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How businesses use KPIs to measure AI's performance
Business decision-makers under heavy pressure to justify the value of their AI projects look to key performance indicators for salvation. KPIs reveal AI's efficiency and ROI.
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Build an ethical AI framework: 12 top resources
IEEE Global Initiative, World Economic Forum and Stanford Institute are among the best resources available to businesses building a viable ethical AI foundation for responsible AI.
8 trends powering machine learning's dynamic new roles
Machine learning is evolving rapidly, driving trends like smaller models, edge computing, generative AI convergence, governance and ML health monitoring.
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Q&A: MIT's top 10 AI trends to watch this year
MIT Technology Review's Amy Nordrum and Niall Firth unpack what trends to watch in AI, from LLMs+ and the China-spurred open source AI boom to weaponized deepfakes and AI malaise.
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AI Infrastructure Get Started
How to use AI agents for infrastructure management
AI agents enable businesses to automate a variety of tasks, including infrastructure development. However, left unchecked, they can wreak havoc at the infrastructure layer.
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AI Technologies News
Businesses gear up for AI agents in the enterprise
AI agents might be going mainstream and coming to a desk near you -- so say speakers at EmTech AI this week, where attendees were also treated to viewing their digital twins.
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AI Platforms Evaluate
What Nvidia's $78B quarter tells you about enterprise AI
Nvidia's latest earnings reveal more than impressive revenue figures. They highlight the accelerating adoption of enterprise AI and the growing pressure on infrastructure capacity.
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ML Platforms
8 trends powering machine learning's dynamic new roles
Machine learning is evolving rapidly, driving trends like smaller models, edge computing, generative AI convergence, governance and ML health monitoring.
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How businesses use KPIs to measure AI's performance
Business decision-makers under heavy pressure to justify the value of their AI projects look to key performance indicators for salvation. KPIs reveal AI's efficiency and ROI.
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Applications of AI Evaluate
Citizen developers are redefining enterprise AI development
Generative AI is enabling nontechnical business users to build enterprise software, accelerating innovation while creating new risks around governance, security and control.
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Accelerating Application Transformation with Amazon Q Developer
Amazon Q Developer transformation capabilities accelerate large-scale transformation of enterprise workloads with domain-expert generative AI agents to simplify .NET porting, VMware modernization, mainframe application modernization, and Java upgrades. Put experience of AWS and the power of generative AI to work to simplify your application migration and modernization journey and transform your business.
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AWS + Intel Xeon6: Fastest Intel-Powered EC2 Yet
Power your workloads with AWS's new 8th generation EC2 instances, featuring custom Intel Xeon 6 processors - exclusively on AWS! The complete family of C8i, M8i, and R8i instances, along with their flexible counterparts (C8i-Flex, M8i-Flex, R8i-Flex), are now available.
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Intelligent Agreement Management
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Over 1.6 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate business processes and simplify lives. Using the Docusign IAM platform, companies can create, commit to, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).
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Build an ethical AI framework: 12 top resources
IEEE Global Initiative, World Economic Forum and Stanford Institute are among the best resources available to businesses building a viable ethical AI foundation for responsible AI.
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Democratizing AI in business: The good, bad and ugly
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How to use AI agents for infrastructure management
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Business vs. provider: AI software restrictions to know
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Problem Solve
GenAI in accounting: Chat BDO's ride from pilot to production
Accounting and advisory firm BDO built and deployed a proprietary AI platform so its tax and audit pros could automate routine tasks and significantly increase client-facing time.
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AI agents are only as smart as the data that feeds them
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Beyond the chatbot: Engineering the agentic enterprise
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GenAI data center infrastructure reshapes business processes
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How businesses use KPIs to measure AI's performance
Business decision-makers under heavy pressure to justify the value of their AI projects look to key performance indicators for salvation. KPIs reveal AI's efficiency and ROI.
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Infrastructure requirements for physical AI systems
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4 strategic approaches to effective shadow AI governance
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Managing drift in AI models and data
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Enterprise Artificial Intelligence Basics
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Democratizing AI in business: The good, bad and ugly
AI democratization planned and introduced correctly can profoundly increase AI's business value -- but inadequate AI tools and poor workforce training can bring it all down.
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Get Started
How to use AI agents for infrastructure management
AI agents enable businesses to automate a variety of tasks, including infrastructure development. However, left unchecked, they can wreak havoc at the infrastructure layer.
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Get Started
How to start a career in AI: Advice from experts
AI careers don't follow one path. As AI becomes part of everyday work, more professionals are entering the field by building on what they already do and focusing on real results.
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The ethical implications of Anthropic's feud with the Pentagon
The Anthropic-Pentagon feud highlights a broader shift in AI governance, where ethical constraints, vendor policies and legal frameworks are redefining control and accountability.
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AI business strategies
U.S. federal AI framework deemed aspirational, noncommittal
The latest executive order is a step toward federal AI regulation. But it's largely noncommittal and shifts most responsibility to Congress, creating an interesting midterm dynamic.
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AI technologies
How simulations and digital twins are advancing robotics
Nvidia GTC 2026 showed the potential of robotics across industries. But these systems must undergo stress testing, and digital twins and simulation are the key.
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