| | AUGUST 20189continuous observability and con-tinuous security to improve busi-ness outcomes and provide unbeat-able customer experience.Initially, financial sector took baby steps when it came to adopt-ing technology by modernizing back-end processes and systems to support the digital age. But over the last few years, this sector has not only caught-up, but is leading the change when it comes to speed-ing-up innovation and adopting modern software delivery practices of Agility, Automation, Insights and Security. In a nutshell, it has been a classic case of technology first adopting the business, while later on business has adapted to the tech-nology to retain customer loyalty. Smart adoption of DevOps cul-ture by the Finance sector surely helps reap rich dividends. But to continue the compound growth, there are a few unique aspects ex-clusive to Finance sector that need to be considered.· Speed, accuracy and security must go hand-in-hand. One cannot be compromised for the other. · In the application economy, applications need to be built, tested and deployed in parallel with con-tinuous feedback loop to be on top of the game.· While a continuous delivery & continuous integration tool chain is imperative, continuous observ-ability & continuous feedback are equally important to improve the architecture & performance of the applications and in turn continuous-ly enhance customer experience. For example, security and com-pliance have always been the top two concerns in financial sector. Initially, with DevOps practices ad-vocating increased velocity of soft-ware releases, DevOps was viewed as a risk to security. Instead of retro-fitting security as an afterthought, with the shift left approach of baking security right from the word go, one can see how the business (fi-nance sector) has adapted and made technology it's friend to not only deliver customer expectations, but also exceed it resulting into evolu-tion of DevOps to DevSecOps.Moving on further, peering into the horizon is AI, which was seen as a gimmick a few years ago, which is again a gradual evolution from DevOps to DevSecOps continuing the adaption lifecycle. It offers a host of benefits such as improved security by detecting fraudulent behavior, suspicious transactions and potential future attacks. AI can help process information quickly by recognizing specific patterns to improve processing time. Helps an-alyze context changes, i.e., the user, the device, the user's behavior and the data consumption pattern. AI understands approval workflows and allows restructuring & auto-mating based on the change in con-text. With its ability to process huge volumes of data, AI can offer really game changing insights.If one wants to know where India stands with respect to AI, with a heavy push towards Digital India, India will surely march ahead in the innovative usage of AI in the next few years. With India's vast rural base, India is the best testing ground for apps that offer ease of use, con-venience and most of all propel the system towards intelligent, self-cor-recting and self-reliant infrastruc-ture with zero human intervention. A future with NO reactive fixes would be the ideal scenario with intelligent usage of generated logs to continuously improve the system to mimic human intelligence. Au-tomation will progress from sim-ple rule-based systems to complex and autonomous decision-making systems. With increasing emphasis on collecting insights about human behavior, very focused personalized services can be developed.With the continual rise of AI, one can see the next incarnation of DevOps and that will be Cogni-tive DevOps. Operating AI-native (non-deterministic) software will be significantly more complex, as it will require continuous, proactive, creative testing, AI-training, mon-itoring, and adaptive evolution to remain useful. The AI-native soft-ware is going to change itself based on learning from past data and data from real-time sensors and algo-rithms will make decisions in real time. Add to this, the emerging Blockchain technology and distrib-uted business models, it is clear why DevOps (aka Cognitive DevOps) will be absolutely essential for every company. The wheels are just set in motion. The pace will quicken when we use AI to anticipate rather than react. All said and done, human in-telligence truly lies in maneuvering artificial intelligence as humanly as possible. Sakaar Anand
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