The graph represents a network of 2,721 Twitter users whose tweets in the requested range contained "iot ai", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 30 November 2022 at 12:31 UTC. The requested start date was Wednesday, 30 November 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 4-day, 2-hour, 0-minute period from Friday, 25 November 2022 at 23:00 UTC to Wednesday, 30 November 2022 at 01:00 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.

The graph represents a network of 1,676 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, 11 December 2021 at 19:26 UTC. The requested start date was Saturday, 11 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, 46-minute period from Saturday, 27 November 2021 at 07:28 UTC to Friday, 10 December 2021 at 21:14 UTC.

The graph represents a network of 3,133 Twitter users whose tweets in the requested range contained "InsurTech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 10 September 2021 at 12:18 UTC. The requested start date was Friday, 10 September 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 5-day, 16-hour, 21-minute period from Thursday, 02 September 2021 at 18:05 UTC to Wednesday, 08 September 2021 at 10:26 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.

There is no surprise that technology has advanced in unimaginable ways and reshaped our lifestyle. As far as the healthcare sector is concerned, emerging technologies have the capability to reshape the management of human health and the entire industry as well. Don't worry, it will be changed for good. The infographic below explores the top ways of how artificial intelligence is improving the healthcare industry. According to the graphic, the innovation in technology is emerging rapidly and therefore it is expected to make early detection of diseases way easier, reduce physical visits to the doctor and have virtual consultations, automate the test results, and a lot more.

The graph represents a network of 1,119 Twitter users whose tweets in the requested range contained "iiot ai", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 14 May 2021 at 10:26 UTC. The requested start date was Friday, 14 May 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 2-day, 12-hour, 41-minute period from Tuesday, 11 May 2021 at 11:10 UTC to Thursday, 13 May 2021 at 23:52 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.

The graph represents a network of 4,227 Twitter users whose tweets in the requested range contained "#iot OR "internet of things"", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 27 August 2020 at 06:10 UTC. The requested start date was Thursday, 27 August 2020 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 2-day, 1-hour, 47-minute period from Wednesday, 19 August 2020 at 15:44 UTC to Friday, 21 August 2020 at 17:31 UTC.

The graph represents a network of 1,195 Twitter users whose tweets in the requested range contained "iiot ai", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 17 July 2020 at 09:53 UTC. The requested start date was Friday, 17 July 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000. The tweets in the network were tweeted over the 1-day, 16-hour, 54-minute period from Wednesday, 15 July 2020 at 06:00 UTC to Thursday, 16 July 2020 at 22:55 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.

The graph represents a network of 891 Twitter users whose tweets in the requested range contained "iiot machinelearning", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 17 July 2020 at 10:32 UTC. The requested start date was Friday, 17 July 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000. The tweets in the network were tweeted over the 1-day, 21-hour, 9-minute period from Wednesday, 15 July 2020 at 01:34 UTC to Thursday, 16 July 2020 at 22:44 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.

Are you sure you want to view these Tweets? Is it really that different than the West? BREAKING: Military to jam GPS signals across East Coast through Jan. 24th; FBI asserting imminent domain to seize… http://disq.us/t/3ldp0z3 What Will It Take to Get the Public to Embrace Sound Money? Human Rights Watch says China is trying to censor critics abroad http://cnb.cx/35UVs43

The graph represents a network of 1,485 Twitter users whose recent tweets contained "#MegaTrends", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 26 November 2019 at 16:54 UTC. The tweets in the network were tweeted over the 9-day, 6-hour, 9-minute period from Sunday, 17 November 2019 at 10:27 UTC to Tuesday, 26 November 2019 at 16:36 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.