Cleared for Takeoff - Real AI stories from the industries move the world. Transistor (https://transistor.fm) https://feeds.transistor.fm/cleared-for-takeoff-real-ai-stories-from-the-industries-that-keep-the-world-moving Cleared for Takeoff is the podcast for the executives bringing AI into the industries the world depends on: aviation, aerospace and defense, manufacturing, and distribution. These industries keep the world connected, built, supplied, and secure. They fuel progress in every other industry, and AI is changing how they all operate. Every episode, a senior leader shares their real AI story: the decisions, the challenges, and the outcomes that matter. Hosted by Ben Tosado, Founder of Deep Blue Cloud. 2026 Deep Blue Cloud Computing 7cc1c590-bb97-555f-80c0-d75bbb6bea35 yes Cleared for Takeoff Trailer en Thu, 22 Oct 2026 09:30:06 -0400 Thu, 22 Oct 2026 10:06:44 -0400 https://deepbluecloud.io/cleared-for-takeoff https://img.transistorcdn.com/T7nf5LUl7MOTB7PVAI0bAEhsrCMn37jGjip29744Svo/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9mYjNh/OTZkNTU4ZGE5YTNm/ZTU3N2Y0M2Y1OWJj/NDcxNy5wbmc.jpg Cleared for Takeoff - Real AI stories from the industries move the world. https://deepbluecloud.io/cleared-for-takeoff episodic Benjamin Tosado Cleared for Takeoff is the podcast for the executives bringing AI into the industries the world depends on: aviation, aerospace and defense, manufacturing, and distribution. These industries keep the world connected, built, supplied, and secure. They fuel progress in every other industry, and AI is changing how they all operate. Every episode, a senior leader shares their real AI story: the decisions, the challenges, and the outcomes that matter. Hosted by Ben Tosado, Founder of Deep Blue Cloud. Cleared for Takeoff is the podcast for the executives bringing AI into the industries the world depends on: aviation, aerospace and defense, manufacturing, and distribution. AI, Defense, Aviation, Manufacturing, Logistics, Technology, Cloud Deep Blue Cloud Computing podcast@deepbluecloud.io No No The Partner Bench is the Strategy: When the Deadline Can't Move, with Jennifer Torlone, Technoedje 8 8 The Partner Bench is the Strategy: When the Deadline Can't Move, with Jennifer Torlone, Technoedje full 12918511-777f-4a07-afaf-0a6832304d15 https://share.transistor.fm/s/b381c5fd In this episode, we talk to Jennifer Torlone, co-founder and CEO of Technoedje, about how a strong partner bench helps companies scale under pressure. She shares what it took to move Unical Aviation to the cloud in just 12 weeks, how to keep up with the pace of private equity in an industry where downtime isn’t an option, and why security and data governance have to come before AI.

]]> In this episode, we talk to Jennifer Torlone, co-founder and CEO of Technoedje, about how a strong partner bench helps companies scale under pressure. She shares what it took to move Unical Aviation to the cloud in just 12 weeks, how to keep up with the pace of private equity in an industry where downtime isn’t an option, and why security and data governance have to come before AI.

]]> Thu, 22 Oct 2026 09:30:00 -0400 Benjamin Tosado Watch on YouTube Benjamin Tosado 2227 In this episode, we talk to Jennifer Torlone, co-founder and CEO of Technoedje, about how a strong partner bench helps companies scale under pressure. She shares what it took to move Unical Aviation to the cloud in just 12 weeks, how to keep up with the pace of private equity in an industry where downtime isn’t an option, and why security and data governance have to come before AI.

]]> AI, Defense, Aviation, Manufacturing, Logistics, Technology, Cloud No What Aviation AI Experiments Are Missing: Ownership, Strategy and ROI, with Glenn Antoine, Founder of Venture Strategy Advisors 7 7 What Aviation AI Experiments Are Missing: Ownership, Strategy and ROI, with Glenn Antoine, Founder of Venture Strategy Advisors full 8c575a21-ef15-417d-bcee-042fed8f2913 https://deepbluecloud.io/what-aviation-ai-experiments-are-missing-ownership-strategy-and-roi-glenn-antoine/ In this episode, we talk to Glenn Antoine, founder of Venture Strategy Advisors, about what aviation AI experiments are missing: ownership, strategy, and ROI. He shares why organizations should focus less on what technology can do and more on whether they can rely on it, and how piling on tech can get in the way of the problems they're actually trying to solve.

Key Takeaways from this episode:

  • Stalled growth is usually an execution problem, not a market problem. Glenn walks through what he looks for first: slow decisions, weak feedback loops between customers and product, manual processes, and unclear ownership. As he puts it, if you have 10 owners, you don’t have an owner, and at some point more effort stops creating more capacity.
  • AI multiplies whatever it’s dropped into, including chaos. Glenn explains why companies should start with the business problem they most need to solve instead of asking where they can use AI, and why the whole organization, from product and QA to infrastructure and security, needs to be ready before one team speeds up.
  • The biggest AI wins come from augmenting people, not replacing them. Glenn shares how taking repetitive work off people’s plates makes teams more productive while they stay in control of the outcome, and why capturing experienced people’s knowledge in your systems helps new team members get up to speed faster. It all starts with good data.
  • Every business needs a flight plan, and it needs to be revisited. Glenn compares running a company to a cross-country flight: plan before you take off, watch for changing conditions, adjust when needed, and lean on advisors the way pilots lean on ATC, while still owning the outcome.
]]> In this episode, we talk to Glenn Antoine, founder of Venture Strategy Advisors, about what aviation AI experiments are missing: ownership, strategy, and ROI. He shares why organizations should focus less on what technology can do and more on whether they can rely on it, and how piling on tech can get in the way of the problems they're actually trying to solve.

Key Takeaways from this episode:

  • Stalled growth is usually an execution problem, not a market problem. Glenn walks through what he looks for first: slow decisions, weak feedback loops between customers and product, manual processes, and unclear ownership. As he puts it, if you have 10 owners, you don’t have an owner, and at some point more effort stops creating more capacity.
  • AI multiplies whatever it’s dropped into, including chaos. Glenn explains why companies should start with the business problem they most need to solve instead of asking where they can use AI, and why the whole organization, from product and QA to infrastructure and security, needs to be ready before one team speeds up.
  • The biggest AI wins come from augmenting people, not replacing them. Glenn shares how taking repetitive work off people’s plates makes teams more productive while they stay in control of the outcome, and why capturing experienced people’s knowledge in your systems helps new team members get up to speed faster. It all starts with good data.
  • Every business needs a flight plan, and it needs to be revisited. Glenn compares running a company to a cross-country flight: plan before you take off, watch for changing conditions, adjust when needed, and lean on advisors the way pilots lean on ATC, while still owning the outcome.
]]> Thu, 08 Oct 2026 09:56:37 -0400 Benjamin Tosado Watch on YouTube Benjamin Tosado 2154 In this episode, we talk to Glenn Antoine, founder of Venture Strategy Advisors, about what aviation AI experiments are missing: ownership, strategy, and ROI. He shares why organizations should focus less on what technology can do and more on whether they can rely on it, and how piling on tech can get in the way of the problems they're actually trying to solve.

Key Takeaways from this episode:

  • Stalled growth is usually an execution problem, not a market problem. Glenn walks through what he looks for first: slow decisions, weak feedback loops between customers and product, manual processes, and unclear ownership. As he puts it, if you have 10 owners, you don’t have an owner, and at some point more effort stops creating more capacity.
  • AI multiplies whatever it’s dropped into, including chaos. Glenn explains why companies should start with the business problem they most need to solve instead of asking where they can use AI, and why the whole organization, from product and QA to infrastructure and security, needs to be ready before one team speeds up.
  • The biggest AI wins come from augmenting people, not replacing them. Glenn shares how taking repetitive work off people’s plates makes teams more productive while they stay in control of the outcome, and why capturing experienced people’s knowledge in your systems helps new team members get up to speed faster. It all starts with good data.
  • Every business needs a flight plan, and it needs to be revisited. Glenn compares running a company to a cross-country flight: plan before you take off, watch for changing conditions, adjust when needed, and lean on advisors the way pilots lean on ATC, while still owning the outcome.
]]> Aviation AI, Al Leadership, Aerospace and Defense No Speed and Trust: Building AI the Pentagon Actually Uses | Mailani Veney, Kana Systems 5 5 Speed and Trust: Building AI the Pentagon Actually Uses | Mailani Veney, Kana Systems full 0c8b6a25-c89e-48ca-bf4f-cbf7974b56ed https://share.transistor.fm/s/839a04e9 The Department of Defense spent months trying to recruit Mailani Veney, but she kept saying no because she didn't think she had the right background. What changed her mind was realizing they didn't need a defense expert. They needed someone who could bring innovative technology and make an impact fast. Critical decisions were still relying on data that people processed manually, and getting the information together could take weeks. In this episode of Cleared for Takeoff, Ben Tosado sits down with the CEO and founder of Kana Systems to talk about how Kana helps defense teams turn huge amounts of data into faster decisions, why trust matters as much as speed, and what companies should plan for before they start working in the federal space.

]]> The Department of Defense spent months trying to recruit Mailani Veney, but she kept saying no because she didn't think she had the right background. What changed her mind was realizing they didn't need a defense expert. They needed someone who could bring innovative technology and make an impact fast. Critical decisions were still relying on data that people processed manually, and getting the information together could take weeks. In this episode of Cleared for Takeoff, Ben Tosado sits down with the CEO and founder of Kana Systems to talk about how Kana helps defense teams turn huge amounts of data into faster decisions, why trust matters as much as speed, and what companies should plan for before they start working in the federal space.

]]> Thu, 24 Sep 2026 12:36:41 -0400 Benjamin Tosado Benjamin Tosado 1484 The Department of Defense spent months trying to recruit Mailani Veney, but she kept saying no because she didn't think she had the right background. What changed her mind was realizing they didn't need a defense expert. They needed someone who could bring innovative technology and make an impact fast. Critical decisions were still relying on data that people processed manually, and getting the information together could take weeks. In this episode of Cleared for Takeoff, Ben Tosado sits down with the CEO and founder of Kana Systems to talk about how Kana helps defense teams turn huge amounts of data into faster decisions, why trust matters as much as speed, and what companies should plan for before they start working in the federal space.

]]> AI and defense data, Defense Tech, defense industrial base, No AI in Marketing: Data, Metrics, and Buyer Behavior with Omi Diaz-Cooper 4 4 AI in Marketing: Data, Metrics, and Buyer Behavior with Omi Diaz-Cooper full 1768112a-b03f-4442-a112-eb62a371ebfc https://share.transistor.fm/s/1f4abcde Most episodes of Cleared for Takeoff sit down with an operator or a technology leader. This one is different. Omi Diaz-Cooper is CEO of Level 350 Advertising, a platinum certified HubSpot partner who has spent over 21 years studying how B2B aviation buyers actually behave: what pressures they're under, how they justify a purchase, and what risk feels like when a plane is grounded and a part is missing. In this episode, Ben Tosado talks with Omi about why sales, marketing, and IT need to align around the same data and the same definition of success before AI can help at all, what that buyer behavior actually looks like in aviation, and why the companies pulling ahead are the ones that took their data as seriously as their relationships.

]]> Most episodes of Cleared for Takeoff sit down with an operator or a technology leader. This one is different. Omi Diaz-Cooper is CEO of Level 350 Advertising, a platinum certified HubSpot partner who has spent over 21 years studying how B2B aviation buyers actually behave: what pressures they're under, how they justify a purchase, and what risk feels like when a plane is grounded and a part is missing. In this episode, Ben Tosado talks with Omi about why sales, marketing, and IT need to align around the same data and the same definition of success before AI can help at all, what that buyer behavior actually looks like in aviation, and why the companies pulling ahead are the ones that took their data as seriously as their relationships.

]]> Thu, 10 Sep 2026 07:17:42 -0400 Benjamin Tosado Benjamin Tosado 2303 Most episodes of Cleared for Takeoff sit down with an operator or a technology leader. This one is different. Omi Diaz-Cooper is CEO of Level 350 Advertising, a platinum certified HubSpot partner who has spent over 21 years studying how B2B aviation buyers actually behave: what pressures they're under, how they justify a purchase, and what risk feels like when a plane is grounded and a part is missing. In this episode, Ben Tosado talks with Omi about why sales, marketing, and IT need to align around the same data and the same definition of success before AI can help at all, what that buyer behavior actually looks like in aviation, and why the companies pulling ahead are the ones that took their data as seriously as their relationships.

]]> AI, Defense, Aviation, Manufacturing, Logistics, Technology, Cloud No AI Barriers in Aviation and Defense, with Srinivas Matlapudi, AWS 3 3 AI Barriers in Aviation and Defense, with Srinivas Matlapudi, AWS full cf5b629d-1202-458d-8132-01d12bb7f557 https://share.transistor.fm/s/def9a36c Cost pressure and data fragmentation look the same whether you're talking to an aviation company or a manufacturer. But the defense industrial base plays by its own rules. Srinivas Matlapudi, a solutions architect at AWS covering aviation, manufacturing, and the defense industrial base, sees both sides of that line up close. In this episode of Cleared for Takeoff, Ben Tosado talks with Srinivas about what actually separates companies moving fast on AI from the ones stuck at step one, how AWS's co-funding programs work behind the scenes, and why compliance - not appetite - is the real bottleneck for AI in defense.

Srinivas named four things that separate companies ready for AI from companies that are not: data you can actually find and query, cloud infrastructure, someone who understands both the data and the operations, and leadership genuinely behind it. Only the first two can be bought. The other two are about how the company is put together and who is willing to protect the work while it is still unproven. His line on that: if you expect a return in 90 days, do not start. It takes 12 to 18 months, and the team has to be shielded from revenue pressure the whole way. 

]]> Cost pressure and data fragmentation look the same whether you're talking to an aviation company or a manufacturer. But the defense industrial base plays by its own rules. Srinivas Matlapudi, a solutions architect at AWS covering aviation, manufacturing, and the defense industrial base, sees both sides of that line up close. In this episode of Cleared for Takeoff, Ben Tosado talks with Srinivas about what actually separates companies moving fast on AI from the ones stuck at step one, how AWS's co-funding programs work behind the scenes, and why compliance - not appetite - is the real bottleneck for AI in defense.

Srinivas named four things that separate companies ready for AI from companies that are not: data you can actually find and query, cloud infrastructure, someone who understands both the data and the operations, and leadership genuinely behind it. Only the first two can be bought. The other two are about how the company is put together and who is willing to protect the work while it is still unproven. His line on that: if you expect a return in 90 days, do not start. It takes 12 to 18 months, and the team has to be shielded from revenue pressure the whole way. 

]]> Thu, 27 Aug 2026 08:00:00 -0400 Benjamin Tosado Benjamin Tosado 2627 Cost pressure and data fragmentation look the same whether you're talking to an aviation company or a manufacturer. But the defense industrial base plays by its own rules. Srinivas Matlapudi, a solutions architect at AWS covering aviation, manufacturing, and the defense industrial base, sees both sides of that line up close. In this episode of Cleared for Takeoff, Ben Tosado talks with Srinivas about what actually separates companies moving fast on AI from the ones stuck at step one, how AWS's co-funding programs work behind the scenes, and why compliance - not appetite - is the real bottleneck for AI in defense.

Srinivas named four things that separate companies ready for AI from companies that are not: data you can actually find and query, cloud infrastructure, someone who understands both the data and the operations, and leadership genuinely behind it. Only the first two can be bought. The other two are about how the company is put together and who is willing to protect the work while it is still unproven. His line on that: if you expect a return in 90 days, do not start. It takes 12 to 18 months, and the team has to be shielded from revenue pressure the whole way. 

]]> AI, Defense, Aviation, Manufacturing, Logistics, Technology, Cloud No From Marketplace to Agents: Building Airvoyant with Jon Baker 2 2 From Marketplace to Agents: Building Airvoyant with Jon Baker full 65059e08-8118-4d21-b43b-c4d9b1356cc0 https://share.transistor.fm/s/e16257fd Aviation parts procurement is one of the largest and most manual cost centers in the industry. In this episode of Cleared for Takeoff, host Ben Tosado, CEO of Deep Blue Cloud Computing, talks with Jon Baker of AAR about Airvoyant, the AI-driven procurement platform launched at MRO Americas. Airvoyant connects airlines and MROs directly to an ecosystem of more than 5,000 suppliers through Aeroxchange, is built natively on AWS, and integrates with Trax and other ERP systems, using AI agents to analyze supplier quotes and generate purchase recommendations. Jon walks through the platform’s origin, the decision to pivot from a marketplace model to an agentic architecture, how the sourcing agent scores recommendations with human-in-the-loop review, and his vision for a lean AI foundry building the roadmap ahead: agents for demand consolidation, vendor optimization and automated negotiation. 

]]> Aviation parts procurement is one of the largest and most manual cost centers in the industry. In this episode of Cleared for Takeoff, host Ben Tosado, CEO of Deep Blue Cloud Computing, talks with Jon Baker of AAR about Airvoyant, the AI-driven procurement platform launched at MRO Americas. Airvoyant connects airlines and MROs directly to an ecosystem of more than 5,000 suppliers through Aeroxchange, is built natively on AWS, and integrates with Trax and other ERP systems, using AI agents to analyze supplier quotes and generate purchase recommendations. Jon walks through the platform’s origin, the decision to pivot from a marketplace model to an agentic architecture, how the sourcing agent scores recommendations with human-in-the-loop review, and his vision for a lean AI foundry building the roadmap ahead: agents for demand consolidation, vendor optimization and automated negotiation. 

]]> Thu, 13 Aug 2026 06:06:00 -0400 Benjamin Tosado Benjamin Tosado 2283 Aviation parts procurement is one of the largest and most manual cost centers in the industry. In this episode of Cleared for Takeoff, host Ben Tosado, CEO of Deep Blue Cloud Computing, talks with Jon Baker of AAR about Airvoyant, the AI-driven procurement platform launched at MRO Americas. Airvoyant connects airlines and MROs directly to an ecosystem of more than 5,000 suppliers through Aeroxchange, is built natively on AWS, and integrates with Trax and other ERP systems, using AI agents to analyze supplier quotes and generate purchase recommendations. Jon walks through the platform’s origin, the decision to pivot from a marketplace model to an agentic architecture, how the sourcing agent scores recommendations with human-in-the-loop review, and his vision for a lean AI foundry building the roadmap ahead: agents for demand consolidation, vendor optimization and automated negotiation. 

]]> AI, Defense, Aviation, Manufacturing, Logistics, Technology, Cloud No Where AI Is Actually Working, with James Barnes 1 1 Where AI Is Actually Working, with James Barnes full 07bb4332-93bb-40af-bc01-011af4f2e236 https://share.transistor.fm/s/610c01d7 AI is moving faster than anyone can report on it. The useful question is where it’s solving real problems right now.

In the first episode of Cleared for Takeoff, host Ben Tosado, Founder of Deep Blue Cloud, sits down with James Barnes, VP of Operations, to separate practical application from speculation across three industries: aviation, where AI augments compliance-heavy work like parts procurement and line maintenance; manufacturing, where AI fails when it’s treated as an IT line item instead of a business outcome; and distribution, where field technicians replace 20 minutes of portal searching with one phone call to an AI agent.

Plus: AI building AI, and why governance stays human.

Follow Cleared for Takeoff and never miss an episode.

]]> AI is moving faster than anyone can report on it. The useful question is where it’s solving real problems right now.

In the first episode of Cleared for Takeoff, host Ben Tosado, Founder of Deep Blue Cloud, sits down with James Barnes, VP of Operations, to separate practical application from speculation across three industries: aviation, where AI augments compliance-heavy work like parts procurement and line maintenance; manufacturing, where AI fails when it’s treated as an IT line item instead of a business outcome; and distribution, where field technicians replace 20 minutes of portal searching with one phone call to an AI agent.

Plus: AI building AI, and why governance stays human.

Follow Cleared for Takeoff and never miss an episode.

]]> Mon, 27 Jul 2026 21:12:02 -0400 Benjamin Tosado Benjamin Tosado 807 AI is moving faster than anyone can report on it. The useful question is where it’s solving real problems right now.

In the first episode of Cleared for Takeoff, host Ben Tosado, Founder of Deep Blue Cloud, sits down with James Barnes, VP of Operations, to separate practical application from speculation across three industries: aviation, where AI augments compliance-heavy work like parts procurement and line maintenance; manufacturing, where AI fails when it’s treated as an IT line item instead of a business outcome; and distribution, where field technicians replace 20 minutes of portal searching with one phone call to an AI agent.

Plus: AI building AI, and why governance stays human.

Follow Cleared for Takeoff and never miss an episode.

]]> AI, Defense, Aviation, Manufacturing, Logistics, Technology, Cloud No Cleared for Takeoff Trailer 1 1 Cleared for Takeoff Trailer trailer 1d38a90f-6484-42cb-b8ae-42b550f83c19 https://share.transistor.fm/s/852d2a27 Aviation keeps the world connected. Manufacturing builds it. Distribution moves it. And AI is changing how all three operate: faster, smarter, and with higher stakes than any other industry. Cleared for Takeoff is the podcast for the leaders navigating that transformation. Every episode, we sit down with a senior executive from aviation, manufacturing, or distribution to hear their real AI story: the decisions, the challenges, and the outcomes that matter. Hosted by Ben Tosado, Founder of Deep Blue Cloud. Follow now so the first episode lands in your feed.

]]> Aviation keeps the world connected. Manufacturing builds it. Distribution moves it. And AI is changing how all three operate: faster, smarter, and with higher stakes than any other industry. Cleared for Takeoff is the podcast for the leaders navigating that transformation. Every episode, we sit down with a senior executive from aviation, manufacturing, or distribution to hear their real AI story: the decisions, the challenges, and the outcomes that matter. Hosted by Ben Tosado, Founder of Deep Blue Cloud. Follow now so the first episode lands in your feed.

]]> Wed, 22 Jul 2026 00:10:04 -0400 Benjamin Tosado Benjamin Tosado 59 Aviation keeps the world connected. Manufacturing builds it. Distribution moves it. And AI is changing how all three operate: faster, smarter, and with higher stakes than any other industry. Cleared for Takeoff is the podcast for the leaders navigating that transformation. Every episode, we sit down with a senior executive from aviation, manufacturing, or distribution to hear their real AI story: the decisions, the challenges, and the outcomes that matter. Hosted by Ben Tosado, Founder of Deep Blue Cloud. Follow now so the first episode lands in your feed.

]]> AI, Defense, Aviation, Manufacturing, Logistics, Technology, Cloud No