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As artificial intelligence (AI) continues to revolutionize industries, the role of developers is undergoing a dramatic transformation. It’s no longer enough for developers to be masters of coding languages and algorithms—today’s corporate world demands much more. AI challenges are reshaping the way developers contribute, requiring them to broaden their skill sets beyond technical expertise.
“The cloud is democracy.” – Marc Benioff, CEO of Salesforce.
Rightly said, the statement above captures the true essence of why cloud platforms have undergone mainstream adoption-all in good spirits. They enable you (whether you own a startup or an enterprise) to test your strategies in no time and with relatively less money. AWS and Azure are the leading cloud service providers, among others including Google Cloud Platform, Alibaba Cloud, and IBM Cloud. In this piece, we’ll explore the leading two.
Is serverless computing truly the future of cloud technology, or just another passing trend? Initially hailed as a transformative technology, serverless computing promised to free businesses from the burdens of server maintenance, scaling issues, and infrastructure costs. As of 2023, the majority of organizations leveraging the AWS and Google Cloud had at least one serverless deployment (as per Datadog’s State of Serverless report).
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Need an app for multiple platforms without extra coding? Cross-platform application development could be the perfect solution for you. With the rapid increase in mobile phone usage and the proliferation of smart devices, these apps have become essential for achieving digital success.
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As per Statista, the container management market is projected to grow from USD 465.8 million in 2020 to approximately a billion USD in 2024. This rapid growth highlights the increasing importance of containerization in modern software development. Today, this market is dominated by leading platforms, Docker and Kubernetes, each playing a crucial role in how organizations deploy, scale, and manage applications.
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The demand for user-centric application software development is higher than ever, with the market poised to reach US$179.90 billion in 2024. While this demand presents a myriad of opportunities for businesses, meeting it traditionally is a time-consuming process requiring extensive coding and iterations. However, with advancements like generative AI, many tools like ChatGPT are transforming this scenario by automating significant portions of the development process.
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Per Salesforce research, nearly 80% of high-performing field service companies are using artificial intelligence and workflow automation. Let’s dig deeper to reason why this is happening.
As the majority of customers believe that the experience is as important as the service, field service teams are the best channel to deliver it. They are the face of a company outside of the office. However, to thrive in the field, you must strategize for on-field operations with precision and foresight. It does not end with hiring skilled technicians but also extends to proactively scheduling jobs, allocating jobs, monitoring their performance, and equipping them with the right knowledge.
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As of early 2024, Amazon Web Services (AWS) controls 31% of the global cloud infrastructure market, highlighting its significant impact on technology and business operations. This market share positions AWS as a crucial tool for companies seeking to innovate and expand. In this context, the role of AWS consulting services becomes indispensable, providing the expertise required to maximize the benefits of AWS. These consultants tailor AWS’s extensive features to align with specific business strategies. By leveraging the advantages of AWS consulting, companies can ensure better navigation of the complexities of the platform. Here, we will shed light on the top reasons why choosing AWS consulting services is important for your business growth in this highly competitive digital space.
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