How Are Enterprises Benefitting from Deep Learning Algorithms?

Currently, deep learning solution providing companies are focusing on partnerships and acquisitions to cater to the needs of the retail, automotive, manufacturing, healthcare, and BFSI industries. For instance, in July 2017, Alphabet Inc. completed the acquisition of Halli Labs Pvt. Ltd., a provider of machine learning (ML) and deep learning solutions.

As per the terms of this agreement, Halli Labs Pvt. Ltd. agreed to join Google's Next Billion Users team to increase the reach of ML and deep learning technologies among its customers. Further, in July 2019, Intel Corporation signed a partnership agreement with Baidu Inc. to jointly work on the Nervana Neural Network Processor (NNP) of the former.

With this partnership, both the entities agreed to work on the hardware and software of NNP to ensure the optimization of this processor in the PaddlePaddle deep learning framework of Baidu Inc. Other companies opting for such measures include SAS Institute Inc., Qualcomm Incorporated, IBM Corporation, Amazon Web Services Inc., Samsung Electronics Co. Ltd., NVIDIA Corporation, and Microsoft Corporation.

Globally, the North American region dominated the deep learning market in the recent past, owing to the rapid technological advancements and the existence of developed IT infrastructure in the U.S. and Canada. Currently, end-use industries in the region are rapidly adopting deep learning solutions for voice assistance, image recognition, and product recommendation on social networks.

Moreover, the mounting investments being made by governments in AI technologies will also result in the widescale adoption of deep learning solutions in North America. Thus, the surging shift of end-use industries toward cloud computing and the increasing IT expenditure will facilitate the adoption of deep learning solutions, globally.

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