In the year 2018, applications based on, machine learning and artificial intelligence saw a dramatic rise. Tech companies such as Amazon, Apple, Facebook, Google, IBM, and Microsoft are heavily investing in research and development of AI, which will help the ecosystem in bringing AI closer to consumers.
Several trends are shaping the year 2019 with AI advancements. First, chip manufacturers such as Intel, NVIDIA, AMD, ARM, and Qualcomm plan to ship specialized chips that will speed up the execution of AI-enabled applications—computer vision, natural language processing, and speech recognition. These chips will have requests for catering intelligence to healthcare and automobile industries.
Convergence of IoT and AI will make most models in public cloud deployed to the edge. For instance, industrial IoT will be the top use case for AI that has the potential to perform outlier detection, root cause analysis and predictive maintenance of the equipment.
The next trend has been in the corridors of the research laboratories, making interoperability among neural networks. One of the critical challenges in the development of neural network models is to select the correct framework. For companies, this is important because a trained and an evaluated structure is tough to port to another frame. But AWS, Facebook, and Microsoft have collaborated to build Open Neural Network Exchange (ONNX) that makes it possible to reuse neural network models across multiple frameworks. If AI's power is applied to the operations, and the way in which infrastructure is managed that will be redefined. ML and AI are used in IT operations and DevOps to provide organizations with intelligence. It helps the ops teams analyze the root cause precisely and accurately. In 2019, AIOps will become the mainstream. Public cloud suppliers and businesses will benefit from AI's convergence. From business applications to IT support, AI will have a significant impact on the industry.