⊛Digital transformation is a foundational change in how an organization delivers value to its customers. Moreover, how consumers interact with brands has evolved over the past decades empower people to relate to companies in several ways.
Digital experiences are not native to “digital only” enterprises any longer. It is necessary for companies to understand how people interact with digital technology and the technology itself to better offer services and innovative products to maintain competitive in the marketplace.
Gartner has created and interesting top-tech-trends that will drive significant disruption and opportunity over the next five to 10 years. These are structured around the idea of “people-centric smart spaces” — which means considering how technologies will affect people (i.e., customers, employees) and the places where they live and work (i.e., home, office, cars).
Even though some of these technologies are already commonplace, the challenge for companies is to understand and consider business and human contexts first. It is important to understand that digital transformation marks a radical rethinking of how an organization uses technology, people and processes to fundamentally change business performance.
Gartner states that these trends don’t exist in isolation; IT leaders must decide what combination of the trends will drive the most innovation and strategy. For example, artificial intelligence (AI) in the form of machine learning (ML) with hyperautomation and edge computing can be combined to enable highly integrated smart buildings and city spaces. In turn, these combinations enable further democratization and access of the technology.
By ②⓪②⓪ the research and advisory firm predicts that companies that are digitally trustworthy will generate 20% more online profit than those that aren’t.
According to Gartner*, these are this year´s strategic technology trends:
- HYPERAUTOMATION: Hyperautomation takes applications for task automation to the next level. Hyperautomation is a state in which organizations use a combination of Artificial Intelligence and Machine Learning to rapidly identify and automate all possible business processes. Because not one tool alone can replace humans, hyper-automation today involves a combination of tools, such as Robot Process Automation (RPA), Intelligent Business Management Software (iBPMS), and AI, with the goal of more AI-driven decision making.
- MULTIEXPERIENCE: Multiexperience replaces technology-literate people with people-literate technology. The traditional idea of a computer evolves from a single point of interaction to include multisensory and multitouchpoint interfaces like wearables and advanced computer sensors. Multiexperience moves across many human senses, which creates a richer, more immersive experience.
- DEMOCRATIZATION: Means that more people than ever have access to technology and this in turn leads to more rapid developments and innovations within the industry. Democratization provides people with easy, low-/no-cost access to technical or business domain expertise. Already referred to as “citizen access”, this trend will focus on four key areas: application development, data and analytics, design, and knowledge.
- HUMAN AUGMENTATION: Human augmentation is a field of research that aims to enhance human abilities through medicine or technology. The use of technology and science to heighten a person’s cognitive and physical experiences.
- TRANSPARENCY AND TRACEABILITY: Consumers become more aware of how their personal data is collected and used and organizations are increasingly recognizing the liability of storing and gathering data. Building trust has become even more challenging as digital transformation disrupts the status quo.
- EMPOWERED EDGE: The growing edge computing trend is based on the idea that keeping traffic local and distributed will reduce latency. This involves a topology where information processing, content collection and delivery are placed closer to the sources of the information.
- THE DISTRIBUTED CLOUD: Examines a major evolution in cloud computing where the applications, platforms, tools, security, management and other services are physically shifting from a centralized data center model to one in which the services are distributed and delivered at the point of need.
- AUTONOMOUS THINGS: Autonomous things, which include drones, robots, ships and appliances, exploit AI to perform tasks usually done by humans. This technology operates on a spectrum of intelligence ranging from semiautonomous to fully autonomous and across a variety of environments including air, sea and land.
- PRACTICAL BLOCKCHAIN: Blockchain is a type of distributed ledger, an expanding chronologically ordered list of cryptographically signed, irrevocable transactional records shared by all participants in a network. This enables two (or more) parties who don’t know each other to exchange value without a need for a centralized authority. This technology is quite promising when it comes to trust, transparency, reducing costs, improving business ecosystems, and the way industries operate. According to Gartner, there are five key elements of the blockchain model: “a shared and distributed ledger, immutable and traceable ledger, encryption, tokenization and a distributed public consensus mechanism.”
- AI SECURITY: As cyberattacks grow in volume and complexity, artificial intelligence (AI) is helping under-resourced security operations analysts stay ahead of threats. Evolving technologies such as hyperautomation and autonomous things offer transformational opportunities in the business world. However, they also create security vulnerabilities in new potential points of attack. Security teams must address these challenges and be aware of how AI will impact and affect the security space.