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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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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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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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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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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 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.
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Wind River For Aerospace & Defense
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Data Management
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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One Identity | Integrated Cybersecurity for all Your Identities
Learn how One Identity provides integrated cybersecurity solutions, delivering a truly unified identity platform and streamlining management across on-premises and cloud resources.
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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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Business vs. provider: AI software restrictions to know
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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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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 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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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.
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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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