The AI Arms Race Just Changed: A Board Director's Guide to Strategic AI Alignment The recent breakthrough in AI development by DeepSeek isn't just a technological milestone—it's a wake-up call for boards to fundamentally rethink their approach to AI strategy and value creation. As someone who has guided multiple boards through technology transformation, I see this as a critical moment for directors to drive strategic alignment between AI initiatives & business objectives. Three key principles should guide board oversight of AI strategy: 1. Vision Alignment: AI strategy must be inextricably linked to business strategy. The DeepSeek breakthrough demonstrates that technical capability alone doesn't guarantee competitive advantage. Boards must ensure management teams are building AI initiatives that directly support core business objectives, respond to market conditions, and address competitive pressures. The question isn't just "What can AI do?" but "How does AI advance our strategic goals?" 2. Value-Risk Portfolio Management: With AI capabilities potentially becoming more accessible through distillation, boards need to push management beyond the "bigger is better" mindset. Focus should shift to identifying & prioritizing concrete, business-driven AI initiatives that create sustainable competitive advantages. This means developing a balanced portfolio that: ??- Targets specific value creation opportunities ??- Manages both technological & business model risks ??- Maintains flexibility as AI capabilities evolve ??- Protects intellectual property while leveraging open innovation 3. Dynamic Strategy Evolution: The pace of AI advancement demands an agile approach to strategy. Boards should establish regular review cycles that: ??- Align AI initiatives with evolving business strategies ??- Seek synergies across digital/IT and data analytics strategies ??- Adjust the AI operating model based on market feedback ??- Scale successful pilots while quickly pivoting from unsuccessful ones The implications for governance are profound. Boards must ensure management teams are building mature AI operating models that can execute on strategy while remaining adaptable: - Clear metrics for measuring AI initiative success - Robust risk management frameworks - Talent development strategies - Data governance policies that enable innovation while ensuring compliance As directors, we must push beyond oversight of individual AI projects to ensure cohesive strategic alignment. The DeepSeek breakthrough suggests that competitive advantage will flow not to those who simply invest the most in AI, but to those who most effectively integrate AI capabilities into their business strategy & execution. How is your board ensuring strategic alignment of AI initiatives? #CEO #KSgems #BoardOversight #CIO #CTO #CISO #AI Nora M. Denzel https://lnkd.in/eGHwmiQ4
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Seeing through the Hype of Gen-AI As the initial excitement around Generative AI begins to settle, we're entering a critical phase where the true long-term impact of this technology will start to unfold. While early advancements have showcased the potential of Gen-AI in content creation, customer engagement, and automation, the future will be defined by how effectively enterprises can integrate this technology into their core operations and strategies. The collective insight among industry leaders and AI pioneers is clear: the next wave of Gen-AI will be less about experimentation and more about execution. This shift will require a focus on practical applications that solve complex, real-world problems at scale. Enterprises must move beyond the novelty of AI and invest in solutions that enhance operational efficiency, drive innovation, and deliver measurable business outcomes. However, the path forward isn't without challenges. Ethical considerations, data integrity, and the seamless integration of AI with human expertise will be critical factors in determining success. Enterprises that prioritize these aspects will not only build trust with their stakeholders but also position themselves as leaders in the next phase of AI-driven transformation. As we move beyond the hype, it's crucial for businesses to focus on building robust, scalable AI solutions that align with their strategic goals. The potential for Gen-AI to redefine industries is immense, but its true value will be realized by those who can navigate the complexities and responsibly leverage the technology to create lasting value. The excitement may be waning, but the real work is just beginning. Time to embrace this opportunity to shape the future of enterprise with thoughtful, responsible innovation! #GenerativeAI #AIInnovation #EnterpriseAI #DigitalTransformation #FutureOfWork #AIethics #AIstrategy #TechLeadership #ResponsibleAI #AIintegration
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2025 Planning in the Age of AI Acceleration Writing this from our leadership offsite in France, where OpenAI's "12 Days of Christmas" announcements keep interrupting our 2025 planning sessions - in the best possible way. Every new capability revealed is simultaneously exciting and disruptive to our strategic thinking. The pace of change is breathtaking. What's becoming crystal clear is that 2025 won't just be another year of incremental AI progress. It's shaping up to be a pivotal moment for business transformation, particularly in how AI agents will amplify human creativity and productivity. The real opportunity? Not replacing human expertise, but enabling it to scale in ways previously unimaginable. As we refine our plans, one thing is certain: organisations that master the integration of AI agents while preserving human creativity and strategic thinking will lead the next wave of innovation. The future isn't about AI or human expertise - it's about the powerful fusion of both. What's your take on 2025? Are you rethinking your strategic plans with these latest AI developments? #AIAutomation #ProductStrategy #GrowthHacking #B2BContentMarketing
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During a recent conversation with a client, they made a compelling observation: "Everyone is trying to sell us the six-month AI project right now... tell us about an inexpensive six-week project that can show us some return on an AI initiative." This struck a chord with me. In the world of AI, starting small often leads to bigger successes. By focusing on quick, impactful projects, businesses can gain momentum, secure early wins, and build the confidence needed to scale their AI efforts. The allure of AI technology is undeniable—it's powerful, transformative, and makes you want to think big from the start. However, to truly harness its potential, it’s crucial that security, process, and the production teams move in lockstep, especially early on. Rushing ahead without ensuring these elements are aligned can lead to significant challenges down the road. At Core BTS, we believe in a balanced approach - helping our clients start with manageable AI projects that deliver measurable results while ensuring that all critical components are synchronized. This strategy not only delivers immediate value but also sets the stage for more ambitious, long-term transformations. If you're considering AI, think about starting with a focused, achievable project. The insights and returns might just surprise you, laying the groundwork for greater advancements while keeping all parts of your business in harmony. #AITransformation #QuickWins #AIInnovation #BusinessGrowth
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?? Moving Past the Honeymoon Phase of Generative AI: 7 Hard Truths for CIOs ?? by McKinsey & Company The hype surrounding generative AI, or "gen AI," has been overwhelming, but as we pass the "honeymoon phase," CIOs will have to deal with the difficulties of bringing AI from pilot to mass production. Even though AI has a lot of promise, just 11% of businesses have effectively implemented it on a large scale. Why? Because scaling calls for determination, self-control, and conquering some difficult obstacles. Here are seven essential realities that CIOs must accept: 1?? Cut the noise, focus on the signal - Eliminate experiments that don’t deliver and zero in on business problems that matter. 2?? Integration is key - It’s not just about individual components but how they work together securely. 3?? Get a handle on costs - LLMs are just 15% of the total cost—understanding hidden costs is crucial. 4?? Streamline tools and tech - Too many platforms and infrastructures slow progress. Simplify for scalability. 5?? Build value-driven teams - It’s not just about creating models; it’s about delivering secure, scalable value. 6?? Go for the right data - Perfect data doesn’t exist—focus on what's critical for scaling. 7?? Reuse code or lose it - Building reusable assets can speed up AI development by 30-50%. Gen AI can transform businesses, but only for those willing to face the hard truths of scaling. CIOs must act now, refocus their efforts, and drive real value. ?? #AI #GenerativeAI #DigitalTransformation #CIO #Leadership #ScalingAI #Innovation #McKinsey #BusinessValue #Technology #Deeptech #GenAI --- What do you think is the biggest hurdle for scaling AI in your organization? Drop a comment below! ?? I have some solution approaches and tools that I would like to discuss 1x1 with you.....
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What trade-offs should companies consider when adopting #GenAI tools and how best to integrate them with existing non-AI and predictive AI systems? Where should they use them (and where not)? What role do humans play in the loop? ? In our new #free INSEAD case study ??“???????????? ?????????? ???? ???????????????? ???????????????? ??????????????????: ?????? ?????????? ??????????????”, INSEAD Professor Theodoros Evgeniou and Lila Despotidou analyze the challenges associated with the use of GenAI technologies and evaluate the organizational culture required to embrace GenAI’s disruptive capabilities for process automation. ? Get your free copy here ??https://lnkd.in/eBi-hJSd ? Special thanks to Aloma.io LTD, Patrick Williamson, Aksel Van der Wal and José De Bardi for their contributions to the case development! ? #INSEADCases, #casestuides #newcase #SDG9 #digitaltransformation
Taming GenAI to Automate Business Processes: The Aloma Example
publishing.insead.edu
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Automation & AI Expert & Advisor | [email protected] | Global B2B Influencer & KOL | Speaker | Author | Delivered over $100M P&L Impact to clients
Change would be easier if only organizations were not bogged down by so many hierarchical layers, excessive governance, centralized decision-making authority, faceless bureaucratic systems, and political maneuvering. Full credit to Ralph Aboujaoude Diaz who is OG Approved! ? Hey, I'm OG, I support executives & companies to thrive in the world of AI & Automation. ?? Follow ME & hit the bell for #AI & #Automation updates! ??DM for featured content! ?? Exciting news! "The A to Z of Generative AI" is here! This comprehensive guide unlocks AI's potential for your business. From basics to advanced strategies, it's packed with insights & examples. ?? Ready to dive in? Grab your copy of "The A to Z of Generative AI" now!? https://lnkd.in/dZVJ8GJz ?? Wondering how AI can benefit your business? With our Outcome-Based Model, you reap the gains while we shoulder the risks. Plus, get a FREE assessment and a customized business case proposal. ?? Have questions or need more info? DM or email me at [email protected]. At IAC.ai, our success comes from dedication, client support, and belief in what we can achieve together. Let's transform your business! #intelligentautomation #automation #digitaltransformation #technology #innovation #outcome #outcomebasedcontracts #gainshare #artificialintelligence #ai
The A to Z of Generative AI: A Guide to Leveraging AI for Business
amazon.com
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Successfully scaling AI requires more than just cutting-edge technology; it demands a strategic approach... During Celosphere 2024, executives from BMW, IBM Consulting, and a global packaging firm shared insights on transforming AI potential into real business benefits. Discover their key takeaways at this link: https://celon.is/422gdeF
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GenAI is the reigning, and sustaining tech that not only survived the hype cycle, but proved skeptics wrong. There’s no question as to “if”, but “when” AI will re-rank enterprises in the market. Those that leverage AI, with a sound data strategy, will rise in the ranks among peer competition. Don’t get left playing catch-up. Let World Wide Technology help you on your AI journey to further your enterprises continued digital transformation. Building for Success: A CTO's Guide to #GenAI A strategic roadmap for CTOs to align GenAI strategies with business goals, assess infrastructure needs, and identify the talent and skills needed to achieve sustainable GenAI transformation. https://lnkd.in/gHCaGBgw
Building for Success: A CTO's Guide to Generative AI
wwt.com
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The Value in AI Discovery Many businesses approach AI implementation seeking quick solutions, but our experience shows that thorough discovery reveals opportunities that take time to appear. Key Discovery Insights: Process Interconnection: What appears as an isolated efficiency challenge often reveals wider transformation opportunities. Our Discovery Phase frequently uncovers connections between processes that, when optimised together, deliver exponentially better results. Data Asset Potential: Most organisations possess valuable data assets they're not fully leveraging. Through systematic assessment, we often identify existing data that could drive significant business value with minimal additional investment. Change Readiness: Understanding your organisation's readiness for change is as crucial as technical capability. Our structured approach helps identify the optimal starting point for your specific context. This is why we emphasise thorough discovery before implementation - it's about building a foundation for sustained success rather than quick fixes. #AIStrategy #BusinessTransformation #DigitalInnovation
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Success in AI isn't just about adopting cutting-edge tools—it's about embedding AI into the fabric of business operations. In our latest survey of 400 senior AI professionals, conducted in collaboration with #Databricks, we found that AI Pioneers are leading the charge by driving measurable ROI and transforming their operations through innovation. Here are four strategies that set them apart: ?? Executive Buy-In: Strong C-suite support aligns AI initiatives with business goals, ensuring faster decisions and bigger budgets. Scalable Infrastructure: AI Pioneers invest in infrastructure to scale AI solutions efficiently. ?? Experiment Often, Fail Fast: These leaders thrive on experimentation, always pushing boundaries. ?? Balanced Governance: AI Pioneers expand AI across departments while ensuring robust governance. Learn more about how AI Pioneers stay ahead:
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1 个月Boards must lead on alignment of AI initiatives and business strategy, risk management, talent development and the necessary culture of innovation and effectiveness. Thank you Khwaja Shaik