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AI deployments gone wrong: The fallout and lessons learned
AI's deployment landscape is littered with good intentions, crushed projects and unintended consequences due to misaligned business goals, mistrust in AI and weak management.
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How business leaders can prepare for quantum-AI integration
AI completely changed the way we work, and quantum computing has the potential to upend our work completely. How can these technologies integrate to achieve further innovation?
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As AI systems consume data for training and decision-making, businesses must navigate complex regulations, geopolitical boundaries and vendor risks.
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How watermarking AI content benefits businesses
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AI governance can make or break data monetization
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Regression in machine learning: A crash course for engineers
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AI deployments gone wrong: The fallout and lessons learned
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Modernize Workloads in the Cloud to Drive Business Transformation with AWS and AWS Partners
Accelerate business innovations by modernizing Windows Server and SQL Server workloads with AWS purpose-built services and open-source technologies. Benefit from the knowledge and expertise working with AWS Partners to achieve faster time-to-market for new service creation and delivery.
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Intel and Microsoft: Intelligent Edge to Cloud Solutions
Microsoft and Intel build on long-standing co-engineering efforts to enable differentiated services within Azure. By combining innovative software and services with cutting-edge hardware, the Intel and Microsoft partnership delivers state-of-the-art-edge to cloud solutions for Industrial IoT and computer vision edge AI, SAP on Azure, high-performance computing (HPC), confidential computing, hybrid cloud, Microsoft SQL Server, AI, analytics, and more.
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AI deployments gone wrong: The fallout and lessons learned
AI's deployment landscape is littered with good intentions, crushed projects and unintended consequences due to misaligned business goals, mistrust in AI and weak management.
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How business leaders can prepare for quantum-AI integration
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The operational reality of enterprise AI
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10 AI business use cases that produce measurable ROI
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How watermarking AI content benefits businesses
AI watermarking is being used to identify deepfakes, enhance transparency and build trust in AI-generated content, but reliability issues and false positives present challenges.
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What to know about synthetic data as a business advantage
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Leading AI with ethics: The new governance mandate
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Context engineering takes prompting to a higher business level
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Best practices for building scalable AI infrastructure
Scalability is vital for AI platforms. These 10 best practices can help businesses build scalable infrastructure that supports AI workloads and adapts to fluctuating demands.
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Top AI KPIs that business leaders need to know
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Enterprise Artificial Intelligence Basics
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Best practices for building scalable AI infrastructure
Scalability is vital for AI platforms. These 10 best practices can help businesses build scalable infrastructure that supports AI workloads and adapts to fluctuating demands.
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Get Started
AI deployments gone wrong: The fallout and lessons learned
AI's deployment landscape is littered with good intentions, crushed projects and unintended consequences due to misaligned business goals, mistrust in AI and weak management.
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Get Started
How business leaders can prepare for quantum-AI integration
AI completely changed the way we work, and quantum computing has the potential to upend our work completely. How can these technologies integrate to achieve further innovation?
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AI's impact on Google search engine antitrust ruling
While some believe the ruling was too light, it does emphasize the role of GenAI vendors as competitors in the market.
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