Mastering Procurement
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Questions and Answers

Which type of ML algorithm is NOT mentioned in the text?

  • Deep Learning (correct)
  • Reinforcement
  • Supervised
  • Unsupervised

    • What is the main focus of the Digital Twin Overview?

  • Digital Twin Use Cases in Manufacturing and R&D (correct)
  • Simulations examples in Research and Manufacturing
  • Digital Twin Overview
  • Simulations Overview

    • Which of the following is NOT a key skill required to be an Analytics Business Translator?

  • Communication
  • Data Analysis
  • Visual storytelling
  • Machine Learning (correct)

    • What is the process of interpreting complex data into actionable insights called?

    <p>Analytics Business Translation</p> Signup and view all the answers

    What is the role of an Analytics Translator in the 5-step Data Science process?

    <p>Validating and deriving business implications</p> Signup and view all the answers

    What does AI-ML stand for?

    <p>Artificial Intelligence and Machine Learning</p> Signup and view all the answers

    Which term refers to the next phase in the digitization of the manufacturing sector?

    <p>Industry 4.0</p> Signup and view all the answers

    What is the main driver of digitalization in the bioprocessing industry for biologics manufacturing?

    <p>Data Science</p> Signup and view all the answers

    Which technology has the potential to revolutionize every element of pharmamanufacturing labs within the next five to ten years?

    <p>Additive Manufacturing</p> Signup and view all the answers

    What does Pharma 4.0 aim to achieve in pharmaceutical manufacturing?

    <p>All of the above</p> Signup and view all the answers

    Which technology is used to analyze real-time data streams from the production process and identify potential outliers that may lead to quality deterioration?

    <p>Deep learning</p> Signup and view all the answers

    What is the benefit of applying predictive data analytics to track batches of products during the manufacturing process?

    <p>Improved efficiency</p> Signup and view all the answers

    What problem does the deep learning tool using natural language processing (NLP) aim to solve in the clinical trials analysis?

    <p>Interpreting clinical trial protocols</p> Signup and view all the answers

    What is the main advantage of the artificial intelligence platform for pharmaceutical inspection systems?

    <p>Improved detection rates</p> Signup and view all the answers

    Which element is NOT required for Pharma supply-chain resilience?

    <p>Increased outsourcing</p> Signup and view all the answers

    What is a significant reason for Pharma companies' susceptibility to disruption?

    <p>All of the above</p> Signup and view all the answers

    How did a Pharma company improve its manufacturing line speeds using AI?

    <p>Applied analytics and neural networks technologies</p> Signup and view all the answers

    What did a top five Vaccine maker use advanced analytics for?

    <p>Optimizing manufacturing activities</p> Signup and view all the answers

    Which features are considered the most important for predicting success in drug trials?

    <p>Trial outcomes, trial status, trial accrual rates, duration, prior approval for another indication, and sponsor track records</p> Signup and view all the answers

    What is the estimated probability of success for predicting transitions from phase 2 to approval?

    <p>0.78 AUC</p> Signup and view all the answers

    What technology is used to optimize demand forecasting in the drug supply chain?

    <p>AI and machine learning</p> Signup and view all the answers

    What are the results of using predictive and prescriptive maintenance in the pharma supply chain?

    <p>35 days' advance warning of potential issues, tens of millions of USD in lost batches avoided, 50% reduction in lifecycle maintenance costs</p> Signup and view all the answers

    Which stage of development uses advanced data analytics to modify cell expansion steps for higher cell densities and product titers?

    <p>Early-stage development</p> Signup and view all the answers

    What is one of the key factors driving AI-ML in pharmaceutical manufacturing?

    <p>Big data</p> Signup and view all the answers

    What type of data can be displayed in rows, columns, and relational databases?

    <p>Structured data</p> Signup and view all the answers

    What percentage of enterprise data is estimated to be structured data according to Gartner?

    <p>20%</p> Signup and view all the answers

    Which stage of development uses advanced data analytics for real-time bioprocess monitoring and early fault detection?

    <p>Full production</p> Signup and view all the answers

    What type of data cannot be displayed in rows, columns, and relational databases?

    <p>Unstructured data</p> Signup and view all the answers

    Which stage of development uses advanced data analytics to modify cell expansion steps for higher cell densities and product titers?

    <p>Advanced Analytics</p> Signup and view all the answers

    What is the main focus of the Digital Twin Overview?

    <p>Use cases of digital twin in manufacturing and R&amp;D</p> Signup and view all the answers

    What is the role of an Analytics Translator in the 5-step Data Science process?

    <p>Problem Definition</p> Signup and view all the answers

    Which technology has the potential to revolutionize every element of pharmaceutical manufacturing labs within the next five to ten years?

    <p>AR/VR/ER</p> Signup and view all the answers

    Which of the following is NOT a key element for Pharma supply-chain resilience?

    <p>Supply-chain resilience on the executive agenda</p> Signup and view all the answers

    What is the main driver of digitalization in the bioprocessing industry for biologics manufacturing?

    <p>Cost reduction</p> Signup and view all the answers

    What did a top five Vaccine maker use advanced analytics for?

    <p>To improve detection of quality defects</p> Signup and view all the answers

    What technology is used to optimize batch production processes by analyzing real-time data streams from reactors?

    <p>Artificial Intelligence</p> Signup and view all the answers

    Which industry is referred to as Pharma 4.0 in the text?

    <p>Pharmaceutical</p> Signup and view all the answers

    Which technology is NOT mentioned as a characteristic of Industry 4.0 in the text?

    <p>Blockchain</p> Signup and view all the answers

    What is the estimated global economic growth that AI will provide by 2030 according to PwC research mentioned in the text?

    <p>$15.7 trillion</p> Signup and view all the answers

    What are the main enablers of intelligent manufacturing in the bioprocessing industry according to the text?

    <p>Data science and analytics</p> Signup and view all the answers

    What is the estimated predictive measure for the AUC in predicting transitions from phase 3 to approval?

    <p>0.81</p> Signup and view all the answers

    What is the main challenge in optimizing demand forecasting in the drug supply chain?

    <p>Improving forecast accuracy</p> Signup and view all the answers

    What is the primary purpose of using AI and machine learning in predictive and prescriptive maintenance in the pharma supply chain?

    <p>Preventing production downtime</p> Signup and view all the answers

    What is the main challenge in inventory management in the pharma supply chain?

    <p>Inefficient inventory management</p> Signup and view all the answers

    Which deep learning techniques were used for anomaly detection in the production process?

    <p>RNNs, CNNs, and Transformers</p> Signup and view all the answers

    What is the main purpose of using natural language processing (NLP) in clinical trials analysis?

    <p>To analyze and quantify large numbers of clinical trial protocols</p> Signup and view all the answers

    What is the benefit of the artificial intelligence platform for pharmaceutical inspection systems?

    <p>Improved detection rates and reduced false reject rates</p> Signup and view all the answers

    How can predictive analytics and data visualization benefit pharma business leaders in commercial-spend optimization?

    <p>Increase returns by 10 to 25 percent</p> Signup and view all the answers

    Which of the following is NOT a stage in the 5-step Data Science process as defined by McKinsey?

    <p>Validating and deriving business implications</p> Signup and view all the answers

    What is the main focus of AI-ML in pharmaceutical manufacturing?

    <p>Increasing manufacturing efficiency</p> Signup and view all the answers

    Which technology is used to automatically learn from data without being explicitly programmed?

    <p>Unsupervised ML</p> Signup and view all the answers

    What is the role of an Analytics Business Translator in the pharmaceutical industry?

    <p>To communicate findings and insights to stakeholders</p> Signup and view all the answers

    Which stage of development uses advanced data analytics to verify comparable performance at different scales?

    <p>Latestage development</p> Signup and view all the answers

    What is the main focus of data management in pharmaceutical production?

    <p>Extensive data management</p> Signup and view all the answers

    Which type of data can be displayed in rows, columns, and relational databases?

    <p>Structured data</p> Signup and view all the answers

    What percentage of enterprise data is estimated to be structured data according to Gartner?

    <p>20%</p> Signup and view all the answers

    What technology has the potential to revolutionize every element of pharmaceutical manufacturing labs within the next five to ten years?

    <p>Computer vision</p> Signup and view all the answers

    Which technology is used for real-time bioprocess monitoring and early fault detection of batches deviating from good operating conditions?

    <p>Advanced data analytics</p> Signup and view all the answers

    Study Notes

    Digital Twin Overview

    • Focuses on interpreting complex data into actionable insights

    Data Science Process

    • 5-step process involves Analytics Translator
    • Role of Analytics Translator is to facilitate collaboration between data scientists and business stakeholders

    AI and ML

    • AI-ML stands for Artificial Intelligence and Machine Learning
    • Has the potential to revolutionize pharmaceutical manufacturing labs within the next five to ten years
    • Key factor driving AI-ML in pharmaceutical manufacturing is optimizing demand forecasting in the drug supply chain

    Pharma 4.0

    • Refers to the next phase in the digitization of the manufacturing sector
    • Aims to achieve intelligent manufacturing in the bioprocessing industry
    • Focuses on advanced data analytics to modify cell expansion steps for higher cell densities and product titers
    • Enablers of intelligent manufacturing in the bioprocessing industry include AI-ML, IoT, and advanced data analytics

    Data Management

    • 80% of enterprise data is unstructured data according to Gartner
    • Structured data can be displayed in rows, columns, and relational databases
    • Unstructured data cannot be displayed in rows, columns, and relational databases

    Vaccine Manufacturing

    • Top five vaccine maker used advanced analytics for optimizing demand forecasting in the drug supply chain

    Clinical Trials

    • Deep learning tool using natural language processing (NLP) aims to solve the problem of complexity in clinical trials analysis
    • Predictive analytics can improve success rates in drug trials with an estimated probability of 12.5%

    Supply Chain Resilience

    • Key elements required for Pharma supply-chain resilience include advance data analytics, IoT, and AI-ML
    • Main challenge in inventory management is ensuring accurate demand forecasting

    Pharmaceutical Inspection

    • Artificial intelligence platform aims to achieve real-time bioprocess monitoring and early fault detection of batches deviating from good operating conditions
    • Main advantage of the artificial intelligence platform is improved product quality

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    Description

    Optimizing Procurement: Learn how Novartis utilizes advanced manufacturing techniques and machine learning to analyze, enrich, and categorize catalogs. Discover how the Novartis Product Knowledge Base enables cost savings on procurement spending and improves efficiency in searching and recommending products.

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