolodymyr Saviak
The document describes an overview presentation of the HP Insight Cluster Management Utility (CMU). It discusses the CMU's history and capabilities for provisioning, monitoring, and administering HPC clusters. Key points include that CMU can manage thousands of nodes, supports various Linux distributions, and provides tools for cloning, monitoring hardware and workloads, alerting and reactions to issues, and integrating partner software.
This document proposes a secure and efficient key distribution system for communication without a centralized server. It uses a tree-based group Diffie-Hellman protocol to establish a group key and interval-based rekeying algorithms. A queue batch algorithm is introduced that reduces latency and workload by rekeying subtrees at regular intervals in two stages of queueing and merging. The system aims to provide secure collaborative and distributed group key agreement for dynamic peer groups.
The document discusses best practices for accelerating innovation with high-performance computing (HPC). It notes that HPC is used across many industries like engineering, manufacturing, life sciences, geosciences, government, academia, finance, media, and entertainment. It also discusses having a flexible HPC infrastructure that can adapt to changing needs.
Ty Howard is an experienced IT project management instructor and consultant with over 15 years of experience. He holds a PMP certification and has established several project management offices. He teaches at the university level and speaks at large conferences. His educational background includes degrees in sociology, public administration, and instructional technology. He believes in interactive, motivating education. His company, Biz-Nova Consulting, provides IT project management training.
FDMEE Scripting - Cloud and On-Premises - It Ain't Groovy, But It's My Bread ...Joseph Alaimo Jr
This document provides an overview of integrated business analytics and FDMEE scripting. It discusses how enterprise performance management (EPM), business intelligence (BI), and big data (BD) solutions work together to provide answers for improved business performance. It then focuses on FDMEE scripting, covering topics like the FDMEE API, development mode, integration with cloud solutions, and best practices. The presentation is delivered by Tony Scalese of Edgewater Ranzal, an expert in Oracle Hyperion technologies with over 17 years of experience in the field.
This document provides a summary of Muhammad Hassan Wali's professional experience and qualifications. He has over 18 years of experience in IT roles, currently serving as Chief Technology Officer at Realcore Solutions since 2017. His experience includes ERP implementations, infrastructure management, data science, security analysis, and ISO 27001 certification. He holds a Master's degree in Computing and Information Systems and has received professional training and certifications in areas such as project management, Oracle, and information security standards.
CEPT Systems is developing a new natural language processing technology called Semantic Fingerprinting that can dramatically improve how businesses process large amounts of text-based data. Their technology, called the CEPT Retina, converts words and documents into semantic fingerprints that capture relationships between meanings. These fingerprints allow for direct comparison of word and document similarities. CEPT offers their technology as a cloud-based API that is simple for developers to use and integrate into various applications. Their technology has 12 application-specific APIs and is aimed to help businesses with tasks like search, classification, discovery, and analytics using semantic analysis of text. An example success story is an online language learning company that is using the CEPT API to lower costs, improve learner motivation, generate
This document contains a professional summary and work experience for Tarun Medimi. He has over 2.7 years of experience as a Teradata developer delivering reporting solutions for Apple Inc. His roles have included developing ETL interfaces, stored procedures, and aggregate tables in Teradata and Oracle databases. He has worked on projects involving customer satisfaction dashboards, staffing attainment reporting, and performance management dashboards. His responsibilities have included requirements gathering, design, development, testing, implementation, and support.
Introdution to Dataops and AIOps (or MLOps)Adrien Blind
This presentation introduces the audience to the DataOps and AIOps practices. It deals with organizational & tech aspects, and provide hints to start you data journey.
How to analyze text data for AI and ML with Named Entity RecognitionSkyl.ai
About the webinar
The Internet is a rich source of data, mainly textual data. But making use of huge quantities of data is a complex and time-consuming task. NLP can help with this problem through the use of Named Entity Recognition systems. Named entities are terms that refer to names, organizations, locations, values etc. NER annotates texts – marking where and what type of named entities occurred in it. This step significantly simplifies further use of such data, allowing for easy categorization of documents, analyze sentiments, improving automatically generated summaries etc.
Further, in many industries, the vocabulary keeps changing and growing with new research, abbreviations, long and complex constructions, and makes it difficult to get accurate results or use rule-based methods. Named Entity Recognition and Classification can help to effectively extract, tag, index, and manage this fast and ever-growing knowledge.
Through this webinar, we will understand how NER can be used to extract key entities from large volumes of text data
What you will learn
- How organizations are leveraging Named Entity Recognition across various industries
- Live demo - Identify & classify complex terms & with NERC (Named Entity Recognition & Categorization)
- Best practice to automate machine learning models in hours not months
Generative AI in CSharp with Semantic Kernel.pptxAlon Fliess
Join Alon Fliess, Azure MVP, and Microsoft RD in an enlightening lecture where C# meets the forefront of AI. Discover how the Semantic Kernel project bridges traditional programming with advanced AI, empowering C# developers to integrate AI functionalities into their software seamlessly.
Experience a paradigm shift in diagnostics through a real-world example: a sophisticated system crafted with C#, Semantic Kernel, and Azure. Witness the synergy of C# and AI in action, optimizing system analysis and problem-solving in complex environments.
Embark on a journey where C# and AI meet.
Information engineering (IE) is a systematic approach to analyzing, designing, implementing, and maintaining software. It originated in Australia in the 1970s and aims to enhance business communication. There are two main variants of IE - one driven by data processing needs and one driven by business needs. IE uses techniques like entity analysis, function analysis, and data flow analysis to model business processes and data. Specialized software tools can assist with IE modeling techniques.
This document contains a resume for Debarpan Mukherjee. It summarizes his professional experience as a System Engineer at Tata Consultancy Services for over 4 years, working on projects for clients like Intel and Deutsche Bank. It also lists his educational qualifications including a B.Tech in Computer Science and Engineering, and technical skills including Oracle PL/SQL, Unix, and data warehousing concepts.
Top 10 Most Demand IT Certifications Course in 2020 - MildainTrainingsMildain Solutions
The professionals in the field of Information Technology understands the importance of certification to their career and growth.
The information provided in this guide is backed by real data. Let us look at the top IT certifications that will remain to be a trend in 2020.
Mildaintrainings https://mildaintrainings.com/ offers Several trainings all over the world.
Aspect-Oriented Software Development (AOSD) is a programming methodology that addresses limitations in object-oriented programming for modularizing cross-cutting concerns. AOSD uses aspects to encapsulate cross-cutting concerns so they can be separated from the core functionality. Aspects are automatically incorporated into the system by a weaver. This improves modularity and makes software easier to maintain and evolve over time.
This document provides an overview of the system analysis conducted for developing a Human Resource Management System (HRMS) for BittCell Systems Pvt. Ltd. Key aspects of the analysis included collecting requirements, studying the current manual system, identifying needs and limitations, and conducting a feasibility study. Tools used in the analysis included data collection, charting, dictionaries, and ER diagrams to understand information flow and relationships. The proposed HRMS aims to increase efficiency by automating employee registration, leave management, payroll, and training processes.
- The document is a personal profile for a senior IT professional with over 10 years of experience in software development, team management, and client relations.
- He has expertise in various Microsoft technologies and has led teams in developing several software applications and tools.
- His experience includes roles managing software development projects and client accounts at various companies, where he delivered projects on time and won new clients.
The document discusses digitalization through the use of domain-specific languages (DSLs). It suggests that DSLs can help accelerate development, simplify customization, and express business goals, requirements, design, and implementation in a single language. The document outlines considerations for whether an organization needs a DSL, how to structure a proof of concept, and how to ensure long term maintenance and adoption of the DSL approach.
Anup Kumar Saha is seeking a challenging career in software development. He has over 8 years of experience in teaching and software development using technologies like Java, Spring, Hibernate, Oracle, and more. His experience includes roles at Cognizant, HCL Technologies, Ericsson, TCS, and others working on projects in various domains for clients like Airtel, GM, and others. He is currently an Assistant Professor but seeking new opportunities.
A confluence of events is accelerating the growth of AI in the Enterprise - (i) The COVID pandemic is accelerating the digital transformation of enterprises, (ii) increased digital sales & digital interaction is fueling interest in operationalizing AI to drive revenue and cost efficiencies and (iii) Enterprise databases and enterprise apps are infusing AI to transparently augment predictive capabilities for clients. Enterprise Power Systems are pillars of the global economy hosting our trinity of operating systems
The document discusses software estimation techniques. It describes estimating the size and cost of software projects using methods like lines of code counting, function point counting, and work breakdown structures. It discusses best practices for software estimation like explicitly defining project scope, using historical metrics, employing multiple techniques or estimators, and accounting for inherent uncertainty. The document then explains techniques like function point analysis in detail, including how to classify components, assign complexity weights, and compute the final function point count and estimation.
Data Workflows for Machine Learning - Seattle DAMLPaco Nathan
First public meetup at Twitter Seattle, for Seattle DAML:
http://www.meetup.com/Seattle-DAML/events/159043422/
We compare/contrast several open source frameworks which have emerged for Machine Learning workflows, including KNIME, IPython Notebook and related Py libraries, Cascading, Cascalog, Scalding, Summingbird, Spark/MLbase, MBrace on .NET, etc. The analysis develops several points for "best of breed" and what features would be great to see across the board for many frameworks... leading up to a "scorecard" to help evaluate different alternatives. We also review the PMML standard for migrating predictive models, e.g., from SAS to Hadoop.
Agile Testing Days 2017 Intoducing AgileBI Sustainably - ExcercisesRaphael Branger
"We now do Agile BI too” is often heard in todays BI community. But can you really "create" agile in Business Intelligence projects? This presentation shows that Agile BI doesn't necessarily start with the introduction of an iterative project approach. An organisation is well advised to establish first the necessary foundations in regards to organisation, business and technology in order to become capable of an iterative, incremental project approach in the BI domain.
In this session you learn which building blocks you need to consider. In addition you will see what a meaningful sequence to these building blocks is. Selected aspects like test automation, BI specific design patterns as well as the Disciplined Agile Framework will be explained in more and practical details.
This document provides a summary of Muhammad Hassan Wali's professional experience and qualifications. He has over 18 years of experience in IT roles, currently serving as Chief Technology Officer at Realcore Solutions since 2017. His experience includes ERP implementations, infrastructure management, data science, security analysis, and ISO 27001 certification. He holds a Master's degree in Computing and Information Systems and has received professional training and certifications in areas such as project management, Oracle, and information security standards.
CEPT Systems is developing a new natural language processing technology called Semantic Fingerprinting that can dramatically improve how businesses process large amounts of text-based data. Their technology, called the CEPT Retina, converts words and documents into semantic fingerprints that capture relationships between meanings. These fingerprints allow for direct comparison of word and document similarities. CEPT offers their technology as a cloud-based API that is simple for developers to use and integrate into various applications. Their technology has 12 application-specific APIs and is aimed to help businesses with tasks like search, classification, discovery, and analytics using semantic analysis of text. An example success story is an online language learning company that is using the CEPT API to lower costs, improve learner motivation, generate
This document contains a professional summary and work experience for Tarun Medimi. He has over 2.7 years of experience as a Teradata developer delivering reporting solutions for Apple Inc. His roles have included developing ETL interfaces, stored procedures, and aggregate tables in Teradata and Oracle databases. He has worked on projects involving customer satisfaction dashboards, staffing attainment reporting, and performance management dashboards. His responsibilities have included requirements gathering, design, development, testing, implementation, and support.
Introdution to Dataops and AIOps (or MLOps)Adrien Blind
This presentation introduces the audience to the DataOps and AIOps practices. It deals with organizational & tech aspects, and provide hints to start you data journey.
How to analyze text data for AI and ML with Named Entity RecognitionSkyl.ai
About the webinar
The Internet is a rich source of data, mainly textual data. But making use of huge quantities of data is a complex and time-consuming task. NLP can help with this problem through the use of Named Entity Recognition systems. Named entities are terms that refer to names, organizations, locations, values etc. NER annotates texts – marking where and what type of named entities occurred in it. This step significantly simplifies further use of such data, allowing for easy categorization of documents, analyze sentiments, improving automatically generated summaries etc.
Further, in many industries, the vocabulary keeps changing and growing with new research, abbreviations, long and complex constructions, and makes it difficult to get accurate results or use rule-based methods. Named Entity Recognition and Classification can help to effectively extract, tag, index, and manage this fast and ever-growing knowledge.
Through this webinar, we will understand how NER can be used to extract key entities from large volumes of text data
What you will learn
- How organizations are leveraging Named Entity Recognition across various industries
- Live demo - Identify & classify complex terms & with NERC (Named Entity Recognition & Categorization)
- Best practice to automate machine learning models in hours not months
Generative AI in CSharp with Semantic Kernel.pptxAlon Fliess
Join Alon Fliess, Azure MVP, and Microsoft RD in an enlightening lecture where C# meets the forefront of AI. Discover how the Semantic Kernel project bridges traditional programming with advanced AI, empowering C# developers to integrate AI functionalities into their software seamlessly.
Experience a paradigm shift in diagnostics through a real-world example: a sophisticated system crafted with C#, Semantic Kernel, and Azure. Witness the synergy of C# and AI in action, optimizing system analysis and problem-solving in complex environments.
Embark on a journey where C# and AI meet.
Information engineering (IE) is a systematic approach to analyzing, designing, implementing, and maintaining software. It originated in Australia in the 1970s and aims to enhance business communication. There are two main variants of IE - one driven by data processing needs and one driven by business needs. IE uses techniques like entity analysis, function analysis, and data flow analysis to model business processes and data. Specialized software tools can assist with IE modeling techniques.
This document contains a resume for Debarpan Mukherjee. It summarizes his professional experience as a System Engineer at Tata Consultancy Services for over 4 years, working on projects for clients like Intel and Deutsche Bank. It also lists his educational qualifications including a B.Tech in Computer Science and Engineering, and technical skills including Oracle PL/SQL, Unix, and data warehousing concepts.
Top 10 Most Demand IT Certifications Course in 2020 - MildainTrainingsMildain Solutions
The professionals in the field of Information Technology understands the importance of certification to their career and growth.
The information provided in this guide is backed by real data. Let us look at the top IT certifications that will remain to be a trend in 2020.
Mildaintrainings https://mildaintrainings.com/ offers Several trainings all over the world.
Aspect-Oriented Software Development (AOSD) is a programming methodology that addresses limitations in object-oriented programming for modularizing cross-cutting concerns. AOSD uses aspects to encapsulate cross-cutting concerns so they can be separated from the core functionality. Aspects are automatically incorporated into the system by a weaver. This improves modularity and makes software easier to maintain and evolve over time.
This document provides an overview of the system analysis conducted for developing a Human Resource Management System (HRMS) for BittCell Systems Pvt. Ltd. Key aspects of the analysis included collecting requirements, studying the current manual system, identifying needs and limitations, and conducting a feasibility study. Tools used in the analysis included data collection, charting, dictionaries, and ER diagrams to understand information flow and relationships. The proposed HRMS aims to increase efficiency by automating employee registration, leave management, payroll, and training processes.
- The document is a personal profile for a senior IT professional with over 10 years of experience in software development, team management, and client relations.
- He has expertise in various Microsoft technologies and has led teams in developing several software applications and tools.
- His experience includes roles managing software development projects and client accounts at various companies, where he delivered projects on time and won new clients.
The document discusses digitalization through the use of domain-specific languages (DSLs). It suggests that DSLs can help accelerate development, simplify customization, and express business goals, requirements, design, and implementation in a single language. The document outlines considerations for whether an organization needs a DSL, how to structure a proof of concept, and how to ensure long term maintenance and adoption of the DSL approach.
Anup Kumar Saha is seeking a challenging career in software development. He has over 8 years of experience in teaching and software development using technologies like Java, Spring, Hibernate, Oracle, and more. His experience includes roles at Cognizant, HCL Technologies, Ericsson, TCS, and others working on projects in various domains for clients like Airtel, GM, and others. He is currently an Assistant Professor but seeking new opportunities.
A confluence of events is accelerating the growth of AI in the Enterprise - (i) The COVID pandemic is accelerating the digital transformation of enterprises, (ii) increased digital sales & digital interaction is fueling interest in operationalizing AI to drive revenue and cost efficiencies and (iii) Enterprise databases and enterprise apps are infusing AI to transparently augment predictive capabilities for clients. Enterprise Power Systems are pillars of the global economy hosting our trinity of operating systems
The document discusses software estimation techniques. It describes estimating the size and cost of software projects using methods like lines of code counting, function point counting, and work breakdown structures. It discusses best practices for software estimation like explicitly defining project scope, using historical metrics, employing multiple techniques or estimators, and accounting for inherent uncertainty. The document then explains techniques like function point analysis in detail, including how to classify components, assign complexity weights, and compute the final function point count and estimation.
Data Workflows for Machine Learning - Seattle DAMLPaco Nathan
First public meetup at Twitter Seattle, for Seattle DAML:
http://www.meetup.com/Seattle-DAML/events/159043422/
We compare/contrast several open source frameworks which have emerged for Machine Learning workflows, including KNIME, IPython Notebook and related Py libraries, Cascading, Cascalog, Scalding, Summingbird, Spark/MLbase, MBrace on .NET, etc. The analysis develops several points for "best of breed" and what features would be great to see across the board for many frameworks... leading up to a "scorecard" to help evaluate different alternatives. We also review the PMML standard for migrating predictive models, e.g., from SAS to Hadoop.
Agile Testing Days 2017 Intoducing AgileBI Sustainably - ExcercisesRaphael Branger
"We now do Agile BI too” is often heard in todays BI community. But can you really "create" agile in Business Intelligence projects? This presentation shows that Agile BI doesn't necessarily start with the introduction of an iterative project approach. An organisation is well advised to establish first the necessary foundations in regards to organisation, business and technology in order to become capable of an iterative, incremental project approach in the BI domain.
In this session you learn which building blocks you need to consider. In addition you will see what a meaningful sequence to these building blocks is. Selected aspects like test automation, BI specific design patterns as well as the Disciplined Agile Framework will be explained in more and practical details.
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
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
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!
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.
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.
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
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.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
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.
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
3. ITPE Configuration of the Examination
Exam Duration : 165 min
100 Question
88 short question
12 medium question ( 3 question consisting of 4
sub-questions each)
Pass Criteria
Total Point 60 % or higher
Point in each field 30% or higher
4. Scope of ITPE information
Strategy (35%) Technology (40%)
Corporate and Legal Basic Theory
Management Strategy Computer System
System Strategy Technical Element
Management (25%) Human
Interfaces
Development Multimedia
Technique Databases
Project Management Networks &
Service Management Security
6. Corporate Activities
Corporate Philosophy
Corporate Objective
medium or long-term goal
Corporate Social Responsibility (CSR)
7. Management Resource
Management resources within the context of
business management refer to
People - Human Resource
Materials - assets
Money - Finances
Information – Information Management
8. Business Management
“PDCA” (Plan, Do, Check, Act) cycle is a
fundamental approach for business
management that involves the execution of a
four-step cycle to continuously improve product
quality and work.
10. Operation
Various kinds of charts and diagrams are used
to analyse,solve, and improve work issues.
Matrix Diagram
Matrix Data Analysis
Grantt chart
14. Legal Affairs
Rights - Rights to protect the use & ownership
Copyright – rule for protection author's work from
publication
Trademark – protect company logo & product name
Patent - Methodology to creation something
15. Software License
Software License - The right to use software,
and is granted by the software maker to the
purchaser
Software is protected under the Copyright Act.
License Agreement – Agreement to using software
Type of Software License
Propitiatory Software
Freeware / Shareware
OpenSource Software
16. Type of Software
Propitiatory Software
Purchase Software
Freeware / Shareware
Free to use
Feature limit or time limit (Shareware)
OpenSource Software
Free to use
Free of charge / Freedom to use
Open source code
17. Standard Organization
ISO (international Organization for
Standardization)
ISO9000
ISO14000
IEEE (Institute of Electrical and Electronics
Engineers)
Lan standard 802.xx
802.3 Ethernet Lan
802.11 Wireless Lan
21. Business execution organization
CEO (Chief Executive Officer)
The “CEO” is responsible for management as the
company’s representative.
COO (Chief Operating Officer)
Under the CEO, the “COO” is responsible for business
operation.
CIO (Chief Information Officer)
The “CIO” has the highest responsibility concerning
information.
CFO (Chief Financial Officer)
The “CFO” is responsible for financial affairs such as
procurement of funds and financial administration.
23. Tech use in Business
POS – 7Eleven
IC chip – Credit Card
RFID – MRT
Electronic money – Smart Purse
GPS – Tracking System
24. E-Business
Electronic commerce (EC)
commercial activities using networks with only a
small amount of investment by cutting the costs
associated.
Type of EC
CtoC – Customer to Customer
BtoC - Business to Customer
BtoB – Business to Business
25. Typical Modeling
E-R Diagram
relationship between data using “entities” and
“relationships.” Entities and relationships have
several characteristics called “attributes.”
Data Flow Diagram (DFD)
The flow of operations as a flow of data
Unified Model Language (UML)
visual language for modeling that standardizes the
conceptual components used in the development
and specification decision stage
28. groupware
Groupware to operation in business
E-Mail
Bulletin Board System (BBS) also web board
Video Conferencing
Chat
Weblog - also know as Blog
Social Network Service (SNS)
38. Agile method
Agile is a group of
software development
methodologies
It promotes adaptive
planning, evolutionary
development and
delivery; time boxed
iterative approach
and encourages rapid
and flexible response
to change
39. Pair Programming
agile software development technique in which
two programmers work together at one
workstation
Programmers being like as the pilot and copilot
on an air plane
1+1 > 2
40. Xtreme Programming
Light-Weighted Methodology
Focus on development stage
Dev & change by user comment
42. Project management
Project manager organize and managing
resources to achieve specific goals
43. IT Service management
ITIL - framework of know-how, best
approaches, best practices, etc. designed to
create a successful business utilizing IT
services.
ITIL is “de facto standard” of IT service
management.
45. Basic theory
numeral system
base 2 (Binary) 0,1
base 8 (Octal) 0,1,2,3,4,5,6,7
base 10 (Decimal) 0,1,2,3,4,5,6,7,8,9
base 16 (Hexadecimal)
0,1,2,3,4,5,6,7,8,9,A,B,C,D,E,F
49. Computer Units
A “bit” is the smallest unit of data which can be
handled by a computer (written as 'bit' or 'b')
Units
8bit = 1Byte
1024Byte = 1KiloByte(KB)
1024KB = 1MegaByte(MB)
1024MB = 1GigaByte(GB)
1024GB = 1TeraByte (TB)
1024TB = 1PetaByte(PB)
52. A/D Conversion
1. Sampling 3. Encoding
2.Quantization 4. Coded to Digital
53. Character Set Encoding
ASCII – ANSI character standard
Use 7bit for each alphanumeric, character and
symbol and 1bit for parity bit
TIS620 – Thai character set Standard
Unicode – ISO Code standard
Use for multi-language code
2 – 3 Bytes per 1character
60. Flow chart & Pseudo code
Flowchart Pseudo code
start;
input time;
if time <= 16 then
echo “He is in school”;
else
if time => 19 then
echo “He is at home”;
else
echo “He is in Playground”;
stop;
61. Programming
Programming Type of Compiler
Machine code Compiler
Assembly C , C++
C, C++, Delphi, Basic,
Interpreter
Cobol, Fortan PHP, ASP,
Python , ruby
JAVA, .net,
python,PHP
just-in-time compiler
JAVA , .net
SQL
HTML , XML
62. Language processor
Compiler
Compile from Source code to binary program
Compile all source and warning errors
Interpretor
Compile Source to binary line by line
Stop compile when it's errors
63. Language processor
JIT Compiler
Compile source to p-code (portable code) like as
java call “byte code”
Interprete by p-code by VM on each platform like as
JVM or .net runtime
64. Markup Language
Markup Language used to write logical
structures in text by means of tags. A “logical
structure” affects textual and graphical layout,
character appearance (written format), and
other elements. Through the use of tags, they
embed control characters into text to express
information related to details such as layout,
character embellishment, and hyperlinks. Two
typical examples of markup languages are
“HTML” and “XML.”
67. CPU
Clock frequency
Cyclical signals to coordinate the timing of
operation
clock frequency is indicated in “Hz (Hertz)”
Bus width
Internal bus
path of transmission used to exchange data
inside CPU
External bus (Front Side Bus)
Path to connect and exchange with external
device such as VGA, PCI Device
68. CPU Type
Type of CPU
CISC – Complex Instruction Set Computer
Also call x86 Architecture
Intel , AMD
RISC – Reduce Instruction Set Computer
Sun Spark
IBM Power
ARM Processor
69. Memory
device that is used to store programs and data
required for processing in the operation of a
computer
Also referred to as “main memory”
70. ROM – Read Only Memory
Non – volatile memory
Most used as Read-only memory
(ROM,EPROM)
Computer Bios
Embedded systems
Mobile ROM
Use as storage data like as Flash
memory(EEPROM)
Compact Flash , SD/MMC, Memory Stick
Flash Drive, Solid State Device (SSD)
71. RAM – Random Access Memory
Volatile memory
Use for main memory or cache
Type of RAM
Static RAM – CPU cache
Dynamic RAM – DDR2, DDR3 RAM
85. Processing method
Interactive Real-time
Game ATM
Word Processor Reserve ticket
Batch
Report profit to Center
86. Operating System
OS is Software to communicate from user and
machine
OS is a system software.
OS working
Memory Management
Resource Management
File Management
User Management
Task Management
88. Operating System
Desktop
MS-Dos
Windows family (7/vista/xp/me/98/95)
OSX (MacOS)
Linux (Ubuntu, Fedora)
Server
Unix (FreeBSD, Solaris, HP-UX)
Linux (Redhat, Slackware, SuSe)
Windows Server family(2008,2003,2000)
89. Open Source Software
OSS is an software
Free of charge
Freedom to use
Open Source have a license
GPL
Apache
94. Network
Network is a form of using multiple computers
by connecting
Network used for
Sharing resource
Data
Storage Device
Printer
Exchange information
Data , Video, chat, email
103. Internet Protocol (IP)
“IP” is a protocol that corresponds to the
network layer (Layer 3) in the OSI model.
Common functions of IP are “addressing” and
“routing.”
IP Address
104. IP Address
Public IP is IP assign by internic (THNIC in
thailand) use to connect to internet
Private IP is IP reserve for use for local. Such
as LAN in company.
Subnet is a prefix to separate Network and
Host number for IP
Class A 255.0.0.0
Class B 255.255.0.0
Class C 255.255.255.0
105. IP Range
Public IP
Class A 1.0.0.0 - 127.255.255.255
Class B 128.0.0.0 - 191.255.255.255
Class C 192.0.0.0 – 223.255.255.255
Private IP
Class A 10.0.0.0 - 10.255.255.255
Class B 172.16.0.0 - 172.31.255.255
Class C 192.168.0.0 - 192.168.255.255
106. Domain Name System
A “domain name”
uses a combination of
characters to
represent an IP
address
DNS is a method to
mapping between
domain name and ip
address to connected
on internet
107. DDOsAttacking
Port scan
Password crack
Stepping stone /
Zombie machine
Dos Attack / Email
bomb
108. Computer Virus
Type of virus infection Virus infection from
Boot sector virus net
Program virus Trojan horse
Macro virus Worm
Spyware
Malware
Adware