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AI risk management: A strategic guide for enterprise leaders
Enterprises across business sectors are adopting AI technologies, but are they prepared to deal with the risks? Our AI risk management guide can help.
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Businesses face complex cost-cutting options with GenAI
Some GenAI cost saving candidates might disappoint. The best approach to cost reductions vary according to the business function and an enterprise's strategic business priorities.
Why enterprise AI needs diagnostic intelligence
Enterprise AI detects anomalies but can't always explain why they happen. Next up for these systems is a focus on diagnosis to enhance trust, compliance and safety.
GenAI is ready for more autonomy, but supply chains are not
Disruptions, vulnerabilities, late deliveries and customer interactions are among the supply chain concerns that GenAI could address autonomously -- if businesses can trust it.
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AI Infrastructure Manage
How to preprocess different types of data for AI workloads
Data preparation for AI differs by data type. However, common themes include improving data quality, ensuring consistency, reducing computing demands and enhancing model performance.
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Why enterprise AI needs diagnostic intelligence
Enterprise AI detects anomalies but can't always explain why they happen. Next up for these systems is a focus on diagnosis to enhance trust, compliance and safety.
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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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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 risk management: A strategic guide for enterprise leaders
Enterprises across business sectors are adopting AI technologies, but are they prepared to deal with the risks? Our AI risk management guide can help.
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Applications of AI Get Started
Time for AI: The 'too busy' problem is a software-age hangover
Higher education must prioritize enterprise AI as a strategic shift, not just tool buying. Learn how governance, alignment and a five-year plan can transform institutions.
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Learn how Google and Intel can help you extract more value from cloud infrastructure.
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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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AWS and SAP AI Co-Innovation Program: Accelerate your business transformation with purpose-built industry AI solutions from AWS and SAP
The AWS and SAP AI Co-Innovation Program is a joint initiative between SAP and AWS designed to help organizations transform their business processes using generative AI. The program offers structured guidance from ideation to full-scale deployment, leveraging the combined capabilities of SAP, AWS, and GSI/ISV Partners
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Businesses face complex cost-cutting options with GenAI
Some GenAI cost saving candidates might disappoint. The best approach to cost reductions vary according to the business function and an enterprise's strategic business priorities.
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GenAI's role in a return trip to the moon and beyond
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5 questions every CIO should ask before investing in AI
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Does your organization need an AI ethics committee?
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Problem Solve
Is GenAI villain and hero in data center power drama?
GenAI's infrastructure requirements drive up power demands for hyperscalers and other large data centers, but GenAI, and AI-based automation, could also help manage consumption.
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C-suite shakeup: Demand for chief AI officers accelerates
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GenAI streamlines enterprise knowledge management process
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How GenAI deployments are redefining everyday work routines
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AI risk management: A strategic guide for enterprise leaders
Enterprises across business sectors are adopting AI technologies, but are they prepared to deal with the risks? Our AI risk management guide can help.
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How to preprocess different types of data for AI workloads
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Build accountability into AI to drive business value
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Q&A: Prioritize AI adoption while safeguarding human skills
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Enterprise Artificial Intelligence Basics
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AI risk management: A strategic guide for enterprise leaders
Enterprises across business sectors are adopting AI technologies, but are they prepared to deal with the risks? Our AI risk management guide can help.
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Get Started
Businesses face complex cost-cutting options with GenAI
Some GenAI cost saving candidates might disappoint. The best approach to cost reductions vary according to the business function and an enterprise's strategic business priorities.
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Get Started
GenAI's role in a return trip to the moon and beyond
NASA's use of GenAI models in the Artemis space program and communication with Mars rovers provides valuable business lessons in governance and keeping humans in the loop.
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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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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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Can tokenization free up more data for AI model training?
Research from Capital One Software and PwC suggests enterprises can tap sensitive data to train AI models while balancing predictive power and privacy.
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