Chapter 12 - IT's About Business 12.2 - Augmented Analytics Flashcards
By 2025, how much structured and unstructured data is expected to be gathered by organizations?
175 zettabytes (1 zettabytte is equal to 1 billion terabytes)
What is augmented analytics?
Integrates artificial intelligence and machine learning into traditional analytics. It augments how people explore and analyze data, in addition to automating the process of selection and preparing data, and then generating and communicating insights.
What does democratize the use of data mean?
Business users can make decisions based on data without requiring the services of data scientists or IT professionals. It brings insights to more people.
What does natural language generation do?
Find and query the correct data and provide easy to understand results and recommendations using data visualization tools such as a dashboard.
How is augmented analytics generally user friendly?
They come with pre built models and so companies do not need a data scientist to make it work. They also have intuitive user faces and natural language processing. Questions can be asked by using basic business terminology.
What are the five capabilities of augmented analytics?
- Recommend, prepare, and enrich data.
- Create dashboards and reports.
- Provide natural language interfaces.
- Forecast trends and cluster the data.
- Use proactive, personalized analytics with mobile applications.
What are the three parts of recommending, preparing, and enriching data?
- Recommend which data sets to include in a user analysis.
- Alert users when those data sets are updated.
- Suggest new data sets if they are not receiving the results they expected.
What are is the first difference between traditional analytics processes and augmented analytics processes?
Traditional analytics relies on a dashboard, which are based on business questions defined in advance. Users must access a database or data warehouse, and answering the question rakes technical skills of data scientists and a significant amount of time.
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Augmented analytics process is continuous. AI and ML build into the product. Model building and analysis work consistently in the background so they can keep learning and become better at helping users make a decision.
What is the second difference between traditional and augmented analytics?
Traditional uses a publisher / consumer model in which a few data scientists or analysis create reports and dashboards for potentially thousands of users.
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Augmented analytics provides results for all users and enables them to access and analyze data sets on their own.
How are firefighters implementing augmented analytics vs how they were using traditional analytics.
Traditionally analytics was used too predict the behaviour of fires, using data ranging from weather patterns to satellite footage of potential fire fuels, and historical fire behaviour.
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Augmented analysis to extinguish and contain forest fires. In 2021 a fire captain had made a firebreaks with his team to try and stop a fire from spreading. Then he got information about the Suppression Difficult Index which uses machine learning, Big Data, and forecasting, stating that this firebreak only had 10% chance of working. They made a new firebreak and the Suppression Difficult Index was much more promising.
What is the potential operational delineations (PODS)?
Integrate the data sources used in traditional analysis with fire-fighter knowledge, advanced spatial analytics, and other statistical models, including SDI, to help teams predict the most likely places for a fire to break out.
What is the purpose of the PODs?
Plan an attack on a fire before it even breaks out. PODs superimpose these integrated data sources over a map of a region to deliver visual insights.
What its the potential control locations (PCL)?
An algorithm, that uses machine learning to suggest where firefighters should place their control lines, like a fire break during a blaze.
What data is integrated in the PCL?
- Distance from the roads
2,. Locations of ridges and valleys. - Types of combustible material.
- Historical fire perimeters.
What are the benefits of augmented analytics with the community.
Educate the people and have their priorities set straight. We can determine what people care about to be protected and what can be permitted to burn to protect the city from future disasters.
