However, at $2.4 billion, the Fleetmatics deal is much bigger than most telcos have been willing to contemplate to date, underlining Verizon's commitment to the IoT space. But this deal won’t transform Verizon’s enterprise revenue composition overnight. While it will help improve Verizon's position in terms of IoT revenues, Fleetmatics had revenues of $285 million in 2015 – compared to Verizon’s $132 billion.
The price it is prepared to pay for Fleetmatics shows that Verizon expects to see impressive long-term benefits from the deal. Forrester expects that Verizon will ultimately extend Fleetmatics’ business model beyond global fleet and mobile workforce management solutions to more general tracking and tracing solutions for nonpowered objects like skips, agricultural equipment, machinery, and other connected assets.
Verizon has its work cut out: The acquisition is the easy part. But successful integration will be much harder, as this deal is about supporting customers with their business processes rather than just selling them new products.
Open source big data technologies like Hadoop have done much to begin the transformation of analytics. We're moving from expensive and specialist analytics teams towards an environment in which processes, workflows, and decision-making throughout an organisation can - in theory at least - become usefully data-driven. Established providers of analytics, BI and data warehouse technologies liberally sprinkle Hadoop, Spark and other cool project names throughout their products, delivering real advantages and real cost-savings, as well as grabbing some of the Hadoop glow for themselves. Startups, often closely associated with shepherding one of the newer open source projects, also compete for mindshare and custom.
And the opportunity is big. Hortonworks, for example, has described the global big data market as a $50 billion opportunity. But that pales into insignificance next to what Hortonworks (again) describes as a $1.7 trillion opportunity. Other companies and analysts have their own numbers, which do differ, but the step-change is clear and significant. Hadoop, and the vendors gravitating to that community, mostly address 'data at rest'; data that has already been collected from some process or interaction or query. The bigger opportunity relates to 'data in motion,' and to the internet of things that will be responsible for generating so much of this.
Computing at the edge of the mobile network will frame your IoT-enabled customer experiences in the age of the customer. As products and services based on the internet of things (IoT) continue to thrive, so does the reliance on the underlying network infrastructures to drive business success. Most IoT assets will be connected via mobile infrastructure, and cloud services are central to many IoT initiatives to deliver real-time and context-based services.
However, data transmission costs and the latency limitations of mobile connectivity pose challenges to many of these IoT installations that rely on cloud computing. Mobile edge computing (MEC) is an important technology that enables businesses to deliver real-time and context-based mobile moments to users of IoT solutions, while managing the cost base for mobile infrastructure.
Cloud and IoT solutions are increasingly intertwined and improve IoT experiences. IoT solutions gain functionality through cloud services, which in turn open access to third-party expertise and up-to-date information.
Mobile connectivity can create challenges for cloud-enabled IoT environments. Latency affects user experiences, so poor mobile connectivity can limit cloud computing deployments in the IoT context.
MEC provides real-time network and context information, including location. MEC gives application developers and business leaders access to cloud computing capabilities and a cloud service environment that’s closer to their actual users.
Huawei Technologies started out nearly 30 years ago as a small private company with 14 employees and 140,000 yuan in capital. By 2015, its total revenue exceeded $60 billion. Huawei is already a global company, but its globalization journey has been a difficult one since the very beginning. Despite its continuous business growth in other regions, Huawei has faced critical censorship in the US since Day One — and last week the US government put Huawei under the microscope yet again.
National security is important, but using “national security” as an excuse for allowing unfair competition will only harm customers. It’s time for the governments of both countries to trust each other more. I’ve recently published a report focusing on Huawei’s continuous progress toward becoming a key enabler of digital transformation in the telco and enterprise spaces. Some of the key takeaways:
Huawei has holistic strategies for digital transformation. Huawei’s broad vision of digital strategy — which focuses on cloud enablement and readiness, partner enablement, and open source co-creation — has helped the firm sustain strong business growth in the telco and enterprise markets. For example, its partnerships with T-Systems on the Open Telekom Cloud in Germany and with Telefónica on public cloud in the Americas have helped carriers in local markets give cloud users on-demand, all-online, self-service experiences.
The Background – Linux as a Fast Follower and the Need for Hot Patching
No doubt about it, Linux has made impressive strides in the last 15 years, gaining many features previously associated with high-end proprietary Unix as it made the transition from small system plaything to core enterprise processing resource and the engine of the extended web as we know it. Along the way it gained reliable and highly scalable schedulers, a multiplicity of efficient and scalable file systems, advanced RAS features, its own embedded virtualization and efficient thread support.
As Linux grew, so did supporting hardware, particularly the capabilities of the ubiquitous x86 CPU upon which the vast majority of Linux runs today. But the debate has always been about how close Linux could get to "the real OS", the core proprietary Unix variants that for two decades defined the limits of non-mainframe scalability and reliability. But "the times they are a changing", and the new narrative may be "when will Unix catch up to Linux on critical RAS features like hot patching".
Hot patching, the ability to apply updates to the OS kernel while it is running, is a long sought-after but elusive feature of a production OS. Long sought after because both developers and operations teams recognize that bringing down an OS instance that is doing critical high-volume work is at best disruptive and worst a logistical nightmare, and elusive because it is incredibly difficult. There have been several failed attempts, and several implementations that "almost worked" but were so fraught with exceptions that they were not really useful in production.[i]
Businesses can obtain major benefits — including better customer experiences and operational excellence — from the internet of things (IoT) by extracting insights from connected objects and delivering feature-rich connected products.
The mobile mind shift requires businesses to proactively support these IoT benefits for nonstationary connected objects that exist as part of IoT solutions. In particular, the IoT forces businesses to acquaint themselves with the implications of mobility in the IoT context for connectivity, security, compliance with privacy and other regulations, and data management for mobility. This means that:
Mobile technologies are central to most IoT solutions. To date, technology managers have mostly focused on enterprise mobility management (EMM) as part of their mobile activities. This narrow focus is insufficient for IoT solutions.
Mobile IoT is not a technology revolution but a fundamental business process transformation. Mobility requires managers not only to deploy mobile technologies but also to exploit them to support specific business process requirements.
Mobile technologies set the framework for IoT solutions. Mobile has distinct implications for aspects like broadband availability, data management, security, and local data compliance. Ignoring these will undermine your IoT initiatives and return on investment.
My new report, Mobilize The Internet Of Things, provides advice and insights for businesses on addressing these mobile challenges in the context of planning for and implementing IoT solutions.
This year’s Microsoft Analyst Summit took place at the St. Regis hotel in Singapore, a prestigious place that hosted more than 90 analysts from the entire region. The Forrester team was impressed by Microsoft’s strategies in cloud, digital transformation and partnerships, and in particular, the main takeaway for us throughout the 2-day event was Microsoft’s innovation capabilities and ambition, especially in the APAC region.
HoloLens puts the spotlight on Mixed Reality. Unlike Augmented Reality, which is lightweight but has limited views and functionality, or Virtual Reality, which is very powerful but comes with bulkiness and dependence on a PC, Mixed Reality blends holograms with the real world to marry agility and powerfulness. HoloLens brings this concept to life, it is light enough for users to move around safely, and it is very powerful because it is a self-contained computer that doesn’t require tethering to another PC. There is even an emulator that allows developers to develop holographic apps for HoleLens without a device. HoloLens could drastically change the way people work, live or even think, we are all very eager to see if the first wave of HoleLens products will successfully establish an ecosystem that can sustain mass market deployments and future growth.
Marketers are always falling in love with mobile’s latest “shiny new object” and new technology acronyms — 5G, BLE (Bluetooth Low Energy), NFC (near-field communication), RWD (responsive web design), etc. — and they’re constantly looking for the next platform, whether it’s virtual reality (VR), bots, artificial intelligence (AI), or the internet of things (IoT).
However, it is time to stop this quixotic quest for a paradigmatic new platform to replace mobile! Instead, recognize that mobile will activate these adjacent technologies to enable new brand experiences.
Over the past decade, smartphones have become a sort of black hole, integrating a huge array of sensors, but mobile is now exploding back out to our environments. Sensors and connectivity are expanding beyond smartphones to our wrists, bodies, cars, TVs, and washing machines as well as to buildings and “invisible” places in the world around us. The IoT is generating tectonic shifts among digital platforms and tech vendors, signaling a new wave of disruption, and unleashing new forms of competition.
The IoT is also redefining brand engagement by enabling marketers to:
Listen to their customers and analyze their real behaviors.
Create more frequent and intimate consumer interactions.
As always each year, Huawei hosted its analyst event in April, with hordes of analysts descending on Shenzhen. Here are a few observations from the event:
In 2015, Huawei’s revenues grew by 37% to €61 billion and its EBIT grew by 34% to €7 billion, keeping the operating margin stable at just under 12%. Huawei’s strategy paid off across all of its divisions in 2015. Huawei’s Carrier Business pushed deeper into carrier transformation support and grew by 21% in 2015. Its Consumer Business operations entered the mainstream: The division grew by 73% in 2015, with Huawei gaining the No. 3 spot in the global smartphone league table. Huawei’s Enterprise Business is gaining traction and grew by 44% in 2015.
There are four distinctive aspects that go some way to explaining why Huawei keeps on outgrowing its peer group. First, Huawei’s heart beats in its R&D division, and most of Huawei’s top managers have come through the ranks of the R&D team. Second, Huawei benefits from strong internal collaboration and flexibility. Compared with other vendors, Huawei seems a lot less process-driven. Instead, Huawei seems to tolerate, even encourage, self-organization among employees — despite strict management hierarchies. Third, Huawei has a flexible and unconventional approach to customer experience. Huawei completes projects that overrun without overanalyzing whose fault it is. Fourth, Huawei is not listed and therefore not answerable to external shareholders. This gives it the freedom to experiment and take a long-term view.
Most enterprises aren't fully exploiting real-time streaming data that flows from IoT devices and mobile, web, and enterprise apps. Streaming analytics is essential for real-time insights and bringing real-time context to apps. Don't dismiss streaming analytics as a form of "traditional analytics" use for postmortem analysis. Far from it — streaming analytics analyzes data right now, when it can be analyzed and put to good use to make applications of all kinds (including IoT) contextual and smarter. Forrester defines streaming analytics as:
Software that can filter, aggregate, enrich, and analyze a high throughput of data from multiple, disparate live data sources and in any data format to identify simple and complex patterns to provide applications with context to detect opportune situations, automate immediate actions, and dynamically adapt.
Forrester Wave™: Big Data Streaming Analytics, Q1 2016
To help enterprises understand what commercial and open source options are available, Rowan Curran and I evaluated 15 streaming analytics vendors using Forrester's Wave methodology. Forrester clients can read the full report to understand the market category and see the detailed criteria, scores, and ranking of the vendors. Here is a summary of the 15 vendors solutions we evaluated listed in alphabetical order: