With networks getting faster and the whole world going mobile, the number of connections is growing at an unprecedented rate. By next year, the amount of mobile-connected devices will exceed the number of people on the planet, and by 2020, will reach 50 billion. And those devices are getting smarter all the time.
While there is no doubt that mobility, cloud and big data are each enabling business transformation, imagine what they could do collectively. That’s the power of convergence, and it’s revolutionizing the IT and business landscape.
This convergence brings together applications, systems and processes to help meet current needs while preparing for future innovation. It’s at the heart of the Internet of Everything (IoE) in connecting people, process, data and things in new and innovative ways. And mobility is a driving force fuelling this evolving landscape, breaking down barriers and enabling the birth of entirely new kinds of business and economic models.
Mobility: A Cornerstone in the Converging IT Landscape
Mobile devices are already a pervasive part of our lives. As mobility continues to evolve, these devices will be primarily how a network connects to the user, helping shape and customize the end-user experience to deliver more personalized services and real-time engagement.
Imagine you are an online shopper who doesn’t want to wait overnight for your shipment. You want your product now. From your mobile device, you will not only be able to price-match with other retailers and see if the product is available in a store near you (a current capability), but also connect with real-time data in the cloud over an agile network to see if there are checkout lines in the store, reserve a parking spot, and tell the customer service rep you are on your way.
Gartner predicts that, through this year, mobile apps will drive “the next evolution in user experience” by “leverage[ing] intent, inferred from emotion and actions, to motivate changes in end-user behavior.” This is already happening through smart devices and wearables, for example, as people (myself included) use health and fitness apps to help make better, healthier choices.
Today. Tomorrow. Transformed. This was the theme of the second annual Cisco Empowered Women’s Network (CiscoEWN) forum at Cisco Live. And what a great week of transformation it was, and a great way to celebrate the 25th anniversary of Cisco Live! Sorry for the long blog post, but it was an exciting week for us!
CiscoEWN is a global community of highly motivated, professional women, as well as a forum for Cisco customers, partners and employees to network and motivate one another at Cisco Live and in virtual and live events throughout the year. Our founders and Executive Sponsors highlight our goals for CiscoEWN at Cisco Live US in San Francisco this year:
CiscoEWN sponsored several activities during the week each of which gave the opportunity for women in technology and our male allies to gather together and network, learn from and empower each other.
We kicked off the week with the CiscoEWN Forum on Sunday, a four-hour event with a packed agenda of mentoring sessions, panels, and keynotes. Here’s a recap of the afternoon:
Over 450 men and women, including Cisco employees, customers and partners, attended (up from 250 attendees last year!).
50 executive mentors shared life experiences and offered advice in an icebreaker mentoring session with attendees.
Cisco President and COO Gary Moore shared his thoughts on why diversity and inclusion is important for business.
Exactly one year ago, during the launch of the Cisco Empowered Women’s Network at Cisco Live Orlando, we asked the audience: “What would you do if you were not afraid?” On that day, we couldn’t have imagined the incredible journey we would take in answering that question and, ultimately, in building the Cisco Empowered Women’s Network (CiscoEWN).
CiscoEWN was created out of a collaboration between myself, Priscila David (Director, Systems Engineering, US Commercial East); Rima Alameddine (Sales Director, Enterprise NY); and Anuja Singh (Manager, Systems Engineering, Public Sector). All three of us work in the field sales organization at Cisco and have daily interactions with customers and partners. We realized that Read More »
I was in the grocery store when I realized that something new was going on: our entrance into the era of computing that I call convergence — the convergence of man and machine – is already changing the face of collaboration.
In the recent past, collaboration did a great job of connecting people to people through video, voice and the virtual workspace, which improved productivity and the intimacy of connection. A video chat, whether for business or pleasure, communicates more than a simple phone call. Add a collective workspace and you’re off like a rocket. In this collaboration between people, the technology served as a conduit.
But now I’m sensing the beginning of something different: collaborating with the machine itself. Here’s an example: I’m pretty focused on maintaining my health and my weight so when I go to the grocery store, I have a health app that’s connected to my online health profile and running with augmented reality. When I show my phone my choice of broccoli, it votes thumbs up; when I grab my favorite cookies, it displays the calories and cholesterol they will add to my daily intake, notes that it’s contrary to medication I’m on, and advises me against it. (Of course when I get to the beer aisle, I over-ride its displeasure: this is collaborative, after all, not dictatorial!)
Data generated by people and data generated by machines is actually quite different and as we move from the Internet of Things
to the Internet of Everything, this has some pretty interesting implications.
Data generated by things or machines is actually quite structured: A sensor is programmed or created to produce only a specific type of d
ata. Count the cars that cross the intersection, for example. And it’s predictable, sending a signal at specified intervals which makes the data pegged to a specific moment in time, as is the data’s relevance. It’s also generally low bandwidth, as you would imagine: A single signal from a sensor, providing specific data on a short time horizon.
Data generated by people, on the other hand, is highly unpredictable – I don’t know who I’m going to call or email and whether there’s a photo op when I step outside. Data from humans is unstructured, from spreadsheets to blooper videos, and has historical relevance. Tax returns, photos of your kids, the novel in draft in your desk drawer. It’s moderate to high bandwidth, depending on what you’re doing and it’s always on, always available. Read More »