Data in Depth

Mountain Point
  • 5.0 (20)
  • MANAGEMENT
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. Demystifying Serverless Machine Learning

    06/29/2020

    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...

    26 min
  2. Using IoT to Maximize Efficiency

    06/15/2020

    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...

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

    06/01/2020

    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...

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

    05/12/2020

    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...

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

    04/30/2020

    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...

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

    04/20/2020

    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...

    33 min
  7. Using Data to Create Informed Buyers

    03/30/2020

    Using Data to Create Informed Buyers

    In this episode, we talk with Lisa Arthur, marketing expert and advisor for Scoutbee. Lisa digs into strategies manufacturers can use right now to create or expand on a data-driven marketing strategy. That strategy starts with not marketing to customers, and instead, using data to create informed buyers.“The first step around getting strategic, and building that foundation for data-driven marketing, is really deeply understanding those buyers and prospects. Understanding what they find of val...

    24 min
  8. Reduce Risk, Increase Productivity with Machine-As-A-Service

    03/19/2020

    Reduce Risk, Increase Productivity with Machine-As-A-Service

    In this episode, we talk with Michael Cromheecke from SteamChain to discuss blockchain and machine-as-a-service. Michael breaks down how this model improves machine productivity and performance, with reduced risk and little up-front capital. “We use the same data management mechanism, the blockchain technology that enables cryptocurrencies to exist, but we apply it to machine-as-a-service. And what that creates for us is a record that can be shared between organizations, between corporat...

    30 min
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5
out of 5
20 Ratings

About

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.

Information

  • Creator
    Mountain Point
  • Years Active
    2019 - 2020
  • Episodes
    24
  • Rating
    Clean
  • Copyright
    © 2024 Data in Depth
  • Show Website
    Data in Depth

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