We know that cloud services and cloud platforms are here to stay and should be considered part of your overall IT portfolio but how much of that portfolio will these services occupy in your future? For most companies – and probably all enterprises - your future won’t be 100% cloud. And your business units and line employees have already ensured that it won’t be 0% cloud. So what’s the right number?
Answering this question isn’t as important as understanding how to prepare your organization for the percentage to be higher than you think it will be – that’s where you should be prioritizing.
On July 9th and 14th, I will be conducting a two-part webinar series for Forrester clients on The Future of Cloud Computing that will help you better understand how this market is moving, how your application portfolio is evolving and what you should be doing about it.
The research behind this webinar series comes primarily from three recent Forrester reports that are recommended reading for those planning their Cloud Playbook. They are:
· The Public Cloud Market is in Hypergrowth – this report details the rate of cloud services adoption today and our forecast for cloud services between now and 2020. In this report, we discuss the factors affecting cloud service adoption and the patterns of use, which are key to understanding how your company is shifting to the cloud.
In the past three weeks, I’ve been in Hong Kong and Taiwan; several things that happened while I was there led me to think about their competitiveness in the age of the customer.
I was in Hong Kong to moderate three panels at a CIO summit. During a break, I chatted with a Singaporean CIO who’s been working in Hong Kong for 15 years but is thinking about moving back. We discussed the recent criticisms of mainland Chinese who allow their small children to pee by the curb of main thoroughfares. Hong Kong media and residents have been quick to criticize mainland parents without listening to their explanations that the city doesn’t have enough public toilets and that there are long queues at every shopping mall — hardly a surprise given that Hong Kong attracts more than 100 million visitors from mainland China each year.
Yesterday, I read that Hong Kong’s chief executive is considering limiting the number of mainland visitors to address local residents’ complaints. I wonder what impact passing such a bill would have on the city’s retail revenue growth, employment rate, commercial property prices, attractiveness towards global investment — even its economic freedom index ranking. As my CIO friend asked me: “Imagine what would happen if, for just one day, no mainland tourists came to Hong Kong. What impact would that have on Hong Kong’s retail, property, and financial markets?” I had no answer for that.
On to Taiwan: I was just in Taipei for a couple of days on business. I go to Taipei at least once a year, but this is the first time I’ve gotten the impression that Taiwan is really losing its attractiveness, despite the fact that I really love the city’s culture and food.
Contributed by Bryan Wang, Di Jin, and Vanessa Zeng
JD.com, the second largest online retailer in China, went public on May 22, listing itself on Nasdaq after merely 11 years of existence. At the time of IPO, JD had a market value of nearly $30 billion. Despite its size however, JD still managed to increase its customer base by 62% in 2013. How did JD manage to continually achieve business growth? I believe this is due to three key factors that differentiate JD:
■ Comprehensive logistics network for online retail in China. JD.com invested heavily in a last-mile strategy to ensure that customers receive products as quickly as possible, establishing 82 local warehouses with 1,620 delivery and 214 pickup stations across nearly 500 cities in China. This has made same-day delivery available in 43 cities — far ahead of the capabilities of Google Shopping Express in San Francisco. To better reach customers in lower-tier cities, JD is also collaborating with local convenience store chains in provinces like Shanxi and Guangdong to further strengthen its last-mile delivery capability.
Forrester data shows that valuing a customer's time is the most important factor in good customer service. Customers simply want an accurate, relevant, and complete answer to their question upon first contact, so they can get back to what they were doing before the issue arose. Here are the numbers:
Consumers have little tolerance for long or difficult service interactions. 55% of US online adults are likely to abandon their online purchase if they can't find a quick answer to their question. In addition, 77% say that valuing their time is the most important thing a company can do to provide them with good online customer service, up 6 points from 2012.
Older customers are as intolerant to friction in service interactions as the young. Impatience is not only a characteristic of the young. Older Boomers are not tolerant to long customer service interactions. Meeting these high expectations for the older generation can pay off. US online seniors may be less likely than their younger counterparts to purchase online, but don't underestimate their online commerce activity: 71% of US online consumers ages 69 and older have made an online retail purchase in the past three months.
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
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: