Agile Updates vs Real Progress? Prashanth Tondapu explains why many Agile teams sound productive but deliver nothing. In scrum meetings, updates feel believable, not provable — with optimism replacing visible progress and transparency. A hard truth about Agile delivery and engineering execution. Have you seen real progress—or just updates? #Agile…
Therapists Often Dislike the PHQ-9 Loren Larsen explains why traditional mental health questionnaires like PHQ-9 fall short. Scores lack context, narrative, and real patient insight — and AI-driven mental health conversations may finally improve clinical care and patient experience. Would this change mental health care? #MentalHealth #HealthcareAI #DigitalHealth #PatientExperience #BehavioralHealth…
Why do smart engineering teams miss deadlines, struggle with alignment, and fail at real software delivery, even when everyone is talented and working hard? In this episode of An Hour of Innovation podcast, Vit Lyoshin sits down with Prashanth Tondapu, the CEO of InnoStacks, to unpack why intelligence alone doesn’t…
AI Won’t Replace Doctors AI frees doctors to focus on patients. Loren Larsen explains why AI or artificial intelligence in healthcare isn’t replacing doctors — it’s removing administrative burden so providers can spend more time with patients. A human-centered view of healthcare AI, medical automation, patient experience, human connection, doctor…
Loren Larsen explains why patients often say “I’m fine” when they’re not. In mental health care, people hide pain to please therapists and avoid feeling like they failed treatment — a powerful insight into behavioral health, patient honesty, and care outcomes. This changes how we listen. It highlights a unique…
Most AI Is Bad? Loren Larsen explains why most AI products are poorly built — rushed to market without proper testing, governance, or safety checks. As AI adoption accelerates, bad AI often looks indistinguishable from responsible AI, creating serious trust and safety risks. Can you tell good AI from bad?…
Why Artificial intelligence (AI) Shouldn’t Be Your Therapist? Loren Larsen explains why generative AI should not replace human therapists, especially in high-risk mental health care. He highlights the ethical risks, safety concerns, and limits of mental health AI, reinforcing why human-in-the-loop healthcare still matters. Would you trust AI with therapy?…
Why Patients Tell AI the Truth? Loren Larsen explains why patients open up more to AI than to therapists. Without fear of judgment or social pressure, mental health AI check-ins capture more honest data — reshaping behavioral healthcare, trust, and patient outcomes. Would you trust AI with the truth? #AIinHealthcare…
The Deadliest Moment After Treatment Loren Larsen explains why the most dangerous moment in mental health care happens after treatment ends or hospital discharge, not during it. A critical gap in behavioral health, patient safety, and follow-up care or recovery— and where healthcare AI could make the biggest impact. This…
Be part of the change -- Attitude Beats AI Skills Jay Kiew explains why attitude and adaptability matter more than technical skill in AI jobs and the future of work. In every AI-driven transformation, the people who lean into change move ahead faster than those who resist new tools. To…
Patients often hide how they’re really doing, but when AI listens between visits, the truth finally comes out, reshaping mental health care with empathy and precision. In this episode of An Hour of Innovation podcast, host Vit Lyoshin sits down with Loren Larsen, founder and CEO of Videra Health, to…
The AI Skill Everyone Hates Jay Kiew explains why SOPs and process documentation are the most ignored — and most critical — AI skills. Before AI agents and automation can work, humans must clearly document how work actually gets done. The hidden foundation of successful AI adoption and productivity. Are…
Why Trusting the process sometimes won't work? Jay Kiew explains why leaders shouldn’t blindly trust process during AI-driven change. Real innovation and leadership growth come from sustained effort, not rigid systems. A mindset shift for the future of work and AI leadership. 💬 What’s your take on this? #LeadershipMindset #Innovation…
AI Isn’t the Problem Jay Kiew explains why AI adoption fails due to culture, leadership, and knowledge transfer, not the technology itself. Most enterprise AI struggles come from how organizations capture work and prepare for the future. A reframing of AI transformation and work culture. #AIAdoption #EnterpriseAI #WorkCulture #Leadership #DigitalTransformation…
This is the Skill Matters More in the future. Jay Kiew explains why change fluency is the most critical future skill in the AI era. In a world shaped by AI disruption and automation, the ability to adapt, learn, and turn change into opportunity will define career growth and leadership.…
Jay Kiew explains why AI adoption fails without strategy. Leaders treat AI as a tool instead of solving the real business problem, leading to performative AI and poor results. A clear lesson on AI leadership, AI strategy, and digital transformation. #AIStrategy #AILeadership #AIAdoption #EnterpriseAI #DigitalTransformation #FutureOfWork
What's the truth about AI transformation? Jay Kiew explains why AI adoption exposes broken processes and poor leadership. When companies ask enterprise AI to “do everything,” it doesn’t fix dysfunction — it reveals it. A reality check on AI transformation, AI agents, and organizational readiness. #EnterpriseAI #AIAdoption #DigitalTransformation #Leadership #AIReality…
Do you use AI effectively? Jay Kiew explains why only 10% of employees have real AI skills — building AI agents, automating workflows, and driving business value — while most are stuck using AI for emails and search. A wake-up call on AI jobs, career growth, and the future of…
95% See No AI ROI Jay Kiew explains why 95% of companies see no return on AI investment, according to MIT. Despite massive enterprise AI adoption, most AI initiatives fail due to poor strategy, execution, and unrealistic expectations. A reality check on AI ROI and AI transformation leaders need to…
How AI replaced jobs Jay Kiew explains how Salesforce AI agents outperformed humans in 1.5M customer support conversations, leading to AI automation layoffs and then higher pay and promotions for the remaining workforce. A real example of how AI jobs, automation, and the future of work are changing right now.…
Once content is public, stopping AI from copying it is nearly impossible. Julie explains why AI scraping bypasses paywalls and security, how generative AI models can still train on physical books, and why content ownership and copyright enforcement now depend on proving data provenance after the theft, not trying to…
Most teams adopt AI, expecting a breakthrough, but end up frustrated, disappointed, and wondering what went wrong when productivity doesn’t improve. In this episode of An Hour of Innovation podcast, Vit Lyoshin sits down with Jay Kiew, a globally recognized expert in organizational change and transformation, to unpack why so…
Copyright laws were never designed for machines. This is how AI is exposing broken copyright law! Julie explains why traditional copyright relies on humans, why AI needs machine-readable ownership data, and how this gap allowed Generative AI plagiarism to explode. #AICopyright #ContentOwnership #DigitalRights #AIWriting #FutureOfAI #AI and copyright law
Why Authors Hate Amazon when publishing their books? Publishers never agreed to this! Julie breaks down how turning books into AI chatbots crossed licensing boundaries, why authors pushed back legally, and what this means for AI features built into major platforms like Kindle. #AmazonKindle #AIControversy #BigTech #AuthorRights #PublishingIndustry #Publishing Industry…