Machine learning

Machine learning is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions

Edge computing

Edge computing is a cloud computing trend that involves storing and processing data at the edge of the network, near the source of the data, rather than in the cloud. This can help to reduce latency, improve reliability, and enhance privacy and security. The increasing use of 5G can also lead to faster processing and reduced latency

Internet of Things

The Internet of things describes devices with sensors, processing ability, software and other technologies that connect and exchange data with other devices and systems over the Internet or other communications networks. The Internet of things encompasses electronics, communication, and computer science engineering

AI for Cutting Down OPEX

One of the leading surveys shows the media and entertainment industry is witnessing enormous spending and ending up with fewer profits. The industry’s Operational Expenditure (OPEX) is exceeding profit margins. Now, the focus should ideally be on how effectively the content should be utilized rather than creating it for content’s sake. AI can eventually help you cut down OPEX

Multi-cloud Utilization

Most enterprises today operate on multi-cloud environments. However, managing multi-clouds, especially when moving workloads between clouds, is one of the prime challenges. API-led development and containers offer solutions to this problem.
APIs help unlock the unique functionalities of applications residing in multi-cloud environments. Containerization has also been a proven solution to address concerns with multi-cloud environments

Blockchain

Blockchain technology is an advanced database mechanism that allows transparent information sharing within a business network. A blockchain database stores data in blocks that are linked together in a chain. The data is chronologically consistent because you cannot delete or modify the chain without consensus from the network. As a result, you can use blockchain technology to create an unalterable or immutable ledger for tracking orders, payments, accounts, and other transactions. The system has built-in mechanisms that prevent unauthorized transaction entries and create consistency in the shared view of these transactions

Increased migration to the cloud

One of the most discussed digital transformation topics is the data migration from on-premises to the cloud. Businesses are relying more and more on cloud technologies, particularly when it comes to cutting expenses, improving accessibility, and outsourcing tedious routine maintenance work. More businesses will move to the cloud as technology develops and internet speeds rise, especially in nations where they have historically been slow, in order to take advantage of all the unique advantages they provide.

Customer data platforms

A customer data platform is a technology that connects different applications and databases to enable customer-centric data and analytics. Customer data platforms are used for managing customer information, analysing customer trends, identifying opportunities for future marketing efforts, and building more personalized customer experiences. Customer data platforms are a way to integrate all of the information about your customers from different sources into one place so that you can make better decision