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Showing posts from October 27, 2016

Digitally transforming Australian agriculture

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When it comes to Australian agriculture, I can observe that,the industryis steadily becoming more consolidated and integrated, as new government and stakeholder investments grow. Agriculture is being looked upon to fill the export void left by declining mining markets.
One can also observe that, the proximity to attractive Asian markets, a strong institutional framework and a positive inclination to harness technology have made agriculture an attractive sector for investments. Technologies like mobility, cloud and big-data have a proven ability to introduce agility, the quality and quantity of the produce and improve decision-making. It is also clear that, these technologies empower the workforce, the quality and quantity of the produce, reduce human error and ease manual intervention.

Near-term opportunities for cognitive systems in our ever-connected era

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Many findings and analysis converge on the fact that, near-term opportunities for cognitive systems are in industries such as banking, securities and investments, and manufacturing. Cognitive technologies are being used in the banking industry to detect and combat fraud.
One can also observe that, in manufacturing, cognitive systems improve product quality; respond to dynamic fluctuations in product specs by adapting the production to stay within quality targets.
In these segments, IDC finds a wealth of unstructured data, a desire to harness insights from this information, and an openness to innovative technologies.

Software developers and end user organizations in Cognitive Systems and Artificial Intelligence systems

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Increasingly, one can observe that, Software developers and end user organizations have already begun the process of embedding and deploying cognitive/artificial intelligence into almost every kind of enterprise application or process. Identifying, understanding, and acting on the use cases, technologies, and growth opportunities for cognitive/AI systems will be a game changer.
"Recent announcements by several large technology vendors and the booming venture capital market for AI startups illustrate the need for organizations to be planning and undertaking strategies that incorporate these wide-ranging technologies”, " said David Schubmehl, research director, C ognitive Systems and C ontent Analytics at IDC.

The use cases in Cognitive Systems and Artificial Intelligence systems across many industries

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It is now obvious that, the ability to recognize and respond to data flows using algorithms and rule-based logic enables cognitive/AI systems to automate a broad range of functions across many industries.
Based on that dynamic, I can observe that, the use cases that are attracting the most investment in 2016 are automated customer service agents, quality management investigation and recommendation systems, diagnosis and treatment systems, and fraud analysis and investigation. 
Many analysts forecast that, the use cases that will experience the fastest revenue growth over the next five years are public safety and emergency response, pharmaceutical research and discovery, diagnosis and treatment systems, supply and logistics, quality management investigation and recommendation systems, and fleet management.

Biometric availability in Autonomous Driving

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I have a pleasure to recall that, Biometric availability encompasses the driver’s alertness, his or her engagement with the driving process, and even the driver’s ability to manually interact with the system as required. 
For those who are unfamiliar, the key to enabling such a holistic driver monitoring system (DMS) is the use of internal cameras; either stereoscopic or time-of-flight to identify and track facial features, gaze direction, and upper body position. 
ABI Research identifies a number of vision analytics companies active in this space, including EDGE3 Technologies, FotoNation, Jungo Connectivity and gestigon.

Device management in SAMSUNG ARTIK™ Smart Internet of Things (IoT) platform

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For those who are unfamiliar, the new SAMSUNG ARTIK modules are designed to work out of the box with SAMSUNG ARTIK Cloud, an open data-exchange platform that connects devices, applications and other clouds, enabling the Interoperability of Things. 
This means that, device manufacturers can monitor and manage their fleet of deployed devices, both edge nodes and gateways, using SAMSUNG ARTIK Cloud. 
Device manufacturers can identify each device, monitor its connectivity status, manage properties, such as firmware version and battery levels, and remotely execute functions on the device, including reboot, factory reset, firmware update, and reset error code.

Camera-Based Driver Monitoring Systems on Safe, Semi-Autonomous Driving

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The excitements around the Autonomous Driving are increasingly dynamics with a set of holistic initiatives that aim to address the safety challenges of managing human interactions with autonomous systems. Camera-based driver monitoring systems (DMS) are at the heart of this industry.
In effect, one can observe that, leveraging camera-based DMS to provide the host autonomous system with a comprehensive understanding of the driver’s biometric availability is the foundation of safe, semi-autonomous HMI.
“A number of semi-autonomous system launches from OEMs like Mercedes-Benz, Nissan, and Tesla have highlighted the importance of a robust human machine interface, or HMI, in scenarios that require an automated system to work in tandem with a human driver,” says James Hodgson, Industry Analyst at ABI Research’’.

ARTIK 0 family of modules in SAMSUNG ARTIK™ Smart Internet of Things (IoT) platform

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I have a pleasure to recall that, the ARTIK 0 family of modules enables low-power, lightweight, cost-optimized devices targeted at end-devices including HVAC, lighting, industrial sensors, personal health monitoring and more.
I can also observe that, the modules are built on power-optimized ARM Cortex®-M microcontrollers and support low-power wireless standards, such as the ZigBee®, Thread®, or Bluetooth® Smart standards. 
It includes networking stacks, radio frequency (RF) components and precertification for regulatory approval.