AI DEVELOPMENT SERVICES
IT systems can be automated or boosted using Artificial Intelligence, Machine Learning, or data science. And there are problems that can only be solved with these technologies. Our customers are already using AI to make their products more competitive with features such as video and image recognition and more.
Statistics
88%
of executives say that implementing AI at their workplace has increased work productivity
91%
of executives say that AI has simplified their jobs and made them more efficient
$2.9 trln
In 2021, the increase in AI usage across businesses created $2.9 trillion of business value and 6.2 billion hours of worker productivity.
71%
of marketers find AI could be useful for personalization.
80%
of successful marketers in 2022 already have chatbots as part of their customer experience strategy.
51%
of eCommerce, players have implemented automation technologies across sales, marketing, and customer service teams to ensure a seamless user experience for customers.
Services
- Machine Learning
- Data Science
- Computer Vision
- Neural Networks
- Classification
- Deep Learning, and Regression
List of Industries:
ECOMMERCE & RETAIL
AI can help today's online retailers deliver an optimized customer experience on and off their ecommerce websites by using collected business and customer data to make better business decisions and more accurately predict the future.
MARKETING & ADVERTISING
AI is quickly becoming the future of advertising. Advertisers are already using AI to identify and segment audiences, build ad creative, test ads, improve ad performance, and optimize spending - all automatically, in real-time, at scale.
MEDICINE
Artificial intelligence in medicine is the use of machine learning models to search medical data and uncover insights to help improve health outcomes and patient experiences.
TRANSPORTATION
AI has the potential to make traffic more efficient, ease traffic congestion, free driver's time, make parking easier, and encourage car- and ridesharing. As AI helps to keep road traffic flowing, it can also reduce fuel consumption caused by vehicles idling when stationary and improve air quality and urban planning.
REAL ESTATE
Realtors can now use AI algorithms to identify better leads and close deals. And for investors, AI can help determine the right time to buy or sell a property.
E-LEARNING
An AI-based eLearning platform is a machine/system that possesses the ability to perform different tasks requiring human intelligence. It has the ability to offer solutions to human-related problems, like speech recognition, translations, decision making, and much more.
Technologies We Use:
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Python, PyCharm
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Jupyter IDE, Google Colab
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OpenCL, CUDA, Gyrfalcontech by Lightspeeur, Jetson Nano by Nvidia
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IPython, IPyparallel
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PyTorch, NumPy, Pandas, OpenCV, Scikit, SciPy
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DeepSpeech, DanSpeech, DialogFlow, voice & speech agents
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ML Ops: Google Cloud Platform, AWS, on-premise
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TA-Lib
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Graphviz
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BigQuery, Kaggle
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R
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VBA
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MS Power BI
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Domo
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Tableau
Project Stages for AI
Formation of requirements
Requirements Development aims to produce and analyze customer, product, and product component requirements. This process area describes three types of requirements: customer requirements, product requirements, and product component requirements.
Implementation
The implementation phase plays the most important role in the software development process. At this stage, the physical source code of the system being built is created. Programmers code the IT system on the basis of the collected requirements and the developed project documentation.
Maintenance
Software maintenance is the process of changing, modifying, and updating software to keep up with customer needs. Software maintenance is done after the product has launched for several reasons including improving the software overall, correcting issues or bugs, boosting performance, and more.