Saxon Global

  We have all witnessed how the COVID-19 pandemic had a significant role in the rapid transformation and adoption of the cloud. The pandemic pushed enterprises into a remote-functioning digital experiment. Organizations facing pressure to adopt a remote-first approach have turned to various cloud-based solutions. Additionally, increased flexibility, scalability, and cost-effectiveness are the other significant reasons driving cloud adoption amongst enterprises. We have seen the rise of cloud systems driven by industry giants such as Microsoft Azure, Amazon Web Services, Google Cloud Platform, and others. It is no wonder that cloud computing has ushered in a transformative era. Numerous large and SME companies have   migrated to the cloud   and found it cost-effective, secure, and convenient compared to having an on-premises IT infrastructure.   However, the sales of on-premises solutions are rising too. 92% of  survey  participants, including software developers from 5 continents, conf

  With the   advent of generative AI , particularly the Azure OpenAI Service by Microsoft, many industries are on the verge of a seismic, technology-driven shift. The automotive industry is also not far from leveraging this technology. Leading the winds of change is one of the pioneers of innovation and luxury in the auto industry: Mercedes-Benz. Integrating with   Microsoft Azure OpenAI Service , it is transforming the entire in-car experience and steering ahead in innovation. Let us understand the futuristic proposition via this scenario: Suppose you have an in-person meeting at 7 am at your office tomorrow. It is the winter season, and you live in a northern state. You have allowed your car to access your calendar. It can anticipate the cold weather conditions and suggest leaving the house at 6:15 am instead of 6:30 am. The following morning, your car will be pre-started and heated at 6:15. It might offer a relevant news channel for your drive while pepping you up for the scheduled

  Recently, Microsoft announced new features in Azure AI Services at the   Ignite 2023   event. As a Microsoft partner, we are following these updates closely and exploring how the new features will unlock more value for enterprises.  The slew of updates is more focused on empowering businesses with enterprise-grade generative AI applications – from leveraging cutting-edge foundation models to building AI applications to enhancing user experiences on those AI applications.   Developing generative AI applications that work exclusively on your enterprise data, for your enterprise is a complex process. You need powerful GPUs to finetune large language models (LLMs). Making this process easier for enterprises, Microsoft launched  Model as a Service  (MaaS) in the Azure AI model catalog. Using MaaS, you can finetune LLMs and build generative AI applications using inference APIs. You will be charged for the number of tokens used as part of the pay-as-you-go (PayGo) model. So, you don’t have