🌟 Yesterday, I had the privilege of speaking with a forward-thinking data leader passionate about maximizing the potential of AI within their organization to unlock productivity. Despite having a skilled team of data analysts and business intelligence engineers adept at building dashboards and data wrangling, they're just beginning to explore the possibilities of machine learning.
𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬 𝐭𝐡𝐞𝐲 𝐟𝐚𝐜𝐞:
1. 𝐀𝐝 𝐡𝐨𝐜 𝐑𝐞𝐩𝐨𝐫𝐭 𝐑𝐞𝐪𝐮𝐞𝐬𝐭𝐬:: Constant ad-hoc requests for analyses and reports from businesses limits time for strategic ML initiatives.
2. 𝐁𝐮𝐝𝐠𝐞𝐭 & 𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞 𝐂𝐨𝐧𝐬𝐭𝐫𝐚𝐢𝐧𝐭𝐬: They have a limited budget but big aspirations to enhance organizational value through AI. They want to empower their in-house data experts to incorporate AI in their daily tasks for efficiency.
3. 𝐒𝐞𝐜𝐮𝐫𝐞 𝐀𝐈 𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧: They do not want to use external providers due to sensitive nature of their data and regulatory concerns.
This morning, I tried to take a stab at one of the borderline similar problems we discussed. I took a similar dataset from Kaggle, analyzed it, measured its data quality, handled imbalance, trained a model, and launched it as an interactive web UI and API. To top it off, I distilled all this into an interactive report (MarkovML snippets)—all in about 20 minutes while suppressing my desire to code 😊!
🚀 𝐓𝐡𝐞 𝐤𝐞𝐲 𝐭𝐨 𝐬𝐮𝐜𝐡 𝐬𝐩𝐞𝐞𝐝? The right tools tailored for the right users, enabling them to achieve results quickly and efficiently. At MarkovML, our mission is to empower knowledge workers to blend their expertise with AI, thereby enhancing business value and unlocking new levels of innovation and productivity.
👉 𝐂𝐡𝐞𝐜𝐤 𝐨𝐮𝐭 𝐭𝐡𝐞 𝐫𝐞𝐩𝐨𝐫𝐭 𝐡𝐞𝐫𝐞: https://lnkd.in/gjVbaXCx
📢 𝐈𝐧𝐭𝐞𝐫𝐞𝐬𝐭𝐞𝐝 𝐢𝐧 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐡𝐨𝐰 𝐀𝐈 𝐜𝐚𝐧 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦 𝐲𝐨𝐮𝐫 𝐝𝐚𝐭𝐚 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬? Drop a comment or send a message, and let’s discuss how we can accelerate your data to AI transformation journey!
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IT BI Manager @ JBS | Qlik Platforms
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