Artificial Intelligence

As AI becomes integrated into daily business operations, employees need a basic understanding of how AI works and how to use it effectively. Organizations are investing in AI education programs to improve adoption, productivity, and responsible usage. AI literacy is quickly becoming an essential workplace skill. Key Takeaways

As AI adoption expands, organizations are placing greater emphasis on governance, transparency, and accountability. Responsible AI initiatives focus on reducing bias, improving explainability, protecting privacy, and ensuring ethical use of technology. Regulatory expectations are also driving stronger oversight. Businesses that implement responsible AI practices can build trust while reducing compliance and reputational risks. Key Takeaways

Artificial intelligence is entering a new phase with the emergence of AI agents. Unlike traditional chatbots that respond to queries, AI agents can plan tasks, make decisions, and execute actions across multiple systems. Businesses are exploring AI agents for customer service, sales support, research, and operational workflows. These systems can automate repetitive processes while improving

As AI adoption expands across industries, organizations are placing greater focus on governance, compliance, and responsible AI practices. Businesses are developing frameworks to ensure transparency, reduce bias, protect sensitive data, and maintain regulatory compliance. AI governance strategies now include model monitoring, ethical guidelines, risk assessments, and human oversight mechanisms. Governments and industry leaders are also

While large AI models continue to dominate headlines, many businesses are now exploring Small Language Models (SLMs) for faster, more cost-effective AI deployments. SLMs require less computing power, offer lower latency, and can be customized more easily for specific business tasks. Organizations are using smaller AI models for customer service automation, document analysis, internal knowledge

AI agents now access your most sensitive data—but most organizations have no way to control them. As they proliferate, they’re becoming high-risk identities— capable of unintended actions, unauthorized access, and even leaking credentials. In this exclusive SailPoint-commissioned study by Dimensional Research, 96% of tech leaders agree: AI agents are a growing security threat. Yet fewer

Global CEOs are making generative AI a top investment priority, and enterprise technology leaders are feeling the pressure to implement a unified data strategy and better data management to support generative AI. To fully leverage generative AI, an organization needs mastery over its proprietary data. That requires a solid foundation of data operations technologies and

Data lakes are essential for AI because they support diverse data types, offer scalable storage and processing and preserve data in its raw format, providing a robust foundation for training advanced AI and ML models. This ebook provides CIOs with strategies to accelerate and ensure the success of AI and GenAI initiatives through the Fivetran

Manual identity processes can’t keep up with modern access demands – resulting in role sprawl, slow certifications, and rising risk. Read how leading enterprises are using AI and ML to reduce identity risk, accelerate reviews, and improve access accuracy across complex environments. Learn how to:

A guide to protecting every identity as new risks arise Today’s enterprises are faced with a growing mix of identities- human, machine, and now including AI agent identities. As risk grows and manual methods fall short, identity security programs must evolve. Download this whitepaper to: