From Excess to Efficiency

| February 10, 2017

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Did you know that TV dinners have Thanksgiving to thank? In 1953, someone at Swanson misjudged the number of frozen turkeys they would sell that Thanksgiving - by 26 tons! Salesman Gerry Thomas, inspired by the aluminum trays airlines had started using to serve in-flight meals, came up with a brilliant plan: Why not slice up the meat and repackage it with some trimmings? Thus, the first TV dinner was born! Today’s organizations face similar challenges. How can we ensure an IT environment in which there are no extras? One in which every IT resource – people, processes and technologies – is allocated to deliver optimal business outcomes while minimizing cost and inefficiencies? While the answer’s not as simple as repurposing extra turkey in an aluminum container, there are steps today’s organizations can take to alleviate and prevent excess IT resources while optimizing current investments.

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Moviri is a global software and professional services company providing 18 years of expertise in Infrastructure Optimization, Capacity Management, Analytics & Big Data, Machine Learning, Security Intelligence, Digital Optimization, DevOps, Cloud Engineering, Performance Management, Data Visualization, IoT Architecture, Security Governance and Protection.

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How APIs Will Democratize Access to Low-Cost Artificial Intelligence and Machine Learning

Article | February 25, 2020

As a part of ProgrammableWeb's ongoing series of on-demand re-broadcasts of presentations that are given at the monthly Washington, DC-Area API meetup (anyone can attend), this article offers a video recording, and audio-only podcast, and a full transcript of the Feb 4, 2020 discussion given by Capital One's director of API and Event Streaming Platform Services Matthew Reinbold. As of late, Reinbold has been investing a significant amount of his time into learning more about the application and implications of artificial intelligence (AI) in the enterprise.

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Edge Computing Trends in 2021

Article | July 29, 2021

With significant numbers of cloud vendors implementing edge servers in local markets, market analysts predict an incredible growth in edge computing. Furthermore, the rise in the hottest edge computing trends will be supported by the complimentary 5G network offerings. The current demand for edge-driven business models is so intense that even the COVID-19 pandemic failed to alter these predictions. A study from IDC’s worldwide IT predictions claims that the impact of this global pandemic will be one of the biggest reasons behind the growth of around 80% of edge computing investments and platform changes across various industries in the coming years. But firstly, what exactly is this edge computing, and how does it matter to technology trends? The term ‘edge’ in this points at literal geographic distribution. In layman's terms, edge computing is a kind of computing performed at or near the data source. However, unlike cloud computing, it does not rely on cloud data sources to do all the work. This doesn't mean that the cloud will disappear with edge computing; instead, it will come to you. Edge computing, in most cases, uses a variety of functions that need service provisioning closer to users. The most common examples of such functions are telco network functions, machine learning, robotics, AR/VR, and IoT. Using such emerging use cases, edge computing assists in resolving critical challenges in data sovereignty, resiliency, latency, and bandwidth. Furthermore, migration of data resources, applications, and infra results in: Faster responses to business needs Improved business scaling Long-term resilience Improved flexibility Businesses rely on edge computing to define new cloud-based services and products that can exploit security, storage, and processing capabilities at the edge of the network. There will be a need for more distributed compute and data processing power post the COVID-19 pandemic because of new working ways. Moreover, edge devices will be in demand for their ability to fulfill this need without debilitating latency. Top Edge Computing Trends in 2021 Considering the increasing maturation of edge computing capabilities, market analysts predict the rise in investment in edge computing. As edge computing solutions come up as ever more essential to business operations, here are the top edge computing trends you will want to keep an eye on. Artificial Intelligence & Machine Learning will Shift to Edge Computing Although no edge computing strategy can completely substitute the applications of cloud resources, many businesses are trying to put more ML and AI capabilities closer to endpoint devices. In this way, they can achieve the required speed and reliability of such smart processes. Companies that need to bridge the digital and physical world in real-time will be the primary reason for this new trend in computing. Plus, edge computing has the power to replace machine learning models that are often trained at the data center. Instead, with specialized hardware, learning can occur at the edge. Considering the general nature of edge technologies, it will improve real-time predictions and, ultimately, operational reliability. Moreover, edge computing and data security are closely associated. Therefore, with more advancements in edge computing strategies, data security will steadily grow. Pandemic will Push Organizations to the Edge The current global pandemic has made us realize the actual effectiveness of several modern technologies, and it has changed the way we integrate and deploy them. In addition, the growth in the usage of consumer mobile devices, the increased consumption of virtual content, videos, and the increased demand for IoT devices (Internet of Things) has made the critical edge computing trends continue to flourish. Here’s what Jason Mann, the vice president of IoT at SAS, has to say, “From social distancing to thermal imaging, safety device assurance and operational changes such as daily cleaning and sanitation activities, computer vision is an essential technology to accelerate solutions that turn raw IoT data (from video/cameras) into actionable insights.” For example, retailers and shop owners can use edge computing solutions to know when people violate the store’s policies. Edge will Enhance the Connected Ecosystem Adoption Apart from enhancing IoT device usage, edge computing will ease the participation of organizations in the connected ecosystem. And, most importantly, there will be relatively lesser bandwidth and network latency issues. Organizations can quickly expand to several other profitable businesses without incurring hefty infrastructure costs by leveraging the scalability of edge computing. In addition, moving to more fast-streaming and profitable markets will be easy for enterprises because of easy data processing. IT and Operational Technology will Unite The COVID-19 pandemic has revealed several weaknesses of most organizations, and ‘resiliency’ is perhaps one of the most common weaknesses of most companies. IoT-driven devices and other connected equipment power the adoption of edge computing solutions where applications and infrastructure are within the facilities. According to the IDC report, the real-time inference with the help of digital twins and AI models can make this approach critical as they can detect the changes in operating conditions and eventually automate the remediation. With more convergence of IT and operational technology, the IDC report says that the number of operations deployed on edge computing infrastructure will grow from 20% to more than 90% in 2024. As a result, enterprises will prioritize integrating intelligence into different workflows and processes using edge computing capabilities. In 2021, mobile edge computing MEC) trends are expected to enable supply chain resilience. With data analytics at the edge, the ecosystem of supply chain enablers can integrate AI and ML to access near, live insights into data consumptions. Furthermore, it will also allow businesses to look into even the most unprocessed elements of highly composite demand and supply chains. Therefore, organizations need something that can enable 24/7 view across the complete supply chain. MEC-based solutions answer this as they can offer end-to-end monitoring from the point of service or manufacture. Private 5G Adoption will Increase As serious applications will begin to materialize, many businesses will take themselves to the edge. Undoubtedly, there's great potential in a private 5G network for fueling the edge computing trends in 2021 and beyond. The private 5G network is dedicated to specific infrastructures like factories and warehouses. Factory robots and machine tools require low-latency networks and local data processing. Edge computing and 5G can satisfy this need. The general nature of edge technologies and speed, low latency, enhanced coverage, and incredible responsiveness of the 5G network can serve these benefits. Edge will Improve Data Security Edge computing reduces data and internet costs and eventually improves data efficiency compared to the cloud. Plus, the edge offers an additional layer of security and enhances the overall user experience. Unlike the cloud, edge computing does not depend on a single point of storage or application. Instead, it distributes different processes across a variety of devices. Edge Computing in 2021 and Beyond The current and future edge computing trends will enable innovation across several industries such as medical, agricultural, worker safety, insurance, industry 4.0, retail, telecommunications, and more. As more and more companies collaborate to develop an open ecosystem and ultimately make it quick and easy for consumers to integrate as a part of their cloud strategies, edge computing trends will offer more value to organizations in the coming years. To summarize, edge computing trends will continue to redefine business operations by offering enhanced data security and controls, better connectivity even when disconnected from the network, and quick insights and actions. If you have any questions related to your upcoming project, we can help! You can go through our success stories here. Frequently Asked Questions How new is edge computing? The origin of edge computing traces back to the 90s, and it lies in content delivery networks. The primary job of these networks was to serve video and web content from edge servers that are deployed within the facility. What is edge computing used for? Edge computing is used for a wide variety of applications, services, and products. For example, Medical monitoring devices for real-time responses Self-driving cars for real-time reactions Video conferencing for decreasing lag and latency More efficient caching Is edge computing the future? Several researchers estimate that the edge computing trends are proliferating at around 30% of the compound annual growth rate. The edge computing industry is expected to reach more than $7 billion in the next five years. Many businesses have already begun to prepare for the technology change that will take place because of the current and future edge computing trends. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "How new is edge computing?", "acceptedAnswer": { "@type": "Answer", "text": "The origin of edge computing traces back to the 90s, and it lies in content delivery networks. The primary job of these networks was to serve video and web content from edge servers that are deployed within the facility." } },{ "@type": "Question", "name": "What is edge computing used for?", "acceptedAnswer": { "@type": "Answer", "text": "Edge computing is used for a wide variety of applications, services, and products. For example, Medical monitoring devices for real-time responses Self-driving cars for real-time reactions Video conferencing for decreasing lag and latency More efficient caching" } },{ "@type": "Question", "name": "Is edge computing the future?", "acceptedAnswer": { "@type": "Answer", "text": "Several researchers estimate that the edge computing trends are proliferating at around 30% of the compound annual growth rate. The edge computing industry is expected to reach more than $7 billion in the next five years. Many businesses have already begun to prepare for the technology change that will take place because of the current and future edge computing trends." } }] }

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Marketing Technology Trends You Must Adopt in 2021

Article | June 16, 2021

With the world changing so drastically around us, every trend seems to be optimizing itself to adapt to the changes. To leverage your business, it is essential to stay up to date with the market trends. From increasing productivity to updating yourself with the latest marketing technology trends, every minute thing counts to keep the business going forward in 2021. Even if your present business marketing ideas are working sufficiently for you, they may not in the future. And this is because the marketing technology trends change exorbitantly with time. Over 68% of businesses have increased their investments for increased productivity. Why should your business care about being updated about the latest marketing technology trends? ● To create competitive advantages ● Build ever-lasting relationships with consumers ● Cater to multiple services on demand. ● Deliver profitable business outcomes. The outcomes of staying up to date with the latest marketing technology trends are exceptional. According to experts, businesses can see their profits rise at 20 to 30 percent if they incorporate the newest marketing trends. Now that we know the benefits that businesses can reap by staying updated on marketing technologies. Here are some of them that you must adopt in 2021. Latest Marketing Technology Trends Artificial Intelligence (AI) Implementing, analyzing, and utilizing real-time intelligence to create artificial intelligence is a wonder created by scientists. From the assistance of robots in wars to medical fields, AI has come a long way from just solving mathematical algorithms. So imagine how impressive it will be when AI is implemented in marketing. It has been estimated that the AI in marketing technology trends will reach a whopping $190 billion industry by 2025. When consumers get what they want with minimal effort, the AI has delivered what it has promised. And this is precisely why you should incorporate AI in your marketing business. The best example of AI marketing success is the FashionAI store by Alibaba in Hong Kong. By utilizing intelligent garment tags, smart mirrors, and omnichannel integration, the FashionAI store gave the customers a ‘never like before’ experience. 44% of the customers gave positive feedback. AR, VR, XR Augmented reality, Virtual Reality, and Extended reality play vital roles in the latest marketing technology trends. Stimulators are known to provide an exhilarating experience to users in the gaming world. So imagine what a memorable experience they will provide to the consumers when implemented in marketing. The pandemic has made people shop maximum with their fingertips, but there is still reluctance when buying the bigger things. For example, buying furniture or buying a house still needs a physical check. Well, this is where AR, VR, and XR have played significant roles. Ikea has been exemplary in implementing these latest market technology trends. Ikea allows customers to scan the space and place the chosen piece of furniture there. The spacing and dimensions are said to be 98% accurate. Thus, customers can buy the product post total satisfaction. Implementing such interactive features in the marketing departments assures total customer satisfaction. And a satisfied customer has proven to be a 99% recurring customer. Voice Search Voice search is one of the latest marketing technology trends that marketing giants have already implemented. The voice assistants of Google, Apple, Amazon, and Windows account for their 50% marketing success. Not only does this provide a personalized approach, but it also assists in maintaining sustainability. For example, suppose, a person shops a specific item through Alexa. In that case, the entire process of placing the product in the cart, making payment, and tracking the shipment till it is delivered is notified by Alexa. Even after delivering the item, Alexa is trained to ask about the product after a while. Thus, even if the buyer was not satisfied with the product, he could tell Alexa about it. This enhances the shopping experience. This implies that even if the customer was unsatisfied with a particular product, he would return to shop with Alexa again. The popularity of Voice Search has defined the term that your sales graph will see decline if you do not introduce this as one of your marketing strategies. Chatbots With the increase in the demand and supply chain of products/ services, customers need solutions to their queries in a minimum time window. Technically, a human can't be present all the time and answer error-free. Also, it leads to a generous amount of investment in the staffing department. All this can be avoided, and customers can invariably be satisfied if you introduce chatbots - one of the most successful marketing technology trends to provide solutions to queries. Chatbots have also proved to enhance the shopping experience. Chatbots can be implemented with the suitable algorithms of AI and ML. The chatbots are designed to generate quick responses to the issues raised, thus saving time and making a satisfied customer. According to a Salesforce survey, 69% of US customers prefer to get assistance and their questions answered via a chatbot. Improved Data Analytics When your business has enormous customer data ranging from personal front to behavioral patterns, you must make the proper use of it for marketing campaigns. Appropriate use of data should be the most implemented marketing technology trend in 2021. A business has access to personal information, choices, geographical locations, and customer data. This information can be used for email marketing campaigns, virtual assistants, and everything else to provide a personalized experience to the user. Gift vouchers for birthdays and reminders for anniversary gifts are perfect examples of making the correct use of data for marketing. Netflix is the best example for usage for data analytics in the right direction. The personal recommendations based on the viewing of the user is a hit strategy. 80% of the viewers watch the recommendations given by Netflix. 5G The emerging-marketing technology trends are going to require speed and reliability. For example, the website pages need to load faster, videos should not buffer but play seamlessly, and chatbots and AI features should work effortlessly for a flawless customer experience. And this all is possible if 5G technology is implemented in the services. The European countries have major goals in implementing the 5G in all possible domains. They have a plan to cover rails and roads to give people uninterrupted coverage while traveling. Once the fifth generation of mobile technology is in action, Google plans to remove all the sites that are not mobile-friendly. Billions of dollars have already been spent to build the 5G infrastructure; thus the implementation can happen in no time. However, the internet experience that 5G is promising is sure to gain momentum in businesses. To conclude Businesses need to implement these marketing technology trends to keep the graph of profits and sales soaring high. Even if your current marketing techniques prove profitable, there are high chances that times may turn, and you will have to implement the latest marketing technology trends. There will be various emerging marketing trends that will keep on making businesses attain and retain their customers. What matters is, you should know which one of them or a combination, fits your business the best. Frequently Asked Questions What are the latest technologies in the market? Artificial Intelligence (AI), Virtual Reality (VR), Augmented Reality (AR), Machine Learning (ML), 5G, and Blockchain are some of the latest technologies available in the market. How will technology help your business? Technology will ensure that you are updated with the latest marketing trends. It also helps in making profitable investments with the assurance of maintaining quality. In addition, using the newest technology reduces costs, expands the business, and increases productivity at the same time. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "What are the latest technologies in the market?", "acceptedAnswer": { "@type": "Answer", "text": "Artificial Intelligence (AI), Virtual Reality (VR), Augmented Reality (AR), Machine Learning (ML), 5G, and Blockchain are some of the latest technologies available in the market." } },{ "@type": "Question", "name": "How will technology help your business?", "acceptedAnswer": { "@type": "Answer", "text": "Technology will ensure that you are updated with the latest marketing trends. It also helps in making profitable investments with the assurance of maintaining quality. In addition, using the newest technology reduces costs, expands the business, and increases productivity at the same time." } }] }

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NEUROMORPHIC CHIPS: THE THIRD WAVE OF ARTIFICIAL INTELLIGENCE

Article | April 10, 2020

The age of traditional computers is reaching its limit. Without innovations taking place, it is difficult to move past the technology threshold. Hence it is necessary to bring major design transformation with improved performance that can change the way we view computers. The Moore’s law (named after Gordon Moore, in 1965) states that the number of transistors in a dense integrated circuit doubles about every two years while their price halves. But now the law is losing its validity. Hence hardware and software experts have come up with two solutions: Quantum Computing and Neuromorphic Computing. While quantum computing has made major strides, neuromorphic is still in its lab stage, until recently when Intel announced its neuromorphic chip, Loihi. This may indicate the third wave of Artificial Intelligence.

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Moviri

Moviri is a global software and professional services company providing 18 years of expertise in Infrastructure Optimization, Capacity Management, Analytics & Big Data, Machine Learning, Security Intelligence, Digital Optimization, DevOps, Cloud Engineering, Performance Management, Data Visualization, IoT Architecture, Security Governance and Protection.

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