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GenAI and synthetic data: What can go wrong in business?
GenAI's ability to improve everything it touches, including synthetic data, is undeniable, but when misused, simulated data can amplify bias, taint data and compromise security.
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Generative AI ethics: 16 biggest concerns and risks
As adoption and use cases grow, generative AI is upending business models and driving ethical issues such as misinformation, brand integrity and job displacement to the forefront.
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Communities call for transparency in AI data center deals
Your company might not be building an AI data center, but your AI workloads likely run in them. Here's what you need to know about the land-use war around data center development.
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Build and organize an effective machine learning team
Putting together an ML team requires a business understand why it needs one and the core roles involved in making all aspects of the machine learning process work.
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AI Infrastructure Evaluate
Communities call for transparency in AI data center deals
Your company might not be building an AI data center, but your AI workloads likely run in them. Here's what you need to know about the land-use war around data center development.
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AI Technologies Evaluate
Generative AI ethics: 16 biggest concerns and risks
As adoption and use cases grow, generative AI is upending business models and driving ethical issues such as misinformation, brand integrity and job displacement to the forefront.
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AI Platforms News
Claude Mythos Preview and the new rules of cybersecurity
AI is reshaping cybersecurity. Anthropic's Claude Mythos Preview exposes a new era of rapid, autonomous vulnerability discovery and the governance challenges ahead.
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ML Platforms Manage
Build and organize an effective machine learning team
Putting together an ML team requires a business understand why it needs one and the core roles involved in making all aspects of the machine learning process work.
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AI Business Strategies News
GenAI and synthetic data: What can go wrong in business?
GenAI's ability to improve everything it touches, including synthetic data, is undeniable, but when misused, simulated data can amplify bias, taint data and compromise security.
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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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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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Cloud Computing
Capgemini and AWS: A Trusted Partnership
Capgemini and Amazon Web Services (AWS) blend deep industry knowledge, cloud expertise, and services to help you realize your vision of a 21st-century business. Capgemeni and AWS enable your digital future with proven methodologies and programs to accelerate your journey to the cloud, delivering innovative solutions to help you reach your business ambitions and a sustainable future.
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Artificial Intelligence
AWS for Software and Technology Companies
Welcome to your resource hub for transforming your software business with AWS. Access essential guides for every stage of your cloud journey - from modernizing applications and optimizing costs to implementing cutting-edge generative AI solutions. Explore our curated collection of expert content, including the latest IDC research on SaaS efficiency, practical migration playbooks, and strategic guidance for AI implementation.
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GenAI and synthetic data: What can go wrong in business?
GenAI's ability to improve everything it touches, including synthetic data, is undeniable, but when misused, simulated data can amplify bias, taint data and compromise security.
-
Generative AI ethics: 16 biggest concerns and risks
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Communities call for transparency in AI data center deals
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How to build AI skills across your workforce
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Problem Solve
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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Business vs. provider: AI software restrictions to know
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GenAI in accounting: Chat BDO's ride from pilot to production
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AI agents are only as smart as the data that feeds them
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Build and organize an effective machine learning team
Putting together an ML team requires a business understand why it needs one and the core roles involved in making all aspects of the machine learning process work.
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How businesses use KPIs to measure AI's performance
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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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Enterprise Artificial Intelligence Basics
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GenAI and synthetic data: What can go wrong in business?
GenAI's ability to improve everything it touches, including synthetic data, is undeniable, but when misused, simulated data can amplify bias, taint data and compromise security.
-
Get Started
How to build AI skills across your workforce
AI skills are no longer an optional investment. Business leaders who know how to build AI skills throughout their organizations can unlock AI's full potential.
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Get Started
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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Artificial intelligence platforms
Claude Mythos Preview and the new rules of cybersecurity
AI is reshaping cybersecurity. Anthropic's Claude Mythos Preview exposes a new era of rapid, autonomous vulnerability discovery and the governance challenges ahead.
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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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