Engelos (Evan) Gekas’ Post

Research from Gartner indicates that a significant 59% of CEOs view AI as the most impactful technology for their industries in the next three years. While AI’s potential is clear, the real leverage comes from ensuring our data foundations are not just robust but future-proof. 1️⃣ Future-Proof Data: The backbone of successful AI implementation is high-quality, cost-efficient, and scalable data infrastructure. This ensures that as technologies evolve, our data systems can adapt and continue to drive accurate AI outputs. 2️⃣ Strategic AI Use Cases: It’s crucial to identify and deploy AI where it can have the most significant impact, ensuring that these technologies are applied thoughtfully and effectively within our organizations. 3️⃣ Innovative Culture: Creating an environment that supports continuous innovation is key. A culture that adapts to technological advancements will maximize the investments in AI, ensuring long-term benefits. The future of AI is not just about adopting the technology; it’s about creating an ecosystem that supports sustainable and scalable growth through solid, future-proof data foundations. EDB CDO Magazine #AI #DataStrategy #FutureProof #DigitalTransformation #Leadership #BigData

Many companies often question how things will be different this time, especially when reflecting on past digital transformation efforts. To avoid wasting time, effort, and resources with AI transformation, we need to plan and prepare thoroughly. This means determining the value AI can generate for the business and establishing metrics to prove its effectiveness before committing to any specific direction.

For busy digital leaders and decision makers, navigating the AI hype and surviving the AI bubble requires a considered, balanced approach. Those I have seen make sustainable progress with AI adopt 3 main principles: 👉 Focus on Business Value, not Hype: Don't get swept away by the hype. Instead, focus on identifying specific business problems where AI can deliver tangible value and ROI. Start with small, achievable projects and scale gradually based on results. 👉 Build the Right Foundation: Address the fundamental challenges first. Invest in data infrastructure, talent development, and ethical considerations to ensure a smooth and successful AI implementation. 👉 Collaboration is Key: Partner with experts, both internal and external, to bridge the knowledge gap and leverage the collective wisdom of your organization. By focusing on real-world value, addressing challenges proactively, and embracing collaboration, digital leaders can harness the power of AI to drive meaningful change and achieve their digital ambitions. Remember, the journey is just as important as the destination. Navigate the hype with a critical eye, a pragmatic approach, and a focus on long-term value creation for your organization and society as a whole. Thank you Alan Brown for another fantastic weekend read! Learn more: https://lnkd.in/gnzNwmNV #ai #digitalleadership #futureproof #lifelonglearning #educationalleadership #value #collaboration #communication #futureskills #digitalinnovation #commonground #sensemaking #change #transformation #disruption #sustainability #canada

For busy digital leaders and decision makers, navigating the AI hype and surviving the AI bubble requires a considered, balanced approach. Those I have seen make sustainable progress with AI adopt 3 main principles: 👉 Focus on Business Value, not Hype: Don't get swept away by the hype. Instead, focus on identifying specific business problems where AI can deliver tangible value and ROI. Start with small, achievable projects and scale gradually based on results. 👉 Build the Right Foundation: Address the fundamental challenges first. Invest in data infrastructure, talent development, and ethical considerations to ensure a smooth and successful AI implementation. 👉 Collaboration is Key: Partner with experts, both internal and external, to bridge the knowledge gap and leverage the collective wisdom of your organization. By focusing on real-world value, addressing challenges proactively, and embracing collaboration, digital leaders can harness the power of AI to drive meaningful change and achieve their digital ambitions. Remember, the journey is just as important as the destination. Navigate the hype with a critical eye, a pragmatic approach, and a focus on long-term value creation for your organization and society as a whole. Thank you Alan Brown for another fantastic weekend read! Learn more: https://lnkd.in/gnzNwmNV #ai #digitalleadership #futureproof #lifelonglearning #educationalleadership #value #collaboration #communication #futureskills #digitalinnovation #commonground #sensemaking #change #transformation #disruption #sustainability #canada

For busy digital leaders and decision makers, navigating the AI hype and surviving the AI bubble requires a considered, balanced approach. Those I have seen make sustainable progress with AI adopt 3 main principles: 👉 Focus on Business Value, not Hype: Don't get swept away by the hype. Instead, focus on identifying specific business problems where AI can deliver tangible value and ROI. Start with small, achievable projects and scale gradually based on results. 👉 Build the Right Foundation: Address the fundamental challenges first. Invest in data infrastructure, talent development, and ethical considerations to ensure a smooth and successful AI implementation. 👉 Collaboration is Key: Partner with experts, both internal and external, to bridge the knowledge gap and leverage the collective wisdom of your organization. By focusing on real-world value, addressing challenges proactively, and embracing collaboration, digital leaders can harness the power of AI to drive meaningful change and achieve their digital ambitions. Remember, the journey is just as important as the destination. Navigate the hype with a critical eye, a pragmatic approach, and a focus on long-term value creation for your organization and society as a whole. Thank you Alan Brown for another fantastic weekend read! Learn more: https://lnkd.in/gnzNwmNV #ai #digitalleadership #futureproof #lifelonglearning #educationalleadership #value #collaboration #communication #futureskills #digitalinnovation #commonground #sensemaking #change #transformation #disruption #sustainability #canada

According to Gartner, more than 55% of organizations worldwide have either already adopted AI or are in the process of doing so. In contrast, there’s also ample data that sheds light on the organizations that have failed with AI incorporation. 85% of AI and ML projects, as Gartner has reported, fail due to various technical hurdles, strategic miscalculations, or operational snags. So, it’s natural for leaders, like you, to take a pause and ask ‘Will AI in our business drive actual impact?’ Examining the pitfalls before brainstorming over AI adoption is crucial, but so is dissecting the mindset leading to it. There isn’t a one-approach-fits-all strategy for successful implementation. Nevertheless, leaders can turn every adversity into an opportunity with a software approach - pinpoint the need, evaluate trade-offs, and deploy with an eye on iterative reinvention, guided by data every step of the way. This is precisely what the Boston Consulting Group (BCG) advocates. Leaders feel the heat to chase AI's rapid pace, as GenAI is fast becoming an everyday tool. Embracing this shift and carving out distinct AI aspirations will grease the wheels for a frictionless transition from test phases to production—and ultimately, secure a stratospheric leap in ROI. #GenAI #Innovation #FutureofTech #KSA https://lnkd.in/dD2tVW-t Source: Boston Consulting Group

Business leaders constantly seek ways to enhance productivity and drive innovation.  The New York Times highlights a debate on AI's role in productivity, with industry giants predicting a revolution, while MIT economist Daron Acemoglu urges caution. Acemoglu's recent paper argues that AI might only contribute modestly to productivity, potentially increasing U.S. economic output by just 1% over the next decade. This stands in contrast to more optimistic forecasts, such as Goldman Sachs prediction of a 7% boost in global GDP from AI. 👉 Key point of consideration: AI's current capacity largely automates routine tasks (~5% of office work). Despite skepticism, integrating #AI in business is key for streamlining operations and spurring innovation. However, true productivity gains require more than just automation – they demand a transformation in how we approach problem-solving and strategic development. 🟧 For companies aiming to lead in the AI-driven future:  🔸embrace innovation: use AI not just to cut costs, but to foster growth and creativity,  🔸invest in skills: equip your #workforce to tackle complex challenges that AI cannot.    ➡️ https://lnkd.in/g6FrPu7D   #AI #Productivity #Innovation #FutureOfWork #BusinessGrowth #Leadership Infographic: Productivity Increases with AI|Nielsen Norman Group 

Technology is constantly evolving, with AI as the latest 'game changer', but are we leveraging it effectively? With a staggering 70% failure rate in our transformation efforts, it's clear we are not and it must be time to rethink our approach. For 30 years, I've witnessed organisations invest millions in technology initiatives only to crash and burn. As a seasoned consultant, I've learned a crucial lesson: it's not just about the technology itself, but what you do with it that truly matters. That's not just empirical experience, it's backed up by the academic research - so why aren't most organisations doing that?? In a world driven by technology, the key to success lies in how we harness it for meaningful change. While the allure of cutting-edge tools is strong, we must not overlook the importance of leveraging human expertise. Instead of fixating on technical skills, focus on those who can align technology with your business objectives and drive meaningful transformation. My advice for navigating the realm of Artificial Intelligence? Look beyond the 'cutting edge' technical excellence. Don't pay a premium for the latest AI skills; instead invest in individuals who can demystify AI's potential for your organisation and spearhead transformative changes across the board. Let's shift our focus from chasing technology trends to unlocking its true value. What do you think? If you'd like to know more reach out to me, Stuart Fotheringham, Tom Swanson at Intelligent Enterprise Partners LLP #ArtificialIntelligence #DigitalTransformation #TechnologyInnovation

✅ Evolution of Artificial Intelligence in Organizations: From Laggard to Leader 🚀 To help organizations evaluate the generative AI readiness of their technology stack, plan for the future, and identify investment opportunities, DataStax has developed the "Generative AI Maturity Model". It’s composed of four key “arcs”: 1️⃣ - Contextualization: Context is key to understanding the situation a model is trying to affect 2️⃣ - Architecture: Much of the AI revolution comes down to technology architectures supporting advanced and increasingly real-time workloads. 3️⃣ - Culture and talent: People and culture must be a core consideration for any ambitious AI initiatives. 4️⃣ - Trust: At the end of the day, if an organization loses trust as they pivot to AI, it will be difficult to recover. Trust can be established, built, maintained, and eroded. Each arc contains milestones that guide organizations on their AI journey by providing a structured framework for evaluation and planning. Using this Model, each company can assess itself and position itself in one of the four maturity levels proposed by the tool: Beginning, Responsive, Proactive, Leader. This Model not only outlines the growth path but also emphasizes the importance of a holistic approach that embraces advanced technologies, organizational culture, and transparency. How is your company placed within this maturity model? #AI #ArtificialIntelligence #Innovation #Technology #Leadership #OrganizationalCulture #Transparency #Trust #Future #Ethics #LinkedinTopVoices

With the emergence of #GenerativeAI models, enterprises are increasingly investing in this technology. Organizations recognize generative AI’s transformative potential across various industries, particularly in #CustomerExperience Management (#CXM). Generative AI’s ability to generate content, identify data trends, and provide actionable insights has the potential to revolutionize CXM operations. However, to fully leverage generative AI in CXM, organizations must overcome several challenges. These include ensuring adequate technology infrastructure and training data availability, addressing concerns around data privacy, talent shortages, and navigating regulatory complexities. To assess enterprise readiness for implementing generative AI in CXM, Everest Group surveyed CXM, digital transformation, and innovation leaders from 200 companies worldwide. This report combines survey results with Everest Group’s research and expertise to provide data-driven insights into generative AI application, adoption drivers, implementation strategies, and overall organizational readiness. Read on: https://okt.to/XxPH72 Get in touch: Shirley Hung Sharang Sharma Divya Baweja Mohit Kumar