Sajeesh Sahadevan’s Post

Businesses suck at AI (me included). But here’s the thing — it’s not about being perfect from the start; it’s about being better at integrating AI into our strategies.   However, perfection at the start isn't the objective; the goal is to improve how we use AI to create and deploy effective strategies. How can we turn the tide? 📌 1. Focus on Core Strengths: Identify where AI can amplify what your business already does well. Don’t just use AI for the sake of it; use it to enhance your competitive edge. 📌 2. Cultivate Talent: Invest in skilled personnel who not only understand AI but can think strategically about its application in business. Sometimes, the right talent is what bridges the gap between mediocre and great AI implementation. 📌 3. Iterative Implementation: Start small with pilot projects that can scale. Learning from small successes and failures reduces risk and builds understanding. 📌 4. Data Integrity: Ensure your data is clean and organized. AI is only as good as the data driving it, so prioritize data governance. 📌 5. Change Management: Prepare your company for change. AI can cause shifts in workflow, roles, and strategies. Effective communication and training are key.   Acknowledging our shortcomings is the first step towards significant mastery. AI is as a tool that, when used wisely, can redefine how we do business. ✍️ What's your best tip?
 ♻️ Reshare if these are helpful.    #ai #strategy #digitaltransformation #executive

𝐃𝐨𝐧’𝐭 𝐉𝐮𝐬𝐭 𝐁𝐞 𝐅𝐚𝐬𝐜𝐢𝐧𝐚𝐭𝐞𝐝 𝐛𝐲 𝐀𝐈—𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝 𝐚𝐧𝐝 𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭 𝐈𝐭 𝐰𝐢𝐭𝐡 𝐏𝐮𝐫𝐩𝐨𝐬𝐞 In today’s fast-paced world, AI is more than just a buzzword; it's a transformative force. But fascination alone won’t drive success—practical implementation is key. Identifying practical use cases for AI and crafting a readiness plan can set your organization on the path to meaningful progress. 𝐖𝐡𝐲 𝐈𝐝𝐞𝐧𝐭𝐢𝐟𝐲𝐢𝐧𝐠 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥 𝐔𝐬𝐞 𝐂𝐚𝐬𝐞𝐬 𝐌𝐚𝐭𝐭𝐞𝐫𝐬: AI holds immense potential, but its impact hinges on how well you identify and leverage practical applications. According to a McKinsey report, organizations that effectively implement AI see up to a 25% increase in productivity and profitability. The right use cases can drive operational efficiency, enhance customer experiences, and unlock new revenue streams. 𝐓𝐡𝐞 𝐈𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐜𝐞 𝐨𝐟 𝐚 𝐑𝐞𝐚𝐝𝐢𝐧𝐞𝐬𝐬 𝐏𝐥𝐚𝐧: A well-crafted readiness plan is essential for translating AI’s potential into reality. Here’s what it should include: 𝐀𝐬𝐬𝐞𝐬𝐬𝐦𝐞𝐧𝐭 𝐨𝐟 𝐂𝐮𝐫𝐫𝐞𝐧𝐭 𝐂𝐚𝐩𝐚𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬: Evaluate your existing technology infrastructure and team expertise to identify gaps and areas for improvement. 𝐒𝐤𝐢𝐥𝐥 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: Invest in training to ensure your team has the necessary skills to implement and manage AI solutions effectively. 𝐃𝐚𝐭𝐚 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲: Develop a robust data strategy to ensure you have high-quality, relevant data for training and deploying AI models. 𝐄𝐭𝐡𝐢𝐜𝐚𝐥 𝐂𝐨𝐧𝐬𝐢𝐝𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬: Address ethical issues such as data privacy, bias, and transparency to build trust and ensure responsible AI use. 𝐒𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲: Plan for scalability to ensure your AI solutions can grow and adapt to your organization’s needs. As AI expert Andrew Ng wisely said, “AI is the new electricity.” Just as electricity revolutionized industries in the past, AI has the power to drive unprecedented change today. But to harness this power effectively, a thoughtful and strategic approach is essential. 𝐑𝐞𝐚𝐝𝐲 𝐭𝐨 𝐭𝐚𝐤𝐞 𝐭𝐡𝐞 𝐧𝐞𝐱𝐭 𝐬𝐭𝐞𝐩? Start by assessing your current capabilities and laying out a readiness plan tailored to your needs. Share your thoughts and experiences, or reach out if you need guidance on getting started. Let’s turn AI fascination into purposeful action! #AI #ArtificialIntelligence #BusinessStrategy #Innovation #TechTrends #DataStrategy #EthicsInAI #Scalability

How can your business thrive by integrating AI effectively? Here are some insights on making AI work for you! 🤖 When we consider implementing AI in business operations, it's crucial to start with a clear vision. 🎯 With us, we outline specific problems we aim to resolve with AI, which helps tremendously in guiding your integration strategy. Here are the key steps to effectively integrate AI into your business: 1. **Define Your Objectives:** Start by understanding the challenges you want AI to tackle. 2. **Assess Data Readiness:** Ensure your data systems are robust enough to support AI functionalities. 3. **Choose the Right AI Solution:** Opt for technologies that align with your business needs. 4. **Prioritize Change Management:** Equip your team with the necessary training and support. 5. **Monitor and Measure Success:** Keep a close eye on performance and adapt as necessary. 6. **Ensure Data Privacy and Security:** Always protect your sensitive information. 7. **Foster a Culture of Innovation:** Encourage ongoing learning and experimentation. 🔥 Pro Tip: Change management is key. When we first introduce AI at any firm, regular training sessions and open communication help ease the transition for our team. This not only made the process smoother but also maximized the benefits from the technology - and it can be delivered by AI too! ➡️ Think your business can benefit from AI? Have you started integrating AI technologies? What challenges and successes have you encountered? 👇 Share your stories or ask for tips below! #AI #BusinessTransformation #DataPrivacy #Innovation #AIAutomations

From Vision to Execution: Implementing AI Technologies for Sustainable Business Growth Incorporating Artificial Intelligence (AI) into your business strategy isn’t just about staying current—it’s about positioning your organization for sustainable growth. To move from vision to execution effectively, businesses need a clear roadmap that translates AI potential into tangible results. Here’s how to achieve it. 🌟 Define Clear Objectives and KPIs Start by setting specific, measurable objectives for your AI initiatives. Whether it’s enhancing customer experience, optimizing operations, or driving innovation, having clear goals and Key Performance Indicators (KPIs) ensures that AI projects align with your overall business strategy. 🎯 Invest in the Right Technology and Talent Selecting the right AI technologies and tools is crucial. Evaluate solutions based on your business needs and ensure they integrate seamlessly with existing systems. Equally important is building a team with the skills to implement and manage these technologies. Invest in training and attract talent with expertise in AI to drive your projects forward. 🛠️ Foster a Data-Driven Culture AI thrives on data. Cultivate a culture that prioritizes data quality and accessibility. Implement robust data governance practices to ensure that the data feeding your AI systems is accurate, relevant, and secure. This foundational step is key to leveraging AI effectively and making informed decisions. 📊 Start Small and Scale Gradually Begin with pilot projects to test AI applications on a smaller scale before full-scale deployment. This approach allows you to refine processes, address challenges, and demonstrate value before scaling up. Gradual implementation reduces risk and builds confidence in your AI strategies. 🚀 Monitor and Adjust AI implementation is not a one-time effort but an ongoing process. Continuously monitor the performance of AI systems against your KPIs. Use these insights to make iterative adjustments, ensuring that your AI technologies evolve in line with your business needs and market conditions. 🔄 Ensure Ethical and Responsible AI Use As you integrate AI, adhere to ethical guidelines and best practices. Ensure transparency, fairness, and accountability in AI applications to build trust with stakeholders and mitigate risks associated with AI adoption. ⚖️ Successfully implementing AI technologies requires a strategic approach, from defining clear goals to ensuring ethical practices. By investing in the right tools and talent, fostering a data-driven culture, and scaling gradually, businesses can harness AI’s power for long-term, sustainable growth. Transform your vision into reality and drive your business forward with AI. 🌐 #AI #BusinessGrowth #DigitalTransformation #Innovation #DataDriven #SustainableGrowth

Are you a business owner pondering how to implement AI in your company? 🤔 Here are 10 crucial things to consider before taking the plunge: 🔧 AI isn't a miracle worker: It can't transform bad processes. Focus on optimising your processes first. 📊 Data quality is crucial: Remember, "Sh*t in, Sh*t out." If you have poorly managed data, your AI output will never suffice. 📚 AI literacy trumps AI implementation: Prioritise AI literacy for your employees over hasty implementation. 🔍 Stay informed: AI won't be your company core focus, let experts keep you informed until you can manage it internally. 🌐 AI has broad applications: Every department could potentially benefit from AI, but it's not a foregone conclusion. Assess each area carefully. 🏗️ Legacy systems can hinder AI integration: Outdated systems may not integrate well with AI, potentially leaving you in technical debt. 🤝 Create a safe, collaborative environment: Implement "learn by proxy" initiatives and assure employees their roles are safe. ⏱️ Encourage daily AI exploration: Allocate 15 minutes per day for all staff to use AI and report back weekly. This builds habits of "AI-first" thinking. 📜 Understand AI dos and don'ts: Educate yourself on AI compliance and policy-making to create appropriate guidelines for your organization. 🚀 Embrace bottom-up AI adoption: Recognize that employees are already using AI to improve their workflows. Embrace change management and educate them on the pros and cons of AI usage specific to your company. Remember, successful AI implementation is about strategic integration, not just adoption. It requires careful planning, employee involvement, and a clear understanding of how AI aligns with your business goals. 🎯 What steps are you taking to prepare your business for the AI revolution? Share your thoughts and experiences in the comments below! 💬 #AIImplementation #BusinessStrategy #Tech #Innovation

🚀 Harnessing AI: Strategies for Success and Social Impact🚀 The digital revolution is accelerating, and AI is at the forefront. According to a recent EY survey, there are five pivotal strategies for successful AI adoption that can transform our organizations and communities. 🔑 Key Takeaways: 1. Elevate Data Management: High-quality data is the foundation of effective AI. Strengthen your data practices to unlock AI’s full potential. 2. Cultivate Innovation: Foster a culture where innovation thrives. Encourage your teams to explore and experiment with AI technologies. 3. Strategic Alignment: Ensure your AI projects align with overarching business goals to drive impactful outcomes. 4. Empower Your Workforce: Invest in training and development to equip your teams with AI skills. 5. Ethical AI: Commit to ethical AI practices to build trust and drive responsible innovation. The journey towards AI excellence is a shared one. I’d love to hear how your organizations are embracing AI. Let’s exchange insights and elevate our collective efforts! Drop your thoughts in the comments below. 👇 #AIInnovation #DigitalTransformation #Leadership #DataExcellence #EthicalAI #TalentEmpowerment #StrategicAlignment #SocialImpact #TelevisaUnivision

GUILD4AI AI ecosystem sharing news, usages, bringing together speakers, experts, market players. #guild4ai Digital and AI Transformation that the issue now ! Many thanks to Eric Chaniot from Microsoft #microsoft ✅ Rewiring for digital and AI Explore our collection of insights on how to drive successful digital transformations. ✔️ Explore McKinsey & Company What it takes to rewire a CPG company to outcompete in digital and AI June 12, 2024 - Answering six specific questions holds the key to successful digital and AI transformations for CPG companies. ☑️ https://lnkd.in/dWjuQ7z9 Implementing generative AI with speed and safety March 13, 2024 - Generative AI poses both risks and opportunities. Here’s a road map to mitigate the former while moving to capture the latter... https://lnkd.in/gRy8brtH ✅ https://lnkd.in/dBmDrWwK Sent from McKinsey Insights, available in App Store: https://lnkd.in/gxnDY-Pw and Play Store: https://lnkd.in/fEdtpCq Follow GUILD4AI AI ecosystem sharing news, usages, bringing together speakers, experts, market players. ✅ Guild4ai Guild4AI – THE CIRCLE An exclusive ecosystem dedicated to shaping the future of Artificial Intelligence Guild4AI- THE CIRCLE is the crossroads where enthusiasts, experts, investors and visionaries meet to explore, innovate and transform the AI landscape. By joining our private CIRCLE, you gain access to a unique ecosystem where ideas are transformed into impactful projects, where continuous learning is our motto, and where each member actively contributes to ethical and responsible AI. ☑️ "It seems obvious to say that humanity is everything and that individually we are nothing. It is surely from this observation that GUILD4AI was born: intelligence is collective and nothing is more natural than bringing together an ecosystem of enthusiasts engaged in the evolution of artificial intelligence with ethics and responsibility. Christian JUMELET-Founder of GUILD4AI ☑️ https://guild4ai.ai Yes: We also talked about building AI solutions in a multi-cloud environment. Clearly, Generative AI can help us identify the key topics that need to be covered. Now, this transformation is all about execution, and this is where humans will play a critical role. #AI #DigitalTransformation #AITransformation #DataPrivacy #ChangeManagement #LegacySystems #BusinessStrategy #Innovation #Leadership #TechTrends

In today's post, I want to address a critical topic - the adoption of AI in the consulting landscape. It's an exciting area, full of promise but also fraught with potential missteps. Here are some of the most common mistakes consultants make in this arena: 1. **Overestimating AI:** AI is revolutionary, but it can’t solve every problem. Ensure you have a realistic understanding of what AI can, and more importantly, cannot do, to avoid disappointments. 2. **Lack of strategic vision:** AI adoption isn’t just about the latest technology. It should align with business objectives and strategies. Without a well-defined roadmap, the AI journey can quickly turn into an aimless expedition. 3. **Neglecting data quality:** High-quality, structured data is the lifeblood of AI. Picking the right data, cleaning it, and ensuring it is bias-free is crucial. A model trained on poor data can lead to flawed decision-making. 4. **Ignoring ethical considerations:** AI can impact jobs, privacy, and security. Transparent communication, fairness in decision-making, and respect for individual autonomy must be part of the AI adoption conversation. 5. **Underestimating the human factor:** AI is a tool, not a replacement for humans. Balancing the human-touch with automation is key. Neglecting the importance of the human element can lead to resistance and even failure in AI adoption. 6. **Failure to continually learn and adapt:** AI is a rapidly evolving field. Standing still isn’t an option. Continuous learning, staying abreast of developments, and adapting business strategies accordingly is essential. Remember, embracing AI is not just about technological transformation. It's about cultural change, it's about responsible decision-making, and it's about fostering a learning mindset. Let's navigate this journey thoughtfully. #AI #Consulting #BusinessStrategy #AIAdoption #LessonsLearned

This week, I had the honor of being invited by a board to discuss Digital and AI Transformation. I asked Copilot to highlight the five key challenges companies face with this type of transformation, and I reflected on the discussions and questions I encountered. 1. Lack of Internal AI Expertise: Many traditional companies lack the necessary AI expertise within their workforce, making it difficult to develop, implement, and maintain AI solutions effectively. Yes: We definitely spent time talking about AI expertise and building an AI Transformation Factory. 2. Data Quality, Privacy, and Security: Ensuring the quality, privacy, and security of data is crucial for AI projects. Traditional companies often struggle with data silos, inconsistent data formats, and stringent privacy regulations. Yes: It was a topic of discussion, and we also talked about Responsible AI. 3. Quantifying ROI: Measuring the return on investment (ROI) for AI initiatives can be challenging. Traditional companies may find it difficult to justify the costs and resources required for AI projects without clear, quantifiable benefits. Yes: We talked about involving business leaders with the Digital and AI teams and having clear business objectives. 4. Cultural Resistance: Employees may resist AI adoption due to fears of job displacement or a lack of understanding of AI’s benefits. Overcoming this resistance requires effective change management and communication strategies. Yes: We spent time discussing change management and the investments required to make these changes happen. 5. Integration with Legacy Systems: Traditional companies often rely on legacy systems that are not designed to work with modern AI technologies. Integrating AI with these systems can be complex and costly. Yes: We also talked about building AI solutions in a multi-cloud environment. Clearly, Generative AI can help us identify the key topics that need to be covered. Now, this transformation is all about execution, and this is where humans will play a critical role. #AI #DigitalTransformation #AITransformation #DataPrivacy #ChangeManagement #LegacySystems #BusinessStrategy #Innovation #Leadership #TechTrends

🚀 Embracing AI in Your Business? Start with the Essentials! 🚀 In the rapidly evolving world of artificial intelligence, it's crucial not to jump too far ahead. As someone deeply immersed in AI and automation, I've observed that successful integration begins with mastering the basics. 👉 Here's a distilled essence of what I've learned and what recent studies underscore: 1. Define Your AI Strategy : Before diving in, clearly define what you aim to achieve with AI. What problems are you solving? This clarity helps in selecting the right technologies and approaches. 2. Develop a Robust Data Strategy : AI thrives on quality data. Ensure your data is accurate, well-organized, and relevant. Remember, the output is only as good as the input. 3. Build a Strong Foundation : Having robust infrastructure and skilled personnel is non-negotiable. Before scaling your AI projects, ensure these elements are solidly in place. 4. Start Small, Scale Smartly : Begin with manageable projects that deliver quick wins. This approach not only builds confidence but also demonstrates the tangible benefits of AI to your stakeholders. 5. Focus on Business Outcomes : Align AI initiatives with business goals. It's all about enhancing business value, not just deploying new tech. 6. Engage Broadly with Stakeholders : AI's success hinges on cross-functional collaboration. Engage stakeholders to ensure collective alignment and effort. 7. Monitor and Adapt : AI is not set-and-forget. Continuously evaluate performance against your goals and be ready to pivot as needed. 8. Address AI Ethics and Bias : Ethical AI is non-negotiable. Plan proactively to manage biases and uphold transparency and accountability. 🔍 According to Gartner, by 2025, half of all organizations will have integrated AI automation to bolster their digital strategies. McKinsey echoes this sentiment, noting up to a 30% boost in productivity in certain sectors through AI automation. 🤖 For us in AI and automation, these insights are not just interesting; they're actionable. We're tasked not only with engineering solutions but also with shaping them to be ethical, equitable, and aligned with broader business objectives. 💡 What's your approach to integrating AI? Have you encountered challenges in aligning AI with business outcomes or in managing data effectively? #ArtificialIntelligence #Automation #DataStrategy Let's continue this conversation in the comments below or feel free to share this post with others who might find it helpful!