Granicus Adds AI Analytics to Government Experience Cloud
Granicus announced in a press release Government Experience Insights Professional, an AI analytics product for public sector organizations. The product helps agencies find friction in digital services, prioritize changes and measure their effects over time.
The product applies AI and machine learning to data from 30 billion anonymized annual interactions across more than 7,000 government organizations. It provides benchmarks, recommendations and analysis for content, forms, communications and online services within the Government Experience Cloud.
Granicus is offering early access to existing cloud customers, including an assessment of their digital services and guided implementation. The company plans to present the product at its Government Experience Virtual Summit on September 17, 2026.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like AI Policy Brief, Enterprise AI Brief or Daily AI Brief.
Also, consider following us on social media:
More from Regulation
Nov 1 East African Community adopts regional AI strategy and university training plan Nov 1 Türkiye Plans AI Scoring for Open Ended School Tests Nov 1 Sadiq Khan Calls for Cap on London Robotaxis Nov 1 SpaceX AI Loses Bid to Dismiss NAACP Air Pollution Lawsuit Oct 31 Canada Joins EuroHPC Supercomputing and Quantum NetworkMore from Enterprise
Nov 1 Mumtalakat and ARP Group Plan AI Native Wholesale Bank in Bahrain Nov 1 GO Telecom Awards $49.6 Million AI Data Center Contract to 3T Nov 1 Context Labs Launches AI Distillery for Sovereign Enterprise AI Oct 31 Orange Cyberdefense Gets Early Access to Cyber Version of Mistral Large 4 Oct 31 Ares Intelligence Raises €2.9 Million for AI Adoption PlanningEnterprise AI Brief
Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
HG Insights Launches Contextual Intelligence Platform
Affordable American Insurance Launches Agency Gauge Analytics Platform
GSA Signs First Direct OneGov Small Business Deal With (US)AI
Cognizant Launches AI Nexus to Track AI Costs and Quality
Incognia Launches AI Agent Detection for Financial Institutions
Daily AI Brief: the AI news that matters, in your inbox.