“The vision for the Internet of Things is very powerful – a world in which assets, devices, machines, and cloud-based applications seamlessly interoperate, enabling new business models and services; with big data analytics as a foundation to support intelligent decision making in this connected world. As with every vision, the question is how to make it happen. This presentation provides key success factors for IoT, as well as a detailed overview of concrete IoT uses cases in the areas of automotive and transport, manufacturing and supply chain, as well as energy. Finally, a framework for IoT implementation is presented, which helps making your IoT projects a success.”
This webinar is focus on understanding active risk management with high performance data and grid management.
For a long time, the industry’s biggest technical challenge was squeezing as many compute cycles as possible out of silicon chips so they could get on with solving the really important, and often gigantic problems in science and engineering faster than was ever thought possible. Now, by clustering computers to work together on problems, scientists are free to consider even larger and more complex real-world problems to compute, and data to analyze.
“Our architecture permits tens of thousands of SSDs to be connected together and accessed in a parallel and concurrent way using direct mapping of memory accesses from a local machine to the I/O bus and memory of a remote machine. This feature allows for data transmission between local and remote system memories without the use of operating system services. It also enables a unique linear scalability of SSDs bandwidth and IOPS and consequently allows computation and data access to scale together linearly. This totally eliminates the bottleneck in bandwidth or IOPS and provides optimal dimensions of performance, capacity, and computation with an unmatched flexibility at a fraction of the costs.”
McKinsey has issued a 146 page report this month: Game changers: Five opportunities for US growth and renewal. According to them, Big Data will add $155 to $325 Billion to the US economy by 2020, which represents 0.8 to 1.7 % of GDP. Big-data analytics is a productivity tool. Data is captured everywhere from data […]
By Dan Olds of Gabriel Consulting Procter & Gamble is going to quadruple the company’s staff of business analytics experts in the near future. This is despite the fact that the company is reducing spending in other categories, including significant non-manufacturing layoffs and a hefty 30% cut (equaling $1 billion) in annual IT spending. So […]
Paul Sonderegger from Oracle Endeca writes that the biggest bottleneck in making Big Data productive is labor. In a big data world, data modeling, integration, and performance tuning are governors of data use because they rely on relatively slow manual processes done by relatively expensive specialists. In an ironic twist, the substitution of computing capital […]