Augmented Intelligence with AI in Manufacturing - Paul Boris

#AskTheCEO Podcast

Connect with Praemo on the Azure Marketplace: https://bit.ly/2VqJg91 Paul Boris is the Executive Vice President and Chief Revenue Officer of Praemo, a company that fills the critical gap in industrial productivity by leveraging analytics to transform under-utilized data into operation-critical insights. As part of this discussion, we shared how their partnership with Microsoft, their use of Azure, and the Azure Marketplace have empowered them to scale and grow their business. Connect with Paul: Web: https://praemo.com/ Twitter: @PraemoAI @PaulBorisPraemo LinkedIn: https://www.linkedin.com/company/praemo/ Microsoft partnership opportunities for manufacturing partners: [e-mail] Contact Avrohom: Web: https://asktheceo.biz Facebook: AvrohomGottheil Twitter: @avrohomg Instagram: @avrohomg INTERVIEW HIGHLIGHTS: [00:48] IoT deployments have gone up, year over year, with a projected number of 20.4 billion devices installed by the end of this year. While many device manufacturers like to paint a picture of customers using only their products in the customer’s environment, the reality is that many manufacturing facilities have all kinds of IoT devices installed in there. As we know, one of the benefits of having an Industrial IoT solution is the ability to obtain actionable analytics from your devices. That is hard enough to attain on a single manufacturer’s platform, let alone a hodgepodge of hundreds of thousands of disparate devices across an industrial manufacturing facility. What are the challenges industrial operations run into when trying to convert IoT-collected data into useful insights? [01:48] Everyone is in a rush to drive more data and IoT devices into the operation. [01:59] The biggest challenge is that people don’t think they have data at all. The data they have is incomplete. [02:35] Another challenge in manufacturing is securely transferring data from IoT devices. With the prevalence of the cloud, this is no longer a major issue. [03:05] Businesses spend too much time normalizing the data versus getting things done. Then, when something changes, they have to start all over again. [04:24] Getting things done is better than trying to get things done perfectly. [05:23] What can manufacturing facilities do to overcome the challenge of generating useful insights from their IoT data? [05:50] Start with what you have and work your way up from there. [06:17] Don’t lose “good” on behalf of pursuing great. [06:29] Begin by creating some insights. Those insights will guide you to what the next best action is, and how you may drive your process forward. [08:50] Praemo recently launched a new offering on the Microsoft Azure marketplace, called Razor. Tell us about it and how it addresses some of the challenges we just discussed. [08:50] How manufacturing facilities can leverage AI and Machine Learning to optimize their operations. [11:48] Paul shares an analogy for the right way to leverage analytics from an airline’s in-flight emergency. [14:12] How would a manufacturing facility use your solution with Azure? [15:13] How can customers find out more about Razor, and procure it through the Azure Marketplace? [16:03] How has partnering with Microsoft helped Praemo scale and grow your business? Paul: Microsoft really understands how to work with small companies. [17:23] How can people find out more about Microsoft partnership opportunities for manufacturing partners? Paul: For more information, you can send an email to [e-mail] and get started with the Microsoft Manufacturing group and Marketplace Rewards. [17:52] How do people connect with you? Paul: You can visit our website at https://praemo.com/. You can also follow us on Twitter at @PraemoAI or look us up on LinkedIn. My personal Twitter account is: @PaulBorisPraemo. [18:17] Do you have any parting words of wisdom that you’d like to share with the audience? #AskTheCEO with Paul Boris