{"version":1,"type":"rich","provider_name":"Libsyn","provider_url":"https:\/\/www.libsyn.com","height":90,"width":600,"title":"519: Overcoming The Perfect Storm: Moving Beyond Basic Automation To Realize AI's Full Potential, with Amazon Web Services","description":"Kris Orlowski of Amazon Web Services talks about their recent survey and what it reveals about data, trust, decision-making and AI readiness in supply chain.   IN THIS EPISODE WE DISCUSS:   [04.12] An introduction to Kris, his background, and his role at Amazon Web Services. \u201cA good part of my role right now, as we\u2019re continuing to innovate, is understanding what supply chain practitioners actually want and need.\u201d [05.17] An overview of AWS \u2013 who they are, what they do, and how they help their customers. [06.20] An overview of Amazon Web Services\u2019 recent industry survey, who they spoke to, and what they were trying to understand. \u201cWe were really trying to understand the gap between aspiration and reality \u2013 because there\u2019s a lot of hype!\u201d [08.12] The challenges businesses are currently facing when it comes to data and decision-making. \u201c85% of supply chain teams take two or more weeks to resolve urgent issues\u2026 And it\u2019s partly because of the \u2018data gathering tax.\u2019\u201d [14.14] From engaging in less strategic work to the creation of a risk aversion culture, the business impact of slow and inaccurate decision-making. \u201cWhen you spend your time firefighting, you\u2019re not doing strategic work.\u201d \u201cThe cost of a delayed decision can exceed the cost of an imperfect one.\u201d [17.20] The surprising results revealed by the AWS survey around how supply chain practitioners envision AI as part of their operations, and what the three-step \u2018execute, adapt, advise\u2019 approach could mean for businesses. \u201cOrganizations are envisioning AI as an operational partner, not just a tool\u2026 An assistant that can work alongside them.\u201d [21.21] The \u2018double barrier phenomenon\u2019 organizations see when trying to implement AI, and what those barriers to both adoption and utilization look like. \u201c57% said the top barrier to realizing AI\u2019s full potential was a limited understanding of its capabilities, followed by a lack of trust in AI recommendations.\u201d \u201cOrganizations are buying AI technology, but they\u2019re not building AI readiness.\u201d [27.17] What businesses are looking for to help them build trust in new technology and AI-powered decision-making. [31.00] How vendors and developers should be thinking about partnership, trust and building the type of AI that businesses are actually looking for. \u201cThere\u2019s a trust paradox. Organizations want AI that is simultaneously autonomous, but controllable; intelligent, but explainable; proactive, but compliant. The vendors that understand this will build AI that organizations actually use, not just purchase.\u201d [35.02] The big opportunities for organizations that are able to make real strides in their decision-making, and how listeners can access the report. [37.36] The survey results that surprised Kris most, and what they might mean for businesses and AI adoption. [41.15] The practical next steps businesses can take to ensure their AI journeys are a success in 2026.   RESOURCES AND LINKS MENTIONED:   Head over to Amazon Web Service\u2019s website now to find out more and discover how they could help you too. You can also connect with AWS and keep up to date with the latest over on LinkedIn, Facebook, YouTube, Instagram or X (Twitter), or you can connect with Kris on LinkedIn. If you enjoyed this episode and want to hear more from AWS, check out 489: Time To Swap Your Axe For A Chainsaw: The Power of Agentic AI. Check out our other podcasts HERE. ","author_name":"Let's Talk Supply Chain","author_url":"https:\/\/www.letstalksupplychain.com","html":"