In the internet era, the overall data is increasing rapidly across the globe and this huge amount of data is processed through “Big Data Analysis”. Along with Big Data, two other technologies are bringing revolution to the IT world these days; they are Artificial Intelligence and Machine Learning.
Here, AI and Machine Learning are the sets of technologies that empower the computer systems and other connected machines in the following ways:
- Through a continuous update to data banks
- Through recursive experiments
- Through human interventions etc.
Today, in this post, we will discuss the impact of Big Data Technology on Machine Learning and Artificial Intelligence (AI).
Impact of Big Data on Artificial Intelligence and ML
Machine learning and AI are interconnected and peripherals empowered by these technologies can be programmed in such a way so that they can learn new things by themselves through specific programs and algorithms. The machines can derive relevant and meaningful information with the help of Big Data Analysis.
Let’s understand this with the help of an example; if a person owns leather garment plant in a country and want to judge the market requirement of any other country for a particular season then he can easily do this with the help of Big Data Analytics. The information can be analyzed and accessed quickly through reports that are generated by Big Data tools as per weather conditions and financial status of that particular area for any specific season.
Check How Google Applies Big Data to Know You
How Big Data can help in Extending the AI and ML Workforce?
Due to AI, it is assumed that the complete workforce will be reduced to a larger extent in the near future and most of the work will be done by robots and AI-based computers. Well, big data can change this statement. In the case of Big Data analysis, sentiments and human intelligence are always required and incorporated, while machines always lack such human sentiments and emotions.
For this, let us take the example of a Pharmaceutical Company that hires big data practitioners to analyze the data of the South-East Asian market. Here, experts can quickly sense the pharmaceutical prescription of that area along with all local inhibitions and reservations. Here, any computer-based big data analysis can never yield sensitive and contextual results.
In short, we can say that that the collaboration of Big Data, AI, and ML will only be fruitful for talented and capable data scientists. It will help them to rise continuously in the market. Moreover, this collaboration will surely increase in the future by combining all three technologies together AI, ML, and Big data.
How can Big Data be Benefitted for AI and ML Service Providers?
Right now, the global market of AI and ML solutions is limited. When the Big Data is integrated with Al and ML machines, the devices become smarter and their ability to perform complex analysis also increases. As a result, advanced AI solutions will lead the market and the demand for such machines will also grow constantly.
In Latin America, big data-based AI solutions are used by schools for a long time. They are using AI-based academic solutions and encouraging many other educational institutes to adopt artificial intelligence into their academic methodologies. Hence, the educational market sector may witness considerable growth due to these technological advancements.
Big Data aids to Global Diversification of Al and ML
With the advent of many innovative and beneficial technologies, the price of ML and AI-based solutions fall considerably. So, these AI based devices can be adopted by a number of religious, ethnic, cultural, political affiliations, and inclinations today. Further, AI and ML-based devices need to be trained as per local ethics and requirements.
Big Data analysis for various regions helps in designing the AI and ML-based solutions as per demographic requirements of that region without focusing on their emotions. Such solutions will surely be successful and useful for customers.
Business Areas Where Big Data, AI and ML can Contribute
From the beginning of this post, we are discussing that Big Data, AI, and ML can transform business processes, so now let us look at main areas that can be improved through these technologies:
- Improved Predictive Models
- Optimized use of Social Media Data for Business Feed
- Development of Smart Customer Responsive Products
- Surged Online Sale with the Help of Chat Boat Analysis
- Safer Business with ML and AI Support
- Cost Reductions for Inventory Management
- Improved Data Insights with Big Data and AI implementation
Mainly AI, ML, and Big Data analytics can make the business data simple, accurate, and narrative. By getting real-time business insights, decision-makers can make strategic and better decisions. Volume and velocity factors of Big Data are the two considerable factors that make it powerful and smarter. Here, mainly we can say that AI and Big Data complement each other. Business can get real-world insights or more meaningful results through the integration of Big Data and AI. However, many business and companies are getting benefits from AI, ML, and Big Data integration, some of them are listed below:
- Companies that develop cutting-edge AL programs
- Companies that develop internal AI capabilities
- Companies that manage large proprietary data sets
- Companies that produce hardware like semiconductors, memory storage, and other hardware related products.
- Companies that work on quantum computing technologies.
Hence, it can be seen that many Companies involved in technological development are using AI or ML-based solutions with Big Data to enhance their productivity and range of proposed services.
ML, AI, and Big Data are the future of the business world. If you also want to help your business and grow it in this competitive world, then think about these technologies. Where AI and ML provide smarter and intelligent devices and Big Data help in making decisions with more insights.
Here, we have discussed some examples of Al and Big Data integration and this is clear that better decision making can always be performed by top management people. Technological implementation ensures you with a future-ready and more stable business that can be achieved by combining these technologies together.