Discover the top 10 Low-Code/No-Code vulnerabilities and how to secure rapid development environments.
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Intel’s visionary approach to AI spans devices and power levels, promoting an open ecosystem, offering opportunities for diverse product differentiation and innovation.
While generative AI tools can raise the bar for DevOps and DataOps, guardrails will be essential to maintain cybersecurity.
Generative AI is playing a central role in the powerful growth and earnings being reported by Cloud Wars Top 10 company ServiceNow.
The C-suite has a vital role in responsibly embracing generative AI’s transformative potential and managing the ethical challenges that come with it.
Rob Enslin, co-CEO of UiPath, discusses the company’s turnkey automation platform and its long history with artificial intelligence (AI) as part of the Process Mining Battleground.
Microsoft furthers its Copilot integrations, as AI-assisted development continues to gain momentum from LLMs and generative AI.
Discover why closing the loop by fixing code is essential to effectively combat the security risk of hard-coded secrets.
At Snowflake Summit, the Cloud Data leader details innovations in LLMs, generative AI, and app development functionality.
Google Cloud proves to be a leader in the generative AI revolution, expanding on partnerships with SAP, Salesforce, Accenture, and other global system integrators.
Artificial intelligence pioneer IBM very much remains in the AI game, while its places strong focus on hybrid cloud and co-creation initiatives.
Gen AI raises privacy, confidentiality, and security concerns. The C-suite needs a plan for addressing these issues, and edge computing can play a vital role.
The speed of AI innovation is outpacing companies’ ability to understand, let alone manage, the risk. This is where leaders can take control.
Snyk and GitGuardian, two prominent security tools providers, collaborate to tackle cloud-native security challenges and bolster cybersecurity measures.
Low-code/no-code tools positively impact software agility and automation, but AI presents another viable option to deliver similar benefits.
Aiming to democratize process mining insights, Celonis demos its core technology working with generative AI.
Guest host Tony Uphoff recounts Microsoft’s embrace of OpenAI — in addition to internal tech — and calls it one of the most well-executed pivots ever.
With its Viya platform, SAS consolidates its offerings into a single, cloud-native product for AI-driven automation, data management, and analytics.
EDA delivers numerous benefits in flexibility, scalibility, and responsiveness, but it also carries unique security considerations.
While generative AI can bring much value to an organization, prompt engineering will be a vital skill to get the most of the technology.