The Demise of the Personal Computer - 3 views
Roadblocks to New Computer Technologies - 0 views
How to Speed Up your Computer - 0 views
MaKey MaKey | Buy Direct (Official Site) - 2 views
New scouts badge helps young digital makers to 'be prepared'... digitally | Nesta - 2 views
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How to become Data Scientist in 2019? | edWisor - 0 views
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Are you starting for your career as a data scientist? To become an expert in data science you need to begin from the ground up. And you need to get a step-by-step guide to becoming a data scientist and for learning a particular skill. Instead of jumping for a master program in computer science you need to focus mathematics, python,r-programming or statistics or develop a skill in data science. If you are looking out for such a learning institute then you could also take a walk for edwisor.com as it works for enrolled students in data science career program as well as in the hiring process and gets 4 Guaranteed interviews at top organizations.
Adoption of intelligent systems in the data-driven financial sector will steer the grow... - 0 views
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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.
GNOME: The Free Software Desktop Project - 2 views
The future of Artificial Intelligence - 0 views
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Artificial Intelligence as a Service in Healthcare: Smarter Care with Less Complexity - 0 views
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Artificial Intelligence as a Service (AIaaS) is emerging along with other models of cloud computing such as SaaS, PaaS, IaaS, and FaaS. AIaaS helps healthcare providers and startups access AI tools. They can do this without spending money on expensive infrastructure. AIaaS is an emerging but important service model in healthcare, enabling advanced diagnostics, process automation, and improved patient care.
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