The world was dealing with big data before the term was officially coined. Organizations were accumulating massive amounts of stored information which, if appropriately analyzed, could empower them with valuable insights. Businesses soon understood that sifting through such voluminous data and converting it into a reliable format to improve business decisions was not humanly possible. IT professionals realized that Artificial Intelligence (AI) algorithms must be created to achieve the colossal task of deriving insight from huge volumes of complex data. But how do big data and AI work together overall?
By all accounts, Big Data is here to stay. Consequently, there will be a huge and growing demand for AI in the foreseeable future. Over the years, we have seen how Big Data and AI are merging into a synergetic relationship. Without AI, mastering data is unthinkable.
By combining Big Data and AI, IT experts can accurately analyze and predict upcoming trends in business, technology, and many other fields.
What is Big Data?
Big data refers to massive, high-velocity datasets of a complex nature. They are leveraged by businesses and analyzed for information and insights. Big data analytics is a measure of the processes and technologies used for analyzing these massive datasets. They include AI and machine learning. Moreover, the goal is to identify patterns and develop actionable insights. This helps businesses make faster decisions that are driven by data. Also, it helps increase efficiency, revenue, and profits.
What is Artificial Intelligence?
Artificial Intelligence is a set of technologies that helps computers emulate human intelligence. These include speech recognition, image recognition, and autonomous driving. AI helps explore and analyze expansive and unstructured data so businesses have greater clarity to understand the various factors influencing their business. There are many subfields of AI, including AutoML and machine learning. They all refer to the use of algorithms and learning and executing tasks without human intervention.
Relationship between AI and Big Data
There is a synergistic connection between Big Data and artificial intelligence. Huge volumes of data are needed to boost decision-making. Additionally, Big data analytics needs AI to perform data analysis. So, by using Big Data and AI in convergence, you can leverage advanced analytics competencies such as predictive analytics and augmented analysis more efficiently. Moreover, with big data analytics boosted by artificial intelligence, users can gain access to intuitive tools and robust technologies needed to obtain insights of great value from data.
Also, companies can boost business performance and efficiency by combining big data and AI technology. They achieve this by:
- Anticipating emerging industry and market trends and making the best use of the output
- Analyzing consumer behavior and automating their segmentation effectively.
- Optimizing the performance of digital marketing campaigns through personalization.
- Developing intelligent decision support systems
Big Data is becoming an indispensable element of every business. The demand for AI is also surging. As mentioned, there is a synergistic relationship between the two.
By combining the two disciplines, businesses can forecast upcoming trends and plan their strategies to extract the best advantages of current and emerging business situations.
Artificial Intelligence for Big Data
It is now possible for businesses to access accurate information about the habits, likes, dislikes, and personal preferences of consumers. Such a situation was unfathomable a decade ago. Moreover, social media accounts, social activity, online profiles, product reviews, content liked and shared by people, and customer relationship management systems help add insightful data to the big data pool.
Collecting Consumer Information
A key asset of AI is its ability to learn and its capacity to recognize data trends. So, by identifying the core aspects of the data, AI identifies the significant pieces of customer feedback and can use them as needed for maximizing impact.
AI’s ability to sync with data analytics is the key reason for its inseparability from big data. AI machine learning and deep learning can pull relevant data input and use them to generate new rules for potential business analytics.
Business Analytics
Research indicates that AI and big data together can automate a significant percentage of physical work, data processing work, and data collection tasks. They have the potential to impact the workplace tremendously and also contribute significantly to the outcome of marketing and business efforts.
The Blending of AI and Big Data
AI and big data can work together to achieve more than what they can do individually. Likewise, the first step is to feed the data into the AI engine. Little human intervention is needed to make the AI run efficiently. When businesses use AI, they aim to gain an advantage from the following features:
- Automated learning and scheduling
- Machine learning
- Natural language processing which is the ability to recognize human speech
- Computer vision which is the ability to extract accurate information from an image/s
- General Intelligence
Conclusion
For AI fields to develop, AI algorithms must be fed massive amounts of data. For instance, perfection in natural language processing will not be possible without providing the systems with millions of samplings of human speech in a format that AI engines can more easily process.
Simultaneously, Big Data will continue to grow as AI becomes a powerful tool for automating more tasks. So, with time, one can expect AI to become a more extensive field as more data becomes available for learning and analysis.
