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Empowering enterprises with AI: Entering the era of choice
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Accelerate AI Initiatives on Dell VxRail
The rapid evolution of AI in enterprise settings is driving demand for infrastructure that supports generative AI workloads on premises.
Dell Technologies VxRail is a hyperconverged infrastructure (HCI) solution offering scalability, automation, lowered costs, and a consistent experience across data center, edge, and cloud environments. Organizations can start with light AI workloads on VxRail and scale up to more demanding tasks with validated GPUs.
Leveraging VxRail’s capabilities, businesses can position themselves well at any stage of their AI maturity, maximizing return on investment (ROI) and accelerating time to value for their AI initiatives. Download this ESG Showcase now to learn more.
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Workforce Upskilling for the AI Era Tools and training for a future-ready business
This InfoBrief draws upon primary survey research from IDC to explore key challenges and requirements for companies as they better prepare their workers to succeed in an era of AI-enabled businesses.
- As businesses face ongoing challenges to find top talent and rely increasingly on AI and generative artificial intelligence (GenAI) to augment their workforce, they must consider key areas of upskilling and cross-skilling, and the technologies to fully equip employees securely, simply and at scale.
- To broadly attract and keep employees, organizations need to offer hardware, software and services that deliver a parity of experience for workers across remote, field and on-site locations. This requires laptops and other hardware devices to be purpose-built for secure support of AI-enabled work practices.
Learn more about Dell Technologies AI solutions accelerated by Intel®.
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Automating data lake pipelines for AI
Data engineers are facing increasing demands to deliver accurate, model-ready data to AI initiatives — fast. But traditional data integration tools require time-consuming coding by highly skilled staff. And these tools often lack the capabilities to fully prepare, cleanse, tag, and catalog the data.
What’s the answer? Automated data pipelines driven by AI and ML. In this eBook, you’ll learn how to build AI- and ML-enabled data pipelines for delivering AI-ready data. Topics include:
- Key considerations when you’re building data lakes for AI
- 5 ways automation works across the data pipeline
- A detailed checklist for success
You’ll also learn how Qlik can help, with a series of integrated solutions for automating your entire data lake pipeline — from real-time ingestion to processing and refinement — without requiring writing code.
