A successful business enterprise must be flexible and adaptive in times of uncertainty. Good data-driven decision-making must rely on data that is relevant and predictive. The use of adaptive artificial intelligence is one of the emerging trends in data analytics as businesses cope with constant change.
AI That Writes Its Own Code
AI has moved beyond the traditional analysis of data with static learning capability. Traditional AI can handle new data but does not learn from it. Instead, a human developer manually adjusts the code to interact differently with the latest data. The process of updating existing traditional AI can take months. Adaptive AI learns from the data and can revise its code in response to it.
How is it possible for adaptive AI to change itself? It does it through Machine Learning (ML). ML uses statistics to find patterns within the data. Traditional AI recognizes patterns through massive data analysis. Human intervention is needed to identify a new pattern if the data shifts. With adaptive AI, the process of retraining itself to recognize new patterns is a part of its ML architecture. Adaptive AI will change its code in reaction to new data. Through a series of parallel processes, adaptive AI will find the most efficient learning path to identify trending patterns.
Recognizing Data Trends in Real-Time
Emerging trends in adaptive AI that allow it to learn and change its code seem like something out of science fiction. The technology is here, and it has become a valuable tool for many business applications. In the financial sector, adaptive AI can recognize fraudulent activity or predict trading trends. It can also assist medical professionals with quick and accurate diagnoses and spot emerging regional health trends. Adaptive AI is used in manufacturing to identify and predict system malfunctions and solve supply chain problems. The predictive ability of adaptive AI makes it a strong marketing and e-commerce tool, providing real-time insight into consumer demand.
Netbase Quid Offers an AI Platform for Business Solutions
The ability to identify changes in business trends and consumer demand in real-time is critical to business success in today’s marketplace. Emerging trends in AI make it an effective tool for gaining the insights needed to stay a step ahead of the competition. Netbase Quid offers a platform for businesses to build a data-driven marketing strategy. The AI and data analytics experts at Netbase Quid work with companies to customize a marketing plan that identifies industry-specific emerging trends and provides data tools to guide strategic decisions.
Case Study: Using AI to Help Microsoft Gain a Competitive Advantage
Tech giant Microsoft recently used the Netbase Quid AI platform to find startup companies for potential investment, acquisition, or partnership. Microsoft’s goal was to identify the world’s most disruptive companies in a data-driven and unbiased manner. In addition, Microsoft wanted to identify the rising stars ahead of the competition. Netbase Quid used continuous intelligence gathering of news and social media, financial filings, consumer forums, and patent applications to segregate top investment prospects from a worldwide database of over three million companies. The list of investment prospects and methods for identifying them are proprietary, but the power of adaptive AI is evident. It is an excellent example of how Netbase Quid used the power of real-time AI pattern recognition to help Microsoft keep a leg up on the competition.
