Podcasts about CTO

How did they reduce customer onboarding from 5 days to 7 minutes? Today, we're talking to Misha Keener, CTO at Flowable. We discuss why orchestration is more important than automation, how context engineering beats prompt engineering in agentic AI, and why enterprise readiness will separate winners from losers in 2025. All of this right here, right now, on the Modern CTO Podcast!  To learn more about Flowable, check out their website here.

Solar is finally getting smarter. And faster - thanks to…robots?Recorded live at RE+ 2025, this episode takes you behind the scenes of solar's most advanced innovations — from automation in engineering to AI-driven O&M and digital twins. Hosts Amy Norstedt and Josh Beck sit down with some of the Industry's most forward-thinking executives to talk real-time transformation across the project lifecycle.Featured in this episode:Tyler Nelson, CEO at Revamp's outlines how their new software suite (proven on >15% of all new solar built in the US last year!) is facilitating faster project executionMatt Campbell, CEO of Terabase, shares that on-site solar robotics is real, and finally, it's here,Derek Chase, CEO of OnSight Technologies (Now part of Nextpower) revelas how robotic/ai site inspection is a gamechanger for asset management, and finallyHugh Scott, CTO at Flexgen covers how battery dispatch control is smoothing the grid and making assets more reliableExpect to learn:

As AI-powered tools flood the market promising quick evaluations and audits, the conversation zeroes in on a critical issue: the reliability of these tools. In this episode, co-hosts Therese Fessenden and NN/G VP Kate Moran sit down with Jamie Holst and Christian Holst, the co-founders of Baymard Institute, to examine the growing role of AI in UX analysis. The group discusses the risks of over-relying on AI—particularly for junior UX practitioners—and the deeper implications for professionalism in the field.About the speakers:Christian Holst (Co-founder & Research Director, Baymard Institute)Jamie Holst (Co-founder & CTO, Baymard Institute)Kate Moran (VP, NN/G)Links Referenced in the Episode:Try UX Ray for Free: https://baymard.com/product/ux-rayRead their article on AI accuracy: https://baymard.com/blog/ai-heuristic-evaluationsRelated NN/G Courses:Accelerating Research with AIAI for Design WorkflowsDesigning AI ExperiencesAI Product StrategyCheck out ALL of our courses at nngroup.com/learningRelated NN/G Articles:AI Hallucinations: What Designers Need to KnowAI-Powered Tools for UX Research: Issues and LimitationsAI as a UX AssistantAI Chatbots Discourage Error Checking

Dave Hersh, co-founder and former CEO of Jive Software, shares the real story behind bootstrapping Jive to $12M in revenue before raising venture capital and scaling aggressively. He explains how fear, comparison, and the pressure to "go big" drove him to abandon his profitable core business and pursue a new upmarket strategy that ultimately cost the company its soul.  After growing to $60 million, Jive eventually went public, but not without internal strain, personal turmoil, and ultimately the realization that the company had drifted away from what made it successful.  Dave discusses how overexpansion, premature scaling, hiring missteps, and market-chasing derail both VC-backed and bootstrapped companies—along with the psychological patterns founders rarely acknowledge.  He shares lessons from his book "Reignition: Transforming Stuck Startups Into Breakout Winners" on why most stuck companies don't need a new strategy—they need a wiser founder who understands their inner operating system and is willing to grow alongside the business. Today Dave coaches founders, writes about the emotional foundations of leadership, and acquires underperforming SaaS companies to "refound" them with more clarity, connection, and human-first strategy. Key Takeaways Founder Psychology Matters — Most stuck companies trace back to subconscious patterns, not strategy failures, and founders must address these to grow. Premature Scaling Kills — Expanding markets or teams too quickly dilutes the core and creates complexity most companies cannot absorb. Core Before Expansion — Winning in a beachhead and protecting the core creates more durable growth than chasing adjacent market too early. Better Growth Pace — Sustainable companies grow at the pace the market allows; forced hypergrowth often destabilizes otherwise healthy businesses. Quote from Dave Hersh, Co-founder and Former CEO of Jive Software "I realized that 90% of stuck companies and failed companies are not the reasons that we say they failed. Like they didn't have product market fit or they ran out of cash or the founders didn't get along. It's the psychology underneath. If you actually look at the source of those problems, It was these very consistent psychological patterns that founders run into. "So hero complex, warrior, imposter syndrome, over identification with the company. It was all of these things that I kept seeing over and over again that led to the decisions that got them stuck. And so, yes, while it's true, they got out competed. Why did they go after the big market? What led them to do that? Why did they try to compete against these companies they were competing against? "And then you start to tap into what's really going on and you see: They're trying to earn validation. They are trying to get redeemed as an entrepreneur. They're trying to live up to their parents, their older sibling, their peer group. And it was that desire that led to them trying to go after this big market and raising too much money that got them stuck. And so I like to work with the source material, which is, Why did you do that?" Links Dave Hersh on LinkedIn Book by Dave Hersh: Reignition: Transforming Stuck Startups into Breakout Winners Dave Hersh website Podcast Sponsor – Fraction This podcast is sponsored by Fraction. Fraction gives you access to senior US-based engineers and CTOs — without full-time costs or hiring risks. Get 10 to 30 hours per week from vetted and experienced US-based talent. Find your next fractional senior engineer or CTO at fraction.work. You can start with a one-week, risk-free trial to test it out. The Practical Founders Podcast Tune into the Practical Founders Podcast for weekly in-depth interviews with founders who have built valuable software companies without big funding. Subscribe to the Practical Founders Podcast using your favorite podcast app or view on our YouTube channel. Get the weekly Practical Founders newsletter and podcast updates at practicalfounders.com. Practical Founders CEO Peer Groups Be part of a committed and confidential group of practical founders creating valuable software companies without big VC funding.  A Practical Founders Peer Group is a committed and confidential group of founders/CEOs who want to help you succeed on your terms. Each Practical Founders Peer Group is personally curated and moderated by Greg Head.

“Dans beaucoup de boîtes, il y a le mythe du CTO qui est le plus fort et connaît tout.” Vraiment ?

Join Raj Shukla, CTO of SymphonyAI, as he discusses the critical distinction between AI demos and production-ready systems, revealing that enterprises consistently underestimate the "last mile" challenges of authentication, authorization, and data scalability that break POCs when moving to production. Shukla explains how SymphonyAI's vertical AI approach pre-trains models on industry-specific ontologies and knowledge graphs for retail, financial services, industrial manufacturing, and enterprise IT, enabling faster ROI by providing pre-built agents and domain-specific context rather than expecting generic LLMs to solve everything. He addresses the hidden costs that shock CFOs—not LLM inference which has dropped 1000x, but the expensive work of making data and APIs AI-ready through proper governance layers and MCP server implementations, while warning that enterprises overestimate the autonomy achievable in the short term and underestimate the infrastructure work required for real process automation at scale.

In this episode, Matt is joined by Laura Tacho, CTO at DX — one of the leading voices in developer experience research and tooling. Together, they unpack how AI is really affecting software development teams, why developer experience has a “marketing problem,” and why organizational friction — not technology — is the biggest productivity killer.If you've been wondering whether AI is living up to the hype in engineering teams, this conversation will give you the data, the reality, and the leadership takeaways you can act on today.Key Discussion Points[00:48] – What “Developer Experience” Really Means[02:55] – The Real Sources of Developer Friction[03:44] – Core Developer Experience Problems (Pre- and Post-AI)[05:46] – Clarity as a Competitive Advantage[07:25] – The Mistake of “Shit Shielding”[08:18] – How AI Raises the Stakes for Product Thinking[10:00] – The 10x Developer Myth's Real Origin[11:30] – Measuring Developer Experience with the DX Index[14:00] – The Role of Leadership in Removing FrictionResources & Links DX – Research and tools for improving developer experience: https://getdx.com/Developer Experience Index https://getdx.com/dxi-reportingSubscribe to the Product Driven Newsletter: https://productdriven.com/newsletterWhat Smart CTOs Are Doing Differently With Offshore Teams in 2025: https://hirefullscale.com/offshore-hiring-guide

Founders are often seen as superhumans. In this new series, we look at the humans behind the superhuman journey. The thrill of building, the guilt of missing out, the learnings, the failures, and why they still do it and would do it all over again.Arpita is a second-time founder, now building Mysa. Her first startup, Mech Mocha, was acquired by Flipkart. Ananda is the Co-Founder and CTO of Astra Security. They are building in two different spaces, finance and cybersecurity, but the journeys are similar, that of a founder.This is an unfiltered conversation between two founders about what building a company really looks like: the choices they didn't make, the people who bet on them early, and how their identities, relationships, and sense of self changed along the way.This episode is for anyone who is building, thinking of building, or simply curious about what being a founder really feels like.0:00 – Becoming a Founder in 20s05:10 – The odd realities of being a founder young07:51 – Placements we got, but never took10:56 – Learning to ask for help as founders16:39 – The people who bet on you early23:05 – Co-founder dynamics as life partners25:40 – Handling co-founder conflict27:21 – Making it to Forbes 30 Under 3031:54 – How the PM award helped during house-hunting34:10 – Being a Topper is Not Important anymore35:45 – How close should founders be to their teams?37:40 – Why advice hasn't worked much for me39:27 – Getting addicted to the thrill of being a founder41:27 – When a founder's identity becomes tied to their company43:18 – Setting boundaries as founders43:40 – Why I don't share my Instagram with my team44:07 – Realising that your team may not be forever49:10 – Startups are marathons, not sprints50:24 – Why founders need to be humanized53:43 – Living life in the limelight as a founder57:55 – Why work friends often don't exist for founders59:09 – Would you do it all over again?01:01:36 – How family react when one decides to be a founder?01:02:32 – Is it easier the second time as a founder?01:03:27 – Why not knowing was actually a gift-------------India's talent has built the world's tech—now it's time to lead it.This mission goes beyond startups. It's about shifting the center of gravity in global tech to include the brilliance rising from India.What is Neon Fund?We invest in seed and early-stage founders from India and the diaspora building world-class Enterprise AI companies. We bring capital, conviction, and a community that's done it before.Subscribe for real founder stories, investor perspectives, economist breakdowns, and a behind-the-scenes look at how we're doing it all at Neon.-------------Check us out on:Website: https://neon.fund/Instagram: https://www.instagram.com/theneonshoww/LinkedIn: https://www.linkedin.com/company/beneon/Twitter: https://x.com/TheNeonShowwConnect with Siddhartha on:LinkedIn: https://www.linkedin.com/in/siddharthaahluwalia/Twitter: https://x.com/siddharthaa7-------------This video is for informational purposes only. The views expressed are those of the individuals quoted and do not constitute professional advice.Send us a text

David Stifter spent 20 years as head of technology at Colony Capital, managing systems for a $60 billion private equity real estate firm. When a longtime AP specialist retired, the company lost its institutional knowledge for coding complex invoices across thousands of entities and tenant relationships. After a year evaluating RPA, template-based approaches, and early OCR solutions, David recognized that structured historical data—invoices paired with their coding—could train AI models to capture implicit business rules. Five years ago, at 40 with young children, he left his executive role to build PredictAP. The company now processes tens of thousands of invoices monthly for firms including Bridge Investment Group, demonstrating how operational expertise combined with AI can solve problems that pure technology approaches miss. Topics Discussed Identifying AI use cases with structured annotated data and human feedback loops  Moving from CTO buyer to vendor founder and discovering which networks actually convert  Building repeatable sales motion after exhausting warm introductions  Technology adoption barriers in real estate and the domain expertise requirement for vertical SaaS  Hiring sales leadership to scale from founder-led to systematic pipeline generation  Solving complete workflow integration challenges beyond isolated technical problems GTM Lessons For B2B Founders Match technical approach to problem structure, not trend: David identified three critical elements for his AI application: structured annotated data from historical invoice coding, recognizable patterns in implicit business rules, and human review as a feedback mechanism. He notes many founders "try to shove AI, the AI hammer to smash any nail, but they're not always the best use case." Six years ago, before modern LLMs, he used historical invoice-coding pairs as training data—solving the annotation problem that plagued early machine learning. Founders should evaluate whether their problem has the structural characteristics that make a given technology approach viable, rather than applying trending solutions to force market fit. Network quality reveals itself when you need something: David contrasts two early investors: a former acquisitions executive who promised extensive connections but delivered "not a single callback" after leaving their role, versus an asset manager who generated "hundreds" of leads through genuine relationships. The acquisitions person experienced "an existential crisis" realizing "my network was based upon my ability to have a massive checkbook behind me." Founders should recognize that network strength isn't tested until you're asking rather than giving—those who built relationships through consistent helpfulness rather than transactional power will see different response rates when they launch. Architect the founder-led to systematic sales transition: After two years of founder-led sales, David "hit that wall" and brought in Steve Farrell, prioritizing experience scaling from $3-5M to $20M ARR over industry-specific expertise. He notes warm intro calls are "very to the point" while cold outreach "starts hostile or skeptical"—requiring entirely different trust-building approaches. The shift required adding BDRs, AEs, and systematic content generation. Founders should hire sales leadership with specific stage experience before network depletion forces reactive hiring, and expect to rebuild positioning for skeptical buyers who lack pre-existing trust. Integrate solutions into existing workflow infrastructure: David emphasizes the failure mode of optimized point solutions: "They have a perfect solution from the technical problem but it's not going to work for this firm because it's not going to fit into their workflow." He maps the complete experience including integration with existing systems, training requirements, user experience, consistency, and speed. Technical superiority in isolation leads to "problems with adoption and retention." Founders should map every system, process, and stakeholder their solution touches, designing for workflow integration rather than isolated problem-solving. Sequence customer sophistication as you scale beyond innovators: David's initial customers were "leading edge folks" from his technology network who understood AI potential. As PredictAP matured, sales cycles became "much longer" with more conservative firms requiring higher proof thresholds. He learned that "initial sales have to be very successful and you have to have customers that advocate for you" because mainstream buyers need extensive social proof. Founders should recognize that early adopter ICP differs fundamentally from mainstream buyers—what closes innovators (technology potential) differs from what closes pragmatists (proven ROI and references), requiring distinct positioning and sales approaches for each segment. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

GreenLite delivers private construction plan review as an alternative to traditional city permitting processes. After spending six months testing both sides of the construction permitting transaction, the company identified owner-developers as their ICP and built a business model around Florida's privatization legislation—legislation that has now expanded to nine additional states including Texas, Tennessee, and California. In this episode of BUILDERS, we sat down with James Gallagher, CEO and Co-Founder of GreenLite, to explore how his fifth startup leveraged regulatory shifts, rejected workflow software in favor of outcomes, and scaled by targeting chief development officers at enterprise retailers struggling with permitting delays. Topics Discussed: How GreenLite discovered architects were heavy users but wrong customers due to two-part sales dynamics Why owner-developers became the ICP after six months of customer discovery across applicants and agencies The accidental discovery of private plan review through conversations with Fort Worth and Miami-Dade agencies GreenLite's platform combining regulatory permissions, licensed AEC professionals, and AI-augmented software How natural disasters and AEC talent shortages are accelerating privatization legislation nationwide Cold email strategies that converted enterprise retailers by surfacing acute pain points GTM Lessons For B2B Founders: Map two-sided markets to find where purchasing authority and pain intersect: GreenLite pitched a CTO at a major architecture firm who responded positively but said "I just need to talk to my client, my customer." This revealed architects required approval from owner-developers despite being the heaviest product users. James pivoted to owner-developers who "carry the land, carry the construction loans" and feel revenue delays most acutely. The lesson: usage intensity doesn't equal buyer authority. In complex ecosystems, systematically test which party controls budget and feels enough pain to sign contracts independently. Recognize when procurement cycles kill early-stage validation velocity: Cities explicitly told James their "crazy procurement cycles" made early partnership impractical despite genuine interest. State and local education and government sales require specialized expertise and extended timelines that prevent rapid iteration. James chose to prove the model with private sector customers first. For founders: government can be a lucrative eventual market, but unless you have sled sales expertise and 12+ month runway per deal, validate PMF elsewhere first. Capitalize on regulatory tailwinds before markets realize they exist: Only Florida permitted private plan review when GreenLite launched in July 2022. By late 2024, nine states passed enabling legislation driven by natural disaster reconstruction needs and talent shortages in city building departments. James positioned GreenLite to ride this wave rather than selling transformation to resistant agencies. Founders should monitor legislative and regulatory changes in their verticals—new compliance requirements or permissions can suddenly open massive TAMs with minimal incumbent competition. Enterprise cold email converts when you surface non-obvious acute pain: GreenLite cold emailed chief development officers at major retail chains and quick-service restaurants with "Are you missing your openings due to permitting?" The response rate validated that permitting delays—not site selection or construction costs—were a critical path blocker for store rollout velocity. James targeted CDOs rather than real estate or design teams because they own the full development timeline. For enterprise sales: identify the executive accountable for the metric your solution impacts, then lead with how you move that specific number. Validate outcome-based models before building sophisticated workflow tools: GreenLite's customers rejected "another workflow product or system of record" that required API integrations with their ERPs and construction management systems. Instead, they wanted "faster, more predictable, more transparent permits." James built a viable business delivering finished permits through licensed professionals augmented by software, with the AI sophistication coming later. The business was "super viable well before the product was" by early 2023. For founders in industries resistant to software adoption: test whether buyers want tools to operate or outcomes to purchase—outcome-based pricing can achieve PMF faster and command premium willingness-to-pay. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.  Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

MATT WATSON is a 5x founder, seasoned CTO, and current CEO of Full Scale—a software development staffing company with a team of over 300 engineers. Matt is obsessed with building teams that think like owners. Matt's the host of the Product Driven podcast and author of the best-selling book by the same name, written to help engineering leaders stop babysitting and start building teams that lead themselves.After two decades in tech, he's seen what happens when developers are treated like ticket-takers: low morale, wasted effort, and products no one asked for. That's why he's made it his mission to help teams build the opposite—high-trust, high-impact engineering orgs that actually ship what matters.CONTACT DETAILS Company: Full ScaleEmail: spo81rty@gmail.com Website: https://fullscale.io/ Social Media:LinkedIN - https://www.linkedin.com/in/mattwatsonkc/Remember to SUBSCRIBE so you don't miss "Information That You Can Use." Share Just Minding My Business with your family, friends, and colleagues. Engage with us by leaving a review or comment on my Google Business Page. https://g.page/r/CVKSq-IsFaY9EBM/review Your support keeps this podcast going and growing.Visit Just Minding My Business Media™ LLC at https://jmmbmediallc.com/ to learn how we can help you get more visibility on your products and services. 

Interview with Dorothy Creaven and Michael Cordner at AWS re:Invent Dublin-based startup Jentic was the first Irish company to complete the AWS Generative AI Accelerator, which concluded recently at AWS re:Invent in Las Vegas. The company is now focused on building enterprise awareness of its platform, supported by the launch of its AI Readiness Scorecard and its listing on AWS Marketplace. Founded in 2024 by Sean Blanchfield, Michael Cordner, and Dorothy Creaven, Jentic applies middleware and enterprise integration engineering to AI adoption, focusing on how APIs are defined, governed and safely executed by automated and agentic systems. AI adoption with API readiness platform Jentic Jentic operates at the integration layer, working with existing enterprise systems and APIs to make them clearer, more structured and more governable. This allows organisations to connect AI systems to real business infrastructure in a controlled and observable way, without replacing existing platforms or bypassing established security and compliance processes. Built on Enterprise Infrastructure Experience The company's approach is shaped by the founders' backgrounds in building large-scale infrastructure. Blanchfield previously co-founded Demonware, acquired by Activision Blizzard, and PageFair. Cordner co-founded Mindconnex, while Creaven previously led Rent the Runway's Irish operations. Speaking to Irish Tech News at AWS re:Invent, Michael Cordner, CTO of Jentic, said many enterprises are now encountering limits in how their systems were originally built. "We got away with cutting corners for 20 years when we were developing APIs for developers," said Cordner . "But now we're trying to let AI loose on those same APIs, and the standards are much more stringent. Even the most intelligent AI in the world is useless without the right information on how to actually use a system." From Jentic's perspective, the current interest in AI exposes long-standing weaknesses in enterprise integration. Automated systems can reason and decide, but they can only act through APIs. If those interfaces are poorly documented, inconsistently structured or weakly governed, behaviour becomes unpredictable. "We're a business logic and infrastructure layer for AI agents," explains Dorothy Creaven, COO of Jentic. "Software has always been built on APIs, but for AI to connect properly to enterprise systems, there has to be something that can make sense of those APIs and turn them into workflows organisations can rely on." Addressing Enterprise Control and Governance A recurring issue Jentic encounters with enterprise customers is organisational hesitation. Senior leadership often wants progress on AI strategy, while technology and security teams are concerned about control, traceability and risk. "Everyone is afraid to let AI loose in their organisation," Creaven observes. "There's a real concern about what systems might do when nobody is watching, whether actions can be traced, and how failures are handled." To address this, Jentic's platform includes a sandboxed execution environment that mirrors production APIs. This allows organisations to test AI-driven workflows, observe behaviour and understand failure modes before anything is connected to live systems. "We provide an environment that mirrors real APIs, but in a way that's safe," Creaven comments. "You can see exactly what's happening, with auditability and logging, and you can only move forward once you're confident the behaviour is correct." Launch of the AI Readiness Scorecard This approach underpins the launch of Jentic's AI Readiness Scorecard, a free, automated assessment tool introduced at AWS re:Invent. The scorecard evaluates APIs across multiple dimensions, including structure, security, documentation quality and discoverability. According to Jentic, its analysis of more than 1,500 well-known APIs highlights repeated gaps. These include missing authentication details, invalid OpenAPI specifications, i...

What if every AI interaction with a customer built upon the last, instead of starting from scratch every single time, or at least having it feel that way? Agility requires not just reacting quickly to customer needs, but learning continuously from every interaction to anticipate the next one. This means our technology, especially our AI, can't operate with amnesia; it must have a persistent, shared memory. Today, we're going to talk about breaking down the silos between our AI systems. We'll explore a concept that promises to give our AI a persistent memory, allowing different models and platforms to share context and build a truly continuous, intelligent customer experience. To help me discuss this topic, I'd like to welcome, David Funck, Chief Technology Officer at Avaya. About David Funck David Funck is the Chief Technology Officer at Avaya, bringing more than 30 years of experience in enterprise communications, cloud transformation, and contact center innovation. David has held senior technology leadership roles at Edify, Aspect Software, and Alvaria, where he served as CTO and led the transition of legacy platforms to modern, cloud-based architectures. Before becoming CTO at Avaya, David served as the company's Chief Architect, where he was responsible for advancing Avaya's technology strategy and leading the Innovation Incubator and AI/ML initiatives. David joined Avaya through the acquisition of Edify, where he was CTO and played a key role in developing AI-native contact center solutions. David's expertise spans full-stack architecture, multi-cloud deployments across leading hyperscalers, and leading global development teams to deliver enterprise-scale solutions. He is known for driving high-impact product innovation, closing strategic customer contracts, and guiding companies through complex technical transformations., David Funck on LinkedIn: https://www.linkedin.com/in/david-funck Resources Avaya : https://www.avaya.com The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow Catch the future of e-commerce at eTail Palm Springs, Feb 23-26 in Palm Springs, CA. Go here for more details: https://etailwest.wbresearch.com/ Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.showCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company

In this special episode, host Cindi Howson pulls together the most useful, and hard-won, lessons from a year of conversations with Data Chiefs leading the GenAI charge. With generative and agentic AI no longer a side experiment, this episode spotlights five practices early adopters can rely on to move from pilots to profit. Expect straight talk on what to prioritize, how to bring people with you, and how to scale AI with the trust, literacy, and guardrails that make impact stick.Key Moments:Tying AI to Real Dollars with Anand Iyer, Ecolab (02:10): Anand cuts through the GenAI FOMO and brings everything back to a simple survival test: if you can't draw a straight line from an AI initiative to top-line growth or bottom-line savings, it won't last. His lesson is a sharp reminder that “cool” doesn't scale, value does. Leading Through Ambiguity with Karen Stroup, WEX (06:01): Karen names what everyone's feeling: ambiguity is paralyzing. She explains how leaders earn trust by shrinking the unknown into learnable, bite-sized experiments and creating the psychological safety people need to engage instead of resist.Building Practical AI Literacy at Scale with Josh Cunningham, Lloyds Banking Group (12:42):  Josh shares how Lloyds Banking Group makes literacy impactful by meeting people where they are. Rather than one-size-fits-all training, they pair broad fundamentals with role-specific learning so every business unit can build confidence in ways that match their actual work. Scaling Responsible Agentic AI with Noelle Russell, AI Leadership Institute (25:09): Noelle steps in with a practical framework for building agentic systems that don't go rogue. She walks through the POET framework and stresses that responsible AI isn't a final checkpoint. It's something you embed from the first idea to production, with guardrails that protect people and outcomes.Embedding AI Where Work Happens with Ilan Twig, Navan (32:35): Ilan tells a classic early-adopter story: start with a business problem, move fast, and be ruthless about what needs building versus buying. His lesson is that AI wins when it's inside the workflow, supporting decisions at the point of impact rather than living in a separate tool. Don't Let Perfection Stall Progress with Ketan Karkhanis, ThoughtSpot (40:59): Ketan shares a culture gut-check: waiting for perfect metrics, perfect KPIs, or perfect clarity is how progress dies. He argues for visible, trust-building iteration, because in AI, speed to learning beats speed to certainty. Key Quotes:“One thing that people sometimes forget is that at the end of the day, it's all about are we either saving money or making money? And are you able to show that in the bottom line or the top line in a measurable way?” - Anand Iyer“I don't think there's any chief anything officer that should not be considering AI today. I think if you're not considering AI, you are at the risk of being disrupted because you're not going to be learning at the pace with the rest of the industry, and there's someone out there looking for a better way.” - Karen Stroup“It's trying your best to meet people where they are… Finding a way to anchor the [AI] learning to something that's relevant to their day-to-day role is always going to make it land better.” - Josh Cunningham“ When people lose 70% of their trust in you, they just don't buy from you, they don't work for you, they don't talk about you… and your business starts to die. I think that trust component is a human component… and it is underpinning all the other philosophies that I have.” - Noelle Russell“When you asked me about how to educate yourself on AI, I think that companies must make a decision, and quickly, this or that.” - Ilan Twig“ Don't let perfection be the enemy of progress.” - Ketan KarkhanisGuest Bios Anand IyerAnand Iyer is the SVP, Chief Data Officer at Ecolab, where he leads the company's global data and analytics strategy. Based in Mechanicsburg, Pennsylvania, he oversees enterprise data governance, business intelligence, engineering, and advanced analytics to accelerate Ecolab's digital transformation. Since joining in 2018, Anand has held several senior roles, including VP of Enterprise Architecture and VP of Architecture for Commercial Digital Solutions, helping to scale IoT and data-driven platforms across the organization.Karen StroupKaren joined WEX in 2022 as Chief Digital Officer, a newly created role. She brings more than 15 years of experience leading product management, digital, and innovation organizations focused on software as a service offerings, primarily in financial services.Josh CunninghamJosh Cunningham is the Group Head of Data and AI Culture at Lloyds Banking Group, where he leads the Data Culture Pillar—one of five strategic pillars in the Group's data strategy. He is focused on embedding data-driven mindsets across the organization and empowering teams to unlock the full value of data.Noelle RussellNoelle Russell is a multi-award-winning speaker, author, and AI Executive who specializes in transforming businesses through strategic AI adoption. She is a revenue growth + cost optimization expert, 4x Microsoft Responsible AI MVP, and named the #1 Agentic AI Leader in 2025. She has led teams at NPR, Microsoft, IBM, AWS and Amazon Alexa, and is a consistent champion for Data and AI literacy and is the founder of the "I ❤️ AI" Community teaching responsible AI for everyone.Ilan TwigIlan Twig is the co-founder and Chief Technology Officer (CTO) of Navan, the leading modern travel and expense management platform, globally. As CTO, Ilan drives Navan's product development and engineering efforts, leveraging cutting-edge technologies — including AI — to enhance user experience and operational efficiency. Ketan KarkhanisKetan Karkhanis is the CEO of ThoughtSpot, the Agentic Analytics Platform company. Prior to joining the company in September 2024, Ketan was the Executive Vice President and General Manager of Sales Cloud at Salesforce. He returned to Salesforce in March 2022 after his time as the COO of Turvo, an emerging supply-chain collaboration platform.  Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

Send us feedback or episode suggestions.As AI compresses the distance between idea and execution, the abstractions that once made design tools necessary are becoming points of friction. In this conversation, Knapsack leaders Chris Strahl, Evan Lovely, and Robin Cannon make the case that the future of digital production starts in the medium products actually ship in, code. They unpack why design systems are infrastructure, not artifacts, how context becomes the critical input for enterprise AI, and why creating directly in code unlocks faster iteration with higher fidelity. This shift changes who gets to create, how teams work together, and what it means to scale ideas instead of just processes.In this episode, you'll hear about:AI as an enabler of human creativity, not a replacementWhy prototype-first workflows are breaking downHow the Intelligent Product Engine supports real product creationWhat it looks like for designers, developers, and product teams to build, refine, and ship togetherView the transcript of this episode.Check out our upcoming events.If you want to get in touch with the show, ask some questions, or tell us what you think, send us a message over on LinkedIn.GuestEvan Lovely is the co-founder and CTO of KnapsackRobin Cannon is the Head of Product at KnapsackHostChris Strahl is co-founder and CEO of Knapsack, host of @TheDSPod, DnD DM, and occasional river guide. You can find Chris on LinkedIn.SponsorSponsored by Knapsack, the design system platform that brings teams together. Learn more at knapsack.cloud.

In this episode of the Level Up Claims podcast, host Galen Hair welcomes Andrew Hinkelman of Priority-1 Group, former CTO turned leadership coach, to discuss the evolution of effective leadership. With over 25 years in technology and corporate management, Andrew shares insights on how to move beyond systems and processes to focus on what truly drives success: building trust and fostering strong human connections. Highlights: Andrew's career transition from CTO to leadership coach. Overcoming burnout and trusting your team. How shadow cultures can hinder real decision-making. The importance of emotional intelligence in technical leadership. Practical tips for improving team dynamics and communication. Leveraging AI as a tool, not a threat, to leadership. For leaders ready to "level up" their approach, this episode provides actionable strategies to enhance communication, develop stronger relationships, and lead with empathy. Episode Resources Connect with Andrew Hinkelman https://www.pri-1.com Connect with Galen M. Hair https://insuranceclaimhq.com hair@hairshunnarah.com https://levelupclaim.com/

Shahryar Qadri, CTO of OneImaging, joins me to unpack a hard truth about healthcare tech: the goal is not to remove humans, it is to give them more room to be human.We talk about where cost “optimization” actually helps patients, why radiology is a perfect fit for AI but still held back by data access, and how better workflows can improve trust, speed, and outcomes without losing the human touch.OneImaging sits in the radiology benefits space, helping members book imaging in a national network with more transparency and a high touch booking experience, while helping employers cut imaging costs significantly.Key takeaways• The “human touch” in healthcare is not going away, the better play is using tech to increase capacity so caregivers can spend more time being caregivers• Cost optimization is not always about paying less for expertise, it is often about wasting less human time, improving trust, and removing friction around services• Healthcare still runs on outdated plumbing in places you would not expect, including fax based workflows that slow everything down• Radiology is one of the best real world use cases for AI, but the bigger blocker is getting access to imaging data in usable form, not model capability• Your health data is already “there”, but it is not working for you yet. The next wave is tools that scan your longitudinal record and surface what to ask your doctor about, so you can be a stronger advocate for your own careTimestamped highlights• 00:36 What OneImaging actually does, and why “transparent imaging” is more than a pricing story• 02:00 Why healthcare stays personal, and how tech should increase capacity instead of replacing care• 03:36 The real definition of cost optimization, commodity versus service, and where trust matters• 07:01 The surprising reality of imaging ops, why it still feels like 1998, and what gets digitized next• 17:19 AI in radiology is real, but the data access and interoperability gap is the bottleneck• 24:21 Your CDs are full of value, the problem is we do almost nothing with that data todayA line worth replaying“These LLM models are the worst that they'll ever be today. They're only going to get better and better and better.”Call to actionIf this episode sparked a new way of thinking about healthcare tech, follow The Tech Trek on your podcast app, share it with a friend in product or engineering, and connect with me on LinkedIn for more conversations like this.

In this episode of Future Finance, hosts Paul Barnhurst and Glenn Hopper sit down with Ian Wong, co-founder and CEO of Summation, to talk about one of the most frustrating challenges in finance and analytics: getting timely, trustworthy answers to basic business questions. Ian shares the story behind what he calls the “Monday Morning Problem” and explains why finance teams often spend weeks chasing insights that arrive too late to matter. The conversation explores the limits of dashboards, the risks of AI hallucinations in finance, and what decision-grade analytics really means.Ian Wong is the co-founder and CEO of Summation, an AI-powered decision platform built to help enterprise leaders better understand how their businesses are performing. Before Summation, Ian co-founded Opendoor and served as CTO through its journey to going public. He was also Square's first data scientist, where he built early fraud and risk systems. Ian holds degrees in electrical engineering and statistics from Stanford University and brings a rare blend of deep technical expertise and business leadership experience.In this episode, you will discover:What the “Monday Morning Problem” is and why it slows down decision-makingWhy dashboards and ad hoc reports often fail finance leadersThe risks of relying on generic AI tools for financial analysisHow decision-grade analytics differ from conversational AIWhat the coming “query flood” could mean for data infrastructure and costsIan explains how Summation helps finance and operations teams move from manual data stitching to faster, more reliable insights. The discussion also covers AI hype versus reality, why trust matters so much in finance analytics, and how leaders can think more clearly about where AI fits into real business workflows.Join hosts Glenn and Paul as they unravel the complexities of AI in finance.Follow Ian:LinkedIn: https://www.linkedin.com/in/ian-wong/Company: https://www.linkedin.com/company/summation-hq/Follow Glenn:LinkedIn: https://www.linkedin.com/in/gbhopperiiiFollow Paul:LinkedIn - https://www.linkedin.com/in/thefpandaguyFollow QFlow.AI:Website - https://bit.ly/4i1EkjgFuture Finance is sponsored by QFlow.ai, the strategic finance platform solving the toughest part of planning and analysis: B2B revenue. Align sales, marketing, and finance, speed up decision-making, and lock in accountability with QFlow.ai. Stay tuned for a deeper understanding of how AI is shaping the future of finance and what it means for businesses and individuals alike.In Today's Episode:[01:58] – Meet Ian Wong[05:25] – The “Monday Morning Problem”[09:23] – What Empathetic Leadership Really Means[13:15] – How Enterprise Research Really Works[16:34] – The Monday Morning Numbers Meeting[21:25] – A Balance Sheet That Still Doesn't Balance[25:53] – Where AI actually helps finance teams[28:27] – The AI Hype Question of 2025[33:07] – Moving into Personal Questions

Peggy Smedley and Julien Moutte, chief technology officer, Bentley Systems, talk about how the digital twin is evolving—and what is coming in the next five years with the rise of AI (artificial intelligence). He says five years ago when we were talking about digital twins, many people were saying it is still a buzzword, and it is amazing to see what has happened in the past five years. They also discuss: · The importance of data interoperability to achieve smarter infrastructure across the lifecycle of a project. · The convergence of digital twin, BIM (building information modeling), GIS (geographic information systems), and the IoT (Internet of Things). · His approach to fostering a culture of innovation, as a CTO. · Partnerships and acquisitions at the company. https://www.bentley.com/

Faisal Mushtaq is a technology executive, entrepreneur, angel investor, and founder best known as the Founder & CEO of TechCon Global, the organization behind TechCon SoCal — a fast-growing innovation and investment conference in San Diego that connects entrepreneurs, investors, corporates, and tech leaders.He has over 20 years of leadership experience in tech, including senior roles in digital transformation, product scaling, and global R&D for major companies. Before founding TechCon, he served in executive positions such as CTO at Sleep Number Corporation (leading innovation and AI-based platforms) and held leadership roles in cloud, DevOps, and tech strategy for global firms.

By Rajesh Jethwa, CTO at Digiterre, and co-author of Transform!: The 14 Behaviors Driving Successful Digital Transformation in the Age of Gen AI Modern life runs on an intricate network of technologies so familiar we barely notice them. We see the polished surface of digital services, mobile apps and rapid delivery systems, yet beneath these innovations sits something surprisingly fragile. It is a vast ecosystem of legacy software, outdated infrastructure and deeply embedded organisational routines that were built for a different era. This hidden technology, a blend of code, machinery and human workaround, keeps the world functioning. Increasingly, however, it is showing signs of strain. The more advanced society becomes, the more vulnerable it becomes to failures within this buried architecture. When modern systems falter, the effects can cascade instantly. The British Airways disruption in 2024 made this clear. A single technical fault led to widespread delays and cancellations, stranding thousands of travellers and exposing how dependent airline operations are on tightly meshed systems. Although air travel appears smooth from the outside, its core relies on a patchwork of old and new platforms. When just one piece collapses, everything stalls. Transform, Behaviors Driving Digital Transformation The global CrowdStrike outage offered an even more dramatic demonstration. A flawed update to widely used security software caused computers around the world to crash or lock into endless reboot cycles. Airports, hospitals and corporations all felt the impact. This incident revealed how deeply embedded certain tools have become and how a single error in one system can ripple across continents within minutes. Another example is the UK Post Office Horizon scandal, where faults in an accounting system resulted in wrongful accusations against hundreds of postmasters. This was not only a technology failure but also a failure of change. An organisation that had become overly dependent on a single system assumed that any discrepancy must be human error. When technology becomes unquestionable, it gains authority that can override evidence and experience, with devastating consequences. These events highlight a broader truth. Large scale digital transformation efforts often fail. Studies regularly suggest that between 60 and 70 per cent of such initiatives do not achieve their intended outcomes. Organisations underestimate the complexity of changing systems that underpin everyday operations. They invest in new software without addressing the outdated processes, cultural assumptions and decision making structures that surround it. Technology cannot succeed if it is layered on top of old thinking. High stakes systems are difficult to change because they have become intertwined with human behaviour. Employees develop tacit knowledge that compensates for the shortcomings of old tools. This invisible layer of human patchwork allows outdated systems to survive far longer than they should. The paradox is that these systems seem stable precisely because people are constantly rescuing them. But such arrangements cannot last. As expectations for speed, transparency and security grow, the legacy architecture becomes a bottleneck. Reinvention becomes essential for resilience. The path forward begins with recognising that technology is only one part of the equation. True digital transformation requires rethinking how work flows, how decisions are made and how people collaborate. Organisations need clarity about the purpose their systems must serve today, not the assumptions they inherited from the past. Simplifying processes before upgrading tools reduces complexity and ensures that new technology is not forced to replicate outdated practice. Reinvention also depends on small, continuous experiments rather than large, inflexible programmes. Pilot projects, prototypes and iterative learning build adaptability. They help organisations respond to uncertain...

Your next security teammate might not be a traditional hire — it could be a Digital Security Teammate (DST),” says Secure.com CEO Uzair Gadit. In this sponsored episode, Uzair explains the concept of a DST and how it differs from an AI SOC. He highlights the operational and business benefits of deploying DST, including improved... Read more »

Your next security teammate might not be a traditional hire — it could be a Digital Security Teammate (DST),” says Secure.com CEO Uzair Gadit. In this sponsored episode, Uzair explains the concept of a DST and how it differs from an AI SOC. He highlights the operational and business benefits of deploying DST, including improved... Read more »

Pablos is a legendary hacker, inventor, and deep‑tech investor who helped launch Blue Origin and co‑founded Intellectual Ventures Lab with Microsoft's first CTO. He explains what responsible hacking means and explores how deep tech and AI can deliver transformative breakthroughs for the future.-This podcast/webcast is provided for informational purposes only and should not be considered legal, tax, investment, or business advice. It is not a solicitation, recommendation, or endorsement. All opinions expressed by participants are their own and do not necessarily reflect the views of the Evoke Advisors Division of MAI Capital Management, LLC ("Evoke”), its affiliates, or any companies mentioned. Information shared has not been independently verified by MAI or its affiliates. MAI Capital Management, LLC (“MAI”) is registered with the U.S. Securities and Exchange Commission ("SEC"), which does not imply any particular level of skill or training.The content is intended for a general audience and does not constitute a recommendation to buy or sell securities or adopt any investment strategy. Any examples or scenarios discussed are illustrative only, involve risks and uncertainties, and do not guarantee future results. Non-traditional assets carry significant risks and may not be suitable for all investors. Decisions should be based on individual objectives, risk tolerance, and circumstances.Statements herein are general and may not reflect an individual's or entity's specific circumstances or applicable laws, which vary by jurisdiction. Further, speakers' views are personal and may differ from Evoke and MAI recommendations and are not specific investment advice; and do not consider client objectives, risk tolerance, and diversification. Guests may have current or past relationships with Evoke and MAI, its affiliates, or the host, including as clients, service providers, or business partners. Participation does not constitute an endorsement or testimonial. No compensation has been paid or received for guest participation unless disclosed. MAI and its affiliates may have business relationships with entities mentioned in this podcast, which could create potential conflicts of interest. These relationships may include advisory services, investment management, or other arrangements. MAI seeks to manage such conflicts consistent with its fiduciary obligations and policies.(As of December 7, 2025)

What do smartphones, EVs, humanoid robots and smart homes have in common? Tiny chips that make big things happen. In this episode, host Melissa Harrison chats with Dr. Ahmad Bahai, CTO of Texas Instruments, about the hidden tech driving AI, edge computing and sustainable power solutions. From solving EV charging anxiety to enabling collaborative robots and medical-grade wearables, discover how semiconductors are shaping the way we move, live and work.

In this episode, we explore the frontiers of multimodal AI with Richard Whitcomb, CTO of Osmo, a company pioneering AI technology that understands and generates scents.Richard, a former engineer at Twitter, Spotify, and Nvidia, delves into the intricacies of teaching machines to smell, explaining the challenges and breakthroughs in digitizing smell and chemical sensing.From designing personalized fragrances and mosquito repellents to detecting counterfeit items and diseases, Osmo's advancements promise a fascinating future where AI seamlessly integrates with our physical and chemical world.The discussion also highlights potential applications in robotics, health, and daily life, envisioning a platform where sensors can identify and recreate smells easily.--Key Moments:00:56 The Journey to Digitizing Smell03:15 Challenges in Teaching AI to Smell06:13 Generative AI and Fragrance Creation08:34 Osmo Studio: Custom Fragrance Creation12:34 Beyond Fragrances: Mosquito Repellent and More16:17 Counterfeit Detection Using Scent18:49 Future Applications and Vision--Key Links:OsmoConnect with Richard on LinkedInMentioned in this episode:AI Opportunity FinderFeeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you'll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action.

Of course you care about the team, but sometimes we let that care get in our way. We confuse caring for them with coddling and overprotection, which results in teams that happily and calmly go on their merry paths for mediocrity (or worse). More in this week's podcast!Grab a copy of my books, Capitalizing Your Technology and  The Tech Executive Operating System.Subscribe to the best newsletter for tech executives.For any questions or comments, reach out to me directly: aviv@avivbenyosef.com

Eric Bowman (CTO @ King.com, previously CTO at TomTom and VP Engineering at Zalando) returns to the alphalist podcast to unpack what “agentic engineering” really means in practice—and how to introduce it to teams without turning it into a mandate. We talk about the uncomfortable trade-offs behind “YOLO mode” tooling, why adoption should feel voluntary even when you set explicit goals (like “five AI-assisted commits” as a company-level key result), and why the real opportunity isn't just faster coding—it's building a learning system that relentlessly reduces time-to-learning and time-to-value. The conversation spans practical rollout patterns, DORA/value-stream thinking, Toyota's Andon-cord mindset applied to software, multi-agent decision support with MCP, and why the CTO role may keep converging with product as AI pushes organizations to optimize for iteration speed over output volume.

这一期，我想和你聊聊一个很多人心里都有、却又不好意思问出口的问题：**「我想做 AI 创业，但真的不知道怎么开始。」**从非技术背景要不要学编程，到两个人的小团队怎么活下来，再到「行业不性感还有没有机会」，我们会用很现实的视角，把这些问题摊开聊聊。在这一期节目中，你听到的声音来自 AI，但内容全部由我亲自撰写。这篇文字最初发布在我的 Newsletter《Bear 学习派》中，可以在 https://bear.academy 网站订阅查看。 在节目里，你会听到：为什么我认为**先自己拼一个 demo 出来，比一开始就寻找 CTO 更重要**；在每天只有 2～3 小时可用时间的前提下，小团队要如何梳理资源、学会「只做最有价值的事」；以及，为什么你脚下这片看似普通的行业土壤，可能就是你最独特、也最难被复制的 AI 护城河。我们也会聊到：如何用更尊重工匠的方式，去和程序员、技术合伙人合作；为什么很多厉害的技术同伴，并不被「宏大愿景」打动，而是更在意你能不能拿出清晰的图纸、真实的用户反馈，以及一个已经在转动的小轮子。如果你正在犹豫要不要迈出第一步，希望这一期能给你一些更踏实的参考——让你不必再纠结「要不要开始」，而是更清楚「可以从哪儿开始」。如果你想看这一期的文字版、相关提到的文章和视频链接，可以在我的 Newsletter「Bear Academy」里找到本期完整整理，详见文字版 Newsletter。---**本期提到的资源：**- 心理平衡相关内容：关于在高压、信息过载时代，用 5 个不花钱的小习惯找回节奏（链接见本期 Newsletter 文字版）- 英语表达与赞美的文章：从「学语言」到「学如何真诚地说谢谢」的实战心得（链接见本期 Newsletter 文字版）- 设计与转化率文章：用心理学和格式塔原理提升产品转化的设计策略总结（链接见本期 Newsletter 文字版）- AI 淘金热视频：讨论「AI 不是终点，而是杠杆」的思考与实用建议（链接见本期 Newsletter 文字版）Support this podcast at — https://redcircle.com/beartalk/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

This is our final episode of the year, and we're ending it with the kind of conversation AEC needs more of.In this episode of KP Unpacked, KP sits down with Dr. Barry Clark (CTO) to connect the dots from “physical startups” (robots sewing denim) to what comes next: robots + humans coexisting on jobsites, AI-driven motion control, and a coming wave of materials + manufacturing innovation that could reshape how we design and build.If you're a founder, operator, or AEC leader wondering what's real vs. vaporware, this one will sharpen your lens.If you truly meant “last podcast of 2035,” just swap the year, but “final episode of the year” keeps it accurate either way.Key topics coveredFrom robotics in apparel to robotics in construction: why “physical startups” are backWhy construction is the hardest automation environment (unstructured, bespoke, constant pivots)AI's impact on robotics: from brittle logic to learning systems that handle “unknown unknowns”Digital twins + simulation: getting cheaper, more practical, closer to daily useKP's thesis: a materials renaissance for AEC—and the real bottleneck (commercial scale)What “motion control” actually means (path planning + actuator control)The missing layer: orchestration across people + robots on live jobsitesA hard truth: project tools often become archives, not systems that drive behaviorGuest bio  Dr. Barry Clark is KPR's CTO with a background in mechanical engineering, optimal control, computer vision, and automation, spanning robotics startups and large-scale automated assembly (including server assembly and software-defined manufacturing).Turn your 2026 plan into real Q1 momentum.Join KP Reddy and a small room of AEC leaders on January 13 in the SF Bay Area for the first KPR Quarterly, where strategy meets execution in the first 90 days. 

Join Chris Corrado, CEO Americas and President at Squirro, in an in-depth conversation with Gary Fowler as they explore one of the most urgent challenges in AI today: trust. Discover how enterprises can deploy generative and agentic AI responsibly, securely, and at scale while maintaining transparency and protecting business integrity.

I came up with this funny phrase in a couples session and told the couple it was too good not to use in a podcast! :) Some women feel like the CEO of the home, and they are okay with that, as long as the man acts like the COO or the CTO or anything but the CFO.... The Chief Fucking Officer. If all that your wife feels that you spearhead in the home is related to your spearhead, this isn't going to make her, another three letter acronym... DTF.Join the Midlife Women's group here: ⁠⁠⁠⁠⁠⁠⁠⁠drpsychmom.com/mwg⁠⁠⁠⁠⁠⁠⁠⁠Subscribe if you love the DPM show! ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://creators.spotify.com/pod/show/drpsychmomshow/subscribe⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and you'll get all my awesome bonus episodes! Most recent: "Did You Change Each Other's Minds About Anything When Dating? If Not, Red Flag!"For my secret Facebook group, the "best money I've ever spent" according to numerous members: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.facebook.com/groups/drpsychmom⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠For coaching from DPM, visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.drpsychmom.com/coaching/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠For therapy or coaching, contact us at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.bestlifebehavioralhealth.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

IonQ Vice President and GM of Quantum Platform Matthew Keesan joins BioTalk for a clear look at how they are advancing quantum computing from its home base in the BioHealth Capital Region. He shares the story of IonQ's Maryland roots and explains quantum computing in straightforward terms for listeners seeking a high-level understanding. The conversation moves into why biohealth leaders should track the hardware race, what distinguishes IonQ's approach, and how quantum is already being paired with AI to strengthen modeling and analysis. Keesan walks through early use cases showing traction today, challenges common myths about timelines, and shares which biohealth applications he expects to gain mainstream momentum by 2030. Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com). Matthew Keesan is Vice President and GM of Quantum Platform at IonQ and a member of the BHI Board. He joined IonQ in 2017 to lead the development of the company's Quantum OS, the software stack that controls IonQ's quantum computers. In 2021, he oversaw the launch of IonQ's Harmony systems on Amazon Braket, Microsoft Azure Quantum, and Google Cloud, making IonQ the first quantum hardware provider available across all three hyperscalers. He built IonQ's security function to meet commercial and government frameworks, including SOC 2, NIST 800-171, NIST 800-53, and ISO 27001, and established a globally distributed operations team managing IonQ's fleet of quantum computers across the United States and Europe. Before joining IonQ, Keesan served as CTO of the restaurant technology company Ando, which was acquired by Uber, and advised startups in manufacturing, e-commerce, and identity-as-a-service. He also helped create the technology behind the interactive HBO series Mosaic with Steven Soderbergh. He holds patents in quantum compilation, hybrid quantum computation, and quantum control automation, and has co-authored papers published in Nature and Physical Review A.

In this episode, we're sharing a recording of a live coaching call with one of our clients, Ben, CTO & Co-Founder at Ertigo, a company behind a portfolio of yoga and flexibility apps.Ben's already nailed the basics of ASO and early user acquisition, but now he's ready to take things to the next level, scaling efficiently, building a long-term growth roadmap, and choosing the right tools for sustainable success.Together with Steve P. Young, they break down the ideal mobile app growth framework, the difference between growing a single app vs. an entire portfolio, and what every founder should do before investing heavily in paid channels.You will discover:✅ The ideal app growth framework, when to move from ASO → ASA → Meta/TikTok✅ How portfolio growth differs from scaling a single app✅ How to set up your social media channels to fuel app installs✅ The truth about MMP tools, Adjust vs. AppsFlyer, and which one fits your stage✅ The #1 mistake founders make when transitioning to paid marketingLearn More:Check out:https://apps.apple.com/id/app/chair-yoga-for-seniors-sitfit/id6741904178 Connect with Ben:https://www.linkedin.com/in/boonya-kitpitak/You can also watch this video here: https://www.youtube.com/live/2QNlnFOaOtYWant expert guidance to grow your app? Book a quick call with App Masters:https://appmasters.com/contact-us/Get training, coaching, and community: https://appmasters.com/academy/*********************************************SPONSORSYou don't need a big team or budget to succeed in ASO.ASOMobile helps you find the best keywords, track your rankings, and see what competitors are doing — all in one simple platform.And if you want to keep growing, use the promo code APPMASTERS40 to get 40% off any plan, for any period at http://bit.ly/49y6rEP*********************************************Launch a high-performing branded Web Shop in minutes—or build a fully custom storefront without the hassle.Xsolla's modular solution reduces platform fees, supports 1,000+ global payment methods, and ships with built-in LiveOps and customization tools—so every purchase puts more revenue back in your studio's pocket.Check out now: https://tinyurl.com/43hda5tf*********************************************Follow us:YouTube: ⁠AppMasters.com/YouTube⁠Instagram: ⁠@App MastersTwitter: ⁠@App MastersTikTok: ⁠@stevepyoung⁠Facebook: ⁠App Masters⁠*********************************************

In this episode of The Trader's Journey, Anthony sits down with Dave Mabe – computer scientist, trader, and former CTO of Trade Ideas – to unpack how backtesting and automation can transform a "good idea" into a rules-based, data-backed trading system. Dave shares his path from journaling trades and thinking like an engineer, to running formal backtests, stress-testing strategies, and eventually automating execution. Whether you're a discretionary trader curious about data, or already running systems and looking to avoid curve-fitting disasters, this episode gives you a blueprint for turning ideas into robust strategies.

An elegant study in post-TAVI atrioventricular block, a PSA for my structural colleagues, revascularization in women, and a CTO PCI trial are the topics John Mandrola, MD, discusses in this week's podcast. This podcast is intended for healthcare professionals only. To read a partial transcript or to comment, visit: https://www.medscape.com/twic I AV Block After TAVR Heart Blocks During vs After TAVR Show Distinct Patterns https://www.medscape.com/viewarticle/heart-blocks-during-vs-after-tavr-show-distinct-patterns-2025a1000ypp Mechanisms Underlying Alterations in Cardiac Conduction After TAVR https://jamanetwork.com/journals/jamacardiology/fullarticle/2842748 II Related PSA Announcement to My Structural Colleagues III Revascularization Strategies in Women with Severe Chronic CAD Women With Chronic Severe CAD Fare Better With CABG vs PCI https://www.medscape.com/viewarticle/women-chronic-severe-cad-fare-better-cabg-vs-pci-2025a1000ygd PCI vs CABG in Women With Chronic CAD https://doi.org/10.1093/eurheartj/ehaf806 PCI vs CABG - Meta-Analysis of 4 RCTs https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(21)02334-5/abstract CABG vs Drug-Eluting Stent Implantation for CAD - Meta-Analysis https://www.jacc.org/doi/10.1016/j.jcin.2016.10.008 RECHARGE trial https://therechargetrial.com/ IV A CTO PCI RCT – But don't get your hopes up Early vs Late-Staged PCI After Subintimal Tracking and Re-entry for CTO https://doi.org/10.1016/j.jacc.2025.09.1598 DECISION CTO trial https://pubmed.ncbi.nlm.nih.gov/30813758/ National Inpatient Sample Database PCI CTO Associated With Higher Mortality https://pubmed.ncbi.nlm.nih.gov/37356643/ V Mandrola's Top 10 Stories You may also like: The Bob Harrington Show with the Stephen and Suzanne Weiss Dean of Weill Cornell Medicine, Robert A. Harrington, MD. https://www.medscape.com/author/bob-harrington Questions or feedback, please contact news@medscape.net

Jim sits down with Sean Luke (Partner at SPMB Executive Search) to talk about the art of hiring senior engineering and product leaders—especially now that every job description on Earth has "AI" duct-taped to it. We get into why sticking with one great search firm beats "random recruiter roulette," why tech interviewing is tough (spoiler: engineers aren't always born interviewers), and the eternal tension between the two key roles - CTO (big brain science/vision) and VP Engineering (keep the trains running, preferably on the tracks). Then it's on to the AI gold rush: what a normal Head of Engineering should actually be doing with AI (hint: practical stuff like code review, QA, automation), why "Head of AI" is usually a totally separate job, and why "10 years of LLM experience" belongs in the same bin as Web3 buzzword soup. We also cover who's moving jobs right now, why PE can feel like a saner bet than venture (less "moonshot," more "actual exit"), and what candidates must be able to explain: what you did, and how it moved the business—numbers included. Plus: a few recruiting war stories, including the kind you can't make up and the kind that makes you grateful for a boring Tuesday.

In this sponsored Soap Box edition of the Risky Business podcast, Patrick Gray chats with Jared Atkinson, CTO of SpecterOps, about BloodHound OpenGraph. OpenGraph enumerates attack paths across platforms and services, not just your primary directories. A compromised GitHub account to on-prem AD compromise attack path? It's a thing, and OpenGraph will find it. Cross-platform attack path enumeration! So good! This episode is also available on Youtube. Show notes

This episode recorded live at the 10th Annual Health IT + Digital Health + RCM Annual Meeting features Dr. Tim Calahan, CTO, Michigan Medicine. Here, he discusses how his organization is using AI, virtual care, and digital health tools to enhance clinical workflows and patient care. He also shares strategies for governance, operational planning, and staying focused on key technology initiatives while adapting to changing legislation and rising demands in healthcare.

From applied cryptography and offensive security in France's defense industry to optimizing nuclear submarine workflows, then selling his e-signature startup to Docusign (https://www.docusign.com/company/news-center/opentrust-joins-docusign-global-trust-network and now running AI as CTO of Superhuman Mail (Superhuman, recently acquired by Grammarly https://techcrunch.com/2025/07/01/grammarly-acquires-ai-email-client-superhuman/), Loïc Houssier has lived the full arc from deep infra and compliance hell to obsessing over 100ms product experiences and AI-native email. We sat down with Loïc to dig into how you actually put AI into an inbox without adding latency, why Superhuman leans so hard into agentic search and “Ask AI” over your entire email history, how they design tools vs. agents and fight agent laziness, what box-priced inference and local-first caching mean for cost and reliability, and his bet that your inbox will power your future AI EA while AI massively widens the gap between engineers with real fundamentals and those faking it. We discuss: Loïc's path from applied cryptography and offensive security in France's defense industry to submarines, e-signatures, Docusign, and now Superhuman Mail What 3,000+ engineers actually do at a “simple” product like Docusign: regional compliance, on-prem appliances, and why global scale explodes complexity How Superhuman thinks about AI in email: auto-labels, smart summaries, follow-up nudges, “Ask AI” search, and the rule that AI must never add latency or friction Superhuman's agentic framework: tools vs. agents, fighting “agent laziness,” deep semantic search over huge inboxes, and pagination strategies to find the real needle in the haystack How they evaluate OpenAI, Anthropic, Gemini, and open models: canonical queries, end-to-end evals, date reasoning, and Rahul's infamous “what wood was my table?” test Infra and cost philosophy: local-first caching, vector search backends, Baseten “box” pricing vs. per-token pricing, and thinking in price-per-trillion-tokens instead of price-per-million The vision of Superhuman as your AI EA: auto-drafting replies in your voice, scheduling on your behalf, and using your inbox as the ultimate private data source How the Grammarly + Coda + Superhuman stack could power truly context-aware assistance across email, docs, calendars, contracts, and more Inside Superhuman's AI-dev culture: free-for-all tool adoption, tracking AI usage on PRs, and going from ~4 to ~6 PRs per engineer per week Why Loïc believes everyone should still learn to code, and how AI will amplify great engineers with strong fundamentals while exposing shallow ones even faster — Loïc Houssier LinkedIn: https://www.linkedin.com/in/houssier/ Where to find Latent Space X: https://x.com/latentspacepod Substack: https://www.latent.space/ Chapters 00:00:00 Introduction and Loïc's Journey from Nuclear Submarines to Superhuman 00:06:40 Docusign Acquisition and the Enterprise Email Stack 00:10:26 Superhuman's AI Vision: Your Inbox as the Real AI Agent 00:13:20 Ask AI: Agentic Search and the Quality Problem 00:18:20 Infrastructure Choices: Model Selection, Base10, and Cost Management 00:27:30 Local-First Architecture and the Database Stack 00:30:50 Evals, Quality, and the Rahul Wood Table Test 00:42:30 The Future EA: Auto-Drafting and Proactive Assistance 00:46:40 Grammarly Acquisition and the Contextual Advantage 00:38:40 Voice, Video, and the End of Writing 00:51:40 Knowledge Graphs: The Hard Problem Nobody Has Solved 00:56:40 Competing with OpenAI and the Browser Question 01:02:30 AI Coding Tools: From 4 to 6 PRs Per Week 01:08:00 Engineering Culture, Hiring, and the Future of Software Development

Ken Ringdahl, CTO at Emburse, joins The Tech Trek to share what it really looks like to grow from engineer to CTO without losing your love for building. He talks about staying close to the code while leading a three hundred person org, how he learned the business side on the job instead of through an MBA, and why curiosity is still his strongest tool. If you are an engineer who cares about leadership, AI, and long term impact, this one will hit close to home. the-tech-trek_copy-of-ken-ringd…Key takeawaysThe best engineering leaders stay technical for as long as they can, then pick their spots to lean in where the business needs them most.You can learn the business side on the job by raising your hand for cross functional work and building real relationships with sales, finance, and product leaders.Curiosity is a career advantage, both in technology and in leadership, because the quality of your questions shapes the quality of your decisions.A practical AI strategy comes from listening to customers, partners, and internal experts, then translating that into focused product bets instead of chasing shiny tools.Do not rush into management just for the title, a deep foundation as an engineer will make every future leadership decision stronger.Timestamped highlights00:38 Ken explains what Emburse does and how modern spend management lives at the intersection of software, data, and finance. the-tech-trek_copy-of-ken-ringd…01:30 How he balances being an engineer at heart with the reality of leading many teams and products as CTO.03:41 Ken reflects on missing his coding days, what he still tinkers with, and why he chose the bridge role between tech and business.08:32 Learning leadership without an MBA, creating your own opportunities, and attaching yourself to people you can learn from across the company.14:58 How he stays smart on AI through office hours, internal experts, cloud partners, customers, and investor networks.21:22 His biggest advice for engineers who want to move into leadership and why he actually went back to a more hands on role before moving up again.One line that stayed with me“Even if you want to be a leader, do not rush it. Do not go so fast that you do not get that foundation.” the-tech-trek_copy-of-ken-ringd…Practical moves for your own careerStay technical as long as you can, then choose a few focus areas such as architecture, AI strategy, or cloud patterns where you can still go deep.Use curiosity as your main tool, ask simple but sharp questions of finance, sales, and customers so you see how technology really creates value.Look for chances to run cross functional projects early in your career so that by the time you step into leadership, you already understand how the wider business works.Treat partners, customers, and internal experts as an extended brain trust, especially when you are trying to shape an AI and platform strategy.Listen and stay connectedIf this episode helped you think differently about your own path from engineer to leader, follow The Tech Trek, leave a rating on your favorite podcast app, and share it with one person on your team. To keep the conversation going, connect with Ken on LinkedIn and find me there as well for more stories from leaders who are building real impact with technology.

In this episode, Aydin sits down with Paul Xue, a self-described “vibe marketer” and former 3x CTO who now runs an AI-native Reddit growth agency. Paul explains why he believes any assumption you made about AI even three months ago is probably wrong today, and how that realization pushed him to pivot away from writing code as a long-term career.He walks through how his team ships production software where ~100% of the code is AI-generated, why 80% of the work now lives in planning and system design, and how new models like Claude Opus 4.5 and Gemini 3 let him literally “go for a walk” while his tools implement features. Along the way, Paul shares real numbers (two years of work vs 10–15 hours), what this means for agencies and devs, how he hires in an AI-native world, and gives a behind-the-scenes tour of the multi-agent workflows powering his Reddit content engine.Timestamps0:00 – Introduction1:01 – What a “vibe marketer” is and why Reddit is a power channel in the LLM era3:01 – From 3x CTO to Reddit-first entrepreneur: deciding coding isn't future-proof4:06 – GPT-3.5 + end of zero interest rates: when dev agency contracts fell off a cliff6:28 – Adoption curves: senior devs who still don't use AI and why personality matters7:57 – Running an AI-native shop where ~100% of production code is AI-generated9:48 – Two years vs 10–15 hours: Paul's personal 10x story on shipping an MVP12:04 – New development workflow: “plan mode” and spending 80% of time on specs18:17 – Claude Opus 4.5, Gemini 3, and “going for a walk” while AI finishes features23:30 – How $60K–$250K apps turn into weekend side projects with vibe coding tools27:12 – Hiring in the AI era: why pure “ticket-taking” devs won't survive35:12 – Inside an AI-native Reddit engine: n8n workflows, agents, Pinecone & OpenRouterTools & Technologies MentionedReddit – Primary growth and content channel; a highly trusted source for LLM training and citations.ChatGPT / GPT-3.5 – Early model that triggered Paul's realization that traditional coding careers would change.Claude 3.5 Sonnet & Claude 3.5 Opus / Opus 4.5 – Anthropic models Paul uses for long-running coding, planning, and browser automation.Gemini 3 – Google model Paul uses to quickly generate solid, familiar SaaS-style UI/UX ideas.Cursor – AI-native code editor that turns detailed “plans” into production code with one click.n8n – Automation platform that powers Paul's multi-step AI workflows for content creation and evaluation.Pinecone – Vector database storing each client's knowledge base for highly relevant Reddit responses.OpenRouter – Routing layer that lets Paul easily swap and test different language models over time.MCP (Model Context Protocol) – Framework he uses to give agents tool access (e.g., scraping Reddit, reading DBs).Notion – Fast prototyping environment to validate data models and workflows before writing custom code.Zapier – General automation glue in the earliest workflow experiments.Figma – Design tool, now increasingly AI-assisted, for UI/UX mockups.SpecCode – Tool Paul cites for vibe coding HIPAA-compliant applications.Anything – Mobile-focused “vibe coding” platform for building iOS/Android apps on your phone.Fellow – AI meeting assistant that joins meetings, produces summaries/action items, and acts as an AI chief of staff.Subscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

Welcome to the Cloud Wars Minute — your daily cloud news and commentary show. Each episode provides insights and perspectives around the “reimagination machine” that is the cloud.In today's Cloud Wars Minute, I discuss why culture, mindset, and leadership matter just as much as technology in driving AI transformation, based off my conversation with Will Grannis, CTO, Google Cloud. Highlights00:30 — Will has been the Chief Technology Officer at Google Cloud, one of the world's most advanced technology companies, for almost a decade. So Will's perspectives on things are pretty powerful, especially in this notion of how corporations unlock the power of AI to drive great outcomes for those companies and their customers or their patients or their stakeholders.01:10 — One of the first things that Will talked about is the big AI unlock. He said you've got to start with thinking about putting the customer at the center of everything, and then build back, build out from there. So reverse-engineer what has to change inside the organization to ensure that the customer outcomes, the customer experience, the customer value, are at the center.AI Agent & Copilot Summit is an AI-first event to define opportunities, impact, and outcomes with Microsoft Copilot and agents. Building on its 2025 success, the 2026 event takes place March 17-19 in San Diego. Get more details. 02:27 — He talked a lot about the mindset. One customer example was recently BNY Mellon. BNY Mellon has added Gemini Enterprise for its Eliza AI platform, and that is being used now. The Chief Data and AI Officer at BNY Mellon said our AI strategy in the company is simple. He said it's AI for everyone, AI everywhere, and AI for everything.03:19 — He said this is something that's enabled them now to do more things for their customers. It allows their internal people to be much more productive, be more expansive in their analysis, so that they can provide greater value to their customers. Will said it's been a huge change at the company.04:06 — So again, I hope you have a chance to check out the whole interview with Will Grannis, the Chief Technology Officer at Google Cloud. You can see it in the links here. Will's a terrific guy. One of the things you'll see here is he offers some pretty honest and candid assessments about challenges he himself has faced as the CTO at Google Cloud, and very candidly explains how he got around those. Visit Cloud Wars for more.

Bob Evans sits down with Will Grannis, Chief Technology Officer at Google Cloud, to unpack how AI is reshaping both technology stacks and corporate culture. They explore Google Cloud's Gemini Enterprise platform, the newly upgraded Gemini 3 models, and the rise of agentic AI. Along the way, Will shares customer stories from industries like finance, healthcare, retail, and travel, and even talks about how his own team had to change its habits to benefit from AI.Inside Google Cloud's Agentic AI The Big Themes:Models vs. Platforms in the AI Stack: Grannis draws a sharp distinction between AI models like Gemini and the broader platforms that operationalize them. Models determine how intelligent and capable AI workflows are “out of the box,” across tasks like reasoning, multimodal understanding, and conversation. Platforms, by contrast, are how a business injects its own data, processes, and rules to build differentiated IP, brand experiences, and competitive moats. In practice, that means thinking beyond a single chatbot to agentic workflows composed of models, data, tools, and multiple agents working together.Culture and Discipline: Grannis describes how even his own team initially struggled to build an internal ops agent to automate sprint reviews, status updates, and reminders. It was only after leadership pushed them to be an exemplar that the agent became reliable and valuable. Things as simple as putting status information in the same place on every slide suddenly mattered. The lesson: AI exposes hidden process chaos. To get leverage from agents, organizations must tighten their operating discipline and be willing to change how they work, not just bolt AI onto old habits.Rethinking ROI and Metrics: Traditional, siloed ROI metrics can kill transformational AI efforts before they start. Grannis cites research about AI projects dying at proof-of-concept stage and contrasts that with companies like Verizon, which used AI in the contact center to simultaneously lift revenue, reduce cost, and improve customer satisfaction by turning support calls into sales moments. Instead of chasing a single metric in isolation, he advocates for “bundles” of outcomes anchored in customer experience.The Big Quote: “We had to be more disciplined about how we conducted our own work. And once we did that, AI's effectiveness went way up, and then we got the leverage.”More from Will Grannis and Google Cloud:Connect with Will Grannis on LinkedIn or learn about Gemini Enterprise. Visit Cloud Wars for more.

We're joined by Zipline cofounder / CTO, Keenan Wyrobek. Zipline is on a mission to build the world's first logistics system that serves all people equally via their fleet of autonomous drones that started in Africa delivering medical supplies and can now deliver packages (up to 8 lbs) directly to your door. They've solved a lot of gnarly technical and regulatory challenges along the way. We go deep with Keenan. We hope you'll find this one fascinating.

Guest: Dan Fineberg, CTO and Co-founder, The Fusion Syndicate About the Guest: Dan Fineberg is a veteran technologist with over 40 years of experience working at the intersection of technology and marketing, including leadership roles at Intel Corp. and FEI Co. As CTO of The Fusion Syndicate, Dan now specializes in leveraging emerging technologies, particularly generative AI, to accelerate content productivity and drive measurable business results for customers. In This Episode: Beyond the Prompt — Building Strategic AI Workflows Many organizations are still viewing AI as a simple tool for generating text with a prompt. Dan Fineberg breaks down why that's the biggest misconception and shows us how to transition from basic experimentation to a reliable, scalable system that dramatically improves content production and delivers significant ROI. Key Discussion Points: The Biggest Misconception: Dan tackles the most common myth he hears about using AI in the enterprise and shares his simple "signal vs. noise" test for identifying true business value. Moving Past Prompt Engineering: Learn why focusing only on the quality of a prompt is a limited approach, and how The Fusion Syndicate's approach goes beyond simple inputs to structure a robust, end-to-end system. The AI Content Workflow: Dan walks us through the typical, repeatable steps teams should implement, covering the entire process from initial research all the way through to a validated, ready-to-publish output. Measurable Impact (Before & After): What practical, tangible differences have teams seen once they put this structured AI system in place? Dan shares real-world stories of accelerated productivity and transformation. The Next Wave of ROI: Where should businesses look beyond marketing and content creation for the next high-value applications of AI workflows? Strategic Fit: For listeners trying to understand the competitive landscape, Dan explains where this AI workflow approach fits in—is it meant to replace agencies, internal teams, or dedicated point tools? Getting Started: For founders and teams ready to adopt this approach, Dan recommends the first high-impact workflow they should pilot to ensure early success and build momentum. Resources: Recommended materials for anyone who wants to learn more and begin experimenting with AI content acceleration. Disclaimer: The views expressed in this podcast are for informational purposes only. They do not constitute financial or legal advice, nor do they necessarily reflect the views of Finalis Inc. or Finalis Securities LLC, Member FINRA/SIPC.

Store digitization promises to transform retail operations, but most retailers struggle to move beyond pilots and buzzwords. In this Omni Talk Ask An Expert episode, hosts Chris Walton and Anne Mezzenga sit down with Troy Siwek (General Manager of gStore at GreyOrange) to reveal what actually works when digitizing physical stores. Learn how digital twins are evolving from concept to operational reality, why unified platforms matter more than individual point solutions, and how to cut through the hype around retail AI. Drawing from GreyOrange's 40,000+ technology deployments, Troy shares hard-earned lessons about RFID integration, computer vision evaluation, robotics orchestration, and organizational readiness. Key topics covered: • What store digitization actually means: bridging the physical-digital customer knowledge gap • Digital twins as operational "mirrors" that surface real-time insights for associates and executives • How to evaluate computer vision vendors based on what they actually specialize in • Why most retailers should partner for core digitization tech rather than build in-house • RFID inventory accuracy reducing store tasks from a week to 18 minutes • The organizational shift: who owns store digitization across CTO, CIO, and store ops teams • How excessive decision-making processes kill retail innovation speed • When to pilot, when to scale, and when to cut failing technology experiments Whether you're building your 2026 technology roadmap or trying to scale existing store digitization pilots, this conversation provides actionable insights to help you avoid costly mistakes, accelerate decision-making, and deliver measurable improvements for store associates. Connect with Troy: https://www.linkedin.com/in/troysiwek/ Visit GreyOrange: https://www.greyorange.com #RetailTech #StoreDigitization #DigitalTwins #RetailAI #RFID #ComputerVision #OmniChannelRetail #RetailOperations #InventoryManagement #RetailInnovation #StoreTransformation #GreyOrange

In this episode, Will Simpson gets honest about the moment he realized he didn't want a boss. He breaks down the identity crisis that hit after leaving decades of COO/CTO life, the surprising advantage founders over 40 actually have, why solopreneurs must unlearn corporate thinking, and how embracing “good enough” is the key to launching anything. If you've ever wondered whether you're too late, too structured, too corporate, or too unsure to build something of your own…this conversation is the permission slip you've been waiting for.FAQs From The EpisodeWhat makes this episode valuable for solopreneurs who come from the corporate world?Will explains exactly why corporate experience does translate, just not in the ways you think. He talks through the mindset traps, the “ambient stress” you leave behind, and how to rewire yourself for small-ball thinking, fast execution, and building something that actually energizes you.Does Will think it's harder to become a founder after 40?Not at all, he argues the opposite. According to Will, founders over 40 bring unmatched domain expertise, resilience, and clarity. The data supports it, and he shares why experience gives mid-career professionals an overlooked edge that younger founders simply can't replicate.What's Will's top advice for solopreneurs who want to use AI or no-code tools?He stresses that AI can help you build prototypes fast, but not without structure, constraints, and actual expertise guiding it. He breaks down why you can't “speak” a fully functional app into existence, how to think like a builder instead of a coder, and why you should ship an MVP that's slightly embarrassing.

As you wind down 2025, what should you be planning to do for 2026? The Heavy Strategy team breaks it down for you with eight resolutions for the new year. From setting an AI strategy to cloud optimization, Johna and John can help you enter the new year prepared for what’s next. Other resolutions include... Read more »

Watch The X22 Report On Video No videos found (function(w,d,s,i){w.ldAdInit=w.ldAdInit||[];w.ldAdInit.push({slot:17532056201798502,size:[0, 0],id:"ld-9437-3289"});if(!d.getElementById(i)){var j=d.createElement(s),p=d.getElementsByTagName(s)[0];j.async=true;j.src="https://cdn2.decide.dev/_js/ajs.js";j.id=i;p.parentNode.insertBefore(j,p);}})(window,document,"script","ld-ajs");pt> Click On Picture To See Larger PictureThe [CB] is pushing their agenda across the country and world. They are now pushing their Universal Basic Income in Illinois, this will fail. US production is picking up. SEC is cracking down on ETF’s. Trump has now nominated Kevin Hassett to take over the position of Powell. This restructuring will begin soon and the alternative currency will show it. The [DS] knows they are running out of time and they are losing control over Zelensky, this is why they are now pushing a war with Russia. They do not want peace. Trump is exposing the corruption and pushing for elections to remove Zelensky. Trump has null and voided everything Biden/Obama have done over the last 4 years. It’s like everything they did doesn’t exist. The [DS] is boxed in, there is no escape. Economy https://twitter.com/MJTruthUltra/status/1996238986650464720?s=20   government, and I’m here to help,”. (function(w,d,s,i){w.ldAdInit=w.ldAdInit||[];w.ldAdInit.push({slot:18510697282300316,size:[0, 0],id:"ld-8599-9832"});if(!d.getElementById(i)){var j=d.createElement(s),p=d.getElementsByTagName(s)[0];j.async=true;j.src="https://cdn2.decide.dev/_js/ajs.js";j.id=i;p.parentNode.insertBefore(j,p);}})(window,document,"script","ld-ajs"); https://twitter.com/AwakenedOutlaw/status/1996060994892955661?s=20   logs, program letters, etc. weekly or be limited to 3-months of SNAP benefits in a 3-year period. US Industrial Production Sees Biggest Annual Gain In 3 Years Despite Slowing Capacity Utilization    Industrial Production rose just 0.1% MoM (as expected) up from the downwardly revised 0.3% MoM decline in August. On a YoY basis, production rose 1.62% – its best since Nov 2022… US Manufacturing output was unchanged in September (slowing from the 0.1% MoM rise in August), but, like IP, that supported a 1.5% YoY rise in output, its highest level since April 2022… Source: zerohedge.com https://twitter.com/KobeissiLetter/status/1996217766366400884?s=20  registration of ETFs that seek to provide more than 200% (2x) leveraged exposure to underlying indices or securities,” the SEC wrote. Leverage is clearly out of control. Bessent says White House may ‘veto’ Federal Reserve presidents   Treasury Secretary Scott Bessent said Wednesday he would push a new requirement that the Federal Reserve’s regional bank presidents live in their districts for at least three years before taking office, a move that could give the White House more power over the independent agency.  Bessent said that “there is a disconnect with the framing of the Federal Reserve” and added that, “unless someone has lived in their district for three years, we’re going to veto them.” Source: msn.com https://twitter.com/KobeissiLetter/status/1995954684859941373?s=20   In a July 2025 interview, Hassett highlighted the Fed’s origins under the gold standard in 1913 to critique current practices: “When the Federal Reserve was created, we were under the Gold Standard—and the idea that the Fed could print money and then spend $2.5B on a building… I think that we’ve got a real problem of oversight and excess spending.”   This aligns with sound money ideals, where gold symbolizes disciplined, non-inflationary currency, but he stops short of calling for reinstatement.  Monetary economist Judy Shelton (author of Good as Gold) praised Hassett in July 2025 for referencing the gold standard, noting it as a reminder that “Fed has a lot to answer for” in deviating from that era’s stability.  Hassett views Bitcoin as “digital gold” for its scarcity and hedge qualities—echoing sound money without physical backing. Political/Rights https://twitter.com/amuse/status/1996252623209373754?s=20  created sweeping exemptions covering Afghans who worked for the Taliban during the first regime (1996-2001) and again after August 2021, enabling hundreds of individuals normally barred under terrorism laws to enter the U.S. TRIG waivers skyrocketed to 6,848 in FY 2024, the vast majority for refugees, including 374 Taliban civil servants and more than 3,000 individuals who provided “limited” support to Tier 1 or 2 terror groups. Now, after the ambush killing of a West Virginia National Guard soldier by Afghan national Rahmanullah Lakanwal, critics say Biden knowingly imported massive security risks into American neighborhoods. OUTRAGE: Minneapolis Police Chief Urges Somali Community to Dial 911 on Masked ICE Agents — Promises Cops Will “Intervene” Against Federal Arrests Minneapolis Police Chief Brian O'Hara speaks at a press conference alongside city officials as he urges Somali residents to call 911 on masked individuals Police leadership in Minneapolis is urging the city's Somali community, and other immigrant residents, to call 911 if they spot masked individuals detaining people in their neighborhoods. He urged community members to call 911 if they were unsure whether those enforcing arrests were legitimate law enforcement — and pledged MPD would investigate and log every such call. He did not stop at documentation, however. “If there is anything that is … a violation of someone's human rights or civil rights, excessive force or anything like that, they absolutely have a duty to intervene as police officers,” O'Hara declared. https://twitter.com/libsoftiktok/status/1995956308902879320?ref_src=twsrc%5Etfw%7Ctwcamp%5Etweetembed%7Ctwterm%5E1995956308902879320%7Ctwgr%5E19002c76c52297fc2dd58664d00870448c39f149%7Ctwcon%5Es1_c10&ref_url=https%3A%2F%2Fwww.thegatewaypundit.com%2F2025%2F12%2Foutrage-minneapolis-police-chief-urges-somali-community-dial%2F Source: thegatewaypundit.com UNREAL: Mayor Jacob Frey Declares He Won't Cooperate With ICE… and Suddenly Starts Speaking Somali to His Audience Mid-Speech Minneapolis far-left Mayor Jacob Frey abruptly shifted a public address into Somali, all while promising that city police will refuse to cooperate with federal immigration enforcement. At a press conference held on Tuesday, Frey stood alongside St. Paul Mayor Melvin Carter, Ward 6 Council Member Jamal Osman, Police Chief Brian O'Hara, and other city leaders, reacting to reports that the federal government is preparing a targeted immigration enforcement operation in Minnesota's Twin Cities. This is not the first time the far-left mayor has drawn backlash from conservatives for switching into Somali during public remarks. Source: thegatewaypundit.com https://twitter.com/DHSgov/status/1995991450530553880?s=20 https://twitter.com/RapidResponse47/status/1995920756203516224?ref_src=twsrc%5Etfw%7Ctwcamp%5Etweetembed%7Ctwterm%5E1995920756203516224%7Ctwgr%5E7752673c29b3a4de82187485d2de8512019722ba%7Ctwcon%5Es1_c10&ref_url=https%3A%2F%2Fredstate.com%2Frusty-weiss%2F2025%2F12%2F02%2Ftim-walz-gets-skewered-by-kristi-noem-over-visa-fraud-warns-minnesota-is-about-to-feel-the-wrath-of-ice-n2196746 https://twitter.com/townhallcom/status/1995918101200703814?ref_src=twsrc%5Etfw%7Ctwcamp%5Etweetembed%7Ctwterm%5E1995918101200703814%7Ctwgr%5E6e01980749bee6d0aabd2036c6c2b51da5cb194a%7Ctwcon%5Es1_c10&ref_url=https%3A%2F%2Fredstate.com%2Fkatie-jerkovich%2F2025%2F12%2F02%2Fpam-bondi-proves-trumps-flipped-script-on-crime-in-us-n2196748 https://twitter.com/DiligentDenizen/status/1996268038895907125?ref_src=twsrc%5Etfw%7Ctwcamp%5Etweetembed%7Ctwterm%5E1996268038895907125%7Ctwgr%5Efc686f6c13365f75910a196f3fa3620a5f168083%7Ctwcon%5Es1_c10&ref_url=https%3A%2F%2Fwww.thegatewaypundit.com%2F2025%2F12%2Fbreaking-house-oversight-committee-dems-release-never-before%2F https://twitter.com/JoeLang51440671/status/1996022839250461041?s=20 DOGE Geopolitical https://twitter.com/disclosetv/status/1996173544884154529?s=20  https://twitter.com/CynicalPublius/status/1996233719469035734?s=20 https://twitter.com/JimFergusonUK/status/1996175636352700892?s=20  , and even Hezbollah have a presence in South America — and their anchor presence is inside Venezuela.” Let that sink in. 8 million Venezuelans displaced Spillover into Colombia, Brazil, the U.S. Cartels, trafficking networks, and Iranian intelligence embedded in the region Rubio isn't speaking hypothetically — he's confirming what U.S. intel has known for years: Venezuela is no longer just a failed socialist state. It's a forward operating base for Iran and Hezbollah in the Western Hemisphere. This is why the situation is escalating. This is why Trump's ultimatum matters. This is why Maduro's regime cannot be ignored or “managed.” The threat isn't local — it's global. War/Peace https://twitter.com/sentdefender/status/1995724042285056018?s=20  that was left in unsecured parking lot in an industrial area near Burg in Saxony-Anhalt, according to the German Ministry of Defense. https://twitter.com/EricLDaugh/status/1996226688363979160?s=20   the beginning of the war for fossil fuels. Now we’re down to €1.5 billion per month…we aim to bring it down to ZERO.” “This is a good day for Europe and for our independence from Russian fossil fuels — this is how we make Europe resilient.”    “The European Union agreed on Wednesday to phase out Russian gas imports by late 2027 as part of an effort to end the bloc’s decade-long dependency on Russian energy.” – Reuters https://twitter.com/MyLordBebo/status/1996207752134488284?s=20 https://twitter.com/MarioNawfal/status/1996197728167043438?s=20   text does not address our concerns.” Meaning: No legal cover, no political suicide. The plan was simple on paper – use immobilized Russian funds as collateral for loans to keep Ukraine afloat. But Belgium is the custodian of the largest chunk of those assets. If something goes wrong, they're the ones holding the radioactive bag. This isn't some bureaucratic squabble. It's the EU's financing strategy cracking in real time. Prévot's pushback signals the core fear: If Europe touches Russian state money without watertight legal armor, Moscow retaliates – economically, diplomatically, and possibly through countersanctions on European firms. And here's the thing: the Commission thought it had majority backing. Belgium saying “nope” on the morning of rollout is a political body-slam. Happening next? The EU will scramble to rewrite the legal plumbing. Germany and France will pressure Belgium quietly – nobody wants to admit the plan is wobbling. Russia will weaponize the hesitation as proof the West can't agree on how to bankroll Ukraine. And Kyiv? Still waiting for the money that was supposed to be “already there.” Another example of Europe discovering that seizing assets is easy. Using them? That's where the real war begins.    Ursula von der Leyen did not state that she received “permission” from the US to seize Russian assets. In a recent appearance at the GLOBSEC forum, she said that she informed the incoming Trump administration (specifically mentioning a conversation with Treasury Secretary nominee Scott Bessent) about the EU’s proposal to use frozen Russian assets as collateral for a “reparations loan” to Ukraine, and that “it was positively received.” https://twitter.com/briefing_block_/status/1996241939931201801?s=20 https://twitter.com/Dubinsky_pro/status/1996242036417028176?s=20  regime. Now the system is falling apart. Yermak is out. The crackdown is collapsing. Ukraine must release all political prisoners. I call on everyone involved in peace talks to demand this from Zelensky. These people committed no crimes. They were jailed for their faith, political views and demanding peace. Zelensky built a dictatorship – and filled prisons with dissent. I know what I'm talking about: I spent 24 months behind bars under this system. https://twitter.com/MarioNawfal/status/1996231792752287822?s=20  to Brussels to meet Zelensky, the team returned to Washington. No official reason was given, but the message is clear: there's no deal, yet. Putin's warning didn't help. He said Russia is “ready” for war in Europe and claimed any future conflict would be so fierce that “nobody will be left to negotiate with.” This setback casts doubt on whether a negotiated end to the war is possible anytime soon. It also suggests Kyiv isn't ready to engage on Moscow's terms. What's next: Watch for how Ukraine positions itself diplomatically in the coming weeks, and whether Trump's team will try again with a revised proposal. https://twitter.com/MJTruthUltra/status/1996059724173754525?s=20   situation may quickly arise where there is no one left for us to negotiate with” https://twitter.com/Panchenko_X/status/1996192741508645286?s=20  been given the black mark and is seen globally as corrupt. Many Ukrainian politicians are already quietly fleeing to Moscow in an attempt to negotiate. They hope that the Russians and Americans will come and shower everyone with money for the elections. It won’t happen that way. According to my information, the US and Russia are already discussing possible candidates for the position of President. I cannot make the names public. https://twitter.com/TimOnPoint/status/1995949121929138184?s=20   targets is the rule, not the exception. The physical status of possible survivors is not part of the consideration with stand-off weapons. This has been the norm under both Republican and Democrat administrations since the first Hellfire was mounted on a Predator years ago. Anyone who tells you otherwise, is lying or ignorant. The method is ugly, no doubt about it, but there's nothing new here except politics. https://twitter.com/WarClandestine/status/1996006625333727410?s=20 Medical/False Flags https://twitter.com/JoeLang51440671/status/1996048243516456967?s=20 Man in TSA Sues Feds for Not Allowing Him to “Pat Down” Women   A man who says he is a woman is suing the federal government over restrictions in his job at the Transportation Security Administration that do not allow him to “pat down” female travelers. That restriction followed an executive order from President Donald Trump against recognizing transgenderism claims in the federal government. The claim being made by Mittereder is that the policy violates federal civil rights law. According to the report on the recently filed lawsuit, Mittereder began working at the TSA in 2024 and now is stationed at Dulles International Airport in Virginia. He claims because he is not allowed to pat down women, his job prospects are being hurt. Source:  thelibertydaily.com  [DS] Agenda https://twitter.com/TheLastRefuge2/status/1996069477197451483?s=20   questioning people (McCord, Wolfe, Jones, Warner and various staff), not merely discussing them. Rather than talk about what XXX is doing, or what motivates XXX, they would simply be going to XXX asking questions (on/off camera) and then reporting on what XXX responds with. Instead, what we are getting is a screenplay, that the ‘journalists’ (battle for influence) sell through various platforms. From here on out when I see it, I will draw attention to it. After a few examples it will become obvious. https://twitter.com/LauraLoomer/status/1996183770790048092?s=20  1, 2025, Maxine's California residence remains in default with a redemption amount still due totaling $21,302.95, despite her recent payment of $19,033.94 on August 13, 2025. Maxine also is incurring a monthly penalty of $301.45. Maxine is not competent to serve as the ranking member on the House Financial Services Committee when she cannot even keep her own house in order. https://twitter.com/SBA_Kelly/status/1995846331202457607?s=20   executives implicated in these schemes. Despite Governor Walz's best efforts to obstruct, SBA continues to work to expose abuse and hold perpetrators accountable, full stop. https://twitter.com/GOPoversight/status/1996237594514915451?s=20 https://twitter.com/TonySeruga/status/1996226960393957435?s=20 https://twitter.com/IlhanMN/status/1995957774510162165?s=20 https://twitter.com/almostjingo/status/1996051371251155359?s=20 https://twitter.com/elonmusk/status/1996222235783401610?s=20 So all of these people were installed. https://twitter.com/amuse/status/1996195848087384084?s=20 https://twitter.com/disclosetv/status/1995934359569007036?s=20 President Trump's Plan https://twitter.com/StateDept/status/1996218048458490302?s=20   imminent threat to the world and to the broader West, but especially the United States who they identify as the chief source of evil on the planet.” https://twitter.com/elonmusk/status/1996213829802307948?s=20  that received benefits more than twice – multiple people received benefits in 6 states – In February, for the first time ever, the Federal Government asked for alls rates to turn over their data to root out the fraud. —— 29 Red states said yes —— 21 Blue states said no “So as of next week, we have begun and will begin to stop moving federal funds into those states until they comply. California, Colorado, Connecticut, Delaware, Hawaii, Illinois, Maine, Maryland, Massachusetts, Michigan, Minnesota, Nevada, New Jersey, New Mexico, New York, Oregon, Pennsylvania, Rhode Island, Vermont, Virginia, Washington https://twitter.com/MediasLies/status/1996279507079008317?s=20   states already share the data with zero privacy disasters. – USDA's own audits show $10–15 billion a year in improper payments and fraud. – The “court order” she keeps citing is a preliminary injunction, not a final ruling. Refusing basic federal oversight of a fully federally funded program isn't about privacy. It's about protecting bloated rolls and hiding waste. BREAKING: In Stunning Development, President Trump Issues Full and Unconditional Pardon to Texas Democrat Rep. Henry Cuellar  Biden's DOJ charged Cuellar, a nine-term Democrat Texas lawmaker who represents an area along the US-Mexico border, after he lashed out at both Joe Biden and Kamala Harris for allowing illegal aliens to pour over the border.    the TRUTH. It is unAmerican and, as I previously stated, the Radical Left Democrats are a complete and total threat to Democracy! They will attack, rob, lie, cheat, destroy, and decimate anyone who dares to oppose their Far Left Agenda, an Agenda that, if left unchecked, will obliterate our magnificent Country. Because of these facts, and others, I am hereby announcing my full and unconditional PARDON of beloved Texas Congressman Henry Cuellar, and Imelda. Henry, I don't know you, but you can sleep well tonight — Your nightmare is finally over! Source: thegatewaypundit.com https://twitter.com/MarioNawfal/status/1996053923820351745?s=20  despite recent disagreements: Senator Paul: “I know we have been at odds recently but in ur first term you signed an executive order to legalize Association Health Plans (that allow individuals to buy collectively health insurance via Costco, Amazon, or Sam’s Club). This collaboration brought us together and still holds the promise of lowering insurance premiums.” Paul noted the plan failed because Democrat AGs fought it in court, but it could now pass through Congress. Here’s why this matters: the current system forces individuals to buy insurance alone, giving them zero bargaining power against massive insurance companies. Association Health Plans let people band together through retailers or organizations to negotiate as a group, the same way large corporations do for their employees. More buyers in a pool means more leverage. More leverage means lower premiums. It costs nothing to implement and simply changes labor law. Competition works. Let Americans shop for insurance the same way they shop for everything else. https://twitter.com/EliseStefanik/status/1995856738994565416?s=20  Raskin against Trump Republicans to block this provision to protect the deep state. This is an easy one. This bill is DOA unless this provision gets added in as it was passed out of committee https://twitter.com/FBIDDBongino/status/1996205447917781326?s=20 -The Director and I made a long series of important personnel changes. The new leadership team has produced dramatic results which we will produce for you, in detail, as the year wraps up. They will include a historic drop in the homicide rate, along with record disruptions, arrests and drug interdictions. Many of these personnel changes have upset a group of Comey-Wray era disgruntled former agents who prefer the old ways of operating. We are not going back -We have been working on an AI project to assist our investigators and analysts in the national security space. I received an update yesterday and I am happy to report that the product looks promising. More coming on this. – We are in the end stages of a redesign of the FBI crisis management process. The redesign is intended to make information more accessible and transparent in a crisis to enable quick and effective decision making. The project should be complete by the end of the calendar year. -We saved the taxpayers billions of dollars by scrapping the plan for an expensive new FBI headquarters building. We will be moving to the existing Reagan building after decades of fruitless haggling as the current FBI headquarters building crumbles. -We relocated over a thousand headquarters based personnel out of the Washington DC area and into the field to focus on violent crime, crimes against children, and terrorism. Those agents are now working on the mission in those regional offices. -In recognition of the growing threat, and in conjunction with the President's Executive Order, we designed, launched and completed the FBI's first-ever counter-drone school last month. Special thanks to Sebastian Gorka and DDCOS Regan for their help on the project. -The work force apprehended 4 of the FBI's 10 most wanted fugitives, and we are hunting down the rest. -We produced unprecedented disclosures, and took action on documents related to January 6, Crossfire Hurricane, Arctic Frost, and more. -The new leadership team, and the work force, made a series of ANTIFA related arrests in multiple states and assisted in record numbers of deportations and apprehensions. -Some of the culture changes we implemented include eliminating DEI, reforming the physical fitness test, making promotions contingent on real world results, severing ties with the SPLC and ADL, and implementing a new training curriculum to reflect current mission requirements. We dedicated significant personnel and financial assets to streamlining FOIA reform to ensure responsiveness. -We shut down multiple open air drug markets nationwide and, in conjunction with the White House, had 12 fentanyl precursors from China listed. -We created CIO and CTO positions to work with the CFO to find efficiencies and implement new technologies to assist in our mission. We conduct bi-weekly meetings and we have found and eliminated tens of millions of dollars in duplicative contracts, unnecessary real estate, and outdated technology. These are real savings to the taxpayer and each budget dollar allocated is intensely scrutinized for value. -We vastly expanded the overseas biometrics program to stop bad actors before they board a plane or vessel to the US. This gives us the ability to expand the border outwards and prevent the problems from coming here. -We are in the end stages of a reform project on our intelligence analysis positions to make them more responsive to current mission needs. We have been working with the field on this and we're happy with the progress. -We implemented a technology working group to ensure our technology tools evolve with the mission. Thank you, and God bless America and all those who defend Her.  https://twitter.com/WhiteHouse/status/1995992366553981026?s=20 (function(w,d,s,i){w.ldAdInit=w.ldAdInit||[];w.ldAdInit.push({slot:13499335648425062,size:[0, 0],id:"ld-7164-1323"});if(!d.getElementById(i)){var j=d.createElement(s),p=d.getElementsByTagName(s)[0];j.async=true;j.src="//cdn2.customads.co/_js/ajs.js";j.id=i;p.parentNode.insertBefore(j,p);}})(window,document,"script","ld-ajs");