Alongside automotive, manufacturing, and healthcare industries artificial intelligence (AI) is poised to have a high impact on the demand-driven consumer electronic industry.Tier-1 OEMs such as LG Electronics, Samsung Electronics, and Whirlpool Corporation have developed AI-driven consumer electronic products leveraging enhanced using experience. Key Questions Answered in this study:What is the significance of artificial intelligence?What are key R&D portfolio areas?Which are the consumer electronic products poised to be impacted by AI in the near term?What is the patent and funding scenario in the AI-driven consumer space?What types of strategies do stakeholders need to undertake to strengthen technologies?What are the key takeaways from the emerging categories of the electronics industry? PRN About Reportbuyer Reportbuyer is a leading industry intelligence solution that provides all market research reports from top publishers For more information: Sarah Smith Research Advisor at Reportbuyer.com

Impact of AI in the Digital and Broadcast Media Industry Impact of'Digitization' in the media space is likely to put over half a trillion USD at stake, as per industry estimates.The digital paradigm in the media industry is expected to restructure the entire business model. In the digital age, user experience has moved away from being content driven to'on-demand' delivery, offered in a device of consumer choice.Emphasis in the coming years is likely to be placed at the intersection of content, technology, and user experience. A number of emerging technologies are disrupting existing business models within the media industry and are offering new opportunities, which traditional enterprises are only beginning to acknowledge. Artificial Intelligence (AI) is being increasingly used to transform the way media houses create content and present them to viewers.AI, by virtue of its data driven intelligence and self-learning abilities, can be used to automate repetitive skill-based jobs. Additionally, AI can power the development of superior prediction engines that offer cutting-edge analytics and business intelligence to media enterprises globally.

Summary GlobalData's "Artificial Intelligence Adoption, Usage & Investment Trends in the Telecoms Industry", report examines the advancement in adoption of AI within the global telecom industry along with the key benefits influencing the deployment and projected investments in AI over the next two years.The report highlights the use cases and applications that have highest growth potential in driving the implementation of AI in the global telecom industry. Additionally, the report covers the information about the market opportunities expected to influence the investment in AI and challenges/ barriers encountered by telecoms businesses. The majority of telecom industry executives consider that their organization is in the development phase of implementing artificial intelligence (AI).Due to significant value and potential that AI has to offer to telecom enterprises companies are moving towards AI solutions and use cases. Improved operational efficiency is expected to be the most beneficial factor of AI for telecom companies over next two years.In total, 40% of surveyed industry executives revealed that their company has plans to invest more than US$1 million in AI during 2018-2020. Moreover, the rising popularity of AI applications within the telecom industry is supported by the increasing complexity in networking caused by growing volume of IoT devices, cloud migrations, the increasing number of OTTs and the arrival of 5G. However, lack of skill-sets and making changes to traditional organizational structures are major challenges faced by the telecom companies to adopt AI.

Artificial intelligence (AI) has worked its way into a variety of industries, from the obvious (autonomous vehicles) to the hidden (anti-money laundering due diligence). But while organizations are clearly recognizing the value associated with incorporating AI into their business processes, they also are encountering a number of challenges with integrating this new intelligence into their operational processes. The value of using algorithms to unmask hidden patterns and then correlate findings with other seemingly unrelated variables to create real "intelligence" is becoming increasingly clear with each completed proof-of-concept (POC) project. But it is the larger, organization-wide deployment of AI that will generate the return on investment (ROI) that companies large and small have been seeking. To fully access the operational and economic benefits of AI, however, organizations are realizing that, in most cases, enabling AI is not a plug-and-play proposition.

Report Scope: In this report, the market has been segmented based on type, deployment, organization size, end-user industries, and geography.The report covers the overview of the global market for machine learning and analyses the market trends, considering the base year of 2016 and estimates for 2017 to 2022. Revenue forecasts from 2017 to 2022 for segmentation based on deployment, organization size, end-user industries, and geography have been estimated with values derived from solutions and service providers' total revenues. The report also includes a section on the major players in the market.Further, it explains the major drivers, competitive landscape, and current trends in the machine learning market. The report concludes with an analysis of the machine learning vendor landscape and includes detailed profiles of the major players in the global machine learning market. Report Includes: - 45 data tables and 32 additional tables - An overview of the global market for machine learning - Analyses of global market trends, with data from 2016 and 2017, and projections of compound annual growth rates (CAGRs) through 2022 - Identification of segments with high growth potential and their future applications - Explanation of major drivers and regional dynamics of the market and current trends within the industry - Detailed profiles of major vendors in the market, including Amazon.com Inc., Alphabet Inc., Baidu Inc., Intel Corp. and Hewlett Packard Enterprise Company Summary Machine learning is one of the fastest growing areas of computer science, with a wide range of applications.Machine learning is an application of artificial intelligence (AI) that provides systems with the ability to automatically learn and improve from experience without being explicitly programmed.

The artificial intelligence market is expected to reach USD 190.61 billion by 2025 from USD 21.46 billion in 2018, at a CAGR of 36.62%. The market growth can be attributed to factors such as growing big data, the increasing adoption of cloud-based applications and services, and increasing demand for intelligent virtual assistants. The limited number of AI technology experts is restraining the market growth to a certain extent Software to hold largest market share during forecast period Software is expected to hold the largest share of the artificial intelligence market. Continuous developments have been witnessed in AI software and related software development kits. Also, artificial intelligence software is used in various applications, such as virtual assistants, marketing, search advertising, identity access management, intruder detection, and cybersecurity Market for computer vision technology to grow at highest CAGR during forecast period The artificial intelligence market for computer vision technology is expected to grow at the highest CAGR during the forecast period.

This study provides an analysis of the African Artificial Intelligence (AI) market. The stakeholder scope includes international technology corporations and African start-ups; technology scope includes computer vision, deep learning, machine learning, natural language processing, neural networks, predictive analytics, and robotics; and the end-user scope includes a number of industries such as banking and financial services and insurance (BFSI), healthcare, manufacturing, mining, hospitality and media, amongst others. This study details the key components of an AI ecosystem and explains how AI converges with technologies such as analytics, Internet of Things (IoT), Augmented Reality (AR) and Virtual Reality (VR). It provides a snapshot of global AI trends in terms of key investments, strategy and competition, and also lists the acquisition-led strategies adopted by leading technology corporations including Google, Apple, Microsoft, Intel, Facebook, Salesforce and IBM. This study provides an analysis of the African AI market, including the competitive landscape and the extent of AI market development across key African countries, along with the impact potential and extent of market penetration of various AI technologies and the degree of AI adoption across key industry verticals.

The Global Service Robotics Market is a strategy report from Berg Insight analysing the latest developments on this market covering floor cleaning robots, robot lawn mowers, milking robots, humanoid robots, telepresence robots, powered human exoskeletons, surgical robots, AGVs, AMRs and UAVs. This strategic research report from Berg Insight provides you with 240 pages of unique business intelligence including 5-year industry forecasts and expert commentary on which to base your business decisions. The future is here: Service robotics will change our lives Robots are now being increasingly adopted for service applications, both by consumers and professionals. The service robot market comprises many different types of robots, most of which can be used for applications in multiple industries. At a consumer level service robots are commonly used for tedious and repetitive tasks such as domestic chores, or for leisure and entertainment purposes.

Overview: Artificial Intelligence (AI) and Cognitive Computing are increasingly integrated in many areas including Internet search, entertainment, commerce applications, content optimization, and robotics. The long-term prospect for these technologies is that they will become embedded in many different other technologies and provide autonomous decision making on behalf of humans, both directly, and indirectly through many processes, products, and services. AI will anticipated to have an ever increasing role in ICT including both traditional telecommunications as well as many communications enabled applications and digital commerce. Fast growing AI technologies for consumer facing industries include chat bots and Virtual Personal Assistants (VPA) and smart advisors. These technologies leverage autonomous agents to enable an ambient user experience for applications, services, and enhanced commerce.

KEY DYNAMICS: Software "robotic" applications recently picked up lot of media attention which acts like excel macros and replicates human employee's mundane tasks/actions is transforming the enterprises internal processes and IT functions. RPA tools has witnessed an evolution in terms of capabilities, value delivery, deployment models and impact on global mindset. Organizations dealing with global pressure to increase their revenues, transform their business models and reduce operational costs are leveraging RPA solutions and services in conjunction with machine learning, cognitive computing, artificial intelligence, natural language processing, speech recognition, vision technology, big data analytics, and many more technologies. Integration of RPA capabilities with these above mentioned technologies broadens the application areas and support companies to become agile in their digital journey. However, this is creating challenge for human workers to be replaced and force them to think hard on re-evaluating their existing skill base and reskill to stay relevant in the market.