Reading Time: 2 minutesThe Challenge of Non-Native AS2 Integrations For enterprises exchanging high-value B2B transactions—such as EDI purchase orders, healthcare claims, and financial invoices—the Applicability Statement 2 (AS2) protocol is the industry benchmark for secure, reliable transport. Historically, teams working in BusinessWorks (BW) often had to stitch together external tools,...
New research from SmarterX surfaced not just where B2B marketers are in their AI journey but how they feel about it.
We had a campaign we wanted to get in front of the right people. The problem was familiar: We had a targeted list of business leaders we genuinely thought would benefit from what we were promoting, but no clean process for actually reaching them at scale. And we didn’t have enough time to do it the slow way [read: without AI].
Pharma commercial teams are generating more data than ever, but field intelligence is still arriving too late to change rep behavior before the engagement window closes. In this episode, Damion Nero, Global Head of Statistics at Daiichi Sankyo, joins Emerj editor Yolandi de Weerdt to examine why fragmented data pipelines, not a shortage of data, are the structural root of the gap between...
Enterprise AI agents fail consistently in production, not because of model limitations, but because they lack a live, temporally aware context layer grounded in the actual current state of the business. In this episode, Ravi Marwaha, Chief Operating Officer & Chief Technology Product Officer at Arango, explores how treating context as infrastructure—rather than a data pipeline...
AI tools have gone from “fun to try” to part of the daily workflow. There’s an AI tool for almost everything nowadays, readily accessible for all. The problem is no longer access. It’s choice. Every week, a new tool promises to save time, boost creativity, or replace half your workflow. Most just add another tab […]
The post Top 10 AI Engineering Tools Everyone is Using in 2026 appeared...
This month, we’re continuing to focus on making every day work a little easier—whether that’s building reports, modeling data, or just getting answers faster. You’ll see progress across Copilot and newer AI-driven experiences, along with a set of practical updates to reporting that help reduce repetitive work.
As context windows grow into the millions of tokens, many AI practitioners are questioning whether retrieval-augmented generation (RAG) is still necessary. If modern models can ingest entire libraries of documents, why bother with retrieval at all? In this episode, Alex Bowcut, Head of Engineering at Sphere, explains why the answer depends on the application. Sphere uses AI to automate global...
Learn how the SAS Agentic AI Accelerator and SAS Viya can be used to build a governed, multi-agent support-ticket solution that combines text analytics, RAG, LLMs, business rules, and human oversight to improve resolution speed, accuracy, and operational efficiency.
The post Modernizing attendance ticketing in SAS Viya using SAS Agentic AI Accelerator appeared first on SAS Blogs.