Enterprises started focusing on cloud-based application development. As a result, the need for evolving the languages, tools, and platforms are increasing drastically.
One of the streams in which Data Science could play a vital role is Application Development. The demand for application development has been increasing tremendously, and supporting these requirements with the help of AI requires a continuous transformation of DevOps workflow. This ensures the support of the continual building, iteration, and training of machine learning, deep learning, and other statistical models.
OPEN SOURCE ECOSYSTEM
With the acquisition of Github, a DevOps platform in the open-source ecosystem, Microsoft secures a special place in the open source space. No matter whether it is a funded startup or an established organization, they foresee their future by participating in the open-source community.
Developers can continue to use any language, tool, license, cloud or platform in Github to operate in vendor-agnostic fashion. Further, Microsoft has decided to open-source many of its software with its recent joining of Open Invention Network. This enables them to become an evangelist of the open-source community for post-proprietary software development.
HYBRID SERVERLESS AND CONTAINERIZED CLOUD APPLICATIONS
Enterprise IT strategies are now flooded with Hybrid clouds, and the development of applications that incorporate workloads, data and other resources across public and private clouds could hit the summit anytime. More development tools are expected to be witnessed in 2019 which could enable hybridization of heterogeneous containerization and serverless environment.
Knative has the potential to improve the rate of creation of hybridized serverless applications which run on Kubernetes multi-clouds.
RISE OF SWIFT, PYTHON, RUST, AND KOTLIN
- Swift – Its clear and compact system had attracted a mass of iOS developers already.
- Python – Since it is easy to learn and use, it is the go-to language for AI, machine learning, data analytics, IoT, gaming apps, etc.
- Rust – As it supports memory-safe concurrency, it outnumbers the competition languages for IoT, embedded and other applications which require end-to-end robustness
- Kotlin – Its flexibility may empower it to replace Java in Android Developer’s repertoire
NEW IMMERSIVE APPLICATIONS
The business, industrial, scientific, and consumer users are growing for the augmented, virtual, and mixed reality applications. The immersive applications find gaming as their ground for further development.
It is expected to witness that the new Nvidia Turing GPUs will lead this trend upon their arrival to the market and support the next-generation immersive apps that combine photorealistic visual with AI-driven contextual intelligence.
Also, using the client-side AI frameworks like TensorFlow.js, developers will build GPU-aware smart camera applications that can produce fluidly continuous immersive visuals in intermittently connected or even in disconnected and scenarios.
ROBOTICS & AI DRIVEN APPS
It is undeniably true that Robotic Process Automation (RPA) has been the talk of the town over the past year. RPAs will be the principal development platform for AI-driven apps, and AI’s role and responsibilities include the creation of intelligent bots for business process automation.
RPA vendors will be exposed to IoT, edge and multi-cloud opportunities upon adoption of cloud-native interfaces.
2019 is all set to leverage open source ecosystem, hybrid and containerized application, new languages for developer toolkits, new immersive applications, and robotics & AI driven apps for businesses in the IT space. The booms in immersive applications and AI are expected to be huge and are believed to extend their support in pushing the global businesses further.