In the uncertainty brought about by the era of disruption, too many technologies are trying to find their place in the most advanced progress of society. One technology seems to have a very clear future.
Artificial intelligence (AI) will change our world forever, and this change may be more profound than most people realize today. No matter what kind of work you are engaged in, no matter what kind of business or industry you are engaged in, even if artificial intelligence cannot completely change human beings, it will improve artificial efficiency.
Artificial intelligence gives machine vision, hearing, taste, smell, touch, speaking, walking, flying, and learning abilities. This in turn means that companies can develop new ways to interact with customers, provide them with smarter product and service experiences, automate processes, and promote business success.
Having said that, we also know that there is a lot of hype and confusion about artificial intelligence. In fact, some people see it as the ultimate threat to human civilization, while others believe that artificial intelligence is the savior and will solve the biggest challenges facing humanity from climate change to cancer treatment. The purpose of this article is to eliminate hype and spread panic, and to provide a cutting-edge vision of how Al is actually used by businesses today, in order to uncover the mystery of AI and at the same time inspire everyone to see the great opportunities AI offers.
Some artificial intelligence giants such as Google, Facebook, Alibaba, Baidu, Alibaba, Microsoft, Amazon, etc. are making full use of their power, leaving many traditional companies behind. Traditional companies are trying to change themselves and use artificial intelligence to slowly regain their competitive advantage. There are also some start-ups that are using artificial intelligence technology to challenge artificial intelligence pioneers and traditional enterprises in a truly disruptive way.
Mankind's most powerful technology
Artificial intelligence is the most powerful technology available to mankind today, and the biggest mistake anyone can make is to ignore it, or even think that he already knows everything about it. Leaders of various countries and business leaders have also seen the huge opportunities brought by artificial intelligence and the risks of falling behind in the artificial intelligence gold rush.
Whoever becomes the leader in this field will become the ruler of the world. my country has formulated the most ambitious plan to use artificial intelligence, with the goal of becoming a world leader in artificial intelligence by 2030. In Europe, the European Commission (European Commission) issued an artificial intelligence strategy in 2018. The strategy stated that, like steam engines or electricity in the past, artificial intelligence is changing our world, our society and our industry.
The growth of computing power, the availability of data and the advancement of algorithms have made artificial intelligence one of the most strategic technologies in the 21st century.
Business leaders think so
Amazon CEO Jeff Bezos believes that artificial intelligence has entered a golden age, and it allows us to solve problems that once belonged to the field of science fiction.
Google co-founder Sergey Brin said: "The new spring of artificial intelligence is the most important development in the field of computing in my life."
Microsoft CEO Satya Nadella called artificial intelligence the decisive technology of our time.
Klaus Schwab, founder and executive chairman of the World Economic Forum, and many others believe that artificial intelligence (especially when combined with all other technological innovations) has triggered the fourth industrial revolution. This will change all aspects of business and society.
What is artificial intelligence?
AI is nothing new and nothing magical. The first development of artificial intelligence can be traced back to the 1950s. Artificial intelligence refers to the ability of computer systems or machines to display intelligent behaviors that enable them to act and learn autonomously. The most basic form of artificial intelligence is to obtain data, apply some calculation rules (or algorithms) to the data, and then make decisions or predict results.
For example, computers use algorithms to recognize characters or shapes commonly used by humans and recognize them through rules. The data can be images of handwritten text, letters or numbers. For example, as early as 1997, the United States Postal Service used this kind of artificial intelligence to automatically read addresses on letters. For this small application, artificial intelligence already works very well.
In modern artificial intelligence, we basically use artificial neural networks to replicate this process, instead of letting humans write rules, we let machines create rules by themselves, similar to letting our brains learn from experience. We call it machine learning.
In machine learning, we use data to train artificial intelligence, for example, feed it thousands of images with or without faces. The computer then receives the information and creates an algorithm, either completely independent (unsupervised machine learning) or with the help of humans (supervised or semi-supervised machine learning). When machine learning uses multilayer artificial neural networks to learn from training data to make it more powerful, we call it deep learning.
Deep learning allows us to obtain many of the latest developments in the field of artificial intelligence, such as allowing computers to see and recognize content or characters in images or videos (machine vision). It also gives the machine the ability to understand and copy written text or spoken language, which we call natural language processing. We can see this in home smart speakers such as website chatbots or Amazon Echo.
There are two main reasons why deep learning is booming today:
We have data. Data is the raw material to promote the development of artificial intelligence. In today's big data world, we generate more data than ever before. Digitization means that everything we do will leave traces of data. We are increasingly surrounded by smart devices that collect and transmit data. This has led to an exponential increase in the amount and types of data we can now use to train artificial intelligence.
We have computing power. We now have the ability to store and process large amounts of data. The breakthrough of cloud computing enables companies to store almost unlimited data at a low cost and use distributed computing to analyze real-time big data of cars. More importantly, advances in chip technology mean that manual calculations can now be performed on smart phones or other smart connected devices. We call it edge computing on IoT devices.
We humans continue to learn and improve through experience. This learning-by-doing method can now also be replicated by machine learning algorithms through reinforcement learning. How toddlers learn to walk by adjusting their movements based on their own experience, such as walking in small steps if they fall over the previous big step. Similarly, artificial intelligence uses special reinforcement learning algorithms to determine ideal behavior based on feedback from the environment.
Reinforcement learning gives machines (such as robots) the ability to walk, drive, or fly autonomously. Many cutting-edge applications of machine learning combine deep learning and reinforcement learning techniques.
AI opportunities in business
There are three key use cases for artificial intelligence in the business world. They can overlap to some extent, but help to segment opportunities.
Companies can use artificial intelligence to:
1. Change the way they understand and interact with customers.
Artificial intelligence can help companies better understand who their customers are, predict the products or services that customers may need, predict market trends and needs, and provide more personalized interactions with customers. Companies like Stitch Fix and Facebook are using artificial intelligence to truly understand their customers.
2. Provide smarter products and services.
Artificial intelligence can help companies create more intelligent products and services to provide to their customers. Consumers want smarter products, such as smart phones, smart cars, and smart home devices. Car companies such as Apple, Samsung, Tesla and Volvo are all using artificial intelligence to create smarter products. Spotify, Disney (Disney) and Uber (Uber) are turning to artificial intelligence to provide customers with smarter services.
3. Improve and automate business processes.
Artificial intelligence can improve and help automate business processes. For example, JD is using drones, automated distribution centers, and delivery robots to transform its retail business. In addition, artificial intelligence can also automate medical diagnosis for companies such as Infervision and Elsevier, and even provide automated services for Domino's pizza quality inspection.
The strategic application of artificial intelligence in business
Exploring the application of Al in any business usually leads to an update of the business model and even a complete transformation of business methods. It is important that companies do not use artificial intelligence to automate and improve a business model that is no longer relevant during the Fourth Industrial Revolution.
The starting point for using artificial intelligence should be artificial intelligence and data strategies, which can be explored by using the artificial intelligence project canvas shown below to determine the biggest strategic opportunities and threats for any business, and then determine the most influential applications. We must realize that simply experimenting with artificial intelligence at the edge will not have the necessary impact on business success.
This article is reproduced from snow beast software
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