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.

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...

06-29
25:52

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...

06-15
24:43

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...

06-01
26:40

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...

05-12
20:55

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...

04-30
22:36

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...

04-20
33:26

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...

03-30
24:23

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...

03-19
30:05

Robots for Hire: The Future of IoT

In this episode, we talk with Zach Boyd from Hirebotics a company that allows manufacturers to hire a robot for hourly work like they would an employee. Zach explores the ways that data and the Internet of Things (IoT) can be harnessed to provide proactive and preventative remote support and maintenance to their customers. “We Cloud Connect our robot so that we can gain real-time insights into how that robot's performing, what problems it might have. And with that, we're able to 98% of t...

02-26
17:02

Proactive not Reactive: How Manufacturers Can Prevent Waste and Ensure Quality

In this episode, we talk with Nick Humpries from Zeiss. Nick shares strategies to head off waste and ensure quality by integrating datasets to monitor production in real-time.“The time that they used to spend wearing out a path between their workstation and the quality lab, is now all spent at their workstation and they are able to make adjustments in a much quicker fashion. And then the data integrity increased because they were able to mask those first few parts that they ended up scrapping...

02-07
22:50

Connecting the Dots — How Manufacturers Can Find Context and Meaning in their Data

In this episode, we talk with Clark Richey from FactGem. Clark offers insights into how manufacturers can take small — but effective — steps to break down data silos for a more complete view of the company."Information is now being connected, and that's what we've come to expect. And successful businesses are doing that really well. Whether it's in the manufacturing space, supply chain, retail, they're connecting all the dots. And that's where those silos lead to problems. We're separating th...

01-24
22:41

How Manufacturers Can Use IoT Data to Drive Bottom-Line Results w/ Caroline Hilla from Cisco

In this episode, we talk with Caroline Hilla from Cisco's Global Manufacturing team. Caroline offers practical and foundational tips for capturing, integrating — and effectively using — IoT data. "There's a perception right now that if it's not broke, don't fix it. And while that may have worked for 15, 20 years now, what we're really seeing is that you're not really able to tap into the full potential of the data that you can be collecting from your different devices and machines using the i...

11-21
19:41

The Manufacturer's IoT Playbook: Where to Start and What NOT to Do - with John Clevenger

"Too many companies I've seen initially get into this thinking they're gonna have some 12, 18-month ROI... they're gonna put a bunch of data in and all of a sudden they're going to have some super whiz-bang thing happening. And it's definitely not that. It's a long-term journey."In this episode, we talk with John Clevenger, Managing Director of Accession Consulting. John shares the many opportunities the Internet of Things (IoT) brings to the manufacturing industry. He offers practical tips f...

11-01
27:43

How Manufacturers Can Use Data to Improve Customers' Experience, Drive Additional Sales, and Do More with Less; featuring Chris Muto from Pro-Tech

"Since we've started this, we're literally adding tens of thousands of dollars of extra revenue when our product ships." In this episode, we talk with Chris Muto, Sales Operations Manager for Pro-Tech, a manufacturer of industrial snow plows. Chris shares how Pro-Tech is using data to improve customers' experience, drive additional sales, and do more with less.Connect with Chris on LinkedIn.Check out Pro-Tech.---This season, we're giving away a pair of Bose QuietComfort 35 wireless headphones...

10-22
26:17

Data-Driven Marketing Part 2 with Francois Gau

In this episode, we talk with Francois Gau, owner and CEO of Levy Industrial. This episode is the second of a two-part segment with Francois. During this portion of the interview, Francois digs into the concept of Inbound Marketing and explains why manufacturing and industrial companies need to focus messaging on thought leadership rather than selling. He shares key metrics companies can use to gain insight into the effectiveness of their efforts and connect marketing investments to sale...

10-11
24:25

Data-Driven Marketing with Francois Gau

In this episode, we talk with Francois Gau, owner and CEO of Levy Industrial. Francois outlines his data-driven approach for generating growth for industrial and tech-based B2B companies. This episode is the first of a two-part segment with Francois. During this portion of the interview, Francois paints a picture of what a modern marketing program looks like in the context of the manufacturing industry. He outlines how manufacturers can move beyond the old standbys of trade shows and dis...

09-27
25:20

5 Ways AI and Machine Learning are Changing the Face of Manufacturing with Louis Columbus

In this episode, we talk with Louis Columbus, a Forbes columnist and principal at IQMS. Louis talks through five ways artificial intelligence and machine learning are revolutionizing the manufacturing industry — from marketing and sales to efficiency, from addressing the talent gap to ensuring quality, safety and security. 13:24 - Labor Challenges I visit a lot of manufacturers. I visit probably five to 10 manufacturers a month, and I periodically do surveys every quarter as part of my r...

09-13
29:02

Boosting the Bottom Line: 3 Ways Data Can Drive Profit for Manufacturers with Mike Wertheim

In this episode, we talk with Mike Wertheim from Hayward Industries. Mike shares how Hayward is using data to boost the company's bottom line and outlines his team's top priorities for 2020. 3:41: 3 Ways Data Can Drive ProfitsMike: Data is important to everybody. For Hayward, we are a manufacturing company and it comes down to the bottom line. So, I'll give you 3 ideas of some things that make data very important to [us]. We are a big company in a mature market. The way to grow in that m...

08-30
32:14

Supply Chain 360: Data and Analytics Powering Modern Logistics with James Lumb

On this episode of Data in Depth, we dig into how sophisticated data and analytics are transforming logistics and changing the way companies manage their supply chains. We talk with James Lumb, CEO of Zenkraft, who offers cutting-edge examples of how logistics data can be used to avoid waste, improve customer experience, and even improve your product line. Chapter markers: 4:48 - Supply Chain 3606:05 - Internet of Things6:54 - Product Improvement Feedback Loops8:55 - The Power of Data I...

08-14
16:24

Cloud ERP: Avoiding 'FrankenCloud' and Moving from Transactional to Strategic Systems with Tom Brennan

In this episode, we talk with Tom Brennan from Rootstock. Tom discusses the pitfalls of 'FrankenCloud' (multiple cloud systems roughly connected). He also digs into the role of the data-driven CFO and shares how companies can move from a transactional to a strategic approach. FrankenCloud - 3:45Tom: People are adding more clouds, and we're in a 'FrankenCloud' stage where you've got multiple clouds and on-premise. You try to draw inferences about that customer and it's very difficult to do. An...

08-04
17:23

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