Ep 541: AI & Trust: When 98% accuracy won't cut it and how Sage can fix it
Episode description
Your CFO just lost sleep over a single missing penny... again.
Here's the thing about finance teams: they'll hunt for days to find ONE CENT that's off in their books. Because in accounting, even 98% accuracy = complete failure.
So when it comes to your company's finances and AI, there's a HUGE elephant in the room: trust.
Sage is changing the conversation around AI, trust and your books.
Sage is a global leader in cloud-based accounting, financial management, and business management solutions.
Sage CTO Aaron Harris joins the Everyday AI show to show us the new recipe for trust they're cooking up.
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Topics Covered in This Episode:
- AI Trust Issues with Financial Accuracy
- Sage's 7-Billion Parameter Model Training
- Sage Copilot's Accounting AI Accuracy
- Transparent Trust Labels in AI Usage
- Financial Leaders' Trust in Sage's AI
- Sage's AI Factory Safety Measures
- Sage's Industry Collaboration for AI Accuracy
- AI Implementation Strategy in Accounting
Timestamps:
00:00 AI Trust and Business Accuracy
03:08 CFO's Role in Trust Building
08:14 "Leveraging AI for Financial Growth"
12:23 "Enhancing AI Trust in Finance"
15:56 Early Machine Learning Infrastructure Pioneers
17:53 "Sage AI Factory Overview"
22:48 AI Transparency and Data Safety
24:12 "Trust Label Eases Customer Evaluations"
26:55 "Insights on AI and Industry"
Keywords:
AI trust, 98% accuracy, business leaders, Sage Future Conference, Atlanta, trust in AI, Sage Copilot, accounting software, global software company, Newcastle, North America headquarters, CFO, finance team, financial reports, forecast, budgets, credibility, financial accuracy, creative accounting, large language models, CHAT GPT, task-based AI, accounts payable automation, invoice reading, data science, AI development, neural models, conversational interface, GPT billions of predictions, generative AI, deterministic AI, billions of documents, fine-tuned models, accounting expertise, AICPA partnership, AI factory, automated machine learning, observability, model drift, hallucination detection, Sage AI factory, industry trust signals, safety mechanisms, customer by customer basis, Sage trust label, transparency labels, trustworthiness, ethical AI, responsible AI, AI safety, AI innovation, industry standards, problem-solving, financial trustworthiness.
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