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Monday, January 13, 2020

The Top 10 Artificial Intelligence Trends Everyone Should Be Watching In 2020


The 2010s has been marked as the beginning of AI technology stories, and that seems not to be a random wave when the storm of technologies continuously overflows, which will open a new way for the upcoming decade.

In the past time, machines have already been thought as “intelligence” – in learning, thinking, and also in acting – appeared regularly in science fiction and began to turn into reality.

In spite of there is no prediction engine has yet been completely built that is able to describe the process of AI over the new ages, we can be somehow imagine about what is about to happen next years.  Investment in R&D, projects implementation faster and more effectively, and arguments around the wider social implications getting hotter days by days. Meanwhile, the motivation gets stronger only for those planning to deploy AI-driven innovation into new industrial areas, fields of science, and also our daily lives.

Here are some predictions for what we’re likely to note as spotlights in this first year of 2020s.

1/ Business processes are increasingly improving thanks to AI’s monitoring and refining:

While the last robot generations in the workplace were mainly focus on automating tasks such as manufacturing and production lines, today’s software-based “helpers” will undertake the repetitive but extremely necessary work that we perform on computers. Forms filling, generating any reports or diagrams, producing documentation and instructions are tasks that can be automatically done by machines by observing from what we do and start learning to do it for us in a faster and more systematic. This is known as Robotic Process Automation (RPA), which will absolutely free us from bundle of time, replacing some essential administrative work while letting us to spend more time on any other complex, creativity, or tasks that require multi interaction between people.

2/ Personalization is becoming more and more real:

Artificial Intelligence (AI) allows goods and services providers a quick and accuracy 360-degree overview about customers in real-time interacting via online portals and apps, learn from their predictions whether they can fit with our wants with the extremely high increasing accuracy. Just as coffee companies like Starbucks will learn will learn when we most likely to want a cup of coffee, and make sure the “Place an Order” button always appear in front of us at the right time, every other industry will place their solutions pointed at offering personalized customer experiences.

3/ The useful of AI is shown up through data availability and accuracy:

The authenticity and quality of available information usually a barrier to organizations and firms planning to move towards AI-driven decision-making automatically. Since technology and simulate real-world processes and mechanisms methods in the digital domain have improved by years, trustable data has become strongly available. Simulations have advanced to the level where manufacturers and developers of autonomous vehicles can transform thousands of hours leave vehicles out the lab to driving data, which lead a large amount of cost reduction as well as increase the data that can be gathered. How could risk the expense and danger of testing AI systems in the real world occur when computers are now powerful enough, or even overpower? And trained on accurate-enough data, while we can simulate it all in the digital world? During this year, the world will see a positive change in the accuracy and availability of real-world simulations, which will lead to a powerful and accurate generation of AI.

4/ AI-powered technology will be able to run in additional platforms:

Due to the reasonable price and availability of hardware and expertise needed to deploy AI, people will start to see it used in an increasing number of gadgets, tools and devices.  In the previous year, we’re already used to running apps that give out AI-powered predictions on our mobile devices. As the falling down of cost of hardware and software approached by the next decade, AI tools will continuously be adapted to our vehicles, household appliances and workplace tools. With the development of technology such as virtual and augmented reality displays, and paradigms like cloud and IoT, the upcoming year will be witnessed devices with various of shapes and sizes begin thinking and learning themselves.


5/ Enhance linking between human and AI:

By the time, more of us will sooner adapt with the idea of working alongside AI-powered tools and bots in our daily working lives. As the result of improving technology, tools are built that allow us to perform such human skills that AI haven’t been able to manage as imaginative, communication skills or ability to design and strategy. While upgrading them with amazing analytics abilities fed by vast datasets in real-time updated.

In human way, this is only mean learning new skills, or at least new ways to apply our skills cooperate with these new types robotic and software-based tools. Base on the prediction of IDC that in 2025, about 75% of firms will invest more in employee retraining in order to limit skill gaps caused by the need to adopt AI. This trend will become available during 2020, in case of your employees isn’t catch up with investing in AI tools and training, it might be worth considering how well they can grow over the following years.

6/ Ai is rocketing at the “edge”:

Most of AI interacting with us nowadays activated “in the cloud” – whenever we have an online searching, the complex and data-driven algorithms speed up on its high-powered processors inside remote data centers, with our in-hand devices or on desktops simply act as conduits for information to get through.

Moreover, as the efficiency of these algorithms keeps increasing and capable of running on low-power devices, AI is taking places at the “edge”, closely work near the point where data is collected and applied. This paradigm will continue be popularized since 2020, making AI-powered insights a reality outside of the times and places where both hyper-speed fiber optics and mobile networks available. Processors customization designed to carry out real-time analytics instantly will greatly become part of the daily technology we interact with, and besides we will all be able to do it even we have patchy or offline.


7/ AI is taking it steps into creating films, music, and games:

There might be something, even in 2020, are probably still best left to humans. Anyone that has experienced the present state-of-the-art in AI-generated modern arts is likely to agree that the most sophisticated machines still have some ways left to go until their output will be as enjoyable to us as the best human-made products ever been exist. However, the affection of AI on entertainment media is rising up. This year, Robert De Niro surprised us the assistance of AI, The Irishman of Martin Scorsese’s epic, and the use of AI in creating brand new visual effects and trickery is on the way making themselves commonly.

For videogames, AI will continue tend to be a suitable choice to create challenging, human-like rivals for players to face with, as well as to flexibly adjust gameplay and difficulties so that games can continue to offer compelling challenges for any gamers of any skill levels. And while completely AI-generated music may not be everyone’s meal, where AI excellence in creating dynamic soundscapes – list of smart playlists on services like Google Music or Spotify that combine perfectly melodies and tempo to the mood and push up our daily lives.

8/ The existence of AI in cybersecurity is becoming even more important:

Facing with hacking, phishing and social engineering attacks become more sophisticated, are powered all by AI and advance prediction algorithms, smart technology will act an extremely important role in helping us avoid these attempt intrusions into our safety. AI can be coped with specific situations such as spot giveaway signs that digital activities or transactions follow patterns which are seem to be indicators or nefarious activities, and note some urgencies before defenses can be breached and sensitive data compromised.

The deployment of 5G and related wireless communications technology will contain various opportunities for organizations to provide services in different and innovative ways, but also potentially open up to more sophisticated cyber-attacks. Investing in cybersecurity will keep growing up, and those with relevant skills will be highly sought-after.

9/ More of us consciously interact with AI without cognitive:

Even load of investment in recent years in natural-language powered chatbots in CRM, many of us can easily recognize whether we’re dealing with a mechanical machine or a real person. However, as the datasets used to train natural-language processing algorithms on the way higher, the gap between humans and machines will strictly be distinguish. With the advent of deep learning and semi-supervised models of machine learning such as reinforcement learning, the algorithms that attempt to fit with our speech patterns and infer meaning form our human language somehow misleading us of imagine of someone sitting at the opposite side of the conversation. While we still deep in dealing with a “human” when looking for information and assistance, if robots fill their promise of becoming more efficiency and accuracy at interpreting what we’re wondering, that could change. Given the ongoing investment and maturation of the technology powering customer services bots and portals, this 2020 could probably be the first time that many of us interact with a robot without even realize it.

10/ Even if we don’t notice AI, they will:

Despite the instability situations occur, the rollout of facial recognition technology is only likely to intensify as soon as we step into the next decade. Not only any specific country but the whole world. Corporations and governments rushing their investment in such methods of identifying ourselves and interpreting our activities and behaviors. Actually there’s some prevent actions aim at this – by this year, San Francisco became the first major city that ban the use of facial recognition technology by the executive forces, and others might happen in 2020. But the question of whether people ultimately begin to accept this intrusion into their lives, in return of the benefits it will bring, predicted to be a sensitive topic to argue till the of this first year of the new decade.

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TMA Solutions was established in 1997 to provide quality software outsourcing services to leading companies worldwide. We are one of the largest software outsourcing companies in Vietnam with 2,600 engineers. Our engineering team was selected from a large pool of Vietnam IT resources; they are well-trained and have successfully completed many large and complex projects. Please visit us: https://www.tmasolutions.com/

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