The end of the year is upon us, and with that come the wide-ranging predictions for the coming year. With so many different organizations making their predictions for the coming year, we’ve decided to make it easier for CIOs and other information technology leaders by compiling a list of top tens from some of the most highly regarded analysts and experts heading into 2017.
Gartner: Ten Top Predictions for IT Organizations in 2017
Per Forbes, Gartner shared its top predictions for IT Organizations. These and many other insights are from Gartner’s Top Strategic Predictions for 2017 and Beyond: Surviving the Storm Winds of Digital Disruption (PDF, client access) published October 14, 2016.
- By 2020, 100 million consumers will shop in augmented reality
- By 2020, 30 percent of web browsing sessions will be done without a screen
- By 2019, 20 percent of brands will abandon their mobile apps
- By 2020, algorithms will positively alter the behavior of more than 1 billion global workers global workers
- By 2022, a blockchain-based business will be worth $10 billion
- By 2021, 20 percent of all activities an individual engages in will involve at least one the top-seven digital giants
- Through 2019, every $1 enterprises invest in innovation will require an additional $7 in core execution
- Through 2020, IoT will increase data center storage demand by less than 3 percent
- By 2022, IoT will save consumers and businesses $1 trillion a year in maintenance, services, and consumables
- By 2020, 40 percent of employees can cut their healthcare costs by wearing a fitness tracker
Forrester: Ten Key Developments to Watch in the Cloud Computing Industry in 2017
With cloud computing a well-established business driver, the evolution of the cloud into new markets, integrations, and customizations will mean more big things for CIOs, CTOs, and other technologically-focused leaders heading into 2017 and beyond. Forrester shared in-depth research (available for download), noting the following ten trends to watch:
- Beyond pay-per-use, buyers will save money in cloud in many ways
- Hyperconverged infrastructure will help private clouds get real
- Size still matters, but the megaclouds won’t be your only option
- Lift-and-shift tools will improve to make cloud migration easier
- Hybrid cloud networking will remain the weak link in hybrid cloud
- Enterprises will shun large, complex, and costly private cloud software suites
- SasS will move away from one-size-fits-all to regional and industry solutions
- Chinese firms will be key drivers of global cloud evolution
- Containers everywhere will shake up cloud platform and management strategies
- Cloud service providers will design security into their offerings
IDC: Top Ten IT Predictions for 2017
Renowned analyst firm IDC announced its top ten predictions or the IT Industry in a recent webcast featuring Frank Gens, IDC’s senior vice president and chief analyst. Forbes shared the top takeaways, including in-depth coverage into the top ten predictions for the IT Industry in 2017:
- By 2020, 50% of the G2000 will see the majority of their business depend on their ability to create digitally-enhanced products, services, and experiences. In 2019, worldwide spending on digital transformation initiatives will reach $2.2 trillion, almost 60% larger than 2016.
- By 2019, 3rd Platform (cloud, big data/analytics, social, and mobile) technologies and services will drive nearly 75% of IT spending – growing at 2X the rate of the total market.
- By 2020, 67% of enterprise IT infrastructure and software will be for cloud-based offerings.
- By 2019, 40% of digital transformation initiatives – and 100% of IoT initiatives – will be supported by AI capabilities.
- In 2017, 30% of consumer-facing G2000 companies will experiment with AR/VR as part of their marketing efforts.
- By 2018, the number of Industry Collaborative Clouds will triple to more than 450.
- By year end 2017, over 70% of the Global 500 will have dedicated digital transformation/innovation teams.
- By 2020, over 70% of Cloud services providers’ revenues will be mediated by channel partners/brokers.
- By 2020, all enterprises’ performance will be measured by a demanding new set of benchmarks in leadership, customer engagement, digitization of new and traditional offerings, operational efficiency and organizational agility. At least 1/3 of leaders in every industry will fail to clear these digital transformation hurdles.
- By 2020, 1/3 of Health/Life Sciences and CP companies will begin to develop the first products and services tightly integrating 3rd Platform technologies with the human body. “Augmented Humanity” offerings will be mainstream in the mid- 2020s.
Gartner: Top Ten Strategic Technology Trends in 2017
As technology pushes forward, the CIO needs to look beyond next year as well. Each year, Gartner releases its Top 10 Strategic Technology Trends for the coming year. Gartner defines a strategic technology trend as one with substantial disruptive potential that is just beginning to break out of an emerging state into broader impact and use or which are rapidly growing trends with a high degree of volatility reaching tipping points over the next five years.
This year’s theme sets the stage for the Intelligent Digital Mesh, combining “Intelligence Everywhere,” the blending of physical and digital worlds, and the platforms and services needed to deliver the Intelligent Digital Mesh.
- AI and Advanced Machine Learning: Going beyond initial expectations of AI, the next generation will include deep learning, neural networks, natural language processing. This is what makes smart machines intelligent.
- Intelligent Apps: Intelligent apps such as VPAs perform some of the functions of a human assistant making everyday tasks easier and its users more. As such, these intelligent apps have the potential to transform the nature of work and structure of the workplace.
- Intelligent Things: As intelligent things, such as drones, autonomous vehicles and smart appliances, permeate the environment, Gartner anticipates a shift from stand-alone intelligent things to a collaborative intelligent things model.
- VR and AR: Immersive technologies, such as virtual reality (VR) and augmented reality (AR), transform the way individuals interact with one another and with software systems.
- Digital Twin: A digital twin is a dynamic software model of a physical thing or system that relies on sensor data to understand its state, respond to changes, improve operations and add value. Digital twins include a combination of metadata(for example, classification, composition and structure), condition or state (for example, location and temperature), event data (for example, time series), and analytics (for example, algorithms and rules).
- Blockchain and Distributed Ledgers: Blockchain and distributed-ledger concepts are gaining traction because they hold the promise to transform industry operating models. While the current hype is around the financial services industry, there are many possible applications including music distribution, identity verification, title registry and supply chain.
- Conversational System: The digital mesh encompasses an expanding set of endpoints people use to access applications and information, or interact with people, social communities, governments, and businesses. As the device mesh evolves, connection models will expand and greater cooperative interaction between devices will emerge, creating the foundation for a new continuous and ambient digital experience.
- Mesh App and Service Architecture: In the mesh app and service architecture (MASA), mobile apps, web apps, desktop apps and IoT apps link to a broad mesh of back-end services to create what users view as an “application.” The MASA enables users to have an optimized solution for targeted endpoints in the digital mesh (e.g., desktop, smartphone, automobile) as well as a continuous experience as they shift across these different channels.
- Digital Technology Platforms: Digital technology platforms provide the basic building blocks for a digital business and are a critical enabler to become a digital business. Gartner has identified the five major focal points to enable the new capabilities and business models of digital business — information systems, customer experience, analytics and intelligence, the IoT, and business ecosystems.
- Adaptive Security Architecture: The intelligent digital mesh and related digital technology platforms and application architectures create an ever-more-complex world for security. However, the IoT edge is a new frontier for many IT security professionals creating new vulnerability areas and often requiring new remediation tools and processes that must be factored into IoT platform efforts.
For full explanations, see the news release and download the full report, Top 10 Strategic Technology Trends for 2017, from the Gartner website.
Enterprise Irregulars: Ten Top Concerns for CIOs Heading into 2017
Enterprise Irregulars contributor, digital transformation and technology expert, and Chief Strategy Officer at 7Summits Dion Hinchcliffe shared his top ten predictions for the CIO in 2017:
- Increasing pressure to dramatically improve customer and brand experience, while working across the aisle with the CMO to do it.
- Worries about cybersecurity, including a potentially career-ending public hack.
- A growing chorus from the CEO and the board to get going with digital transformation, but without much new budget to do it.
- The mass shift to the cloud, the push to go hybrid and then public, and then return the savings back to the CFO, who is often asking for it back.
- The rise of new tech and IT approaches so fast (containers, mobile, new cloud stacks, devops, bimodal, etc.), that many existing staff skills are badly out of date.
- Threat of digital disruption on the doorstep today, rather than 3-5 years down the road.
- Coping with the rise of shadow IT and LOB tech investment such that in 2017, significantly more than half of all IT will be outside of IT control.
- Widespread pressure from C-Suite, industry, and LOBs to lead the business too, rather than just technology.
- Increased pressure for greater staff diversity, especially gender diversity, while female tech leaders remain in very short supply.
- Increased pressure to be compliant with a growing body of often difficult to understand or enact international data protection and privacy regulations.
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