Uplimit raises stakes in corporate learning with suite of #AgenticAI that can train thousands of employees simultaneously https://
venturebeat.com/ai/uplimit-rai
ses-stakes-in-corporate-learning-with-suite-of-ai-agents-that-can-train-1000-employees-simultaneously/
… via @VentureBeat
ENTERPRISE AI
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Uplimit AI Agents Enable Training Thousands Corporate Employees Simultaneously
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OpenAI Updates Rate Limits with Support from DeepMind
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Rate limits have been updated! Thank you to @OfficialLoganK and @GoogleDeepMind
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AI/BI Genie APIs Enable Self-Service Data Insights Integration
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Our new AI/BI Genie Conversation APIs empower users to self-serve data insights from their favorite productivity tools and custom-built apps. Programmatically embed AI/BI Genie into popular apps like Slack and Teams or seamlessly integrate it with Mosaic AI Agent Frameworks.
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Agentic AI Transforms Models Into Practical Productivity Tools
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Agentic AI is turning powerful #AI models into practical tools that boost productivity and free teams to focus on high-value tasks. Jacob Liberman, director of product management at NVIDIA, explains how on the AI Podcast. Learn more:
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AI Prevents Payment Declines Generating Billions in Revenue
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This ends up creating literally billions of dollars of extra revenue for customers, which might otherwise have been lost as e.g. a card is declined, the user calls the bank, the bank CS rep gives the true and common "We have no idea why that was declined" answer, and customer…
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Banking System Vetoes: Legacy Code and Hidden Decision Logic
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No team anywhere has total visibility into *why* those vetoes happen. At one bank, it might be a legacy software issue that no programmer has actually opened since 1986. At another, it might be a poorly coded heuristic. There might be literally misaligned wires somewhere else.
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Stripe’s Trillion-Dollar Data Scale Enables AI Decision-Making
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The scale of data involved is staggering, too: Stripe processed about $1.4 trillion (yes, with a T) in 2024, which implies many billions of transactions, each of them with a lifecycle at which one could make several interesting decisions to improve outcomes.
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Machine Learning in Payment Processing: High-Velocity Decision Testing
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Payment processing is an unusually fruitful testbed for machine learning, because one is making very high-velocity decisions and being graded on them objectively very quickly: microseconds later by e.g. issuing banks, days to weeks later in the case of waiting for a fraud report.
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Stripe’s 15 Years AI/ML Experience and AI Economy Insights
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This week on Complex Systems I talked with Emily Sands about Stripe's 15 year experience with AI/ML and current observations on the AI economy. I think you'll really enjoy the conversation.
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DataRobot e& leverage NVIDIA agentic AI for operational efficiency
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By integrating DataRobot and @NVIDIA #agenticAI technologies, @eAndUAE aims to boost efficiency, streamline operations, and elevate customer experiences. DataRobot and e& took the stage at NVIDIA GTC to showcase what’s ahead. Watch here: https://
bit.ly/3FUoQiE