Machine Learning and Data Science
With the increase in computing power, organizations are interested in analyzing both internal and external data to identify previously unknown relationships that will drive operational efficiency, increase sales, and provide a competitive marketplace advantage. Deloitte’s Advanced Analytics & Modeling (AAM) practitioners provide end-to-end business solutions using advanced statistical techniques to analyze large quantities of internal and external information to unlock previously unknown, but meaningful, business relationships allowing clients to significantly improve profitability through more informed insights. Analytics techniques include: predictive modeling, simulation, optimization, scenario planning, and data mining. Our Data Mining methodology is based on more than 20 years of R&D in artificial intelligence and neural network applications.
The provided text passage discusses the role of machine learning and data science in helping organizations analyze data to uncover new insights and improve business operations. It does not contain any mathematical questions or answers.
no_question
Given a text passage, determine:
    1. If it contains a mathematical question (including word problems or calculations)
    2. If an answer to that mathematical question is provided in the text

First, describe the content structure you found in 1-2 sentences.

Then provide your analysis in the following format:
TYPE: <one of the following values>
- NO_QUESTION
- SINGLE_QUESTION
- SINGLE_QUESTION_WITH_ANSWER
- MULTIPLE_QUESTIONS
- MULTIPLE_QUESTIONS_WITH_ANSWERS
system
Machine Learning and Data Science
With the increase in computing power, organizations are interested in analyzing both internal and external data to identify previously unknown relationships that will drive operational efficiency, increase sales, and provide a competitive marketplace advantage. Deloitte’s Advanced Analytics & Modeling (AAM) practitioners provide end-to-end business solutions using advanced statistical techniques to analyze large quantities of internal and external information to unlock previously unknown, but meaningful, business relationships allowing clients to significantly improve profitability through more informed insights. Analytics techniques include: predictive modeling, simulation, optimization, scenario planning, and data mining. Our Data Mining methodology is based on more than 20 years of R&D in artificial intelligence and neural network applications.
user
The provided text passage discusses the role of machine learning and data science in helping organizations analyze data to uncover new insights and improve business operations. It does not contain any mathematical questions or answers.

TYPE: NO_QUESTION