#data-preparation

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#machine-learning #personalization #ai-adoption #ai-agents #data-security #workflow-automation
Data science
fromZDNET
1 week ago

96% of IT pros use AI now: Their top 7 agentic applications and biggest implementation roadblocks

Most data and IT professionals use AI, but only about half use it frequently, while many plan to deploy AI agents with unrestricted data access.
Marketing tech
fromInfoQ
1 month ago

Reimagining Platform Engagement with Graph Neural Networks

Graph neural networks can enhance recommender systems by personalizing content and optimizing for long-term user engagement.
Venture
fromAlleywatch
3 months ago

The AlleyWatch Startup Daily Funding Report: 1/29/2026

Multiple NYC startups raised significant funding on 1/29/2026, including Rogo $75M Series C, Talos $45M extension, Outtake $40M Series B, Datalinx $4.2M Seed.
Data science
fromTheregister
5 months ago

HPE pumps AI cloud lineup with extra Nvidia capabilities

HPE upgrades Private Cloud AI with Nvidia Blackwell GPUs, GPU fractionalization, STIG-hardened NIMs, Juniper networking integration, and Alletra storage for inline data preparation.
Marketing tech
fromHubspot
7 months ago

Machine learning in email marketing: What drives revenue growth (and what doesn't)

Machine learning personalizes email content, optimizes send times, and predicts customer behavior when fed clean, unified data and clear success metrics.
Artificial intelligence
fromComputerWeekly.com
8 months ago

Storage is key to AI projects that succeed | Computer Weekly

Successful AI projects require careful data preparation, appropriate compute and storage planning, and infrastructure (not just spending) to meet GPU-driven, unpredictable data access demands.
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