AI / ML Technologies
We have all seen the growth of technology around us as we progressed in age. It has reached such a step where a few algorithms can handle larger chunks of code by itself. Say hello to the era of Artificial Intelligence and Machine learning where we can define a set of rules and the bot program can handle the tasks autonomously.
Optical Character Recognition (OCR)
Convert text from pictures, image PDF files, scanned documents and handwritten text into digital, machine-readable text with the help of OCR software. The OCR algorithm compares, matches and converts a group of pixels from image to text format with the help of an extensive font library stored locally or on a cloud server sitting elsewhere.
Robotic Process Automation (RPA)
May it be rule-based automation like organizing unstructured data or capturing form data and sending it to another independent system, any automation can be made possible with the use of RPA technologies. Not only limited to that, we can build bots that can learn and predict sales patterns to take your stress off revenue generation efforts.
Conversational AI technologies like Alexa and Ok Google have become a part of our daily lives now. Imagine you building a personalized conversational chatbot to talk to your customers and give special attention to only those who need it the most. We can leverage the many enterprise-level open source platforms like IBM Watson and Kore.ai to build industry-ready bots to serve our varying needs of day-to-day business.
Algorithms have been developed with the capability of improving autonomously over time with usage and accumulation of user data and behavior. Right from sample data input to the slow evolution of self filtering and reporting, ML can do wonders over time.
Deep learning or deep structured learning is an advancement of Machine learning algorithms built on artificial neural networks. It can be as complex as the output taking a few days to generate based on the size of the input dataset. The beauty of such deep networks is that they can be built once and it will run unattended for years to come with almost zero supervision.
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There is a stark difference between traditional project management and AI project management. As a leading artificial intelligence and machine learning development company, we inculcate steps that make your software delivery process intelligent.
Product discovery workshop
Production of AI solution
System deployment in business models
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Syoft has made the seamless transition possibleNowadays, an organization must be ready to work from anywhere, securely and without limitation. Syoft has made this possible for our organization and employees. We had a seamless transistion all along. Thank you Team Syoft.
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Service delivery is top-notch!Syoft has excellent technology professionals who take time to understand your precise business needs, and offer quality advice along and also deliver top notch Apps that can compete with any other global app. On a scale of 10, I give Syoft, a 10.
Best place for SAAS Company!Syoft team completes the journey of taking an idea from concept to development. They were always ready to help us with new methods and were willing to try novel approaches, workshops and exercises. We were definitely impressed by the intellectual rigor that goes behind their mind set and organizational workflow.
Delightful experience with best tech teamWell, working with Syoft on our app was delightful. From the first meeting to the launch of the app, the development team was very forthcoming and active. Team Syoft knows its craft and are experts at iPhone and Android app development. We started with an iPhone app, and now we have built apps on Android, iPad, Tablet, Kindle and the Web with Syoft.
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FAQs Related to
AI/ML Software Development
Here are the top use cases of machine learning in businesses:
- Fraud detection
- Self-driving cars
- Process automation