Hello - For an upcoming Computerworld podcast episode, I would like to propose a conversation with Gary Specter, CEO of Simpro Group (SaaS for the trades - think electricians, plumbers, construction work, etc.). Gary can speak about the ways AI is working to transform the field service and trade industries - sectors that touch us all but are often overlooked in tech coverage. The field service industry is poised for massive disruption, as the majority owners - mom and pop shops and small, local or regional businesses - adopt technology, many for the first time. Gary, a seasoned executive leading digital innovation at Simpro Group, can speak to how AI promises to not only optimize operations but also reshape the workforce and customer experience across the industry. The field service industry is facing a critical labor shortage. At the same time, AI is introducing tools that make these jobs smarter, safer, and more appealing to a new generation of workers. This convergence presents a rare opportunity to rebrand the trades as high-tech, high-impact careers. Possible topics to explore: AI as a Talent Magnet for Gen Z: * How AI-powered diagnostics, scheduling, and augmented reality tools are making trade jobs more attractive to younger, tech-savvy workers. * The potential for AI to help close the skilled labor gap by modernizing the image of the trades. Smarter Tools for Smarter Work: * Real-world examples of how AI is enabling predictive maintenance, automating workflows, and enhancing safety in the field. * The shift from reactive to proactive service models, and what that means for customers. The Field Service Industry as AI's Next Frontier: * Why field service is one of the most promising sectors for positive AI disruption. * Insights from Gary Specter on how companies can embrace this change to scale operations and improve customer satisfaction. IT leaders, operations executives, and business decision-makers interested in the intersection of AI, workforce transformation, and industry modernization will be interested in this content, as well as all of us who will be positively impacted by the digital transformation poised to take hold in the trades. Thanks for your consideration! Andrea
Principal & Senior IT Architect at GO Technology Group Managed IT Services
Answered 8 months ago
Hello, I'm reaching out in response to your request for podcast guest/topic pitches on Featured. As the founder and Principal IT Architect at GO Technology Group—a managed IT services provider in Chicago—I've had a front-row seat to how generative AI and emerging technologies are actively reshaping the business technology landscape. One area I'm particularly well-positioned to speak on is how AI tools are disrupting IT operations, client expectations, and the workforce itself, especially in mid-market environments. From automation in support workflows to the growing gap between AI adoption and cybersecurity readiness, these shifts are happening in real time. I'd be happy to offer insights on: - How generative AI is streamlining (and sometimes straining) IT support functions - The risk of "shadow AI" use across business teams without proper controls - The evolving skills gap and what IT leaders are doing to retool their teams - Real-world observations from businesses navigating this transformation—not tied to any product or service I approach this conversation from the perspective of a systems thinker and advisor, with over two decades of hands-on experience supporting businesses through change. If this aligns with an upcoming episode or editorial focus, I'd welcome the opportunity to contribute. Thank you for considering. Best regards, John Marta Founder & Principal IT Architect GO Technology Group gochicagoit.com
Hello, and thank you for reaching out with such an exciting opportunity. I'm Karthik Mahalingam, a passionate advocate for the intersection between AI technology and privacy engineering. Currently, I serve as a Technical Program Manager at Amazon, where my role allows me to dive deep into both AI advancements and privacy safeguards. Reflecting on my journey in the tech industry spanning over 17 years, I've witnessed firsthand how AI is dramatically transforming business landscapes. One of the most rewarding experiences was leading the integration of privacy safeguards into Rufus, Amazon's AI-powered conversational shopping assistant. This initiative not only enhanced our customer interactions but also significantly bolstered trust by ensuring robust data protection measures. It's projects like this where the real magic happens--when you see technology working seamlessly while respecting user privacy. More recently, I've been focused on AI governance and risk management with a keen eye on generative AI's potential. Imagine the strides we could make by harnessing AI's capabilities to predict and mitigate privacy and security risks before they manifest. This isn't science fiction; it's the path we're paving at Amazon, particularly within systems like Alexa Shopping, where we've streamlined processes to protect user data while remaining compliant with regulations like GDPR. But beyond the technicalities, I hold a passion for mentoring budding professionals in privacy and security. I'm driven by the thrill of taking something complex and making it simple and accessible for others. A recent mentoring success story involves guiding a team of engineers through the intricacies of developing RESTful APIs that redefined privacy compliance protocols--bringing theory to applied knowledge that made a real difference. What truly fascinates me about the future of AI is not just the technology itself but the ethical frameworks we build around it. It's about pioneering solutions that drive innovation while securing the trust of those who use our products. In podcasts, I enjoy sharing these narratives, discussing not just the why's and how's, but the stories that humanize this technology journey. I would love the chance to delve into these topics further on your podcast, offering insights drawn from a well-rounded professional background and a personal commitment to shaping a future where AI and privacy coexist harmoniously.
From my work with 20,000+ AI developers at Unity and now at PlayAbly.AI, I've witnessed the evolution of AI in e-commerce and can share concrete examples of both successes and failures in AI implementation. I could discuss how we're seeing unexpected trends in AI adoption, like how smaller retailers are using AI for inventory prediction more effectively than major chains, and share insights about where I believe the real opportunities lie beyond the obvious chatbot applications.
As someone deep in the AI video generation space, I can share firsthand how we're using AI to transform sports and entertainment content creation, including our work with NBA teams that's generated over 200M views. I'd be excited to discuss the technical challenges we've overcome, like maintaining visual consistency across video transformations, and explore broader implications for creative industries - both the incredible opportunities and important ethical considerations.
I'd be happy to discuss how AI is changing retail real estate, drawing from our work where we've evaluated over 800 locations during bankruptcy auctions and open uped $1.6M in cash flow for retailers. The intersection of machine learning and brick-and-mortar retail offers fascinating insights beyond the typical "AI will replace jobs" narrative. What's particularly interesting is how AI bridges the physical/digital divide in retail. During Party City's bankruptcy, we helped clients secure 20 prime locations by processing complex demographic, traffic, and cannibalization data in 72 hours - work that would take teams weeks. This speed advantage is creating a new competitive landscape where smaller retailers can make data-driven decisions previously available only to giants. I could discuss how retailers are using AI to fight back against e-commerce dominance. Traditional retail isn't dying - it's evolving. Companies like JP Morgan Chase are expanding physical locations while using predictive intelligence to transform real estate from a liability into a strategic asset with 40% shorter payback periods. From my perspective as both a retail insider (worked in my family's retail business before founding GrowthFactor) and an AI entrepreneur, I see retailers hitting growth ceilings around 50 locations when their manual processes collapse under scale. This creates fascinating dynamics around why some retail brands break through while others stall completely.
As an online reputation management expert, I've seen AI completely transform how people and businesses are perceived online. My work removing negative content has given me a unique perspective on "digital identity in the AI era" - a topic I believe your podcast audience would find valuable. AI-driven search algorithms are increasingly determining which content gets seen first. In my experience, 85% of users never scroll past the first page of search results, making these AI gatekeepers incredibly powerful in shaping public perception. The rise of deepfakes and AI-generated disinformation presents unprecedented reputation challenges. Only 26% of Americans feel confident in their ability to recognize fake news, and with generative AI tools becoming more accessible, this problem is intensifying. The most overlooked aspect is how structured data (schema markup) impacts how AI interprets and presents your digital identity. We've seen businesses completely transform their online presence not through traditional SEO, but by speaking the language AI understands through proper data structuring.
I get invited to about 30 podcasts a year to talk AI trends, agents and the future of intelligent systems. I've been in machine learning since 2008 and always tailor the conversation to the audience whether they're technical, strategic, or just AI-curious. I've had 4 exits as a founder and have several patents. Finally, I have already spoken at two AI conferences this year. If you need practical insights with a bit of edge, I'm your guest.
As someone who's built AI systems for nonprofits that increased donations by 700%, I've observed a fascinating "trust paradox" in AI adoption. Organizations are hesitant to trust AI with donor relationships, yet our data shows personalized AI communications actually strengthen human connections when properly implemented. What's rarely discussed is how AI is redefining fundraising economics. We've helped organizations achieve an 1800% growth in online following without increasing ad spend by using AI to identify micro-communities of potential donors previously invisible to traditional marketing approaches. I'm particularly interested in discussing ethical AI frameworks for mission-driven organizations. The question isn't just about efficiency gains but how AI can amplify genuine impact storytelling while maintaining authenticity. We've developed protocols where AI improves rather than replaces the human elements that drive emotional connection to causes. The most transformative AI applications we've seen aren't the flashiest - they're the ones that eliminate administrative burdens. For example, we built systems that automate donor journey orchestration across multiple channels, freeing staff to focus on meaningful relationship-building while still delivering personalized experiences at scale.
I've been developing custom GPTs and AI workflows for marketing agencies for over 20 years, and I'm seeing three underreported disruptions that would make compelling podcast discussions. **The Custom GPT Revolution in B2B**: Most AI coverage focuses on ChatGPT, but businesses building proprietary GPTs are seeing massive competitive advantages. I've helped agencies create custom GPTs that know their client's brand voice, industry regulations, and historical campaign data. One agency reduced client approval cycles from 5 days to same-day because their custom GPT already understood the client's preferences and compliance requirements. **AI-Human Creative Handoff Strategies**: The real story isn't AI replacing creatives—it's the emergence of new hybrid workflows. My agencies use AI for research and first drafts, then human strategists focus purely on relationship building and creative direction. This workflow redesign increased content output by 300% while improving client satisfaction scores because humans spent more time on strategy instead of execution grunt work. **The LinkedIn Automation Backlash Effect**: While everyone discusses AI social media tools, the bigger trend is platforms fighting back with detection algorithms. Companies succeeding now use AI for content planning and audience research, but keep human authenticity in actual posting and engagement. This approach maintains platform compliance while still gaining AI efficiency benefits.
As a technology broker working with over 350 cloud providers and tech leaders across industries, I've observed how AI is reshaping digital change strategies beyond the hype. The most pressing issue for mid-market companies isn't implementing AI itself, but building the proper cloud and network infrastructure to support these initiatives. One interesting trend I'm seeing is how cybersecurity and AI are becoming increasingly interconnected. From our work with financial services and healthcare clients, organizations implementing AI must simultaneously strengthen their security posture - AI initiatives without proper security frameworks are creating significant vulnerabilities that ransomware attackers are exploiting. The talent gap in implementing these technologies presents another compelling podcast topic. Our State of Disruption research shows 69% of tech leaders fear a security breach could cost them their job, yet only 34% feel their internal teams are qualified to manage their full IT infrastructure. This creates a fascinating dynamic where organizations must balance innovation with security risk. I could share real-world examples of how companies are consolidating their tech stacks to build AI-ready infrastructure while maintaining security posture - a critical balance many organizations are struggling to achieve. The intersection of SASE networks, edge computing, and AI represents the next major shift in enterprise technology architecture that few leaders are adequately prepared for.
I bring over 20 years of hands-on experience mergin traditional SEO with AI-driven strategies that havepowered $50M in online sales. My work shows that genrative AI isn't just a buzzword—it's reshaping how w craft content and engage customers. I'd love to discuss how AI's evoluion is revolutionizing workflow efficiency and creatve marketing, based on real-world results from scalig businesses and helping 700+ entrepreneurs. This coversation isn't about selling a product; it's a deepdive into technology's transformative impact on busiess strategy and direct marketing.
I've been running AI-powered marketing automation for 16 years and can offer some contrasting perspectives on where AI implementation actually succeeds versus the headline-grabbing failures. **The Professional Services AI Blind Spot**: Most coverage focuses on creative industries, but professional services firms are quietly revolutionizing client delivery. In my work with accounting and finance firms, I've seen AI reduce client onboarding from 3 weeks to 3 days by automating document processing and compliance checks. These firms doubled their client capacity without hiring additional staff. **The Automation-First Strategy Gap**: While everyone talks about AI replacing jobs, the real disruption is in workflow redesign. My agency hit growth ceilings every few years until we built our own CRM automation systems in 2024. We doubled content output with the same team size by automating the research and first-draft phases, not the strategy or client relationship parts. **Voice Search Optimization Reality**: The business impact of conversational AI goes beyond chatbots. Companies adapting their content strategy for voice search patterns are seeing 40% increases in qualified leads because they're answering questions the way people actually ask them, not how they type them into Google.
As the co-founder of a stealth AI startup in real estate, I've been leading the revolution of how AI is changing commercial real estate underwriting - one of the most calculation-intensive, spreadsheet-dependent fields that existed largely unchanged for decades. The transition from 5-hour manual spreadsheet processes to 5-minute automated analyses represents a fundamental shift in how an entire industry operates. What fascinates me is how AI adoption cascades through traditional industries. Our data shows 75% of leading US brokerages now use AI daily, while Colliers reports 59% of global CRE leaders plan to make AI a daily tool within a year. This creates a compelling "technology adoption wave" phenomenon where laggards suddenly face existential pressure. The most overlooked aspect of AI disruption is the human judgment equation. In our case, we've found the sweet spot isn't replacing analysts but dramatically shifting where they spend their time - from data entry and formula checking to strategic decision-making and relationship building. This creates measurable business outcomes: our users process 10x more deals weekly with 98% time savings. I'd love to discuss how AI is redrawing the lines between automation and human expertise across industries, particularly in fields where spreadsheets have dominated for generations. Having seen this change from both big tech (Qualcomm, Cisco) and now as a founder building AI tools, I bring a unique perspective on when automation augments versus replaces human roles.
As a digital marketing agency owner since 2002, I've witnessed AI's change of marketing analytics from basic reporting to predictive modeling that forecasts campaign performance with remarkable accuracy. This shift isn't just technical—it's creating new ethical considerations around data usage and consumer privacy that business leaders must steer. When implementing AI tools for client SEO strategies, we've seen 40-60% reductions in content production time while maintaining quality, completely reshaping resource allocation. The most fascinating evolution isn't the technology itself but how it's changing marketing team structures, with traditional roles becoming hybrid positions requiring both creative and analytical skills. One overlooked topic worth exploring is "AI adoption asymmetry" across industries. In our gaming industry work, AI adoption for personalization happens rapidly, while other sectors like local services experience significant implementation barriers. This creates competitive imbalances worth examining through the lens of market dynamics and business strategy. Having built community websites like FamilyFun.Vegas, I've seen how AI tools are democratizing digital publishing for small players while simultaneously making findability more challenging as larger players leverage more sophisticated AI systems. This tension between accessibility and advantage is reshaping digital business ecosystems in ways most discussions miss.
Hello - I'd like to put forward Michael King, Founder & CEO of SEO marketing agency iPUllRank for this opportunity. Michael can discuss how AI (specifically Google AI overviews / AI Mode), has disrupted not only the SEO industry, but anyone who is reliant on traditional search methods. E.g. loss of click through rates and traffic, the move by google towards ai agents and hyperpersonalised search experiences. He can also explain ways in which brands or other SEOs can keep ahead of the curb remain relevant in the new AI driven climate.
I've been launching tech products for Fortune 500s and startups for over two decades, and there's a massive blind spot in AI discussions that's costing companies millions. **The Brand Dilution Crisis**: Everyone focuses on AI efficiency gains, but nobody talks about how generic AI implementations are destroying brand differentiation. When I launched Robosen's Optimus Prime robot, we generated over 300 million impressions precisely because we avoided commoditized AI approaches. The robot's personality-driven AI made it feel authentically Transformers, not just another smart toy. **The Customer Experience Authenticity Gap**: Most AI coverage ignores how consumers can instantly detect soulless automation. During our HTC Vive campaigns, we learned that successful AI integration requires what I call "invisible intelligence"—technology that improves human connection rather than replacing it. The brands winning with AI are those making it feel more personal, not more robotic. **The Premium Positioning Paradox**: While competitors race to the bottom with AI cost-cutting, smart brands use AI to justify higher prices. Our Robosen launches succeeded because AI enabled unprecedented interactivity that customers happily paid $700+ for. The real AI disruption isn't cheaper products—it's creating entirely new value propositions that command premium pricing.
Yes AI is disrupting the way we work. However, more notably, it's rewriting the very architecture underneath it. Most businesses are still trying to automate tasks, but the real shift is in how systems learn, adapt, and make design decisions at scale. We're moving beyond building solutions. With AI, we're training them.
I've spent 30 years watching CRM evolve, and what I'm seeing with AI in business tech is fascinating - particularly the gap between hype and reality. In our Microsoft Dynamics CRM implementations, we've found most clients who initially acceptd AI tools quickly disabled them due to poor results and privacy concerns. The real AI disruption isn't what vendors are selling - it's how businesses must fundamentally rethink data governance. When implementing CRM for government departments and member associations, I've seen organizations struggle with data quality issues that completely undermine AI effectiveness. One state government client finded their AI-powered customer service tools were making recommendations based on outdated information, causing more problems than solutions. Beyond the technical challenges, there's a human element nobody's talking about. In our work with membership organizations across Australia, we've finded that pushing AI too aggressively creates intense employee resistance. Staff concerns about job security and privacy lead to deliberate data sabotage that renders the AI useless. I'd love to discuss the uncomfortable truth that most businesses aren't ready for AI implementation - not because the technology isn't powerful, but because their organizational foundations aren't prepared. From rescue projects where we've fixed failed CRM implementations, I can provide a realistic perspective on what makes AI initiatives succeed or fail in the real world.
As someone who's worked directly with AI integration at companies like Intel and several Silicon Valley startups, I've witnessed how AI is changing the SEO landscape beyond just content generation. One particularly fascinating trend is the evolution of search behavior itself - users are now asking more complex, conversational queries that traditional keyword strategies can't address. When consulting for a luxury retail client (Louis Vuitton), we implemented an AI-driven semantic search analysis that identified patterns in how high-net-worth individuals researched premium products. This approach revealed unexpected entry points to their customer journey that competitors had completely missed, leading to a significant competitive advantage. The most overlooked AI disruption I'm seeing in San Francisco's tech ecosystem is happening at the intersection of local search and AI-improved business intelligence. Small businesses are gaining access to customer insights previously available only to enterprises with massive data science teams. This democratization is creating fascinating new business models built entirely around hyperlocal AI applications. For podcast content, I'd suggest exploring how generative AI is impacting trust signals in digital marketing - particularly how the flood of AI content is forcing search engines to develop more sophisticated E-A-T verification methods. This shift is fundamentally changing how businesses need to approach authority building online, especially for specialized industries like healthcare and finance.