Riverbed’s latest research reveals only 49% of decision makers in the healthcare sector are fully confident in the accuracy of their organization’s data to deliver accurate AI outcomes, with 60% of AI projects still in pilot stage

Dubai, United Arab Emirates – April 24, 2026 – Riverbed, the leader in AIOps for observability, today announced the healthcare industry results from its Global Survey ‘The Future of IT Operations in the AI Era’. Despite the strong enthusiasm for AI, with 91% of healthcare leaders and technical specialists reporting that AIOps ROI has met or exceeded expectations, the industry faces significant barriers in enterprise-wide AI implementation. Only 31% of healthcare organizations say they are fully prepared to operationalize their AI strategy, with almost 90% of AI projects still not fully deployed enterprise-wide. Data quality remains a key challenge, with just 49% of decision-makers fully confident in their data to deliver accurate AI outcomes, with 88% agreeing that improving data quality is critical for AI success.

Richard Tworek, Chief Technology Officer, Riverbed

Aternity product modules deployed reach 8.9M as organizations standardize on Riverbed for a unified digital employee experience

REDWOOD CITY, Calif. – April 20, 2026 – Riverbed today announced that its Aternity Digital Employee Experience (DEX) business has surpassed $100 million in annual revenue as of the first quarter of 2026, with first-quarter bookings increasing 85% year-over-year. Aternity product modules deployed reached 8.9 million, up 48% year-over-year, underscoring accelerating customer adoption of Riverbed’s unified approach to DEX.

Dave Donatelli, CEO at Riverbed

The Riverbed Global Survey ‘The Future of IT Operations in the AI Era’ examines AI readiness in manufacturing, with 62% of AI projects in pilot or development stages, and 90% of respondents agree that improving data quality is critical to AI success

Dubai, United Arab Emirates – March 4, 2026 – Riverbed, the leader in AIOps for observability, today announced the manufacturing industry results from its Global Survey on ‘The Future of IT Operations in the AI Era’, revealing both strong momentum and significant readiness gaps in AI adoption. While 87% of manufacturing leaders and technical specialists report that ROI from their AIOps initiatives has met or exceeded expectations, only 37% say they are fully prepared to operationalize AI at scale.

With 62% of AI projects still in pilot or development stages, and 90% of respondents agreeing that improving data quality is critical to AI success, the findings highlight a sector eager to leverage AI to streamline operations, reduce costs, and navigate increasingly complex global supply chains, yet still working to close the gap between ambition and enterprise-wide AI execution at scale.

Strategic SaaS deployment and investment enable customers to leverage Riverbed’s industry-leading observability capabilities while supporting data sovereignty within the Kingdom’s borders

Riyadh, Saudi Arabia – November 25, 2025 – Riverbed, the leader in AIOps for observability, today announced the launch of its Riverbed Aternity® Cloud solution hosted in-country for the Kingdom of Saudi Arabia. With this development, Riverbed becomes the first technology provider in the Kingdom to deliver a SaaS-based Observability platform with integrated AI capabilities designed to meet Saudi Arabia’s data sovereignty and compliance requirements.

New SaaS offering deployed on Oracle Cloud Infrastructure Moves Petabyte-Scale Datasets at Speeds Up to 10X Faster Than Traditional Solutions, Radically Improving Time to Value for Enterprise AI

Dubai, United Arab Emirates – November 4, 2025 – Riverbed, the leader in AIOps for observability and in data acceleration, today introduced its new Riverbed Data Express Service enabling enterprises to radically accelerate the movement of massive datasets now required to prepare and deploy AI models at scale—reaching data transfer speeds up to 10 times faster than current industry solutions —improving a customer’s time to value and lowering costs. Enterprises are racing to build large language models with tens of petabytes of data scattered across data centers, edge environments, and multiple public clouds. Moving this data to AI-optimized GPU clusters often takes months, delaying time-to-value and increasing costs. With the new Riverbed Data Express Service, what once took months can now be completed in days—giving organizations the speed and security of data delivery now required to prosper in the AI era.