Night Market’s Post

Recently, I contributed an article to the United Nations Conference on Trade and Development (UNCTAD) about the role of AI in decision-making.   Here are some takeaways: ➡️ AI’s potential in decision-making is still underutilized despite impressive advancements in other areas. ➡️ Critical challenges for AI in decision-making include its "black-box" nature and its struggle with causal reasoning. There is an urgent need to design AI systems that are explainable and allow users to incoporate domain knowledge. ➡️ Transparent AI systems offer benefits that go way beyond ethical considerations. They enable users to benchmark AI insights against their own expertise, which typically results in better decisions.   Thanks Dmitry Plekhanov for inviting me to write this piece!   Link to full article: https://lnkd.in/dZcXPnis   #DecisionMaking #DataAnalytics #XAI #CausalAI #MAS

Probably not the best idea to suggest that in 2024 data leaders will feel comfortable "betting the business" on AI and then immediately argue that these same leaders need to focus on managing complexity better and put systems in place to trust AI output. Most people acknowledge the transformative potential of AI, but the breathless acceptance of it as a panacea is just dumb. Empower your analytics with self-service access to data, put some mechanisms in place to make sure data is well-governed. Profit. Don't bet the business on anything that hasn't proven value. https://lnkd.in/exUWp6Gg

Taking an enterprise-level approach to #AI strategy allows an organization benefit from the greater economies of scale and create better collaboration. In Fast Company my colleague, Traci Gusher outlines other steps to effectively leverage your #data in the AI era:

The indispensable role of data in unlocking the full potential of generative AI is unpacked in-depth by McKinsey. The authors provide valuable insights and real-world examples of how organizations are leveraging their data assets to drive GenAI innovation and gain a competitive edge. Whether you're starting your GenAI journey or looking to take your strategy to the next level, McKinsey provides a useful roadmap: https://lnkd.in/ewn5a-tm #datadividend #generativeAI #datagovernance #responsibleAI #futureofinnovation

Learn more about the role of #AI and #bigdata in #decisionmaking with our blog. Discover how these technologies are transforming sectors like healthcare, finance, and retail. We also delve into the ethical considerations and challenges involved with AI implementation. Read the blog today! 🔗👉 https://bit.ly/3RX9Ra1

What are the keys to using your #data effectively to find value in your organization's #AI strategies? My EY colleague, Traci Gusher, lays out seven steps in her latest article for Fast Company

Embarking on your #AI journey? Don't overlook the critical role of a robust data foundation! 🧱 In this insightful article with MicroScope (TechTarget), AvePoint’s UK Channel Manager Chris Shaw shares valuable insights on why establishing a solid data strategy is key for MSPs looking to unlock AI's full potential. Read the piece here: avpt.co/3VLJF50 #AI #DataManagement #ChannelPartners #AVPT

Revolutionise your business with Raykis. Wondering why your strategies aren't hitting the mark? Maybe it's time to embrace the power of AI. Dive into the future of data-driven success with Raykis – your online blueprint for business excellence. Have a look at the latest article exploring how AI can transform decision-making. https://ow.ly/1zYw50QrBFp #RaykisRevolution #AIBusiness

As organizations integrate AI, ensuring that their data is clean, well-organized, and properly managed becomes critical. 
 Learn more about the right data strategy for AI in this Forbes article by our CEO, Adrian Carr.

💬 "Building trust in AI requires transparency and consistent performance. It's about ensuring that AI systems are not just powerful but also reliable and understandable." Our very own, Sean Knapp, was recently featured in a Forbes article discussing one of the most pressing issues in AI today—trust. Check out the full article here: https://lnkd.in/gcMbdUcd 👉 How do you think we can enhance trust in AI systems? Share your thoughts in the comments below! #AI #DataQuality #DataEngineering