In the world of sports, becoming the fiercest competitor possible is the name of the game.
Today, the intersection of cloud technology and smart sports equipment is helping athletes and para-athletes perform at a world-class level. As a techie, you might admire the new shock absorbers built for downhill skis so paraplegics can hurl down a mountain at 70mph. Or how can you not marvel at the development of the prosthetic retina that can help blind athletes perform the sports they love?
Another amazing advancement is highlighted in Rick Smolan’s book, The Human Face of Big Data. Sheila Nirenberg, an associate professor at Weill Cornell Medical College, developed a way to enable patients with macular degeneration to see again. Awesome! As stated in the book:
“Using an array of high-speed, parallel processing computers, Nirenberg and her team embedded custom software in microprocessors and cameras that will be built into eyeglasses…images captured by the cameras will be translated into code in the form of thousands of pulsing lights, which can be recognized by the brain.”
It won’t be long before today’s visually impaired athletes can use this technology to compete at the highest level. And more than ever, this technology will rely on data that flows quickly and in real-time.
This is where cloud computing plays a key role – allowing data to be easily accessed and stored, so that mobile devices and the peripherals of tomorrow (connected eyeglasses, etc.) can provide new experiences to athletes. These devices will be able to transmit data, communicate to each other (M2M) and relay to the user (M2P) vital information needed for the athlete.
Advancements in medical technology and cloud computing are giving us a new perspective on life
For example, a partially blind, or fully blind cross-country skier may one day have the capabilities through the Internet of Everything (IoE) to communicate through M2P technology while on the course. What will this mean? Sensors indicating course characteristics (downhill, uphill, turns, starting line/finish line, timing, etc.) will be able to communicate and relay the information in real-time to the skier. These types of mobile-enabled experiences are powered through cloud infrastructure and applications.
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Tags: Big Data, blindness, Cisco, cloud, Cloud Computing, connected athlete, data, data in motion, Internet of Everything, IoE, M2P, Rick Smolan, Sheila Nirenberg, The Human Face of Big data, Weill Cornell Medical College
Choosing a career in technology turned out to be one of the best decisions of my life. At one time, however, it seemed counterintuitive to enter such a male-dominated industry. I’m not an engineer. I don’t have a degree in computer science. The only traditional tech skill I possessed was a small knowledge of HTML programming language, which I at one time used to put up static web pages. Today, that skill is useful only for editing blog posts.
What I was trained for was design. I moved into technology because it offered me a fresh way to leverage those talents while having a bigger impact. As a designer, I was taught to understand the context of a problem and to generate insights and creative solutions. I switched from a career in print design because technology was providing exciting new ways to reach people. I found it fascinating and wanted to be a part of it.
Apparently, I’m in the minority. A Forbes article cited research from Maria Klawe, a computer scientist and president of Harvey Mudd College, in listing some of the main reasons women don’t choose tech careers. Many believe that they won’t find a career in tech interesting, while others fear they won’t be good at it. A third concern is working in such a predominantly male bastion.
I have to say that my experience on all three counts has been just the opposite.
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Tags: Big Data, Cisco, Cisco Consulting Services, FutureOf, innovation, Internet of Everything, internet of things, IoE, IoE Value Index, IoT, mobility, retail, Women in Technology
Retail success has always been about delivering on the “4 Rs”: getting the Right products to the Right place at the Right time and for the Right price. While that success formula remains valid, technology-enabled advancements promise to disrupt how — and how well — retailers will be able to deliver on each element.
“Omnichannel” is a theme that has dominated retailers’ mindshare the last several years as digital influence and mobile connectivity become bigger and bigger elements in the shopping journey. Now emerging are the Internet of Everything (IoE) and Big Data analytics. While pervasive IoE connectivity generates a deluge of data, new analytics tools are helping to turn this raw data into actionable insights. The mashup of omnichannel, Big Data, and IoE is positioned to drive new operational benchmarks through a focus on the retail industry’s new “4 Ps of Performance”: Precision, Personalization, Prediction, and Platforms.
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Tags: analytics, Big Data, Cisco, Cisco Consulting, Internet of Everything, IoE, omnichannel, retail
The Cloudera Sessions Roadshow helps companies to navigate the Big Data journey. As Hadoop takes the data management market by storm, organizations are evolving the role it plays in the modern data center. This disruptive technology is quickly transforming an industry, the value it adds to the modern data center, and how you can leverage it today. When combined with Cisco Unified Computing System™ (Cisco UCS®), the joint solution helps you exploit the valuable insights contained in your data to drive meaningful change in your business.
The Cloudera Sessions roadshow is designed to help organizations to identify where they are on their Big Data journey and to navigate how to stay the course in a low-risk, productive way. The Cloudera Sessions’ attendees will benefit from hearing about Cloudera and its partners’ experiences with real-world deployments, as well as those of Hadoop users who plan and manage them.
Cisco is partnering with Cloudera to offer a comprehensive infrastructure and management solution, based on the Cisco Unified Computing System (UCS), to support our customers big data initiatives. As a proud sponsor for this event, I would encourage you to join us at one of the following scheduled stops to learn more about our joint solutions for big data:
San Francisco on June 4, 2014 (Registration Link Available Soon)
New York on June 18, 2014 (Registration Link Available Soon)
More Cities to be added
Tags: Big Data, Blade Servers, Cisco UCS, Cisco Unified Computing System, Cloudera, Cloudera Sessions, Hadoop, Rack Servers, UCS
Data has always been important for many (if not all) companies. Today however it is becoming increasingly easier to collect data about customers, business transactions, devices etc…, . This data enables companies to (more dynamically) optimize their business models and processes and differentiate themelves from their competitors. Before embarking on a (Big) data strategy it is important to understand what is driving this evolution and what are basic architecture building blocks to take into account when transforming into a more data driven enterprise.
Several trends are fueling the evolution towards a more data-driven enterprise: Price/performance improvements in network, storage and computing and the rise of Cloud computing , make it more cost effective to deploy large IT infrastructures and capture data. New data management technologies and products such as Hadoop (MapReduce) and NoSQL/NewSQL provide scalable and more cost effective solutions than traditional SQL databases for various classes of problems. The IT consumerization trend results in departments more actively pursuing analytics capabilities. Another important trend is the Internet of Things (IoT): The advent of cheaper sensors and improved connectivity are bridging the gap between the physical and digital world, enabling collecting data from more devices and environments. This sensorization is unlocking the potential to gather enormous amounts of data and details about almost everything.
These trends are creating new challenges and opportunities to harness and understand the data tsunamis, and leverage the analytics for decision making purposes, to better monitor, control, and understand complex systems from business dashboards to IoT eco-systems. Read More »
Tags: analytics, architecture, Big Data, Corporate Technology Group, CTG, Enterprise