Deploying applications have always been a source of struggles and challenges for development teams everywhere. Then, when you add loads of data and machine learning mechanisms to the mix, you have full-blown chaos at your hand. There is no well-built infrastructure or methodology that can simplify the development and deployment of data-intensive applications. Considering the importance of Machine
We live in a hyper-competitive era, in which change happens in the blink of an eye with new technologies, and at the heart of this is Artificial Intelligence (AI). Cutting-edge technologies like AI, predictive analytics, machine learning, and other digital disruptions are transforming the business models, processes, and customer experiences across every industry. Organizations increasingly find
The healthcare system across the world is going through unprecedented pressure due to the ongoing COVID-19 pandemic. It is still unknown when the world will return to full recovery. This makes it more difficult for hospitals, health systems, and healthcare staff to find a solution on how to reduce pressure in the future.
The insurance industry is confronted with a unique challenge in addressing multi-generational gaps in policy demands and the supply of solutions to meet those demands. The demand from the young generations is not rising to the expected levels, while the companies struggle to supply digital infrastructure to meet any future demands. Such untapped potential in catering to customers could result in
Asset tracking and management pose a tremendous challenge to organizations that deal with transportation of various equipment, supplies and material from one location to the other or over long distances. Losses, theft and damage to assets result in losses amounting to trillions of dollars for companies around the world.
Software quality assurance currently stresses upon the speed of delivery of apps on top of quality through the implementation of better QA practices that includes DevOps. Supporting faster development through automation and DevOps CI/CD is considered the better alternative to old QA methods.
Digital transformation was already a top priority for banks as they were facing extreme competition from much larger banks and fintech companies. The main challenge for banks is to stay ahead of others by offering faster and more convenient customer service options. But with the ongoing pandemic, banks are facing uncertainty and much tougher challenges to stay afloat. The demand for providing the
Powers full lifecycle AI management from data exploration to modeling to production – MLOps, ModelOps, Edge Analytics and DataOps
Software development without coding was a concept unheard of prior to the introduction of low code and no code application development platforms that took the centre stage in the next big list of development inventions for the decade. Low code was recently listed on Forbes as one of “Nine Software Development Trends In 2021 To Watch For Now”.
While the pandemic is raging in the world currently, businesses stand the danger of a rapid decline in financial stability and inability to maintain critical revenue generating assets. In the past year, many businesses have inculcated more digital aspects in their customer facing activities in order to sustain themselves. The banking sector has faced a similar setback, since people forewent major
