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Global investors flee from Chinese tech stocks after the government crackdown on Ant and Alibaba

TechCrunch

Global investors are running from Chinese tech stocks in the wake of the government’s crackdown on Ant Group and Alibaba, two high-flying businesses founded by Ma Yun (Jack Ma) that were once hailed as paragons of China’s new tech elite. Shares of Alibaba are off around 30% from their recent record highs set in late October.

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From Machine Learning to AI: Simplifying the Path to Enterprise Intelligence

Cloudera

Thats why were moving from Cloudera Machine Learning to Cloudera AI. Why AI Matters More Than ML Machine learning (ML) is a crucial piece of the puzzle, but its just one piece. It means combining data engineering, model ops, governance, and collaboration in a single, streamlined environment.

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2025 Middle East tech trends: How CIOs will drive innovation with AI

CIO

AI and machine learning are poised to drive innovation across multiple sectors, particularly government, healthcare, and finance. Governments will prioritize investments in technology to enhance public sector services, focusing on improving citizen engagement, e-governance, and digital education.

Trends 158
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Build a strong data foundation for AI-driven business growth

CIO

In the quest to reach the full potential of artificial intelligence (AI) and machine learning (ML), there’s no substitute for readily accessible, high-quality data. If the data volume is insufficient, it’s impossible to build robust ML algorithms. If the data quality is poor, the generated outcomes will be useless.

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Build Trustworthy AI With MLOps

In our eBook, Building Trustworthy AI with MLOps, we look at how machine learning operations (MLOps) helps companies deliver machine learning applications in production at scale. AI operations, including compliance, security, and governance. AI ethics, including privacy, bias and fairness, and explainability.

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The key to operational AI: Modern data architecture

CIO

Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.

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Unleash the power of generative AI with Amazon Q Business: How CCoEs can scale cloud governance best practices and drive innovation

AWS Machine Learning - AI

This solution can serve as a valuable reference for other organizations looking to scale their cloud governance and enable their CCoE teams to drive greater impact. The challenge: Enabling self-service cloud governance at scale Hearst undertook a comprehensive governance transformation for their Amazon Web Services (AWS) infrastructure.

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The Business Value of MLOps

As machine learning models are put into production and used to make critical business decisions, the primary challenge becomes operation and management of multiple models.

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10 Keys to AI Success in 2021

The importance of governance in ensuring consistency in the modeling process. How MLOps streamlines machine learning from data to value. AI storytelling in communicating value to your organization. Trusted AI and how vital it is to your AI projects.

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Resilient Machine Learning with MLOps

To prevent deployment delays and deliver resilient, accountable, and trusted AI systems, many organizations invest in MLOps to monitor and manage models while ensuring appropriate governance. Download today to find out more!