Edelman’s Post

#AI tips 1. Define Your Purpose: Identify the specific challenges that AI can help address in your business. Are you seeking to enhance customer experience, streamline operations, or unlock new revenue streams? 2. Ready Your Data: AI thrives on data. Ensure your data is clean, reliable, and effectively organized. This will lay a solid foundation for your AI endeavors. 3. Build or Buy: Depending on your goals and resources, you might opt to develop your AI capabilities in-house or leverage external expertise. Both approaches have benefits, choose wisely. 4. Implement and Iterate: Roll out your AI strategy, then monitor and adjust. Are you meeting your initial goals? Keep refining based on performance and feedback. 5. Ethics and Compliance: AI should be used responsibly. Stay informed about potential bias in AI algorithms, and adhere to the latest AI ethics and privacy guidelines. AI is not a future consideration only - it's a present necessity. Regardless of the size of your business, there are ways you can start leveraging AI now. How are you incorporating AI in your business strategy? #AI #BusinessStrategy #DataManagement #EthicsinAI

Decision making and AI. I've seen a lot of confusion online regarding what types of decisions AI can make. People are scared about losing their jobs if AI gets to make the decisions. So, what are the types of decisions that AI doesn't make? Anything that involves "intuition and context understanding." Is AI going to build your relationships? No. Is it going to give you a strategic vision? No. Going beyond data? No. Legal decisions? No. These and many more can use AI for intelligent decisions, but they're not supposed to be made by AI. However, the types of decisions AI can make are: - Recommendations - Predictions - Approvals - Personalization - Content creation - Scenario simulation These, and such, completely or partially lack ethical, contextual, and emotional understanding. To benefit from AI, there need to be humans. If not, whose problem would it even be, right? The TL;DR is: use it to help you with decisions. Use it to make yourself smarter. Use it to save your time. If you think AI is going to make important decisions for you as you would have, it's a false thought.

AI isn't ready to replace humans (...here's what 6 months of real-world usage has taught me): With AI hype at an all-time high, it's crucial to cut through the noise. I've been using AI tools like ChatGPT and Claude extensively in my business for the last 6 months. And while the results have been incredible... The reality is, AI is NOT a magic bullet. It won't replace humans anytime soon. Here are 3 key things I've learned about the current state of AI: 1️⃣ AI is an efficiency tool, not a replacement for skill. AI can help you work faster by generating ideas and first drafts. But it doesn't replace the need for human creativity, critical thinking, and editing. AI assists skilled operators, it doesn't make skill obsolete. 2️⃣ AI outputs require fact-checking. AI models can produce very convincing outputs. But they can also generate completely false information stated as fact. Blindly trusting AI content without verifying accuracy is dangerous. Human oversight is essential. 3️⃣ AI benefits from human collaboration. The best results come from humans working WITH AI, not just prompting it in isolation. Crafting prompts, reviewing outputs, and iterating together with AI is the real value unlock. AI shines when it's treated as a collaborative partner. Is AI incredibly powerful and full of potential? Absolutely. 100 percent. No question. But... It's a long way from being able to operate independently. For now, AI is best used as a tool to augment human intelligence. Not replace it. --- ✴️ TAKEAWAY: If you're exploring AI for your business, go in with eyes wide open. Be realistic about what it can and can't do today. Ignore the hype and let results guide you. The future is bright, but we're still in the early innings.

Ever wondered what it feels like to see AI mimic your own communication style? I recently fine-tuned a model on1000 of my own comments and DMs. Curious about the outcome? It restructured a sizeable 688-character post into a mere 103-character message. All because the AI had been nurtured on my concise social interactions. But here's the crux—when we encounter poor quality AI-generated content, we must acknowledge the root problem isn't the AI itself. It's about the inputs. Garbage in, garbage out, as they say. We could debate the appropriateness of AI in certain contexts. Nevertheless, the current issue isn't the technology; it's the application. Do you think some applications should be completely off the table for AI? Your thoughts are valuable. Share your insights below.

🤖 AI: Revolutionary Technology or Ethical Dilemma? 🧠 - AI continues to reshape industries and our daily lives, but are we truly considering the ethical implications of this rapid advancement? - The allure of AI's potential is undeniable, from improving efficiency to transforming customer experiences. However, are we prepared to address the complexities it brings? - As we push the boundaries of what AI can achieve, we must also tread carefully to ensure that our innovations align with ethical standards and respect fundamental human values. - It's essential to remember that behind the algorithms and data sets are real people whose lives can be deeply impacted by the decisions we make in the realm of AI. - As professionals in this field, it's our responsibility to steer the course of AI development towards a future that is not only innovative but also ethical and just. - Let's engage in meaningful discussions, challenge conventional norms, and strive to create AI solutions that serve humanity while upholding moral integrity. - The path ahead may be complex, but by embracing this challenge with a conscientious mindset, we can shape a future where AI is a force for good.🌟

Can Sweden afford to wait and see with AI? A recent EY study reveals that only 25% of Swedish companies are investing in generative AI, significantly lower than the global average of 43%. Moreover, concerns from the Swedish AI Commission suggest that Sweden is already lagging behind. While we may have lost the battle for AI infrastructure—such as chips and computing power—to the US and China, there remains an opportunity to become a frontrunner in effective AI utilization. Sweden's small size and high levels of trust among citizens and institutions could be leveraged to rapidly embrace AI transformation. However, achieving this requires broad and deep AI competence. I believe it is every business leader’s responsibility to start educating their staff and adapting industry practices to this new way of working. It's crucial to understand that AI will impact every area of business, from product development to finance. We must create a culture of curiosity and innovation where every department is challenged to reevaluate its operations. Your IT department cannot undertake this transformation alone; it must be embraced across all functions. At Mavera, we are committed to developing ways for AI to revolutionize personal injury claims management. We frequently invite the industry to learn and adopt these advancements. Feel free to contact me directly to discuss how we can help transform your business with AI.

🤖 AI - Are We Ready For the Next Evolution? 🔹 AI, the buzzword that's been dominating conversations in every industry. But are we truly prepared for the potential and risks it brings? 🔹 As we marvel at the advancements in AI technology, let's not forget the ethical implications that come with it. Are we laying down the right foundation to ensure AI is used responsibly and ethically? 🔹 The rate at which AI is evolving is both astounding and a bit frightening. It's not just about technological progress; it's about how we shape our future with it. 🔹 AI has the power to revolutionize industries, enhance efficiencies, and bring about unprecedented innovation. But are we putting enough emphasis on the human-centric approach in AI development? 🔹 Let's remember that AI is only as good as the data it's fed. The biases and prejudices in data can seep into AI algorithms, amplifying societal inequalities. How can we mitigate this risk effectively? 🔹 Are we fostering a culture of transparency and accountability in AI development? It's crucial to ensure that AI systems are explainable and that the decision-making process is clear and fair. 🔹 The potential benefits of AI are immense, but so are the challenges. It's time for us to have thoughtful discussions, set stringent standards, and create frameworks that prioritize ethical AI use. 🔹 AI is not just a technological advancement; it's a societal transformation. Let's tread carefully, ensuring that the path we pave with AI leads us towards a future that's inclusive, fair, and brimming with possibilities. 🔹 So, let's ask ourselves, are we truly ready for the next evolution of AI? Let's strive for a future where AI works hand in hand with humanity, augmenting our capabilities and enriching our lives.

I am biased. AI is biased. Humans are inherently biased, and while machines could theoretically be judgment-free, AI is highly biased as well as it mirrors our imperfections.   Most AI is trained on Western data, representing only a small part of the global population. Despite the perception of neutrality in this data - itself a biased view - it prioritizes Western-centric perspectives, overlooking the diverse realities of the rest of the world.   With AI now being implemented across industries driven by the push for increased efficiency - and of course FOMO - these biases are making their mark. From HR and surveillance to healthcare, mortgage approvals and more, AI’s biases lead to discriminatory outcomes in hiring, law enforcement, medical decisions and financial services. So, it’s encouraging to read in Forbes about initiatives like the FAIRer AI framework - focused on Fair Data, Audits, Inclusivity, and Regulation - aiming to tackle these biases.   Yet, as long as humans are involved, AI will never be 100% bias-free. 😊 Read more in Forbes: How AI Traps Our Hidden Biases and What We Can Do to Break Free (https://lnkd.in/ddCYpH8h)

AI isn't just hype. It's reshaping business. Here's why it matters: AI companies are valued 2.5x higher than others. Their productivity jumped 50-70%. Growth projections for 2024: Non-AI firms: 14%  AI firms: 23% Major corporations are pivoting to AI-first. But some still worry about AI errors: hallucinations six fingers Others claim it's just a bubble. They're missing the point. AI is transforming business NOW. It's not going away. The choice is simple: Adapt or fall behind. How are you getting ready for AI revolution? --- ⏩ Follow Andrejs to prepare for AI era 🔄 Consider reposting if you found this insightful

Top 10 Mistakes Companies Make in AI Strategy: 1. 𝐔𝐧𝐝𝐞𝐟𝐢𝐧𝐞𝐝 𝐆𝐨𝐚𝐥𝐬: Jumping into AI without clear, measurable objectives? That's a recipe for confusion and wasted resources. 2. 𝐈𝐠𝐧𝐨𝐫𝐢𝐧𝐠 𝐃𝐚𝐭𝐚 𝐐𝐮𝐚𝐥𝐢𝐭𝐲: AI thrives on quality data. If your data's a mess, your AI outcomes will be too. 3. 𝐎𝐯𝐞𝐫𝐥𝐨𝐨𝐤𝐢𝐧𝐠 𝐄𝐭𝐡𝐢𝐜𝐬: Forgetting about AI ethics? This can lead to biases, privacy issues, and damaged reputations. 4. 𝐍𝐨 𝐀𝐈 𝐄𝐱𝐩𝐞𝐫𝐭𝐬: AI isn't just plug-and-play. You need skilled professionals to get it right. 5. 𝐎𝐯𝐞𝐫𝐡𝐲𝐩𝐞𝐝 𝐄𝐱𝐩𝐞𝐜𝐭𝐚𝐭𝐢𝐨𝐧𝐬: AI isn't a magic wand. It’s powerful, but it takes time to see real results. 6. 𝐋𝐚𝐜𝐤 𝐨𝐟 𝐒𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲: Your infrastructure needs to scale with your AI ambitions. Plan ahead. 7. 𝐈𝐠𝐧𝐨𝐫𝐢𝐧𝐠 𝐂𝐡𝐚𝐧𝐠𝐞 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭: AI changes how people work. Don’t leave your team behind. 8. 𝐓𝐞𝐜𝐡 𝐎𝐯𝐞𝐫 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐈𝐦𝐩𝐚𝐜𝐭: Don’t get lost in the tech. Align AI with your business goals for real impact. 9. 𝐒𝐡𝐨𝐫𝐭-𝐓𝐞𝐫𝐦 𝐅𝐨𝐜𝐮𝐬: Think long-term. AI is an evolving journey, not a quick fix. 10. 𝐍𝐨 𝐈𝐭𝐞𝐫𝐚𝐭𝐢𝐨𝐧: AI strategies need continuous measurement and refinement. Don’t set it and forget it. At GPTStrategic, we’ve seen these mistakes too often. Want to ensure your AI strategy is: ✅ Smart ✅ Scalable ✅ Successful Let’s connect!