Board Converting News, March 7, 2022

Artificial Intelligence (CONT’D FROM PAGE 16)

The Perfect Combo Get Peak Performance From Your Equipment with Matched Component Sets

skilled is crucial. As leaders look to bring AI into their organizations, it is important that they have strong computing infrastructure in place to support its use. AI tools require a significant amount of computing resources – specifically, central pro- cessing units (CPUs), graphics processing units (GPUs), storage and networking – to perform optimally. Organiza- tions will also need to have a clear understanding on what AI adoption will look like in their organizations and a solid strategy on how to make that adoption a reality. Lastly, it is important that leaders have realistic expec- tations of the problems that AI can, and cannot, solve. AI solutions cannot fix antiquated or poor internal processes and systems. Throwing AI solutions on top of flawed sys- tems will not only lead to failure but lead to failure quicker and with huge tangible and intangible costs. It is important that an organization reflect on their existing systems and culture before embarking on AI solution adoption. Susanne Tedrick is an infrastructure specialist for Azure, Microsoft’s cloud computing plat- form. In her work, Susanne helps her clients address needs and chal- lenges surrounding cloud adoption, migrating on premises workloads to the cloud, and cost optimization. Su- sanne previously worked as a tech- nical specialist for IBM Cloud. For more information, visit BCN To Host Free Webinar On Machine Learning Susanne Tedrick Board Converting News will host a free webinar on March 28, 2022, at 10:00 EST on “How Machine Learning Will Change the Corrugated Industry.” Moderating a panel of experts, BCN’s Editor in Chief Len Prazych will help at- tendees learn about the corrugated facility of the future and specifically, where data is harvested and analyzed, increasing output and profit margins by orders of mag- nitude, and even predicting and preventing breakdowns before they happen. “In the nearly 150 years since corrugated box manu- facturing machines came into existence, output, efficiency, and the bottom line has ridden largely on guesswork and intuition,” says Prazych. “Machine Learning will no longer be seen as a cutting-edge technology, but rather as a ne- cessity. Its strategic incorporation into operations will al- low box plants to gain a fast and long-term competitive advantage over companies that delay adoption.” Panelists who will share their information and knowl- edge on this compelling topic include Matt Miller, Director of Technology at Helios; Justin Gagne, Senior Data Scien-

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