Manufacturers are often held back by manual workflows and disconnected data. Learn how Agentic AI is transforming operations by connecting systems, automating reporting, and empowering teams to make faster, smarter decisions.
Topic: Data Science Consulting
The Future of Refineries: How Intelligent Systems Are Transforming Downstream Operations
The downstream Oil and Gas industry is leveraging intelligent systems to transform refineries. From predictive maintenance that prevents costly downtime to real-time supply chain optimization and workforce planning, these technologies create adaptive, self-healing operations. Learn how enterprise-wide AI ecosystems are boosting efficiency, resilience, and enhancing performance.
How Data Analytics Powers Multiple Supply Chain Management
Learn how data analytics powers multiple supply chain management by optimizing logistics, mitigating risks, and enhancing efficiency. With predictive insights and real-time monitoring, discover how organizations can streamline operations, reduce costs, and stay resilient in a fast-changing global market.
Approaches to Dynamic Pricing in the Retail Industry
Explore dynamic pricing strategies in retail, focusing on price elasticity, demand modeling techniques, and analytics-driven insights to optimize profitability and customer satisfaction in a challenging economic environment.
Harnessing AI for Safer Workplaces: Revolutionizing Workplace Safety through AI, Advanced Analytics, and Consumption Enablers
Discover EHS 4.0, an advanced AI-powered framework redefining safety practices in renewable energy. Learn how AI, ML, and analytics enable data-driven insights, predictive risk analysis, and proactive safety measures to improve workplace safety and decision-making.
Leveraging Multi-Touch Attribution for Optimizing Pharmaceutical Content-Level Messaging
This white paper introduces a Multi-Touch Attribution (MTA) methodology for the pharmaceutical industry, providing deep insights into tactic messaging and content. It explores how personalized marketing affects New-to-Brand prescriptions (NBRx) and focuses on specific HCP cohorts for targeted analysis, surpassing traditional MTA frameworks with granular data.
4 Data Engineering Challenges Hurting Your Organization
Data engineering transforms raw data into high-quality, actionable insights by integrating security, data management, DataOps, and software engineering. It focuses on building robust platforms for efficient data flow, supporting business intelligence and decision-making. This white paper explores the top four challenges in data engineering, as projects grow in popularity and complexity.
From Data to Discovery: Harnessing the Power of Knowledge Graphs in Drug Development
Integrating and exploring diverse datasets have become crucial for unlocking the complexities in the relationships between genes, diseases, and pharmaceuticals. By combining gene data from the National Center for Biotechnology Information (NCBI), disease data from DisGeNET, and drug data from DrugCentral, this white paper aims to create a comprehensive knowledge graph to visually represent intricate relationships between various entities such as diseases, genes, drugs, and symptoms.
Unlock Fashion Retail Success: Mastering Promotional Effectiveness Measurement
In the dynamic retail world, effective promotions are crucial, especially for fashion and lifestyle brands with high inventory turnover. Advanced analytics and deep business insights are key to accurately measuring promotional performance, driving sales growth, attracting new customers, and building brand loyalty. This article explores how analytics can revolutionize promotional impact evaluation.
Assessing Analytical Maturity of An Organization – Part 2: How Does Your Data Strategy Stack Up?
This is the second part in an on-going series of Assessing Analytical Maturity – Are your Analytical efforts Viable? If you are new to this series, we recommend reading the first part here. Picking up from where we left off, it is time to get our hands dirty and deep dive into the various dimensions… Continue reading Assessing Analytical Maturity of An Organization – Part 2: How Does Your Data Strategy Stack Up?