Tanya Robertson’s Post

#AI is all the rage, but ensuring your organization’s data readiness is crucial to the success of any AI project. How do you know if your data is AI ready? Tap through the slides to find out where your organization is on its AI journey. Ready to take the next step on the path to AI-driven success? Take BUILT’s free AI-readiness self-assessment. https://lnkd.in/gA2HdVSg #data | #datamaturity | #AIreadiness | #digitaltransformation

💡 𝐀𝐈 𝐈𝐬 𝐎𝐧𝐥𝐲 𝐚𝐬 𝐒𝐦𝐚𝐫𝐭 𝐚𝐬 𝐭𝐡𝐞 𝐃𝐚𝐭𝐚 𝐁𝐞𝐡𝐢𝐧𝐝 𝐈𝐭 💡 In today’s fast-paced world, AI is helping businesses innovate and grow like never before. But here’s the secret: It’s not just about fancy algorithms – it’s about the quality of the data fueling them. That’s where 𝐝𝐚𝐭𝐚-𝐜𝐞𝐧𝐭𝐫𝐢𝐜 𝐀𝐈 comes into play. In our latest blog, we dive into: Why focusing on 𝐛𝐞𝐭𝐭𝐞𝐫 𝐝𝐚𝐭𝐚 (not just more data) is a game-changer. How 𝐝𝐚𝐭𝐚-𝐜𝐞𝐧𝐭𝐫𝐢𝐜 𝐀𝐈 is transforming industries and solving real-world problems. Simple tips to get your organization ready for this powerful approach. AI doesn’t have to be complicated, but it does need good data to thrive. Ready to unlock the true potential of AI in your business? 👉 𝐂𝐡𝐞𝐜𝐤 𝐨𝐮𝐭 𝐨𝐮𝐫 𝐛𝐥𝐨𝐠 𝐭𝐨 𝐥𝐞𝐚𝐫𝐧 𝐡𝐨𝐰 𝐝𝐚𝐭𝐚-𝐜𝐞𝐧𝐭𝐫𝐢𝐜 𝐀𝐈 𝐜𝐚𝐧 𝐭𝐚𝐤𝐞 𝐲𝐨𝐮𝐫 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐭𝐨 𝐭𝐡𝐞 𝐧𝐞𝐱𝐭 𝐥𝐞𝐯𝐞𝐥: https://lnkd.in/dCqHsmR4 #TechForceServices #DataCentricAI #SmarterAI #DataDrivenSuccess #AIInnovation #BusinessGrowth #AIForEveryone

To start your big AI journey, sometimes it’s best to start small. This often starts with AI’s key ingredient, data. A solid data foundation is crucial to success with AI. Kickstart your journey now. https://okt.to/H1NEFl

Want to implement #AI in your organization but don't know where to start? 🧐 Sr. Director David Dina's latest article, "Kickstart Your AI Journey: To Drive Big Growth, Start With Small Steps," provides a practical approach for organizations with immature data environments. Starting small with well-defined projects that deliver immediate value is key. This builds momentum and secures approval for future projects, gradually developing your data strategy and AI capabilities. Read more here 👉🏻 https://okt.to/H1NEFl #AImplementation #digitaltransformation #artificialintelligence

Data and analytics leaders know the importance of preparing data for AI initiatives. AI-ready data is key to unlocking the full potential of AI efforts. Here are five essential steps to make your data AI-ready: - Assess data needs for specific AI use cases. - Secure board buy-in for the requirements. - Enhance data management practices to meet AI standards. - Expand the data ecosystem to support AI effectively. - Implement governance and scalability measures for data readiness. By following these steps, ensure your data is ready for the AI projects you plan to pursue, while keeping stakeholders aligned on the significance of AI-ready data. #DataAnalytics #AI #DataManagement #ArtificialIntelligence

Everyone is buzzing about AI, but are we talking enough about data readiness? Before adding generative AI tools to your tech stack, it’s critical to take a step back and assess the state of your data. Simply integrating new technology without laying a solid data foundation can lead to risks and inefficiencies. Learn how to properly prepare your data for AI success: https://lnkd.in/eJwirXrn #LegalAI #GenerativeAI #DataReadiness #DataGovernance #AIInitiatives #infogov #legaltech #datamanagement

Feeding poor-quality data into AI could have far-reaching effects. This could lead to huge decision blunders, severely affecting business growth and success. Overly curated data isn't good either. This is because it could lead to worse outcomes due to bias in the data cleansing process. On the other hand, high-quality data ensures that AI models are reliable and accurate. This results in dependable predictions, creating trust in the data. See more here: https://bit.ly/48Ig4gk #DataQuality #DataReliability #AIBasedDecisions

Feeding poor-quality data into AI could have far-reaching effects. This could lead to huge decision blunders, severely affecting business growth and success. Overly curated data isn't good either. This is because it could lead to worse outcomes due to bias in the data cleansing process. On the other hand, high-quality data ensures that AI models are reliable and accurate. This results in dependable predictions, creating trust in the data. See more here: https://bit.ly/48Ig4gk #DataQuality #DataReliability #AIBasedDecisions

Feeding poor-quality data into AI could have far-reaching effects. This could lead to huge decision blunders, severely affecting business growth and success. Overly curated data isn't good either. This is because it could lead to worse outcomes due to bias in the data cleansing process. On the other hand, high-quality data ensures that AI models are reliable and accurate. This results in dependable predictions, creating trust in the data. See more here: https://bit.ly/48Ig4gk #DataQuality #DataReliability #AIBasedDecisions

Gen AI + Data Modernization: A Perfect Match! See how Gen AI can revolutionize your data strategy, from ensuring data quality to enabling real-time insights. Explore Mastek's "Basecamp" framework and find out how you can leverage these technologies for a brighter future. Read more here! https://lnkd.in/gzgzqpMS Vijay Iyer Raman Sapra Raman Awal Lokesh Khosla Brandt Bogdanovich #GenAI #DataStrategy #AI #DataModernization