AI models are acing Biology, Physics, and Mathematics exams with flying colors. But is that really what the world needs? What if we started scoring these models on 𝐫𝐞𝐚𝐥-𝐰𝐨𝐫𝐥𝐝 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬, like in procurement and accounting? Imagine an AI that could: 🔍 Demystify data privacy clauses in multilingual global contracts ⚙️ Orchestrate lengthy internal approvals with GRC, Security, IT, Ops, etc 📈 Forecast total expenses and savings for usage-based pricing models 🧾 Determine accurate accounting line allocations for bookkeeping

With OpenAI's launch of Operator yesterday, it's no longer a question of 𝘪𝘧 AI will disrupt the office of the CFO....it's a question of 𝒘𝒉𝒆𝒏. 💡 𝐌𝐲 𝐩𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐧𝐞𝐱𝐭 𝟏𝟎 𝐲𝐞𝐚𝐫𝐬: 🧾 𝐀𝐏 𝐓𝐞𝐚𝐦𝐬 as we know them will be replaced by AI agents overseen by Accounting leadership. 📊 𝐅𝐏&𝐀 𝐀𝐧𝐚𝐥𝐲𝐬𝐭𝐬 will focus on supervising agents that handle re-forecasting and budget approvals. 🔗 𝐅𝐢𝐧𝐚𝐧𝐜𝐞, 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐲, 𝐚𝐧𝐝 𝐤𝐞𝐲 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬 will become seamlessly integrated as data flows more freely and reporting lags vanish.

📢 Excited about AI in Procurement and Business Operations? Join me tomorrow as I dive into this transformative topic with industry rockstars: Freya Hurwitz (Tripadvisor) Garner Blume (Lattice) Melissa Knihtila (Wayfair)

Oh man... where is that time machine when you really need one? Played around with Bitcoin in 2013. Didn't keep any.

This week, amidst all the buzz about "masculine energy," I had the incredible opportunity to attend the first-ever League One Volleyball (LOVB) women's professional volleyball match in Austin, just 15 minutes away from my house! This experience was meaningful to me for so many reasons. It's inspiring to see new opportunities emerging for both men and women to engage with and support women's professional sports. I truly believe this is just the beginning of something amazing.

How many times have you received a spreadsheet only to realize the data you asked for is incomplete, duplicated, mislabeled, or just plain inaccurate? 😖 In 2025, as AI and Gen AI continue to scale, clean data is more critical than ever. With clean data, AI can uncover trends, predict challenges, and streamline decision-making like never before. But how do you get there?