Latest Software Engineering Trends



Today’s session was conducted by hSenid mobile solutions, which is a globally recognized company in providing dynamic Telco grade platforms converging Telco APIs, analytics and signalling for telecommunication companies and enterprise markets. Thankfully to hSenid we learned about the new trends in software industry. To give this opportunity hSenid HR came and he did a great lecture about this.
The upcoming trend “Communication with pets” came a long way after the communication among people, Communication with hardware and Hardware to hardware communication.
Followings are the latest trends in software engineering.
Automotive

Obviously, we will see the launch of many more self-driving cars, but we will also see the entire connected car system become “smart.” Expect your car to predict the failure of a part and suggest some convenient times for you to go the mechanic, who will have the replacement part ready for you!


Artificial Intelligence

This technology enables machines to show cognitive functions like "learning" and "problem solving". Even Facebook, has recently announced their plan for moving towards AI. There are so many benefits a company could attain through this technology.



Big Data

In 2017, we’re going to see these trends hit data in a big way. We already see the effect of cloud in architectures that separate compute and data. Cloud-based blob stores like S3 have become the new data lake for many organizations. Agile practices will increasingly influence the work of data engineers and data scientists, enabling them to benefit from fast feedback cycles and continuous delivery of value.


Cloud

Many companies across a diverse set of industries do not yet (fully) appreciate the requirements of extreme network and systems availability. As more and more organizations move their mission-critical systems to the cloud, implies that there may be a number of large scale incidents in 2017 (e.g., service outages, DDOS attacks, etc.) that cause businesses to realize the importance of implementing a multi-cloud strategy.


Data Science

Enterprises will increasingly migrate away from centralized, shared-service data science organizations in favor of embedding data scientists directly in business units and even making data scientists part of software development project teams. This will lead to better software that leverages data science to support “intelligent” features, such as personalized recommendations and intelligent automation.
Virtual Reality
Virtual Reality is referred to as immersive multimedia or computer simulated reality which replicates an environment that would simulate a physical presence in the real world or imagine world enabling the user to interact with that world. These technologies are heavily used in Gaming industry.

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