Vid Čibej’s Post

In the world of AI implementation, we're learning some critical lessons: Workflow Design is an Iterative Art Building AI pipelines isn't a one-and-done process. It's about: - Mapping out information needs - Understanding when and where data is critical - Continuously optimizing for speed and efficiency Operations Matter More Than Magic Initial workflows are often painfully slow. The real skill? Recalibrating components to accelerate decision-making. It's less about the initial build, more about intelligent refinement. The shocking reality if you really are in the weeds of this like we are, is many professionals working with AI don't implement basic cross-checking mechanisms. If you're not actively verifying AI outputs, you're risking critical errors. Pro Tip: Develop robust feedback loops and validation strategies. Don't just accept AI output—scrutinize it. Unpopular but true: Just because someone's getting paid to build AI solutions doesn't mean those solutions are good. Demand excellence, not just compliance. What's your experience with AI workflow optimization? Share below! 👇 #AIStrategy #WorkflowOptimization #TechLeadership #AIAgents #AIDevelopment #DigitalTransformation

A thought on the future of organizational values in the AI era: Every organization today - from tech startups to government agencies - is asking the same question: "How can we leverage AI to benefit our customers and society while maintaining competitive differentiation?" But here's what's interesting: While companies rush to implement AI initiatives and issue top-down mandates for "AI-first thinking," many are missing a crucial element. The real transformation needs to happen at the cultural level on values and principles that guide organizational day-to-day decision making, actions, and behaviors. I believe we'll soon see organizations redefining their core values to embed AI principles.  Examples: 🤝 Integrity Then: "We act with honesty, fairness, and transparency" Now: "We ensure transparent, explainable, and ethical AI decisions" 👥 Customer Obsession Then: "The customer is always first" Now: "We leverage AI to anticipate and personalize while protecting customer privacy" 📚 Continuous Learning Then: "We never stop growing" Now: "We embrace AI-augmented learning while maintaining human judgment" The key isn't replacing our core values - it's evolving them to reflect the new reality of human-AI partnership. What traditional values do you think need reimagining in the AI era? #FutureOfWork #AI #OrganizationalValues #Leadership #Innovation

The integration of AI into governance policies isn't just a technical necessity; it's a strategic advantage that can shape the future of organizations. As laid out in an insightful article, companies embracing robust AI oversight are not only ensuring compliance but also enhancing their competitive stance. Think about how AI tools can streamline decision-making processes and empower teams to innovate. It’s all about building a framework that fosters collaboration and trust, enabling organizations to respond swiftly to market changes and customer needs. Let’s spark a discussion! What steps are you taking to implement AI governance in your workplace? We’d love to hear your stories and insights. #AI #Governance #Innovation #Collaboration #Leadership https://lnkd.in/dwAz5-tF

So, you’ve built an AI platform – what next? If your AI platform strategy does not already consider sustainment, it should. What it takes to sustain, is a different management framework to building an AI platform. Often, we see that our clients incur cost blowouts in transforming from build to sustainment as it is not sufficiently and effectively planned. Then the question – are you ready for sustainment is not sufficiently measured. Planning for sustainment will help you save cost, reduce risk and improves your measure of success. #AIstrategy #EnterpriseAI #AIplatform #AImanagement

The AI Governance market matured in 2024, with more companies looking to operationalize scalable programs as a competitive advantage. In 2025, the ones at the top will make AI Governance a core part of their strategy. The challenge? Balancing speed of innovation with safety and compliance. Join Credo AI for a webinar on December 11th where we’ll break down how to get your organization ready for AI governance at scale. Here’s what’s on the agenda: - People: Building teams with the skills to tackle AI governance head-on. - Processes: Creating workflows and policies that actually work. - Technology: Using the right tools to stay compliant and transparent without slowing down. Sign up link will be in the comments #AIGovernance #ResponsibleAI #CredoAI

🚀 The AI revolution isn't just about technology—it's about transforming your entire operating model. Organizations embracing an AI-first mindset are positioning themselves to lead in their industries. Let Aidols guide your AI-driven transformation: aidolsgroup.com #AITransformation #BusinessInnovation #FutureReady

Are you prepared to future-proof your AI transformation journey? As AI and advanced data platforms reshape the financial services landscape, unlocking substantial opportunities to improve business performance and customer outcomes, we believe it is crucial to establish the right foundations. This requires significant advancements in technology, controls, operating model, and governance to ensure a successful and sustainable AI transformation. Contact us to learn about how we can accelerate your success. Vincent Kasbi David Hollander David Prendiville Mike Booth Sang Joon Ahn Brendan McBride Jason Kong Hugh Cunningham Sia Partners #AItransformation #financialservices #optimistforchange #innovationculture

A useful read on the state of AI adoption. But how should business prepare for AI, if not a leader or fast following adopter? Be ready to disrupt, or be disrupted? “We’re solving problems that weren’t solvable before,” he adds. Not all organizations, however, are able to use AI to that degree at this time, Watal and other experts say. Many organizations don’t have the required data infrastructure, skilled technologists, or AI-ready culture to envision, develop, and adopt AI in ways that disrupt the status quo. As a result, Watal says “a lot of what we’re seeing is still incremental in nature. But we’ll see more transformation in the future as we get AI governance right.”

Although the future of AI is already here, the adoption journey will be long and may fail if we do not approach it thoughtfully Diwesh Saxena wrote an insightful article addressing this concern! #AITransformation #AutromationStrategy #FutureOfWork

Bias, Governance, Cost, Talent & Data. Overcome these hurdles and your business can unlock the true potential of AI. At Digital Bricks, we help you navigate these challenges. Governance ➪ Compliance with the EU AI Act is crucial. Responsible AI practices ensure transparency and build trust. Cost ➪ Start with a consultation to identify where AI adds value. A strategic approach maximizes ROI. Talent ➪ Upskill your team to create internal AI champions. Empower them to drive AI projects and foster innovation. Data ➪ Establish robust data governance to enhance data quality and accessibility, unlocking AI's full potential. Ready to transform your business with AI? Connect with us at Digital Bricks to get started! 🚀 #AI #digitaltransformation #responsibleAI #Innovation #businessgrowth #aiproject #aistrategy #aiadoption #automation #aiupskilling