At the Gartner Symposium/ITXPO, on November 6th, 2018, David Cearley (Distinguished Analyst VP, Gartner) took the stage to share the Top 10 Strategic Technology Trends for 2019. Several thousands of participants gathered at the Auditorium to attend his inspiring presentation.
"Companies can't ignore these trends as they have the potential to impact their business over the next 5 years. Some are breaking out of an emerging state or are in an early emerging phase, but these strategic trends need to be monitored by CIOs," first explained David Cearley. Tech now plays an inextricable part in our lives, and can be split in three main categories: Intelligence –Artificial Intelligence and Machine Learning are driving the future capabilities across everything around us –, Digital – the real world we live in and the virtual one are now coming together – and Mesh, with connections between people, processes and devices, all together in dynamic and rich ways. "Welcome to the era of Continuous NEXT, where organizations can foster perpetual innovation, integration and delivery," added the Gartner Analyst, before breaking down the Top 10 Strategic Technology Trends for 2019.
• Autonomous Things
According to Gartner, by 2021, 10% of new vehicles will have autonomous diving capability compared with less than 1% in 2017. Then, from 2022 to 2025, we will witness a greater explosion, with capabilities moving to levels 2 and 3. "As autonomous things proliferate, we expect a shift from stand-alone intelligent things to a swarm of collaborative intelligent things, with multiple devices working together, either independently of people or with human input," highlighted David Cearley. Here, we are also talking about drones and robots, not only about cars. These will have a strong impact on logistics and agriculture, for instance. "Coordination is key, from being isolated and independent to connected and achieving collaboration. The challenge is to connect them and to create a collaborative environment," he added.
• Augmented Analytics
Augmented analytics capabilities will advance rapidly to mainstream adoption, as a key feature of data preparation, data management, modern analytics, business process management, process mining and data science platforms. Automated insights from augmented analytics will also be embedded in enterprise applications — for example, those of the HR, finance, sales, marketing, customer service, procurement and asset management departments, but also agriculture — to optimize the decisions and actions of all employees within their context. "Through 2020, the number of citizen data scientists will grow five times faster than the number of expert data scientists," highlighted the expert.
• AI-Driven Development
By 2022, 40% of new application development projects will have AI co-developers on their team: as a matter of fact, Artificial Intelligence will be added to the development process itself, notably with augmented analytics embedded. "We can foresee the creation of virtual interns, virtual software engineers by 2020, and later virtual architects, and virtual developers. Therefore, a new citizen developer will be created, allowing the end-user to develop his/her own applications using AI services," insisted the Gartner Distinguished Analyst.
• Digital Twins
"A digital twin refers to the digital representation of a real-world entity or system," first explained David Cearley, before stating that by 2020, Gartner estimates there will be more than 20 billion connected sensors and endpoints and digital twins will exist for potentially billions of things. In the years to come, more than 50% of companies implementing IoT projects will be using digital twins. Going forward, companies will start implementing DTOs – Digital Twin of their Organization, a dynamic software model of an organization, a combination of models, metadata, data analytics, etc –, allowing them to understand how they operationalize their business models, connect with their current state, deploy resources and respond to changes to deliver expected customer value.
• Empowered Edge
"Edge computing describes a computing topology in which information processing, and content collection and delivery, are placed closer to these endpoints. It tries to keep the traffic and processing local, with the goal being to reduce traffic and latency," highlighted the Gartner VP. Over the next five years, specialized AI chips, along with greater processing power, storage and other advanced capabilities, will be added to a wider array of edge devices. And later, 5G will provide faster speed, lower latency and greater density. It will start in 2019 and mature in 5 to 6 years, allowing the expansion of edge computing environments.
• Immersive Experience
By 2022, 70% of companies will be experimenting with immersive tech and 25% will deploy to production. "We are seeing a fundamental shift, with the system now taking on more and more responsibilities, and learning constantly. Now, we can simply express our needs and desires, the system is able to interpret it. And here again, AI is at the core of it," said David Cearley. Immersive technologies such as VR, AR and Mixed Reality are already being used for trainings, marketing & sales demos, design visualization, etc. They are actually changing the way we interact with the digital world, while also providing a multichannel experience which uses all human senses. " From virtual, augmented and mixed reality to conversational platform to immerse and ambient user experience, the environment around us is bound to become the computer," he added.
"The centralized trust model adds delays and friction costs (commissions, fees and the time value of money) to transactions. Yet, current Blockchain technologies and concepts are still immature, poorly understood and unproven in mission-critical, at-scale business operations. Despite the challenges, the significant potential for disruption means CIOs and IT leaders should begin evaluating Blockchain, even if they don’t aggressively adopt the technologies in the next few years," explained the Distinguished Analyst. According to the Gartner Hype Cycle, in the next years, the Blockchain technology will go through a period of transition, before reaching its full potential and allowing companies to enhance their solutions and develop new ones.
• Smart Spaces
As defined by David Cearley, a smart space is a physical or digital environment in which humans and technology-enabled systems interact in increasingly open, connected, coordinated and intelligent ecosystems. The expert then also explained what the different maturity model phases were all about: isolated systems (1), connected services (2), coordinated systems (3) and finally, and intelligent environment (4), part of a larger ecosystem. Several cities are currently working on becoming "smart", namely Toronto, Singapore, London or Dubai, and providing more immersive, interactive and automated experiences to their citizens.
• Digital Ethics & Privacy
With people being more and more concerned about how their personal information is used by organizations, digital ethics and privacy have become a growing interest for individuals but also for companies and governments. "We are witnessing the creation of a patchwork of privacy laws, starting with GPDR and with many more coming in the next years. It is a huge challenge for companies working in different jurisdictions. The best way to approach them? Moving from the current compliance approach to an ethics-driven approach," highlighted David Cearley. Now, ethics is part of the brand proposition: how can trust be generated?
• Quantum Computing
By 2023, 20% of companies will be budgeting for Quantum Computing projects compared to less than 1% today. The first impact could be felt in the next 5 years, with large vendors already working on it. CIOs should also ask the following questions: what does it mean for my business proposition? What's the best use case to date? "IT leaders should start planning for Quantum Computing by increasing understanding and how it can apply to real-world business problems. Learn while the technology is still in the emerging state. Identify real-world problems where QC has potential and consider the possible impact on security. But don’t believe the hype that it will revolutionize things in the next few years. Most organizations should learn about and monitor QC through 2022 and perhaps exploit it from 2023 or 2025," concluded the Gartner Distinguished Analyst.
Publié le 13 décembre 2018