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Mobile AI market for smartphone applications to register largest shipment in 2018

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Mobile AI (Artificial Intelligence) has formed a huge impact on human interaction with devices and machines, in numerous industries such as the advertisement, travel, utility, telecom and machinery industry. Mobile AI has the capability to execute and complete monotonous jobs that are extremely exhausting for people. It is also utilized to find out areas extremely with ease by utilizing augmented reality and is essential in fields that require a high level of accuracy and exactness. The key factors propelling the adoption of  mobile AI  are increasing demand for AI-capable processors in mobile devices, the increasing number of AI applications and the upsurge of cognitive computing. Further, rising demand for edge computing in IoT and devoted low-cost AI chips for vision and camera applications in mobile devices are anticipated to provide growth opportunities over the next few years. However, the limited number of AI experts and premium pricing of AI processors are the factors restrai
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Tracking the Transforming AI Chip Industry

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Embedded AI can transform a tabletop speaker into a personal assistant; give a robot brains and dexterity; and turn a smartphone into a smart camera, music player, or game console. Traditional processors, however, lack the computational power to support many of these intelligent features. Chipmakers, startups, and capital are taking this opportunity to the market. Artificial intelligence chip s are a class of microprocessors designed for applications including machine learning, machine vision, and artificial neural networks. The artificial intelligence technology helps in minimizing the risks associated with human life in many industry verticals. Growth in the internet of things (IoT) sector and developments in smartphone integration is majorly driving the global market. However, lack of skilled workforce is hindering the growth of the artificial intelligence chip market. Rise in adoption in the developing economies is opportunistic for the market. The global artificial intellige
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Artificial Intelligence as a Service: Democratizing Artificial Intelligence with AI as a Service

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AI as a Service is proving to be a boon for SMBs in terms of bridging the gap that existed between enterprise-scale organizations and SMBs Artificial intelligence as a service is provided by the third-party as an outsourced service. It facilitates the organizations and people for exploring various kinds of avenues for different purposes with less investment for initial installation and consists of low risk. Most smart vendors, whether professional service firms, software firms, or consultants collaborate or offer with firms which can provide a complete suite of services to support a large-scale artificial intelligence solution. Growing cloud adoption has ushered in an era where businesses of all sizes have equal and fair access to advanced computing capabilities. Digital revolution has broken the entry barriers that had until now prevented small and medium businesses from accessing the benefits of advanced technology available to large organizations. One such innovative service
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Machine Learning Chip: Smart Strategies of the Research and Development Process

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Machine learning is a branch of artificial intelligence that enables machine to develop the ability for self-learning and adaption through experience without being explicitly programmed. It is considered as a method of data analysis that automates analytical model building. Machine learning has been present from decades but not been widely used due to lack of big data it requires for processing. Over the last several decades, enterprises have been dependent greatly on analytics to provide them with competitive advantage and enable them to be more effective. But, enterprises now want real time analytics and the capability to transform data into actionable insight. This has steered the development of machine learning chip. The rising complex and large dataset has steered the need for artificial intelligence solutions has majorly driven the machine learning chip market . Further, declining hardware cost has supplemented the demand for machine learning chip across diverse verticals.
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Artificial intelligence In Healthcare: Artificial Intelligence Moving Towards Brighter Future in Healthcare Industry

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Artificial intelligence (AI) is creation of unique systems using algorithms and software that can perform certain tasks without human intervention and instructions. Artificial intelligence comprises integration of several technologies such as machine learning, natural language processing, reasoning, and perception. Artificial intelligence is used in healthcare for approximation of human cognition and analysis of complex medical and diagnostic imaging data. Artificial intelligence has revolutionized the healthcare industry by designing treatment plans, medication management, assisting in repetitive tasks, and drug discovery. Increasing adoption of precision medicine has made enabled simplicity of management and cost reduction. Increasing application in genomics research coupled with incremental innovation in robotic personal digital assistants boost industry growth. According to the The Insight Partners Knowledge Services market research report, the artificial intelligence
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The Emerging Role of AI in Edge Computing

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Internet of Things (IoT) has taken businesses today by storm and has become one of the centric strategies for businesses to emerge as the leaders in the market. Most of the businesses have laid enhanced importance towards IoT implementations into the business models for achieving enhanced levels of customer service. Harnessing the power of IoT, business models have witnessed a paradigm shift in their operations. With IoT, the analysis and processing remained limited to the central authority, however, with the advent of AI in edge computing, the analysis and processing power has been transferred to the edge devices.  Increasing penetration of machine learning and advancements in the Artificial Intelligence technologies is anticipated to be one of the major factors driving the AI edge computing market. Higher cost of implementations coupled with weak infrastructures for AI, hinders the adoptions of this technology further posing a challenge to the growth of AI edge computing market.
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Artificial Intelligence in Marketing Smart Strategies of the Research and Development Process

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Artificial intelligence in marketing helps the marketers to leverage customer's data to draw important insights like buying behavior of the customer. Artificial Intelligence in marketing makes use of various concepts like machine learning to know the pattern of the consumer which helps the companies to plan their next move accordingly. Artificial Intelligence in marketing is used in various applications such as dynamic pricing, social media advertising, and sales & marketing automation among others.  The global Artificialintelligence in marketing market is experiencing high demand due to the increasing popularity of social media. Various sectors like BFSI, retail, and consumer goods are using these solutions to gain more revenues. The growing use of social media and the growing popularity of customer-centric marketing strategies are the major factors that are expected to support the growth of artificial intelligence in marketing market whereas data privacy issues are th
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