Five big data trends in AI will change in 2018

With the wide application of big data and artificial intelligence, these emerging technologies have a huge impact on the global economy. Now investors and entrepreneurs are eager to achieve these innovations in 2018, and are beginning to identify the main trends that will define these technological innovations. So, what is the driving force behind the current boom in AI and big data? What kind of preparation can investors eager to invest in this phenomenon make? Bingdata Ubuntu helps you understand.

Facts have proved that so far, many forces defining the AI revolution are still at work, and will continue to define how AI affects the market in 2018. By understanding and familiarizing themselves with these five emerging trends, enterprises and professionals will make full use of big data and AI-based solutions as the new year approaches.

1. Pay more attention to retailing

In the recent upsurge of large data and artificial intelligence applications, there is hardly any field like artificial intelligence that can benefit enterprises. Whether it's Wal-Mart or local mother-and-child stores, businesses everywhere seem to be using these technologies to reduce management costs while expanding their business scope. For example, customer service personnel may be completely replaced by AI assistants, but more importantly, retailers can track their inventory through AI, and consumer interest will soon revolutionize.

With more and more retailers applying big data and artificial intelligence to their business models, it is expected that the industry will now be able to use human and machine power to make more profits. In addition, as more companies join and apply it to their businesses, AI may continue to receive more investment.

2. A New Era of Dark Data

With the growth of big data, the chances of commercial success using dark data will also increase. The so-called dark data is the data collected, processed and stored during the normal business activities of enterprises. But these data are often not used for purposes such as analysis, business relationships or direct cash-in gains. For many people who are not familiar with the field of artificial intelligence and data management, such data has been proven useful.

Dark data may be hard to understand, but as more and more companies invest in artificial intelligence, these confusions may dissipate and lead to greater enthusiasm for the ongoing data revolution.

3. Integration of Artificial Intelligence and Cloud Computing

As more and more enterprises adopt AI solutions to deal with their business dilemmas, many of them will seek to strengthen their IT infrastructure and turn their business to the cloud. With the growing scale of large data applicants, AI has become a mainstream, and the resulting data needs will impose a greater burden on the local servers of enterprises, which means that they need to meet their data needs elsewhere.

Cloud computing is well suited to help meet and manage these growing needs, as internally deployed servers and data management become too confusing and costly for enterprises.

4. Smart Marketing

Marketing is one of the key areas to revolutionize the power of big data. By sorting out a large amount of data, enterprises can more accurately target specific consumers and send advertisements and transactions directly to potential consumers'mailboxes or doors than ever before.

As more and more companies try to use automated algorithms to classify data to find potential customers, the area of artificial intelligence will benefit from increased industry investment. Real-time positioning can bring more than 20% sales opportunities to companies that use it correctly, which means that using artificial intelligence can make a lot of profits.

5. Chat robots are more and more widely used.

Big data and artificial intelligence are increasingly widely used worldwide. In all innovations, few applications such as chat robots have amazed consumers. Companies such as Facebook, Skype and Slack have added chat robots to their services, which are very interesting to consumers, including legal help hotlines, and technological innovations have made chat robots smarter and smarter. This means that they can interpret regulations and guide patients through effective diagnosis.

If big data continues to grow at the current high speed, it is expected that there will be more widely used chat robots on the social media platform used recently. This may be faster than people think. These robots driven by artificial intelligence technology may be more effective in chatting with people. People may not even be able to judge whether they are talking to another person.

Big data and AI are often criticized by the press, and there are some inappropriate doomsday scenarios in many Hollywood blockbusters. The fact is, however, that AI and the big data revolution that drives its development are making the world a better place, and businesses and individuals investing in these emerging technologies are now working hard for their own business development. In this world, almost nothing is certain, but if one thing is certain, big data and artificial intelligence will be more applied and developed.

Intelligent Integration of Big Data Bingdata in One Step

Bingdata is a big data company based on big data and intelligently applied to integrated marketing. Collect massive data collected by multi-platform, and provide intellectualized data analysis and transportation for enterprises through the analysis and prediction ability of big data technology.