Features
Features
-
AI breathes new life into IBM mainframes
Often seen as the mammoths of IT shops well past their time, mainframes injected with AI are finding new opportunities for the massive data residing in the belly of the beast. Continue Reading
-
How GenAI deployments are redefining everyday work routines
GenAI deployments are making dramatic strides in boosting employee productivity, strategic analysis, software development cycles and customer service -- but not without risks. Continue Reading
-
Is your business ready for an agentic AI team?
The race is on to implement agentic AI teams. But can your business successfully deploy and manage them before taking this next step in enterprise automation? Continue Reading
-
From security to trust: How AI is transforming the CISO's job
Modern security officers must manage AI risks, safeguard enterprise data and ensure AI systems operate securely, expanding their role beyond traditional cybersecurity. Continue Reading
-
How businesses can close the AI engineering gap
Amid growing concerns that AI is replacing jobs in several sectors, demand for AI engineers is surging as businesses employ several methods to overcome a severe skills shortage. Continue Reading
-
Battle of the bots: Best GenAI chatbots for business
Businesses are deploying multiple GenAI tools to support productivity. Success requires choosing the right tools for the right use case and keeping a close eye on the outcomes. Continue Reading
-
The AI bias playbook: Mitigation strategies for CIOs
From prioritizing data management to having a governance-first mindset, the C-suite can use the AI bias mitigation strategies in this playbook to limit AI bias risk. Continue Reading
-
35 AI content generators to explore in 2026
Stay abreast of the growing selection of artificially generated media that businesses can use to produce text, images, music and code. Continue Reading
-
Optimize AI models to generate more bang for your buck
AI models must be fully optimized to align with business goals, provide valuable insights and produce positive ROI. Check out these proven, common sense model optimization methods. Continue Reading
-
AI deployments gone wrong: The fallout and lessons learned
AI's deployment landscape is littered with good intentions, crushed projects and unintended consequences due to misaligned business goals, mistrust in AI and weak management. Continue Reading
-
How watermarking AI content benefits businesses
AI watermarking is being used to identify deepfakes, enhance transparency and build trust in AI-generated content, but reliability issues and false positives present challenges. Continue Reading
-
5 skills needed to become a prompt engineer
With the rise of generative AI, prompt engineering has emerged as a new profession. Desired skills include refining prompts, analyzing AI output and ensuring alignment with business goals. Continue Reading
-
Claude vs. ChatGPT: How do they compare?
Compare Anthropic's Claude vs. OpenAI's ChatGPT in terms of features, model options, costs, performance and privacy to decide which generative AI tool better suits your needs. Continue Reading
-
ChatGPT vs. GPT: How are they different?
Although the terms ChatGPT and GPT are both used to talk about generative pre-trained transformers, there are significant technical differences to consider. Continue Reading
-
GANs vs. VAEs: What is the best generative AI approach?
The use of generative AI is taking off across industries. Two popular approaches are GANs, which are used to generate multimedia, and VAEs, used more for signal analysis. Continue Reading
-
GPT-4o vs. GPT-4: How do they compare?
OpenAI's GPT-4o promises improved multimodal capabilities and increased efficiency. Explore the differences between GPT-4o and its predecessor, GPT-4. Continue Reading
-
The future of generative AI: How will it impact the enterprise?
Learn how generative AI will affect organizations in terms of capabilities, enterprise workflows and ethics, and how the technology will shape enterprise use cases. Continue Reading