For IT leaders, the 2020s will be defined by “The Edge.” The monolithic, centralized approaches of yesteryear will be replaced by a new architectural focal point, or “center” at the Edge, and the understanding that an Edge-first approach for distributed architectures — which starts at the Edge and then paints out the core and cloud — will become the new norm. The shift to this new digital future is made possible by multiple rapidly emerging technologies. In this series, we explore the impact of these technologies, including IoT, artificial intelligence and 5G networks.

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner Is it important that an intelligent system act like a human? The real AI is about reality and causality, with its mentality encoded in digital reality. In fact, there is a single AI, which is real and true AI. Its a reality/causality-based machine intelligence, which is synergetic to human intelligence. So, there must be Causal AI, ML, DL, ANN and others, instead of Symbolic or Statistic AI, ML, DL or others.

Artificial intelligence (AI) contains many subfields, including machine learning (ML), which automates analytical model building. It uses methods from neural networks, statistics, operations research and physics to find hidden insights in data without being explicitly programmed where to look or what to conclude. Real artificial intelligence applies machine learning, and other techniques to solve actual problems. Despite the covid-19 pandemic and the current economic climate, artificial intelligence has quickened its progress. AI has the ability to analyze big data sets – pulling together innovative insights and leading to predictive analysis. Here are five significant artificial intelligence trends that are transforming the future of our economies and society.

The Covid-19 pandemic has accelerated the development of artificial intelligence across the globe. Organizations are using artificial intelligence to increase the productivity of remote workers, enhance the virtual shopping experience, drive the digital transformation process and speed up the development of important drugs to end this on-going pandemic. Real artificial intelligence is creating value by making humans more efficient, not redundant. Specialization: Narrow AI, Specialists, Scientists, Learned Ignoramus, which divides, specializes, and thinks in special categories. Interdisciplinarity is about the interactions between specialised fields and cooperation among special disciplines to solve a specific problem.

At the moment, AI/ML/DL are hot keywords in the trend of Software development. The world have more successful projects based on AI technologies such as Google Translate, AWS Alexa, …AI makes machine smarter than. So, the way from idea to successfully have many challenges if want to make great solutions. I have some time working with AI projects and start-ups to build great solutions based on Algorithms and ML; I aimed to propose and implement solutions that help the development team working smoothly. Today, I would like to describe the development process, architecture, CI/CD, and Programming for quickly implement multiple AI approaches with Agile software development methodology.

For IT leaders, the 2020s will be defined by “The Edge.” The monolithic, centralized approaches of yesteryear will be replaced by a new architectural focal point, or “center” at the Edge, and the understanding that an Edge-first approach for distributed architectures — which starts at the Edge and then paints out the core and cloud — will become the new norm. The shift to this new digital future is made possible by multiple rapidly emerging technologies. In this series, we explore the impact of these technologies, including IoT, artificial intelligence and 5G networks.

Artificial Intelligence today is where personal computers were back in the 90s: a new skill that everyone will have to become familiar with within the next few years. What if you could be as familiar with AI as you are with MS Office? Why this course: The problem at hand is that while there are not enough data scientists and engineers to create AI solutions, there are even fewer managers and leaders who know how to apply AI to business or organizational problems in the right manner, or have the time to learn it in detail. The good news, however, is that just like with computers, most of us do not need to learn how to code to understand and use AI well. This course will help you get a thorough understanding of AI techniques & how to use/manage them, to support your career as well as your organization's growth. It will also clear the confusion around what AI can or cannot do, and will allow you to spot strong or weak AI solutions - all in under 3 hours.

Machine learning and AI developers are starting to examine the integrity of training data, which in some cases will be used to train millions or even billions of devices. But this is the beginning of what will become a mammoth effort, because today no one is quite sure how that training data can be corrupted, or what to do about it if it is corrupted. Machine learning, deep learning and artificial intelligence are powerful tools for improving the reliability and functionality of systems and speeding time to market. But the AI algorithms also can contain bugs, subtle biases, or even malware that can go undetected for years, according to more than a dozen experts interviewed over the past several months. In some cases, the cause may be errors in programming, which is not uncommon as new tools or technologies are developed and rolled out. Machine learning and AI algorithms are still being fine-tuned and patched.

Premise: How will the traditional car industry create and extract customer value in the future when the source of that value is no longer the vehicle itself? An increasingly digital economy is overwhelming every industry, and no business, from the largest legacy institutions to plucky start-ups, is safe. To survive, businesses must embrace digital transformation. For those who haven't, we have already seen what happens to them. Once long-standing giants in advertising, marketing, commerce, entertainment, transportation and hospitality industries have either shuttered their doors for good, or are on the fringes of the industries they once dominated (see Figure 1).

Artificial Intelligence, Machine Learning and Deep Learning (AI ML DL) are at the heart of digital transformation by enabling organizations to exploit their growing wealth of big data to optimize key business and operational use cases. See "Artificial Intelligence is not Fake Intelligence" for more details on AI ML DL. And the business ramifications are staggering! BusinessWeek (October 23, 2017) reported a dramatic increase in mentions of "artificial intelligence" during 363 third quarter earnings calls (see Figure 2). To help our clients exploit the business and operational benefits of AI ML DL, Dell EMC has created "Ready Bundles" that are designed to simplify the configuration, deployment and management of AI ML DL solutions.