- September 4, 2020
- Posted by:
- Category: Artificial Intelligence, Machine Learning
Cognitive technologies, ever since they made their advent, have seen many advancements in themselves, where today, the human world has been transformed into a smart world.
The head-turning innovations, seen in the form of drones, AI-powered medical robots, selfless cars, and ships, smart apps, AI-ML enabled robust software tools, among others are all known to us and have also played a significant role to help the mankind in the corona crisis.
“At its current growth rate, Machine Learning is on track to be worth around $9 billion globally by 2023.”
Technology allied with humans and fought its best in fighting the virus at different levels. In the past year, organizations have made great strides on their path to digitization, and throughout 2019 concepts that were disruptive until now, such as the Cloud, edge computing, automation have become relatively common.
Many businesses have acquired these technologies and many are in the process to do so. Modern companies who have crossed the next level of technologies like AI, Machine learning, Deep Learning, Natural Language Processing, and more
A lot has been witnessed in the previous decades, numerous evolutions have been seen in 2019-2020, so what next?
This curiosity arises multitudinous questions on the next phases of digital transformations that are assumed to address the prevailing shortcomings that will be driven by the new trends in the progressing technologies.
Artificial Intelligence and Machine Learning, as these buzzwords become more and more common, so has the adoption of these tech splits.
We already know the wonders of AI but now everybody wants to know that can machine learning be secure?
How can the integration of machine learning benefit their business?
How the evergrowing division of technology can take innovations to the apex?
Technology’s Success Slant
Let’s Trace the Path of Success of the Technology:
-The market growth of neural networks is expected to cross $23B in 2024.
-Machine Learning is globally recognized as the key driver of digital transformation where it would lead to the investment of $58B by the 2021 year-end.
-The US market of deep learning applications will take a hike from $100M in 2018 to $935M in 2025.
-The global industry of machine learning, expanding at a CAGR of 42%, will almost be $9B by the end of 2022.
Technology trends embark on the beginning of the “digital revolution” slated to transform global businesses from the grassroots. Apart from AI and ML other computing techniques will continue to affect the business expansion but the spearhead of change and innovation will carry on to the new and exceptional ones.
[Prefer Reading: “Emotion Analytics: Can Robots Understand your Feelings?”]
Without much ado, let’s trigger the front-running trendsetters:
Trendsetters of 2020 & Beyond
Hyprautomation is the application of advanced technology, including machine learning and artificial intelligence, to automate tasks previously performed by humans.
It goes beyond mere automation while considering the automation process of: discover, analyze, design, automate, measure, monitor, and reevaluate. Besides, the concept combines complex machine learning, packaged software, and automation tools intended to deliver work.
Hyper-automation is a powerful aid that needs special concentration and understanding of a range of automation mechanisms, how they combine and relate to each other to forge an effective approach of hyper-automation.
This trend enables organizations to gain agility by providing continuous, real-time intelligence on how key performing indicators are evolving. Furthermore, as per the tech experts, RPA alone is not hyper-automation as it requires the support of combined tools that replicates human parts in a task.
# Augmented Human
This trend talks about how technology can enhance cognitive and physical improvements in people, thereby, leveraging the power of human experience. Say, through chips or internal devices that increase our field of vision or hearing or increase our ability to process the information.
Physical Human Improvement
This can take place via altering or modifying the inherent physical capabilities of humans by implanting or hosting technological devices in their bodies (like wearables).
Cognitive Human Improvement
Cognitive enhancement can take place through access to information and exploitation of applications in traditional computer systems and the emerging interface of multiple experiences in smart spaces.
This will create “a new consumerization effect,” where employees seek to exploit their personal enhancements and even extend them, to improve their overall office environment.
# Practical Blockchain
Even though having deep links with cryptocurrency, the years beyond 2020 will experience its expansion in the unexplored fields of work.
Companies like Amazon are investing in democratizing the use of blockchain through subscription models, Samsung, IBM, Microsoft, Alibaba are exploring possible use cases both beyond payments and cryptocurrencies.
Examples of successful application of blockchain are in traceability within the food industry, in the field of intellectual property or in the management of the real estate and assets, fields in which 2020 will be a key year for the implementation of blockchain.
And many leading companies in this field of technology are looking for opportunities, the newest bet technology can offer.
[Prefer Reading: “Blockchain: What it Holds for Businesses Today?”]
This one predicts the evolution of user experience, that is, the way in which people perceive the digital world and how they interact with it.
Here we can expect virtual reality, augmented reality, extended reality, and mixed reality to make improvements in the user experience by introducing them to multisensory and multimodal experiences.
This will be something commonly prevalent in the years ahead.
[Prefer Reading: “Augmented Reality & its Types: Know the Techniques Running Behind.”]
#Transparency & Traceability
With the increasing risks of data loss and threats, people want control over their private and sensitive information. Practices aimed at guaranteeing digital ethics and user privacy will be intensified, beyond legal regulations.
Transparency and traceability are critical elements that aid digital privacy!
Consumers are increasingly aware of the value of their data and, faced with this, companies should focus on six key elements of trust: ethics, integrity, openness, responsibility, competence, and consistency.
Sheer expectations have been laid on:
- Artificial Intelligence
- Machine Learning
- Neural Networks
- Natural Language Processing
The rise of artificial intelligence has multiple benefits but also brings some significant security challenges.
In this sense in 2020, augmenting human decisions keeps a broad set of use cases where security will be leveraged accommodating technologies of hyper-automation and autonomous things.
Key areas to focus on are:
Protection of AI-powered systems
Improve Security Defense
[Prefer Reading: “How can AI better help Humans to Empower Cybersecurity?”]
#Democratization of Experience
Technological democratization refers to the empowerment of people to take advantage of technological advances, without the need for technical experience complex training.
Through 2023, we can expect four key aspects of the democratization trend to accelerate which includes:
To expand low-code and no-code phenomena with the automation of additional application development functions to empower the citizen developer
-The democratization of data and analytics tools
Those that target data scientists expanding to target the professional developer community
-The democratization of development
Artificial intelligence tools to take advantage of custom-developed applications
For example, non-IT professionals gain access to expert tools and systems that allow them to exploit and apply specialized skills beyond their own experience and training.
What Can We Do For You?
At Appknock”, we help organizations in their digital transformation process with an approach based on three lines of action:
Client : We would help you with consulting over cognitive technologies
Organization: We create learning cultures that drive talent and enhance the employee experience
Technology: We empower enterprises with agility using technology as a means