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Montréal: Artificial intelligence serving the common good

Home to a thriving artificial intelligence ecosystem, Montréal has a dynamic scientific community that includes the world’s largest concentration of academic researchers in deep learning.

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Study Coverage 1.1 Artificial Intelligence (AI) Chips Product 1.2 Key Market Segments in This Study 1.3 Key Manufacturers Covered 1.4 Market by Type 1.4.1 Global Artificial Intelligence (AI) Chips Market Size Growth Rate by Type 1.5 Market by Application 1.5.1 Global Artificial Intelligence (AI) Chips Market Size Growth Rate by Application 1.6 Study Objectives 1.7 Years Considered 2 Executive Summary 2.1 Global Artificial Intelligence (AI) Chips Production 2.1.1 Global Artificial Intelligence (AI) Chips Revenue 2014-2025 2.1.2 Global Artificial Intelligence (AI) Chips Production 2014-2025 2.1.3 Global Artificial Intelligence (AI) Chips Capacity 2014-2025 2.1.4 Global Artificial Intelligence (AI) Chips Marketing Pricing and Trends 2.2 Artificial Intelligence (AI) Chips Growth Rate (CAGR) 2019-2025 2.3 Analysis of Competitive Landscape 2.3.1 Manufacturers Market Concentration Ratio (CR5 and HHI) 2.3.2 Key Artificial Intelligence (AI) Chips Manufacturers 2.4 Market Drivers, Trends and Issues 2.5 Macroscopic Indicator 2.5.1 GDP for Major Regions 2.5.2 Price of Raw Materials in Dollars: Evolution 3 Market Size by Manufacturers 3.1 Artificial Intelligence (AI) Chips Production by Manufacturers 3.1.1 Artificial Intelligence (AI) Chips Production by Manufacturers 3.1.2 Artificial Intelligence (AI) Chips Production Market Share by Manufacturers 3.2 Artificial Intelligence (AI) Chips Revenue by Manufacturers 3.2.1 Artificial Intelligence (AI) Chips Revenue by Manufacturers (2014-2019) 3.2.2 Artificial Intelligence (AI) Chips Revenue Share by Manufacturers (2014-2019) 3.3 Artificial Intelligence (AI) Chips Price by Manufacturers 3.4 Mergers and Acquisitions, Expansion Plans 4 Artificial Intelligence (AI) Chips Production by Regions 4.1 Global Artificial Intelligence (AI) Chips Production by Regions 4.1.1 Global Artificial Intelligence (AI) Chips Production Market Share by Regions 4.1.2 Global Artificial Intelligence (AI) Chips Revenue Market Share by Regions 4.2 United States 4.2.1 United States Artificial Intelligence (AI) Chips Production 4.2.2 United States Artificial Intelligence (AI) Chips Revenue 4.2.3 Key Players in United States 4.2.4 United States Artificial Intelligence (AI) Chips Import and Export 4.3 Europe 5

Artificial Intelligence Market - Global Forecast to 2024: Focus on AI Chipsets, AI in Edge Networks, AI and 5G, AI and Real-time Data Processing

This research also assesses the combined Artificial Intelligence (AI) marketplace including embedded IoT and non-IoT devices, embedded components (including AI chipsets), embedded software and AI platforms, and related services.

The report also includes specific industry recommendations with respect to Artificial Intelligence hardware, software and services including: AI Chipsets: The AI chipset marketplace is poised to transform the entire embedded system ecosystem with a multitude of AI capabilities such as deep machine learning, image detection, and many others.

Multi-processor AI chipsets learn from the environment, users, and machines to uncover hidden pattern among data, predict actionable insight, and perform actions based on specific situations.

AI chipsets will become an integral part of both AI software/systems as well as critical support of any data-intensive operation as they drastically improve processing for various functions as well as enhance overall computing performance.

AI will be required for both security (data and infrastructure) as well as to optimize the flow of information in the form of streaming data and the ability to optimize decision-making via real-time data analytics.

While advanced data analytics software solutions can be very effective for this purpose, there will be opportunities to enhance real-time data analytics by way of leveraging AI to automate decision making and to engage machine learning for ongoing efficiency and effectiveness improvements.

However, the concept of using AI in networking is a relatively new area that will ultimately require a more unified approach to fully realize its great potential.

In addition, AI will assist 5G network slicing, which represents the ability to dynamically allocate bandwidth, and enforce associated service level agreements, and a per-customer and per-application basis.

AI will automate the process of assigning network slices, including informing enterprise customers when the slices they are requesting are not in their best interest based on anticipated network conditions.

AI and Real-time Data Processing: The ability to capture streaming data, determine valuable attributes, and make decisions in real-time will add an entirely new dimension to service logic.

The growing amount of human-oriented and machine-generated from communications, applications, content, and commerce data will drive substantial opportunities for AI support of unstructured data analytics solutions.

The outlook for AI in support of the ICT industry is strong, especially when one considers that the purpose of telecom and IT services is to support virtually every other industry in terms of communications, applications, content, and commerce.

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