iot-talk.pptx
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The document discusses the Internet of Things (IoT), which connects physical objects through sensors and networks. It notes that currently only 1% of physical objects are connected, but that number could grow to 50-100 trillion connected objects. Examples of IoT applications discussed include infrastructure management, manufacturing, transportation, healthcare, and more. Issues raised include privacy, security, and electronic waste. The Berlin Brandenburg International Airport project is used to illustrate potential problems, as it went vastly over budget and behind schedule due to mismanagement.
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The document provides an overview of the Internet of Things (IoT), including:
- A definition of IoT as interconnected devices that can transfer data over a network without human interaction.
- An explanation of how IoT works with sensors collecting data that is sent to the cloud for processing and made available to users through interfaces.
- Examples of common IoT devices like smart lightbulbs, thermostats, and activity trackers.
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The document provides an overview of the Internet of Things (IoT), including:
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Iot-Internet-of-Things-ppt.pptx
The document provides an overview of the Internet of Things (IoT), including:
- A definition of IoT as interconnected devices that can transfer data over a network without human interaction.
- An explanation of how IoT works with sensors collecting data that is sent to the cloud for processing and made available to users through interfaces.
- Examples of common IoT devices like smart lightbulbs, thermostats, and activity trackers.
- Benefits to organizations like improved processes, customer experience, and business decisions.
- The importance of IoT for seamless communication between people, processes and things using data and analytics.
- Applications such as smart thermostats, connected cars
Iot-Internet-of-Things-ppt.pptx
The document provides an overview of the Internet of Things (IoT), including:
- A definition of IoT as interconnected computing devices that can transfer data over a network without human interaction.
- An explanation of how IoT works with sensors collecting data that is sent to the cloud for processing and made available to users.
- Examples of IoT devices like smart lightbulbs and sensors, and potential benefits to organizations like cost savings and improved decision making.
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This document provides an overview of the Internet of Things (IoT), including its history, definition, how it works, examples of IoT devices, benefits to organizations, importance, applications, challenges, and advantages and disadvantages. It discusses how IoT works through sensors that collect data, connectivity to send data to the cloud, data processing, and user interfaces. Some key IoT applications mentioned include smart thermostats, connected cars, activity trackers, and smart cities. The document also outlines challenges around testing, security, software complexity, and data volumes, as well as advantages such as access to information from anywhere and automating tasks.
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We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Mind map of terminologies used in context of Generative AI
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Uni Systems Copilot event_05062024_C.Vlachos.pdf
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Essentials of Automations: The Art of Triggers and Actions in FME
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Building Production Ready Search Pipelines with Spark and Milvus
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iot-talk.pptx
- 1. Internet of Things: 50 Billions Devices Jam Prabhas Chongstitvatana Chulalongkorn University July 2015
- 2. • IoT = Internet of Everything • M2M • Next information revolution
- 3. • 1% of physical world is connected to Internet • Huge potential • Potentials • innovative business process • operational efficiency • new customer services
- 4. What is IoT • Network of Physical Objects • embedded systems with electronics, software, sensors • enable objects to exchange data with manufacturer, operator, other devices through network infrastructure
- 5. • allow remote control • direct integration computer + physical world • Result: automation in all fields
- 6. Applications • Media • Environmental monitoring • Infrastructure management • Manufacturing • Energy management • Medical and health care systems • Building and home automation • Transportation
- 7. A bit of history • The term "Internet of Things" is coined by Kevin Ashton 1999. • Early example, 1982, Coke machine at Carnegie Mellon University was connected to internet: report its inventory and temperature
- 8. Applications (cont.) • Media IoT + Big Data – = target advertisement to customized content • Infrastructure management – monitoring structural condition, scheduling maintenance • Waste management • Safety management • Example: German Airport Problems
- 9. Applications (cont.) • Manufacturing – monitoring product demand – real-time manufacturing production – manage supply chain network
- 10. Large Scale examples • Smart city • Songdo, South Korea • Santander, Spain – 10,000 sensors: parking search, environmental monitoring etc. • San Francisco Bay area • wireless sensors data network • New York waterways
- 11. Detailed examples • Padova Smart City Project, Italy • wearable: Pedometer data
- 13. Berlin Brandenburg International Airport • 600 million euros project • schedule to be opened in June 2012, now expected to be completed in 2017 • “Just months before the scheduled June 2012 opening, the terminal was a mess. Careless workers stepped on and shattered glass being installed by other companies. Heavy equipment rolled across the terminal floor, scratching expensive tiles. Tempers flared; small contractors complained they weren’t getting paid and threatened to walk off the job.”
- 14. Technology roadmap • 50-100 Trillion objects, • each person carries 1000-5000 trackable objects • computer manage and inventory objects and people • transform daily life • bottom up, convergence of data from IoT into applications, web-of-things
- 15. Impact • Civic engagement • Privacy, autonomy and control • technology <> just tools • technology = active agent • IoT = Human augmentation (Tim O Reilly) • data-driven decision making
- 16. Impact (cont.) • Security • cyber attack in Physical world • spy on people in their own homes • Increase in electronics waster 10x
- 17. Trending • Cisco IoT Grand Challenge • IoT World Forum in Dubai
- 18. References • Zanella, Andrea; Bui, Nicola; Castellani, Angelo; Vangelista, Lorenzo & Zorzi, Michele. "Internet of Things for Smart Cities". IEEE Internet of Things Journal, VOL. 1, NO. 1, FEBRUARY 2014. • https://en.wikipedia.org/wiki/Internet_of_Things • http://www.bloomberg.com/news/features/2015-07- 23/how-berlin-s-futuristic-airport-became-a-6-billion- embarrassment • this presentation link • http://bit.ly/1IlLNoe • Or search : “Prabhas Chongstitvatana”