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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 .

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