In today’s world, Cloud technology is being a part and parcel of our daily lives, it has an impact on both of our personal and professional lives. Starting from our music and TV shows, phones from to-do lists to random notes are stored and easily accessible on the cloud.
Artificial intelligence mainly focuses on creating machines efficient and intelligent enough to decode problems in the same way as a human will do. In the current scenario, AI is capable enough to teach machines and help them to learn from experience, making them adopt any new inputs, and execute tasks like a human. It quickly integrates huge sets of data with robust and intelligent algorithms, which automates the program to learn by itself from the sample in the given data.
As retailers brace for the next stage of evolution of the industry, they have realized how critical data is. In their bid to transform their operations and make better decisions, they are investing heavily in big data analytics solutions. However, these investments need to be made carefully.
Over the past decade retail industry has undergone a transformative phase. Retailers have witnessed a monumental shift in the way customers look to engage with them. Brand loyalties have become fickle and longstanding business models have been disrupted. The shift in linear thinking has led to an influx of technologies.
Technology and digital transformation have impacted retail industry beyond imagination. The third wave of retail disruption has set in. Retailers are already talking about smart retail and intelligent enterprise. What does this mean? It means you implement cognitive automation and RPA for a lean process. You optimize supply chains, make decisions based on real-time data, and make digital an integral part of your operations.
In the current scenario of digital transformation landscape, Robotic Process Automation is becoming one of the most trending tools to solve most of the drawbacks of your business processes.
Microservices architecture is an architectural approach that connects independent business functionalities in the form of microservices to build complex business applications. Leveraging microservices architecture, a large application can be built as a suite of modular components or services.
Robotics process automation – also popularly referred to as RPA – is witnessing a surge in popularity lately. The addition of cognitive technologies and AI algorithms to RPA has ushered in a new age of intelligent automation.
As retail brands are moving towards a more digital existence, they are piling up technical debt at an unprecedented rate. The CIOs and CTOs are highly conscious about this growing burden and its crushing repercussions. But for the non-technical leaders of the business, this debt sounds more like a mythical figure than an actual threat.