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Showing posts from April 19, 2017

IBM developed PowerAI to accelerate enterprise adoption of open-source machine and deep learning frameworks

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I have a pleasure to recall that, IBM developed PowerAI to accelerate enterprise adoption of open-source machine and deep learning frameworks used to build cognitive applications. PowerAI reduces the complexity and risk of deploying these open source frameworks for enterprises on the Power architecture and is tuned for high performance.

Capabilities for large-scale data processing, predictive analytics, and scientific computing

Steadily and surely, the Anaconda platform brings powerful capabilities for large-scale data processing, predictive analytics, and scientific computing to simplify package management and deployment. Developers using open source ML/DL components will now be able to use IBM PowerAI as the deployment platform and take advantage of Power optimization & GPU differentiation for NVIDIA.

Deep learning, as one of the fastest growing fields of machine learning

For those who are unfamiliar, as one of the fastest growing fields of machine learning, deep learning makes it possible to process enormous datasets with millions or even billions of elements and extract useful predictive models. Deep learning is transforming the businesses of leading consumer Web and mobile application companies, and it is quickly being adopted by more traditional business enterprises as well.

Identify patterns in data, uncover key insights and transform basic data into a goldmine of intelligence

Steadily, Anaconda is empowering leading businesses across industries worldwide with tools to identify patterns in data, uncover key insights and transform basic data into a goldmine of intelligence.I can observe that, now optimized on IBM Power, with Anaconda developers will also gain access to the libraries in the IBM PowerAI Platform for exploration and deployment in Anaconda Enterprise.

Anaconda Open Data Science Platform to IBM Cognitive Systems

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As an Open Data Science platform,Anaconda, steadily will integrate with the IBM PowerAI software distribution for machine learning and deep learning that makes it simple and fast to take advantage of Power performance and GPU optimization for data intensive cognitive workloads. Anaconda on IBM Cognitive Systems is on an exciting curve to empower developers and data scientists to build and deploy deep learning applications that are ready to scale.

Deep learning performance on general purpose infrastructure powered by Intel

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Steadily, the advancement of technologies related to artificial intelligence (AI) and deep learning are accelerating the creation of applications ranging from the Internet of Things (IoT) to 5G that further enhance the native value of data. On this momentum, Japan-based Preferred Networks Inc. (PFN), and Intel are teaming to help make Artificial Intelligence (AI) development easier and more affordable. The collaboration combines both companies’ technologies to help optimize the development and execution of applications that use advanced Artificial Intelligence (AI) and deep learning frameworks.

Mark et Dynamics of the global Precision Farming Software Market

Numerous sources and findings converge toward the following realities Market Drivers: Government Support to Advanced Farming Techniques Advancements in Precision Farming Increasing Adoption of Precision Farming Provides Wide-Ranging Benefits Market Restraints : Lack of Standardization in the Precision Farming Lack of Technical Awareness Among Farmers Market Opportunities : Increasing Application of Cloud Technology in Agriculture Sector Integration of Mobile Technologies with Agricultural Techniques Market Challenges : High Initial Investment Lack of Technical Professionals.

North America and Asia Pacific within the global Precision Farming Software Market

Beyond some critical challenges such as high initial investment and lack of technical professionals, one can clearly observe that, North America leads the momentum of the global Precision Farming Software Market due to high awareness among farmers to use advanced technologies for farming in the region. According to Research and Markets, Asia Pacific is expected to grow high due to growing demand for such software in China, India etc. to meet the global food demand by enhancing productivity.

Global Precision Farming Software Market Insights, Opportunity, Analysis, Market Shares

The most exciting is to witness that, technological advancement is one of the major factors boosting the demand for the market. The ability to relate site-specific nutrient and irrigation management to suit temporally and spatially inconstant situations can surge application efficacies, decline environmental impacts, advances yields. In effect, with the introduction of GPS (Global Positioning Systems), remote sensing (RS) and geographic information systems (GIS), farmers can now increase water management models as well as nutrient recommendation towards the site-specific situations of every field. For those who are unfamiliar, extensive variations in soil properties, nutrient and water availability happen across high number of fields. According to Research and Markets, the global precision farming software market is expected to grow with the CAGR of approximately 14.5% during the forecast period, 2017 – 2023.