• Understanding the Role of AI and How to Use Data

  • 2021/06/02
  • 再生時間: 27 分
  • ポッドキャスト

Understanding the Role of AI and How to Use Data

  • サマリー

  • Artificial intelligence is becoming increasingly more common in the workplace. To really understand how it works and the benefits that it can bring about, talking to people with first-hand experience is key. To learn more about how AI technology is being used, we turn to our very own experts here at Siemens.   In today’s episode, I’m talking to Roberto D'Ippolito, Senior Technical Product Manager of the HEEDS team at Siemens Digital Industries Software based in Belgium. We’ll discuss the range of possibilities within AI, where all that data comes from, and how to create value from it. AI has the potential to offer big advantages over the competition, and machine learning puts all of the information into focus.  You’ll also learn where HEEDS fits into the simulation equation, the key benefits of using the technology, and the process of designing automated vehicles so that unpredictable situations are accounted for. We’ll wrap up by touching on a few misconceptions about AI, and where it might lead us in the future.   In this episode, you will learn: How we can utilize AI industrially and in general (1:48) The role of HEEDS (2:57) The key benefit of AI and machine learning technology (6:51) How the adaptive sampling strategy is being used (9:06) How machine learning meets the challenge of designing autonomous vehicles (11:02) The AV design process (14:13) Where all of the data is coming from (18:16) Challenging beliefs and misconceptions about AI (23:21) The future of AI in engineering (25:00) Connect with Roberto D'Ippolito: LinkedIn Connect with Thomas Dewey: LinkedIn
    続きを読む 一部表示

あらすじ・解説

Artificial intelligence is becoming increasingly more common in the workplace. To really understand how it works and the benefits that it can bring about, talking to people with first-hand experience is key. To learn more about how AI technology is being used, we turn to our very own experts here at Siemens.   In today’s episode, I’m talking to Roberto D'Ippolito, Senior Technical Product Manager of the HEEDS team at Siemens Digital Industries Software based in Belgium. We’ll discuss the range of possibilities within AI, where all that data comes from, and how to create value from it. AI has the potential to offer big advantages over the competition, and machine learning puts all of the information into focus.  You’ll also learn where HEEDS fits into the simulation equation, the key benefits of using the technology, and the process of designing automated vehicles so that unpredictable situations are accounted for. We’ll wrap up by touching on a few misconceptions about AI, and where it might lead us in the future.   In this episode, you will learn: How we can utilize AI industrially and in general (1:48) The role of HEEDS (2:57) The key benefit of AI and machine learning technology (6:51) How the adaptive sampling strategy is being used (9:06) How machine learning meets the challenge of designing autonomous vehicles (11:02) The AV design process (14:13) Where all of the data is coming from (18:16) Challenging beliefs and misconceptions about AI (23:21) The future of AI in engineering (25:00) Connect with Roberto D'Ippolito: LinkedIn Connect with Thomas Dewey: LinkedIn

Understanding the Role of AI and How to Use Dataに寄せられたリスナーの声

カスタマーレビュー:以下のタブを選択することで、他のサイトのレビューをご覧になれます。