BBA Business Process Management: AI in Industrial Applications Quiz

To help industrial customers analyze and use their data better, ultimately saving time, money, energy, and the environment.

Large language models (LLMs) like GPT-4

Intuitive functionality and streamlining the flow of contextualized data across processes and operations.

<p>Industry executives, functional specialists, and shop floor engineers</p> Signup and view all the answers

<p>Extending asset lifespan by up to 20%</p> Signup and view all the answers

<p>Up to 60%</p> Signup and view all the answers

<p>Advanced monitoring and optimization insights into industrial greenhouse gas emissions and energy usage to help achieve sustainability and energy transition objectives.</p> Signup and view all the answers

<p>By enabling capturing an operator's knowledge and facilitating collaborative decision-making across various roles, with a strong emphasis on safeguarding data and knowledge within the enterprise.</p> Signup and view all the answers

<p>Sustainability, operational excellence, and enhanced asset performance.</p> Signup and view all the answers

<p>A new era of AI enabling billions of better decisions.</p> Signup and view all the answers

<p>Long-term success.</p> Signup and view all the answers

<p>The digital transformation of the industrial sector.</p> Signup and view all the answers

<p>The new application can enhance both tangible and intangible resources. Tangible resources like data management infrastructure may be improved. Intangible resources like intellectual property, analytics capabilities, and process efficiencies could be boosted through advanced AI and contextual data processing.</p> Signup and view all the answers

<p>Environmental scanning is vital to identify opportunities like the Azure OpenAI Service that can drive digital transformation and growth. It allows businesses to adapt to changes in the technological landscape and remain competitive by adopting emerging capabilities.</p> Signup and view all the answers

<p>The AI application could significantly enhance BPM by automating and optimizing processes through intelligent data analysis and decision making. It may enable process mining to identify inefficiencies, predictive analytics to anticipate issues, and autonomous process execution leveraging AI models.</p> Signup and view all the answers

<p>An effective control system should provide comprehensive monitoring and governance over the AI application's performance, ethical use of data, and alignment with business objectives. It should enable feedback loops, auditing, and course-correction while balancing innovation and risk management.</p> Signup and view all the answers

<p>By extracting deeper insights from data in context, the application can reveal opportunities for transformative process reengineering, product/service innovations, and strategic pivots. These data-driven revelations can catalyze an innovation mindset and culture of continuous improvement for lasting change.</p> Signup and view all the answers

<p>Key risks include data privacy violations, bias propagation from training data, lack of transparency in AI decisions, misuse or over-reliance on AI outputs, and challenges in aligning AI with ethical principles and societal values. Robust governance is crucial.</p> Signup and view all the answers