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The growing demand for digital technology and shifting customer demands have resulted in the increased adoption of artificial intelligence (AI) solutions to manage financial assets and enhance the customer experience. AI solutions are predominantly dependent on machine data that are generated from multiple sources, including data collected from customers and processes. The financial institutions, especially investment banks, have started using AI based analytics solutions to analyze data and identify the correlation & patterns to improve the asset management capability. These technologies are among the prominent solutions to deal with ever-changing financial regulatory & compliance environment to face the associated market risk and understand both income tax & corporate tax laws in an efficient way. AI in financial asset management is also witnessing a strong presence in analyzing consumer behavior patterns to bring new offerings and is finding new distribution channels for the financial institutions that can create a competitive advantage with the use of these technologies. As data-driven financial decision becomes a more prominent factor for increasing profitability, the market is expected to witness increased usage of AI solutions across banks, financial institutions, and insurance firms. Investment banks have been the primary users of the AI technology to improve risk assessment of the customer to optimize portfolios. Furthermore, IoT, cloud technology, edge computing, security-related technology (blockchain), etc. are supporting the market growth. This trend is expected to continue during the forecast period 2019-2025, fueling the market growth at a CAGR of 33.84% to reach revenue of $11.39 billion by 2025.

The smart ports market is estimated to grow from USD 1.7 billion in 2021 to USD 5.1 billion by 2026 at a CAGR of 23.9% during the forecast period. Growing need to reduce carbon emissions from the maritime industry and the growing adoption of Industry 4.0 to enhance port efficiency are the key factors driving the growth of the smart ports market. Growing adoption of big data, IoT, blockchain, artificial intelligence, and digital twin to increase the operational efficiency of ports is expected to offer profitable opportunities for the smart ports market during the forecast period.

The Smart Ports Market is estimated to grow from USD 1.7 billion in 2021 to USD 5.1 billion by 2026 at a CAGR of 23.9% during the forecast period. Growing need to reduce carbon emissions from the maritime industry and the growing adoption of Industry 4.0 to enhance port efficiency are the key factors driving the growth of the Smart Ports Market. Growing adoption of big data, IoT, blockchain, artificial intelligence, and digital twin to increase the operational efficiency of ports is expected to offer profitable opportunities for the Smart Ports Market during the forecast period.

The smart ports market is estimated to grow from USD 1.7 billion in 2021 to USD 5.1 billion by 2026 at a CAGR of 23.9% during the forecast period. Growing need to reduce carbon emissions from the maritime industry and the growing adoption of Industry 4.0 to enhance port efficiency are the key factors driving the growth of the smart ports market. Growing adoption of big data, IoT, blockchain, artificial intelligence, and digital twin to increase the operational efficiency of ports is expected to offer profitable opportunities for the smart ports market during the forecast period.

The smart port market is projected to reach USD 5.1 billion by 2026 from an estimated USD 1.7 billion in 2021, at a CAGR of 23.9% during the forecast period. Increase in dependency on real-time data to increase port efficiency and the growing adoption of digital technologies by seaports are key factors driving the growth of the smart port market. Upgradation and expansion of existing ports to smart ports and adoption of IoT, Artificial Intelligence and Blockchain, are expected to offer profitable opportunities for the smart port market during the forecast period.

The Global Smart Cities Market is expected to reach a mark of USD 3,000 million by 2024, at a CAGR over 21% during the forecast period. Significant growth in next-generation technologies such as artificial intelligence (AI), personalized healthcare, sustainable energy generation and robotics are driving the smart cities' future. Moreover, increase in residential preference towards adoption of advanced information and communication technologies (ICT) escalates the future market growth.

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The global smart port market is expected to increase significantly, owing to rapid technological advancements and rising demand for effective port operations. According to a MarketsandMarkets analysis, the market is predicted to grow rapidly in the coming years, driven by factors such as automation, digitalization, and IoT integration. Smart ports use artificial intelligence, blockchain, and big data analytics to improve operational efficiency, maximize resource usage, and streamline supply chain procedures. Smart ports are reinventing the marine industry by focusing on increasing security, decreasing congestion, and limiting environmental impact, while also meeting the changing needs of global trade and logistics.

Machine learning is an artificial intelligence (AI) technology which allows machines to learn by using algorithms to interpret data from connected 'things' to predict outcomes and learn from successes and failures.

Marketers are now using AI to write their Facebook and Instagram ad copy. It's no secret that Facebook is one of the most lucrative platforms for advertisers. As of 2018, there are over 4 million active Facebook advertisers worldwide. AI is allowing advertisers to dramatically boost the efficiency of their campaigns and workdays, but its use is most prevalent in programmatic advertising. Artificial Intelligence (AI) can actually support the automation of your Facebook advertising campaigns. Facebook is offering a new service to its advertising customers that goes beyond micro-targeting ads based on what it knows about its users. The new "loyalty prediction" service allows you to get information based on more than 2 billion individuals and generates millions who are at risk of switching to a competitor in the near future.

Global AI in Supply Chain & Logistics Market to reach USD 10157.17 Million by 2025. Global AI in Supply Chain & Logistics Market valued approximately USD 502.9 Million in 2017 is anticipated to grow with a healthy growth rate of more than 45.60 % over the forecast period 2018-2025. Growth in this market is mainly driven by factors such as growing big data, demand for greater visibility and transparency into supply chain data and processes, and adoption of AI for improving consumer services and satisfaction.

In 2020, AI in retail is a necessity. The ever-evolving retail landscape has several use cases for Artificial Intelligence. In this article, I will be covering the need for AI in retail, the biggest problem faced by the retail industry, and 7 real use cases for AI in retail.

There is a constant convergence of 4 vital technologies, which are self-assured to alter the ICT ecosystem . Such technologies are 5G cellular, Data Analytics, AI , and IOT . Each of these technologies will have a large impact in their own right, both on ICT as well as on all majority industry verticals and technology market, which depends on the telecom and IT services.

We are a digital transformation that offers a business development "BluePrint" We specialize in Digital Strategy - Digital engineering - AI(Artificial Intelligence) - Internet of Things(IOT)

Opendoor, a San Francisco-based real estate technology company that uses artificial intelligence to offer homeowners cash for their homes, has announced it is now serving select counties in New York and New Jersey.

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AI stocks under $10 provides a gateway for investors to access the potential of AI-driven growth without the barrier of high entry costs