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What’s Next in Project Data Analytics?

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Manage episode 358484834 series 3007068
Innhold levert av Major Projects Association. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Major Projects Association eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

Gareth Parkes, Head of Data and Analytics at Sir Robert MacAlpine, interviews Ed Burns, CCO at Mafic, Luis Lattuf and Yixue Shen, both researchers at WMG, to help us understand where project data analytics is going and what are the practical applications, obstacles and opportunities presented by the fast moving technology.

During their conversation, we learn about Mafic's real world application of data and what they have learned about the problem of trust, the need for both organisation and users to derive value from the tech, and how the power of positive motivation is encouraging uptake along with fundamental changes in management assumptions and style.

We also hear the evidence of the importance of the technology enablers: ease of use and usefulness and ways of overcoming the barriers to adoption; as well as discover the difference between artificial intelligence and machine learning, and how the latter can be used to predict project performance.

  continue reading

30 episoder

Artwork
iconDel
 
Manage episode 358484834 series 3007068
Innhold levert av Major Projects Association. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Major Projects Association eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

Gareth Parkes, Head of Data and Analytics at Sir Robert MacAlpine, interviews Ed Burns, CCO at Mafic, Luis Lattuf and Yixue Shen, both researchers at WMG, to help us understand where project data analytics is going and what are the practical applications, obstacles and opportunities presented by the fast moving technology.

During their conversation, we learn about Mafic's real world application of data and what they have learned about the problem of trust, the need for both organisation and users to derive value from the tech, and how the power of positive motivation is encouraging uptake along with fundamental changes in management assumptions and style.

We also hear the evidence of the importance of the technology enablers: ease of use and usefulness and ways of overcoming the barriers to adoption; as well as discover the difference between artificial intelligence and machine learning, and how the latter can be used to predict project performance.

  continue reading

30 episoder

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