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Sukruth Pillarisetti, with over 15 years in data, analytics, and business strategy, was Practice Lead at EXL. He led a global team of 350+ professionals, managing the US-West region’s P&L. Read More

Integrating data science into warehouse operations is changing how businesses approach optimization. By leveraging data analytics, companies can gain valuable insights into their operations, identify bottlenecks, and make informed decisions. Read More

As the retail industry continues to expand, intelligent automation technologies will increasingly influence its trajectory, enabling retailers to further maintain a competitive edge while enhancing and delivering exceptional customer experiences. Read More

Jishnu examines GenAI’s early phase, noting most applications remain in R&D. He highlights regional differences like Europe’s data protection focus and identifies logistics, manufacturing, and customer service as leading adopters. Read More

Data anonymization plays a critical role in building trust in AI systems by protecting personal information. Several key anonymization techniques, such as data masking, are briefly described in Exhibit 1. Read More

Naveen highlights how GenAI is rapidly transforming modern business operations, significantly cutting task completion times from months to weeks, boosting efficiency, productivity, and enabling faster decision-making across various industries worldwide. Read More

To remain competitive in today’s market, banks and financial institutions must harness AI-driven data analytics. This enables them to provide personalized recommendations and targeted offerings, making traditional methods effectively obsolete. Read More

The cold chain ensures the safe transport of temperature-sensitive products, maintaining precise conditions throughout the supply chain to preserve their quality, safety, and efficacy from production through to final delivery. Read More

In this episode of AI for Impact, Anand S., Straive’s Head of Innovation and one of India’s top 10 data scientists, shares his unique insights as an esteemed “LLM psychologist.” Read More

Digital twins help businesses optimize operations, improve decision-making, enhance risk management, and boost efficiency across supply chains, resulting in better outcomes through real-time monitoring, predictive maintenance, and comprehensive data analysis. Read More

In fraud detection, synthetic data enhances AI models by simulating diverse fraudulent behaviors, enabling them to more effectively identify, analyze, and prevent potential threats, thereby significantly strengthening overall security measures.
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In the pharmaceutical industry, the role of commercial analytics is becoming increasingly crucial for driving sustainable growth, enhancing operational efficiency, optimizing market strategies, improving decision-making, and fostering a competitive advantage. Read More

The rise of socially conscious consumers and the increasing focus on ESG goals make digital twin technology an ideal solution for driving comprehensive sustainability initiatives within businesses and various industries. Read More

The ability to analyze visual data is increasingly crucial across industries. Vision analytics, a subset of data analytics, focuses on extracting meaningful insights from images and videos to enhance decision-making. Read More

Namit Sureka, President and Chief Analytics & AI Officer at Straive, spearheads innovative AI and analytics initiatives, driving data-driven transformations that enhance operational efficiency and competitiveness for Fortune 500 companies. Read More