The addition of generative capabilities to AI set the stage for a transformative shift to autonomous agents in manufacturing, posing ethical considerations and requiring thoughtful strategic planning.
Manufacturing
Non-technical business leaders must consider ROI, customer satisfaction, and gaining a competitive edge when it comes to integrating AI.
Analyzing the role of AI in manufacturing, this CIO guide explores efficiency gains, quality control improvements, and predictive maintenance benefits, while addressing cybersecurity, data privacy, and technology dependency risks.
Siemens, Salesforce have co-created software to help manufacturers become more service-centric, upgrade customer experiences, and drive revenue growth.
In 2024, the challenges of AI adoption, cloud migration, and cultural shifts take center stage for CIOs striving to align IT with business.
A look at five automation products that can transform businesses, including offerings from Microsoft, UiPath, Automation Anywhere, and more.
Our top products to watch this year range from applications with comprehensive supply chain functionality to transportation-focused specialty apps.
AWS seeks to narrow the generative AI competitive gap through a strategic partnership with Siemens.
Celonis exec Eugenio Cassiano explains the potential of a common business language to support collaboration networks that help value chain partners operate more efficiently.
Explore SAP’s role in agribusiness and e-mobility, insights on business AI, and the evolution of industry data ecosystems.
President Biden’s recent executive order on AI has a pivotal role to play in fostering ethical innovation and regulation to propel innovation while striking a delicate balance between progress and oversight.
Is AI genuinely a crucial component of a cybersecurity offering? CIO Kenny Mullican explores what existing practices look like with and without the technology.
Google attempts to overcome the challenges of general-purpose robots with its Robotics Transformer 2 (RT-2) model. Healthcare, logistics, and other fields could benefit.
IBM leveraged AI and data analytics to transform its supply chain into a cognitive supply chain, achieving massive savings and fulfilling all customer orders despite disruptions.
The challenges posed by the growing use of generative AI, including cost increases and sustainability concerns for data centers.
Generative AI industry-specific offerings in the cloud industry can enable businesses to transform and create new value for their customers.
Discover how the NVIDIA-VMware partnership empowers manufacturing with cutting-edge AI technology while addressing security and privacy concerns.
C3 AI has launched its C3 Generative AI for Industries, Business Process, and Enterprise Systems that addresses specific use cases in key business areas.
BMW Group’s advanced driver assistance system (ADAS) will equip a new line of vehicles; AWS will play a critical role in providing the required infrastructure.
Companies are recognizing the limitations of centralized AI and are leveraging advances in networking, algorithms, and edge computing to run AI workloads closer to where they’re most needed.