Internet of Things is used to collect the huge amount of data that is required by the AI algorithms. And, these algorithms convert the data into actionable results that can be implemented by the IoT devices. Why IoT needs AI, read this article.
Lera Technologies delivers Internet of Things (IoT) solutions and Internet of Things (IoT) consulting services to implement a data-driven approach for strategic business growth.
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Connected devices that are set up by the Internet of Things (IoT) are here to exist for a long time- and the system will only flourish. As such, IoT renders a number of remarkable opportunities across industry sectors and processes. Leaders who are intelligent are investing in IoT solutions - and this has resulted in ...
We are exhibitng in MWC Americas San Francisco to discuss on mobile technologies, outsourcing, IoT/M2M, application development services, mhealth, VOIP, etc. Meet us in South Hall, India Pavilion.
Cloud to take up 90% of IoT data by 2020, says IDC. IDC's FutureScape report reveals the latest findings and predictions on the Internet of Things (IoT) between 2015 and 2020. CBR highlights 10 need-to-know predictions from the report's findings. 1.
Lera Technologies is a consulting design engineering services company that excels in product design, software-defined networking, robotics, IoT and containerization to improve business efficiency and performance.
Lera Technologies is a consulting design engineering services company that excels in product design, software-defined networking, robotics, IoT and containerization to improve business efficiency and performance.
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.
Google IO 2016 is a day away and already expectations are keep mounting on the new announcements and improvements. This year from the reasonably hyped...
Internet of Medical things (IoMT) is a collection of internet-enabled medical devices & applications that can communicate independently with each other and are connected to a cloud platform like AWS.