Data in Depth

Mountain Point
  • 5,0 (20)
  • ADMINISTRAÇÃO
Data in Depth

Data in Depth explores the world of advanced analytics, business intelligence, and machine learning within the context of the manufacturing industry. In each episode, we talk with industry leaders and analytics experts to help manufacturers gain a 360-degree view of the shop floor, their business processes, and their customers. We dig into the concepts of descriptive, prescriptive, and predictive analytics to help solve modern manufacturing problems. From MRP to quality control, from field service to customer experience, our conversations are designed to spur innovative, data-driven thinking for those working to build the factories of the future.

  1. AI Deep Dive - Driving Revenue Growth in Manufacturing Through Aftermarket Sales and CPQ Solutions

    6 DE NOV.

    AI Deep Dive - Driving Revenue Growth in Manufacturing Through Aftermarket Sales and CPQ Solutions

    Join us for an AI Deep Dive as we explore how manufacturers can unlock untapped potential with an aftermarket sales strategy. This episode delves into the benefits of integrating Configure, Price, Quote (CPQ) tools and customer portals to streamline re-orders, replacement parts, and services, transforming aftermarket sales into a seamless, profitable revenue stream. Discover how Revenue Lifecycle Management (RLM) extends beyond the first sale, maximizing customer lifetime value through proact...

    10min
  2. AI Deep Dive - Unlock Efficiency in Your Engineer-To-Order (ETO) Manufacturing Processes

    30 DE OUT.

    AI Deep Dive - Unlock Efficiency in Your Engineer-To-Order (ETO) Manufacturing Processes

    In this AI Deep Dive, we delve into the obstacles ETO manufacturers face, such as complex CPQ workflows, manual processes, and data silos, and reveal how Mountain Point’s expertise helps tackle these challenges head-on. Learn about their comprehensive solutions that not only improve efficiency and accuracy but also pave the way for advanced AI integration and intelligent automation. With Mountain Point, ETO manufacturers can streamline operations, boost customer satisfaction, and stay competi...

    14min
  3. Demystifying Serverless Machine Learning

    29/06/2020

    Demystifying Serverless Machine Learning

    In this episode, we sat down with Carl Osipov with CounterFactual.AI and the author of Serverless Machine Learning In Action. Carl shared some real-world use cases for serverless machine learning and identified strategies to get the most from a machine learning investment. “One of the things that happens at the beginning of a machine learning project — and this is a well-known problem for data scientists and machine learning practitioners — is spending way too much time cleaning up their...

    26min
  4. Using IoT to Maximize Efficiency

    15/06/2020

    Using IoT to Maximize Efficiency

    In this episode, we talk with Ed Kuzemchak from Software Design Solutions. Ed digs into the ways companies can use the Internet of Things (IoT) to increase efficiency. He shares advice on how to identify areas of opportunity to implement IoT and strategies to make the most of an IoT investment. “I think the most important part for a company is to look at systems they have today and say “what part of these systems that we have, can we make more efficient or more cost effective or higher p...

    25min
  5. How Salesforce’s Einstein Analytics Tool Helps Manufacturers See the Big Picture

    01/06/2020

    How Salesforce’s Einstein Analytics Tool Helps Manufacturers See the Big Picture

    In this episode, we sat down with Kyley Darby from Mountain Point and Skye Reymond with Terbium Labs. Kyley and Skye explore how manufacturers can leverage descriptive, predictive, and prescriptive data to optimize business outcomes. They also dig into the ways Salesforce’s Einstein Analytics can help companies better plan for the future. “‘To move forward and look beyond the “what has happened,” manufacturers need to start pulling data together in a centralized manner — to switch from s...

    27min
  6. Beyond Academics: The Practical Applications of Machine Learning

    12/05/2020

    Beyond Academics: The Practical Applications of Machine Learning

    In this episode, we talk with Bastiane Huang with OSARO. Bastiane digs into the practical uses of deep learning and machine learning. She explores beyond the academic applications of machine learning and details some real-world scenarios, including the ability to expand the use of robots in less structured environments. “We use machine learning to allow robots to react to changes in the environment, learn to handle a wide range of different items, and have a range of different tasks. And...

    21min
  7. How Manufacturers Can Decrease Downtimes With Voice-Directed Solutions

    30/04/2020

    How Manufacturers Can Decrease Downtimes With Voice-Directed Solutions

    In this episode, we talk with Alex Reneman with Mountain Leverage. Alex explores the importance of innovations like voice-directed solutions in the midst of a global pandemic when the supply chain may be disrupted. “There's a lot of tribal knowledge that sits in some workers that you can put into a system. So we take some of that data and put it into a voice system to voice-enable the process. So, for example, if you have a flex worker who is fully trained at one station and maybe they'r...

    23min
  8. How Aligning People, Processes, Technology, and Data Helps Manufacturers Do More

    20/04/2020

    How Aligning People, Processes, Technology, and Data Helps Manufacturers Do More

    In this episode, we talk with Mendy Ezagui with Nucleus Technologies and Rapid Logistics Couriers. Mendy digs into strategies manufacturers can employ to customize automation and streamline internal processes to increase productivity.“When you review a [new] software, put it into the hands of some of your users and say: ‘Hey, check this out. Is it simple? Are you getting your job done much better than the way you're doing it right now? Is this efficient? Can you walk through your steps, far m...

    33min
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Sobre

Data in Depth explores the world of advanced analytics, business intelligence, and machine learning within the context of the manufacturing industry. In each episode, we talk with industry leaders and analytics experts to help manufacturers gain a 360-degree view of the shop floor, their business processes, and their customers. We dig into the concepts of descriptive, prescriptive, and predictive analytics to help solve modern manufacturing problems. From MRP to quality control, from field service to customer experience, our conversations are designed to spur innovative, data-driven thinking for those working to build the factories of the future.

Informações

  • Criado por
    Mountain Point
  • Anos de atividade
    2019 - 2024
  • Episódios
    26
  • Classificação
    Livre
  • Copyright
    © 2024 Data in Depth
  • Site do podcast
    Data in Depth

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