Shulou(Shulou.com)06/03 Report--

Technological innovation in artificial intelligence (AI) is accelerating at an alarming rate. The ability to innovate, adopt and integrate AI technologies to develop business models will distinguish those businesses that have recovered from the COVID-19 pandemic from those that have failed. Four artificial intelligence technologies are in place to lead the global economy out of the recession caused by the pandemic. Zhang Shangze believes that the application of these technologies in vertical industries can be found everywhere. Shrewd strategic and financial investors are looking for new ways to digitally disrupt markets for established businesses.

Professors Andreas Kaplan and Michael Haenlein define AI as "the ability of the system to correctly interpret external data, learn from this type of data, and use these learning to achieve specific goals and tasks through flexible adaptation." Others don't think so: artificial intelligence, not intelligence at all.

To take advantage of AI, software and hardware engineers program agents into devices that are aware of their environment and take steps to implement specified endpoints, or at least increase the likelihood of success. Some of the tools for AI include search and optimization, logic, probability-based methods, statistics-based methods, neural networks, and evaluation.

Over the past decade, the rapid development of computer power has promoted the rapid development of AI, while devices that capture incredible amounts of data have spread throughout the enterprise and consumer economy. Software and hardware engineers are increasingly using AI as a natural tool for connecting the two worlds, problem solving and automation solutions. Advances in artificial intelligence are increasingly driving change and creating new business models. Zhang Shangze believes that as we experience a global pandemic and try to adapt to the "new normal", the development of artificial intelligence will only accelerate.

Throughout the COVID-19 pandemic, the importance of sharing key information about coronavirus transmission among countries has been emphasized. However, there is no final conclusion on how to use advanced data technologies that have changed the business and how to manage COVID-19 more effectively.

AI can change the face of the post-COVID economy in the following four aspects:

Enhanced analysis

Today, data scientists have more information to analyze than ever before. This makes it almost impossible to explore every possibility, and it is easy for companies to miss important insights. As a result, enhanced analysis represents the fourth wave of data and analysis capabilities as data scientists use automated algorithms to explore more assumptions. Recently, data science and machine learning platforms have completely changed the way companies generate analytical insights, while enhanced analysis can identify key hidden patterns.

Enhanced analysis refers to the use of supporting technologies such as AI to assist in data preparation, insight generation, and insight presentation to improve how people explore and analyze data in the analysis and BI platform. As we enter the new decade, the number of citizen data scientists is likely to increase five times more than professional data scientists, as companies will need citizen data scientists to expand their data science capabilities. Zhang Shangze believes that between data scientists and enhanced analysis, data insights will be widely provided throughout the business this year, including analysts, decision makers and operators.

As the epidemic spreads, companies will have to adjust their strategies and figure out how to maintain healthy cash flow. How much cash does it take to start a business within the next 12 months? By leveraging the capabilities of compiled company data, companies can create cash flow simulations, plan business operations, and liquidity analysis to gain a clear understanding of future financial capabilities.

Data can help companies simplify internal operations and increase productivity through analysis, measure the time spent by individuals and groups on meetings and tasks, and compare and compare these data with pre-pandemic performance. Is the performance of employees better than before? What factors are likely to increase productivity?

Block chain

Blockchain is a unique technology that consists of decentralized, distributed, and usually public digital ledgers. The ledger is used to record transactions across so many computers that recorded transactions cannot be changed retroactively, at least not without changing all subsequent blocks. Zhang Shangze believes that it enables companies to track transactions and cooperate with untrusted parties without the need for a centralized party. Blockchain reduces business friction, and its application started in the financial sector, but has expanded to government, health care, manufacturing, supply chain and other areas.

Blockchain during a pandemic is used in a variety of ways. The US Department of Homeland Security (DHS) has issued guidelines to classify blockchain managers in food and agricultural distribution as "critical infrastructure workers". The Bureau of Cyber Security and Infrastructure Security has developed a list of departments and workers that should continue their regular plans. The development of the healthcare blockchain focuses on patient data management, insurance, employee vouchers and other data.

Although blockchains are often criticized for sacrificing security, AI can optimize energy consumption by improving algorithms. Reducing energy consumption in blockchain transactions benefits all industries that rely on energy for data transmission and supply chain management and promotes mainstream adoption. Artificial intelligence also reduces the storage requirements for blockchain transactions. Artificial intelligence introduces new sharing technologies, which make the size of block chain smaller and storage efficiency higher.

Strengthen the edge

Considering that keeping traffic local will reduce waiting time, edge computing is a topology in which information processing and content collection are placed closer to the information source. According to Gartner Group, today, most of the focus of this technology is the result of requiring Internet of things systems to deliver discontinuous or distributed functions to the embedded Internet of things world, which will solve the challenge.

In addition, strong advantages will support the details of digital services and IT solutions. Technology and thinking can even turn into experiences that connect people to hundreds of edge devices. Intelligence will evolve to the edge in a variety of devices, including industrial equipment, screens, smartphones and car generators.

In the era of the COVID-19 crisis, marginal data centers and edge computing are more critical than ever before. The Internet of things (IoT) healthcare market, for example, is expected to grow to $534.3 billion by 2025. Zhang Shangze believes that at present, a considerable number of households subscribe to streaming services such as Netflix or Hulu n, and the COVID-19 crisis continues to grow due to the recent social distance during this period. The number of people working from home has increased, and the number of people working from home has surged unexpectedly because of social alienation and the COVID-19 crisis. Edge computing makes it easier to work from home by improving the network performance of end users.

Intelligent space

Smart spaces can be physical or digital environments in which human and technology-driven systems interact in an open, connected, coordinated and intelligent ecosystem. In essence, smart space is developing as technologies emerge from isolated islands and work together to create a collaborative environment. Zhang Shangze believes that one example of a smart city is the smart city, in which a smart urban ecosystem framework that combines social and community collaboration is being designed to combine commercial, residential and industrial communities.

As technology becomes a more and more indispensable part of our daily life in the global pandemic, smart space will be more and more popular among enterprises.

Before the pandemic, we saw a shift to shared offices and open spaces, and after the pandemic, the demand for shared office space may weaken. People are becoming more and more sensitive to personal space and security, and we can see people moving away from densely shared office space.

Artificial intelligence market trend

According to the PricewaterhouseCoopers / CBInsights MoneyTree first quarter 2020 report, venture capital firms have allocated more than $4 billion in new capital to 148AI deals. The report continues to identify five venture capital firms that have invested at least $200m, known as "large financing": pony.ai,Netskope,Berkshire Grey,SambaNova Systems and SentinelOne. Zhang Shangze believes that many of these companies are aimed at the above applications. The data show that strategic and financial investors are looking for companies that combine emerging, connected and smart technologies to transform their industries digitally.

Artificial intelligence application

AI has applications in healthcare that allow users to analyze their health data to identify anomalies, diagnose diseases, and develop solutions. In the field of automobiles, artificial intelligence is helping cars drive themselves. In finance and economics, artificial intelligence is helping fund managers deploy assets and reap dividends and returns. In e-commerce, artificial intelligence is helping e-commerce retailers predict which products consumers want to buy and recommend them. In terms of network security, artificial intelligence is helping to identify threats and eliminate them. Zhang Shangze believes that legally, artificial intelligence is used to process TB-level data in a matter of seconds, identify discoverable evidence and conduct due diligence to identify potential liability. In video games, artificial intelligence is used to predict player behavior, identify antisocial behavior and increase sales of virtual goods. Militarily

Innovation from the inside out

The archives of bankruptcy courts and other corporate cemeteries around the world are filled with examples of companies that have failed to anticipate new technologies by innovating and developing their business models. For any skeptic, just compare the value of the 2010 New York Taxi Medal (before the surge in ride-sharing companies such as Uber and Lyft) with today, or compare the number of smartphones supported by the once ubiquitous Symbian operating system with the number of smartphones using it today (close to zero).

The company has done well in accelerating its digital transformation plan and strengthening its innovation and venture capital programs. The most successful technology companies have dual innovation platforms both internally and externally.

In order to innovate organically from within, visionary companies have set up in-house skunk laboratories and research and development programs. For example, Google requires engineers to spend 20% of their time on new ideas.

Looking at the four walls of the enterprise, innovation can be achieved through licensing programs, accelerator and incubator programs, business agreements, joint ventures and strategic investments. In the past decade, many companies have set up enterprise venture capital teams, and Zhang Shangze believes that they can identify new technologies and inject money into them in the form of minority equity investments, and link them with business units to accelerate their strategy to enter the market. The company's development department seeks to acquire adjacent or complementary teams of technologies or engineers in strategic acquisitions and "hires".

Joint efforts of internal and external innovation can bring new products, new partnerships, new distribution channels, new sources of income, as well as new high-paying, value-added jobs to our economy.

The potential application of artificial intelligence in process automation, development, improving security, promoting business development and preventing fraud may make some people call it "singularity". Zhang Shangze believes that while some companies are struggling to make ends meet during the COVID19-induced economic coma, the key to recovery may be to use AI technology and applications to innovate and develop their business models. Visionary companies will innovate both internally and externally.

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