Blog Tags: AI
A Pharma Leader’s Guide to Driving Effective Drug Launches with Commercial Analytics
Learn how pharma leaders can leverage Tiger Analytics’ Commercial Analytics engine to successfully launch new drugs in the market through enhanced data-driven insights and decision-making.
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Analytics Leadership Transformation in Response to COVID-19: Key Strategies
Discover how analytics leaders are redefining their strategies in response to COVID-19. Understand the utilization of cloud technologies, proactive business collaboration, and how to adapt to new uncertainties based on the evolving role of data science.
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Consulting with Integrity: ‘Responsible AI’ Principles for Consultants
Third-party AI consulting firms engaged in multiple stages of AI development must point out any ethical red flags to their clients at the right time. This article delves into the importance of a structured ethical AI development process.
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Defining Financial Ethics: Transparency and Fairness in Financial Institutions’ use of AI and ML
While time, cost, and efficiency have seen drastic improvement thanks to AI/ML, concerns over transparency, accountability, and inclusivity prevail. This article provides important insight into how financial institutions can maintain a sense of clarity and inclusiveness.
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Waste No More: Making a Difference with Tiger Analytics’ Data-Driven Solution for a Greener Tomorrow
Improper commercial waste management devastates the environment, necessitating adherence to waste management protocols. Tiger Analytics’ solution for a waste management firm enhanced accuracy, efficiency, and compliance, promoting sustainable practices.
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Suez Canal Crisis & Building Resilient Supply Chains
The Suez Canal crisis was a catalyst for change in supply chain management. In this piece, we explore how leading companies are using AI, analytics, and digital twins to build more resilient, agile supply chains. Discover how proactive planning and smart technology can turn disruption into a competitive advantage.
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AI Can Revolutionize Industrial Safety; Save Lives
Author: Sri Vallabha Deevi Between May and July 2020, there were 30 recorded industrial accidents in India, killing at least […]
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Measuring Crop Health Using Deep Learning
Author: Ajith Raam D Agrochemical companies manufacture a range of offerings for yield maximization, pest resistance, hardiness, water quality, and […]
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How CPG Brands can leverage AI to fuel success on Amazon
Authors: Harini Shekar, Sunder Prabhu Pandemic Effect Recently, my 12-year-old had to write an essay as a part of his […]
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Maximizing Efficiency: Redefining Predictive Maintenance in Manufacturing with Digital Twins
Tiger Analytics leverages ML-powered digital twins for predictive maintenance in manufacturing. By integrating sensor data and other inputs, we enable anomaly detection, forecasting, and operational insights. Our modular approach ensures scalability and self-sustainability, yielding cost-effective and efficient solutions.
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How to Implement ML Models: Azure and Jupyter for Production
Learn how to implement Machine Learning models using Azure and Jupyter for production environments – from model development to deployment, including environment setup, training, and real-time predictions. Understand the advantages of using Azure’s robust infrastructure and Jupyter’s flexible interface to streamline the entire process.
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Detecting Unknown Defects: Leveraging GANs in Product Quality
Implement Generative Adversarial Networks (GANs) to identify hidden defects in products with details on how GANs enhance quality control by simulating defect scenarios and improving detection accuracy. Know how to transform product quality assurance with advanced AI techniques.
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