We are living in an era of technology that is evolving quickly day by day. Now we have more advanced technologies than in previous years. Also, we will see a lot more technological advances in the coming years. While competing with the world. However, one should be familiar with trending technologies.
In the past year alone, the integration of multiple emerging technologies has sped up. The threshold of AI development continued lowering. And industrial intelligence led the dawn of the fourth industrial revolution.
Following these seeds deeply buried in the soil of science and technologies in 2019. We can blueprint the outlook of what’s to come in 2020. Where science and technology will still. Be a quintessential function of society and the key to our understanding of the future.
Today, we are releasing our prediction of the 10 major scientific and technological trends in 2020.
AI technology will be industrialized with large-scale production. In 2020, there will be many “AI factories”.
2020 will be a critical year for the large-scale implementation of AI chips.
Deep learning technology will penetrate the industry and be applied on a large scale.
AutoML, automatic machine learning, will greatly lower. Hence, the threshold of machine learning.
Multimodal deep semantic understanding will become more mature and widely used.
Natural language processing technology will be deeply integrated with knowledge. And computing platforms for general natural language understanding will be widely used.
The Internet of Things (IoT) will breakthrough through three directions: boundary, dimension, and scenario.
Intelligent transportation will accelerate. And its implementation in various scenes such as parks and cities.
Blockchain technology will be integrated into more scenarios in a more pragmatic manner.
Quantum computing will usher in a new round of explosive growth, injecting new vitality into AI and cloud computing.
Artificial Intelligence (AI) Technologies:
AI is short for Artificial Intelligence. Further, refers to the ability of a machine or computer program to do thinking and learning like humans. Also, it is a field of study that works on making a computer smarter. The term AI was coined in 1955 by John McCarthy. Let’s find out more about the AI history and some facts. Generally, this term refers to a machine that has human-like cognitive abilities. For instance, an AI system can learn and solve some problems like us.
Success Rate AI Technologies
An ideal intelligent machine can boost its success rate. Today, the term AI is used to understand human speech. And, compete at a much higher level in some strategic games like Chess and Go interpretation of complex data and self-driving cars. The goal of AI research is to develop computer programs. That has the ability to think logically and solve problems. Nonetheless, many apps can solve a lot of problems. Doing math and searching for different databases is something those computers can do much better than humans.
In the past year alone. The integration of multiple emerging technologies has sped up. The threshold of AI development continued lowering and industrial intelligence led the dawn of the fourth industrial revolution.
Following these seeds deeply buried. So, in the soil of science and technologies in 2019. We can blueprint the outlook of what’s to come in 2020. Where science and technology will still be a quintessential role in society. And the key to our understanding of the future.
Today, we are releasing our predictions of the 10 major scientific and technological trends in 2020. AI involves a lot of different fields. Such as philosophy, neuroscience, psychology, linguistics, math, and computer science. Researchers are hopeful to develop an AI system. That can solve a lot of problems rather than focus on just one. Aside from this, researchers are also working hard. To develop emotional and creative AI. For this purpose, they have given a go to a lot of tools and approaches.
History of AI:
In history, you can find many objects that can be considered Artificially Intelligent. For the first time, these objects of AI appeared in Greek myths. Such as Talos of Crete. Aside from this, humanoid robots designed by Al-Jazari and Yan Shi. The ancient Greek mathematicians. Hence, Greek philosophers developed formal logic. This gave birth to the idea of the computer. Later on in the 19th century. According to the theory of computation by Alan Turing. All mathematical problems can be solved. Through the processing of 0’s and 1’s. Aside from this, advancements in cybernetics, information theory, and neurology convinced many researchers. That it was possible to develop an electronic brain.
Data Science Technologies:
Technology is constantly evolving, and so are we. There will be massive growth in Artificial Intelligence. And Machine Learning over the next few years. There is already a significant amount of data to manage. And with new technological advances. We can use big data in many ways. To do this, we need to keep up to date with the top 5 data science trends in 2020.
Data science covers a variety of topics that includes deep learning. The internet of things and artificial intelligence, etc. We can say that data science is not a single term. Hence, it can solve a variety of business problems. That includes algorithm computation, analysis, a mix of data inference, and technology. It also provides companies with advanced tools. And technologies to help them. Automate complex business processes related to extracting. Until, analyzing, and presenting raw data. Since there is so much going on in the technical field and data generate quickly. It is important to know. The latest and upcoming trends in data science.
The notion of explainable/interpretable AI i.e. platforms transparent enough. So that a human expert can identify how decisions are made, will gain relevance in 2020. According to a 2018 report from Accenture. An increase in the level of AI transparency empowers humans. To take the necessary corrective actions. That based on the explanations provided. This trend was strong in 2019 and by all indications. 2020 will see even more focus.
“Within three years, we believe [explainable AI] will have come to dominate the AI landscape for businesses. Because it will enable people to understand and act responsibly. As well as creating effective teaming between humans and machines,” commented Accenture in their report.
The introduction of artificial intelligence and machine learning will create many new roles in the industry. Data science security professionals will be in high demand. Since artificial intelligence and machine learning completely dependent on data. And suppose to process this data effectively. Data scientists must have specialist knowledge of data science. As well as computer skills.
Demand in Market
Although the corporate market already has access to much knowledgeable data science and IT professionals. There is still a need for more professional data security professionals. That can safely process customer data. For this purpose, data security scientists must be familiar. With the latest technologies in data science or big data analysis. For example, Python is one of the most commonly used languages in data science and data analysis. So, if you know the concepts of Python well. You can solve problems. That related to the security of data science. Data science has become the popular technology of 2020. Here I have shown you the top 5 data science trends in 2020. You can check these trends and based on this. You can analyze your business. And get to know where you have to improve. I hope you have understood. However, the popularity of data science.
Internet of Things:
Internet of Things (IoT) now regards as the next big thing. Industry experts have started calling it the Industrial Revolution 4.0. IoT statistics reports are showing how tech-innovations will have a critical role. In the organization of the economy, healthcare, marketing, banking, and finance. As well as the government. IoT is going to usher in advanced degrees of automatization, customization, and connectivity.
As the number of IoT endpoints continues to grow. So does the potential of security threats. Each attack surface offers an entry point to internet criminals. Thus, which can expose entire networks to hacking.
However, there’s some good news:
Some businesses and individuals are becoming more aware of the risks ahead. And, hence, are adopting proper security strategies for protection. Predictions show that by 2021. Spending on security measures will increase by 28%. As compared to 2018 ($1.5 billion).
Good IoT security practices and strategies still have a long way to go. Therefore, there’s still a great need for more businesses. And individuals to get on board in this area of concern. Connected lighting devices in the building industry will be one of the critical drivers of this segment. That’s highest growth rate in 2020. According to theInternet of things growth statistics. The industry will see 130 million more IoT endpoints. As compared to 2019 figures.
Blockchain is an emergent technology evolving at a fast pace. There is a lot of demand for software engineers in the blockchain. Blockchain is a technology that has taken the business world by storm. Blockchain data mean to be resistant to modification. And secure as a record of the transaction. The intricacies of the technology itself. That may be hard to grasp. Even for tech enthusiasts, but the growing popularity and prevalence of the technology are clear for all to see. Blockchain technologies can be used as a public means of transactions. As well as private ledgers for inter-company transactions and record keeping. Worldwide spending on blockchain solutions. That expects to grow from 1.5 billion in 2018 to an estimated 15.9 billion by 2023.
Companies in nearly every industry are rushing to take advantage. However, the perceived benefits of the blockchain phenomenon. And many are seeking to adopt their own private versions of blockchain and cryptocurrency. The financial sector accounts for over 60 percent of the market value of blockchain worldwide in 2018. Hence, but technology has spread to nearly every industry from healthcare to agriculture. Electronic voting systems replace paper-based systems. But even now, people doubt the voting system’s ability to secure the data. Hence, defend against any attacks. The blockchain-based system can ensure transparently. And publicly verifiable elections in the country. If implemented successfully, voting can be done using a mobile application. That attaches to a blockchain system.
Robotic Process Automation (RPA) Technologies:
The Robotic Process Automation (RPA) industry is growing at a rate. Hence, like no other. Gartner has coined RPA as ‘the fastest-growing segment of the global enterprise software market’. Hence, and predicted that the global market for RPA services. That will hit an estimated £5.98 billion (€7-billion) in 2020.
It is set to be a pivotal year for automation – and one that will see an exciting variety of big shifts. As the RPA industry matures and the global economy reacts and adapts to it. As larger, more established organizations move into the RPA market. Hence, they’re going to acquire and merge with upcoming RPA vendors. The leaders, identified by the Gartner Magic Quadrant for Robotic Process Automation Software, Forrester Wave, and Everest PEAK Matrix reports. Hence, likely won’t face acquisitions. Because their valuations are too high. Enterprise entrants to the RPA market will instead acquire. And merge with smaller organizations to compete with these leaders. Global service integrator companies and other technology companies are already buying up. Hence, automation-led services companies.
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