Tom Kartanowicz joins us and shares his thoughts on CISO Reporting, Prioritization and the evolution of the CISO journey.

Tom Kartanowicz, Financial Services Cyber Security

B2BiQ features personal conversations about the business disciplines of Process Excellence, Shared Services, Customer Experience and Customer Management.

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In this episode, Marcus Seibold and Dr Mohsen Seifi interview Brad Keselowski, the founder of Keselowski Advanced Manufacturing. Brad discusses the pain threshold and the need for corporate cover fire in AM, especially when tackling friction points for buyers and programme managers. He explains the delicate balance needed to achieve specs for creating the most cost-effective parts and how to improve confidence with the digital workflow. Siemens Energy is the series sponsor.

What does it take to run a successful AM business? In conversation with Brad Keselowski.

In this episode, sponsored by Siemens Energy, Marcus Seibold and Dr Mohsen Seifi interview Vishal Singh, Co-Founder and CTO at Link3D. He covers how to scale the AM business, minimise the risk of production and maximise output by applying learning from the software industry. These lessons give insight into the best economic, business, and cultural practices needed for success in the AM industry.

What does it take to run a successful AM business? In conversation with Vishal Singh

Success in Additive Manufacturing goes beyond technology. It encourages new ways to think about business governance. Sponsored by Siemens Energy, Marcus Seibold and Dr Mohsen Seifi invite experts to discuss the economics, operational constraints, and the role of culture in creating a successful AM business. Their first guest is Neil Mantle, Director of Manufacturing at Rolls-Royce, with whom we shall delve into the issues around AM with his banker concept and his views on how to build trust and confidence.

What does it take to run a successful AM business? In conversation with Neil Mantle

Data Scientist Jett Oristaglio joins us to talk about Humble AI. Trusted AI and asks, What is everything you need to trust in AI for your life? He goes on to share that trust is not binary- it’s multi -dimensional - and so, there are a number of criteria that should be evaluated. Performance- or, does the model predict the problem being solving for well- otherwise known as accuracy. Operations- or, how reliable is the system that the model is deployed in. And Ethics- or, how well does the model align with the values of the organization. Of course, most talked about is accuracy in that the model has to be fast enough, has to be stable (have strength). Not surprisingly- all of these aspects, you want in a human decision maker.

Tom Kartanowicz, Financial Services Cyber Security

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