Cloudonomics is much more than just
capital expenditure savings. One can
define it as the operational savings
that are generated by crossing over
the constant hardware and software
update roundabout.
Hadoop MapReduce is an open source framework for distributed processing of large datasets across clusters of computers. It allows parallel processing of large datasets by dividing the work across nodes. The framework handles scheduling, fault tolerance, and distribution of work. MapReduce consists of two main phases - the map phase where the data is processed key-value pairs and the reduce phase where the outputs of the map phase are aggregated together. It provides an easy programming model for developers to write distributed applications for large scale processing of structured and unstructured data.
This presentation gives a detailed overview about Cloud Computing, its features and challenges faced by it in the market. It gives an insight into cloud security and privacy issues and its measures.
Slides for a discussion about Cloud Computing organised by the Isle of Man Branch of the BCS in September 2012. These slides introduce Cloud Computing, delve into some detail on Mcirosoft Azue and Amazon Web Services and pose some questions as to suitability, consideration and risks to be discussed. This talk was presented by Arron Clague from Synapse Consulting and Owen Cutajar from Intelligence Ltd
This document discusses load balancing, which is a technique for distributing work across multiple computing resources like CPUs, disk drives, and network links. The goals of load balancing are to maximize resource utilization, throughput, and response time while avoiding overloads and crashes. Static load balancing involves preset mappings, while dynamic load balancing distributes workload in real-time. Common load balancing algorithms are round robin, least connections, and response time-based. Server load balancing distributes client requests to multiple backend servers and can operate in centralized or distributed architectures using network address translation or direct routing.
This document summarizes the state of research in service-oriented computing. It discusses key concepts like service-oriented architecture (SOA) and how it promotes assembling application components into a loosely coupled network of services. The document outlines research challenges in areas like service foundations (discovery, binding etc.), composition, management/monitoring, and design/development. It provides examples of the current state of research on topics like enterprise service buses, self-managing services, and engineering service applications.
Hadoop MapReduce is an open source framework for distributed processing of large datasets across clusters of computers. It allows parallel processing of large datasets by dividing the work across nodes. The framework handles scheduling, fault tolerance, and distribution of work. MapReduce consists of two main phases - the map phase where the data is processed key-value pairs and the reduce phase where the outputs of the map phase are aggregated together. It provides an easy programming model for developers to write distributed applications for large scale processing of structured and unstructured data.
This presentation gives a detailed overview about Cloud Computing, its features and challenges faced by it in the market. It gives an insight into cloud security and privacy issues and its measures.
Slides for a discussion about Cloud Computing organised by the Isle of Man Branch of the BCS in September 2012. These slides introduce Cloud Computing, delve into some detail on Mcirosoft Azue and Amazon Web Services and pose some questions as to suitability, consideration and risks to be discussed. This talk was presented by Arron Clague from Synapse Consulting and Owen Cutajar from Intelligence Ltd
This document discusses load balancing, which is a technique for distributing work across multiple computing resources like CPUs, disk drives, and network links. The goals of load balancing are to maximize resource utilization, throughput, and response time while avoiding overloads and crashes. Static load balancing involves preset mappings, while dynamic load balancing distributes workload in real-time. Common load balancing algorithms are round robin, least connections, and response time-based. Server load balancing distributes client requests to multiple backend servers and can operate in centralized or distributed architectures using network address translation or direct routing.
This document summarizes the state of research in service-oriented computing. It discusses key concepts like service-oriented architecture (SOA) and how it promotes assembling application components into a loosely coupled network of services. The document outlines research challenges in areas like service foundations (discovery, binding etc.), composition, management/monitoring, and design/development. It provides examples of the current state of research on topics like enterprise service buses, self-managing services, and engineering service applications.
CloudSim is a framework for modeling and simulating cloud computing infrastructures and services. It allows modeling of datacenters, virtual machines, hosts, and workloads. Key components include data centers, hosts, virtual machines, brokers, and cloudlets. It supports modeling of policies for resource provisioning and scheduling.
Public vs private vs hybrid cloud what is best for your business-Everdata Technologies
The document discusses public, private, and hybrid cloud options and which may be best for a business. A public cloud provides resources over the internet on a pay-per-use model but offers less customization and security. A private cloud has extensive security and customization options but requires significant investment. A hybrid cloud combines the strengths of public and private clouds by using public cloud resources during spikes in private cloud usage. The best option depends on a business's needs - public cloud suits smaller businesses needing quick solutions, private cloud suits businesses with regulatory requirements, and hybrid cloud suits businesses with unpredictable traffic fluctuations.
This document provides an overview of the Hadoop MapReduce Fundamentals course. It discusses what Hadoop is, why it is used, common business problems it can address, and companies that use Hadoop. It also outlines the core parts of Hadoop distributions and the Hadoop ecosystem. Additionally, it covers common MapReduce concepts like HDFS, the MapReduce programming model, and Hadoop distributions. The document includes several code examples and screenshots related to Hadoop and MapReduce.
Security in Clouds: Cloud security challenges – Software as a
Service Security, Common Standards: The Open Cloud Consortium – The Distributed management Task Force – Standards for application Developers – Standards for Messaging – Standards for Security, End user access to cloud computing, Mobile Internet devices and the cloud. Hadoop – MapReduce – Virtual Box — Google App Engine – Programming Environment for Google App Engine.
Modern Network Operations with no Myths on SaaS, IaaS and PaaS discusses cloud computing characteristics such as massive, abstracted infrastructure and dynamic allocation of applications. It defines cloud services as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The document also outlines cloud architecture types including public, private, and hybrid clouds. It analyzes the cloud computing market and opportunities for enterprises and software developers in utilizing public and private cloud services.
Cloud Computing Principles and Paradigms: 4 the enterprise cloud computing pa...Majid Hajibaba
This document discusses the enterprise cloud computing paradigm. It covers cloud computing principles like on-demand self-service, broad network access, resource pooling, and rapid elasticity. It also discusses cloud deployment models including public clouds, private clouds, virtual private clouds, community clouds, managed clouds, and hybrid clouds. Finally, it discusses issues for enterprise applications in the cloud, transition challenges, and the evolution of enterprise cloud technology and markets.
Describes a knowledge agenda that extends knowledger management beyond it's traditional boundaries in an organizational context. Considers the extent to which knowledge and knowledge work can be managed.
Aneka clouds can be built using either an infrastructure or logical organization model. The infrastructure model uses components like repositories, management consoles, containers and node managers. The logical model separates services like storage, indexing and execution across master, worker and storage nodes. Aneka supports private, public and hybrid cloud deployment modes which can utilize internal infrastructure alone or combine it with external cloud providers.
The success of application deployment on cloud depends a lot on the architecture style which in turn depends on your business needs. This presentation talks about the commonly used Architecture and business use cases.
Just created a slideshare presentation giving a basic introduction to the Confidentiality, Integrity & Availability (CIA) Security Model. You can see more slideshows on http://www.slideshare.net/ImranahmedIT or visit my website: http://imran-ahmed.co.uk
This document discusses cloud security and provides an overview of McAfee's cloud security solutions. It summarizes McAfee's cloud security program, strengths, weaknesses, opportunities, threats, and competitors in the cloud security market. It also discusses Netflix's migration to the cloud for its infrastructure and content delivery and outlines Netflix's cloud security strategy.
MapReduce is a programming framework that allows for distributed and parallel processing of large datasets. It consists of a map step that processes key-value pairs in parallel, and a reduce step that aggregates the outputs of the map step. As an example, a word counting problem is presented where words are counted by mapping each word to a key-value pair of the word and 1, and then reducing by summing the counts of each unique word. MapReduce jobs are executed on a cluster in a reliable way using YARN to schedule tasks across nodes, restarting failed tasks when needed.
Slide on Cloud Security. This defines the possible aspects on Cloud Security. Images are taken from different Websites which are mentioned on references section.
This document discusses efficient analysis of big data using the MapReduce framework. It introduces the challenges of analyzing large and complex datasets, and describes how MapReduce addresses these challenges through its map and reduce functions. MapReduce allows distributed processing of big data across clusters of computers using a simple programming model.
Need for Virtualization – Pros and cons of Virtualization – Types of Virtualization –System VM, Process VM, Virtual Machine monitor – Virtual machine properties - Interpretation and binary translation, HLL VM - supervisors – Xen, KVM, VMware, Virtual Box, Hyper-V.
This document discusses the history and definitions of cloud computing. It begins with various definitions of cloud computing from Wikipedia between 2007-2009 which evolved to emphasize dynamically scalable virtual resources provided over the internet. It then covers common characteristics of cloud computing like multi-tenancy, location independence, pay-per-use pricing and rapid scalability. The rest of the document details cloud computing models including public, private and hybrid clouds. It also outlines the different architectural layers of cloud computing from Software as a Service to Infrastructure as a Service. The document concludes with a discussion of security issues in cloud computing and a case study of security features in Amazon Web Services.
This document provides an overview of big data and Hadoop. It discusses why Hadoop is useful for extremely large datasets that are difficult to manage in relational databases. It then summarizes what Hadoop is, including its core components like HDFS, MapReduce, HBase, Pig, Hive, Chukwa, and ZooKeeper. The document also outlines Hadoop's design principles and provides examples of how some of its components like MapReduce and Hive work.
Map reduce - simplified data processing on large clustersCleverence Kombe
The document describes MapReduce, a programming model and software framework for processing large datasets in a distributed computing environment. It discusses how MapReduce allows users to specify map and reduce functions to parallelize tasks across large clusters of machines. It also covers how MapReduce handles parallelization, fault tolerance, and load balancing transparently through an easy-to-use programming interface.
How the Cloud is Revolutionizing the Retail IndustryRaymark
The document discusses how cloud computing is revolutionizing the retail industry. It describes how the cloud model provides retailers with cost efficiency through reduced IT costs, scalability to adapt to changing demand, and reliability through redundant resources and easy migration of services. The cloud allows retailers to focus on their core business instead of maintaining their own IT systems. It provides quick deployment of new software and services. Major retailers are seeing benefits such as increased revenue and profit margins from cloud-based systems.
This document discusses the shift from traditional IT to cloud computing. It argues that the shift is driven more by economics than technology. Specifically, cloud computing allows organizations to convert fixed IT costs to variable costs and gain scalability. While the technology enabling cloud computing has existed since the late 1990s, factors like virtualization and the economic downturn created conditions for the model to take hold. The document outlines steps organizations can take to optimize their current IT and transition to cloud computing models, whether internal or external clouds. It also discusses opportunities for traditional service providers to participate in and help enable the cloud computing market.
CloudSim is a framework for modeling and simulating cloud computing infrastructures and services. It allows modeling of datacenters, virtual machines, hosts, and workloads. Key components include data centers, hosts, virtual machines, brokers, and cloudlets. It supports modeling of policies for resource provisioning and scheduling.
Public vs private vs hybrid cloud what is best for your business-Everdata Technologies
The document discusses public, private, and hybrid cloud options and which may be best for a business. A public cloud provides resources over the internet on a pay-per-use model but offers less customization and security. A private cloud has extensive security and customization options but requires significant investment. A hybrid cloud combines the strengths of public and private clouds by using public cloud resources during spikes in private cloud usage. The best option depends on a business's needs - public cloud suits smaller businesses needing quick solutions, private cloud suits businesses with regulatory requirements, and hybrid cloud suits businesses with unpredictable traffic fluctuations.
This document provides an overview of the Hadoop MapReduce Fundamentals course. It discusses what Hadoop is, why it is used, common business problems it can address, and companies that use Hadoop. It also outlines the core parts of Hadoop distributions and the Hadoop ecosystem. Additionally, it covers common MapReduce concepts like HDFS, the MapReduce programming model, and Hadoop distributions. The document includes several code examples and screenshots related to Hadoop and MapReduce.
Security in Clouds: Cloud security challenges – Software as a
Service Security, Common Standards: The Open Cloud Consortium – The Distributed management Task Force – Standards for application Developers – Standards for Messaging – Standards for Security, End user access to cloud computing, Mobile Internet devices and the cloud. Hadoop – MapReduce – Virtual Box — Google App Engine – Programming Environment for Google App Engine.
Modern Network Operations with no Myths on SaaS, IaaS and PaaS discusses cloud computing characteristics such as massive, abstracted infrastructure and dynamic allocation of applications. It defines cloud services as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The document also outlines cloud architecture types including public, private, and hybrid clouds. It analyzes the cloud computing market and opportunities for enterprises and software developers in utilizing public and private cloud services.
Cloud Computing Principles and Paradigms: 4 the enterprise cloud computing pa...Majid Hajibaba
This document discusses the enterprise cloud computing paradigm. It covers cloud computing principles like on-demand self-service, broad network access, resource pooling, and rapid elasticity. It also discusses cloud deployment models including public clouds, private clouds, virtual private clouds, community clouds, managed clouds, and hybrid clouds. Finally, it discusses issues for enterprise applications in the cloud, transition challenges, and the evolution of enterprise cloud technology and markets.
Describes a knowledge agenda that extends knowledger management beyond it's traditional boundaries in an organizational context. Considers the extent to which knowledge and knowledge work can be managed.
Aneka clouds can be built using either an infrastructure or logical organization model. The infrastructure model uses components like repositories, management consoles, containers and node managers. The logical model separates services like storage, indexing and execution across master, worker and storage nodes. Aneka supports private, public and hybrid cloud deployment modes which can utilize internal infrastructure alone or combine it with external cloud providers.
The success of application deployment on cloud depends a lot on the architecture style which in turn depends on your business needs. This presentation talks about the commonly used Architecture and business use cases.
Just created a slideshare presentation giving a basic introduction to the Confidentiality, Integrity & Availability (CIA) Security Model. You can see more slideshows on http://www.slideshare.net/ImranahmedIT or visit my website: http://imran-ahmed.co.uk
This document discusses cloud security and provides an overview of McAfee's cloud security solutions. It summarizes McAfee's cloud security program, strengths, weaknesses, opportunities, threats, and competitors in the cloud security market. It also discusses Netflix's migration to the cloud for its infrastructure and content delivery and outlines Netflix's cloud security strategy.
MapReduce is a programming framework that allows for distributed and parallel processing of large datasets. It consists of a map step that processes key-value pairs in parallel, and a reduce step that aggregates the outputs of the map step. As an example, a word counting problem is presented where words are counted by mapping each word to a key-value pair of the word and 1, and then reducing by summing the counts of each unique word. MapReduce jobs are executed on a cluster in a reliable way using YARN to schedule tasks across nodes, restarting failed tasks when needed.
Slide on Cloud Security. This defines the possible aspects on Cloud Security. Images are taken from different Websites which are mentioned on references section.
This document discusses efficient analysis of big data using the MapReduce framework. It introduces the challenges of analyzing large and complex datasets, and describes how MapReduce addresses these challenges through its map and reduce functions. MapReduce allows distributed processing of big data across clusters of computers using a simple programming model.
Need for Virtualization – Pros and cons of Virtualization – Types of Virtualization –System VM, Process VM, Virtual Machine monitor – Virtual machine properties - Interpretation and binary translation, HLL VM - supervisors – Xen, KVM, VMware, Virtual Box, Hyper-V.
This document discusses the history and definitions of cloud computing. It begins with various definitions of cloud computing from Wikipedia between 2007-2009 which evolved to emphasize dynamically scalable virtual resources provided over the internet. It then covers common characteristics of cloud computing like multi-tenancy, location independence, pay-per-use pricing and rapid scalability. The rest of the document details cloud computing models including public, private and hybrid clouds. It also outlines the different architectural layers of cloud computing from Software as a Service to Infrastructure as a Service. The document concludes with a discussion of security issues in cloud computing and a case study of security features in Amazon Web Services.
This document provides an overview of big data and Hadoop. It discusses why Hadoop is useful for extremely large datasets that are difficult to manage in relational databases. It then summarizes what Hadoop is, including its core components like HDFS, MapReduce, HBase, Pig, Hive, Chukwa, and ZooKeeper. The document also outlines Hadoop's design principles and provides examples of how some of its components like MapReduce and Hive work.
Map reduce - simplified data processing on large clustersCleverence Kombe
The document describes MapReduce, a programming model and software framework for processing large datasets in a distributed computing environment. It discusses how MapReduce allows users to specify map and reduce functions to parallelize tasks across large clusters of machines. It also covers how MapReduce handles parallelization, fault tolerance, and load balancing transparently through an easy-to-use programming interface.
How the Cloud is Revolutionizing the Retail IndustryRaymark
The document discusses how cloud computing is revolutionizing the retail industry. It describes how the cloud model provides retailers with cost efficiency through reduced IT costs, scalability to adapt to changing demand, and reliability through redundant resources and easy migration of services. The cloud allows retailers to focus on their core business instead of maintaining their own IT systems. It provides quick deployment of new software and services. Major retailers are seeing benefits such as increased revenue and profit margins from cloud-based systems.
This document discusses the shift from traditional IT to cloud computing. It argues that the shift is driven more by economics than technology. Specifically, cloud computing allows organizations to convert fixed IT costs to variable costs and gain scalability. While the technology enabling cloud computing has existed since the late 1990s, factors like virtualization and the economic downturn created conditions for the model to take hold. The document outlines steps organizations can take to optimize their current IT and transition to cloud computing models, whether internal or external clouds. It also discusses opportunities for traditional service providers to participate in and help enable the cloud computing market.
Cloud Technology is one of the most disruptive technologies in the present era. It has touched many traditional industries as well, and now the oil and gas industry is feeling its heat.
The recent report estimate over 80% of the enterprise workload to be cloud-based. By looking at the current wave of cloud computing inside the oil and gas industry, we can say that it will include even more oil and gas industries’ transactions in the future.
The disruptions in 2017 will be an extension of trends that took off in 2016, albeit with higher adoption rate and stronger reinforcements. India’s e-commerce revenue is growing steadily to reach its $120 billion mark by 2020 and playing a big part to its progress would be cloud
The disruptions in 2017 will be an extension of trends that took off in 2016, albeit with higher adoption rate and stronger reinforcements. India’s e-commerce revenue is growing steadily to reach its $120 billion mark by 2020 and playing a big part to its progress would be cloud.
This document discusses data governance challenges that arise when organizations move to cloud computing. It notes that cloud impacts every aspect of a business's data governance by changing decision rights and accountabilities around information. It argues that some CIOs struggle with data governance because they think more like former CTOs focused on hardware rather than understanding business issues. Additionally, revelations about government surveillance have made some businesses nervous about putting data in multi-tenant cloud environments. However, experts say the risk to most companies is overstated, and the key is choosing a reputable cloud provider and understanding where data will be located and how it will be managed.
As the amount of data used by organizations continues to grow, securing critical information and programs on in-house computer servers has become crucial. Cloud computing offers secure access to users from anywhere and has been widely accepted around the world for its business efficiencies, cost-effectiveness, and competitive advantages.
This e-Book explores the business benefits of cloud migration, including flexibility, higher security, easy accessibility, data recovery, and minimal maintenance. It also provides an overview of the leading cloud service providers, such as Microsoft Azure, Citrix, CompTIA, and AWS.
The e-Book covers the following topics:
The history of cloud computing
An explanation of the three different cloud computing services
A comparative analysis of Cloud vs On-Premises
The advantages of Cloud computing
Quick stats on Cloud-migrated business profits
The top 10 entrepreneurial benefits of Cloud migration
Common Cloud migration challenges faced by every CIO
How to overcome these challenges with Cloud skilling plan solutions
A roadmap to master Azure, Citrix, CompTIA, and AWS Cloud certifications
We hope this e-Book provides valuable insights for organizations considering Cloud migration or looking to optimize their existing Cloud solutions.
Check for more information in these blogs: https://www.netcomlearning.com/blogs/347/microsoft-azure-certification-path-for-2023-the-ultimate-microsoft-azure-certifications-training-guide.html
For aws: https://www.netcomlearning.com/blogs/585/the-ultimate-guide-to-aws-certification-how-to-get-certified-and-succeed-in-your-career.html
A cloud revolution is brewing, and it promises to radically transform the way we compete, collaborate, and consume business services. Indeed, in an economy as volatile and hypercompetitive as today’s, the cloud’s potent mix of simplicity, security, faster innovation, and lower operating costs is proving increasingly attractive. For many businesses—small, medium, and large—the time to adopt this game-changing approach is now.
The document discusses the evolution of data centers from traditional silo-based models to more flexible compute centers. It describes how early data centers had low utilization rates and high costs due to each system being contained separately without sharing resources. Newer hybrid and cloud-based models use virtualization, standardization, and automation to improve efficiency and reduce costs. The document argues that in order to remain competitive, organizations must continue adapting their data center services to new technologies and business needs such as analytics, mobility, and cloud computing. This will involve trends like fabric-based computing, opex models, private clouds, and a focus on security, sustainability, and business services rather than just infrastructure.
Organisations fear the loss of control over their data when migrating to cloud. The biggest challenge encountered when moving the database from traditional servers to cloud is to prevent unauthorised access to sensitive data. Cloud not only enhances data security but acts as a tool to save space,
time, power and money.
Call centers know that there has to be a more modern way to enhance their call center solutions than traditional telephony. Good news: The future of call centers is here, and it’s looking cloudy for outdated call center technology.
Learn how a virtual call center will renovate your business and change the industry as we know it.
This document is a white paper that discusses why cloud-based enterprise content management (ECM) solutions are gaining popularity. It notes that software as a service (SaaS) revenues are projected to grow significantly through 2014. The document explains that cloud/SaaS ECM allows organizations to access ECM applications over the internet without having to purchase servers or software licenses. It states that organizations are attracted to the cloud because it can deliver cost savings through efficiencies compared to traditional on-premise ECM systems. The white paper aims to provide insight into why cloud ECM adoption is increasing among organizations.
This document provides an overview of cloud computing. It defines cloud computing as running applications from an external shared data center rather than locally, allowing access from anywhere without upgrades or dedicated IT staff. The cloud offers three main layers of services: Infrastructure as a Service, Platform as a Service, and Software as a Service. The document also discusses how the cloud has disrupted pricing models, value chains, workforce skills, and business planning. Both businesses and consumers can benefit from the cloud's flexibility, scalability, and reduced costs. However, the document cautions that security, outages, lock-in effects, and cultural barriers present challenges to cloud adoption.
Cloud ROI and Implementation - A TechBlocks Solutions GuideTechBlocks
Realize your business potential in the cloud. This guide includes:
- How to improve business productivity in the cloud
- How to measure cloud ROI
- A step-by-step process for building your roadmap for success
1. Putting together a qualified team
2. Creating a written business case and strategy
3. Picking the right deployment and service model
4. Creating governance rules
5. Overcoming compliance and security issues
6. Integrating, validating and managing the cloud
7. Moving forward into the cloud - long term management
How do you get CIOs to jump on the storage virtualization bandwagon if they’re not on it already? Use these five compelling points to persuade them that storage virtualization is right for their organization:
1. It’s Inevitable and Strategic.
2. Drives Productivity and Innovation.
3. Talk Return on Investment.
4. Deferring CapEx, Reducing OpEx.
5. Times are Changing and so is the CIO’s job.
VMblog - 2020 IT Predictions from 26 Industry Expertsvmblog
The document provides predictions from various IT industry experts for trends in 2020. Key predictions include:
- Containers and hybrid cloud adoption will continue to grow.
- Ransomware attacks will remain a major issue, especially for managed service providers.
- Workplace technologies will transform how employees work, engage with technology, and the rise of augmented workers.
- Multi-cloud environments will drive the need for more diverse data protection capabilities.
- Automation and open source tools will fuel growth in network automation.
- Cloud adoption will continue but organizations need to carefully consider total costs and business needs.
- Desktops will increasingly move to the cloud through services like Windows Virtual Desktop.
- Privacy and the
To prosper in this new environment insurance companies can look to the cloud, in conjunction with other technologies, to help drive reinvention of their business model to offer new services and create direct, multi-channel relationships with customers
If there is any trend that has created such a buzz in recent times, it has got be cloud computing. But does this mean that you should provide your software-plus-service from the cloud? Or should you tread with caution and wait for the market to stabilize? This paper attempts to provide Sanity-as-a-Service to ISV’s, Software-enabledbusinesses and Enterprises on cloud-enabling their software.
The document discusses the promises and realities of cloud computing. While the cloud promises cost savings, increased computing power, and automation, realities include security concerns, reliability issues, integration challenges, and costs for early adopters. As cloud technology evolves, both expectations and experiences of users are changing. The cloud remains a work in progress, with opportunities and risks that companies must navigate as adoption increases.
Involving your business online has its benefits but it can also increase the risks of security threats. Then the question arises here, how to protect your business from Cybercrime? Let's try to figure out the ways to overcome such threats:
Keeping your business safe from cybercrime requires diligence and effective IT cybersecurity strategies. Most importantly the ways mentioned here, are cost-effective and usually reduce cybercrime.
A technique which enables computers to mimic human behaviour
AI is definitely an important tool in the software industry that allows a new way of thinking for a lot of problems
AI reads human behaviour that helps to develop intelligent machines. The foundational goal of AI is to design a technology that enables systems to work efficiently.
Net Zero strategy is necessary to reduce global warming to tackle climate change as global warming is dangerous and can be critical for the future generation.
Net Zero means to achieve an overall balance between the amounts of emissions produced and the emissions are taken out of the atmosphere.
Increasing global population results in more use of energy which causes more global warming. To reduce global warming, Net Zero is important to tackle climate change.
The Endless growth in cloud computing & internet has brought an even more digitally advanced 'Universe'- the metaverse- Where you will live in a parallel world ( digital, of course) as a customizatable 3d Avatar In Metaverse, you & we can game, buy or sell, sing, dance, attend a meeting, jump with euphoria on a Saturday night concert, & what not just with a VR headset The Endless growth in cloud computing & internet has brought an even more digitally advanced 'Universe'- the metaverse- Where you will live in a parallel world ( digital, of course) as a customizable 3d Avatar In Metaverse, you & we can game, buy or sell, sing, dance, attend a meeting, jump with euphoria on a Saturday night concert, & what not just with a VR headset
5g Era of speed and connectivity
With a peak transfer rate of 20 Gbps, 5g is up to 20 times faster than 4g, can transmit data with an extremely low latency of one millisecond ( basically without delay), and is nearly as reliable as wired data transfer with high reliability of up to 99.99 per cent
The world is changing continuously so as the ways of doing business. One of such transformations is happening in the field of ticketing. With automation, we are experiencing newness in the way ticketing systems work nowadays. IT process which comprises manual and mundane steps can be benefitted from automation and ITSM automation is one such combination that we need in our business
6 easy ways to monitor the success of Network Management SoftwareEchelon Edge Pvt Ltd
For an up and running IT infrastructure it's necessary to have an effective Network Monitoring System (NMS) in place. With a fully-fledged network monitoring software, the business can instantly spot and fix issues related to switches, servers, security cameras, VoIP phones, and more. But, how to assure that all the essential network components and devices are working efficiently. Doesn’t matter if you have been in the industry for more than a decade or have just entered the world of business, you need to keep a check on your network. Read the tips in the blog, that can help you in keeping a tab on the essential devices present in a network infrastructure.
Whenever there
’
s a network issue, a system is
needed that can detect that fault and find out
from where its originating. With highly efficient
fault and performance tools organizations can
continuously scan the network for any possible
issues and then analyse the incident. Such tools
even provide a suitable solution respective to
the fault by automatically dispatching
restorative programs and scripts and hence
quickly fix it.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
Businesses nowadays are understanding the value of adding artificial intelligence and automation to network management. Especially when automation is offering so many benefits to the world of network management, it is gaining all the attention of the experts. If you need motivation for bringing automation to your network monitoring procedures, then this presentation is for you.
CSPs are under pressure to modify their business models to compete with ICPs. To support new business models and digital services, CSPs must adopt agile IT systems. The percentage of operators migrating BSS to the cloud increased from 4% in 2016 to 15% in 2020, and 44% expected over half of BSS to be cloud-based by 2021. TSPs expect benefits from cloud BSS migration like higher scalability, improved consolidation, decreased operational expenses, and less capital expenses. With cloud BSS, TSPs can generate better ROI through accelerated time-to-revenue, lesser time-to-market, improved top-line growth, and reduction in capital expenditure.
The telecom industry is at a very critical stage and if the TSPS don’t keep up with the modern technology, uncertainty will be there. In consideration to this, TSPs are looking forward to go digital that will unlock various new revenue streams. Top-tier OSS/BSS users are already opting for cloud-native OSS/BSS. If you have doubts how cloud OSS BSS can transform your business then read our article on “How your Next OSS/BSS Investment can Improve your Competitiveness and Profitability?
Intellectual
Channel
Management
Centralized Data
Targeted Digital Marketing How customer-centricity is influencing The digital world is growing
tremendously at an ever-accelerating pace and TSPs
must address their BSS according to that.
A Kubernetes cluster contains a set of worker
machines known as nodes that run
containerized applications
ü Every cluster has at least one worker node.
Hence, if a node fails, your application will still
be accessible from the other nodes as in a
cluster, multiple nodes are grouped
Operators have been
adopting artificial
intelligence (AI) &
machine learning (ML)
over the last five years.
This reduces repeatable
manual tasks and
replaces them with
applications that can
automate them.
No-code development is a type of web
development that allows non-programmers
and programmers to create software using
a graphical user interface, instead of
writing code.
Telecom support refers to supporting network configuration, monitoring traffic patterns, and protocols to maintain network versatility. It uses a flexible engineering approach to meet customer needs, implements high-availability infrastructure, and employs proven design and maintenance procedures. Operations support systems provide business support to telecommunications providers through software tools, while business support systems help service providers gain customer insight and introduce new revenue-generating services. Elite provides telecom support services through OSS/BSS solutions that simplify business operations and ensure transparent and efficient network status updates.
This presentation contains details about Under Vehicle Surveillance System. It depicts why it has become the need of the hour and where you can find a reliable UVSS.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
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!
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...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 integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Tatiana Kojar
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Trusted Execution Environment for Decentralized Process MiningLucaBarbaro3
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
Letter and Document Automation for Bonterra Impact Management (fka Social Sol...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 automated letter generation for Bonterra Impact Management using Google Workspace or Microsoft 365.
Interested in deploying letter generation automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
2. Not yet, then don’t worry; we’ll uncover
all the secrets about it.
One of the telco CTO stated that the
companies can save about 50% CapEx
by shifting their IT infrastructure to the
cloud. Generally, 80% is the figure and
it is a huge number that one can’t
ignore
3. What is
cloudonomics?
Cloudonomics is much more than just
capital expenditure savings. One can
define it as the operational savings
that are generated by crossing over
the constant hardware and software
update roundabout.
In industrial terms, we can say that
cloudonomics helps in defining the
business cases that are driving the
urgent need for cloud-based telco
systems
4. According to the IDC,
managed services will
grow to $74.9 billion by
the end of this year. More
number of businesses are
moving towards cloud-
based services and
storage because of the
cost-effectiveness and
convenience being
offered
IDC Research
5. Better than the
traditional
Though this approach is new, it has
already started stirring up the market.
It’s offering much more than the
traditional telco business models; it
can reduce network and IT costs by
running open cloud-based systems
6. Highly configurable 5G-based
service models can be easily sold
from an app-based online store.
To manage QoS, real-time usage,
network slicing and cost of services,
there are charging rules and
advanced policies.
The digital operators are capable
of selling highly valuable SLAs to
serve the customers.
Better than the
traditional