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THE FUTURE

Data is the new Oil!

Data is the fuel that drives the machine learning engine.

Data is better than oil since you can reuse it as many times as you want.

Data is the source of information that machines can use learn. Data comes in many different forms, such as structured data like financial data, or unstructured data like pictures. Data can be found in many different places, such as in a network, a database, or a sensor. When you collect data, you must organize it and make it easy to access for everyone who needs to work with it. You must also make sure that any data you collect is accurate and relevant.

The Digital Transformation is the new Industrial Revolution.

Many benefits of using machine learning:

Harnessing the power of machine learning has enabled businesses to:

Learning from Data – understanding past & current experiences to more easily adapt to ever-changing market conditions

Predictive Services – using key performance indicators to road map future possibilities

Analytics: Use your data to increase your revenues & purchasing power – in depth reporting

Intelligent automation – enhancing improvements to operations, product recommendation, streamlining the sales process, fraud recognition, to identifying symptoms in a hospital patient

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Smart Apps Use Cases

AI Chatbot

Chat GPT -> you can have your chatbot that can help automate day-to-day tasks, such as qualifying leads, booking sales meetings, answering FAQs, scheduling appointments, processing orders, tracking orders and capturing essential details for your business workflow.

Product Recommendation

Amazon Product Recommendations -> Use machine learning to build a recommendation engine to recommend a product(s) to a customer based on his purchase history. A product recommender system is an ML model which suggests some items, content or services that a specific user would like to buy or indulge in.

Medical Diagnosis

MRI Image Analysis -> ML can detect diseases earlier than humans. 6 in 10 people live with at least one chronic condition, such as cancer or heart disease. Machine learning can aid cancer diagnosis using medical imagery data to detect, measure, and analyze tumours.

Customers Behavior

Hubspot CRM -> ML comes in handy in understanding your client's behaviour. Clustering, the most important unsupervised learning problem, can create categories grouping similar individuals. Analyze why people say "no" rather than always looking at why they say "yes."

Data Entry Automation

Businesses can use machine learning to automate data entry processes for health data, logistics data, invoice data, handling legal documents or data entry automation at banks, allowing companies to save time and money while improving accuracy. ML Algorithms are more accurate, precise, and dependable than manual data entry.

https://translucentcomputing.com/wp-content/uploads/2022/12/DataEntryAutomation.png

AI Chatbot

Chat GPT -> you can have your chatbot that can help automate day-to-day tasks, such as qualifying leads, booking sales meetings, answering FAQs, scheduling appointments, processing orders, tracking orders and capturing essential details for your business workflow.

Product Recommendation

Amazon Product Recommendations -> Use machine learning to build a recommendation engine to recommend a product(s) to a customer based on his purchase history. A product recommender system is an ML model which suggests some items, content or services that a specific user would like to buy or indulge in.

Medical Diagnosis

MRI Image Analysis -> ML can detect diseases earlier than humans. 6 in 10 people live with at least one chronic condition, such as cancer or heart disease. Machine learning can aid cancer diagnosis using medical imagery data to detect, measure, and analyze tumours.

Customers Behavior

Hubspot CRM -> ML comes in handy in understanding your client's behaviour. Clustering, the most important unsupervised learning problem, can create categories grouping similar individuals. Analyze why people say "no" rather than always looking at why they say "yes."

Data Entry Automation

Businesses can use machine learning to automate data entry processes for health data, logistics data, invoice data, handling legal documents or data entry automation at banks, allowing companies to save time and money while improving accuracy. ML Algorithms are more accurate, precise, and dependable than manual data entry.

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The largest enterprise and fastest growing companies are using Machine Learning from Google, Spotify, Walmart, Exxon, IBM, Amazon, to Ford.

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We listen. We learn. We inform.

We listen. We learn. We inform.

“76% say they are targeting higher sales growth with machine learning… machine learning is making contributions to omnichannel selling strategies today.”

forbes.com

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