We assist our clients in gaining the competitive advantage in their Machine Learning endeavors.
Our services include:
We work with our clients to align their ML initiatives to their overall business strategy and objectives, ensuring maximum value and ROI.
We assist clients define their data strategy, including data acquisition, storage, governance, and security. Further, we provide guidance on data infrastructure, data pipelines, and data quality assurance.
Our expertise is in developing custom machine learning solutions tailored to specific business problems and industry verticals. We offer model development in various ML domains such as natural language processing, recommendation systems, anomaly detection, trend emergence, bias tracking, etc.
At Marketways Arabia, we place a special importance to feature engineering. Working on the principal that “garbage-in, garbage-out”, we believe that Machine Learning models that are fed with high quality data result perform better. Accordingly, we work towards reducing data input to highly causal and refined variables through meticulous feature engineering.
We work with clients to build proof of concept prototypes to demonstrate the feasibility and potential impact of machine learning solutions for clients’ use cases.
We assist clients in deploying ML models into production environments, including cloud platforms, on-premises servers, and edge devices. Further, we help integrate ML models with existing systems and applications, ensuring seamless interoperability.
We assist our clients gain the competitive advantage in Machine Learning by optimizing the performance of ML models in terms of speed, scalability, and resource utilisation. We use a combination of feature-engineering, hyperparameters fine-tuning and model architecture enhancements to achieve better accuracy and efficiency.
We have a strong emphasis on provide techniques and tools to interpret and explain the decisions made by ML models, especially in regulated industries or sensitive applications.
We conduct bias and fairness assessments to identify and mitigate potential biases in ML models, ensuring ethical and equitable outcomes.
Through our sister organisation, Ambeone Institute of AI & Data Science, we offer training workshops, seminars, and courses to upskill clients’ teams in machine learning techniques, tools, and best practices. We also provide ongoing support and mentorship to help clients stay updated with the latest advancements in ML.
We assist clients on regulatory compliance related to data privacy and industry-specific regulations (e.g., healthcare, finance).