As AI grows in popularity, organizations need to understand various pitfalls that may arise during AI development and how to address them. |
Artificial Intelligence has been the go-to technology for companies and enterprises in recent years.
The adoption of AI by enterprises all around the world has grown by 270% in the last four years as artificial intelligence can improve the business process and garner more ROIs.Greater ROIs is the main reason why more than 1/3rd of the companies worldwide are using Artificial Intelligence in a full-blown manner.
As it happens with every technology, the increase in usage of AI has led to several misconceptions about the technology.
There are beliefs that there are only a handful of skilled AI researchers and companies.
Therefore, your organization needs to employ only those to make the most of the technology.
Although, these statements aren't right as Artificial Intelligence is widely accepted and implemented by several experts around the world.Thus, to shred all your misbeliefs about AI technology, let us dug down deep and find out the top 7 myths about Artificial Intelligence.
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Like every other industry, data has also been the core of the insurance industry.
Over the due course of time, what actually has changed is the amount of data and the speed at which machines are processing it for driving useful insights.
Data-driven insights play a vital role in boosting this industry by making decisions based on facts, figures, and user patterns.
Insurance providers adopt Artificial Intelligence (AI) & Machine Learning (ML) technologies to enhance the end-user experience, develop improved solutions for increasing operational efficiency, and build accurate underwriting models.Machine Learning is an application of Artificial Intelligence technology that allows computer systems to deploy algorithms for learning and improving my experience.
Such algorithms are used for building mathematical models which can be used as training data, allowing systems to make decisions & predictions.AI & ML in Insurance IndustryAI and ML technologies make it easier for insurance providers to use the data at their desired pace and way.
Many organizations in this industry have access to data that is usually structured and stored in databases.