activity
20212026
most citedPrescriptive Process Monitoring in Intelligent Process Automation with Chatbot Orchestration

3 citations · 6 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2026

Governance by Construction for Generalist Agents

Segev Shlomov, Iftach Shoham, Alon Oved +7

Enterprise agents are increasingly expected to operate autonomously across tools and interfaces, yet production deployments require governance by construction. Systems must specify…

cs.AI2025

From Benchmarks to Business Impact: Deploying IBM Generalist Agent in Enterprise Production

Segev Shlomov, Alon Oved, Sami Marreed +9

Agents are rapidly advancing in automating digital work, but enterprises face a harder challenge: moving beyond prototypes to deployed systems that deliver measurable business valu…

cs.DC2025

Towards Enterprise-Ready Computer Using Generalist Agent

Sami Marreed, Alon Oved, Avi Yaeli +6

This paper presents our ongoing work toward developing an enterprise-ready Computer Using Generalist Agent (CUGA) system. Our research highlights the evolutionary nature of buildin…

cs.AI2024★ 1 cited

ST-WebAgentBench: A Benchmark for Evaluating Safety and Trustworthiness in Web Agents

Ido Levy, Ben Wiesel, Sami Marreed +4

Autonomous web agents solve complex browsing tasks, yet existing benchmarks measure only whether an agent finishes a task, ignoring whether it does so safely or in a way enterprise…

cs.AI2024★ 1 cited

SNAP: Semantic Stories for Next Activity Prediction

Alon Oved, Segev Shlomov, Sergey Zeltyn +2

Predicting the next activity in an ongoing process is one of the most common classification tasks in the business process management (BPM) domain. It allows businesses to optimize…

cs.AI2022★ 3 cited

Prescriptive Process Monitoring in Intelligent Process Automation with Chatbot Orchestration

Sergey Zeltyn, Segev Shlomov, Avi Yaeli +1

Business processes that involve AI-powered automation have been gaining importance and market share in recent years. These business processes combine the characteristics of classic…

physics.med-ph2021★ 1 cited

EP-PINNs: Cardiac Electrophysiology Characterisation using Physics-Informed Neural Networks

Clara Herrero Martin, Alon Oved, Rasheda A Chowdhury +4

Accurately inferring underlying electrophysiological (EP) tissue properties from action potential recordings is expected to be clinically useful in the diagnosis and treatment of a…