Paul Miller of The Cloud of Data presented on exploiting data in the cloud. Some key points included:
- Moving infrastructure to the cloud is common, but moving data is less so despite opportunities for growth.
- The cloud offers different service models including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
- The Semantic Web, envisioned by Tim Berners-Lee, aims to make data on the web more connected and usable by both humans and machines. Linked open data principles can help realize this vision.
- Most data is actually "context" rather than "core" but is treated as confidential;
This document discusses the challenges of managing large amounts of data, or "big data". It argues that we should stop trying to control data and use language focused on opportunity rather than problems. New technologies are emerging that can process large amounts of data in parallel and in real-time. The document advocates making data openly available through application programming interfaces (APIs) and appropriate licensing to realize its full potential and value.
The document discusses the evolution of the web from a "Web of Documents" to a "Semantic Web." It argues that while the vision of a Semantic Web proposed in 2001 has yet to be fully realized, the pieces are falling into place. Examples of linked open data projects show how structured data from sources like Wikipedia, the BBC, and government data is being interconnected using semantic web technologies. The use of semantics on the web brings value by sometimes solving narrow problems and linking data beyond specific applications.
Cutting through the hype: Cloud Computing in ContextPaul Miller
油
This document is a presentation by Dr. Paul Miller of Cloud of Data about clouds in context. It discusses several "truths" about cloud computing, including that it is simply off-premise computing, similar to utilities like the electrical grid. It also notes that cloud computing can be cheap for elastic workloads but the cost savings are less clear for normal loads. The presentation outlines the cloud computing stack including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). It discusses opportunities cloud computing presents for higher education including virtualizing servers, using cloud platforms instead of building applications from scratch, and replacing desktop software with cloud apps.
The document discusses opportunities for audio-visual archives presented by big data and linked data. It notes that the volume of digital data being created is growing exponentially and costs for data storage are declining rapidly. Linked data enables connecting disparate data sources on the web using common standards and can transform isolated data silos into an open web of data. This creates opportunities for audio-visual archives to leverage web-scale tools and storage, link their data to outside sources, and take advantage of the growing web of linked open data.
Presentation on Linked Data, Attention Data, and the use of library circulation data in the wider world. Presentation given at the wrap-up workshop for the JISC-funded MOSAIC Project.
My presentation to TTI/Vanguard in San Diego, California, on 19 February 2009.
The two-day event was exploring Cloud Computing, and my presentation looked specifically at the role of the Cloud in creating opportunities to expose, discover and exploit data across the Web.
The document is a presentation about how product management has changed with the rise of cloud computing and analytics. It discusses how these technologies have made experimentation easier and faster by reducing upfront costs and improving measurement. Product managers are now able to conduct many parallel experiments in production and gain real-time feedback on what works, rather than relying on justification, surveys or roadmaps. This new approach favors learning over planning and emphasizes discovering what doesn't work rather than getting features perfectly right.
eGovernment, free licenses & FoI in Germanyclhanken
油
The document discusses issues around open government data and licensing in Germany. It summarizes that (1) German government agencies currently restrict access to and reuse of public information, using "All Rights Reserved" instead of open licenses. (2) Open licenses like Creative Commons and open source software could make more government data and software freely available for public use and innovation. (3) Laws around freedom of information and reuse of public sector information in Germany aim to increase transparency but agencies can still charge fees and deny some requests.
Information Security and Cloud ComputingPaul Miller
油
A short presentation on Information Security and Cloud Computing, prepared for an event of the UK's Society of Archivists.
The slides were intended to shape the issues ahead of a longer discussion session.
This document advertises an upcoming IGT Annual Event focused on big data, SaaS business, cloud computing, mobility, analytics, social media, and cybersecurity. The event will allow attendees to network with partners and customers, learn about case studies and new technologies, and be part of a professional cloud community. It provides details on registering for the event through the IGTCloud Meetup group.
This document discusses performance in the cloud and provides statistics about cloud computing. It begins with an introduction and credibility building by sharing a shocking statistic. The main content then discusses cloud stats such as spending and usage percentages. It addresses reasons for and against moving to the cloud as well as challenges. The document provides examples of understanding normal performance and scaling. It emphasizes planning for failure, managing performance across layers, and not compromising on the user experience. Objectives are outlined and a demo is promised before summarizing that disruption demands change, handling scale and resilience, and not compromising on performance.
This document discusses the growth of cloud computing and its economic impact. It notes that the cloud market is projected to hit $240 billion by 2020, a six-fold increase from 2011. It highlights how cloud computing allows companies to scale up and down easily and move to real-time, on-demand services. The document also examines security issues and how both businesses and vendors can benefit from the cloud.
CommunityOneEast 09 - Running Java On Amazon EC2Chris Richardson
油
The Amazon Elastic Compute Cloud (EC2) is a virtualized computing environment where you rapidly provision and manage servers via a web services API. It is ideally suited to running Java applications because it allows you to develop applications using standard software packages such as Glassfish and MySQL. However, because it is a cloud, some aspects of EC2 are very different than a traditional, physical computing environment, which impacts how you handle security, networking, storage and availability.
Understanding the network's role in cloud computing requires understanding the effect of cloud computing on networking. The end result is five key trends in cloud networking, as presented by James Urquhart from Cisco Systems, and author of CNET's The Wisdom of Clouds
This document discusses key aspects of enterprise cloud computing including definitions of cloud computing, the SPI model of cloud services, and architectural choices and challenges presented by cloud computing. Some of the main challenges mentioned are the need for elastic resources, stateless and asynchronous system designs, data sharding, and ensuring redundancy and high availability despite constant failures.
Netcetera consultants Ronnie Brunner and Jason Brazile present the results of a year long study of existing and potential uses of cloud computing at the European Space Agency. Some unpublished internal material was removed. Queries can be directed to the contract's Technical Officer at ESA ESRIN.
SD Forum Java SIG - Running Java Applications On Amazon EC2Chris Richardson
油
The Amazon Elastic Compute Cloud (EC2) is ideally suited to running Java applications. It lets you develop using standard Java software packages such as Tomcat and MySQL and rapidly deploy applications on servers that are provisioned and managed via a web services API. However, because it is a cloud, some aspects of EC2 are very different than a traditional, physical computing environment. In this session you will learn about those differences and how they impact how you handle security, networking, storage and availability. We describe how to use EC2 and the other Amazon web services to develop and deploy Java applications. You will learn how to use EC2 availability zones to deploy highly available applications. We also discuss how to architect secure applications for Amazon EC2.
Cloud computing is a huge topic. It encompasses diverse models and technologies, even though users and the trade press tend to lump them under a common name.
For that matter, please note that we're still discovering many of the security issues which will challenge cloud computing!
Because cloud computing is still a work-in-progress. Because it is rapidly evolving, what I tell today you may quickly become irrelevant or obsolete.
Nonetheless, there's so much thrust behind cloud computing that we simply don't have the option of sitting back and waiting to understand address cloud computing security issues.
Cloud 101 What The Heck Do Iaa S, Paa S And Saa S Companies Do Venture BeatGregory Pence
油
This document discusses the different types of cloud computing services: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). IaaS refers to companies that provide access to remote server hardware, storage, and networking resources over the internet. PaaS refers to companies that provide development platforms and tools for building applications in the cloud. SaaS refers to software applications that are hosted in the cloud and accessed via a web browser. Examples of companies providing each type of cloud service are given.
Randy Bias - Presentation at Emerging Communications Conference & Awards (eCo...eCommConf
油
The document discusses how web-scale clouds have become dominant over legacy clouds due to their lower costs and ability to support new applications. It argues that carriers missed an opportunity with cloud computing because they focused on expensive, complex legacy clouds rather than agile web-scale clouds. However, carriers still have advantages like networks and mobile expertise that could be leverized by adopting a web-scale approach. The key is for carriers to seize the opportunity now before they lose more ground to cloud pioneers like AWS.
David S. Linthicum is a thought leader in cloud computing. He writes the #1 best-selling book on cloud computing, runs the #1 most read blog on cloud computing, and hosts the #1 most listened to podcast on cloud computing. Linthicum's presentation discusses the history and evolution of cloud computing, emerging trends like the rise of big data and the morphing of delivery models. The future of cloud computing includes its absorption into mainstream computing, a focus on security through centralized trust models, and the importance of centralized data and mobile devices. Linthicum recommends investing in PaaS providers, centralized identity management, and the rise of cloud aggregators.
The document discusses the virtualization landscape in the financial industry. It addresses how virtualization relates to cloud computing, the challenges of regulations/standards, sustaining resiliency during flip/flops between production and DR sites, integrating legacy systems, and storage issues. The document also outlines where the industry currently stands with cloud services and active/active setups, and concludes by stating that financial institutions are embracing new technologies but fully embracing public cloud remains uncertain due to regulatory requirements.
Distributed tracing with service meshes and tracing spans across polyglot Mic...Nebulaworks
油
This talk explores distributed tracing as a foundational discipline for understanding Microservices deployments, supporting the core roles of architecture, development, and operations production environments.
The talk builds upon the foundation of Kubernetes, Istio, and Open Tracing, combined with examples from mainstream development frameworks. The examples show how distributed tracing can be enabled and deployed gradually, helping developers and architects deliver better code while operations teams keep their sanity when supporting the product.
Key Takeaways:
* A basic understanding of how distributed tracing relates to a product architecture
*Concrete examples of how to instrument microservices in a Kubernetes environment
*Concrete examples of how to visualize and act upon distribute tracing information
Performing serverless analytics in AWS Glue - ADB202 - Chicago AWS SummitAmazon Web Services
油
The document discusses serverless analytics using AWS Glue. It provides an overview of AWS Glue, describing how it uses Apache Spark and Python shells to enable serverless data science and analytics. It also discusses how AWS Glue supports data discovery, preparation, and orchestration of analytics workflows through its crawlers, data catalog, notebooks, and orchestration capabilities. Customer examples are given that demonstrate how AWS Glue allows cost-effective and scalable serverless analytics without operational overhead.
Cloud computing is an emerging model where data and services are hosted in remote "clouds" accessed through browsers or apps. Google CEO Eric Schmidt discussed this model in 2006, noting its potential is not fully understood. Major companies benefiting include Google, Yahoo, eBay and Amazon. Amazon Web Services are a leading public cloud platform, offering services like EC2, S3, CloudFront and SimpleDB. Challenges include availability, data lock-in, confidentiality, performance unpredictability and software licensing issues.
際際滷s for an introductory workshop on cloud computing for a web app developer audience at FOWA Miami 09 (http://events.carsonified.com/fowa/2009/miami/workshops#workshop_36)
SeattleUniv-IntroductionToCloudComputing-WinsowsAzure101Mithun T. Dhar
油
The document discusses cloud computing and Microsoft Azure. It provides an overview of Azure including its data centers, virtual machines, storage options like blobs and tables, services like App Fabric, and the Fabric Controller which manages virtual instances and load balancing. It also discusses the different roles in Azure like Web Roles and Worker Roles and platforms offered, such as Infrastructure as a Service, Platform as a Service and Software as a Service.
Understanding Traditional AI with Custom Vision & MuleSoft.pptxshyamraj55
油
Understanding Traditional AI with Custom Vision & MuleSoft.pptx | ### 際際滷 Deck Description:
This presentation features Atul, a Senior Solution Architect at NTT DATA, sharing his journey into traditional AI using Azure's Custom Vision tool. He discusses how AI mimics human thinking and reasoning, differentiates between predictive and generative AI, and demonstrates a real-world use case. The session covers the step-by-step process of creating and training an AI model for image classification and object detectionspecifically, an ad display that adapts based on the viewer's gender. Atulavan highlights the ease of implementation without deep software or programming expertise. The presentation concludes with a Q&A session addressing technical and privacy concerns.
TrustArc Webinar - Building your DPIA/PIA Program: Best Practices & TipsTrustArc
油
Understanding DPIA/PIAs and how to implement them can be the key to embedding privacy in the heart of your organization as well as achieving compliance with multiple data protection / privacy laws, such as GDPR and CCPA. Indeed, the GDPR mandates Privacy by Design and requires documented Data Protection Impact Assessments (DPIAs) for high risk processing and the EU AI Act requires an assessment of fundamental rights.
How can you build this into a sustainable program across your business? What are the similarities and differences between PIAs and DPIAs? What are the best practices for integrating PIAs/DPIAs into your data privacy processes?
Whether you're refining your compliance framework or looking to enhance your PIA/DPIA execution, this session will provide actionable insights and strategies to ensure your organization meets the highest standards of data protection.
Join our panel of privacy experts as we explore:
- DPIA & PIA best practices
- Key regulatory requirements for conducting PIAs and DPIAs
- How to identify and mitigate data privacy risks through comprehensive assessments
- Strategies for ensuring documentation and compliance are robust and defensible
- Real-world case studies that highlight common pitfalls and practical solutions
Information Security and Cloud ComputingPaul Miller
油
A short presentation on Information Security and Cloud Computing, prepared for an event of the UK's Society of Archivists.
The slides were intended to shape the issues ahead of a longer discussion session.
This document advertises an upcoming IGT Annual Event focused on big data, SaaS business, cloud computing, mobility, analytics, social media, and cybersecurity. The event will allow attendees to network with partners and customers, learn about case studies and new technologies, and be part of a professional cloud community. It provides details on registering for the event through the IGTCloud Meetup group.
This document discusses performance in the cloud and provides statistics about cloud computing. It begins with an introduction and credibility building by sharing a shocking statistic. The main content then discusses cloud stats such as spending and usage percentages. It addresses reasons for and against moving to the cloud as well as challenges. The document provides examples of understanding normal performance and scaling. It emphasizes planning for failure, managing performance across layers, and not compromising on the user experience. Objectives are outlined and a demo is promised before summarizing that disruption demands change, handling scale and resilience, and not compromising on performance.
This document discusses the growth of cloud computing and its economic impact. It notes that the cloud market is projected to hit $240 billion by 2020, a six-fold increase from 2011. It highlights how cloud computing allows companies to scale up and down easily and move to real-time, on-demand services. The document also examines security issues and how both businesses and vendors can benefit from the cloud.
CommunityOneEast 09 - Running Java On Amazon EC2Chris Richardson
油
The Amazon Elastic Compute Cloud (EC2) is a virtualized computing environment where you rapidly provision and manage servers via a web services API. It is ideally suited to running Java applications because it allows you to develop applications using standard software packages such as Glassfish and MySQL. However, because it is a cloud, some aspects of EC2 are very different than a traditional, physical computing environment, which impacts how you handle security, networking, storage and availability.
Understanding the network's role in cloud computing requires understanding the effect of cloud computing on networking. The end result is five key trends in cloud networking, as presented by James Urquhart from Cisco Systems, and author of CNET's The Wisdom of Clouds
This document discusses key aspects of enterprise cloud computing including definitions of cloud computing, the SPI model of cloud services, and architectural choices and challenges presented by cloud computing. Some of the main challenges mentioned are the need for elastic resources, stateless and asynchronous system designs, data sharding, and ensuring redundancy and high availability despite constant failures.
Netcetera consultants Ronnie Brunner and Jason Brazile present the results of a year long study of existing and potential uses of cloud computing at the European Space Agency. Some unpublished internal material was removed. Queries can be directed to the contract's Technical Officer at ESA ESRIN.
SD Forum Java SIG - Running Java Applications On Amazon EC2Chris Richardson
油
The Amazon Elastic Compute Cloud (EC2) is ideally suited to running Java applications. It lets you develop using standard Java software packages such as Tomcat and MySQL and rapidly deploy applications on servers that are provisioned and managed via a web services API. However, because it is a cloud, some aspects of EC2 are very different than a traditional, physical computing environment. In this session you will learn about those differences and how they impact how you handle security, networking, storage and availability. We describe how to use EC2 and the other Amazon web services to develop and deploy Java applications. You will learn how to use EC2 availability zones to deploy highly available applications. We also discuss how to architect secure applications for Amazon EC2.
Cloud computing is a huge topic. It encompasses diverse models and technologies, even though users and the trade press tend to lump them under a common name.
For that matter, please note that we're still discovering many of the security issues which will challenge cloud computing!
Because cloud computing is still a work-in-progress. Because it is rapidly evolving, what I tell today you may quickly become irrelevant or obsolete.
Nonetheless, there's so much thrust behind cloud computing that we simply don't have the option of sitting back and waiting to understand address cloud computing security issues.
Cloud 101 What The Heck Do Iaa S, Paa S And Saa S Companies Do Venture BeatGregory Pence
油
This document discusses the different types of cloud computing services: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). IaaS refers to companies that provide access to remote server hardware, storage, and networking resources over the internet. PaaS refers to companies that provide development platforms and tools for building applications in the cloud. SaaS refers to software applications that are hosted in the cloud and accessed via a web browser. Examples of companies providing each type of cloud service are given.
Randy Bias - Presentation at Emerging Communications Conference & Awards (eCo...eCommConf
油
The document discusses how web-scale clouds have become dominant over legacy clouds due to their lower costs and ability to support new applications. It argues that carriers missed an opportunity with cloud computing because they focused on expensive, complex legacy clouds rather than agile web-scale clouds. However, carriers still have advantages like networks and mobile expertise that could be leverized by adopting a web-scale approach. The key is for carriers to seize the opportunity now before they lose more ground to cloud pioneers like AWS.
David S. Linthicum is a thought leader in cloud computing. He writes the #1 best-selling book on cloud computing, runs the #1 most read blog on cloud computing, and hosts the #1 most listened to podcast on cloud computing. Linthicum's presentation discusses the history and evolution of cloud computing, emerging trends like the rise of big data and the morphing of delivery models. The future of cloud computing includes its absorption into mainstream computing, a focus on security through centralized trust models, and the importance of centralized data and mobile devices. Linthicum recommends investing in PaaS providers, centralized identity management, and the rise of cloud aggregators.
The document discusses the virtualization landscape in the financial industry. It addresses how virtualization relates to cloud computing, the challenges of regulations/standards, sustaining resiliency during flip/flops between production and DR sites, integrating legacy systems, and storage issues. The document also outlines where the industry currently stands with cloud services and active/active setups, and concludes by stating that financial institutions are embracing new technologies but fully embracing public cloud remains uncertain due to regulatory requirements.
Distributed tracing with service meshes and tracing spans across polyglot Mic...Nebulaworks
油
This talk explores distributed tracing as a foundational discipline for understanding Microservices deployments, supporting the core roles of architecture, development, and operations production environments.
The talk builds upon the foundation of Kubernetes, Istio, and Open Tracing, combined with examples from mainstream development frameworks. The examples show how distributed tracing can be enabled and deployed gradually, helping developers and architects deliver better code while operations teams keep their sanity when supporting the product.
Key Takeaways:
* A basic understanding of how distributed tracing relates to a product architecture
*Concrete examples of how to instrument microservices in a Kubernetes environment
*Concrete examples of how to visualize and act upon distribute tracing information
Performing serverless analytics in AWS Glue - ADB202 - Chicago AWS SummitAmazon Web Services
油
The document discusses serverless analytics using AWS Glue. It provides an overview of AWS Glue, describing how it uses Apache Spark and Python shells to enable serverless data science and analytics. It also discusses how AWS Glue supports data discovery, preparation, and orchestration of analytics workflows through its crawlers, data catalog, notebooks, and orchestration capabilities. Customer examples are given that demonstrate how AWS Glue allows cost-effective and scalable serverless analytics without operational overhead.
Cloud computing is an emerging model where data and services are hosted in remote "clouds" accessed through browsers or apps. Google CEO Eric Schmidt discussed this model in 2006, noting its potential is not fully understood. Major companies benefiting include Google, Yahoo, eBay and Amazon. Amazon Web Services are a leading public cloud platform, offering services like EC2, S3, CloudFront and SimpleDB. Challenges include availability, data lock-in, confidentiality, performance unpredictability and software licensing issues.
際際滷s for an introductory workshop on cloud computing for a web app developer audience at FOWA Miami 09 (http://events.carsonified.com/fowa/2009/miami/workshops#workshop_36)
SeattleUniv-IntroductionToCloudComputing-WinsowsAzure101Mithun T. Dhar
油
The document discusses cloud computing and Microsoft Azure. It provides an overview of Azure including its data centers, virtual machines, storage options like blobs and tables, services like App Fabric, and the Fabric Controller which manages virtual instances and load balancing. It also discusses the different roles in Azure like Web Roles and Worker Roles and platforms offered, such as Infrastructure as a Service, Platform as a Service and Software as a Service.
Understanding Traditional AI with Custom Vision & MuleSoft.pptxshyamraj55
油
Understanding Traditional AI with Custom Vision & MuleSoft.pptx | ### 際際滷 Deck Description:
This presentation features Atul, a Senior Solution Architect at NTT DATA, sharing his journey into traditional AI using Azure's Custom Vision tool. He discusses how AI mimics human thinking and reasoning, differentiates between predictive and generative AI, and demonstrates a real-world use case. The session covers the step-by-step process of creating and training an AI model for image classification and object detectionspecifically, an ad display that adapts based on the viewer's gender. Atulavan highlights the ease of implementation without deep software or programming expertise. The presentation concludes with a Q&A session addressing technical and privacy concerns.
TrustArc Webinar - Building your DPIA/PIA Program: Best Practices & TipsTrustArc
油
Understanding DPIA/PIAs and how to implement them can be the key to embedding privacy in the heart of your organization as well as achieving compliance with multiple data protection / privacy laws, such as GDPR and CCPA. Indeed, the GDPR mandates Privacy by Design and requires documented Data Protection Impact Assessments (DPIAs) for high risk processing and the EU AI Act requires an assessment of fundamental rights.
How can you build this into a sustainable program across your business? What are the similarities and differences between PIAs and DPIAs? What are the best practices for integrating PIAs/DPIAs into your data privacy processes?
Whether you're refining your compliance framework or looking to enhance your PIA/DPIA execution, this session will provide actionable insights and strategies to ensure your organization meets the highest standards of data protection.
Join our panel of privacy experts as we explore:
- DPIA & PIA best practices
- Key regulatory requirements for conducting PIAs and DPIAs
- How to identify and mitigate data privacy risks through comprehensive assessments
- Strategies for ensuring documentation and compliance are robust and defensible
- Real-world case studies that highlight common pitfalls and practical solutions
The Future of Repair: Transparent and Incremental by Botond DenesScyllaDB
油
Regularly run repairs are essential to keep clusters healthy, yet having a good repair schedule is more challenging than it should be. Repairs often take a long time, preventing running them often. This has an impact on data consistency and also limits the usefulness of the new repair based tombstone garbage collection. We want to address these challenges by making repairs incremental and allowing for automatic repair scheduling, without relying on external tools.
Inside Freshworks' Migration from Cassandra to ScyllaDB by Premkumar PatturajScyllaDB
油
Freshworks migrated from Cassandra to ScyllaDB to handle growing audit log data efficiently. Cassandra required frequent scaling, complex repairs, and had non-linear scaling. ScyllaDB reduced costs with fewer machines and improved operations. Using Zero Downtime Migration (ZDM), they bulk-migrated data, performed dual writes, and validated consistency.
A Framework for Model-Driven Digital Twin EngineeringDaniel Lehner
油
際際滷s from my PhD Defense at Johannes Kepler University, held on Janurary 10, 2025.
The full thesis is available here: https://epub.jku.at/urn/urn:nbn:at:at-ubl:1-83896
THE BIG TEN BIOPHARMACEUTICAL MNCs: GLOBAL CAPABILITY CENTERS IN INDIASrivaanchi Nathan
油
This business intelligence report, "The Big Ten Biopharmaceutical MNCs: Global Capability Centers in India", provides an in-depth analysis of the operations and contributions of the Global Capability Centers (GCCs) of ten leading biopharmaceutical multinational corporations in India. The report covers AstraZeneca, Bayer, Bristol Myers Squibb, GlaxoSmithKline (GSK), Novartis, Sanofi, Roche, Pfizer, Novo Nordisk, and Eli Lilly. In this report each company's GCC is profiled with details on location, workforce size, investment, and the strategic roles these centers play in global business operations, research and development, and information technology and digital innovation.
Transform Your Future with Front-End Development TrainingVtechlabs
油
Kickstart your career in web development with our front-end web development course in Vadodara. Learn HTML, CSS, JavaScript, React, and more through hands-on projects and expert mentorship. Our front-end development course with placement includes real-world training, mock interviews, and job assistance to help you secure top roles like Front-End Developer, UI/UX Developer, and Web Designer.
Join VtechLabs today and build a successful career in the booming IT industry!
Technology use over time and its impact on consumers and businesses.pptxkaylagaze
油
In this presentation, I explore how technology has changed consumer behaviour and its impact on consumers and businesses. I will focus on internet access, digital devices, how customers search for information and what they buy online, video consumption, and lastly consumer trends.
This is session #4 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.
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Through our innovative solutions, 咋諮駒告駒諮 ю介稲巨諮腫告腫基 has contributed to making governance smarter, faster, and more transparent. This milestone reflects our commitment to driving digital transformation and empowering communities.
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DealBook of Ukraine: 2025 edition | AVentures CapitalYevgen Sysoyev
油
The DealBook is our annual overview of the Ukrainian tech investment industry. This edition comprehensively covers the full year 2024 and the first deals of 2025.
copy & paste もゐ https://filedownloadx.com/download-link/
Wondershare Dr.Fone Crack is a comprehensive mobile phone management and recovery software designed to help users recover lost data, repair system issues, and manage mobile devices. It supports both Android and iOS platforms, offering a wide range of features aimed at restoring files, repairing software problems, and backing up or transferring data.
Just like life, our code must evolve to meet the demands of an ever-changing world. Adaptability is key in developing for the web, tablets, APIs, or serverless applications. Multi-runtime development is the future, and that future is dynamic. Enter BoxLang: Dynamic. Modular. Productive. (www.boxlang.io)
BoxLang transforms development with its dynamic design, enabling developers to write expressive, functional code effortlessly. Its modular architecture ensures flexibility, allowing easy integration into your existing ecosystems.
Interoperability at Its Core
BoxLang boasts 100% interoperability with Java, seamlessly blending traditional and modern development practices. This opens up new possibilities for innovation and collaboration.
Multi-Runtime Versatility
From a compact 6MB OS binary to running on our pure Java web server, CommandBox, Jakarta EE, AWS Lambda, Microsoft Functions, WebAssembly, Android, and more, BoxLang is designed to adapt to any runtime environment. BoxLang combines modern features from CFML, Node, Ruby, Kotlin, Java, and Clojure with the familiarity of Java bytecode compilation. This makes it the go-to language for developers looking to the future while building a solid foundation.
Empowering Creativity with IDE Tools
Unlock your creative potential with powerful IDE tools designed for BoxLang, offering an intuitive development experience that streamlines your workflow. Join us as we redefine JVM development and step into the era of BoxLang. Welcome to the future.
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Free Download Wondershare Filmora 14.3.2.11147 Full Version - All-in-one home video editor to make a great video.Free Download Wondershare Filmora for Windows PC is an all-in-one home video editor with powerful functionality and a fully stacked feature set. Filmora has a simple drag-and-drop top interface, allowing you to be artistic with the story you want to create.Video Editing Simplified - Ignite Your Story. A powerful and intuitive video editing experience. Filmora 10 hash two new ways to edit: Action Cam Tool (Correct lens distortion, Clean up your audio, New speed controls) and Instant Cutter (Trim or merge clips quickly, Instant export).Filmora allows you to create projects in 4:3 or 16:9, so you can crop the videos or resize them to fit the size you want. This way, quickly converting a widescreen material to SD format is possible.
8. re-imagining the Semantic Web
Stop hugging
your data
Sir Tim Berners-Lee, 2009
http://tr.im/timblvideo
cloudofdata.com www.鍖ickr.com/photos/_-amy-_/3167333250/
15. Traditional 3 layer model - there are plenty of others!
all Cloud but DIFFERENT!
Software/Application [as a Service]
(SaaS)
Platform [as a Service]
(PaaS)
Infrastructure [as a Service]
(IaaS)
cloudofdata.com
16. outsource raw infrastructure - avoid
signi鍖cant CapEx
scale to meet demand - Eli Lilly, payroll
SaaS - IBM Blue Cloud
hybrid
PaaS
Infrastructure as a Service (IaaS)
computers (Amazon EC2, Rackspace, GoGrid...)
storage (Amazon S3, MobileMe, Google Drive...)
Elasticity (Rightscale)
Bandwidth (Limelight, Amazon CloudFront)
Electricity
Cooling
etc.
cloudofdata.com
17. does heavy lifting
concentrate on your apps USP
SaaS
Platform as a Service (PaaS)
Salesforce force.com
Apprenda SaaSGrid
Google App Engine
Microsoft Azure
Appistry
Talis Platform
IaaS
cloudofdata.com
18. light weight applications, delivered over Web
mostly low-end disruptors for now...
Software as a Service (SaaS)
Google Apps, Zoho
Acrobat.com, iWork.com
Kash鍖ow, Sage Live
WordPress.com
MobileMe
Salesforce.com
PaaS
IaaS
cloudofdata.com
19. data are at every level of the stack
becomes more important as the
stack commoditises
SaaS
Data
PaaS
IaaS
cloudofdata.com
20. Rode Cloud meme in 2008.
Listen to our podcast.
cloudofdata.com http://tr.im/dzxm
22. Gradual transition to the
Cloud saves money
Includes Private Clouds
But data in ghettos
cloudofdata.com
23. Gradual transition to the
Cloud saves money
Includes Private Clouds
But data in ghettos
cloudofdata.com
24. Gradual transition to the
Cloud saves money
Includes Private Clouds
But data in ghettos
cloudofdata.com
25. Gradual transition to the
Cloud saves money
Includes Private Clouds
But data in ghettos
cloudofdata.com
26. Gradual transition to the
Cloud saves money
Includes Private Clouds
But data in ghettos
cloudofdata.com
27. TimBLs TED talk reminded me of this... Image 息 2008, David Simonds
March 2008 Economist
Remarkably similar to - and different
from - Enterprise data in the Cloud?
cloudofdata.com www.economist.com/business/displaystory.cfm?story_id=10880936
29. The Semantic Web
http://tr.im/鍖qo
cloudofdata.com 敬敬敬.鍖i界一姻.界看馨/沿鞄看岳看壊/糸顎鉛鉛鞄顎稼一/303503677/
30. recent, useful.
ore cast Tom Scott on BBC
includes
ologyf
Techn
al
y journ
arterl
A qu 2009
g
Sprin
32 ateg
y for
I
s str messy B
A CIO king
rethin
eb
20 eman
tic W
sue
In t his is gS
Makin ctions
conne
04 ata W
eb
ad
ning
Spin
cloudofdata.com www.pwc.com/techforecast
31. complex early vision
cloudofdata.com www.sciam.com/article.cfm?id=the-semantic-web
32. complex early vision
http://tr.im/timbl
http://tr.im/hendler
cloudofdata.com www.sciam.com/article.cfm?id=the-semantic-web
33. URI - 1994
XML - 1998
RDF - 1999/ 2004
OWL - 2004
SPARQL - 2008
Applications - 2007/8
cloudofdata.com Image 息 World Wide Web Consortium
35. reaches back to
TimBLs original
vision of the
cloudofdata.com www.鍖ickr.com/photos/tanaka/3212373419/
Read/Write Web
36. the Web done
right
Sir Tim Berners-Lee, 2008
reaches back to
TimBLs original
vision of the
cloudofdata.com www.鍖ickr.com/photos/tanaka/3212373419/
Read/Write Web
39. 際際滷 息 2009, Thomson Reuters
5
Metadata
3 Which provides
1 returned to the
information and
other Linked
Unstructured user with keys Data pointers
Text
4
Keys provide
access to the Calais
Linked Data cloud
2
Calais extracts
entities, facts and To a range of open
6
events and partner Linked
data assets
possibly including
including
Thomson Reuters
TR in the future
cloudofdata.com
41. NSF, JISC etc getting
to grips with massive
data sets
cloudofdata.com www.diggingintodata.org/
42. Amazon - public data free
online, avoiding net work
costs of loading data
cloudofdata.com aws.amazon.com/publicdatasets/
43. Amazon - public data free
online, avoiding net work
costs of loading data
cloudofdata.com aws.amazon.com/publicdatasets/
44. cut costs, mass produce, standardise -
create opportunities for growth
cloudofdata.com www.鍖ickr.com/photos/starrett/3123216825/
45. cut costs, mass produce, standardise -
create opportunities for growth
Data as Commodity
cloudofdata.com www.鍖ickr.com/photos/starrett/3123216825/
46. data is a cost
we treat all data as Core and con鍖dential
most actually Context and a commodity
cloudofdata.com www.鍖ickr.com/photos/dsifry/2104378305/
Think Different!
47. from Data Centre
to data-centric
JP Rangaswami, 2009
data is a cost
we treat all data as Core and con鍖dential
most actually Context and a commodity
cloudofdata.com www.鍖ickr.com/photos/dsifry/2104378305/
Think Different!
48. lots of closed doors
some hide monsters!
presumption is No
presumption should be Yes
cloudofdata.com
49. What if
-crowdsourced address updates
-wisdom of crowds, like GoldCorp mining
data in Canada
-expose some commercial data, in return
cloudofdata.com www.鍖ickr.com/photos/davehamster/531768924/
for bene鍖ts from competitor insight
50. The Data Exhaust
cloudofdata.com www.鍖ickr.com/photos/big-ashb/535904273/
51. common to try to copyright data or to
use a CC license to do the right thing.
Copyright does not apply, and as CC based
on copyright, CC doesnt work either.
息
cloudofdata.com
52. common to try to copyright data or to
use a CC license to do the right thing.
Copyright does not apply, and as CC based
on copyright, CC doesnt work either.
X
息
does not apply
cloudofdata.com
53. Image for illustrative purposes.
I am not applying a CC0 license
to this presentation.
Contract Law works or initiatives opendatacommons.org
cloudofdata.com
such as CC0 and Open Data Commons. wiki.creativecommons.org/CCZero
57. most data context not core
but we apply one size 鍖ts all thinking
move from a presumption of No to a presumption of Yes
data as commodity; can we let go?
cloudofdata.com
58. most data context not core
but we apply one size 鍖ts all thinking
move from a presumption of No to a presumption of Yes
data as commodity; can we let go?
Semantic Web thinking lets us address data at Web scale
the primacy of the link
cloudofdata.com
59. 沿鉛艶温壊艶
Even NYT did last week
Stop hugging
your data
Sir Tim Berners-Lee, 2009
cloudofdata.com www.鍖ickr.com/photos/scobleizer/2510349462/
60. cloud of data
Thank you Download this presentation
slideshare.net/cloudofdata
Dr Paul Miller
The Cloud of Data
paul.miller@cloudofdata.com
Made on a
skype: cloudofdata
Mac
phone: +44 7769 740083
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