Industry 4.0 is taking every industry by storm with unprecedented advancement with innovative technology solutions. Its key technologies such as automation, AI, ML, Data Analytics and IoT enables industries to drive business operations with automated data-driven intelligence. Integrating the physical and digital systems, the manufacturing industry is increasingly adopting intelligent manufacturing in this Industry 4.0 era.
Globally the impact of AI is increasingly growing year on year in every industry sector. Opening new scopes in construction & architecture sector, the global AImarket is estimated to grow at a CAGR of 29.4% (around) from 2019 to 2026 and is expected to reach around US$ 2.1 Billion by 2026.
A cloud platform can be described as a storage place that is highly accessible, flexible, scalable and agile in all its characteristics. Users from anywhere via the internet can access their data, collaborate, share, and work together in real-time with the cloud, which means anything less than a cloud platform cannot be possible to comprehend today. The substantial dominance of cloud platforms is their authenticity and usability.
Business Intelligence is essentially an umbrella term that includes infrastructure, best practices, and applications needed to analyze data and support decisions. In the age where data holds unlimited transformative potentials, hospitals and healthcare institutions are diving headfirst to harness the power of data through business intelligence (BI) services.
A digital twin is a virtual or digital replica of a physical entity. In the Industrial Internet of Things (IoT) realm, a digital twin is the dynamic virtual copy of a physical framework, a vehicle, a machine, or any device. Most often, a digital twin is developed to carry out simulations before the actual device is manufactured. Today, digital twin is taking the IoT industry by storm and the market is expected to hit $16 billion by 2023.
A multi-tenant architecture is essentially a framework in which a common instance of a software application is used to service several client applications or tenants. This multi-tenant architecture has found extensive adoption in SaaS applications, which cater to requests from tens and thousands of clients. The main reason for the adoption of multi-tenancy is the efficient and optimal use of resources and funds, along with delivering seamless service.
Microsoft Azure Storage system is a cloud storage technology designed for current data storage environments. A highly available object store for data objects, disc storage for Azure virtual machines (VMs), a command-line service for the cloud, a messaging store for trustworthy communications, and a NoSQL store are all available through core storage services. They are long-lasting, accessible, flexible, maintained, and safe and readily available.
Data Science and business are co-related in much more ways in this modern world. As data is the key to drive businesses, Data Science solutions are the bridge that helps achieve the organizational goal to improve business value. Many companies extending from large scale to small scale use the wide possibilities of data science to make their business successful.
In the arena of Customer Relationship Management, Microsoft Dynamics CRM was a major buzzword, but known as Microsoft dynamics 365 today (Microsoft rebranded Dynamics CRM to Dynamics 365 and offered a comprehensive solution for better customer engagement). It was one of the best CRM platforms available in the market and is both intelligent as well as comprehensive.
