The fourth industrial revolution is here, acknowledgments to AI and Big Data. According to Big Data experts, there is no definitive figure on the quantity of data in Big Data. It is expected that more than 90% of all existing data was generated last year and continues to expand. Even though this is much data, in its raw form, it is useless. This is where AI comes to make sense of the data. More businesses are already adopting AI. AI Developers state that more than 95 percent of Fortune 1000 executives in 60 firms have invested in AI and Big Data. Artificial intelligence and Big Data have remodeled every industry, and businesses are actively looking for ways to make AI and Big Data serve them.
Learning Of The Blog
- How Big Data works with AI
- Use Cases
- Beverage Industry
- Education
- Food
- Trends
- Conclusion
How Big Data Works with AI
Every day, we produce exponential amounts of data. Humans can not excel in sifting through such large quantities of knowledge and gaining insights from it. As a result, scientists have developed AI algorithms to decode these data loads and to get valuable experience out of chaos. These algorithms are designed to imitate the process of human thought. Today, most of the data is generated from online sources. You will discover what customers want, need, and go through the Internet.
You can see this through the content they share, the pages they like, the reviews they leave, the feedback they give, the programs they enroll, and the sites they frequently visit. Unfortunately, it’s impossible to find out what every single customer wants. This is where AI is coming in. It takes data from various sources and paints a realistic image of what the clients are looking for. AI and big data have become interdependent, as no one can work without the other. Make a career in the two most sought technologies, opt for a certificate course in artificial intelligence, or start your big data training journey.
Use Cases
Artificial intelligence and Big Data have changed every industry, and businesses are actively looking for ways to make AI and Big Data work for them. Let us see some use cases.
Beverage Industry
Coca Cola generates many data it uses to make strategic decisions. Coca Cola became the first non-IT organization to embrace AI and Big Data. Coca Cola is known to have invested heavily in research and development. It combined the gathered data with AI and, using the insights acquired, and it launched a new brand of beverage — Cherry Sprite. Cherry Sprite was based on data collected by clients mixing their drinks to create a perfect cocktail drink.
Education
Throughout the years, educational companies have leveraged AI and Big Data to boost their operations. Traditionally, getting information from any publications meant that you had to get a paper-based publication or book. However, as the use of the Internet expands, several companies have chosen to exploit this and digitize their literature. After scanning the businesses, they saw another obstacle – the abundance of information. It is estimated that the world ‘s data doubles every two years. Not all of this data was useful, and they found that they had to find a way to cut in the noise and give their readers meaningful and workable data. That’s where AI and Big Data came in. AI and Big data have been used to study the reading habits of their clients and to analyze what kind of data they consume a lot. Using these insights, they then applied machine learning to present relevant information to their readers.
Food
Digital menus are a common trend these days, but some food giants have taken it a little higher by implementing digital menus that change based on real-time data analysis. The lists also vary depending on parameters such as weather and time of day. As a result of this breakthrough, revenues have increased by 3%.
Consumer Experience: Food giants are using the technology to make it a win-win situation for them and their customers. Users of their app enjoy several advantages, such as:
- Unique offers for the feature.
- Avoiding long queues at the counter and drive-through
On the other hand, when customers pay through the application, they get not only money but also vital customer data that includes metrics such as:
- Where and when the client is heading to the restaurant
- Frequency of their visit
- Preference between a drive-through or a restaurant
Trends
Data and AI will carry on playing an enhanced role in the business and consumer world. Here are some trends that you need to watch out for to adopt the latest technologies and set up your business for success.
- Increased analytics will play a key role. Augmented Analytics is a modern technology in which AI, machine learning, automation, and natural language processing are used to transform data workflows. It will allow organizations to uncover hidden patterns and gain more insight.
- Automation is going to increase. Organizations are required to automate most of the tasks. Machines will do most of their work without any need for human help. Tools are quicker, so this will allow companies to break down data quickly and use it more effectively and efficiently.
- Future in computation and analytics. Instead of waiting for vast amounts of data to be accumulated and then deciphered, this new technology will allow organizations to carry out real-time data analysis. This is going to help your business stay ahead of the market.
Conclusion
For decades, data has been viewed as something that consumes space; it has been stored away or transported away. Data has become a vital asset in this digital age. It’s the lifeblood of every organizational success. To keep up with your competition, you need to review your strategies and adopt the latest data and AI trends. These two technologies will help you gain reliable insights, regardless of the field in which you work. By making data-driven decisions, nothing can stop your business from reaching the height it deserves.