Exploration
In the initial phase, our seasoned ML engineers meticulously explore your data landscape utilizing sophisticated tools such as Python packages. This in-depth analysis provides invaluable insights essential for crafting a bespoke ML solution precisely tailored to your organizational objectives.
ML Modeling
Building upon our comprehensive understanding of your data, we embark on the development and training of intelligent AI algorithms. This process, spanning approximately 6 months, involves rigorous refinement to ensure the highest level of performance, effectively addressing your unique business challenges.
Deployment
Following thorough testing and optimization, we seamlessly integrate the finalized model into your existing infrastructure. Leveraging premier platforms, such as Azure Machine Learning or ModelDB, we facilitate a smooth and efficient deployment process, minimizing disruption to your operations.
Support
Our commitment extends beyond deployment—LITSLINK provides ongoing support, monitors performance, and addresses challenges promptly. With our dedication, you can navigate the complexities of ML, unlocking opportunities for growth. Trust in our expertise to propel your business forward in AI and ML.
Frequently Asked Questions
1. What is Machine Learning as a Service look like?
Our machine learning as a service (MLaaS) involves a comprehensive audit of your business by our data science team to identify challenges and propose tailored ML solutions. This initiates the exploration stage, where we assess your data volume and determine additional data-sourcing requirements for software development.
2. What is the range of your machine learning services?
LITSLINK’s machine learning services cover a wide range of needs, from startups to established enterprises. We offer customized software solutions to meet specific requirements and drive business objectives effectively.
3. How can machine learning benefit my business?
Machine learning solutions offer numerous benefits to businesses of all sizes and industries. It automates tasks, predicts outcomes, detects trends, and facilitates data-driven decision-making processes, enhancing operational efficiency and driving growth.
4. Can I request a machine learning solution if I don’t have enough data?
Yes, you can. Our data science team will help you find datasets available online, which will align with your request. In case we won’t find the necessary data, we will involve our annotator team, who will gather and mark up the data to build your custom software.