The global deep learning market is forecast to maintain its growing momentum throughout 2019, while the world’s top 10 deep learning companies are expected to continue their market leadership over next five years. Since deep learning technologies help to provide machine assistance by extending human capabilities, the rising demand for improved human and system interaction is driving the growth for implementing deep learning technologies in various of the industries around the world, which will also help to boost the global deep learning market over the near future.
What is Deep Learning?
Deep learning is a subcategory of machine learning methods powered by artificial intelligence technologies. Deep learning is also known as a system of algorithms inspired by the human brain, which can automatically evolve itself from a huge amount of data it generates. These systems first develop a deep domain insight and then provide this information to the end-users in a timely, natural, and usable way. Since there is a rapid increase in data generation across industry verticals such as the banking, financial services, and insurance (BFSI), healthcare, retail, and public services, the adoption of deep learning is also growing fast.
Major Deep Learning Examples
The major deep learning examples are the implements of AI-enabled systems to make human tasks more efficient and accurate. For instance, in the financial sector, deep learning systems help bank employees extend their work capabilities and allow financial institutions to concentrate more on customer interaction rather than the traditional transaction-based approach. Furthermore, based on the client’s history and background, the deep learning systems can offer contextual and evidence-based reasoning by engaging in dialogue with humans. Deep learning systems also enable customized and self-service options for customers and assist employees in offering tailored recommendations for the customers’ specific needs and tolerance for risks.
Other latest deep learning examples can be seen in various areas, such as virtual assistants (Alexa or Siri), languages translations, Chatbots, facial recognition, personalized push notification, remote monitoring & controlling and more.
Read more: Top 10 Artificial Intelligence Companies in the World 2019
Top 10 Deep Learning Companies in the World for 2019
Microsoft
The Microsoft Cognitive Toolkit (CNTK) is an open-source toolkit for commercial-grade distributed deep learning. CNTK allows the user to easily realize and combine popular model types such as feed-forward DNNs, convolutional neural networks (CNNs) and recurrent neural networks (RNNs/LSTMs). CNTK also implements stochastic gradient descent (SGD, error backpropagation) learning with automatic differentiation and parallelization across multiple GPUs and servers.
NVIDIA
NVIDIA AI Platform for Developers’ GPU-accelerated deep learning frameworks offer flexibility to design and train custom deep neural networks and provide interfaces to commonly-used programming languages such as Python and C/C++, making NVIDIA one of the world’s leading deep learning developers.
Amazon
Amazon SageMaker provides developers and data scientists with the ability to build, train, and deploy machine learning models quickly. Amazon SageMaker is a service that covers the entire machine learning workflow to label and prepare data, choose an algorithm, train the model, tune and optimize it for deployment, make predictions, and take action.
Google’s AI and machine learning products make it easy for developers to add sight, language, conversation, and structured data to their applications. Its code-based data science development platform helps machine learning developers and data scientists quickly take projects from ideation to deployment.
Apple
The American multinational technology company Apple is also one of the world’s top deep learning companies. Its machine learning product portfolio, including Core ML 3, Create ML, A-series chips, and the Neural Engine, help to effectively build, train, and deploy machine learning models.
IBM
IBM Watson Machine Learning helps data scientists and developers work together to accelerate the process of moving to deployment and integrate AI into their applications. By simplifying, accelerating and governing AI deployments, it enables organizations to harness machine learning and deep learning to deliver business value.
Intel
Intel’s OpenVINO Toolkit helps to quickly develop, train, and deploy deep learning solutions. It can accelerate development of computer vision solutions, integrate deep learning inference, and speed up workload performance.
The social media giant Facebook is another one of the world’s leading deep learning companies. Facebook uses deep learning methods to help users to discover new content and connect with each other. Facebook also develops and applies machine learning and deep learning algorithms to rank feeds, ads and search results, and create new text understanding algorithms that prevent spam and misleading content.
Sensory
Sensory is a Silicon Valley based AI and deep learning software company, focusing on providing products and services to improve the user experience through embedded machine learning technologies such as voice, vision, and natural language processing. Sensory’s TrulySecure uses a deep learning approach in our face and voice recognition algorithms.
Qualcomm
Qualcomm Incorporated is one of the world’s leading telecom companies, headquartered in San Diego. Qualcomm develops and offers AI and deep learning solutions for a various of end-devices including smartphones, machines and vehicles. It also uses deep learning techniques for power-efficient implementations across hardware, algorithms, and software.
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The US Leads the Global Deep Learning Market
Currently, the global deep learning market is dominated by the US and it will continue to hold the maximum market share for the next few years as it the home of many world’s top deep learning companies. According to the recent market research from Technavio, the US deep learning market size is forecast to grow rapidly at a CAGR of more than 57% by 2021. One of the main factors that drives the market’s growth is the heavy investments done by the country’s leading deep learning companies in the latest digital technologies such as the cloud, mobility, analytics, and social media to stay ahead in the market competition.
