My slides of the WeB 2008 workshop on e-Business in Paris. The framework that I describe in the presentation assists decision makers to understand the value proposition of Cloud Computing technology.
The document provides an overview of Amazon Web Services (AWS), including what cloud computing is, the benefits of AWS compared to traditional IT models, and the various services offered through AWS. Some key points:
- AWS provides on-demand access to computing resources and services on a pay-as-you-go model, allowing customers flexibility and ability to scale up or down based on needs.
- Benefits of AWS include flexibility to use familiar tools, pay only for what you use without long-term commitments, and ability to quickly scale resources up or down to meet demand.
- AWS offers a range of cloud-based services including compute, storage, databases, analytics, applications, and deployment/management tools.
Group 9 consists of Ankur, Chetan, Shashank, Srivathsan, and Shriram. IT projects face challenges such as hardware failures, vendor delays, personnel issues, capacity issues, scaling issues, utilization management, data center outages, and bandwidth issues that take up 30% of time, while cloud-based infrastructure takes up 70% of time. The document then discusses Amazon Web Services and provides an overview of AWS services like EC2, S3, SQS, and tools for compute, storage, databases, messaging, and other capabilities.
1. Cloud computing refers to software and data services provided over the internet, as well as the hardware and systems that power them.
2. Large-scale data centers enable cloud computing by reducing costs through economies of scale and statistical multiplexing of resources.
3. Different cloud platforms offer varying levels of control over software stacks and automation of scaling and failover, with tradeoffs between flexibility and managed services.
This document discusses two models for integrating cloud computing and telecom:
1) Creating a cloud using telecom equipment by pooling resources and virtualizing servers. This reduces costs but maintenance is complicated.
2) Using optimized cloud solutions with high-capacity telecom equipment from a single vendor. This provides high connectivity, security, and support but the operator relies on one vendor.
It also proposes running Asterisk IPPBX on the cloud, which offers a cost-effective way for businesses to gain voice and data convergence benefits while scaling easily. Running call centers and quality assurance testing for open source apps are also good cloud uses. Integration challenges include security, data laws across jurisdictions, and downtime impacts.
This document provides an overview of Amazon Web Services (AWS) and its cloud computing infrastructure and services. It describes AWS's global footprint including regions and availability zones. It then discusses various AWS computing, storage, database, deployment/administration and application services like EC2, S3, RDS, IAM, Elastic Beanstalk and more. The document concludes with a proposed example application architecture using several AWS services.
AWS provides a comprehensive set of global cloud computing services including compute, storage, databases, analytics, networking, mobile, developer tools, management tools, IoT, security and enterprise applications. Some key services highlighted include EC2 for virtual servers, S3 for object storage, RDS for managed relational databases, DynamoDB for NoSQL database services, EBS for block storage volumes, VPC for virtual networking, IAM for access management, CloudFront for content delivery and Route 53 for DNS services. AWS operates across multiple geographic regions and availability zones for reliability and high availability.
This is presentation on AWS that is Amazon Web Services, based on material available on internet and white papers of Amazon Web services. I have included almost all the major services offered by AWS, presently i am working to include more content like benefits , use cases and links to various videos available on youtube. I have used all the authorized symbols for each service, In case of doubt please feel free to contact me on my email randhawa79@gmail.com
The document discusses Internet of Things (IoT) on the Azure cloud platform. It introduces IoT and key Azure IoT components like IoT Hub, Digital Twins, and Time Series Insights. It also provides an analogy that Azure computing services are like utility power, where you only pay for what you use while maintenance is handled by others. The document aims to provide an overview of IoT on Azure and its core components.
Amazon Web Services (AWS) began in 2006 offering cloud computing infrastructure services. AWS now offers over 140 global cloud services across compute, storage, databases, analytics, networking, mobile, tools, IoT, security, and enterprise applications. Major AWS services include Amazon EC2 for virtual servers, S3 for storage, RDS for databases, DynamoDB for NoSQL, ElastiCache for caching, Redshift for data warehousing, VPC for virtual networking, Route 53 for DNS, and EBS for block storage. Customers can use these on-demand services to access resources and applications over the internet and pay only for what they use.
Welcome to International Journal of Engineering Research and Development (IJERD)IJERD Editor
油
call for paper 2012, hard copy of journal, research paper publishing, where to publish research paper,
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals
Cloud computing refers to using internet-based computing resources that are dynamically scalable and often virtualized. Amazon Web Services (AWS) provides cloud computing services including compute power (EC2), storage (S3), content delivery (CloudFront), databases (SimpleDB), messaging (SQS), and other tools. GigaVox implemented S3, EC2 and SQS in 2006, creating a scalable infrastructure for less than $100 that would have cost thousands to build themselves.
AWS is Amazon's cloud computing platform that offers scalable and cost-effective cloud-based services including computing, storage, databases, analytics, machine learning, and application services. Some of the key services are EC2 for virtual servers, S3 for object storage, RDS for SQL databases, DynamoDB for NoSQL databases, Lambda for code execution, and Elastic Beanstalk for deployment and management of applications.
Cloud computing allows companies to outsource their infrastructure needs to large cloud providers like Amazon Web Services (AWS). This reduces costs and provides scalability. AWS offers services like S3 for storage, EC2 for virtual servers, SQS for messaging, and SimpleDB for databases. Companies pay for only the resources they use, allowing them to scale up or down as needed. However, companies must ensure their applications and data are secure when using cloud services.
The document discusses several technology topics including:
1. SOA and its benefits such as facilitating interoperability and promoting technology reuse.
2. Cloud computing and common questions around it such as what cloud computing is, how many clouds there will be, and what's new in cloud computing.
3. An example scenario of a company called FredsList gradually adopting more cloud capabilities for their listings website, from basic storage to search, photos, analytics and performance optimization.
This document provides an overview of cloud computing and Microsoft's Azure cloud platform. It discusses the benefits of cloud computing such as productivity, accessibility, elasticity and economics. It then introduces Azure services including compute, storage, SQL and .NET. Alternative platforms like Amazon Web Services, Google App Engine and Salesforce.com are also summarized. The document discusses case studies of companies that partnered with Ethos to migrate solutions to Azure. It concludes with an overview of XLR8, a social collaboration product developed by Ethos that leverages Azure and Dynamics.
Cloud computing is a general term for network-based computing that takes place over the Internet. It provides on-demand access to shared pools of configurable computing resources like networks, servers, storage, applications, and services. Key characteristics include broad network access, rapid elasticity, and usage-based pricing. Common cloud computing models are Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Major cloud providers include Amazon Web Services, Microsoft Azure, and Google Cloud Platform.
The document discusses the history and evolution of cloud computing. It describes how cloud computing started with mainframes in the 1950s and evolved with virtualization technologies and the growth of the internet. Major milestones included Salesforce.com launching cloud-based applications in 1999, Amazon Web Services launching storage and computing services in 2002, and Google offering browser-based apps in 2009. The document then covers definitions of cloud computing, service and deployment models including IaaS, PaaS and SaaS, and provides an overview of Amazon Web Services including computing, storage, database and other services.
This document provides an introduction and overview of cloud computing. It defines cloud computing as applications and services delivered over the internet, as well as the hardware and systems that provide those services. The document discusses common cloud services like SaaS, utility computing using Amazon EC2 as an example, and the key characteristics of cloud computing. It also covers challenges of cloud computing like availability, data security, and performance unpredictability, as well as the growth and future potential of cloud computing.
Cloud computing allows users to access computing resources and applications over the Internet. It provides scalability, lower costs, and more efficient utilization of resources compared to local computing. There are different types of cloud services including Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS). Cloud computing delivers significant business benefits like reduced costs, more agile resource usage, and robust scalability.
Refactoring Web Services on AWS cloud (PaaS & SaaS)IRJET Journal
油
This document discusses refactoring web services to run on AWS cloud platforms including PaaS and SaaS. The key points are:
1. Refactoring the services involves migrating them to managed AWS services like Elastic Beanstalk, RDS, ElastiCache, and Route 53 to reduce operational overhead and improve scalability, availability, and reliability compared to owning physical infrastructure.
2. The proposed refactored architecture involves using Elastic Beanstalk for the application tier, RDS for the database, ElastiCache for caching, and Route 53 for DNS. This allows the services to be deployed and managed with less effort through AWS managed offerings.
3. Migrating to
The document discusses using ambients and service-oriented architecture (SOA) approaches to address challenges in cloud computing architectures. It proposes an Ambient-SOA modeling language that allows developers to design ambient-aware models and generate executable code. This approach represents different cloud resource types as ambients and allows applications to be dynamically reconfigured across cloud boundaries when resource demands change.
The document provides an overview of cloud computing concepts and benefits, and discusses best practices for developing a cloud strategy and roadmap. It outlines key steps such as analyzing workloads to determine cloud suitability, assessing infrastructure readiness, and developing a phased approach. Lessons learned emphasize the importance of standardization, starting small, transparency of costs, and network readiness for enabling cloud services.
IRJET- Cloud Cost Analyzer and OptimizerIRJET Journal
油
This document proposes a system to monitor virtual machines (VMs or EC2 instances) on private clouds like Amazon or Google and provide solutions to reduce infrastructure costs from the customer's perspective. The system would monitor EC2 VM usage, performance metrics, and the customer's current cloud cost plan. It aims to optimize resource usage and save costs by proposing reductions to resources or cost plans. The system is designed to build a test bed using an Amazon account to connect to a user's resources and fetch performance data like RAM, CPU usage. It would then calculate pricing for storage, CPU usage, requests and other metrics to estimate overall setup costs and find opportunities for cost optimization.
Cloud Computing Revolution The Third It Industry RevolutionLiming Liu
油
Introduction to Cloud computing
Why does cloud computing revolution come now
How Cloud computing change IT industry
How Cloud computing change the world
Material
IDC Tech Spotlight: From Silicon To CloudJames Price
油
The topic of cloud computing has received a tremendous amount of attention in the last year. This whitepaper discusses some of the aspects of the delivery of IT Infrastructure as a service.
This is presentation on AWS that is Amazon Web Services, based on material available on internet and white papers of Amazon Web services. I have included almost all the major services offered by AWS, presently i am working to include more content like benefits , use cases and links to various videos available on youtube. I have used all the authorized symbols for each service, In case of doubt please feel free to contact me on my email randhawa79@gmail.com
The document discusses Internet of Things (IoT) on the Azure cloud platform. It introduces IoT and key Azure IoT components like IoT Hub, Digital Twins, and Time Series Insights. It also provides an analogy that Azure computing services are like utility power, where you only pay for what you use while maintenance is handled by others. The document aims to provide an overview of IoT on Azure and its core components.
Amazon Web Services (AWS) began in 2006 offering cloud computing infrastructure services. AWS now offers over 140 global cloud services across compute, storage, databases, analytics, networking, mobile, tools, IoT, security, and enterprise applications. Major AWS services include Amazon EC2 for virtual servers, S3 for storage, RDS for databases, DynamoDB for NoSQL, ElastiCache for caching, Redshift for data warehousing, VPC for virtual networking, Route 53 for DNS, and EBS for block storage. Customers can use these on-demand services to access resources and applications over the internet and pay only for what they use.
Welcome to International Journal of Engineering Research and Development (IJERD)IJERD Editor
油
call for paper 2012, hard copy of journal, research paper publishing, where to publish research paper,
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals
Cloud computing refers to using internet-based computing resources that are dynamically scalable and often virtualized. Amazon Web Services (AWS) provides cloud computing services including compute power (EC2), storage (S3), content delivery (CloudFront), databases (SimpleDB), messaging (SQS), and other tools. GigaVox implemented S3, EC2 and SQS in 2006, creating a scalable infrastructure for less than $100 that would have cost thousands to build themselves.
AWS is Amazon's cloud computing platform that offers scalable and cost-effective cloud-based services including computing, storage, databases, analytics, machine learning, and application services. Some of the key services are EC2 for virtual servers, S3 for object storage, RDS for SQL databases, DynamoDB for NoSQL databases, Lambda for code execution, and Elastic Beanstalk for deployment and management of applications.
Cloud computing allows companies to outsource their infrastructure needs to large cloud providers like Amazon Web Services (AWS). This reduces costs and provides scalability. AWS offers services like S3 for storage, EC2 for virtual servers, SQS for messaging, and SimpleDB for databases. Companies pay for only the resources they use, allowing them to scale up or down as needed. However, companies must ensure their applications and data are secure when using cloud services.
The document discusses several technology topics including:
1. SOA and its benefits such as facilitating interoperability and promoting technology reuse.
2. Cloud computing and common questions around it such as what cloud computing is, how many clouds there will be, and what's new in cloud computing.
3. An example scenario of a company called FredsList gradually adopting more cloud capabilities for their listings website, from basic storage to search, photos, analytics and performance optimization.
This document provides an overview of cloud computing and Microsoft's Azure cloud platform. It discusses the benefits of cloud computing such as productivity, accessibility, elasticity and economics. It then introduces Azure services including compute, storage, SQL and .NET. Alternative platforms like Amazon Web Services, Google App Engine and Salesforce.com are also summarized. The document discusses case studies of companies that partnered with Ethos to migrate solutions to Azure. It concludes with an overview of XLR8, a social collaboration product developed by Ethos that leverages Azure and Dynamics.
Cloud computing is a general term for network-based computing that takes place over the Internet. It provides on-demand access to shared pools of configurable computing resources like networks, servers, storage, applications, and services. Key characteristics include broad network access, rapid elasticity, and usage-based pricing. Common cloud computing models are Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Major cloud providers include Amazon Web Services, Microsoft Azure, and Google Cloud Platform.
The document discusses the history and evolution of cloud computing. It describes how cloud computing started with mainframes in the 1950s and evolved with virtualization technologies and the growth of the internet. Major milestones included Salesforce.com launching cloud-based applications in 1999, Amazon Web Services launching storage and computing services in 2002, and Google offering browser-based apps in 2009. The document then covers definitions of cloud computing, service and deployment models including IaaS, PaaS and SaaS, and provides an overview of Amazon Web Services including computing, storage, database and other services.
This document provides an introduction and overview of cloud computing. It defines cloud computing as applications and services delivered over the internet, as well as the hardware and systems that provide those services. The document discusses common cloud services like SaaS, utility computing using Amazon EC2 as an example, and the key characteristics of cloud computing. It also covers challenges of cloud computing like availability, data security, and performance unpredictability, as well as the growth and future potential of cloud computing.
Cloud computing allows users to access computing resources and applications over the Internet. It provides scalability, lower costs, and more efficient utilization of resources compared to local computing. There are different types of cloud services including Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS). Cloud computing delivers significant business benefits like reduced costs, more agile resource usage, and robust scalability.
Refactoring Web Services on AWS cloud (PaaS & SaaS)IRJET Journal
油
This document discusses refactoring web services to run on AWS cloud platforms including PaaS and SaaS. The key points are:
1. Refactoring the services involves migrating them to managed AWS services like Elastic Beanstalk, RDS, ElastiCache, and Route 53 to reduce operational overhead and improve scalability, availability, and reliability compared to owning physical infrastructure.
2. The proposed refactored architecture involves using Elastic Beanstalk for the application tier, RDS for the database, ElastiCache for caching, and Route 53 for DNS. This allows the services to be deployed and managed with less effort through AWS managed offerings.
3. Migrating to
The document discusses using ambients and service-oriented architecture (SOA) approaches to address challenges in cloud computing architectures. It proposes an Ambient-SOA modeling language that allows developers to design ambient-aware models and generate executable code. This approach represents different cloud resource types as ambients and allows applications to be dynamically reconfigured across cloud boundaries when resource demands change.
The document provides an overview of cloud computing concepts and benefits, and discusses best practices for developing a cloud strategy and roadmap. It outlines key steps such as analyzing workloads to determine cloud suitability, assessing infrastructure readiness, and developing a phased approach. Lessons learned emphasize the importance of standardization, starting small, transparency of costs, and network readiness for enabling cloud services.
IRJET- Cloud Cost Analyzer and OptimizerIRJET Journal
油
This document proposes a system to monitor virtual machines (VMs or EC2 instances) on private clouds like Amazon or Google and provide solutions to reduce infrastructure costs from the customer's perspective. The system would monitor EC2 VM usage, performance metrics, and the customer's current cloud cost plan. It aims to optimize resource usage and save costs by proposing reductions to resources or cost plans. The system is designed to build a test bed using an Amazon account to connect to a user's resources and fetch performance data like RAM, CPU usage. It would then calculate pricing for storage, CPU usage, requests and other metrics to estimate overall setup costs and find opportunities for cost optimization.
Cloud Computing Revolution The Third It Industry RevolutionLiming Liu
油
Introduction to Cloud computing
Why does cloud computing revolution come now
How Cloud computing change IT industry
How Cloud computing change the world
Material
IDC Tech Spotlight: From Silicon To CloudJames Price
油
The topic of cloud computing has received a tremendous amount of attention in the last year. This whitepaper discusses some of the aspects of the delivery of IT Infrastructure as a service.
How Should I Prepare Your Enterprise For The Increased...Claudia Brown
油
The document discusses different types of processor architectures: RISC, CISC, mainframe, and vector processors. It notes that each architecture has evolved over the years for different applications and purposes. Network processors in particular have evolved for networking applications. The document suggests that a comparative study of these architectures would provide insights into their relative strengths and weaknesses for various uses.
Sap on aws webinar on reducing tco 07092017Krishnan K
油
The document discusses the benefits of running SAP workloads on AWS compared to on-premises environments. It outlines that AWS provides significant cost savings through more efficient utilization of infrastructure, no overprovisioning for peak loads, and pay-as-you-go pricing models. It also notes that AWS offers increased operational resilience through its global infrastructure footprint and continuous innovation lowering costs over time which are passed on to customers.
Lew Tucker discusses the rise of cloud computing and its impact. He defines various cloud service models like SaaS, PaaS, and IaaS. Tucker analogizes the shift to cloud computing from individual data centers generating their own power to today's electrical grid. Major drivers of cloud computing include the growth of web APIs and massive amounts of user-generated data. Tucker outlines how cloud computing changes what developers can access and how applications are designed and scaled.
This document discusses challenges and opportunities related to virtualization and cloud computing in 2011. It begins by stating that server virtualization is very popular but also has some issues related to quality of service, monitoring, and capacity planning. Desktop virtualization is emerging but has challenges around cost and maturity. The document advocates a hybrid cloud approach and emphasizes the importance of standardization and well-defined processes.
You Don't Need an AI Strategy, But You Do Need to Be Strategic About AI - Jes...All Things Open
油
Presented at All Things Open AI 2025
Presented by Jessica Hall - Hallway Studio
Title: You Don't Need an AI Strategy, But You Do Need to Be Strategic About AI
Abstract: Theres so much noise about creating an AI strategy, its easy to feel like youre already behind. But heres the thing: you dont need an AI strategy or a data strategy. Those things need to serve your business strategy and that requires strategic thinking.
Heres what youll get:
A clear understanding of why AI is a means to an endnot the end itselfand how to use it to solve problems traditional methods cant touch.
How to align AI with strategy using questions like Where do we play? How do we win? from Roger L. Martin and A.G. Lafley.
What successful AI initiatives have in common: clear value, smart use of unique data, and meaningful business impact.
A checklist to evaluate AI opportunitiescovering metrics, workflows, and the human factors that make or break AI efforts.
Find more info about All Things Open:
On the web: https://www.allthingsopen.org/
Twitter: https://twitter.com/AllThingsOpen
LinkedIn: https://www.linkedin.com/company/all-things-open/
Instagram: https://www.instagram.com/allthingsopen/
Facebook: https://www.facebook.com/AllThingsOpen
Mastodon: https://mastodon.social/@allthingsopen
Threads: https://www.threads.net/@allthingsopen
Bluesky: https://bsky.app/profile/allthingsopen.bsky.social
2025 conference: https://2025.allthingsopen.org/
SAP Business Data Cloud: Was die neue SAP-L旦sung f端r Unternehmen und ihre Dat...IBsolution GmbH
油
Inhalt:
Daten spielen f端r jede Business-Transformation eine entscheidende Rolle. Mithilfe der SAP Business Data Cloud (BDC) sind Unternehmen in der Lage, s辰mtliche Daten miteinander zu verbinden und zu harmonisieren. Die SAP BDC stellt eine Weiterentwicklung der bisherigen SAP-Datenstrategie dar - mit SAP Datasphere und der SAP Analytics Cloud (SAC) als elementaren S辰ulen. Besonders hervorzuheben: Databricks ist als OEM-Produkt in die Architektur integriert. Die SAP BDC kombiniert neue und bestehende Technologien, um Anwendern angereicherte Datenprodukte, fortschrittliche Analyse-Funktionalit辰ten und KI-gest端tzte Insights-Anwendungen bereitzustellen. Kurz gesagt: Mit SAP BDC schaffen Unternehmen eine zentrale Drehscheibe f端r ihre gesch辰ftskritischen Daten und legen die Basis f端r SAP Business AI.
In unserem Expertengespr辰ch erl辰utern Stefan Hoffmann (Head of Cross Solution Management SAP HANA & Analytics bei SAP) und Martin Eissing (Projektmanager bei IBsolution), was es mit der SAP Business Data Cloud genau auf sich hat und welche konkreten Vorteile mit dem neuen Angebot einhergehen. Auerdem zeigen sie auf, wie das erste Feedback der Kunden zur SAP BDC ausf辰llt und welche Wege Unternehmen zur SAP BDC f端hren.
Zielgruppe:
- IT-Leiter/IT-Entscheider
- Data Analysts
- Datenarchitekten
- BI-Spezialisten
- Anwender in den Fachbereichen
Agenda:
1. Was ist die SAP Business Data Cloud (BDC)?
2. Einordnung in die SAP-Datenstrategie
3. Voraussetzungen und Mehrwerte der SAP BDC
4. Architektur der SAP BDC
5. Handlungsempfehlungen f端r SAP BW-Kunden und SAP Datasphere-Kunden
6. Q&A
This presentation, delivered at Boston Code Camp 38, explores scalable multi-agent AI systems using Microsoft's AutoGen framework. It covers core concepts of AI agents, the building blocks of modern AI architectures, and how to orchestrate multi-agent collaboration using LLMs, tools, and human-in-the-loop workflows. Includes real-world use cases and implementation patterns.
DONT PANIC: AI IS COMING The Hitchhikers Guide to AI - Mark Hinkle, Perip...All Things Open
油
Presented at All Things Open AI 2025
Presented by Mark Hinkle - Peripety油Labs
Title: DONT PANIC: AI IS COMING The Hitchhikers Guide to AI
Abstract: AI is coming of age, and much like discovering intergalactic travel, its equal parts thrilling and terrifying. Fears of job loss, doomsday scenarios, and bureaucratic AI overlords dominate the conversationbut I think the reality is far less apocalyptic and far more exciting. With the right guide, you can navigate this new universe, adapt, and even thrive. Thats what AllThingsOpen.AI is all aboutbuilding a community where people and businesses dont just survive AIs rise but flourish in it. So grab your towel, keep an open mind, and lets explore the futurewithout the panic. Listen to Conference Co-Producer and publisher of the Artificially Intelligent Enterprise, Mark Hinkle, provide a vision on how AI will play out in our lives.
Find more info about All Things Open:
On the web: https://www.allthingsopen.org/
Twitter: https://twitter.com/AllThingsOpen
LinkedIn: https://www.linkedin.com/company/all-things-open/
Instagram: https://www.instagram.com/allthingsopen/
Facebook: https://www.facebook.com/AllThingsOpen
Mastodon: https://mastodon.social/@allthingsopen
Threads: https://www.threads.net/@allthingsopen
Bluesky: https://bsky.app/profile/allthingsopen.bsky.social
2025 conference: https://2025.allthingsopen.org/
The Death of the Browser - Rachel-Lee Nabors, AgentQLAll Things Open
油
Presented at All Things Open AI 2025
Presented by Rachel-Lee Nabors - AgentQL
Title: The Death of the Browser
Abstract: In ten years, Internet Browsers may be a nostalgic memory. As enterprises face mounting API costs and integration headaches, a new paradigm is emerging. The internet's evolution from an open highway into a maze of walled gardens and monetized APIs has created significant challenges for businessesbut it has also set the stage for accessing and organizing the worlds information.
This lightning talk traces our journey from the invention of the browser to the arms race of scraping for data and access to it to the dawn of AI agents, showing how the challenges of today opened the door to tomorrow. See how technologies refined by the web scraping community are combining with large language models to create practical alternatives to costly API integrations.
From the rise of platform monopolies to the emergence of AI agents, this timeline-based exploration will help you understand where we've been, where we are, and where we're heading. Join us for a glimpse of how AI agents are enabling a return to the era of free information with the web as the API.
Find more info about All Things Open:
On the web: https://www.allthingsopen.org/
Twitter: https://twitter.com/AllThingsOpen
LinkedIn: https://www.linkedin.com/company/all-things-open/
Instagram: https://www.instagram.com/allthingsopen/
Facebook: https://www.facebook.com/AllThingsOpen
Mastodon: https://mastodon.social/@allthingsopen
Threads: https://www.threads.net/@allthingsopen
Bluesky: https://bsky.app/profile/allthingsopen.bsky.social
2025 conference: https://2025.allthingsopen.org/
This is session #5 of the 5-session online study series with Google Cloud, where we take you onto the journey learning generative AI. Youll explore the dynamic landscape of Generative AI, gaining both theoretical insights and practical know-how of Google Cloud GenAI tools such as Gemini, Vertex AI, AI agents and Imagen 3.
The Best of Both Worlds: Hybrid Clustering with Delta Lakecarlyakerly1
油
The Best of Both Worlds: Hybrid Clustering with Delta Lake
This deck walks you through best practices, real-world use cases, and hybrid approaches to help you maximize performance while keeping your creative freedom intact.
Video of full session: https://www.youtube.com/watch?v=0Gbq3B1FI-8
Presentation Session 2 -Context Grounding.pdfMukesh Kala
油
This series is your gateway to understanding the WHY, HOW, and WHAT of this revolutionary technology. Over six interesting sessions, we will learn about the amazing power of agentic automation. We will give you the information and skills you need to succeed in this new era.
Delivering your own state-of-the-art enterprise LLMsAI Infra Forum
油
MemVerge CEO Charles Fan describes a software stack that can simplify and expedite the deployment of language models with capabilities such as GPU-as-a-Service, Training-as-a-Service, Inference-as-a-Service, and Transparent Checkpointing.
Open-Source GenAI vs. Enterprise GenAI: Navigating the Future of AI Innovatio...All Things Open
油
Presented at All Things Open AI 2025
Presented by Dr. Ruth Akintunde - SAS Institute Inc.
Title: Open-Source GenAI vs. Enterprise GenAI: Navigating the Future of AI Innovation
Abstract: This talk explores the critical differences between Open-Source Generative AI and Enterprise Generative AI, highlighting their respective strengths and challenges. Open-Source GenAI fosters innovation through community collaboration, accessibility, and adaptability, while Enterprise GenAI prioritizes security, scalability, and reliability. Key aspects such as cost, ethical considerations, and long-term sustainability are examined to understand their impact on AI development and deployment. Ultimately, the talk advocates for a hybrid approach, leveraging the best of both worlds to drive AI innovation forward.
Find more info about All Things Open:
On the web: https://www.allthingsopen.org/
Twitter: https://twitter.com/AllThingsOpen
LinkedIn: https://www.linkedin.com/company/all-things-open/
Instagram: https://www.instagram.com/allthingsopen/
Facebook: https://www.facebook.com/AllThingsOpen
Mastodon: https://mastodon.social/@allthingsopen
Threads: https://www.threads.net/@allthingsopen
Bluesky: https://bsky.app/profile/allthingsopen.bsky.social
2025 conference: https://2025.allthingsopen.org/
Leveraging Pre-Trained Transformer Models for Protein Function Prediction - T...All Things Open
油
Presented at All Things Open AI 2025
Presented by Tia Pope - North Carolina A&T
Title: Leveraging Pre-Trained Transformer Models for Protein Function Prediction
Abstract: Transformer-based models, such as ProtGPT2 and ESM, are revolutionizing protein sequence analysis by enabling detailed embeddings and advanced function prediction. This talk provides a hands-on introduction to using pre-trained open-source transformer models for generating protein embeddings and leveraging them for classification tasks. Attendees will learn to tokenize sequences, extract embeddings, and implement machine-learning pipelines for protein function annotation based on Gene Ontology (GO) or Enzyme Commission (EC) numbers. This session will showcase how pre-trained transformers can democratize access to advanced protein analysis techniques while addressing scalability and explainability challenges. After the talk, the speaker will provide a notebook to test basic functionality, enabling participants to explore the concepts discussed.
Find more info about All Things Open:
On the web: https://www.allthingsopen.org/
Twitter: https://twitter.com/AllThingsOpen
LinkedIn: https://www.linkedin.com/company/all-things-open/
Instagram: https://www.instagram.com/allthingsopen/
Facebook: https://www.facebook.com/AllThingsOpen
Mastodon: https://mastodon.social/@allthingsopen
Threads: https://www.threads.net/@allthingsopen
Bluesky: https://bsky.app/profile/allthingsopen.bsky.social
2025 conference: https://2025.allthingsopen.org/
Packaging your App for AppExchange Managed Vs Unmanaged.pptxmohayyudin7826
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Learn how to package your app for Salesforce AppExchange with a deep dive into managed vs. unmanaged packages. Understand the best strategies for ISV success and choosing the right approach for your app development goals.
Graphs & GraphRAG - Essential Ingredients for GenAINeo4j
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Knowledge graphs are emerging as useful and often necessary for bringing Enterprise GenAI projects from PoC into production. They make GenAI more dependable, transparent and secure across a wide variety of use cases. They are also helpful in GenAI application development: providing a human-navigable view of relevant knowledge that can be queried and visualised.
This talk will share up-to-date learnings from the evolving field of knowledge graphs; why more & more organisations are using knowledge graphs to achieve GenAI successes; and practical definitions, tools, and tips for getting started.
From Strategy To Execution In HypergrowthPete Nieminen
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Do Clouds Compute? A Framework for Estimating the Value of Cloud Computing.
1. Do Clouds Compute? A Framework for Estimating the Value of Cloud Computing (WeB 2008 The Seventh Workshop on e-Business) Markus Klems , Jens Nimis, Stefan Tai Forschungszentrum Informatik, Karlsruhe (Germany)
2. Observations Cloud Computing very popular in 2007 and 2008 Rich ecosystem of Cloud providers, enablers and users Our understanding: Cloud != Grid Research questions What is Cloud Computing? What is the value proposition of Cloud Computing? Our approach & contribution Collect real-world use cases where Cloud Computing is applied Develop a structured, systematic framework to assist decision makers in valuating benefits specific to Cloud Computing technology Introduction Since Cloud Computing addresses different usage scenarios than Grid Computing we need a new way to valuate this technology.
3. A Short History of Cloud Computing Amazon EC2 (August 2006) Google App Engine (April 2008) Microsoft Azure (Oct 2008) Facebook Platform (May 2007) Amazon S3 (March 2006) Salesforce AppExchange (March 2006) Our Definition Building on compute and storage virtualization technologies, and leveraging the modern Web, Cloud Computing provides scalable and affordable compute utilities as on-demand services with variable pricing schemes, enabling a new consumer mass market.
4. The classical problem Under-utilized server resources waste computing power (and energy) Over-utilized servers cause interruption or degradation of service levels The promise: Server resources are delivered on-demand as usage-metered compute utilities Cloud-user does not need to forecast demand Turn fixed costs into variable costs Promises of Cloud Computing The emerging problems Highly dynamic scalability demands Time to market Leveraging the modern Web Evolution of Desktop apps to Software-as-a-Service Programmable Web The promise: Reduced provision lead times Scalability Sophisticated infrastructure is available as Services The promise: A stable, reliable platform to develop, test and deploy network-centric end-user applications
5. We propose a basic framework for estimating value and determine benefits from Cloud Computing as an alternative to conventional IT infrastructure, such as on-premise infrastructure. Our Framework: Overview 1. Business Scenario 2. Cost Comparison Value of Cloud Computing Service in opportunity costs
6. Qualitative Analysis 1. Business Scenario Create a list of Cloud Computing providers and their services and evaluate the services that meet your business scenario requirements according to the following criteria. 1.1 Business Case 1.2 Organization 1.3 Compliance 1.4 Business Objectives 1.5 Strategy 1.6 Demand 1.7 Application 1.8 Non-Functional Requirements 1.9 Finance
7. Example: Animoto* *http://aws.typepad.com/aws/2008/04/animoto---scali.html 1.1 Business Case Animoto Videos Facebook application 1.2 Organization Start-up company 1.3 Compliance (data ownership and privacy regulations) 1.4 Business Objectives Drastically increase user base 1.5 Strategy Viral marketing 1.6 Demand Linear growth in the first month up to 25,000 users After a feature change: increase to 250,000 users within three days (1000%) 1.7 Application Generate personalized music videos from users images and music files 1.8 Non-Functional Requirements Scalability High availability 1.9 Finance Low liquidity, tie costs to growth
8. Quantitative Analysis 2. Cost Comparison ** e.g. Amazon EC2 and S3, FlexiScale, Mosso (Rackspace), Joyent, etc. * e.g. on-premise IT infrastructure Infrastructure #1* (world without Cloud Computing) Infrastructure #2** (world with Cloud Computing) Define a cost metric for each attribute Calculate a cost estimate for #1 for each attribute Define a cost metric for each attribute Identify comparable infrastructure attributes Calculate a cost estimate for #2 for each attribute Aggregate the cost estimates Aggregate the cost estimates Value of Cloud Computing Services in terms of opportunity costs
9. Quantitative Analysis: Example 2. Cost Comparison ** e.g. Amazon EC2 and S3, FlexiScale, Mosso (Rackspace), Joyent, etc. * e.g. on-premise IT infrastructure Infrastructure #1* (world without Cloud Computing) Infrastructure #2** (world with Cloud Computing) Define a cost metric for each attribute Calculate a cost estimate for #1 for each attribute Define a cost metric for each attribute Identify comparable infrastructure attributes Calculate a cost estimate for #2 for each attribute Aggregate the cost estimates Aggregate the cost estimates Value of Cloud Computing Services in terms of opportunity costs e.g. processing power (ECU), storage capacity, On-premise infrastructure Amazon EC2 Cumulative costs for attribute processing power Cumulative costs for attribute processing power Weigh costs for processing power with 100% Weigh costs for processing power with 100% Compare costs
10. Conclusion Clouds provide scalable, abstracted IT infrastructure as Services We propose a structured, systematic framework to value benefits from using Cloud Computing technology Future Work Further categorize use cases and apply our framework Identify more valuation methods to extend the framework Develop tools to compare different Cloud offerings and provide decision support More information http://cloudwiki.fzi.de http://www.eOrganization.de (powered by Google App Engine) http://www.cloudytimes.com (my blog) Conclusion & Future Work
13. The Beauty of Simplicity Web Development Infrastructure complex, error-prone, hideous spaghetti code simple, test-driven, elegant, stable, agile Web development framework complex, error-prone, fragile IT infrastructure simple, elegant, stable, scalable, pay-per-use IT infrastructure (as a Service)
14. End-user applications, Software-as-a-Service (SaaS) Platform-as-a-Service (PaaS) Infrastructure-as-a-Service (IaaS) Cloud Ecosystem Google App Engine Platform as a Service (PaaS) End-User Applications Salesforce AppExchange Facebook Platform Facebook Apps Live Mesh AppExchange Apps OpenSocial Apps Amazon Web Services Rackspace 3tera Joyent Infrastructure as a Service (IaaS) Brokers, Tools and Frameworks End-User Applications flexiscale NASDAQ Market Replay Jungle Disk Powerset Mosso cohesiveFT RightScale MLB zimory enomaly Aptana cloud
15. Grid vs. Cloud Grid Cloud Underlying concept Utility Computing Utility Computing Main benefit Solve computationally complex problems Provide a scalable standard environment for network-centric application development, testing and deployment Resource distribution / allocation Negotiate and manage resource sharing; schedulers Simple user <-> provider model; pay-per-use Domains Multiple domains Single domain Character / history Non-commercial, publicly funded Commercial
17. Simple Cost Calculation (1) Amazon EC2 Extra-large standard instance 1 ECU / instance 8 ECU 8 * http://aws.amazon.com/ec2/#instance Price 0.8 $ / (extra-large standard instance * hour) Additional services 0.2 * assumed to be additional 25% of the ECU price Total costs 0.125 $ / (ECU * hour) On-Premise Servers 1 dell.com: Quad Core Intel Xeon 5405 ECUs / server 8 dell.com: Quad Core Intel Xeon 5405 ECU 8 Price / server 1700 dell.com: Quad Core Intel Xeon 5405 Additional infrastructure 850 * assumption: 50% of server costs CapEx 850 $ / year (straight line depreciateion over 3 years, no discounting) CapEx / hour 0.10 $ / hour Power 213 * assumption: 25% of infrastructure costs / year IT management 85 * assumption: 10% of infrastructure costs / year Network fees 85 * assumption: 10% of infrastructure costs / year OpEx 383 $ / year OpEx / hour 0.04 $ / hour Total costs 0.018 $ / (ECU * hour)
18. Simple Cost Calculation (2) * plus additional infrastructure, power, networking and IT staff; keep 20% empty space buffer to max. predicted demand Cost Comparison: IT infrastructure #1 IT infrastructure #2 Description Quad-core servers* Amazon EC2 Scenario Starting with 400 ECU in the first month; 1000% instant traffic increase in the second month; then back to 400 Metric: USD / (ECU * h) 0.02 0.125 Cum. costs of 1 st month 56,729 USD 33,600USD Cum. costs of first 6 months 340,373 USD 277,200 USD
20. (Fictional) Example: Large-Scale Enterprise 1.1 Business Case Internet-scale testing environment 1.2 Organization Complex and heterogeneous IT infrastructure 1.3 Compliance Industry-dependent, e.g. Financial / accounting: SOX, Basel II Health care: HIPAA compliance 1.4 Business Objectives Reduce time to market by shortening innovation cycles 1.5 Strategy Private or public Cloud? 1.6 Demand Predictable, expected demand 1.7 Application Java EE + JBoss + Oracle DB + 1.8 Non-Functional Requirements Security 1.9 Finance Taxation