What if you had a “virtual doctor” who was available at any time—24x7—to give you a quick checkup, dispense friendly health advice, and even alert you to possible health problems before they become serious? What if your parents or grandparents got a gentle daily reminder to take their medication, so they would never have to worry about missing a dose? What if you could walk into any emergency room in the country and receive exactly the care you need because the hospital has instant access to all your medical records? While much of this may seem futuristic, it will become reality in a future not that far away.
Big Data and analytics are transforming healthcare as we know it. Let me share a few examples:
1. Patient care
Many healthcare providers are stretched to capacity, and can’t always follow up with patients to see how they’re doing and make sure they are following medical advice. Today, we are beginning to see pills with tiny ingestible sensors that send a message to your doctor or to a loved one to confirm that you have taken the pill—giving peace of mind to worried children of elderly parents, or anyone who needs to take medication at a specified time. In the future, these sensors will likely also be able to report whether the medicine results in the right impact, and to suggest a change of dose or even a different medication, if that is appropriate.
A high-risk pregnancy is a constant source of worry for many women. In the near future, small electronic “tattoos” will provide nonstop fetal monitoring through a sticker worn right on the skin. Wireless communications capabilities will send vital signs directly to the cloud, where Big Data and analytics capabilities can evaluate the information and send appropriate alerts to the mother and her doctor.
Thank you to everyone that participated in the Let’s Chat! #Ciscosmt Series 2014 Digital and Social Media Trends Twitter chat. What a lively discussion and a special thanks to our guest Molly McHugh(@iammollymchugh), Web and Social Section Editor at @DigitalTrends. She really helped outline trends we should watch out for in several key areas from the way we use social media channels to impact of big data.
Check out this transcript and let us know your viewpoints for 2014 digital and social media trends! And stay tuned for more 2014 #Ciscosmt activity details by following the Cisco Digital and Social blog and the #Ciscosmt hashtag!
Let’s Chat! #Ciscosmt Series: Engaging Employees in Social Media Twitter Chat Transcript Read More »
Futurists have long envisioned a world where fabulous innovations transform our lives in mind-boggling ways. And while some of their ideas may remain far-fetched, the most exciting thing about their future is that so much of it is already here, today (flying cars notwithstanding).
Indeed, we are living in an age of unprecedented technological transformation, one that stands to eclipse even the first Internet boom. This next wave of change is being driven by a massive upsurge in connectivity, from 10 billion connected things today to 50 billion in 2020. The world may seem connected. But only 1 percent of the objects around you are endowed with smart connectivity. That is changing fast. Your car, your refrigerator, your parking space, the bridge you drive over, the shelves at the local retailer, and the supply chain that feeds them — all of these “dark assets” are being “lit up” with smart connectivity, altering our lives in profound ways.
Cisco calls this the Internet of Everything (IoE). We define IoE as the intelligent connection of people, process, data, and things. And, of course, the “people” element is paramount, since the whole point of technology is to create a better life experience for everyone.
At Cisco, we estimate the Value at Stake from this transformation to be $14.4 trillion for the private sector alone over the next 10 years, which represents an opportunity to increase global aggregate corporate profits by about 21 percent.
Cisco’s projections are based on deep research and analysis into potential use cases. But we are not the only ones sensing the potential impact of this game-changing, global transformation.
The abstract for this conference was designed to be a bit provocative, specifically:
“ Virtualization as a concept is not new. However, in the context of Software Defined Networking,the virtualization discussion has been focusing on overlay functions e.g networking. What about virtualization overlays and interworking with existing architectures? What are the implications to performance and management? Are we speaking the same language?
The panelists will have an opportunity to articulate the virtualization problem space for the industry and the opportunity for the industry to address.”
My panelists included the following individuals: Read More »
I am attending South Korea’s Big Data Forum in Seoul, and one question here is, “How big is Big Data?” My friend and colleague Dave Evans has pointed out that by the end of this year, more data will be created every 10 minutes than in the entire history of the world up to 2008. Now, that’s big!
Much of this data is being created by billions of sensors that are embedded in everything from traffic lights and running shoes to medical devices and industrial machinery—the backbone of the Internet of Things (IoT). But the real value of all this data can be realized only when we look at it in the context of the Internet of Everything (IoE). While IoT enables automation through machine-to-machine (M2M) communication, IoE adds the elements of “people” and “process” to the “data” and “things” that make up IoT. Analytics is what brings intelligence to these connections, creating endless possibilities.
To understand why, let’s step back and take a look at the classic approach to Big Data and analytics. Traditionally, organizations have tended to store all the data they collect from various sources in centralized data centers. With this model, if a retailer wants to know something about the buying patterns of a certain store’s customers, it can create an analysis of loyalty card purchases based on data in the data warehouse. Collecting, cleansing, overlaying, and manipulating this data takes time. By the time the analysis is run, the customer has already left the store.
Big Data today is characterized by volume, variety, and velocity. This phenomenon is putting a tremendous strain on the centralized model, as it is no longer feasible to duplicate and store all that data in a centralized data warehouse. Decisions and actions need to take place at the edge, where and when the data is created; that is where the data and analysis need to be as well. That’s what Cisco calls “Data in Motion.” With sensors gaining more processing power and becoming more context-aware, it is now possible to bring intelligence and analytic algorithms close to the source of the data, at the edge of the network. Data in Motion stays where it is created, and presents insights in real time, prompting better, faster decisions.