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Why You Need to Attend the Outsell DataMoney Conference

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Manage episode 225126389 series 1596099
Contenu fourni par Outsell Inc.. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Outsell Inc. ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.
My first post of 2019! I'm really excited to kick off another year of interviewing founders, analysts, chief product officers, so on and so forth, with the goal of having you take something away from each one of these pieces and conversations. Today, I'm excited to share the conversation I had with Michael Dziekan, VP & Practice Leader here at Outsell, about the Outsell DataMoney Conference for 2019. Michael is a seasoned technology and data market analyst and a global strategy business advisor who specializes in commercializing the evolving data economy, big data and analytics, IoT, cloud services, and artificial intelligence / cognitive computing in commercial markets. He has extensive large enterprise and tech experience, including at the IBM Software Group and IBM Watson & IoT-Platform (including The Weather Company). Michael has helped shape and inform future strategies, establish functional and industry insight, architect value chain ecosystem advances, and develop differentiated client value. I asked Michael to share what we can expect this year from the DataMoney conference. Why should folks be excited about this third annual event? What will attendees take away? This conversation turned out to be far more than a simple infomercial for an event. Rather, it turned into a summary of everything Michael is seeing in the data, information, and analytics economy and why this event was positioned a specific way as a result. I had a great time diving into this with Michael and I hope that you will join both of us in New York on February 7th!
  continue reading

6 episodes

Artwork
iconPartager
 
Manage episode 225126389 series 1596099
Contenu fourni par Outsell Inc.. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Outsell Inc. ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.
My first post of 2019! I'm really excited to kick off another year of interviewing founders, analysts, chief product officers, so on and so forth, with the goal of having you take something away from each one of these pieces and conversations. Today, I'm excited to share the conversation I had with Michael Dziekan, VP & Practice Leader here at Outsell, about the Outsell DataMoney Conference for 2019. Michael is a seasoned technology and data market analyst and a global strategy business advisor who specializes in commercializing the evolving data economy, big data and analytics, IoT, cloud services, and artificial intelligence / cognitive computing in commercial markets. He has extensive large enterprise and tech experience, including at the IBM Software Group and IBM Watson & IoT-Platform (including The Weather Company). Michael has helped shape and inform future strategies, establish functional and industry insight, architect value chain ecosystem advances, and develop differentiated client value. I asked Michael to share what we can expect this year from the DataMoney conference. Why should folks be excited about this third annual event? What will attendees take away? This conversation turned out to be far more than a simple infomercial for an event. Rather, it turned into a summary of everything Michael is seeing in the data, information, and analytics economy and why this event was positioned a specific way as a result. I had a great time diving into this with Michael and I hope that you will join both of us in New York on February 7th!
  continue reading

6 episodes

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