Data Science & Analytics

DS STREAM works together with your team to identify improvement areas that can benefit from the use of advanced analytics. Our team defines the infrastructure and competencies needed to achieve the goal and creates a roadmap, which incorporates industry best practices and inputs from your business. We are always tool-agnostic and first try to maximize the usage of existing IT infrastructure and analytical platforms. If your approach to analytics no longer gives a competitive advantage, we often suggest exploring one of the available ML-as-a-service cloud solutions.

Our broad industry experience in delivering analytics to Fortune 500 companies gives us the confidence to evaluate and assess your analytical ecosystem. If your company is struggling with the adoption of ML or if business benefits from AI are not on par, we are here to help. By evaluating every step of the ML lifecycle, we pinpoint the challenges and prepare a resolution plan. Then, we summarize the findings in a formal report and outline the next steps. This step includes cost-cutting guidelines and strategies for improving the time-to-market team. We also define processes that limit the rework needed in the ongoing support of machine learning products.

The core of our engineering services is delivering end-to-end AI tools that solve business-critical problems. We can help your company gain a competitive advantage by automating repetitive tasks, making predictions more accurate, allocating marketing budgets effectively, ensuring business continuity with AI-powered tools, securing your corporate data and IP, and improving processing and transformation of multi-structured data.

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If your goal is to develop Machine Learning competences in-house, we can introduce our Data Science consultants to your team. DS Stream Data Scientist will provide you with the capacity to get the analytical work done faster while training others in the process. Our senior experts, working in proximity with your in-house staff, will enable easy knowledge transfer and present a lot of learning opportunities together.

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Marketing Analysis we provide, include processing behavioral data from a vast customer base, optimizing budgets for programmatic advertising, and analyzing sales trends while predicting future patterns. These solutions also involve data enrichment through third-party sources, real-time analysis of events from loyalty applications, and the automation and optimization of ML models to enhance decision-making. Statistical models are crafted to predict customer behaviors based on past event sequences, and strategic optimizations are made for TV ad placements to maximize reach.

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We conduct monitoring of billions of packets daily to detect and mitigate network attacks swiftly. DS STREAM team is analyzing and predicting event sequences to anticipate customer churn, utilizing Natural Language Processing for fraud risk assessment, and processing machine logs to monitor data leaks and detect suspicious traffic patterns effectively. Moreover, we employ Social Network Analysis techniques to identify fraud rings and monitor organized fraud scenarios, enhancing overall security measures and fraud prevention strategies.

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Our team focuses on integrating and transforming machine logs effectively to derive actionable insights. IoT solutions involve the collection and analysis of real-time IoT data feeds to drive informed decision-making. We believe this area is instrumental in constructing event-based campaigns and pipelines, incorporating anomaly detection and sensor data processing to enhance operational efficiency and enable proactive responses to critical events in real time.

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We offer video processing that encompasses image segmentation and classification for automating business processes efficiently. Automatic pattern detection and visual search capabilities, enabling quick and accurate identification of visual content - all are part of DS STREAM team duties. Video processing solutions facilitate automated anomaly detection in visual inputs, enhancing security and surveillance measures. Development of visual search and recommendation engines based on convolutional networks empowers businesses with sophisticated search capabilities and personalized content recommendations.

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