Human augmentation summons up prophecies of futuristic cyborgs. Still, humans have been intensifying parts of the body for hundreds of years. Eyeglasses, hearing aids, and prosthetics advanced into cochlear implants and wearables. Even laser eye surgery has become unexceptional.
But what if technologists could amplify the brain to increase memory storage, or implant a chip to decipher neural patterns? What if exoskeletons became a customary uniform for autoworkers, empowering them to lift superhuman weights? What if experts could embed sensors to track how drugs travel inside a human body?
Technology is now on the point of marching beyond augmentation that substitutes a human capability and into development that generates superhuman skills. How will these transformations impact the world and business?
Top 10 Technology Trends that Will Power Significant Transformation & Huge Opportunity:
These trends are designed around the idea of ‘people-centric smart spaces,’ which implies taking into consideration how these technologies will influence people (i.e., customers, employees, etc.) and the places that they live in. These trends don’t live in isolation; businesses must determine what combination of the patterns will power the most innovation and strategy. For instance, AI in the form of machine learning, in conjunction with hyper automation and edge computing, enables highly integrated smart spaces. Consecutively, these technology combinations allow further democratization of the technology.
1. Hyper Automation
Automation leverages technology to automate tasks that, once upon a time, entailed human.
Hyper automation trades with the application of advanced technologies. It comprises of artificial intelligence and machine learning, which progressively automates the processes and augment humans.
As no solitary tool can substitute humans. Hyper-automation presently involves a blend of tools like robotic process automation, intelligent business management software, and AI. Progressive AI- powered decision making is the end goal.
Hyper-automation time and again results in the creation of a digital twin. This enables companies to visualize how functions, processes, and KPIs interact to drive value and significant business opportunities.
Multi experience swaps technology-literate people with people-literate technology. The conventional idea of a computer evolves from a single point of interaction to comprise multisensory and multi-touchpoint interfaces.
For instance, Domino’s designed an experience beyond app-based pizza ordering. It comprises an autonomous vehicle, a pizza tracker, and smart speaker communications.
In the coming years, this trend will take the form of what’s called an ambient experience. The multi-experience concentrates on immersive experiences that leverage augmented reality, virtual reality, mixed reality, multi-channel human-machine interfaces, and sensing technologies. Hence, the combination of these technologies are used for a necessary AR overlay or even for an entirely immersive VR experience.
The democratization of technology implies catering to people with easy access to technical or business expertise without extensive training. It lays its focus on four significant areas – application development, design, knowledge, and data analytics. It is also known as ‘citizen access’, which pilots the rise of citizen data scientists, programmers, and more.
For instance, democratization would empower developers to produce data models without having the skills of a data scientist. They would alternatively depend on AI-powered development to generate code and automate testing.
4. Human Augmentation
Human augmentation is the use of technology to enhance a person’s individual cognitive and physical experiences.
Physical augmentation modifies an inherent physical capability by embedding or hosting a technology within or on the body. For instance, the automotive/mining industries make use of wearables to enhance worker safety. However, in sectors like travel and retail, wearables improves worker productivity.
Cognitive augmentation improves a human’s ability to think and make better decisions, for instance, exploiting information and applications to enhance learning or new experiences. Human augmentation carries a range of cultural and ethical connotations.
5. Transparency and Traceability
The advancements in technology are generating a trust crisis. As customers become increasingly aware, companies are also identifying the rising liability of storing and accumulating the data.
Furthermore, AI and ML are used to make decisions in place of humans. They are advancing the trust crisis and powering the need for ideas like explainable AI and AI governance. This trend demands concentration on six major elements: Ethics, integrity, openness, accountability, competence, and consistency.
6. Edge Computing
Edge computing is a topology where data processing, content accumulation, and delivery are placed closer to the sources of data. However, all these is done with the idea that keeping traffic local and distributed will cut down latency. This comprises all technology on the Internet of Things.
Edge computing focuses on how these devices are rising and creating the foundations for smart spaces. Thereby, move significant applications and services closer to people and devices that leverage them.
By 2023, there could be more than 20 times as many smart devices at the edge of the network.
7. The Distributed Cloud
Distributed cloud signifies to the distribution of public cloud services to various locations outside the cloud provider’s physical data centers. However, they are still controlled by the provider. The cloud provider is answerable to every aspect of cloud service architecture, delivery, operations, governance, and updates. The fruition from centralized public cloud to distributed public cloud pilots in a new era of cloud computing.
Distributed cloud empowers data centers to be located anywhere. This resolves both technical issues like latency while also regulatory hurdles like data sovereignty. It also provides the advantages of a public cloud service besides the benefits of a private, local cloud.
8. Autonomous Things
Autonomous things like drones, robots, ships, and appliances, leverages AI to carry out tasks usually performed by humans. This technology runs on a spectrum of intelligence ranging from semiautonomous to fully autonomous.
Currently autonomous things mainly exist in controlled environments, like in a mine or warehouse. However, they will eventually evolve to include open public spaces. Autonomous things will also move from stand-alone to collaborative swarms. For instance, the drone swarms used during the Winter Olympic Games in 2018.
However, there is no way autonomous things can swap the human brain and operate most effectively.
9. Enterprise Blockchain Technology
Blockchain is a type of distributed ledger. Also, an expanding chronologically ordered list of cryptographically signed, permanent transactional records shared by all participants in a network.
Blockchain also empowers parties to track assets back to their origin, which is advantageous for conventional assets. It enables two or more parties, unknown to each other, to securely interact in a digital environment. It also enables them to exchange value without the need for a centralized authority.
The comprehensive blockchain model comprises of five crucial elements. A shared and distributed ledger, unalterable and traceable ledger, encryption, tokenization, and a distributed public consensus mechanism. However, blockchain remains underdeveloped for enterprise deployments due to various technical issues, including poor scalability and interoperability.
Enterprise blockchains presently take a practical approach and implement only some of the elements of a complete blockchain. They do it by making the ledger independent of individual applications and participants. It also replicates the ledger across a distributed network to generate an authoritative record of important events. Like wise, each individual authorized to access sees the same information, and integration is further streamlined by having a single shared blockchain. Agreements are handled by more conventional private models.
In the coming years, actual blockchain will bear the potential to revolutionize industries. In turn, the economy, as complementary technologies like AI and the IoT begin to integrate alongside blockchain. This increases the type of participants to comprise of machines. At the same time it will able to interchange a variety of assets – from money to real estate.
As per predictions, Blockchain will be fully scalable by 2023.
10. AI Security
Developing technologies like hyper automation and autonomous things provides transformational opportunities in the business space. However, they also make security vulnerabilities in new possible points of attack. Security teams must look into these challenges and be aware of how AI will form an impact on the security dimension.
AI security has three main standpoints
- Safeguarding AI Powered systems
- Using AI to improve security defence
- Predicting nefarious use of AI by attackers
MOVING FORWARD WITH A FLEXIBLE TRANSFORMATION ROADMAP
While primary technologies will continue to find themselves in the limelight of most digital transformation initiatives. Even, we believe that these eight will specifically govern digital transformation conversations and inform the trajectory of successful digital transformation initiatives in 2020. If you were looking for a cheat-sheet of critical business trends to invest in 2020, this is it!
Tactical Technology Trends 2020 & Impact of Transformations is written by emxceluser@admin for emxcelsolutions.com