In order to prepare companies for the future of technology-driven business, it’s incumbent upon CIOs to identify and actively address the most critical tech skills gaps.
In the realm of quantum computing, IBM shines with milestones that include the Condor processor’s 1,121 qubits and the strategic transition to the Heron processor.
In 2024, the challenges of AI adoption, cloud migration, and cultural shifts take center stage for CIOs striving to align IT with business.
CEO Safra Catz emphasizes how it’s time “to bring healthcare to the 21st century,” highlighting Oracle’s efforts to bring modern tech to the industry.
A discussion with Snowflake CEO Frank Slootman on data strategies and the transformative impact of AI for CEOs, business applications, and industries.
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.
Larry Ellison and Safra Catz of Oracle express confidence in the cloud business, citing robust growth and high demand for Oracle Cloud Infrastructure (OCI) among other factors.
Bayer’s Timo Peters, joined by Celonis’ Chris Monkman, discusses generative AI and ecosystem opportunities in the context of process mining.
Bayer exec Timo Peters shares the process mining customer’s vision for tapping generative AI, co-creating with Celonis, and capitalizing on ecosystem partnerships.
Astra Zeneca exec Raaj Joshi details the company’s work with Celonis process mining, including an “underrated” use case around financial controls.
At Celosphere 2023, Mark Klein of ERGO Group explains how the insurer has applied Celonis process mining software over the past year in the insurance business.
Customer sessions will explore how process mining and generative AI can be applied across industries at Celopshere 2023.
While there’s not a one-size-fits-all approach to friend-shoring, it’s still worth considering to optimize global operations.
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.
New AI-powered search capability from Google Cloud helps clinicians quickly retrieve medical data, in various formats from various sources.
The challenges posed by the growing use of generative AI, including cost increases and sustainability concerns for data centers.
Microsoft Cloud for Healthcare aims to unlock the potential of vast healthcare data by integrating diverse sources and leveraging AI to improve patient care and healthcare operations.
Microsoft aims to address data silos in the healthcare industry to improve patient outcomes and unlock the potential of AI-driven offerings.
Generative AI industry-specific offerings in the cloud industry can enable businesses to transform and create new value for their customers.