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Autonomous robots: Designed to operate independently without human intervention. They are equipped with
sensors, actuators, and decision-making algorithms that allow them to perceive their environment, plan their
actions, and execute tasks.
Explain how is AI helpful in the field of robotics?
10.2 Big Data
Big data refers to extremely large and complex datasets that cannot be easily managed, processed, and analyzed using
traditional data processing tools and techniques. Big data is characterized by three main characteristics, known as the
"3 Vs" (later 3 Vs changed to 5 Vs and then to 7 Vs): volume, velocity, variety, variability, veracity, value, and visibility:
1. Volume: Big data refers to datasets that are too large to be stored, processed, and analyzed using traditional
methods. This can include data from a wide range of sources, such as social media, sensors, and transactional
systems.
2. Velocity: Big data is generated at an unprecedented speed, often in real-time or near real-time. This requires
specialised tools and techniques to handle the high data flow rate and ensure timely analysis.
3. Variety: Big data comes in many different forms, including structured, semi-structured, and unstructured data.
This can include text, audio, video, and images, as well as traditional data formats such as spreadsheets and
relational databases.
Volume
Health records
Insurance Transactions
Mobile sensors
Batch Structured
Near Time Unstructured
Real Time Semi-structured
Streaming All the above
Velocity Variety
Big data has significant implications for businesses, governments, and society as a whole. It can be used to improve
decision-making, optimize operations, and create new products and services. To process and analyze big data,
organizations use a range of technologies and tools, such as distributed computing systems like Hadoop, NoSQL
databases, and machine learning algorithms. These tools allow organizations to extract insights and patterns from
the data that can be used for business intelligence, predictive modeling, and other applications. However, the storage
and processing of big data also raise concerns about data privacy, security, and ownership, as well as the potential for
biases and inaccuracies in the data analysis process. So, it is important to approach big data in a responsible and ethical
manner and to ensure that appropriate safeguards are in place to protect individuals’ privacy and rights.
Big data refers to extremely large and complex datasets that cannot be easily managed, processed, and analyzed
using traditional data processing tools and techniques. Big data is characterized by "7 Vs": volume, velocity, variety,
variability, veracity, value, and visibility .
304 Touchpad Informatics Practices-XI

