October 18, 2016
October 18, 2016
Contributor: Heather Pemberton Levy
Gartner's Top 10 Strategic Predictions for 2017 and Beyond: Surviving the Storm Winds of Digital Disruption
By 2020, the average person will have more conversations with bots than with their spouse. With the rise of Artificial Intelligence (AI) and conversational user interfaces, we are increasingly likely to interact with a bot (and not know it) than ever before. The digital experience has become addictive by entering our lives through smartphones, tablets, virtual personal assistants (VPAs) or the entertainment systems in our homes and cars.
Read more:Gartner Top Strategic Predictions for 2020 and Beyond
Gartner's Top Strategic Predictions for 2017 and Beyond describe not only the disruptive effects of digital business innovation but how secondary ripple effects will often prove to be more disruptive than the original disruption, according to Daryl Plummer, Managing Vice President, at Gartner Symposium/ITxpo 2016 in Orlando.
Three high level trends emerge from the predictions:
Plummer noted that disruption has moved from an infrequent inconvenience to a consistent stream of change that is redefining markets and entire industries. Commenting on the astonishing rise of Pokemon Go that demonstrated accelerated digital change into areas such as augmented reality (AR), he encouraged IT leaders to look for unanticipated consequences of the rise of IoT.
Daryl Plummer describes the power of disruption before introducing the Top 10 Predictions for 2017 and Beyond
While digital innovation carries inherent risks, take note that the following technologies carry different kinds of business value. “The practical approach is to recognize disruption, prioritize the impacts of that disruption, and then react to it to capture value,” Plummer said
Whether they allow you to try on makeup or place virtual furniture in your home, immersive technologies such as AR increase consumer engagement by enabling them to fully explore features and conveying additional information that can aid in a buying decision. Popular applications such as Pokemon Go will help propagate the technology and bring it into the mainstream. Watch for 1 in 5 global brands to use AR for shopping by the end of 2017.
Many teens already use voice search daily and new audio-centric technologies, such as Apple’s AirPods, Google Home and Amazon’s Echo, are turning “voice first” interactions into ubiquitous experiences. By eliminating the need to use your hands and eyes for browsing, vocal interactions extend the web experience to multiple activities such as driving, cooking, waking, socializing, exercising, operating machinery, etc. By the end of 2017, watch for room-based screenless devices to be in more than 10 million homes.
Many brands are finding that their mobile apps are not paying off. They simply haven’t delivered the level of adoption and customer engagement that companies expected. App stores are crowded and the cost of application support in not only maintenance, upgrades and customer support but also marketing to drive downloads, exceeds original ROI calculations.
Google’s effort to make the mobile web more “applike,” will gain traction and companies will opt to reduce their losses by allowing their apps to expire. Watch for Apple’s reluctant embrace of the mobile web as a vehicle for customer engagement.
Employees, already familiar with behavior influencing through contextual algorithms on consumer sites such as Amazon, will be influenced by an emerging set of “persuasive technologies” that leverage big data from myriad sources, mobile, IoT devices and deep analysis.
JPMorgan Chase uses an algorithm to forecast and positively influence the behavior of thousands of investment bank and asset management employees to minimize mistaken or ethically wrong decisions. Richard Branson’s Virgin Atlantic uses influence algorithms to guide pilots to use less fuel.
By year end 2017, watch for at least one commercial organization to report significant increase in profit margins because it used algorithms to positively alter its employees’ behaviors.
Blockchain technology is established as the next revolution in transaction or event recording. A blockchain ledger provides an immutable, shared view of all transactions between engaging parties in a distributed, decentralized network. While the bitcoin blockchain ledger is itself well-understood, blockchain remains an immature technology. By 2020, new businesses and business models will emerge based on smart contracts and blockchain efficiencies. These smart contracts automate at a reliability, customization level and speed not achievable with traditional business systems.
Many of us interact with at least one of the digital giants (by market capitalization: Google, Apple, Facebook, Amazon, Baidu, Alibaba and Tencent) in our digital worlds of web search, mobile, social networking, messaging and music streaming. As the physical, financial and healthcare worlds become more digital, many of our activities will be connected and within reach of the digital giants. Note that collectively, the digital giants will have direct and indirect knowledge of what we do as individuals and the fundamental issue will be what they do with the data.
Many organizations have adopted a bimodal style of work to jumpstart innovation. While exercises are designed to experiment and “fail fast,” those that do receive approval for implementation involve a level of complexity, scale and business change ramifications that may not have been considered in the initial planning stage.
The Internet of Things (IoT) has massive potential for data generation by 2020, with 21 billion IoT endpoints estimated to be in use. However, only a fraction of this data will actually be retained and stored. Most of it will be transient data that moves across networks. Certain industries such as healthcare providers, manufacturing and natural resources, transportation and utilities have the greatest data storage requirements due to the data’s business value and retention requirements. For all industries, physical security will generate the greatest amount of data.
Digital twins capture real-time data, allowing smarter maintenance and service schedules for physical objects such as large pumps, airframes and turbines. When the sensor-enabled real world twin sends data to the digital twin, it can simulate the physical state, allowing the digital twin to be inspected instead of the physical object.
This would be helpful for a submerged sewage pump or any other asset in which on-site inspection is inconvenient, costly or hazardous. Consumers, too, will benefit when they can extend the life of the oil in their cars from a prescriptive replacement “every 5,000 miles” to replacement triggered by a measurement of the engine’s performance.
Organizations will strive to make healthy lifestyle a part of company culture. Fitness trackers and gamification can help inspire employees to stay fit and relay data to a health and fitness analytics platform. Anonymized data harnessed from the fitness trackers will allow enterprises to make more informed choices among health care benefits and insurance packages, potentially reducing expenses, while providing similar value to employees. As a near term flag, consider that multinational corporations will sponsor the use of wearable fitness tracking devices by 2017.
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Recommended resources for Gartner clients*:
Top Strategic Predictions for 2017 and Beyond: Surviving the Storm-Winds of Digital Disruption by Daryl Plummer, et al.
*Note that some documents may not be available to all Gartner clients.