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Business vs. provider: AI software restrictions to know
How much control do businesses have over the use of AI platforms they buy? Vendor acceptable use contracts and policies can determine an AI deployment's success or failure.
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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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Infrastructure requirements for physical AI systems
Physical AI systems are becoming a priority for companies because of their strategic and operational advantages. But businesses must contend with their infrastructure needs.
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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 Infrastructure Get Started
Infrastructure requirements for physical AI systems
Physical AI systems are becoming a priority for companies because of their strategic and operational advantages. But businesses must contend with their infrastructure needs.
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AI Technologies Get Started
Beyond the chatbot: Engineering the agentic enterprise
Agentic AI is taking over where chatbots leave off. These systems let enterprises automate workflows, driving operational change and doing real work.
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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 Get Started
Regression in machine learning: A crash course for engineers
Regression in machine learning helps organizations forecast and make better decisions by revealing the relationships between variables. Learn how it's applied across industries.
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AI Business Strategies News
Business vs. provider: AI software restrictions to know
How much control do businesses have over the use of AI platforms they buy? Vendor acceptable use contracts and policies can determine an AI deployment's success or failure.
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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.
Sponsored Sites
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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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Networking
Verizon Private 5G Edge - Enterprise Intelligence
Verizon is leading the development of secure cloud computing power at the edge of the network. Hosting applications at the network edge helps improve response times and performance – enabling the faster collection, processing and analysis of data for better business outcomes, and true Enterprise Intelligence.
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Artificial Intelligence
AI Everywhere
AI is transforming how we work. The majority of data center AI inference deployments today run on Intel® Xeon® processors. Learn why Intel® AI is the most trustworthy
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Business vs. provider: AI software restrictions to know
How much control do businesses have over the use of AI platforms they buy? Vendor acceptable use contracts and policies can determine an AI deployment's success or failure.
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Citizen developers are redefining enterprise AI development
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GenAI in accounting: Chat BDO's ride from pilot to production
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GenAI data center infrastructure reshapes business processes
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Problem Solve
AI agents are only as smart as the data that feeds them
Using business semantics is key to making AI agents deliver accurate insights. Aligning an organization's data with its business logic ensures trust and smarter decisions.
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Beyond the chatbot: Engineering the agentic enterprise
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GenAI in product manufacturing cuts costs but adds risks
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Overcome roadblocks to GenAI adoption and unlock ROI
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Infrastructure requirements for physical AI systems
Physical AI systems are becoming a priority for companies because of their strategic and operational advantages. But businesses must contend with their infrastructure needs.
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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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AI ethical red flags businesses must avoid
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Enterprise Artificial Intelligence Basics
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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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Get Started
Business vs. provider: AI software restrictions to know
How much control do businesses have over the use of AI platforms they buy? Vendor acceptable use contracts and policies can determine an AI deployment's success or failure.
-
Get Started
Infrastructure requirements for physical AI systems
Physical AI systems are becoming a priority for companies because of their strategic and operational advantages. But businesses must contend with their infrastructure needs.
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AI technologies
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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