What Is SaaS (Software-as-a-Service) And Its Benefits For Enterprises

March 7, 2019 | 86 views

Cloud-based technologies and service models are changing the way companies are doing business and drive innovation. Fundamentally, there are three main categories of cloud computing services: Infrastructure as a service (IaaS), software as a service (SaaS) and platform as a service (PaaS). This article focuses on Software as a Service (SaaS). SaaS is a service model in which a provider hosts the application and makes it available to customers over the Internet. This is a significant departure from the on-premises software delivery model allowing organizations to outsource most of the IT responsibilities.

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FUTURE TECH

8 Epic App Innovations that Help Your Business Stand Out

Article | July 14, 2022

Increased use of the internet and smartphones demands better mobile applications be developed. Innovation is the key driving force that can make or break the market regarding mobile app development. A fantastic team of mobile app developers and smart innovation employing the latest technology produce a huge hit app. Let us learn more about how the mobile app development market grows. The Market for Mobile Application Development The mobile application development market is projected to grow at a 13.4% CAGR from 2023 to 2030, with a value of $187.58 billion recorded in 2021. This is due to the increased use of the internet and smartphone platforms, as well as artificial intelligence and machine learning. The app's algorithms learn and understand user interests to deliver refined results that generate better user engagement. As Ericsson and the Radicati Group forecasted, 6.64 billion people own a smartphone today, which is around 83.32% of the world population, and by 2025, 7.33 billion people will own a smartphone. As a result, there is a substantial rise in demand for better smartphone apps, for which creative and innovative mobile application development is the need of the hour. Innovation will give your business a competitive edge it's never had before. It will also open up new ways to grow your business. Discover the top innovations in mobile app development. Innovations in Mobile Application Development Some of the technological breakthroughs in mobile app development will greatly improve the user experience in the future. These focus mainly on the implementation of the latest technological innovations to realize functionality that has never been seen or done before. Let us now delve into their specifics. In-App Paid Features: Android and iOS Development While Android has a market share of 70%, iOS has grabbed a market share of around 28% in the mobile operating systems market as of 2022. In-app advertising and in-app purchases generate the major ROI from mobile applications on both mobile operating platforms. A great UI and UX go a long way toward boosting your app and business, and they also help you rank highly in the respective app markets, i.e., the Google Play Store and the App Store. Rolling out constant updates and adhering to the security standards of the marketplace keeps your business app ranking at the top. Augmented and virtual reality With the AR kit, you can design and make 3D mobile apps for your customers that use virtual reality. AR and VR are constantly changing the business of making mobile apps. You can use these trends to give mobile users really great experiences. A few of the sectors making successful use of these technologies include gaming, e-commerce, retail, interior design, real estate, tourism and travel, education, training, healthcare, manufacturing and construction, advertising and marketing, and entertainment. Your AR and VR mobile apps are more valuable if you can meet your expectations for maximum ROI with a minimum budget. You can do this by making constant improvements to your minimum viable product. Beacon Technology The beacon technology uses a smartphone's Bluetooth to identify any store, museum, or other business in the vicinity. As mobile devices get more powerful, IoT and edge sensors will be used more and more. Because of that, beacon technology will change the way we interact with the world. This technology sends notifications to your customer’s phone about your product when the customer passes by, sends content and descriptions about an ongoing event at your location to your customers, and more. Proximity marketing and indoor navigation notifications are the few ways retail is using this technology. With the help of beacon technology, your business can track assets, keep track of contacts, offer access to loyalty programs, gather advanced data, and send mobile tickets. Al and ML The versatility and power of innovations in Al and ML keep them relevant. For example, they let you turn pictures into animations that look real. These animations provide real-time analytics and other valuable insights. As an AI learns from its own experience, providing a better customer experience based on the data you feed it helps create intelligent chatbots. Personalized shopping assistance, fraud prevention, task automation, smart content, voice assistants, and autonomous vehicles are a few of the examples where you will see AI implemented. An AI trains itself through machine learning, or ML. ML forecasts future data trends using available historical data. This invaluable addition to your existing apps transforms the way they interact with customers. We are one step closer to a super-personalized experience. Wearables Wearables let you make calls, find your way to your destination, measure and analyze your vital signs in real time, and look at your own personal insights. So, app developers and businesspeople should focus on making apps that give people who use wearables a great digital experience. Getting better apps for wearable devices can greatly enhance their functionality and the user experience. From listening to your favorite music to tracking your fitness goals, taking notes, finding a parking spot, and adhering to your health and fitness regimen, a wearable device does it all. If developing your company’s wearable app delivers more value, this technology is not just a game changer but a lifesaver for many. Predictive analytics Predictive analytics is essential to e-commerce. When it comes to making mobile apps, predictive analysis can help improve both the process and the user experience. By putting together information from many developers, it can help predict problems and suggest solutions. Your predictive analytics will be better if you use artificial intelligence (AI), data mining, machine learning, modeling, and statistics. The data that your small and medium-scale businesses have gathered over a period of time becomes one of the most valuable sources of information that helps predict and forecast future market trends. Unexplained market rises and falls will now have an explanation, as will mobile apps that can precisely tell what, when, and where needs to be changed, replaced, or repaired. Using constants and variables that are already known, predictive analytics and data modeling can help make accurate predictions about the future. Blockchain Technology The world of blockchain has innumerable possibilities. Applications backed by blockchain technology benefit from end-to-end encryption. This means no one but you can retain data ownership rights. Blockchain technology is used for a lot of important communication and financial transactions because it is safe and private. Blockchain holds promise for better efficiency, productivity, and performance, as well as for elevating the user experience. Blockchain is more secure and reliable, offers better transparency in financial transactions, makes you go password-free using an SSL certificate (Secure Sockets Layer), promotes simplicity, protects your identity, safeguards access to your digital data and information, and helps transmit and receive accurate data with the help of balanced data transfer using several nodes at once. On-Demand Applications As lockdowns and quarantines went on for a long time, many delivery apps started to appear. There were apps for taxis, grocery stores, and even medicine delivery. The on-demand model is likely to grow as more service-based companies shift their focus towards on-demand apps. Technology is always changing, and every year, new versions of technology hit the market. That's why we need to keep up with the latest updates and use them to make applications that are both new and full of features. That's a must for a successful launch of a mobile app. Making the development process easy for the developers reduces the time it takes to develop applications using the software. There are options like rapid application development software, no code, and low-code application development software. These can include mobile app development, SaaS (software as a service), cloud apps, on-premise standalone apps, desktop apps, and web-based apps for many devices, including IoT devices. Using AI to power the application development process speeds up development, testing, and deployment, which helps a lot with scaling from small to medium to large and beyond. Some quick and effective mobile app development platforms include Quixey, Zoho Creator, AppyPie, AppSheet, Bizness Apps, Appery.io, iBuldApp, Shoutem, Rollbar, JIRA, AppInstitute, GoodBarber, Caspio, and more. Long-Term Benefits of Mobile App Development Innovations for Your Small Business: Creating a winning product doesn’t have to be a long process. Improvements on the product offered by competitors and finding competitor product shortcomings, along with using innovative technologies, help add value to your mobile app as a product. Mobile app development innovations help in many ways, such as: Improve your brand's relationship with your customers. Offer 24/7 access to your business, Get excellent customer insights, Efficiently market your product online, Save on additional marketing costs, Boost employee efficiency by increasing engagement. Improve communication, shreds down the busy work and Streamline the data. Generate a new revenue stream from ads targeted at in-app purchases. As a result, you meet customer expectations efficiently, allowing you to expand your business and attract potential customers. Your customers and potential customers are always looking for something new and exciting to experience and adopt. Sooner or later, they make habits of seeing something, and then they start thinking of that mobile app as a standard benchmark to look up to. Talking about the scalability of a mobile application, there is a lot of scope to improve using innovative technologies, and all minor to major updates take you from where you are to where you want to be. Finding the right mix of technologies will help your business grow and expand. Tying everything together Business growth for small-scale businesses starts with new inputs and strategic technological investments in mobile app development. Although they sound promising, striking the right balance to implement innovative technologies relies heavily on rigorous predictive analysis. Tools and technologies help meet customer expectations at scale and grow the business beyond imagination with the power of innovation.

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AI TECH

Empowering Industry 4.0 with Artificial Intelligence

Article | July 20, 2022

The next step in industrial technology is about robotics, computers and equipment becoming connected to the Internet of Things (IoT) and enhanced by machine learning algorithms. Industry 4.0 has the potential to be a powerful driver of economic growth, predicted to add between $500 billion- $1.5 trillion in value to the global economy between 2018 and 2022, according to a report by Capgemini.

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FUTURE TECH

How Artificial Intelligence Is Transforming Businesses

Article | July 26, 2022

Whilst there are many people that associate AI with sci-fi novels and films, its reputation as an antagonist to fictional dystopic worlds is now becoming a thing of the past, as the technology becomes more and more integrated into our everyday lives. AI technologies have become increasingly more present in our daily lives, not just with Alexa’s in the home, but also throughout businesses everywhere, disrupting a variety of different industries with often tremendous results. The technology has helped to streamline even the most mundane of tasks whilst having a breath-taking impact on a company’s efficiency and productivity

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The advances of AI in healthcare

Article | February 11, 2020

With the Government investing £250 million into the project, the Lab will consider how to use AI for the benefit of patients – whether this be the deployment of existing AI methods, the development of new technologies or the testing of their safety. Amongst other things, the initiative will aim to deliver earlier diagnoses of cancer. It is estimated that in excess of 50,000 extra patients could see their cancer being detected at an early stage, thus boosting survival rates. More specifically, a study has shown that AI is quicker in identifying brain tumour tissue than a pathologist.This would have a positive knock-on effect in other areas, such as enabling money to be saved (that otherwise would have been spent on further treatment) and reducing the workload of staff (at a time when there is a crisis in NHS workforce numbers).

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Simply put, ProActive Business Solutions takes on all the technology tasks your organization doesn’t have the time or resources to handle on its own. These range from relocating data centers to upgrading desktops, to calibrating sensitive cleanroom tools, to supporting wafer fabrication.

Related News

Exploring specific security pain points with enterprise cloud adoption

Cloud Tech | January 25, 2019

While the enterprise push to public cloud continues apace, it does not hurt to hear of figures which puts the scope of the journey in perspective. According to new figures from Ping Identity, only one in five enterprises polled said they have more than half of their IT infrastructure hosted in the public cloud. Three quarters (75%) in comparison have a hybrid approach. Perhaps not surprisingly, the key aspect holding these organisations back is security. 43% of the 300 US-based respondents said it was the biggest obstacle to cloud adoption, while 37% said it was the biggest barrier to software as a service (SaaS) adoption. There are plenty of reasons to be fearful. More than a quarter (27%) of those polled admitted they have experienced a breach of customer identity data stored either in a public cloud, on-premises or SaaS app provider's cloud. As a result, 71% said they were spending more on protecting customer identity data on a yearly basis. When it came to specific security tools, multi-factor authentication was cited by nine out of 10 respondents as an effective control. Yet only 60% of firms polled said they used it. Identity federation and biometric authentication were also seen as key methods, but adoption was low at 34% and 22% respectively. Even though the new year is only less than a month old, research has shown continued enterprise concern around security in the cloud. According to NetEnrich, large enterprises were 'eagerly adopting cloud infrastructure, applications and services', albeit with three quarters (72%) noting security was their top priority for this year.

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LogicMonitor Steps Up Its Monitoring for Microservices, Containerized Applications

SDxCentral | January 15, 2019

Software-as-a-Service (SaaS)-based monitoring provider LogicMonitor implemented new capabilities into its platform to help DevOps professionals peer into microservices and containerized applications. LogicMonitor’s self-named performance monitoring platform is based on a SaaS architecture and relies on automation to collect performance data from a variety of environments. This includes on-premises, cloud, and hybrid architectures such as Amazon Web Services (AWS), Microsoft Azure, servers, storage, networks, virtualization, applications, websites — and now Kubernetes, microservices, and containerized applications. As Kubernetes and other containerized environments grow increasingly popular, monitoring these environments has created new challenges for enterprises. These architectures are more difficult to monitor than more traditional environments because of the increase in application data, and they are more complex than what traditional monitoring tools are equipped to handle. Prior to today’s launch, LogicMonitor offered Docker container monitoring. “With increasing adoption of Kubernetes to orchestrate these containers, we saw a need to provide a more comprehensive container monitoring solution that integrates with orchestration,” said Sarah Terry, manager of product management at LogicMonitor. LogicMonitor’s new Kubernetes monitoring tool provides event-based Kubernetes monitoring. According to the company, the tool will monitor as an enterprise splits a monolithic service into microservices orchestrated with Kubernetes. The tool does this by automatically adding and removing cluster resources from the monitoring platform. The Kubernetes monitoring also eliminates the need to have an agent on every node. According to Terry, this is because the tool relies on two applications running in the cluster: one as a pod for monitoring and the other as a pod for discovery. The discovery application reads the Kubernetes event stream and leverages LogicMonitor’s existing API to keep everything up to date. Data is collected from Kubernetes nodes, pods, services, and containers using the Kubernetes API.

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The future of enterprise software: Big data and AI rules okay – and the ‘decentralisation of SaaS’

Cloud Tech | August 17, 2018

Machine learning, cloud-native and containers are going to be key growth drivers of the future enterprise software stack – but it could be the end of the road for software as a service (SaaS). That’s the verdict from an extensive new report by venture capital fund Work-Bench. The full 121-slide analysis (Scribd), titled ‘The Enterprise Almanac: 2018 Edition’, aims to dissect a ‘once in a decade tectonic shift of infrastructure’, focusing on the new wave of services that will power the cloud from the end of this decade onwards. “Our primary aim is to help founders see the forest from the trees,” wrote Michael Yamnitsky, report author and VC at Work-Bench. “For Fortune 1000 executives and other players in the ecosystem, it will help cut through the noise and marketing hype to see what really matters. It’s wishful thinking, but we also hope new talent gets excited about enterprise.” If this analysis is anything go by, there will be plenty to get excited about in the coming years. Large technology companies are winning at AI, Work-Bench asserts. And why not? This publication has devoted plenty of column inches in recent months to how among the hyperscalers are using artificial intelligence and machine learning as a differentiator – indeed, Google Cloud this week launched pre-packaged AI services to try and stay one step ahead of the competition. It’s not so much of a differentiator if everyone’s getting in on the act, though. And this is where others are struggling. “Despite hopeful promise, startups racing to democratise AI are finding themselves stuck between open source and a cloud place,” the report notes.

Read More

Exploring specific security pain points with enterprise cloud adoption

Cloud Tech | January 25, 2019

While the enterprise push to public cloud continues apace, it does not hurt to hear of figures which puts the scope of the journey in perspective. According to new figures from Ping Identity, only one in five enterprises polled said they have more than half of their IT infrastructure hosted in the public cloud. Three quarters (75%) in comparison have a hybrid approach. Perhaps not surprisingly, the key aspect holding these organisations back is security. 43% of the 300 US-based respondents said it was the biggest obstacle to cloud adoption, while 37% said it was the biggest barrier to software as a service (SaaS) adoption. There are plenty of reasons to be fearful. More than a quarter (27%) of those polled admitted they have experienced a breach of customer identity data stored either in a public cloud, on-premises or SaaS app provider's cloud. As a result, 71% said they were spending more on protecting customer identity data on a yearly basis. When it came to specific security tools, multi-factor authentication was cited by nine out of 10 respondents as an effective control. Yet only 60% of firms polled said they used it. Identity federation and biometric authentication were also seen as key methods, but adoption was low at 34% and 22% respectively. Even though the new year is only less than a month old, research has shown continued enterprise concern around security in the cloud. According to NetEnrich, large enterprises were 'eagerly adopting cloud infrastructure, applications and services', albeit with three quarters (72%) noting security was their top priority for this year.

Read More

LogicMonitor Steps Up Its Monitoring for Microservices, Containerized Applications

SDxCentral | January 15, 2019

Software-as-a-Service (SaaS)-based monitoring provider LogicMonitor implemented new capabilities into its platform to help DevOps professionals peer into microservices and containerized applications. LogicMonitor’s self-named performance monitoring platform is based on a SaaS architecture and relies on automation to collect performance data from a variety of environments. This includes on-premises, cloud, and hybrid architectures such as Amazon Web Services (AWS), Microsoft Azure, servers, storage, networks, virtualization, applications, websites — and now Kubernetes, microservices, and containerized applications. As Kubernetes and other containerized environments grow increasingly popular, monitoring these environments has created new challenges for enterprises. These architectures are more difficult to monitor than more traditional environments because of the increase in application data, and they are more complex than what traditional monitoring tools are equipped to handle. Prior to today’s launch, LogicMonitor offered Docker container monitoring. “With increasing adoption of Kubernetes to orchestrate these containers, we saw a need to provide a more comprehensive container monitoring solution that integrates with orchestration,” said Sarah Terry, manager of product management at LogicMonitor. LogicMonitor’s new Kubernetes monitoring tool provides event-based Kubernetes monitoring. According to the company, the tool will monitor as an enterprise splits a monolithic service into microservices orchestrated with Kubernetes. The tool does this by automatically adding and removing cluster resources from the monitoring platform. The Kubernetes monitoring also eliminates the need to have an agent on every node. According to Terry, this is because the tool relies on two applications running in the cluster: one as a pod for monitoring and the other as a pod for discovery. The discovery application reads the Kubernetes event stream and leverages LogicMonitor’s existing API to keep everything up to date. Data is collected from Kubernetes nodes, pods, services, and containers using the Kubernetes API.

Read More

The future of enterprise software: Big data and AI rules okay – and the ‘decentralisation of SaaS’

Cloud Tech | August 17, 2018

Machine learning, cloud-native and containers are going to be key growth drivers of the future enterprise software stack – but it could be the end of the road for software as a service (SaaS). That’s the verdict from an extensive new report by venture capital fund Work-Bench. The full 121-slide analysis (Scribd), titled ‘The Enterprise Almanac: 2018 Edition’, aims to dissect a ‘once in a decade tectonic shift of infrastructure’, focusing on the new wave of services that will power the cloud from the end of this decade onwards. “Our primary aim is to help founders see the forest from the trees,” wrote Michael Yamnitsky, report author and VC at Work-Bench. “For Fortune 1000 executives and other players in the ecosystem, it will help cut through the noise and marketing hype to see what really matters. It’s wishful thinking, but we also hope new talent gets excited about enterprise.” If this analysis is anything go by, there will be plenty to get excited about in the coming years. Large technology companies are winning at AI, Work-Bench asserts. And why not? This publication has devoted plenty of column inches in recent months to how among the hyperscalers are using artificial intelligence and machine learning as a differentiator – indeed, Google Cloud this week launched pre-packaged AI services to try and stay one step ahead of the competition. It’s not so much of a differentiator if everyone’s getting in on the act, though. And this is where others are struggling. “Despite hopeful promise, startups racing to democratise AI are finding themselves stuck between open source and a cloud place,” the report notes.

Read More

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