The future of artificial intelligence, machine learning and deep learning

The future of artificial intelligence, machine learning and deep learning

Although it is still in the early stage of development and use, AI, machine learning and deep learning have affected our life, work and entertainment. Are you ready to accept and use these disruptive innovations?

Sophia, a robot developed by American Hanson Robotics Company, was officially granted citizenship by Saudi Arabia last month, and Saudi Arabia became the first country in the world to grant citizenship to robots. Sophia is based on Audrey Hepburn, a Saudi citizen, and has now become a household name on the Internet, appearing in various TV programs and global conferences.

In fact, Sophia is not alone. In fact, people have used AI in all aspects of daily life for decades. Artificial intelligence has proved itself to be an important provider of information, learning, reasoning, planning and communication, from voice recognition on smart phones, room cleaning robots and virtual assistants to remind you of meetings.

AI is defined as the process of effectively simulating human intelligence through computers, and AI also includes the concepts of machine learning and deep learning. Through machine learning, AI can make inanimate systems learn automatically and improve the experience (a very "humanized" feature); Deep learning enables computers to learn without explicit programming.

Machine learning can help companies such as Uber determine the ride time, estimate the delivery time of UberEATS (Uber's food delivery application), and calculate the best boarding position. Google uses deep learning for speech and image recognition algorithms, and Amazon uses it to determine what customers want to see or buy next.

Artificial intelligence affects us in three ways.

AI, machine learning and deep learning can be combined to help enterprises develop smarter, better and faster. Although these three are still in the early stage of scientific and technological development, they have unconsciously affected our lives. Mainly reflected in the following three points:

1. Simplify our daily life

According to an article in Forbes magazine, poor customer service has caused a loss of $62 billion, and the deficit will continue to increase. AI can do things that humans can't do, thus improving this situation. Digital assistant has become a powerful assistant widely recognized by the public in daily life. We can expect AI to play a bigger role in our future life, but this is only the beginning. A recent survey by PricewaterhouseCoopers (PwC) shows that most consumers believe that AI will greatly simplify people's daily lives in the near future.

2. Make the public sector more efficient.

AI and machine learning can significantly reduce and control the operating costs of public institutions.

For example, the following example:

The US Army Medical Department is developing wearable monitors, which use machine learning algorithms to measure the potential severity of wounds and help medical personnel prioritize.

The White House, US Customs and Immigration Bureau use chat bots to answer basic questions and leave complex questions to human customer service.

The US Postal Service uses handwriting recognition to classify mail by zip code. Some machines can handle 18 thousand mails per hour.

According to a recent study by Deloitte, using AI to automatically handle the tasks of the federal government can save at least 96.7 million working hours and save $3.3 billion a year.

3. Solve the huge challenges faced by enterprises.

Take manufacturing as an example. The industrial revolution shifted us from mass production to automation. It has been more than half a century since the first batch of robots worked on the production line. The manufacturing industry, now known as Industry 4.0, will become smarter by using AI, machine learning and the Internet of Things. It can collect, integrate, analyze and predict data from customers, partners, markets, factories, workshops and warehouses, so that the company can change the manufacturing and transportation methods of products and goods more effectively and accurately.

Manufacturing is not the only example of using AI; Artificial intelligence affects all areas of the market and is used to solve complex business problems.

For example, many large financial institutions assist their investment practice by investing in artificial intelligence systems. A report in the American Banker's Daily pointed out how Aladdin, the AI engine of wealth management company BlackRock, helped to make investment decisions. At the same time, the company also provided the system to customers, and nearly 30,000 people have used the system. Aladdin has many functions, including using natural language processing to read news, brokerage reports and social media information. The system can also help users make investment decisions.

What should you do?

Using artificial intelligence requires highly specialized skills. Therefore, people must associate AI with how to effectively apply it to the private or public sector.

With the continuous development and maturity of AI, machine learning and deep learning, every enterprise should start to try these technologies, so that the company can develop smarter, better and faster. So what should you do?

We should start with business strategy. Your company may not have a formal and systematic method to predict the future, but it must have a business strategy. These strategies come from assumptions about future changes.

This process requires self-reflection. Comprise that following step:

1. Check the current policy carefully. How is your team performing in carrying out the current plan? What changes are needed? Considering the current situation, using AI technology can make the company operate more efficiently.

2. Analyze the impact of your current job on the team, partners and customers. In what ways can your work be significantly improved?

3. Evaluate your current ability and make improvements. What assets and resources did you have when you started trying AI?

Your assumptions about the future will directly affect what you are doing now. Please re-examine the current policies and procedures carefully.

Any necessary component of future transformation needs talents and culture that combines left brain (analysis) with right brain (creation). The value creation process of AI is no exception. It begins with the generation of correct ideas and ends with the implementation of effective plans.