Artificial Intelligence & Machine Learning
As machine learning is evolving beyond the realms of the research projects and becoming a part of our everyday lives, the significance of machine learning powered business solutions is more and more increasing, organizations must adapt to these changes or risk become extinct. Our ML powered business solutions enables you to make faster decisions, increase your productivity without committing any extra resources
Machine Learning
Machine Learning, it’s kind of a buzzword we all have heard and all our lives have been touched by AI in some way or the other. Have you ever shopped online? while checking for a product, did you notice it recommends product similar to what you are looking for? or did you see “the person bought this product also bought this” combination of products. How are they doing this recommendation? This is machine learning.
Did you ever get a call from any bank or finance company asking you to take loan or any insurance policy? Do they call everyone? No, they call only selected customers who they think will purchase their product. How do they select? This is target marketing and can be applied using Clustering. This is machine learning. But what exactly is machine learning.
The Use Cases where AI and ML can really make impact
- Commute Estimation
- Email Intelligence
- Fraud Prevention
- Credit Decisions
- Plagiarism Checking
- Medical Diagnosis and Healthcare
- Personal Smart Assistants
In 2019, 80% of IT and corporate business leaders wanted to learn more about the cost of implementing existing artificial intelligence (AI) technology; 74% were interested in how much more it would cost over present expenditure levels to implement AI in their enterprises. In 2020 most C-level executives have a working understanding of AI and have set their AI strategies. AI initiatives are being pushed down to the operational levels in their organizations, where middle management in business, IT, and data science are now expected to develop and implement AI for the business.
So, you should get into the Machine Learning boat before it sets sails or else it will be too late
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