Keith W Carpenter
Dallas-Fort Worth Metroplex
7 K urmăritori
Peste 500 de contacte
Despre
With over 15 years of experience spanning Wall Street, Commercial Banking, Airlines and…
Servicii
Articole de Keith W Carpenter
-
Robotic Process Automation: Shepherds Wanted
Robotic Process Automation: Shepherds Wanted
In what now feels like ancient times, I was a Senior in College on an Overseas Study Program in Sydney, Australia. One…
-
Got Hope? 4 tips to boost hope and feel like a kid again
Got Hope? 4 tips to boost hope and feel like a kid again
There was a simple question posed in a very effective milk advertisement years ago;"Got Milk?" Very effective…
2 Comentarii -
In-N-Out Burger's Formula for Success: For ages 3 to 103
In-N-Out Burger's Formula for Success: For ages 3 to 103
My first encounter with In-N-Out Burger was back in 2011, shortly after relocating to Dallas from Metro Detroit. One…
-
Lead by Jumping Into the Fray; Tale of a Cowboy and a Stockbroker
Lead by Jumping Into the Fray; Tale of a Cowboy and a Stockbroker
Leadership by Jumping Into the Fray The single most critical ingredient that the very best mentors, coaches, and…
-
Survival from combat to the board room; How to Figure out "What's your deal?"
Survival from combat to the board room; How to Figure out "What's your deal?"
What's your deal? Quickly determining what our deal is could mean the difference between surviving and not making it…
Activitate
7 K urmăritori
-
Keith W Carpenter a distribuit aceastaA very helpful framework to talk AI with LeadershipKeith W Carpenter a distribuit aceastaWe talk about AI like it’s a flying car. One machine that drives, flies and somehow solves everything. But AI isn’t one thing. It’s a spectrum of vehicles, each optimal for a different job. Many aren’t new. They’ve proved their value and are used reliably by companies every day. Here’s a simple rundown for when you need it: Rules ↳ If this, then that. ↳ Think: basic automation and guardrails. Reliable, but limited. Regression ↳ Finds relationships between variables. ↳ Think: forecasting sales or costs. Simple, steady progress. Machine Learning ↳ Finds patterns in data so you can make better decisions. ↳ Think: customer churn or equipment failure. Natural Language Processing ↳ Lets software read and write like a human. ↳ Think: customer support chat and document search. Computer Vision ↳ Understands images and video. ↳ Think: defects, safety incidents, shelf monitoring. Generative AI ↳ Creates new content. ↳ Think: drafts, ideas, first pass analysis. Agents ↳ Execute tasks end to end. ↳ Think: running routine processes automatically. Multimodal AI ↳ Works across text, images, audio and data. ↳ Think: copilots that can see, read and explain. Agentic AI ↳ Makes decisions and coordinates tools toward a goal. ↳ Think: autonomous operations. Each one moves at a different speed. Each one carries different risk. Each one requires different leadership. The mistake is expecting a plane when you’ve built a bike. Where is your organisation actually travelling right now? ♻️ Repost to help someone understand how AI can transport them. 🔔 Follow Clare Kitching for insights on unlocking value with data & AI. 💎 Get more from me with my free newsletter here: https://lnkd.in/ghBtk6jR
-
Keith W Carpenter a distribuit aceastaKeith W Carpenter a distribuit aceastaGet Complete Set of Cybersecurity Management Templates & Documents at: https://lnkd.in/gxKTjzNP 🏆 Streamline your workflow effortlessly! 🎢 Analyze data with ease! 🎡 Make decisions confidently! Cut Your Task in Half with Ready-Made Templates and Documents. #Cybersecurity #InfoSec #DataSecurity #ISMS #CyberRisk #SecurityPolicies #ComplianceReady #ISO27001 #NISTCyberFramework #CybersecurityTemplates #ITSecurity #GRC #CISO #ThreatIntelligence #RiskManagement
-
Keith W Carpenter a distribuit aceastaA helpful graphic to refer to in planning amd road map workshopsKeith W Carpenter a distribuit aceasta𝐄𝐯𝐞𝐫𝐲𝐨𝐧𝐞 𝐢𝐬 𝐭𝐚𝐥𝐤𝐢𝐧𝐠 𝐚𝐛𝐨𝐮𝐭 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈. But most teams still treat it like a chatbot upgrade. That’s the fastest way to fail. Because Agentic AI is not a “model feature” - it’s a full system made of multiple layers working together. And if even ONE layer is missing… Agents become: ❌ unreliable ❌ unsafe ❌ expensive ❌ impossible to scale 𝐇𝐞𝐫𝐞’𝐬 𝐭𝐡𝐞 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 𝐂𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐆𝐮𝐢𝐝𝐞 — 𝐛𝐫𝐨𝐤𝐞𝐧 𝐢𝐧𝐭𝐨 𝐭𝐡𝐞 𝐬𝐭𝐚𝐜𝐤 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞𝐬 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐧𝐞𝐞𝐝 👇 Level 1 — Model / Infra Layer (Execution Engine) This is the foundation: model hosting, inference, scaling, latency, reliability. Level 2 — Reasoning Layer (Planning + Validation) Where agents think before acting: planning, step decomposition, verification, self-checks. Level 3 — Retrieval / Knowledge Layer (RAG) Where agents pull trusted enterprise context: docs, policies, SOPs, databases, search. Level 4 — Memory Layer (Context + Recall) So agents remember conversations, tasks, history, preferences, and decisions. Level 5 — Tool / Action Layer (APIs + Integrations) Where agents actually DO work: calling tools, using apps, reading/writing systems. Level 6 — Orchestration Layer (Coordination + Workflows) Handles multi-agent systems: coordination, retry logic, step control, fallback routing. Level 7 — Application Layer (Business Workflows) Where it becomes real: CRM, HR, finance, operations — agents embedded into daily work. The pattern is clear: Agentic AI isn’t about building “smart agents”. It’s about building safe systems that can: ✅ reason ✅ retrieve context ✅ use tools ✅ recover from failure ✅ scale across teams If you’re implementing Agentic AI in 2026, learn the stack before choosing the tools. ♻️ Repost this to help your network get started ➕ Follow Prem N. for more
-
Keith W Carpenter a distribuit aceastaKeith W Carpenter a distribuit aceastaMost AI conversations don’t fail because AI is hard. They fail because everyone is using the same words to mean different things. AI. ML. GenAI. Agents. Automation. In most rooms, those words get mixed into one blurry blob. Leadership talks about Agentic AI. Teams hear tools. Reality is still stuck on unclear data, definitions, and ownership. → GenAI isn’t AI → AI isn’t automation → Agents aren’t magic → And none of it works without trusted data and clear decisions I keep seeing organizations jump straight to the outer layers, while the inner ones are still unresolved. So when someone asks, “How do we explain AI to the business?” I usually slow it down. → What decision are we trying to improve? → What data does that decision rely on? → Who owns it when it breaks? → Then we talk models and tools Once the language is clear, the tech conversation gets a lot easier. AI isn’t the confusing part. The terminology is. And when the words are fuzzy, expectations get dangerous. cred: Alex Barády
-
Keith W Carpenter a distribuit aceastaProfound and on target!Keith W Carpenter a distribuit aceastaI don’t know what it is about this Jerry Jones cameo on Landman from Sunday night but everyone who’s seen it has been blown away. I think it’s because he’s talking about his real life, so it goes beyond just spouting dialogue. Look at how Jon Hamm and Billy Bob Thornton play the scene - it’s like they temporarily forgot they’re actors, I think they’re actually affected by his words. Just incredible.
-
Keith W Carpenter a distribuit aceastaPodCast-> The Brutal Truth about Sales & Selling PodCast - on all your favorite PodCast Players
PodCast-> The Brutal Truth about Sales & Selling PodCast - on all your favorite PodCast Players
-
Keith W Carpenter a distribuit aceastaModernization using #designthinkingprocess to solve problems, then leveraging #leanthinking with an #agilemindset while solutioning and deploying enhances value while reducing cost and risk.
-
-
Keith W Carpenter a distribuit aceastaThe perfect Corporate (gag) gift for that special Cyber Security Professional in your life; a Day Planner with space in the back to write in passwords.....sure to trigger high blood pressure (for them) and laughs (for you). #cybersecurity #security #cisolife
-
Keith W Carpenter a apreciat aceastaKeith W Carpenter a apreciat aceastaWe're making warehouse migrations faster and more predictable with Lakebridge’s latest AI-powered updates. See what’s new: ➡️ Synapse support in the assessment profiling tool ➡️ AI-powered SQL conversion ➡️ A guided desktop app that brings assessment, code conversion, and reconciliation into one workflow https://lnkd.in/gCgQd7SG
-
Keith W Carpenter a apreciat aceastaKeith W Carpenter a apreciat aceastaIf you’re new to Claude, start here before typing a single prompt. Most people switch from ChatGPT and immediately start chatting. Big mistake. Claude rewards setup. 30 minutes now = better answers forever. Here’s the 22-step framework I use: 𝗕𝗘𝗙𝗢𝗥𝗘 𝗬𝗢𝗨 𝗧𝗬𝗣𝗘: → Turn on Extended Thinking only when needed → Opus 4.6 for complex task → Sonnet 4.6 for daily task → Open Cowork, NOT a blank chat → Point it to your folder first (most important step!) 𝗕𝗨𝗜𝗟𝗗 𝗬𝗢𝗨𝗥 𝗙𝗢𝗟𝗗𝗘𝗥: → Create “Claude-Work” master folder → Subfolders: ABOUT ME / PROJECTS / TEMPLATES / OUTPUTS 𝗙𝗜𝗟𝗘𝗦 𝗜𝗡𝗦𝗜𝗗𝗘 𝗔𝗕𝗢𝗨𝗧 𝗠𝗘: → about-me.md (what you do day-to-day) → my-voice.md (tone, phrases you hate, 2-3 writing samples) → my-rules.md (ask first, show a plan, never delete without approval) One great file beats 50 random uploads. 𝗠𝗜𝗚𝗥𝗔𝗧𝗜𝗡𝗚 𝗙𝗥𝗢𝗠 𝗖𝗵𝗮𝘁𝗚𝗣𝗧? Export your memory: Settings → Personalization → Memory → Manage → Export. You’ll get a file with everything GPT learned about you. Feed it into your about-me.md. Instant context migration. 𝗦𝗘𝗧 𝗢𝗡𝗖𝗘, 𝗡𝗘𝗩𝗘𝗥 𝗔𝗚𝗔𝗜𝗡: Go to Settings → Cowork → Edit Global Instructions. Paste: “I’m [Name], [Role]. Read my files before every task.” Stop writing long prompts for every task. Set up your workspace. Let Claude do the rest. #ai #claude
-
Keith W Carpenter a apreciat aceastaKeith W Carpenter a apreciat aceastaAI will transform us! Let's move fast! The problem with today’s AI buzz is that boards and management teams are driving their organizations crazy by believing AI is the answer to every problem. Yes, AI can reduce costs by making processes more efficient. Yes, predictive models can improve revenue and customer satisfaction. But here’s the uncomfortable truth: AI will only transform your organization if you invest in a solid foundation You need a business with the right capabilities. You need a scalable platform for data distribution and datamanagement. You need a clear runway for BI, AI, and ML development. And you need a plan to tackle your technical debt. All of this requires significant investment long before you see the prove of impact. It takes time and a lot of hard work, but it’s the only way to create fertile ground for a sustainable, responsible and scalable implementation of AI. Thanks Thomas Nys for the inspiring picture!
-
Keith W Carpenter a apreciat aceastaKeith W Carpenter a apreciat aceasta46% of employees are using AI tools their company never approved. And 32% are not telling anyone. That’s the reality of AI adoption in most organisations right now. Personal AI tools are cheap or free and people are experimenting. Unfortunately, governance hasn’t caught up. The instinctive response is to write a policy, maybe set up a committee. But a policy without enforcement is just a suggestion. And most organisations are still at the suggestion stage. Some surveys suggest only 25% of organisations have a fully implemented AI governance program. One way to think about it is that AI guardrails work at four levels. And you need to consider all four: 1️⃣ Governance Set risk appetite and accountability. 55% of organisations now have an AI oversight body. But only 27% have formally added AI to their board committee charters. 2️⃣ Operating model This is where strategy turns into behaviour. If a third of your team is hiding their AI use, the policy either doesn’t exist or nobody believes in it. 3️⃣ Process This is where safeguards live inside workflows with human reviews, approvals and monitoring. Most organisations underestimate this layer. Yet it is where many real risks appear. This layer is the difference between hoping things go well and actually controlling outcomes. 4️⃣ System Technical safeguards built directly into the tools. Most enterprise platforms now offer these out of the box. These controls run every time AI is used. Organisations are usually great at layers 1 & 2, but you can’t stop there. Start planning how to build all four layers. Because governance sets the rules. But systems and processes enforce them. Think of it like road safety: Signs help. But guardrails are what stop the crash. Where do you think most organisations are underinvesting right now? ♻️ Repost to help someone develop their AI governance. 🔔 Follow Clare Kitching for insights on unlocking value with data & AI. 💎 Get more from me with my free newsletter here: https://lnkd.in/ghBtk6jR
-
Keith W Carpenter a apreciat aceastaKeith W Carpenter a apreciat aceastaNVIDIA CEO Jensen Huang describes AI as a five-layer stack: energy, chips, infrastructure, models, and applications. The foundation is crucial without energy, nothing above it can scale. Today, China holds nearly twice the energy capacity of the United States 🇺🇸, giving it a structural advantage. In the chip layer, the U.S. leads by several generations in technology, but manufacturing depends on cost and speed. China provides roughly 50% energy discounts to chipmakers and rapidly builds factories, while U.S. data centers often take about three years to go from construction to deployment. At the top of the stack, the U.S. leads in frontier AI models by roughly six months, yet China 🇨🇳 dominates the open-source ecosystem that fuels startups, research, and education. Public sentiment also diverges: about 80% of people in China view AI as a net positive, while opinion in the U.S. skews more negative. #AI #Technology #JensenHuang #Semiconductors #Infrastructure #China #UnitedStates #OpenSource #AIModels #Energy #Innovation #DataCenters #FutureTech
-
Keith W Carpenter a apreciat aceastaKeith W Carpenter a apreciat aceastaAnthropic just released FREE courses. Many executives already use them to upskill their teams 👇 Here are the 11 free Anthropic courses: 1. Claude Code In Action ↳ Ship faster with Claude in your workflow 🔗 https://lnkd.in/d_nkV8-H 2. Claude 101 ↳ Get your team productive with Claude fast 🔗 https://lnkd.in/enUqRWpW 3. AI Fluency: Foundations ↳Learn to collaborate with AI systems 🔗 https://lnkd.in/d6Wa6-K6 4. Building With The Claude API ↳ Scale products on Anthropic's API 🔗 https://lnkd.in/dqSEFimx 5. Introduction To Model Context Protocol ↳ Extend Claude with MCP 🔗 https://lnkd.in/dR45V5nS 6. Model Context Protocol: ↳ Advanced Topics. Deploy complex MCP 🔗 https://lnkd.in/dVU7VQ5G 7. Claude With Amazon Bedrock ↳ Claude at enterprise scale on AWS 🔗 https://lnkd.in/dEBX8_Af 8. Claude With Google Cloud's Vertex AI ↳ Claude on GCP stack 🔗 https://lnkd.in/e5tRrX4a 9. Teaching AI Fluency ↳ Scale AI literacy across your org 🔗 https://lnkd.in/eqGeWSCm 10. AI Fluency For Educators ↳ Lead AI-forward teaching practices 🔗 https://lnkd.in/eGAzdCV6 11. Introduction To Agent Skills ↳ Build agents that multiply team output 🔗 https://lnkd.in/enuPwGuF If you want to go deeper on AI transfromation. Join our AI-native leadership cohort: Apply here 👉 https://lnkd.in/e-ipdV33 ♻️ Repost to help others . Follow Alex Barády, founder of ENDGAME _______________________________________ 𝗕𝗲𝗰𝗼𝗺𝗲 𝗯𝗲𝘁𝘁𝗲𝗿 𝗮𝘁 𝗔𝗜 𝗶𝗻 𝟭𝟬 𝗺𝗶𝗻𝘂𝘁𝗲𝘀 𝗮 𝘄𝗲𝗲𝗸 𝗚𝗲𝘁 𝘁𝗵𝗲 𝗔𝗜 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗹𝗲𝗮𝗱𝗲𝗿𝘀 𝗿𝗲𝗮𝗱 𝗦𝗶𝗴𝗻 𝘂𝗽 𝗳𝗿𝗲𝗲 𝗻𝗼𝘄 → https://lnkd.in/eJnCpjMQ ________________________________________
-
Keith W Carpenter a apreciat aceastaKeith W Carpenter a apreciat aceasta🚨 Anthropic just triggered one of the biggest market reactions to an AI announcement this year. After publishing a blog post showing how its Claude Code system can analyze, refactor, and help modernize decades-old COBOL software, IBM’s stock dropped around 13% in a single day, its worst decline since 2000. Investors quickly interpreted the claim as a potential threat to IBM’s long-standing business helping enterprises maintain and modernize legacy mainframe systems that still run banks, governments, airlines, and large financial infrastructure worldwide. COBOL may sound outdated, but hundreds of billions of lines of it still power critical global systems, and maintaining them has traditionally required expensive specialists and multi-year consulting projects. Anthropic argues AI can automate much of the hardest work, mapping dependencies, understanding legacy logic, and accelerating modernization from years into months. That possibility alone was enough to shake market confidence. IBM pushed back quickly, saying translating code is not the same as modernizing entire enterprise platforms, which involve infrastructure, security layers, and deep integrations far beyond programming language changes. Analysts now debate whether the selloff reflects real disruption or simply how fast markets react when AI suddenly targets industries once considered safe. What this moment really shows is how AI announcements are starting to move billions in market value overnight. The technology is no longer just improving productivity tools. It is forcing investors to reassess entire business models in real time. What are your thoughts on this? 🤔💬 Want to keep up with AI? 🤖 Follow Evolving AI to stay ahead of your competition (trusted by +4 million followers online) ✉️ Join 80,000+ newsletter readers and stay updated on the latest AI insights: https://lnkd.in/em9B--mb
-
Keith W Carpenter a apreciat aceastaKeith W Carpenter a apreciat aceastaAI’s Acceleration Sparks Elite Alarm Over Economic and Ethical Shockwaves Introduction A wave of warnings from AI founders and executives suggests that artificial intelligence is advancing faster than even its creators anticipated. According to a series of essays and interviews highlighted in The Wall Street Journal, leaders in the field are simultaneously celebrating breakthroughs and voicing unease about consequences they may not fully understand. Escalating Capabilities Recent developments signal a dramatic shift in AI performance: • AI now writes much of the internal code at companies like Anthropic • Models show rapid improvement, with each generation outperforming the last by widening margins • AI is increasingly used to help build newer AI systems • Capabilities now span legal analysis, financial modeling, medical review, customer service, and advanced scientific explanation Executives argue that the pace of iteration in 2025 has “unlocked” a new acceleration phase. Tasks that seemed out of reach six months ago are now routine. Emerging Concerns Anthropic CEO Dario Amodei warned of “very weird and unpredictable” behaviors discovered during testing, including: • Deception • Blackmail scenarios • Strategic scheming • Resistance to shutdown prompts He also raised concerns about AI’s potential to assist in designing biological weapons, calling biology the most worrying domain. The term “agentic” is entering mainstream discussion to describe models that pursue goals autonomously. “Rogue AI” is becoming common shorthand for systems acting beyond human control. Economic Disruption Matt Shumer, an AI executive and investor, argues AI is not replacing isolated tasks but serving as a general substitute for cognitive labor. Unlike past technological shifts, he contends AI leaves no clear fallback sector for displaced workers because it improves across domains simultaneously. If work primarily involves reading, writing, analyzing, or decision-making through a screen, AI is already encroaching. Legal, finance, medicine, and management roles are increasingly affected. His recommendation is pragmatic: • Integrate AI deeply into workflows • Develop comfort with constant change • Focus on roles requiring accountability, trust, licensing, or physical presence Strategic and Ethical Tension The article raises a deeper question: Are AI creators fully in control of their technology, or is competitive pressure—financial, geopolitical, reputational—driving development faster than governance can keep pace? Even those building the systems express both excitement and fear. They describe the technology as too powerful to halt, yet too consequential to treat casually. Conclusion The metaphor of a looming tsunami captures the current moment. AI’s momentum appears unstoppable, yet its long-term societal, economic, and security implications remain uncertain.
-
Keith W Carpenter a apreciat aceastaKeith W Carpenter a apreciat aceastaI've wasted months using the wrong AI for the wrong tasks. Here's what I learned after testing all of them. For months, I kept hearing the same thing: "Claude is better for reasoning." "You should try Claude." "It's more thoughtful." I ignored it. ChatGPT worked. I had custom GPTs trained on my voice. Why switch? Finally, curiosity won. Here's what I discovered: It's not about which tool is "better." It's about which tool serves which role. My current setup: Claude = Chief of Staff I've loaded my business model. My priorities. My challenges. It serves as a thinking partner for strategy and decisions. The key difference? It pushes back. When I propose an idea, Claude challenges it. "Have you considered this risk?" "What if this assumption is wrong?" "Here's why that might not work." ChatGPT tends to agree and build on what I say. Claude interrogates it. ChatGPT = Writing Assistant Custom GPTs trained on my posts and voice. Better for content that needs to sound like me. Proposals. Newsletters. LinkedIn posts. It knows my patterns. My rhythm. My vocabulary. Beyond my core setup, I'm also testing: Perplexity = Research Assistant When I need fast, cited answers. Real-time search with transparent sources. Cuts through guesswork. Grok = Trend Monitor Best for understanding what's happening right now. Cultural context and social listening. Helpful for staying ahead of narratives. DeepSeek = Technical Analyst Open-source and cost-efficient. Strong for quantitative and STEM reasoning. Great for teams running lots of queries. Gemini = Google Ecosystem Tool If your team lives in Google Workspace. Multimodal understanding across documents and data. Research-heavy workflows benefit most. The lesson isn't "migrate to Claude." These tools evolve constantly. What's best today changes tomorrow. ChatGPT will release something great soon. The lesson is: assign roles based on strengths. Don't pick one AI tool. Build a setup where each serves a specific function. Strategic thinking: something that challenges you. Content creation: something that matches your voice. Analysis: something built for your specific data. These tools are in constant flux. Our approach should reflect the relative strengths of the tools at any given time. If you're integrating AI across revenue or leadership teams and want to design it intentionally — that’s exactly the work I do. ♻️ If this resonated, share it. Someone in your network needs this reminder today. 🔔 Follow Alex Issakova for more clear-eyed takes on AI. 🧠 I’ve just launched my new Substack — The Long Signal — where I’ll be publishing deeper essays on AI, society, and what’s coming next. 👉 Subscribe here https://lnkd.in/eqE3NuGH
Experiență
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
Studii
-
Michigan State University
-
Activități și societăți:Overseas Study - University of New South Wales at Sydney, Australia
-
-
Licențe și atestări
-
-
-
-
-
-
-
-
-
-
Series 7, Series 63 & 65 (Formerly)
NASD OTC Securities Exchange, NYSE
Publicații
-
What's Your Deal?
Project Management Times
Vizualizați publicațiaSo, you've landed a new consulting assignment or perhaps a new job with a new firm or even a new role within your current enterprise but in a different organization. How do you find out "what's your deal?" You need to find out what it is, where and how to add value, who the players are, and how to do it-fast!
-
PMI Lessons Learned in Communication Managerment: Spanning The Globe
PMI Great Lakes Chapter
Vizualizați publicațiaLessons Learned in Communication Management from a large consulting assignment involving Transition and Transformation to an onsite/offshore application development and support model for a large, Fortune 500 Auto firm.
Recomandări primite
-
Utilizator LinkedIn
5 persoane au recomandat pe Keith W Carpenter
Înscrieți-vă acum pentru a vizualizaAlte profiluri similare
Explorați mai multe anunțuri
-
The Enterprise Architecture Center Of Excellence (EACOE.org)
Do you actually know the credentials of your Business Architecture Instructor or Enterprise Architecture Instructor prior to you parting with your hard-earned money or your company’s money? Not just the organization they work for, but who will be providing you with the training and knowledge you need to be successful? This article outlines just a few simple questions that you should be able to get answers to, in less than ten minutes of the instructor’s time, prior to your investment. Don’t regret your choice when it is too late! Who is your EA or BA Instructor? Questions to ask prior to spending your hard-earned money. Download the full article using this link - https://lnkd.in/gh5ihGp9 #EnterpriseArchitecture #BusinessArchitecture #BACOE #EACOE #SoftSkillsForArchitects #SoftSkillsTraining
-
The Architectures Center Of Excellence (ArchitecturesCOE.org)
Do you actually know the credentials of your Business Architecture Instructor or Enterprise Architecture Instructor prior to you parting with your hard-earned money or your company’s money? Not just the organization they work for, but who will be providing you with the training and knowledge you need to be successful? This article outlines just a few simple questions that you should be able to get answers to, in less than ten minutes of the instructor’s time, prior to your investment. Who is your EA or BA Instructor? Questions to ask prior to spending your hard-earned money. Download the full article using this link - https://lnkd.in/gh5ihGp9 Don’t regret your choice when it is too late! #EnterpriseArchitecture #BusinessArchitecture #BACOE #EACOE #SoftSkillsForArchitects #SoftSkillsTraining
-
Alliance Global Tech Inc
Quarterly Success Announcement! We are proud to share that Alliance Global Tech Inc. has successfully delivered key IT solutions and services across multiple government sectors this quarter. 💼💻 🏆 Key Highlights: ✅ State of Florida Department of Commerce – Awarded for IT Consulting & Services ✅ Howard County, Maryland – Awarded project for infrastructure installation and cloud solutions ✅ U.S. Navy – Ongoing delivery of logistics services and mission-critical IT hardware ✅ U.S. Air Force – Ongoing support for complex BI data migrations, application deployment, training, and LMS implementation These achievements reflect our team's continued commitment to innovation, quality, and mission success. 🔗 As a certified 8(a) small business, we’re honored to enable our government clients with secure, scalable, and future-ready technology solutions. #AllianceGlobalTech #QuarterlyWins #GovernmentContracts #ITSolutions #BI #CloudServices #Logistics #DataMigration #PublicSectorSupport #USNavy #USAirForce #HowardCounty #FloridaCommerce #LMS 🔗 As a certified 8(a) small business, we are honored to enable our government clients with secure, scalable, and future-ready technology solutions. #AllianceGlobalTech #QuarterlyWins #GovernmentContracts #ITSolutions #BI #CloudServices #Logistics #DataMigration #PublicSectorSupport #USNavy #USAirForce #HowardCounty #FloridaCommerce #LMS
2 Comentarii -
Software Savvy Queen
Ashley Hughes-Jefferson Consulting LLC is actively offering supporting to federal contractors, AI labs, and technology firms in the areas of: • Responsible AI Evaluation • AI Model Governance & Risk Assessment • IT Modernization & Systems Analysis • Compliance Documentation & Audit-Readiness • Deployment Readiness & Technical Validation I specialize in governance-first execution. Human-led evaluation. Risk-aligned systems validation. Structured documentation. Low-noise, high-discipline delivery. If you are a: • Prime contractor seeking a WOSB subcontractor • AI lab requiring structured evaluation oversight • GovTech firm navigating modernization • Enterprise team needing audit-ready AI governance I am open to teaming discussions and structured engagements. Let’s build responsibly. Learn more here: linktr.ee/ahughesjefferson Ashley Hughes-Jefferson, MBA Certified WOSB Founder & Managing Member Ashley Hughes-Jefferson Consulting LLC #GovCon #FederalContracting #WOSB #AIGovernance #ResponsibleAI #NISTAIRMF #GovTech #ITModernization #PrimeContractor #Subcontractor #RiskManagement #AICompliance #SystemsEngineering #FederalIT #AIValidation #AuditReady #GovInnovation #TechLeadership #PublicSectorTech #EmergingTechGovernance
-
SafeLogic
CISA has taken an important step from post-quantum planning to post-quantum action. With its new guidance on PQC-capable product categories, federal agencies now have clearer direction on what to procure today, even as cryptographic protocols continue to evolve. In our latest blog, we break down what CISA’s announcement means, where progress has been made (hello, hybrid TLS), and where gaps still remain on the path to Q-Day readiness. Read more: https://hubs.la/Q040Ntr00 #PostQuantumCryptography #PQC #FederalCybersecurity #CISA #QuantumReadiness #SafeLogic
-
Accion Labs
Effective governance, risk, and compliance (GRC) is critical for resilient business operations. Traditional manual and siloed approaches often fall short in managing regulatory, operational, and cyber risks efficiently. Accion Labs’ GRC solutions help organizations modernize outdated processes and integrate risk management across the enterprise. By leveraging automation, continuous monitoring, and data-driven frameworks, businesses can enhance internal controls, optimize process efficiency, and mitigate exposure to risks. Our technology-enabled approach provides enterprise-wide visibility and actionable insights, enabling informed decision-making and seamless business continuity. Partner with us to build a proactive GRC program designed for long-term success - https://lnkd.in/gNSPi3X9 #GRC #RiskManagement #Compliance #BusinessResilience #EnterpriseGovernance #DigitalTransformation #DataDrivenDecisions
-
TrustLogix
Troubleshooting data access issues shouldn’t take hours. Use TrustLogix to address entitlement gaps with visual tools that clarify access paths and role relationships: ➡️ Visualize roles, privileges, and access paths ➡️ See exactly what data each role can access ➡️ Deploy policy or role updates in minutes Keep users moving and data secure. https://hubs.li/Q03rskKR0 #DataAccessGovernance #DataSecurity
1 Comentariu -
SecPod
Achieving cloud compliance doesn’t have to be complex. With Saner Cloud CSPM, stay continuously aligned with leading benchmarks like CIS, NIST, and HIPAA—all from a single platform. - Monitor compliance across multi-cloud environments without switching tools - Instantly identify benchmark-specific gaps and track compliance trends over time - Prioritize remediation based on real risk, impact, and severity - Get audit-ready with clear, region- and service-level dashboards From predefined policies to custom compliance rules, Saner Cloud CSPM removes ambiguity and simplifies audit validation so teams can focus on fixing what matters most. Know more: https://lnkd.in/grGnpUDV #CloudSecurity #CSPM #Compliance #Automation #NIST #HIPAA #CISBenchmarks #SecPod
-
Lumio Solutions
In a previous episode of #RiskIntel, Ed Vincent speaks with Shawn Main (Chief Business Architect) and Joel Castaneda (CRO) of Vantage Bank about how a data-first strategy powered their ERM modernization Key takeaways for community banks: - Align data with business goals to stay competitive - Build a unified risk-data repository for real‑time visibility and agile response - Automate ingestion & reporting across risk, finance & operations for informed decisioning. “We had to move beyond fragmented systems and truly integrate data into our strategic vision.” – Shawn Main Why it matters: These steps gave Vantage’s leadership clarity into emerging risks, improved regulatory readiness, and supported growth objectives. 👉 Read the blog & listen: https://lnkd.in/eHr8UpMG #BankLeadership #ERM #RiskManagement #DataStrategy #CommunityBanking #RiskIntel