About Deep Learning System
Deep learning is a new area in machine learning research and focuses on artificial learning, the primary objective of machine learning. Deep learning deals with learning multiple levels of representation and abstraction that helps make sense of data such as images, sound, and text.
Technavio’s analysts forecast the global deep learning system market to grow at a CAGR of 38.73% during the period 2016-2020.
Covered in this report
The report covers the present scenario and the growth prospects of the global deep learning system market for 2016-2020. To calculate the market size, the report provides a list of vendors and the detailed profiles of the major vendors in the global deep learning system market.
The market is divided into the following segments based on geography:
Technavio Announces the Publication of its Research Report – Global Deep Learning System Market 2016-2020
Technavio recognizes the following companies as the key players in the global deep learning system market: Alphabet, BVLC, Facebook, LISA lab, Microsoft, and Nervana Systems.
Other prominent vendors in the market are: Affectiva, Clarifai, Deep Genomics, Deep Instinct, Ditto Labs, Enlitic, Gridspace, Indico, MarianaIQ, MetaMind, and Ripjar.
Commenting on the report, an analyst from Technavio’s team said: “One of latest trends in the market is rising need for detecting new malware for cyber security. The technology of deep learning is allowing the detection of malicious activity at the point of entry in real time. Deep learning has self-learning capability that provides faster processing and higher accuracy. Alike image recognition, in cyber security, most of new malware and threats are very small alterations of the existing ones. Only a few of them are new malware that are substantial mutations of current malicious threat. However, in spite of this fact, cyber security solutions are the most advanced ones that practice traditional machine learning and dynamic analysis. This machine learning has difficulty to detect new malware. The consequence is vulnerabilities that consent organizations to data theft, breaches, data corruption, and ransomware. Deep learning aids in resolving this problem.”
According to the report, one of the primary drivers in the market is surging demand for more knowledge about decisions and processes. Deep learning brings technology a step closer to humans by supporting them in decision-making in numerous areas of life and work. The integration of deep learning applications with self-learning IT systems within an organization helps in communicating with people and other computer systems in real time. It also aids in recollecting previous interactions that assist in drawing conclusions independently while rapidly processing large quantities of data from highly diverse sources. For instance, a learning system such as IBM Watson, which follows the process of understanding, learning, and evaluating, can read millions of text documents in seconds. These systems model human thought processes to a certain extent. Almost all industries benefit from the use of this technology, ranging from healthcare to finance or manufacturing to e-commerce.
Further, the report states that one major challenge in the market is advances in learning process. The research in deep learning has grown dramatically with significant progress. However, one of the important aspects of learning mechanisms is to understand if learning is supervised or unsupervised. Either technique is applied in a deep learning system. Hence, one of the initial challenges is to avoid wrong learning of the system right before making a feasible decision, especially in the autonomous or unsupervised learning process. The other issue with the process is to define the learning process concretely in the context of objectives and contributions of the system.
Alphabet, BVLC, Facebook, LISA lab, Microsoft, Nervana Systems, Affectiva, Clarifai, Deep Genomics, Deep Instinct, Ditto Labs, Enlitic, Gridspace, Indico, MarianaIQ, MetaMind, Ripjar.