The graph represents a network of 1,744 Twitter users whose tweets in the requested range contained "#selfdrivingcars", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 30 March 2022 at 12:48 UTC. The requested start date was Wednesday, 30 March 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500. The tweets in the network were tweeted over the 21-day, 23-hour, 8-minute period from Monday, 07 March 2022 at 22:37 UTC to Tuesday, 29 March 2022 at 21:46 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.

The graph represents a network of 1,690 Twitter users whose tweets in the requested range contained "#selfdrivingcars", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 23 March 2022 at 12:47 UTC. The requested start date was Wednesday, 23 March 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500. The tweets in the network were tweeted over the 18-day, 14-hour, 47-minute period from Friday, 04 March 2022 at 09:12 UTC to Wednesday, 23 March 2022 at 00:00 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.

The graph represents a network of 1,483 Twitter users whose tweets in the requested range contained "#FinServ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 20 March 2022 at 01:39 UTC. The requested start date was Sunday, 20 March 2022 at 00:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 7,500. The tweets in the network were tweeted over the 3-day, 6-hour, 59-minute period from Tuesday, 15 March 2022 at 03:22 UTC to Friday, 18 March 2022 at 10:22 UTC.

The graph represents a network of 1,615 Twitter users whose tweets in the requested range contained "#selfdrivingcars", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 16 March 2022 at 12:44 UTC. The requested start date was Wednesday, 16 March 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500. The tweets in the network were tweeted over the 18-day, 5-hour, 39-minute period from Friday, 25 February 2022 at 15:50 UTC to Tuesday, 15 March 2022 at 21:30 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.

The graph represents a network of 1,543 Twitter users whose tweets in the requested range contained "#selfdrivingcars", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 23 February 2022 at 13:47 UTC. The requested start date was Wednesday, 23 February 2022 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500. The tweets in the network were tweeted over the 13-day, 5-hour, 31-minute period from Wednesday, 09 February 2022 at 14:35 UTC to Tuesday, 22 February 2022 at 20:06 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.

AI is the simulation of human intelligence by computers. By applying machine learning algorithms, we can make'intelligent' machines, which can employ cognitive reasoning to make decisions based on the data fed to them. Big Data, on the other hand, is a blanket term for computational strategies and techniques applied to large datasets to mine information from them. BD technology includes capturing and storing the data, and then analyzing it to make strategic decisions and improve business outcomes. Most companies deploy bigdata and AI in silos to structure their existing data sets and to develop machines which can think for themselves.

It is critical for governments, leaders, and decision makers to develop a firm understanding of the fundamental differences between artificial intelligence, machine learning, and deep learning. Artificial intelligence (AI) applies to computing systems designed to perform tasks usually reserved for human intelligence using logic, if-then rules, and decision trees. AI recognizes patterns from vast amounts of quality data providing insights, predicting outcomes, and making complex decisions. Machine learning (ML) is a subset of AI that utilises advanced statistical techniques to enable computing systems to improve at tasks with experience over time. Chatbots like Amazon's Alexa and Apple's Siri improve every year thanks to constant use by consumers coupled with the machine learning that takes place in the background.

The graph represents a network of 1,896 Twitter users whose tweets in the requested range contained "tech4good", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 25 December 2021 at 19:29 UTC. The requested start date was Saturday, 25 December 2021 at 01:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 7,500. The tweets in the network were tweeted over the 13-day, 13-hour, 25-minute period from Saturday, 11 December 2021 at 01:07 UTC to Friday, 24 December 2021 at 14:32 UTC.

The graph represents a network of 4,147 Twitter users whose tweets in the requested range contained "futureofwork ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 25 October 2021 at 20:43 UTC. The requested start date was Monday, 25 October 2021 at 00:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 7,500. The tweets in the network were tweeted over the 4-day, 3-hour, 27-minute period from Wednesday, 20 October 2021 at 20:33 UTC to Monday, 25 October 2021 at 00:00 UTC.

The graph represents a network of 1,597 Twitter users whose tweets in the requested range contained "#selfdrivingcars", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 06 October 2021 at 12:44 UTC. The requested start date was Wednesday, 06 October 2021 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500. The tweets in the network were tweeted over the 14-day, 6-hour, 45-minute period from Tuesday, 21 September 2021 at 16:08 UTC to Tuesday, 05 October 2021 at 22:54 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.