Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use to progressively improve their performance on a specific task.
Artificial Intelligence (AI) It is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are biologically observable.
DigiProton enriches standard Python machine learning development models with custom data pre-processing scripts vectoring data, removing correlations and outliers. Uploading the prepared dataset, our team of developers configure the machine learning model in line with your objectives.
DigiProton runs training algorithms that find dependencies across disparate datasets, including unstructured and structured human-generated and system-provided data.
ML programmers at DigiProton evaluate the results generated by the machine learning model and fine-tune the model parameters on a continuous basis until the results get fully acceptable.
Our team of ML developers and programmers wrap the machine learning model source code into a separate container, publishing it to the required platform, so that you can start inference on the new data.
Anomaly detection, Association rules, Predictions
Spam filtering, Sentiment analysis, Information extraction
Image tagging, Optical Character Recognition
What if your sales technology was so smart that it knew the business deals you were working on through your calendar, email, and phone interactions? That’s AI in action. It automatically builds and monitors your pipeline so that you can focus on closing more deals rather than on manual data entry.
Too much on your plate? Use AI as your sales assistant in finding the data you need, reminding you to follow-up with certain prospects, and ensuring nothing falls through the cracks.
Marketing teams today have to adopt better and smarter ways to attract new customers. The big data trend gives companies a jaw-dropping amount of information on buyer behaviour but no real way to utilize it.
Just add AI, and you’ve got accurate predictions and qualified leads. Now marketers can categorize and build audiences based on the likely future actions of users. AI can even automate email timing, offer customer recommendations, and predict customer sentiments and purchasing behaviour from time to time.
How do you know if customers aren’t happy when they don’t tell you? Until now, customer service departments were half-expected to employ mind readers to understand customer needs.
Artificial Intelligence can capture signals that your team might miss and can find correlations and sentiments in customer data. It helps predict actions of the customer and in case an unhappy customer is about to unsubscribe from your services, AI can send out signals well in advance to help you turn around that relation and retain the customer.
With AI, you can create a personal shopping assistant for your customers. You can create an immersive shopping experience for your customers and understand their style preferences, pricing points.
Based on this real-time information, you can showcase popular picks and target customers who are more likely to buy your products. Creating a fashion / personal shopping assistant with AI will help you eliminate much of the researching process on both ends and bring you closer to your customers.
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