AI Insights: The Executive Brief

In Episode 32 of AI Insights: The Executive Brief host Benjamin Bohman with Hani ElGebaly, founder and CEO of AvidBeam Technologies, to explore the cutting-edge world of AI-powered video analytics. Discover how Avid Beam is revolutionizing industries with computer vision—shifting from traditional surveillance to actionable business intelligence and safety solutions. Hani shares his journey from Intel to founding Avid Beam, the challenges of scaling AI, and the exciting possibilities of combining computer vision with generative AI. Whether you’re interested in smart cities, retail insights, or the future of video analytics, this episode offers thought-provoking insights into the transformative potential of AI. 👀 Watch now and join the conversation with Ben Bohman and Hany Elgwali! Full Episode:https://lnkd.in/gz24PYXd 🔥 Key Topics Covered: • How AI is transforming video analytics • Real-world use cases in smart cities, safety, and retail • Scaling AI solutions for real-time video processing • The future of computer vision with generative AI 📢 Hashtags: #AIInsights #BenBohman #VideoAnalytics #ComputerVision #SmartCities #GenerativeAI #BusinessIntelligence #AvidBeam #AIApplications

Episode 32 of AI Insights: The Executive Brief is live! In this episode, I sit down with Jason Hart, Managing Partner at ARG - IT Clarity, to discuss AI inflection points and their transformative impact on technology and business. From his early days at CDW to spearheading innovative AI and cloud solutions for enterprises and SMBs, Jason shares a wealth of insights and real-world applications of AI. 💡 What we cover: • The evolution of cloud computing and its parallels with AI adoption. • How businesses can bridge data silos for real-time insights. • The critical role of AI in enabling smarter decision-making and scaling innovation. Whether you’re leading a tech strategy, exploring AI adoption, or just curious about how AI is reshaping industries, this episode is packed with actionable advice and thought leadership. 👉 Don’t miss it! Watch the full episode here: https://lnkd.in/gkNuVFSq Let’s shape the future of AI together. What’s your biggest takeaway from the current AI revolution? Share your thoughts below! 💬 #AIInsights #TechnologyLeadership #AIInBusiness #InnovationInTech #DigitalTransformation #AIInflectionPoints #FutureOfAI

🚀 Episode 31 of AI Insights: The Executive Brief is here! 🎙️ In this episode, Ben sits down with Kathleen Hurley, MBA, founder of Sage Inc., a company redefining how small and mid-sized businesses approach technology. Kate shares her incredible journey from a bookworm with aspirations of teaching to becoming a thought leader in technology and AI for SMBs. Discover how Kate is using automation and AI to simplify cybersecurity, regulatory compliance, and business operations—all while keeping humanity at the core of innovation. Her insights into making complex tech accessible and her passion for empowering SMBs are truly inspiring! 🎧 Tune in to hear about: ✅ The human side of technology and AI ✅ Empowering SMBs with tailored tech solutions ✅ How AI and automation create real business impact 👉 Watch now: https://lnkd.in/g25SshR6 Follow Sage Inc: https://lnkd.in/grAZGKFB #AIInsights #Podcast #Episode31 #SmallBusiness #AIInBusiness #Automation #Cybersecurity

5-step guide to train your employees to use AI: 𝗦𝘁𝗲𝗽 𝟭: 𝗣𝗿𝗼𝘃𝗶𝗱𝗲 𝗾𝘂𝗮𝗹𝗶𝘁𝘆 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 Set up hands-on sessions to teach the basics of AI. Employees need to know how AI works and how to use it in their tasks. Clear training helps them feel comfortable with the tools. 𝗦𝘁𝗲𝗽 𝟮: 𝗔𝘀𝘀𝗶𝗴𝗻 𝘀𝗽𝗲𝗰𝗶𝗳𝗶𝗰 𝘁𝗮𝘀𝗸𝘀 Give employees simple tasks to show how AI can help them. For example, have them use AI to create reports or answer common customer questions. These tasks make it easy to see its value in daily work. 𝗦𝘁𝗲𝗽 𝟯: 𝗛𝗶𝗿𝗲 𝗮𝗻 𝗔𝗜 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗲𝘅𝗽𝗲𝗿𝘁 Bring in an expert to guide the setup. They can solve problems, adjust tools to fit your business, and make sure AI works smoothly. 𝗦𝘁𝗲𝗽 𝟰: 𝗦𝘁𝗮𝗿𝘁 𝘀𝗺𝗮𝗹𝗹 𝘄𝗶𝘁𝗵 𝗽𝗶𝗹𝗼𝘁 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 Begin with a small task or one department. This helps employees get used to AI without too much pressure. They also let you see what works and what doesn’t before using AI across the business. 𝗦𝘁𝗲𝗽 𝟱: 𝗘𝗻𝗰𝗼𝘂𝗿𝗮𝗴𝗲 𝗰𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗳𝗲𝗲𝗱𝗯𝗮𝗰𝗸 AI tools keep changing, so employees need to keep learning. Provide chances to refresh their skills. Ask for feedback to improve both training and how AI is used. Regular learning keeps things on track. If you’re looking for help on this, DM me.

Watch below as my AI Avatar introduces episode 30 of AI Insights: The Executive Brief, we sit down with Neil Cresswell, Co-Founder, CTO, and CEO of Portainer.io. Neil shares how Portainer simplifies the complexities of Kubernetes and Docker to make container management more secure and accessible for businesses. Discover how AI is transforming the containerization landscape, the evolution of Portainer’s security protocols, and the future of technology in enterprise environments. This discussion dives into practical solutions for adopting AI within container management to boost efficiency, automation, and security. Full Episode Here: https://lnkd.in/gyxHPWAt 👉 Learn more about the benefits of containerization in AI workflows, get expert advice on managing Kubernetes and Docker, and hear Neil’s unique insights into technology adoption and global operations. Timestamps: 0:00 - Introduction 1:15 - Neil Cresswell’s journey in tech 5:30 - The role of Portainer in container management 12:40 - Securing Kubernetes & Docker environments 20:00 - AI and automation in container management 32:15 - The future of containerization and business applications Watch now to learn how Portainer.io is bridging the gap between complex technology and accessible solutions for all businesses! Tags: AI in container management, Neil Cresswell, Kubernetes for business, Docker management, AI in Kubernetes, Portainer.io, AI automation, container security, business technology adoption, AI-driven efficiency Hashtags: #AIInsights #Kubernetes #Docker #Portainer #NeilCresswell #BusinessTech #AIinBusiness #ContainerManagement #TechInnovation #AITechnology #BusinessAutomation #Cybersecurity

Many founders make the mistake of diving headfirst into AI with huge projects. They expect AI to take over large parts of their business right away. It’s like they want AI to run the business instead of them. This approach often wastes time and money and brings tons of frustration. The companies that succeed with AI integration often start small. They pick one area where AI can make a quick impact and focus on that. Once they see results, they build from there, step by step. Small wins build confidence and show how AI can fit into the bigger picture. AI integration isn’t about doing everything at once. It’s about making progress one piece at a time. Start small, adjust and then delegate. Without a proper foundation, your AI efforts will crush miserably. Want to build one? DM me.

🌐 Watch as one of Ben's AI Avatars introduces Episode 26 of AI Insights: The Executive Brief, Benjamin Bohman sits down with Patricia Bradby Moore, Senior Manager of Innovation Programs at Boomi. Full Episode here: https://lnkd.in/dES5HHmG Together, they explore how AI and strategic innovation are reshaping data management and connectivity, touching on everything from Boomi’s mission to AI’s role in bridging data gaps for businesses worldwide. Patricia shares insights from her journey into tech and how Boomi is setting new standards in data integration and automation. Tune in to learn how AI and automation are unlocking new potential for companies and what the future of business technology holds! 💡 #Innovation #AI #Boomi #AIInsights #ExecutiveBrief #PatriciaMoore #DataManagement #Automation #Connectivity #BusinessTechnology #DataIntegration #DigitalTransformation #TechLeadership Tags: Boomi, Patricia Moore, Ben Bohman, AI Insights, innovation programs, data management, data integration, automation, connectivity, tech interview, business technology, digital transformation, AI in business, artificial intelligence, tech innovation, AI insights

Is ChatGPT the Peak of the AI World? Nowadays, people make the mistake of assuming AI is all about ChatGPT. It has even become synonymous with AI itself. But what most people fail to realize is that ChatGPT is just a large language model (LLM). But AI isn’t limited to that. Like any business, the more specialized an AI model is, the more accurate its results will be. If you’ve heard of Stockfish—the world’s best chess engine—you understand that AI can be much more than LLMs. Everyone treats ChatGPT like a supermarket where everything is available. But AI can also be specialized solutions from AI vendors that outperform in niche tasks. 3 reasons why I think like that: 𝟭. 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗲𝗱 𝗔𝗜 𝘃𝗲𝗻𝗱𝗼𝗿𝘀 𝗽𝗿𝗼𝘃𝗶𝗱𝗲 𝗺𝗼𝗿𝗲 𝗮𝗰𝗰𝘂𝗿𝗮𝘁𝗲 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 Since ChatGPT has access to a wide variety of content, its results can be off. That's one reason it fails at basic mathematics. In contrast, AI vendors offering specialized solutions have specific knowledge bases and models tailored to your needs. They provide precise answers based on focused data relevant to your industry. Without specialization, results can miss the mark. 𝟮. 𝗥𝘂𝗹𝗲-𝗯𝗮𝘀𝗲𝗱 𝗿𝗲𝘀𝘂𝗹𝘁𝘀 My clients who have worked with specialized AI vendors find them more satisfactory than ChatGPT. Because the solutions follow predefined rules. If something doesn’t fit within AI's knowledge base, they won't give you a vague answer. But ChatGPT doesn't hesitate to spit out wrong answers. 𝟯. 𝗧𝗿𝗮𝗶𝗻𝗮𝗯𝗹𝗲 𝗮𝗻𝗱 𝗰𝘂𝘀𝘁𝗼𝗺𝗶𝘇𝗮𝗯𝗹𝗲 Just like a growing business trains its employees, AI solutions from vendors should be trainable. But LLMs like ChatGPT don’t allow much customization without hefty fees. Whereas Specialized AI vendors offer systems you can train and adjust according to your business needs. Customization makes AI truly work for you. PS. For more tips on practical AI applications for your business, follow Benjamin Bohman.

Using a new AI Avatar with for this introduction of episode 28 of AI Insights: The Executive Brief, where Benjamin Bohman sits down with Crystal Taggart, MBA, a third-generation technologist with nearly three decades of experience. Crystal breaks down her journey from CTO to AI innovator and even shares a live demo of her AI in action. Learn how she’s automating workflows, building AI-driven courses, and reshaping the product management landscape. Don’t miss this insightful conversation full of practical advice and tech breakthroughs! #AI #ProductManagement #TechInnovation #AIinBusiness #WorkflowAutomation #LiveAIDemo #CrystalTaggart #AIInsights #ExecutiveBrief #AItools #DigitalTransformation

Over a year into retirement, and I finally realized I should probably update my LinkedIn profile! I knew retirement would be fun and I wouldn't be bored, but I didn't think social media would take such a backseat. Lately, I’ve seen many of my Intel friends & colleagues “retiring/leaving” and their updates inspired me to dive back into providing a few updates! In the coming days, I’ll be sharing some highlights from my retirement adventures (e.g. 25 Ski days, 3 months in Europe, joined the board of an IOT Security StartUp). Opposing Opinion: My wife might argue I haven’t had a free minute since the "HoneyDo List" hasn't been touched. 😁 Recently, I recorded a video with Benjamin Bohman discussing various topics, including one of my favorites: Computer Vision. Take a look - it was a fun discussion and of course let me know what you think. Post a comment on Benjamin's page!