That’s a wrap! Full house for Vignesh Ramesh’s talk at Gartner Data & Analytics Summit Big thanks to everyone who joined and to @Gartner_inc for the space to share and connect. Thanks to everyone for stopping by! More events on the horizon https://
bit.ly/3SHuWWp
ENTERPRISE AI
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Vignesh Ramesh’s Data Analytics Summit Talk Draws Full House
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Microsoft Build and Google I/O conferences coming next week
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Microsoft Build AND Google I/O both happening next week.
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Why Enterprises Adopt Secure and Private AI Solutions
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Learn why enterprises are turning toward secure and private AI:
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Secure AI: Enterprise-Grade Deployment with Privacy Controls
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Secure AI is a truly robust, enterprise-grade approach to deploying the technology in a way that prioritizes security, compliance, and trust. By allowing AI models to be deployed in a private environment, such as on-premises or a dedicated private cloud, Secure AI ensures that
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What drives choice of Secure AI solutions?
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What is your driving force behind choosing Secure AI?
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Employee AI Data Security Risk Requires Enterprise Protection
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38% of employees surveyed by @CybSafe admitted to sharing sensitive information with AI tools at work. As millions of employees embrace AI to boost productivity, organizations need robust, enterprise-grade solutions to protect their sensitive data. Enter Secure AI.
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AI answering questions on behalf of specific employees
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haha yeah. for this specific idea, i'm less interested in an AI acting like an expert, but more so being able to answer questions on behalf of a specific employee based on their understanding of employee actions across enterprise, apps, etc.
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AI Accelerates Software Development: Speed and Cost Advantages
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AI’s ability to make tasks not just cheaper, but also faster, is underrated in its importance in creating business value. For the task of writing code, AI is a game-changer. It takes so much less effort — and is so much cheaper — to write software with AI assistance than
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Deploying DeepSeek-R1 Distill: GCP Infrastructure Trade-offs
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Excited to share insights from our latest guest post on Decoding ML by @iusztinpaul
! We walk through deploying DeepSeek‑R1 Distill on three infrastructure models—each with its own trade‑offs: 1. Google Cloud Platform (GCP) • Self‑managed VM with an NVIDIA L4 GPU
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Galeria Partners With Blue Yonder for AI-Driven Shopping Experience
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Galeria Teams Up With Blue Yonder To Enhance the In-Store and Online Customer Shopping Experience. Germany's iconic department store chain deploys @BlueYonder
’s AI-driven demand and replenishment capabilities: https://
okt.to/WxOUmS @nicochan33 @mvollmer1 @antgrasso @alvinfoo