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Collaborating Authors

Yammer: Collaborate, Connect, and Share - Programmer Books

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Build a successful Yammer implementation, make your workplace social and collaborative, create a culture of sharing, form expert communities and generate innovative solutions. Besides, this book will help to enhance your collaboration with your suppliers, partners, and clients. The author starts by giving an introduction to social collaborations and successful implementations of Yammer. Along the way, he explains the art of community management in Yammer using his hands-on experience of building communities. He then explains methods to keep a Yammer network engaged followed by a description of running a campaign on Yammer.


Yammer Collaborate Connect and Share PDF

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Build a successful Yammer implementation, make your workplace social and collaborative, create a culture of sharing, form expert communities, and generate innovative solutions. Besides, this book will help to enhance your collaboration with your suppliers, partners, and clients. The author starts by giving an introduction to social collaborations and successful implementations of Yammer. Along the way, he explains the art of community management in Yammer using his hands-on experience of building communities. He then explains methods to keep a Yammer network engaged followed by a description of running a campaign on Yammer.


Hardware Mathematics for Artificial Intelligence

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Article written by John A. Swanson, Sr. Product Marketing Manager, Synopsys Artificial intelligence (AI) has the potential to fundamentally change the way we interact with our devices and live our lives. Petabytes of data efficiently travels between edge devices and data centers for processing and computing of AI tasks. The ability to process real world data and create mathematical representations of this data is a key component, and in some cases, a product differentiator. Accurate and optimized hardware implementations of functions offload many operations that the processing unit would have to execute. As the mathematical algorithms used in AI-based systems stabilize, the demand to implement them in hardware increases which is advantageous for many AI applications freeing compute resources with hardware implementations.



AI at the edge – challenges and opportunities - Techerati

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There exists no set model for the successful implementation of AI at the edge – it is instead a case of flexibility, writes Canonical's Carmine Rimi As individual technologies, both artificial intelligence (AI) and edge computing have grown in stature over recent years. The connected home has brought a vast array of sensor-led solutions to the fore – remote-controlled heating, lighting and entertainment – while many laptops and tablets already possess the AI necessary to convert hand-written notes into text, creating instant designs on the screen. While the convergence of the two is still in its infancy, together they hold the potential to revolutionise the lives of consumers and businesses alike. But it is not a marriage without its challenges, especially when it comes to practical implementation. AI at the edge is not a distant dream.