Security, cost, and sustainability are some of the reasons artificial intelligence workloads are moving toward hybrid environments.

An Endor Labs study sheds light on ways to use ChatGPT in defensive cybersecurity. The company tapped AI to detect malware.

Now is the time to sit down with your marketing and sales leaders to understand the potential and pitfalls of generative AI for your organization. Here are five emerging generative AI use cases to consider.

New awards will recognize 10 customers for their innovative work with artificial intelligence (AI) and UiPath automation software.

UiPath continues to build out its automation platform: the latest enhancements increase functionality around generative AI and specialized AI.

Startup Granica has developed its Granica Crunch solution to make enterprise AI adoption more efficient and available at a lower cost.

Applications of generative AI within the entertainment industry can have a huge influence on how people consume media.

Fortinet’s “Cyber Threat Predictions for 2023” report examines the rise of ransomware, the mainstreaming of edge attacks, and the weaponization of AI.

Companies must consider various applications of generative AI to extend their value propositions for customers.

Artificial intelligence pioneer IBM very much remains in the AI game, while its places strong focus on hybrid cloud and co-creation initiatives.

With its EU Sovereign Cloud, Oracle aims to address common risks associated with data residency, privacy, and management.

Startup Watershed, a developer of products to support sustainability, has launched a disclosures app to streamline mandatory and voluntary reporting.

Microsoft CEO Satya Nadella recently referred to ChatGPT as a “steam engine.” Bob Evans suggests the tool is just the beginning of the generative AI revolution.

Is ChatGPT comparable to the invention of the steam engine? Microsoft CEO Satya Nadella says so, and Bob Evans explores this analogy.

Process mining enables CIOs to proactively find inefficiencies that are creating the biggest bottlenecks. Microsoft has added Minit process mining technology to its Power Automate platform.

Manual code reviews have limitations in addressing the risks of hard-coded secrets, leading to a critical need for automated analysis in securing the software development process.

With Microsoft Fabric, the company is unifying the corporate data estate while managing powerful AI models and governing data across the organization.

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.

From intelligent resource allocation to predictive maintenance to precision demand forecasting and beyond, artificial intelligence’s impact with ecosystems is profound.

Plugins available through the Appian App Market deliver new AI functionality and build upon the company’s generative AI integrations.