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Created powtoon video presenting Indian Olympic winners for social media.

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On-premise to cloud migration is not just a technical change but a cultural one. Moving to the cloud transforms your business fundamentally across day-to-day operations, talent acquisition and development, budgeting, and even end-user productivity. Therefore, it requires a careful approach to determine the best ways to leverage new cloud capabilities and modernize applications towards harnessing the full benefits of the cloud. Most literature only provides a snapshot of the best practices alongside checklists to guide your steps on that complicated journey. Many companies begin to run into various problems because they lack understanding of the best practices (especially regarding security and performance) during development and working in the cloud environment. We’ve handled diverse on-premise to cloud migration projects and have put together some of the top areas to consider during this complex journey. 1. Invest in container technology Naturally, you may already think of containers
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6 Ways Continuous Monitoring in DevOps Enables Organizations Deal with Unforeseen Challenges

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  When working with DevOps methodology, companies often focus on 'collaboration,' 'continuous testing,' 'integration, 'automation,' 'continuous deployment,' etc.   However, one key ingredient and perhaps the most essential is often overlooked – continuous monitoring. DevOps methodology creates the avenue to be more efficient and agile, which gains any business an edge in a highly competitive business environment. Unfortunately, the quicker the deployment pipeline accelerates, the higher the resistance encountered from growing 'chaos' formed due to the faster operational speed. Therefore, even as automation and agile leadership principles control this chaos for continuous delivery, there are also higher chances of confusion in the production environment. Therefore, a successful DevOps implementation needs to take care of the risks of becoming the next bottleneck. Without Continuous Monitoring and real-time visibility, it becomes difficul
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Best OTT Revenue Models for OTT Monetization in 2021

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  Media consumption has taken on a dramatic evolution within the last decade. Currently, OTT streaming solutions seem to be at the forefront of media innovations. It is one of the most significant global media opportunities for delivering the Power of TV paired with scalability and agility across the global internet. At its core, ‘Over the Top’ streaming services enable users to stream video content through the internet without satellite or cable subscriptions. Content creators and media brands can expand existing content to new audiences and heighten audience engagement through innovative video experiences. Today, OTT platforms like HULU, Amazon Prime, and Netflix are taking the frontiers. OTT’s power lies in the seamless possibilities, accessibility, affordability, and convenience that it offers to users. The rise of supporting technologies such as  CDNs, mobile capabilities, 5G  alongside the COVID-19 pandemic is further increasing the use of OTT platforms. OTT Revenue Models in 202
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Python: Best Technology For Data-Driven Business Solutions

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  Digital transformation is fast transforming a significant number of businesses. For businesses primarily driven by data, it is crucial to becoming a remarkable digital entity, with optimized costs and efficiency. Success today is a complex process involving addressing ever-changing business and users’ needs, applying the right tech solutions, and building secure and stable applications. Technology is off-course at the frontiers and controlled by programming. However, it is crucial to choose a technology that meets your data-driven business goals and challenges to impact your growth and success significantly. This is why it is important to choose the latest and proven development technology. On the grounds of programming, there are multiple languages. However, Python technology stands out from the crowd. Python has been used for over 30 years and is still one of the most dynamically growing languages today. Regardless of your business size, Python technology is the solution to your
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Video On Demand Streaming – The Content Delivery Strategy

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  Video on demand is fast becoming the most acknowledged trend for online content delivery. According to a report, VOD streaming platforms are ramping up to 155% year-over-year viewing times. It is no longer news that people prefer video to other kinds of content, including articles, emails, and infographics. Still, evidence shows video will only grow bigger as more people are beginning to access the internet. Cisco Systems predicts that video demands will grow higher as internet-connected devices grow, with over 70% of the world’s own mobile devices, further increasing demand for 4K/UHD content. This rise of video is not entirely on the entertainment scene but is already leveraged by broadcasters, small and large brands. Video on demand is riding the frontiers, especially for one major reason — the ability to offer content to the audience whenever and however they choose to view it. Therefore, Video on Demand offers seamless efficiency, convenience, and cost optimization in a singl
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How OCR Digitizes Insurance Industry?

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  Insurance firms deal with a myriad of documents. From policies to cover notes, certificate of insurance, proposal forms, endorsements, there is plenty to meet demands and needs. These documents are also subject to ever-changing laws, new processes, and the struggle to offer the best insurance solutions. Therefore, it is vital to process these documents accurately and efficiently.   Initially, insurers had to scan and convert paper documents into flattened image files. A process like that requires excellent human intervention and is no match for the large volume of content in the insurance industry. Therefore, unmanageable work delays, errors, and long hours of work were the order of the day. Such practices can also lead to uncontrollable costs, lower profit and lower customer retention. There are also duplicate or multiple processes, alongside many other organizational silos, which further increases insurance operations costs, leading to severe losses for insurers. OCR And Insurance
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AI in Testing? Why Do We Need It

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AI in testing  is a significant trend among testers and has been around for quite some time. A  2020-21 World Quality survey  says that over 21% of IT leaders and  AI companies  conduct assessments to maximize Artificial intelligence potential in software testing. However, you may wonder – why AI? How do AI-powered platforms truly benefit software testers and development teams? This article looks at these real benefits ,  alongside  artificial intelligence future in  Software testing and QA automation .  Artificial Intelligence and Software Testing Automation Testing automation is already a widely acknowledged tool in modern driving the speed and efficiency of modern QA. With this kind of testing, testers can run thousands of test cases in a short time. It automates repetitive test cases, allows for a faster feedback cycle and better defect detection. Testing automation also reduces test cycle times, enables efficient reuse of test cases, and helps achieve higher control and transparen
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