Banking organizations become more comfortable with a faster pace of innovation, using data and analytics more extensively. Digitization drives banks to be more innovative in targeting, expanding services, re-configuring delivery channels, and integrating payments.
Following are some of the trends that define banking today: https://goo.gl/c4eViv
The First time in 8 years. Incredible!
“The first time in eight years”. Reblog with caption 🙃
Race captured by a drone looks like a race car game
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The worldwide adoption of DevOps by organizations symbolizes that it is the key component to scale up. Proper execution of DevOps practices helps organizations deliver better, faster, reliable and high-quality software depending on the culture of collaboration. It calls for fundamental cultural change, modification, and improvement of programming practices.
1) Aligning IT and Business Goals
It begins with aligning your IT goals with your business goals. The development process for the business goals should demand this change. Implementation of DevOps just because it is the latest trend will not fetch results.
2) Breaking down silos
Information silos can hinder the progress of an organization. DevOps aims to break those silos and deletion of these barriers from an organization can improve communication among the teams and maintain a flow and accessibility to information which helps in better decision making, in turn, better output and ideas.
Read More: Effective Ways for Successful DevOps Implementation
The development in innovations like Artificial Intelligence, Blockchain technology, Cloud and Big Data are catering to the events in this advanced age. IoT is aiding in various sectors be it healthcare where it is providing world-class treatment with advanced tools and techniques and also to the development of smart cities where autonomous vehicles will eliminate car crashes. Enterprises are adopting these trends to lead the digital revolution in their business.
• Artificial Intelligence
According to a survey by Gartner, 59 percent of organizations are still assembling data on Artificial Intelligence methodologies, whereas 31 percent have gained acceptance through test cases programs; the IT department is investing vigorously in AI. Regardless of these difficulties, it will be easy to accomplish great outcomes with AI in an extensive variety of IoT circumstances.
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