Enviar búsqueda
Cargar
Analog to Digital Encoding in Data Communication DC9
•
Descargar como PPT, PDF
•
6 recomendaciones
•
3,476 vistas
K
koolkampus
Seguir
Tecnología
Empresariales
Denunciar
Compartir
Denunciar
Compartir
1 de 27
Descargar ahora
Recomendados
PLC EXAMPLES
Parking Control System using PLC
Parking Control System using PLC
ZunAib Ali
A ppt on Virtual Keyboard which increases human - computer interactions using laser technology and image processing
Virtual keyboard
Virtual keyboard
Teja Rachakonda
presentation on virtual keyboard
Virtual keyboard
Virtual keyboard
siddhantranjan
E-BALL TECHNOLOGY is the present evolving technology in the field of the computer-enhanced technologies.
E-BALL TECHNOLOGY SEMINAR REPORT
E-BALL TECHNOLOGY SEMINAR REPORT
Vikas Kumar
it is single camera based security system no need to watch the footage of video . once any intrusion will we there it will inform to the owner.
seminar on invisible eye
seminar on invisible eye
Vashishth Narayan Kumar
Finger print based door access system
Finger print based door access system
Akshay Govekar
LCD based voting machine using 8051 microcontroller (
LCD based voting machine using 8051 microcontroller (
Sohel Siddique
Global wireless e voting
Global wireless e voting
vitam,berhampur
Recomendados
PLC EXAMPLES
Parking Control System using PLC
Parking Control System using PLC
ZunAib Ali
A ppt on Virtual Keyboard which increases human - computer interactions using laser technology and image processing
Virtual keyboard
Virtual keyboard
Teja Rachakonda
presentation on virtual keyboard
Virtual keyboard
Virtual keyboard
siddhantranjan
E-BALL TECHNOLOGY is the present evolving technology in the field of the computer-enhanced technologies.
E-BALL TECHNOLOGY SEMINAR REPORT
E-BALL TECHNOLOGY SEMINAR REPORT
Vikas Kumar
it is single camera based security system no need to watch the footage of video . once any intrusion will we there it will inform to the owner.
seminar on invisible eye
seminar on invisible eye
Vashishth Narayan Kumar
Finger print based door access system
Finger print based door access system
Akshay Govekar
LCD based voting machine using 8051 microcontroller (
LCD based voting machine using 8051 microcontroller (
Sohel Siddique
Global wireless e voting
Global wireless e voting
vitam,berhampur
Local Area Networks in Data Communication DC24
Local Area Networks in Data Communication DC24
koolkampus
Pcm (darbe kodu modulasyonu) ve pam (darbe genlik modulasyonu
Pcm (darbe kodu modulasyonu) ve pam (darbe genlik modulasyonu
Pcm (darbe kodu modulasyonu) ve pam (darbe genlik modulasyonu
enesdokuz
Sinyaller ve sistemlerin_matlab_yardimiyla_benzetimi
Sinyaller ve sistemlerin_matlab_yardimiyla_benzetimi
leodes
Lecture3 signal encoding_in_wireless
Lecture3 signal encoding_in_wireless
Yahya Alzidi
Bit Oriented Protocols in Data Communication DC23
Bit Oriented Protocols in Data Communication DC23
koolkampus
Software Engineering - Ch12
Software Engineering - Ch12
Siddharth Ayer
Flow Control in Data Communication DC21
Flow Control in Data Communication DC21
koolkampus
Signal with DC Component(Data Communication) DC7
Signal with DC Component(Data Communication) DC7
koolkampus
1432.encoding concepts
1432.encoding concepts
techbed
Radio Communication Band(Data Communication) DC14
Radio Communication Band(Data Communication) DC14
koolkampus
Data Link Control in Data Communication DC20
Data Link Control in Data Communication DC20
koolkampus
Snmp
Snmp
jignash
Software Engineering - Ch1
Software Engineering - Ch1
Siddharth Ayer
4 signal encodingtechniques
4 signal encodingtechniques
Hattori Sidek
Software Engineering - Ch11
Software Engineering - Ch11
Siddharth Ayer
Credits: Ankita Mathur, Prasenjit Gayen, Sanjoy Pandey
Simple Network Management Protocol
Simple Network Management Protocol
Prasenjit Gayen
PAM, PPM, PWM, DM, ADM, PCM, DPCM digital communication
pulse modulation
pulse modulation
Herin Gala
Principles of Software Engineering by Utpal Roy, Jadavpur University, Kolkata, India
05 architectural design
05 architectural design
University of Computer Science and Technology
Encoding in Data Communication DC8
Encoding in Data Communication DC8
koolkampus
Unit 3 3 architectural design
Unit 3 3 architectural design
Hiren Selani
Transmission of Digital Data(Data Communication) DC11
Transmission of Digital Data(Data Communication) DC11
koolkampus
Basic Concepts in Data Communication DC1
Basic Concepts in Data Communication DC1
koolkampus
Más contenido relacionado
Destacado
Local Area Networks in Data Communication DC24
Local Area Networks in Data Communication DC24
koolkampus
Pcm (darbe kodu modulasyonu) ve pam (darbe genlik modulasyonu
Pcm (darbe kodu modulasyonu) ve pam (darbe genlik modulasyonu
Pcm (darbe kodu modulasyonu) ve pam (darbe genlik modulasyonu
enesdokuz
Sinyaller ve sistemlerin_matlab_yardimiyla_benzetimi
Sinyaller ve sistemlerin_matlab_yardimiyla_benzetimi
leodes
Lecture3 signal encoding_in_wireless
Lecture3 signal encoding_in_wireless
Yahya Alzidi
Bit Oriented Protocols in Data Communication DC23
Bit Oriented Protocols in Data Communication DC23
koolkampus
Software Engineering - Ch12
Software Engineering - Ch12
Siddharth Ayer
Flow Control in Data Communication DC21
Flow Control in Data Communication DC21
koolkampus
Signal with DC Component(Data Communication) DC7
Signal with DC Component(Data Communication) DC7
koolkampus
1432.encoding concepts
1432.encoding concepts
techbed
Radio Communication Band(Data Communication) DC14
Radio Communication Band(Data Communication) DC14
koolkampus
Data Link Control in Data Communication DC20
Data Link Control in Data Communication DC20
koolkampus
Snmp
Snmp
jignash
Software Engineering - Ch1
Software Engineering - Ch1
Siddharth Ayer
4 signal encodingtechniques
4 signal encodingtechniques
Hattori Sidek
Software Engineering - Ch11
Software Engineering - Ch11
Siddharth Ayer
Credits: Ankita Mathur, Prasenjit Gayen, Sanjoy Pandey
Simple Network Management Protocol
Simple Network Management Protocol
Prasenjit Gayen
PAM, PPM, PWM, DM, ADM, PCM, DPCM digital communication
pulse modulation
pulse modulation
Herin Gala
Principles of Software Engineering by Utpal Roy, Jadavpur University, Kolkata, India
05 architectural design
05 architectural design
University of Computer Science and Technology
Encoding in Data Communication DC8
Encoding in Data Communication DC8
koolkampus
Unit 3 3 architectural design
Unit 3 3 architectural design
Hiren Selani
Destacado
(20)
Local Area Networks in Data Communication DC24
Local Area Networks in Data Communication DC24
Pcm (darbe kodu modulasyonu) ve pam (darbe genlik modulasyonu
Pcm (darbe kodu modulasyonu) ve pam (darbe genlik modulasyonu
Sinyaller ve sistemlerin_matlab_yardimiyla_benzetimi
Sinyaller ve sistemlerin_matlab_yardimiyla_benzetimi
Lecture3 signal encoding_in_wireless
Lecture3 signal encoding_in_wireless
Bit Oriented Protocols in Data Communication DC23
Bit Oriented Protocols in Data Communication DC23
Software Engineering - Ch12
Software Engineering - Ch12
Flow Control in Data Communication DC21
Flow Control in Data Communication DC21
Signal with DC Component(Data Communication) DC7
Signal with DC Component(Data Communication) DC7
1432.encoding concepts
1432.encoding concepts
Radio Communication Band(Data Communication) DC14
Radio Communication Band(Data Communication) DC14
Data Link Control in Data Communication DC20
Data Link Control in Data Communication DC20
Snmp
Snmp
Software Engineering - Ch1
Software Engineering - Ch1
4 signal encodingtechniques
4 signal encodingtechniques
Software Engineering - Ch11
Software Engineering - Ch11
Simple Network Management Protocol
Simple Network Management Protocol
pulse modulation
pulse modulation
05 architectural design
05 architectural design
Encoding in Data Communication DC8
Encoding in Data Communication DC8
Unit 3 3 architectural design
Unit 3 3 architectural design
Similar a Analog to Digital Encoding in Data Communication DC9
Transmission of Digital Data(Data Communication) DC11
Transmission of Digital Data(Data Communication) DC11
koolkampus
Basic Concepts in Data Communication DC1
Basic Concepts in Data Communication DC1
koolkampus
project
pawach project.pptx
pawach project.pptx
PawachMetharattanara
Pawach project
Pawach project reference.pptx
Pawach project reference.pptx
PawachMetharattanara
project
Pawach project reference.pptx
Pawach project reference.pptx
PawachMetharattanara
pawach project uv
Pawach project reference1120.pptx
Pawach project reference1120.pptx
PawachMetharattanara
Part of my Master's Thesis at IIT Delhi.
Design of a High Speed, Rail-to-Rail input CMOS comparator
Design of a High Speed, Rail-to-Rail input CMOS comparator
Pushpak Dagade
https://www.irjet.net/archives/V9/i5/IRJET-V9I5682.pdf
AUTOMATIC DETECTION OF OVERSPEED VEHICLE
AUTOMATIC DETECTION OF OVERSPEED VEHICLE
IRJET Journal
Power Over Fiber_PCBProject
Power Over Fiber_PCBProject
Inbar Kinarty
Adjustable speed drive system using a raspberry pi processor for induction motor
Automated Speed Drive using raspberry pi
Automated Speed Drive using raspberry pi
VISHNUG39
With inspiration to develop an own 3-D printing machine, we aimed at developing one by own. As the first step, we thought of working on 2-D drawing machine although using 3 axis of movement, so that it can be further extended towards a fully working rapid prototyping machine. The working model we develop comprises of 3 Stepper motors controlled by a motor driver IC, that gets its signal from Arduino Uno. At end of project, our model is been able to draw any 2-D image that can be uploaded directly in a desktop, which gives the appropriate command signals through an algorithm to Arduino itself.
A computer numeric control machine
A computer numeric control machine
Parth Patel
09_KHIN AYE MU.docx - Abstract
09_KHIN AYE MU.docx - Abstract
butest
09_KHIN AYE MU.docx - Abstract
09_KHIN AYE MU.docx - Abstract
butest
https://irjet.net/archives/V3/i2/IRJET-V3I2194.pdf
Automatic mini CNC machine for PCB drawing and drilling
Automatic mini CNC machine for PCB drawing and drilling
IRJET Journal
Amplifier - integrator for electronic laboratory (by RadioAstroLab).
Radio Astronomy and electronics
Radio Astronomy and electronics
Flavio Falcinelli
Slides - Day 10
Slides - Day 10.pdf
Slides - Day 10.pdf
ThakshilaMadushani4
Power Electronics with Embedded System using PIC 18F4520 microcontroller
Power Electronics with Embedded System
Power Electronics with Embedded System
Prashanta Chowdhury
about networking
about networking easy to understand
about networking easy to understand
Surya kumar it
electronica aplicata antene radioamatori
25-Simple-Indoor-And-Window-Aerials.pdf
25-Simple-Indoor-And-Window-Aerials.pdf
ivan ion
help field engineer to install Compact node according to ericsson standard
Procedure install cn510 step by step
Procedure install cn510 step by step
Ahmed Hussien Ali Gomaa Bebars
Similar a Analog to Digital Encoding in Data Communication DC9
(20)
Transmission of Digital Data(Data Communication) DC11
Transmission of Digital Data(Data Communication) DC11
Basic Concepts in Data Communication DC1
Basic Concepts in Data Communication DC1
pawach project.pptx
pawach project.pptx
Pawach project reference.pptx
Pawach project reference.pptx
Pawach project reference.pptx
Pawach project reference.pptx
Pawach project reference1120.pptx
Pawach project reference1120.pptx
Design of a High Speed, Rail-to-Rail input CMOS comparator
Design of a High Speed, Rail-to-Rail input CMOS comparator
AUTOMATIC DETECTION OF OVERSPEED VEHICLE
AUTOMATIC DETECTION OF OVERSPEED VEHICLE
Power Over Fiber_PCBProject
Power Over Fiber_PCBProject
Automated Speed Drive using raspberry pi
Automated Speed Drive using raspberry pi
A computer numeric control machine
A computer numeric control machine
09_KHIN AYE MU.docx - Abstract
09_KHIN AYE MU.docx - Abstract
09_KHIN AYE MU.docx - Abstract
09_KHIN AYE MU.docx - Abstract
Automatic mini CNC machine for PCB drawing and drilling
Automatic mini CNC machine for PCB drawing and drilling
Radio Astronomy and electronics
Radio Astronomy and electronics
Slides - Day 10.pdf
Slides - Day 10.pdf
Power Electronics with Embedded System
Power Electronics with Embedded System
about networking easy to understand
about networking easy to understand
25-Simple-Indoor-And-Window-Aerials.pdf
25-Simple-Indoor-And-Window-Aerials.pdf
Procedure install cn510 step by step
Procedure install cn510 step by step
Más de koolkampus
Error Detection and Correction in Data Communication DC18
Error Detection and Correction in Data Communication DC18
koolkampus
TDM in Data Communication DC16
TDM in Data Communication DC16
koolkampus
Connectors in Data Communication DC12
Connectors in Data Communication DC12
koolkampus
Layer Examples in Data Communication CD4
Layer Examples in Data Communication CD4
koolkampus
OSI Model (Data Communication) DC3
OSI Model (Data Communication) DC3
koolkampus
Token Passing in Data Communication DC25
Token Passing in Data Communication DC25
koolkampus
Data Link Protocols in Data Communication DC22
Data Link Protocols in Data Communication DC22
koolkampus
CRC in Data Communication DC19
CRC in Data Communication DC19
koolkampus
Telephone Networn in Data Communication DC17
Telephone Networn in Data Communication DC17
koolkampus
Multiplexing in Data Communication DC15
Multiplexing in Data Communication DC15
koolkampus
Transmission Media in Data Communication DC13
Transmission Media in Data Communication DC13
koolkampus
Analog to Analog Modulation in Data Communication DC10
Analog to Analog Modulation in Data Communication DC10
koolkampus
Signal Phases in Data Communication DC6
Signal Phases in Data Communication DC6
koolkampus
Transmission Modes in Data Communication DC2
Transmission Modes in Data Communication DC2
koolkampus
Firewals in Network Security NS10
Firewals in Network Security NS10
koolkampus
Intruders and Viruses in Network Security NS9
Intruders and Viruses in Network Security NS9
koolkampus
Web Security in Network Security NS7
Web Security in Network Security NS7
koolkampus
IP Security in Network Security NS6
IP Security in Network Security NS6
koolkampus
Authentication Application in Network Security NS4
Authentication Application in Network Security NS4
koolkampus
Intoduction to Network Security NS1
Intoduction to Network Security NS1
koolkampus
Más de koolkampus
(20)
Error Detection and Correction in Data Communication DC18
Error Detection and Correction in Data Communication DC18
TDM in Data Communication DC16
TDM in Data Communication DC16
Connectors in Data Communication DC12
Connectors in Data Communication DC12
Layer Examples in Data Communication CD4
Layer Examples in Data Communication CD4
OSI Model (Data Communication) DC3
OSI Model (Data Communication) DC3
Token Passing in Data Communication DC25
Token Passing in Data Communication DC25
Data Link Protocols in Data Communication DC22
Data Link Protocols in Data Communication DC22
CRC in Data Communication DC19
CRC in Data Communication DC19
Telephone Networn in Data Communication DC17
Telephone Networn in Data Communication DC17
Multiplexing in Data Communication DC15
Multiplexing in Data Communication DC15
Transmission Media in Data Communication DC13
Transmission Media in Data Communication DC13
Analog to Analog Modulation in Data Communication DC10
Analog to Analog Modulation in Data Communication DC10
Signal Phases in Data Communication DC6
Signal Phases in Data Communication DC6
Transmission Modes in Data Communication DC2
Transmission Modes in Data Communication DC2
Firewals in Network Security NS10
Firewals in Network Security NS10
Intruders and Viruses in Network Security NS9
Intruders and Viruses in Network Security NS9
Web Security in Network Security NS7
Web Security in Network Security NS7
IP Security in Network Security NS6
IP Security in Network Security NS6
Authentication Application in Network Security NS4
Authentication Application in Network Security NS4
Intoduction to Network Security NS1
Intoduction to Network Security NS1
Último
Brief Introduction to Generative AI and LLM in particular. Overview of the market, and usages of LLMs. What's it like to train and build a model. Retrieval Augmented Generation 101, explained for non savvies, and a perspective of what are the moving parts making it complex
AI presentation and introduction - Retrieval Augmented Generation RAG 101
AI presentation and introduction - Retrieval Augmented Generation RAG 101
vincent683379
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring. Learn about: • The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks. • Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective. • Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification. • Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process. Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Inflectra
PLAI is the Italian Accelerator igniting the growth of innovative Startups and nurturing a community of talents in the Generative AI field.
PLAI - Acceleration Program for Generative A.I. Startups
PLAI - Acceleration Program for Generative A.I. Startups
Stefano
Keynote at the 21st European Semantic Web Conference
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
Elena Simperl
Reflecting on new architectures for knowledge based systems in light of generative ai
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
Paul Groth
This talk focuses on the practical aspects of integrating various telephony systems with Salesforce, drawing on examples from implementations in the Czech scene. It aims to inform attendees about the spectrum of telephony solutions available, from small to large scale, and their compatibility with Salesforce. The presentation will highlight key considerations for selecting a telephony provider that integrates smoothly with Salesforce, including important questions to support the decision-making process. It will also discuss methods for integrating existing telephony systems with Salesforce, aimed at companies contemplating or in the process of adopting this CRM platform. The discussion is designed to provide a straightforward overview of the steps and considerations involved in telephony and Salesforce integration, with an emphasis on functionality, compatibility, and the practical experiences of Czech companies.
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
CzechDreamin
You’ve heard good data matters in Machine Learning, but does it matter for Generative AI applications? Corporate data often differs significantly from the general Internet data used to train most foundation models. Join me for a demo on building an open source RAG (Retrieval Augmented Generation) stack using Milvus vector database for Retrieval, LangChain, Llama 3 with Ollama, Ragas RAG Eval, and optional Zilliz cloud, OpenAI.
Introduction to Open Source RAG and RAG Evaluation
Introduction to Open Source RAG and RAG Evaluation
Zilliz
ScyllaDB has the potential to deliver impressive performance and scalability. The better you understand how it works, the more you can squeeze out of it. But before you squeeze, make sure you know what to monitor! Watch our experienced Postgres developer work through monitoring and performance strategies that help him understand what mistakes he’s made moving to NoSQL. And learn with him as our database performance expert offers friendly guidance on how to use monitoring and performance tuning to get his sample Rust application on the right track. This webinar focuses on using monitoring and performance tuning to discover and correct mistakes that commonly occur when developers move from SQL to NoSQL. For example: - Common issues getting up and running with the monitoring stack - Using the CQL optimizations dashboard - Common issues causing high latency in a node - Common issues causing replica imbalance - What a healthy system looks like in terms of memory - Key metrics to keep an eye on This isn’t “Death-by-Powerpoint.” We’ll walk through problems encountered while migrating a real application from Postgres to ScyllaDB – and try to fix them live as well.
Optimizing NoSQL Performance Through Observability
Optimizing NoSQL Performance Through Observability
ScyllaDB
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other? Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Tobias Schneck
In this session, we will showcase how to revolutionize automated testing for your software, automation, and QA teams with UiPath Test Suite. In part 1 of UiPath test automation using UiPath Test Suite – developer series, we will cover, Software testing overview What is software testing Why software testing is required Typical test types and levels Continuous testing and challenges Introduction to UiPath Test Suite UiPath Test Suite family of products Speaker: Atul Trikha, Chief Technologist & Solutions Architect, Peraton and UiPath MVP Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 1
UiPath Test Automation using UiPath Test Suite series, part 1
DianaGray10
The presentation underscores the strategic advantage of treating design systems not just as technical assets but as vital business components that require thoughtful management, robust planning, and strategic alignment with organizational goals. Key Points Covered: - Understanding Design Systems as Business Entities: Conceptualizing design systems as internal business entities can streamline their integration and evolution within a company. - Adoption and Expansion: Elaborating on the importance of tactical adoption across organizational structures, enhancing product suites to cater to user needs and broadening scope to mobile and content authoring solutions. - Data-Driven Development: Utilizing data insights for component development ensures that resources are allocated to create valuable, widely used features. - Financial Modeling for Design Systems: Developing sustainable funding models is crucial for long-term support and success of design systems. - Promoting Internal Buy-In: Stressing on strategies for promoting design systems within the organization to increase engagement and investment from internal stakeholders.
A Business-Centric Approach to Design System Strategy
A Business-Centric Approach to Design System Strategy
UXDXConf
Ever caught yourself nodding along when someone mentions "delivering value" in Agile, but secretly wondering what the heck they actually mean? You're not alone! Join us for an eye-opening session where we'll strip away the buzzwords and dive into the heart of Agile—value delivery. But what is "value"? Is it a mythical unicorn in the world of software development, or is there more to this overused term? This isn't going to be a sit-and-get lecture. We're talking about a face-to-face, interactive meetup where YOU play a crucial role. Come along to: Define It: What does "value" really mean? We’ll build a definition that’s not just words, but a compass for your Agile journey. Contextualise It: Discover what value means specifically to you, your team, your company, and your industry. Because one size does not fit all. Deliver It: Share strategies and gather new ones for uncovering and delivering true value—no more shooting in the dark!
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
David Michel
Unlock the mysteries of successful Salesforce interviews in this insightful session hosted by Hugo Rosario (Salesforce Customer), a seasoned hiring manager that leads the Salesforce Department of multinational company with over 100 interviews under their belt. Step into the manager's chair and gain exclusive behind-the-scenes insights into what makes a Salesforce consultant stand out during the interview process. From deciphering the unspoken cues to mastering key strategies, we'll explore the intricacies of the interview process and provide practical tips for consultants looking to not only pass interviews but also thrive in their roles. Whether you're a seasoned professional or just starting your Salesforce journey, this session is your backstage pass to the secrets that hiring managers wish you knew.
Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...
Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...
CzechDreamin
This presentation discusses the complexities of aligning teams and ensuring consistent product experiences across various platforms, proposing Server Driven UI (SDUI) as a solution. Key Points Covered: - The challenge of maintaining consistency in product experiences across web and app interfaces, highlighted by discrepancies in user experience features like comment sections. - Introduction of Server Driven UI (SDUI) to manage uniformity and streamline updates across different platforms. - The importance of adapting design systems to accommodate SDUI, ensuring uniform naming conventions, and component functionalities. - Technical discussions on overcoming framework differences and the operational load on developers due to continuous OS updates.
Server-Driven User Interface (SDUI) at Priceline
Server-Driven User Interface (SDUI) at Priceline
UXDXConf
Generative AI architecture, at its core, revolves around the concept of machines being able to generate content autonomously, mimicking human-like creativity and decision-making processes. Unlike traditional AI systems that rely on predefined rules and data inputs, generative AI leverages deep learning techniques to produce new, original outputs based on patterns and examples it has learned from vast datasets. This capability opens up a multitude of possibilities across various domains within an enterprise.
The architecture of Generative AI for enterprises.pdf
The architecture of Generative AI for enterprises.pdf
alexjohnson7307
How to differentiate Sales Cloud and CPQ on first glance might be tricky if you do not know where to look and what to look at. You will know :-) Managing the sales process within Salesforce is a common use case that can be managed with standart Sales Cloud. If you want to do entire quoting process you will find out Salesforce CPQ solution exists. What is then the difference if both can handle selling products? You will see comparison of 10 different features, which Sales Cloud and Salesforce CPQ handle differently. Simple question you will always remember if you should consider using Salesforce CPQ will be a cherry on top.
10 Differences between Sales Cloud and CPQ, Blanka Doktorová
10 Differences between Sales Cloud and CPQ, Blanka Doktorová
CzechDreamin
In today's presentation, we'll explore Security Onion, a powerful open-source platform designed to fortify your network security. Security Onion, much like its namesake vegetable, peels back the layers of your network traffic, enabling you to identify and address potential threats. We'll delve into its functionalities, core components, and the advantages it brings to your cybersecurity posture.
Enterprise Security Monitoring, And Log Management.
Enterprise Security Monitoring, And Log Management.
Boni Yeamin
This is the official company presentation of IoT Analytics GmbH, a leading global provider of market insights and strategic business intelligence for the IoT, AI, Cloud, Edge, and Industry 4.0. We are trusted by 1000+ leading companies around the world for our market insights, including globally leading software, telecommunications, consulting, semiconductor, and industrial players.
IoT Analytics Company Presentation May 2024
IoT Analytics Company Presentation May 2024
IoTAnalytics
This talk offers actionable insights at an executive level for enhancing productivity and refining your portfolio management approach to propel your organization to greater heights. Key Points Covered: 1. Experience Transformation: - The core challenge remains consistent across organizations: converting budget into user-centric designs. - Strategies for deploying design resources effectively in both startups and large enterprises. 2. Strategic Frameworks: - Introduction to the "Ziggurat of Impact" model, detailing layers from basic system interactions to comprehensive customer experiences. - Practical insights on creating frameworks that scale with organizational complexity. 3. Organizational Impact: - Real-world examples of navigating design in large settings, focusing on the synthesis of consumer products and customer experiences. - Emphasis on the importance of designing systems that directly influence customer interactions. 4. Design Execution: - Detailed walkthrough of organizational layers affecting design execution, from touchpoints and customer activities to shared capabilities. - How to ensure design influences both the micro and macro aspects of customer interactions. 5. Measurement and Adaptation: - Techniques for measuring the impact of design decisions and adapting strategies based on data-driven insights. - The critical role of continuous improvement and feedback in refining customer experiences.
Structuring Teams and Portfolios for Success
Structuring Teams and Portfolios for Success
UXDXConf
A recap of interesting points and quotes from the May 2024 WSO2CON opensource application development conference. Focuses primarily on keynotes and panel sessions.
WSO2CONMay2024OpenSourceConferenceDebrief.pptx
WSO2CONMay2024OpenSourceConferenceDebrief.pptx
Jennifer Lim
Último
(20)
AI presentation and introduction - Retrieval Augmented Generation RAG 101
AI presentation and introduction - Retrieval Augmented Generation RAG 101
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
PLAI - Acceleration Program for Generative A.I. Startups
PLAI - Acceleration Program for Generative A.I. Startups
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
Introduction to Open Source RAG and RAG Evaluation
Introduction to Open Source RAG and RAG Evaluation
Optimizing NoSQL Performance Through Observability
Optimizing NoSQL Performance Through Observability
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
UiPath Test Automation using UiPath Test Suite series, part 1
UiPath Test Automation using UiPath Test Suite series, part 1
A Business-Centric Approach to Design System Strategy
A Business-Centric Approach to Design System Strategy
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...
Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...
Server-Driven User Interface (SDUI) at Priceline
Server-Driven User Interface (SDUI) at Priceline
The architecture of Generative AI for enterprises.pdf
The architecture of Generative AI for enterprises.pdf
10 Differences between Sales Cloud and CPQ, Blanka Doktorová
10 Differences between Sales Cloud and CPQ, Blanka Doktorová
Enterprise Security Monitoring, And Log Management.
Enterprise Security Monitoring, And Log Management.
IoT Analytics Company Presentation May 2024
IoT Analytics Company Presentation May 2024
Structuring Teams and Portfolios for Success
Structuring Teams and Portfolios for Success
WSO2CONMay2024OpenSourceConferenceDebrief.pptx
WSO2CONMay2024OpenSourceConferenceDebrief.pptx
Analog to Digital Encoding in Data Communication DC9
1.
Figure 5-15 My
notes for datacom :: @nkur Analog to Digital Encoding
2.
Figure 5-16 My
notes for datacom :: @nkur PAM
3.
Figure 5-17 My
notes for datacom :: @nkur Quantized PAM Signal
4.
Figure 5-18 My
notes for datacom :: @nkur Quantizing Using Sign and Magnitude
5.
Figure 5-19 My
notes for datacom :: @nkur PCM
6.
Figure 5-20 My
notes for datacom :: @nkur From Analog to PCM
7.
Figure 5-20-continued My
notes for datacom :: @nkur From Analog to PCM
8.
Figure 5-20-continued My
notes for datacom :: @nkur From Analog to PCM
9.
Figure 5-20-continued My
notes for datacom :: @nkur From Analog to PCM
10.
Figure 5-21 My
notes for datacom :: @nkur Nyquist Theorem
11.
Figure 5-22 My
notes for datacom :: @nkur Digital to Analog Encoding
12.
Figure 5-23 My
notes for datacom :: @nkur
13.
Figure 5-24 My
notes for datacom :: @nkur ASK
14.
Figure 5-25 My
notes for datacom :: @nkur Bandwidth for ASK
15.
FSK Figure 5-27
My notes for datacom :: @nkur
16.
Bandwidth for FSK
Figure 5-28 My notes for datacom :: @nkur
17.
PSK Figure 5-29
My notes for datacom :: @nkur
18.
PSK Constellation Figure
5-30 My notes for datacom :: @nkur
19.
4-PSK Figure 5-31
My notes for datacom :: @nkur
20.
4-PSK Characteristics Figure
5-32 My notes for datacom :: @nkur
21.
8-PSK Characteristics Figure
5-33 My notes for datacom :: @nkur
22.
PSK Bandwidth Figure
5-34 My notes for datacom :: @nkur
23.
4-QAM and 8-QAM
Constellations Figure 5-35 My notes for datacom :: @nkur
24.
8-QAM Signal Figure
5-36 My notes for datacom :: @nkur
25.
16-QAM Constellation Figure
5-37 My notes for datacom :: @nkur
26.
Bit Rate and
Baud Rate Figure 5-38 My notes for datacom :: @nkur
27.
Figure 5-38-continued My
notes for datacom :: @nkur Bit Rate and Baud Rate
Descargar ahora