In recent era cloud is appear as a backbone of business strategies. Businesses are continuously researching and exploring various methods to use cloud technologies to achieve business goals in faster and cost-effective ways.
Cloud computing, edge computing, is a kind of conflict, a convergence of views. Take a look at the technology trends of edge computing, also Let's take a look at what it's like to look at cloud computing
When the world changes, it brings both disruption and progress. Cloud computing is rightly emerging as the key technology trend of 2021 and is becoming a technology of choice across industries for driving the app-based technology ecosystem. From healthcare to education, and from manufacturing to gaming, every industry is moving its IT infrastructure to the cloud. This presentation captures the future trends in cloud computing that we think will drive the cloud revolution in 2021.
Extentia® is a global technology and services firm that helps clients transform and realize their digital strategies. With a unique Experience Centric Transformation approach, our ground-breaking solutions are in the space of mobile, cloud, and design. Our team is differentiated by an emphasis on excellent design skills that they bring to every project. Focused on enterprise mobility, cloud computing, and user experiences, we strive to accomplish and surpass their customers’ business goals. Our inclusive work environment and culture inspire team members to be innovative and creative and to provide clients with an exceptional partnership experience.
Expand your digital horizons with us. We will help you transform your business and surpass your goals.
Write to us at inquiries@extentia.com
https://www.extentia.com/
Smart Factory Using Smart ManufacturingSatjitkumar
The goal of smart manufacturing is to create smart factories – factories of the future or Intelligent factories. There are many advances in methods and concepts of smart manufacturing, due to the research and development efforts in the past 10 years.
Cloud computing, edge computing, is a kind of conflict, a convergence of views. Take a look at the technology trends of edge computing, also Let's take a look at what it's like to look at cloud computing
When the world changes, it brings both disruption and progress. Cloud computing is rightly emerging as the key technology trend of 2021 and is becoming a technology of choice across industries for driving the app-based technology ecosystem. From healthcare to education, and from manufacturing to gaming, every industry is moving its IT infrastructure to the cloud. This presentation captures the future trends in cloud computing that we think will drive the cloud revolution in 2021.
Extentia® is a global technology and services firm that helps clients transform and realize their digital strategies. With a unique Experience Centric Transformation approach, our ground-breaking solutions are in the space of mobile, cloud, and design. Our team is differentiated by an emphasis on excellent design skills that they bring to every project. Focused on enterprise mobility, cloud computing, and user experiences, we strive to accomplish and surpass their customers’ business goals. Our inclusive work environment and culture inspire team members to be innovative and creative and to provide clients with an exceptional partnership experience.
Expand your digital horizons with us. We will help you transform your business and surpass your goals.
Write to us at inquiries@extentia.com
https://www.extentia.com/
Smart Factory Using Smart ManufacturingSatjitkumar
The goal of smart manufacturing is to create smart factories – factories of the future or Intelligent factories. There are many advances in methods and concepts of smart manufacturing, due to the research and development efforts in the past 10 years.
Edge computing allows data produced by internet of things (IoT) devices to be processed closer to where it is created instead of sending it across long routes to data centers or clouds.
Doing this computing closer to the edge of the network lets organizations analyze important data in near real-time – a need of organizations across many industries, including manufacturing, health care, telecommunications and finance.Edge computing deployments are ideal in a variety of circumstances. One is when IoT devices have poor connectivity and it’s not efficient for IoT devices to be constantly connected to a central cloud.
Other use cases have to do with latency-sensitive processing of information. Edge computing reduces latency because data does not have to traverse over a network to a data center or cloud for processing. This is ideal for situations where latencies of milliseconds can be untenable, such as in financial services or manufacturing.
Fog computing, also known as fogging/edge computing, it is a model in which data, processing and applications are concentrated in devices at the network edge rather than existing almost entirely in the cloud.
The term "Fog Computing" was introduced by the Cisco Systems .
Its extended from cloud
Edge Computing is transforming the way data is being handled, processed, and delivered from millions of devices around the world.
“ A part of a distributed computing topology in which information processing is located close to the edge- where things and people produce or consume that information”
Cloud Computing for college presenation project.Mahesh Tibrewal
This presentation I've made on Cloud computing can be used by students for their college projects. I've tried to make this as colourful and attractive as possible without losing the relevance with the topic.
Cloud computing is a releasing individual and institutions from the traditional cvcle of buying-using-maintaining-upgrading IT resourcs - both hardware and software. Instead it is making IT resource accessible from anywhere and at proportions as required by the end user. Here is a brief introduction to this new transformation
Edge computing allows data produced by internet of things (IoT) devices to be processed closer to where it is created instead of sending it across long routes to data centers or clouds.
Doing this computing closer to the edge of the network lets organizations analyze important data in near real-time – a need of organizations across many industries, including manufacturing, health care, telecommunications and finance.Edge computing deployments are ideal in a variety of circumstances. One is when IoT devices have poor connectivity and it’s not efficient for IoT devices to be constantly connected to a central cloud.
Other use cases have to do with latency-sensitive processing of information. Edge computing reduces latency because data does not have to traverse over a network to a data center or cloud for processing. This is ideal for situations where latencies of milliseconds can be untenable, such as in financial services or manufacturing.
Fog computing, also known as fogging/edge computing, it is a model in which data, processing and applications are concentrated in devices at the network edge rather than existing almost entirely in the cloud.
The term "Fog Computing" was introduced by the Cisco Systems .
Its extended from cloud
Edge Computing is transforming the way data is being handled, processed, and delivered from millions of devices around the world.
“ A part of a distributed computing topology in which information processing is located close to the edge- where things and people produce or consume that information”
Cloud Computing for college presenation project.Mahesh Tibrewal
This presentation I've made on Cloud computing can be used by students for their college projects. I've tried to make this as colourful and attractive as possible without losing the relevance with the topic.
Cloud computing is a releasing individual and institutions from the traditional cvcle of buying-using-maintaining-upgrading IT resourcs - both hardware and software. Instead it is making IT resource accessible from anywhere and at proportions as required by the end user. Here is a brief introduction to this new transformation
Cloud Computing at a Glance, the Vision of Cloud Computing, Defining a Cloud, A Closer Look, Cloud Computing Reference Model, Characteristics and Benefits, Challenges Ahead, Historical Developments. Virtualization: Introduction, Characteristics of Virtualized Environment, Taxonomy of Virtualization Techniques, Virtualization and Cloud computing, Pros and Cons of Virtualization, Technology Examples- VMware and Microsoft Hyper-V.
Spread Computation Workloads Across Multiple Platforms With Distributed Cloud Techahead Software
Demand for distributed cloud and edge computing is changing as more applications need to process large amounts of data in real time. Many digital transformation agencies are seeing distributed cloud as the next generation of cloud computing, as it has many advantages over its rivals.
Source: https://www.jetsweekly.com/technology/4576/spread-computation-workloads-across-multiple-platforms-with-distributed-cloud/
On the Cloud? Data Integrity for Insurers in Cloud-Based PlatformsPrecisely
In our undeniably digital world, data is one of the most precious assets in business. This is especially true for the insurance industry, which is why many are leveraging modern cloud-based platforms to improve performance, reduce costs, and capitalize on new opportunities to innovate. While all industries feel the pressure to preserve or enhance the integrity of their data through their cloud migration initiatives, insurers are especially impacted given how crucial data is to their operation. With their high volumes of claims, policies, and premiums, an ineffective approach to data quality and validation, not only slows down cloud migration but leaves organizations open to threats and risk. Although there is no one-size-fits-all solution for implementing and maintaining data integrity for insurance companies, ensuring the potential to extract value from their data is maximized is universal.
If you are thinking of moving into a cloud platform or wondering what is next, join us to learn about:
Integrating data silos and ensuring better securityLeveraging data observability to proactively identify data issues before they impact the businessDelivering quality data attributes that are trusted and fit for purposeEnhancing business data through data enrichment and location intelligence solutions to unlock valuable, hidden context, and reveal critical relationships transforming raw data into actionable insights
Revolutionizing IT infrastructure and flexibility, Cloud Computing has created a range of career opportunities for Cloud Computing skilled professionals.
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.
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.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
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.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
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
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.
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.
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.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
2. • Most modernized and forward-looking businesses are operating inside the
cloud.
• Remote data approachability from any part of the world is one of the
biggest pros of adopting cloud computing.
• Other reasons behind the overwhelming shift of enterprises to the cloud
are- high scalability, optimized costs, enhanced data encryption, greater
collaboration, etc.
3. • Gartner has anticipated that
by 2022, 90 percent of
businesses will employ
cloud services.
• Statista has estimated that
the international market
revenue of the public cloud
will exceed 278.3 U.S.
dollars in 2021.
4. • There will be an impressive hike in cloud spending with the adoption of
advanced cloud mechanisms and services by more and more enterprises.
• The cloud technology has strongly created the foundation of digital
transformation.
• In 2019, cloud migration, Texas will encompass hi-end cloud solutions for
highly optimized businesses.
5. • It efficiently blends the abilities of public and private clouds.
• Public clouds help to save expenses, but they cannot guarantee enough
security, whereas, the more secure private clouds are costlier to
maintain. The juxtaposition of both forms a hybrid cloud, which is cost-
effective, highly protected and greatly scalable at the same time.
Hybrid Cloud is Predicted to be the Preeminent Business Model in
the Upcoming Days
6. Multi-cloud Usage Will Rise in 2019
• Multi-cloud helps businesses to direct and manage workloads on private,
open and hybrid clouds, based on requirements.
• The multi-cloud concept allows a company to have several public, private
and hybrid clouds, which may or may not be connected to each other.
• Multi-clouds will guarantee improved management of data and
streamlined employee administration.
7. Serverless Computing Will be Employed More
• Serverless architectures will gain momentum, since these infrastructures
eliminate the dependency on an external operating system or server.
• The serverless computing services are generally borrowed from a third-
party cloud supplier. The users demand a PaaS container. There is no
need to configure these services separately. The cloud provider is the sole
manager of everything, from providing the cloud platform to configuring
it.
• This kind of architecture has a with a lot of merits like cost-effectiveness,
excellent scalability, faster deployment, etc.
8. Containerization Will Get Simpler in 2019
• Containers assist in swift and easy data transfer, maintenance of virtual
objects, etc.
• These also help in solving software operation reliably issues during the
data transfer from one system to another.
9. The Bond Between AI and Cloud Will Strengthen
• The amalgam of cloud computing and AI is called intelligent cloud
computing.
• AI assists in the efficient management of huge data chunks within the
cloud. Machine Learning and Big Data have facilitated precise, accurate
and error-free Data-Driven Decisions(DDD).
• AI has enabled automated, stupendously swift and error-free building,
deployment and maintenance within the cloud networks.
• It is believed by 50 percent of IT professions that AI and machine learning
are the driving factors behind the increasing incorporation of cloud
computing. This is estimated to grow to 67 percent by 2020.
10. 2019 is Foreseen to Witness a Significant Usage of
Edge Computing
• Edge computing is a distributed computing concept, that distributes
computing nodes in the network as IoT devices, that are at the network's
edge.
• Edge computing assists in methodizing cloud computing to ensure data
processing and data analysis real-time.
• The demand for edge computing has also sprung from the rise in the
usage of IoT devices.
• Edge computing ensures utmost efficiency in the flow of traffic from IoT
devices.
11. Streamlined Microservice Communication With Service
Mesh
• Service mesh enhances management and communication of microservice
applications in a cloud network.
• Since cloud environments are increasingly incorporating microservices
and rapidly adopting containerization, service meshes are gaining
prevalence.
• Service meshes diminish container complexities and improve the
functionality of the network.
12. • The best cloud service providers are already employing one or more of
these cloud mechanisms.
• Businesses are redefining themselves by merging cloud environments
with their on-premise systems, giving way to merged ecosystems.
13. Get In Touch
Intelebee
Address: 15302 Dorothy Drive, Austin, TX-78734
Ph: (737) 484-2968 (U.S.A)
Mail: sales@intelebee.com
www.intelebee.com