GlobalData has identified ten of the biggest influencers in AI on Twitter during Q3 2019, using its Influencer Platform. GlobalData research has found the top AI influencers based on their performance and engagement online. Using research from GlobalData's Influencer platform, Verdict has named ten of the most influential people in AI on Twitter during Q3 2019. Ronald van Loon is a Big Data expert and Director at Advertisement, a data and analytics consultancy firm. He helps data-driven companies in executing data and analytics strategies to become more successful.

The graph represents a network of 5,864 Twitter users whose recent tweets contained "#futureofwork", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Thursday, 16 April 2020 at 09:21 UTC. The tweets in the network were tweeted over the 3-day, 13-hour, 52-minute period from Sunday, 12 April 2020 at 18:54 UTC to Thursday, 16 April 2020 at 08:47 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.

The graph represents a network of 973 Twitter users whose recent tweets contained "Thomas_Harrer", 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 Friday, 17 April 2020 at 22:49 UTC. The tweets in the network were tweeted over the 7-day, 21-hour, 30-minute period from Friday, 10 April 2020 at 00:30 UTC to Friday, 17 April 2020 at 22:01 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.

The graph represents a network of 2,189 Twitter users whose tweets in the requested range contained "deeplearning", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 25 March 2020 at 01:00 UTC. The requested start date was Wednesday, 25 March 2020 at 00:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 5,000. The tweets in the network were tweeted over the 1-day, 4-hour, 34-minute period from Monday, 23 March 2020 at 19:26 UTC to Wednesday, 25 March 2020 at 00:01 UTC.

The graph represents a network of 4,183 Twitter users whose tweets in the requested range contained "#iot", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 10 March 2020 at 05:49 UTC. The requested start date was Tuesday, 10 March 2020 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 12-hour, 17-minute period from Monday, 09 March 2020 at 11:43 UTC to Tuesday, 10 March 2020 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 4,523 Twitter users whose recent tweets contained "#futureofwork", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Tuesday, 25 February 2020 at 08:59 UTC. The tweets in the network were tweeted over the 3-day, 0-hour, 13-minute period from Saturday, 22 February 2020 at 08:19 UTC to Tuesday, 25 February 2020 at 08:32 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.

The graph represents a network of 1,554 Twitter users whose tweets in the requested range contained "#cloudcomputing", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 24 February 2020 at 14:42 UTC. The requested start date was Monday, 24 February 2020 at 01:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 5,000. The tweets in the network were tweeted over the 1-day, 21-hour, 12-minute period from Saturday, 22 February 2020 at 03:48 UTC to Monday, 24 February 2020 at 01:00 UTC.

The graph represents a network of 1,157 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, 21 February 2020 at 14:27 UTC. The requested start date was Friday, 21 February 2020 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000. The tweets in the network were tweeted over the 6-day, 8-hour, 30-minute period from Friday, 14 February 2020 at 14:32 UTC to Thursday, 20 February 2020 at 23:02 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.

The graph represents a network of 2,185 Twitter users whose tweets in the requested range contained "#cloudcomputing", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 17 February 2020 at 14:42 UTC. The requested start date was Monday, 17 February 2020 at 01:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 5,000. The tweets in the network were tweeted over the 2-day, 0-hour, 29-minute period from Thursday, 13 February 2020 at 12:00 UTC to Saturday, 15 February 2020 at 12:30 UTC.

GlobalData research has found the top artificial intelligence influencers based on their performance and engagement online. Using research from GlobalData's Influencer platform, Verdict has named ten of the most influential people in artificial intelligence on Twitter during Q4 2019. Ronald van Loon is a recognised thought leader and one of the leading influencers of technologies including AI, IoT, big data, and data science. As director of Advertisement, now acquired by Digital Power, the influencer provides insights and secures analytics data quality, among other responsibilities. The influencer states that enhanced AI capabilities will allow drones to be controlled with the mind, along with robots eventually overtaking humans.