One thing the IoT World Forum reinforced was the need for collaboration across the industry. No one company will represent the Internet of Things. I also saw a lot of passion. Everyone there was excited and ready to help create a more connected world. This is why I’m excited to announce open nominations for a new program here at Cisco: Cisco Champions for Internet of Things!
Are you passionate about the Internet of Things and Cisco technology? Do you love sharing your knowledge? Do you want unique access to Cisco experts? Today is your lucky day. From now through January 10, 2014, nominate yourself, a friend, a mentor, or a luminary in the community for inclusion in this program.
Here’s what’s in it for you: http://www.cisco.com/go/ciscochampions
Submit your nomination today to firstname.lastname@example.org! Be sure to include “IoT” or “Internet of Things” in your nomination, so it will be routed correctly. All Cisco Champions for Internet of Things will be selected and alerted no later than January 17, 2014.
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Tags: Cisco, Cisco Champions, Internet of Everything, internet of things, IoE, IoT, Nominations Open
Once again, the holiday season is upon us. It’s a time to reconnect with friends and family, share memories and relax.
Unfortunately, today’s busy world prevents many of us from physically being together during this special time of year. But these days, the Internet of Everything is starting to be able to bring more people, things and traditions together through immersive mobile video and telepresence experiences.
Video Drives Experiences
Gone are the days of trying to capture memories with old-school video cameras. New waves of cloud-based, mobile, and video applications and machine-to-machine connections are documenting our lives in cool new ways. These are much more useable and sharable, and fun. These applications and connections are also contributing to the explosion of mobile data traffic. In fact, because mobile video content has much higher bit rates than other mobile content types, mobile video will generate much of the mobile traffic growth through 2017, according to Cisco VNI.
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Tags: Cisco, data, Internet of Everything, internet of things, IoE, IoT, people, process, TelePresence, things, video
This blog is the third of a series on how retailers are addressing the challenges of becoming an omnichannel business. We’ve talked about how omnichannel selling is not really about rushing to invest in some whiz-bang technology – in fact, I think stores often try to do too much at one time.
Instead, a smart approach to your implementation is to find the low-hanging fruit – projects that have the highest probability of effectiveness and can be measured against business targets as a whole. Remember that every store has its niche, and one size does not fit all. By achieving rapid successes up front, you gain funding for the next piece of your strategy, building from success to success to achieve omnichannel entry.
For example, some retailers look at how to make it easier for shoppers to buy and return where they want. Stores don’t carry the same selections from region to region, and they need processes and systems to make such an approach successful. The key is inventory management: figuring out how to sell, reorder, and exchange products in stores that also serve as fulfillment centers.
Other retailers focus on building a strong relationship with shoppers through excellent customer service. For example, instead of picking up the red bat phone or having “Customer assistance on Aisle 3” called over the loudspeaker, consumers can contact remote experts on their own mobile device or through a kiosk. Still other stores may put resources into user interfaces, branding, and site useability. These personalized approaches also pay off in better information about the customer, allowing retailers to use video analytics and sensors to get help to the shopper faster.
To help stores define their best path forward, they often make use of “innovation platforms,” systems designed to allow you to quickly set up and try out new merchandising, practices, or seasonal locations. Innovation platforms let you experiment with capabilities that leverage organizational strengths, hitting on the cylinders you want to address. Each success helps build the business justification for the next stage, supported by your cost/benefit analyses, baselines, and measurements.
Let’s talk more about this at the NRF Big Idea Sessions, where I’ll be speaking on Tuesday, Jan. 14, 2:00-3:00 ET, in Room 4. My topic is “Detect, Connect, Engage: Enhance your Customer Experience with Mobility,” and I’ll discuss how to personalize the mobility journey and new strategies for delivering a meaningful customer experience. Visit Cisco’s NRF website to learn more about these very popular seminars. As well, please take time to attend some of the demos in Cisco booth #1954. These include several technologies that fulfill the requirements discussed above.
I’ll see you at NRF!
Tags: Big Idea Sessions, Cisco, customer experience, innovation platforms, mobility, NRF, omnichannel, retail, Rose Depoe, seminar, shopper
Each week, we’ll highlight the most important Cisco partner news and stories, as well as point you to important, Cisco-related partner content you may have missed along the way. Here’s what you might have missed this week:
Wow, winter seems to have taken hold early this year. Here in North Carolina, we are certainly seeing colder temperatures than normal this time of year. My dogs certainly seem to appreciate a warm spot on the couch more these past few days.
Even though temps are dropping outside, we are, of course, keeping the fires going here at Cisco. Even as we are heading toward the holiday season where we will all enjoy some time with friends and family, we still have a lot going on for partners. Here’s a little recap of the week!
Off the Top
As part of our Partner Voices series, we like to highlight the successes of our partners using Cisco products and services to solve customer issues. This week, we had the opportunity to speak with MCPc about a recent airport project they completed. Read More »
Tags: Cisco, MCPc, midmarket, partner, partner weekly rewind, Weekly Rewind
In the last chapter of our five part Big Data in Security series, expert Data Scientists Brennan Evans and Mahdi Namazifar join me to discuss their work on a cloud anti-phishing solution.
Phishing is a well-known historical threat. Essentially, it’s social engineering via email and it continues to be effective and potent. What is TRAC currently doing in this space to protect Cisco customers?
Brennan: One of the ways that we have traditionally confronted this threat is through third-party intelligence in the form of data feeds. The problem is that these social engineering attacks have a high time dependency. If we solely rely on feeds, we risk delivering data to our customers that may be stale so that solution isn’t terribly attractive. This complicates another issue with common approaches with a lot of the data sources out there: many attempt to enumerate the solution by listing compromised hosts and in practice each vendor seems to see just a small slice of the problem space, and as I just said, oftentimes it’s too late.
We have invested a lot of time in looking at how to avoid the problem of essentially being an intelligence redistributor and instead look at the problem firsthand using our own rich data sources – both external and internal – and really develop a system that is more flexible, timely, and robust in the types of attacks it can address.
Mahdi: In principle, we have designed and built prototypes around Cisco’s next generation phishing detection solution. To address the requirements for both an effective and efficient phishing detection solution, our design is based on Big Data and machine learning. The Big Data technology allows us to dig into a tremendous amount of data that we have for this problem and extract predictive signals for the phishing problem. Machine learning algorithms, on the other hand, provide the means for using the predictive signals, captured from historical data, to build mathematical models for predicting the probability of a URL or other content being phishing.
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Tags: analytics, Big Data, Cisco, cloud, database, email, innovation, Intelligence, operations, phishing, security, TRAC, TRAC Big Data Analysis