Pure Signal

Pure Signal
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Businesses are transforming at a breakneck pace. Leaders need to know the latest, but more importantly they need to understand which developments actually matter (and which don’t). Kevin Erickson, Jake Carter, and Ryan Medellin have brought their combined expertise to companies ranging from the Fortune 100 to innovative startups. Together they’re digesting the biggest developments in tech, data, AI, and beyond to bring you the strategy-focused insights you need to position your business for an unpredictable future. This is Pure Signal. Brought to you by the experts at Credera.

  1. 24 SEPT

    Restructuring Productivity in the Age of AI

    Enterprises are racing to bring AI into their workflows, but most efforts stall in the pilot stage or get lost in measurement debates. In this episode of Pure Signal, hear what it really takes for organizations to move from experimentation to impact. Today’s conversation brings together Kevin Erickson, Jake Carter, and Ryan Medellin as they explore how AI is reshaping productivity, why traditional planning cycles are under pressure, and what leaders must do differently to unlock sustainable value. Is faster velocity the real win, or is it a distraction? And how should executives measure progress when the benchmarks themselves are shifting? From the rise of tiger teams and distributed adoption to the importance of data readiness and new talent skills, the discussion surfaces the levers that actually drive enterprise change. You’ll hear why use cases matter more than proofs of concept, how AI is altering the role of annual planning, and what emerging professionals should focus on to thrive in an AI-native workplace. — Quotes "You need a number of different elements if you're going to get a company to actually change how they're working with AI. One we already alluded to is the field-level workers who are changing the way they're working already. You’ve got to get the tools in the hands of your people.” – Jake Carter "Cloud computing increased velocity by 4x. You could do more, but you still just took that extra 4x and put it into more backlog. I don’t know if that plays out the same way in AI, because I think it’s going to require departments thinking together or projects getting done differently” – Kevin Erickson “When AI started becoming a thing, it was almost like you were hiding at first that maybe you were using AI to help velocity because you weren't sure how it would be received from up or below. Now, it seems like it’s almost an opportunity to display what you're doing to help make you more efficient.” – Ryan Medellin — Time Stamps 00:00 Intro 01:00 Where is the future of work going to be? 07:45 Adapting your workforce to AI 13:00 Work smarter, not harder 18:55 What it really takes to change at scale 25:00 Where this technology impacts the next generation 27:10 New business expectations 32:00 Advice for supercharging the emerging workforce — Links  Connect with the hosts on LinkedIn! Kevin Erickson Jake Carter Ryan Medellin Learn more about Credera

    37 min

  2. 9 SEPT

    Finding Success Amidst AI Fails

    AI failures are making headlines with a widely circulated MIT study claiming that 95% of GenAI deployments are falling short of expectations. In this episode of Pure Signal, the team breaks down what’s really behind that number and what it means for enterprise leaders navigating AI adoption. Joining today as new hosts are Jake Carter, Partner and Global Chief Innovation Officer, and Ryan Medellin, a manager in Credera’s Digital Strategy and Delivery practice. Alongside Jason Goth and Kevin Erickson, they dissect the MIT report’s claims and offer a more grounded view from inside the trenches. Why are internal AI efforts failing at twice the rate of external ones? Why do flashy AI projects often disappoint while quiet back-office initiatives deliver real ROI? And most importantly, what should executives be doing differently to lead with strategy, not panic? From integrating AI into existing workflows to the growing role of shadow IT, the conversation explores how companies can increase the success rate of AI efforts without chasing the hype. You’ll hear what separates failed pilots from scalable wins, why the most valuable use cases are often invisible, and how to turn AI experimentation into enterprise impact. — Quotes "If you know that all of your employees are already using AI, whether they're admitting it or not, figure out what they're using it for. And that'll help you find the use cases that are worth building on. Because AI is already transforming business, it's just not happening through the official channels. It's happening on the side of people's desks." – Jake Carter "Probably 95% of dot-com companies failed too. But that doesn't mean the internet is not a thing, right? Companies are going to have to continue to push and invest. Individuals are going to continue to do that." – Kevin Erickson — Time Stamps 00:00 Intro 00:50 Updates to Pure Signal 04:30 Are GenAI efforts failing? 13:00 Every new technology needs iteration 19:50 Where to start as an executive 26:55 Lessons from both the successes and failures 32:30 Make the most of internal AI adoption 37:20 The perception of enterprise solutions 41:15 Wrapping up — Links  Connect with the hosts on LinkedIn! Kevin Erickson Vincent Yates Jake Carter Ryan Medellin Learn more about Credera

    47 min

  3. 6 AUG

    Hiring AI-Ready Talent

    AI isn’t just transforming technology, it’s reshaping the very definition of talent. This episode of  Pure Signal examines why organizations need to change their hiring scope to focus on skills like adaptability, curiosity, and a real eagerness to embrace new technologies as AI adoption continues across today’s workforce. As companies struggle to accelerate AI adoption, a new reality is emerging: technology alone won’t drive transformation. Leaders are realizing that success depends on people who can learn quickly, embrace change, and rethink how work gets done. From mid-market disruptors to global enterprises, the pressure is on to identify and develop teams built for continuous reinvention. Join Vincent and Kevin as they explore what defines AI-ready talent, how leaders can nurture curiosity and resilience across their organizations, and why the ability to adapt is now a competitive advantage. Their conversation offers a candid look at the human side of AI transformation, and the stakes for companies that fail to evolve their workforce as fast as their tech. — Quotes “Everything goes back to simplistic elements and traits. Who's going to be successful in that model where you have to learn? Well, it's someone who has a learning mindset, a growth mindset. Someone who is curious, someone who's got the discipline to figure it out. Someone who's got the perseverance to work through things. Someone who gets excited about doing it in a different way." – Kevin Erickson “In these moments, I think we're going to see the mid-market companies get a lot more aggressive. They have the agility, they have the conviction. Oftentimes they're still sort of founder-led or privately owned in some cases, and that gives them more flexibility. They want real growth." – Vincent Yates — Time Stamps 00:00 Intro 00:30 Why AI adoption is uneven across organizations 03:00 Getting past the first hurdle 06:00 Carrots vs. sticks 10:00 Moving from faster work to better work 13:00 Redefining value when AI levels the field 17:00 Why mid-market companies have the advantage 23:00 Lessons from past tech transformations 28:00 Hiring for adaptability 36:00 Curiosity, resilience, and change as competitive advantage 42:00 Leading through change without burning out teams 46:30 Closing thoughts — Links  Connect with the hosts on LinkedIn! Vincent Yates Kevin Erickson Jason Goth Learn more about Credera

    49 min

  4. 23 JUL

    The Consequences of Playing It Safe with AI

    AI projects are falling short across the tech industry and executives are losing their jobs because of it. This episode of Pure Signal explores the reasons behind boards’ new pressures, what CIOs and CEOs can do to right the ship, and how it is possible to balance speed with strategy in regards to AI.  From the early days of AI adoption well through to today, workers everywhere have been worried about if their jobs will be replaced by their computer counterparts. And recently people have been losing their jobs..but not because they’re being replaced. High-profile CIO and CEO departures have been making headlines because they’ve been going too slow in their organization’s AI efforts.  Join Vincent, Jason, and Kevin, as they unpack the rising tension in the C-suite as AI adoption becomes a board-level priority. With only 25% of enterprise AI projects delivering on ROI, companies are reckoning with years of tech debt, siloed systems, and a shortage of generative AI-ready talent. Their conversation dives into how to lead AI transformation from the top without sacrificing security, regulatory standards, or execution speed. From risk-tolerant innovation and agile delivery to the debate over if titles such as “Chief AI Officer” even mean anything tangible, this episode lays out what forward-leaning organizations are actually doing to win, and why most of them aren’t talking about it publicly. — Quotes "We're asking CIOs to solve all of the tech debt for the past 10 years that organizations haven't invested in or paid for and then on top of that, deliver net new outcomes with AI. That's a really difficult spot. CEOs basically want miracles, and they want them now.” – Vincent Yates "Boards want to see bold action. If you're a little sloppy but you're showing demonstrated value in terms of velocity and acceleration, people will likely forgive that. But if you're too cautious and get fired for moving too slow, that’s a much harder story to recover from. Right now, this is a moment for action, not preservation." – Kevin Erickson "This idea that you have to choose between innovation and security is completely false. If you design things well and use AI and other automation tools, you can actually be more secure while moving faster. The tools can test for vulnerabilities, generate more secure code, and incorporate best practices by default. You get better outcomes at greater speed." – Jason Goth — Time Stamps 00:00 Intro 00:25 Holding executives accountable for slow AI adoption 02:35 Overcorrection? Or justified response? 09:55 Roles are shifting across organizations 13:40 Think slow but act fast 20:35 Lean on specific, measureable pursuits 25:25 Security is no longer a good excuse 29:35 It's okay to break things 38:00 Is it as easy as adding a new title to your executive team? 46:35 Empower your existing teams to orient around action 50:50 Recent AI wins to learn from — Links  Connect with the hosts on LinkedIn! Vincent Yates Jason Goth Kevin Erickson Learn more about Credera

    58 min

  5. 9 JUL

    Building AI That Actually Knows You

    GenAI capabilities are in a state of constant acceleration, but without true memory, it also is starting from scratch with each use. In this episode of Pure Signal, you’ll hear why context is the next critical unlock in AI and what it means for both businesses trying to stay ahead and consumers craving personalization.  Opening up with a breakdown of how current models are operating, Vincent, Kevin, and Jason weigh how these platforms will need to evolve in order to be fully customized at the user level in a safe and scalable way. They argue that while the most obvious benefit exists on the consumer side with increased user loyalty, executives and businesses would also be able to leverage this unlock to streamline many of their operations. Is it technically feasible to carry context from app to app? Will vendors allow it, or fight to own it? And what are the strategic risks of letting someone else control your AI memory layer? Whether you’re designing new products, leading AI integration, or shaping data architecture, this episode offers a timely look at what it takes to build differentiated experiences in a world of commoditized intelligence. — Quotes "What’s fascinating is that we’re revisiting the same challenges we’ve seen throughout 200 years of computing. General vs. Special Purpose. Memory vs. No Memory. It’s always been the same problem. AI today looks like early mainframes or punch cards in some ways. We’re going to need another evolution to figure out how memory and personalization really work.” – Kevin Erickson "The way we've designed systems for the last 20 years is to be stateless. The AI models are no different. You either put memory into the model, which is basically not scalable—or you provide it as input every time. That’s why durable, long-term memory is such a hard architecture problem to solve." – Jason Goth "We're going to move from a world where your data travels with you. That's the game-changer. I shouldn't have to reintroduce myself to every system I use. The intelligence isn't just in the model, it's in what it remembers about me and how seamlessly it can apply that context." – Vincent Yates — Time Stamps 00:00 Intro 01:00 The value of being remembered 05:35 Will AI models be sought out for stored context? 14:05 Can each platform be fully customized per user? 19:30 Solving future problems with current technology 25:25 Increasing loyalty with added context 30:10 Where will customers see the impact 36:35 Are potential risks worth worrying over? 43:20 It all comes back to differentiation 47:40 Wrapping up — Links  Connect with the hosts on LinkedIn! Vincent Yates Jason Goth Kevin Erickson Learn more about Credera

    50 min

  6. 25 JUN

    The Impact of AI on M&A Strategy

    M&A processes are more efficient than ever before with AI streamlining complicated processes and offering in depth research at will. Today on Pure Signal, you’ll hear what this might mean for the future of services business, consulting firms, and even government systems. The conversation kicks off with Vincent, Kevin, and Jason covering traditional rollup models from a pre-AI world. With original investment theses centered primarily around centralizing back office tasks and bringing incremental improvements to functions such marketing and IT, Gen AI is now lowering integration costs and accelerating system migrations in ways that reshape the calculus entirely. From deconstructing tech debt to reinventing customer acquisition and marketing, the trio tackles big questions. Are legacy systems now strategic assets? What does risk management look like in the AI era? And is consulting still defensible when information advantage erodes? Whether you're a CEO navigating digital transformation or a strategist rethinking your M&A lens, this episode offers a thought-provoking look into the tools, tactics, and mindsets required to lead in the AI-powered future. — Quotes “If things are cleaned up and there is less technical debt, then there's going to be opportunities to do things you wouldn’t have done otherwise because it would’ve been too costly.” – Jason Goth “We’ve always onboarded customers this way, but do we need to anymore? The companies that will win are those questioning what’s possible and willing to rethink.” – Kevin Erickson “You don’t need a 100% accuracy guarantee. What you need is a reserve model and a willingness to accept some errors because being too risk-averse is costing you money.” – Vincent Yates — Time Stamps 00:00 Intro 00:55 Centralizing service businesses pre-AI 05:45 Where to consolidate first? 12:30 How does the landscape look now with AI? 20:35 The customer acquisition process is changing 24:45 Removing legacy roadblocks to upgrade systems 30:45 Balancing risk and efficiency 37:55 Reimagining what you thought was possible 41:10 Applying this lens of retooling at the societal level 45:00 Facing the new shift in consulting 49:40 CEOs’ adoption of AI 53:50 Wrapping up — Links  Connect with the hosts on LinkedIn! Vincent Yates Jason Goth Kevin Erickson Learn more about Credera

    1h 2m

  7. 11 JUN

    How Bold Leadership Fuels Success in the AI Era | Pure Signal Ep. 02

    Today on Pure Signal, Vincent, Jason, and Kevin tackle one of the most fundamental questions when looking at today’s technological landscape:  What do companies actually believe? In a wide-ranging conversation that spans from post-war industrial America to the Gen AI frontier, the team explores how implicit belief systems, not mission statements, are truly driving corporate behavior. From Bell Labs and Silicon Valley's shifting ethos to the rise of bold, founder-led companies, the discussion reveals why full neutrality is an impossible hill to stand on. As generative AI begins to reshape not just how companies operate but what they stand for, this episode offers a timely look at why leadership, taste, and strategic conviction are more critical than ever. Whether you're leading or building an organization, this conversation will challenge how you think about purpose, performance, and the future of AI-led business. — Quotes “AI is going to force organizations to define their taste. How they want to sound, look, and operate. You can’t outsource that to a committee. CEOs will have to make bold, unpopular decisions, and that requires a core belief system that doesn’t wobble with the wind.” – Vincent Yates “I don’t think purpose is just about profits, but I also don’t buy into the idea that stakeholder capitalism alone creates value. The companies that last are the ones that tie employee experience and customer value into a shared mission. That’s where you find real nobility in work.” – Kevin Erickson “The most successful companies I’ve seen rally around a clear mission. Something bigger than just making money. That sense of purpose drives innovation and attracts people who actually want to build. It’s not about marketing spin; it’s about having something real to stand behind.” – Jason Goth — Time Stamps 00:00 Intro 01:00 Defining the true beliefs of organizations amidst global turbulence 02:45 Shifting priorities of Silicon Valley companies 06:25 How beliefs create a value prop for employees 08:55 Bell Labs case study11:20 The role of mission-driven innovation in business success 13:10 What companies can learn from a united past 17:15 What gives people purpose? 20:40 Why companies are choosing to stay private 23:55 How are CEOs winning loyalty? 35:30 The importance of defining your company's purpose 36:25 How do you define your company mission? 38:15 How will AI affect company core values? 39:20 The aesthetics of AI 51:10 Where does AI fit in your organization? 52:25 The Corporate AI Mandate  — Links  Connect with the hosts on LinkedIn! Vincent Yates Jason Goth Kevin Erickson Learn more about Credera

    57 min
  8. Four Technology Shifts That Matter Right Now | Pure Signal Ep. 01

    28 MAY

    Four Technology Shifts That Matter Right Now | Pure Signal Ep. 01

    Today on Pure Signal—our first episode since rebranding from Technology Tangents—the team dives into the major shifts reshaping the tech landscape. Vincent, Jason, and Kevin break down everything from crypto M&A and evolving tech policy to rapid AI advancements and the growing crisis in energy infrastructure. As these forces converge, they explore what it means for businesses facing an increasingly volatile environment—and why adaptability, foundational tech, and clear strategic vision are more essential than ever. With AI’s insatiable demand for power testing infrastructure limits, the need for innovative, future-ready solutions is front and center. If you’re looking to cut through the noise and stay ahead of what’s really driving tech forward, this episode is your starting point.

    1 hr
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About

Businesses are transforming at a breakneck pace. Leaders need to know the latest, but more importantly they need to understand which developments actually matter (and which don’t). Kevin Erickson, Jake Carter, and Ryan Medellin have brought their combined expertise to companies ranging from the Fortune 100 to innovative startups. Together they’re digesting the biggest developments in tech, data, AI, and beyond to bring you the strategy-focused insights you need to position your business for an unpredictable future. This is Pure Signal. Brought to you by the experts at Credera.

Information

  • Creator
    Pure Signal
  • Years Active
    2022 - 2025
  • Episodes
    53
  • Rating
    Clean
  • Copyright
    © Pure Signal
  • Show Website
    Pure Signal