Today, Nokia’s HERE just announced it plans to acquire Medio Systems, a Seattle-based company that is a pioneer in the emerging field of real-time predictive analytics. I met Medio founder and CTO, Brian Lent, a couple of times in the past few years and have always been impressed by his vision of what analytics would become.
Such an acquisition will help HERE and then Nokia Networks and Technologies deliver more contextualized and personalized experiences by adding smart data to its location intelligence capabilities.
At Forrester, we believe that to embrace the mobile mind shift, companies will have to serve customers in their mobile moments. To do so, they must anticipate their customers’ next likely actions. Already, almost 1 in 4 smartphone users expect their mobile experiences to change based on their location.
According to Nokia, it could, for example, mean delivering individual restaurant recommendations to someone ready for lunch, giving drivers routes that match their driving style based on real-time conditions, or helping businesses personalize their customer offerings.
To be able to deliver these experiences and engage with customers in real time, marketers will have to think about mobile not as yet another digital channel but as a catalyst for business transformation. To do this, Forrester believes they need a business discipline to win in the mobile moment by implementing what we refer to as the IDEA cycle, by:
• Identifying the mobile moments and context.
• Designing the mobile engagement.
• Engineering platforms, process, and people for mobile.
Recent news of a a computer program that passed the Turing Test is a great achievement for artificial intelligence (AI). Pulling down the barrier between human and machine has been a decades long holy grail pursuit. Right now, it is a novelty. In the near future, the implications are immense.
Which brings us to why should you care.
Earlier this week the House majority leader, Eric Cantor, suffered an enormous defeat in Virginia's Republican primary by Tea Party candidate David Brat. No one predicted this - the polls were wrong, by a long shot. Frank Luntz, a Republican pollster and communication advisor, offered up his opinion on what was missing in a New York Times Op-Ed piece - lack of face-to-face discussions and interviews with voters. He asserts that while data collection was limited to discrete survey questions, what it lacked was context. Information such as voter mood, perceptions, motives, and overall mind set were missing. Even if you collected quantitative data across a variety of sources, you don't get to these prescient indicators.
The new wave of AI (the next 2 - 5 years) makes capturing this insight possible and at scale. Marketing organizations are already using such capabilities to test advertising messages and positioning in focus group settings. But, if you took this a step further and allowed pollsters to ingest full discussions in person or through transcripts in research interviews, street polls, social media, news discussions and interviews, and other sources where citizen points of view manifest directly and indirectly to voting, that rich content translates into more accurate and insightful information.
On June 10, Salesforce.com announced Salesforce Wear, a bundle of free tools and reference applications aimed at evangelizing the power of enterprise wearables. The offering supports six different wearable devices, each with its own open-source reference application to help developers design and build wearable apps that connect to the Salesforce1 platform.
Salesforce Wear has the potential to turbo-charge the growing market for enterprise wearables. Enterprises using Salesforce Wear will gain tools and reference applications that immediately apply to six wearable devices: three smart watches (Pebble, Samsung Gear, and Android Wear), plus Google Glass, the Myo armband, and Bionym’s Nymi authentication device.
Some of the reference applications are pure enterprise/B2B workforce enablement applications, like the Google Glass application for oil rigs, which can be generalized to other field service scenarios (and which, conceptually, I have written about before). Salesforce Wear’s app facilitates real-time field actions by providing schematics of the equipment being serviced, offering a view into the full service history of the equipment, and connecting field workers to colleagues for real-time collaboration. All in all, the reference app helps field workers fix problems more quickly and effectively.
Salesforce Wear's Casino Reference Application with the Bionym Nymi Band. Source: Salesforce
I’ve been covering the sales enablement space here at Forrester for six years. While the concept is certainly more common than it was “back in the day”, I’m not really sure we as a community have a lot of clarity about how to get various Marketing, Human Resources, IT, Finance, and Sales groups on the requisite same page required to drive the desired effectiveness and efficiencies of most sales enablement initiatives across the selling system.
The problem today? Sales is Getting Too Much Well Intended Help and Not Enough Real Support
One of the important realizations that we continue to illuminate for business leaders is that when all of these groups are working independently to support sales, a tremendous amount of uncoordinated, redundant, or conflicting investments are made. Corralling these “random acts of sales support” is job #1 of any strategic sales enablement initiative…but how do you determine whose efforts are the random ones? Whether you are in a small or large organization there are many different people are certain they know what salespeople need to be successful, resulting in an avalanche of sales enablement deliverables, but few real results.
I recently spoke with members of the application development team at Torry Harris Business Solutions (THBS) in India. THBS develops mobile apps for clients worldwide. The team revealed that THBS clients now focus much more on user experience (UX) design — so much so that some of them are even willing to spend an additional 5% on top of the total app development cost to get a better design. UX design represents about 30% to 40% of the total mobile app development cost. But a great UX is only half of a mobile engagement; context is the other half. To develop a complete and effective mobile engagement, eBusiness and channel strategy professionals must:
Our Forum For Technology Management Leaders in London starts tomorrow and I'm very excited about the program that we have been able to put together across the two days. On day one, we will be hearing from Jeroen Tas, Chief Executive Officer, Informatics Solutions and Services, Philips Healthcare, about how he and his team have evolved IT to become a fundamental enabler of growth for Philips as a real-time, connected company. Jeroen has over 30 years of global experience as an entrepreneur and senior executive in the financial services, healthcare, and information technology industries. Before taking on his current position, Jeroen was the Group Chief Information Officer of Royal Philips, leading IT worldwide.
In the run-up to the Forum, I asked Jeroen to answer a number of questions on Philips Healthcare's digital business journey. Jeroen's answers are a must-read for healthcare- and other technology management leaders about to embark on the same journey, and provide great insight into the challenges of making connected healthcare a reality. I look forward to hearing Jeroen speak on the main stage tomorrow!
Q: You have been a driving force behind Philips Healthcare’s strategy to create a connected healthcare world. Can you explain your approach?
On June 9, Docker.com announced that it will release version 1.0 of Docker, an open source platform that could automate the deployment of various types of applications as lightweight, portable, self-sufficient containers and run them virtually on any infrastructure. This announcement indicates that the platform is ready for commercial use, including lightweight, portable runtime support and packaging via Docker Engine and cloud services for application sharing and process automation via Docker Hub.
We talked to some early adopters of Docker, including global ISVs and local solution providers. We believe that Docker-based solutions will disrupt the server virtualization market segment and further drive the adoption of cloud because of their:
Technology advantages. Today’s componentized applications often rely on other components, applications, or services. For instance, your Ruby on Rails applications might rely on MongoDB as a persistence layer while using nginx as a web server. Each component might also have its own set of dependencies, which could conflict with each other. Docker can easily package the necessary dependencies and separate them within their own containers.
Earlier this spring I was determined to tell the responsive web site management/operation story as a linkage between RWD’s business metrics and operational/site performance metrics and improvement tactics. Instead, I found a fragmented story: The business teams have different processes, tools, and goals from technical teams, whereby ‘management’ happens in isolation from ‘operation.’ Business teams that need to prove the ROI of RWD simply did not have a direct linkage to site performance, operations, and monitoring efforts. Compounding the problem, many front-end development agencies that build responsive sites don’t focus on metrics because they aren’t contracted for managed services after the site goes live. As a result, responsive site owners/committees must find their own fix, and our recent research is designed to address both RWD’s performance operations (i.e., speed) issues and business-value analysis for responsive sites:
When the first Linux distributions based on the 3.0 kernel were released almost a year ago, I was struck by how far Linux had advanced. The latest turn of the crank for Linux, in the form of Red Hat Enterprise Linux 7 (RHEL 7), reinforces this opinion. Built primarily on recent versions of the Linux 3.0 et seq kernel available to the entire Linux community, including SUSE, Red Hat, Cannonical and others, RHEL 7 continues the progress of the Linux community toward an OS that is fully capable of replacing proprietary RISC/UNIX for the vast majority of enterprise workloads. It is apparent, both from the details on RHEL 7 and from perusing the documentation on other distribution providers, that Linux has continued to mature nicely as both a foundation for large scale-out clouds as well as a strong contender for the kind of enterprise workloads that previously were only comfortable on either RISC/UNIX systems or large Microsoft Server systems. In effect, Linux has continued its maturation to the point where its feature set and scalability begin to look like and feel like a top-tier UNIX.
In addition to the required low-level plumbing – schedulers, memory management and file systems capable of keeping up with both high-volume transactions and operating effectively in large distributed clusters – Red Hat has also focused on features to improve the installation and management experience, thus directly reducing cost of ownership, following in the footsteps of other modern OS development trajectories.
Among the enterprise technology that caught my eye: