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Organizations rarely struggle to build AI models. They struggle to scale them. Across industries, organizations continue to invest heavily in data and AI, yet many initiatives never move beyond pilot projects. The challenge isn’t creating better models. It’s maintaining the infrastructure that surrounds them. Data pipelines, governance, business rules and […] The post Why enterprise […]
Explore how SAS AI-Driven Entity Resolution on SAS Viya combines no-code configuration, probabilistic matching, and industry-specific integrations to create trusted identities, improve data quality, and support critical decisions across sectors such as public services and financial crime prevention. The post From entity resolution to industry solutions: How AI‑driven entity resolution is evolving on SAS Viya
For decades, supply chain software has been defined by tools — forecasting tools, optimization tools, scenario tools, dashboards, and planning applications. Each is designed to perform a specific task well. But as supply chains become more volatile and tightly coupled, the biggest challenge is no longer analytical sophistication. It’s coordination. […] The post From Tools
From Tools to Agents: How orchestrated decision intelligence is reshaping S&OP Read More »
Small language models like GLiNER provide an efficient, deterministic, and flexible solution for named entity recognition, bridging the gap between traditional NLP and large language models for enterprise information extraction. The post The rise of small language models for information extraction appeared first on SAS Blogs.
The rise of small language models for information extraction Read More »
