Cloud Computing is a general term used to describe a new class of network based computing that takes place over the Internet,
a collection/group of integrated and networked hardware, software and Internet infrastructure.
provides hardware, software and networking services to clients.
These platforms (networked hardware) hide the complexity to provide a very simple service.
This Software as a Service (SaaS) presentation by InTechnology's Stefan Haase, looks at InTechnology’s best-in-class SaaS solutions and how these highly secure, scalable and reliable Cloud services provide your business with the infrastructure, software and expertise to free up your IT team, increase business performance and reduce total cost of ownership. http://www.intechnology.co.uk/resource-centre/webcast-software-as-a-service.aspx
This slide is about detecting concealed object from images using Search Identification Network (SINet) just like predator searches its prey and identifies it.
Cloud Computing is a general term used to describe a new class of network based computing that takes place over the Internet,
a collection/group of integrated and networked hardware, software and Internet infrastructure.
provides hardware, software and networking services to clients.
These platforms (networked hardware) hide the complexity to provide a very simple service.
This Software as a Service (SaaS) presentation by InTechnology's Stefan Haase, looks at InTechnology’s best-in-class SaaS solutions and how these highly secure, scalable and reliable Cloud services provide your business with the infrastructure, software and expertise to free up your IT team, increase business performance and reduce total cost of ownership. http://www.intechnology.co.uk/resource-centre/webcast-software-as-a-service.aspx
This slide is about detecting concealed object from images using Search Identification Network (SINet) just like predator searches its prey and identifies it.
Depth of neural network is crucial for its success. However, network training becomes more difficult with increasing depth. New architecture designed to ease gradient-based training of very deep network is highway network.
Shape Preserving Interpolation Using C2 Rational Cubic SplineAdarshaDhakal
Linear interpolation, cubic interpolation, rational cubic spline with positivity, monotony and convexity preserving technique and shape preserving interpolation.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
3. CLOUD
• Just a big building filled with computers (servers)
• Servers are just computer that provides services on behalf of clients
• Big building = Data centers
• Data centers = Collection of many servers which performs numerous
tasks such as running applications, storing data, data processing, web
hosting which are networked together
• Cloud providers are companies who provides these cloud and their
purpose is to sell their computers as a service
4. CLOUD COMPUTING
• Network based utility computing that takes place over the Internet
• Provides services like data storage, servers, databases, networking, and
software.
• Provides on demand services, that are always on, anywhere, anytime and any
place (ubiquitous)
• Pay for use and as needed i.e scalable
• Services are available to general public, enterprises, corporations and
businesses markets
• Hides the complexity and details of the underlying infrastructure from users
and applications by providing very simple graphical interface or API
(Applications Programming Interface).
5.
6. BEFORE CLOUD!
• Organizations had to build and maintain their own IT infrastructure to
support their business operations. This included investing in servers,
storage devices, networking equipment, and other hardware and
software components to support their applications and data. (On-
premise)
• Very costly
• Had to predict requirements
• Requires intelligent manpower
• Wastage of Resources
11. SERVICE MODEL/ CLOUD REFERENCE
MODEL
SaaS (End Users) : Consume
PaaS (Application Developers) : Build
IaaS
(Network Architects)
Host
12. SOFTWARE AS A SERVICE
• Software that is accessed via a web browser
• Generally paid on subscription basis
• No need to buy license purchase, maintance headache and installation
• No hardware implementation from customer’s side
• SaaS vendor manage and run the application with utmost security,
performance and reliability
• Highly automated business process
• Designed to run thousands of different customers on a single code
• Applications are hosted in ”the cloud”
• Examples: Google, Gmail, Netflix, Dropbox etc
14. ADVANTAGES
• No additional hardware costs
• No initial setup costs
• Pay for what you use
• Usage is scalable
• Updates are automated
• Cross device compatibility
• Accessible from any location
15. DRAWBACKS
• Security and confidentiality
• Risk of data loss
• Dependence on high speed internet
• Low predictability of cost
• Not all applications have SaaS versions yet
• In many cases SaaS versions may not be as powerful as non SaaS ones (
SaaS versions are stripped down versions of powerful non-SaaS product
)
16. PLATFORM AS A SERVICE
• Basically a platform (could be tools, software, middleware etc) that sits
on Infrastructure and is used for coding and deploying the applications.
• Provides a platform and environment to allow developers to build
applications and services over the internet.
• Includes application design, development, deployment, testing and
hosting
• Software developers, web developers and businesses can benefit from
PaaS
• Examples: Heroku, IBM cloud, AWS elastic beanstalk etc
19. INFRASTRUCTURE AS A SERVICE
• Commonly known as hardware as a service
• Organization outsources the equipment used to support operations,
including storage, hardware, servers and networking components
• Service provider owns the equipment and is responsible for housing,
running and maintaining it
• Client typically pays on a per-use basics
• Example: AWS EC2, Microsoft Azure, Google cloud, Digital Ocean etc.
20. ADVANTAGES
• Improved cash flow
• Support og uncertain provision planning
• Transparent metering and self-service management
• Dynamic Scaling
23. CHALLENGES OF CLOUD COMPUTING
• Security, Privacy and Trust : Data Leakage
• Availability, Fault-Tolerance and Disaster Recovery
• Vendor lock-in
• Insecure Interfaces
• Lack of visibility
• Resource Management and Energy Efficiency
24. CLOUD SERVICE REQUIREMENTS
• Compatibility with Heterogenous System
• Service Management
• Reliability Availability and Security
• Integration
• Disaster Recovery
• Control
