Pandemics. Wars. Energy crises. Unprecedented circumstances can make it hard to build accurate forecasts, especially when forecasts are based on historical data alone, explains Josh Ackerman, a Data Scientist Manager at DOW. “It’s hard to make strategic decisions when you can’t predict the future from the past,” says Ackerman. Leaders
Learn how supply chain management evolves from isolated tools to integrated agents that address the complexity and interdependence in S&OP.
You don’t lose sleep over dashboards. You lose sleep over decisions. You’re standing on the factory floor, surrounded by the hum of million-dollar assets, and you know something is off. An alert flashes on a screen: "Anomaly Detected." But what now? In that split second, the gap between a minor
Manufacturers operate some of the most complex machinery on the planet – from CNC machines and industrial robots to gas turbines with over 20,000 components. Keeping these assets running smoothly is mission-critical, yet maintenance teams are often buried under vague alerts, scattered documentation and time-consuming root cause analysis. Much of
As companies rush to adopt GenAI, one question keeps coming up: How do we make all this intelligence useful on the plant floor? SAS Vice President of IoT Jason Mann and Jobi George, Global VP of Business Development at Weaviate, discussed how vector databases and retrieval-augmented generation (RAG) are enabling manufacturers
From transforming online insurance services to combating the opioid epidemic, SAS customers are using data and AI to drive innovation, enhance efficiency and make a positive impact on society. These stories – and more – offer a glimpse into how our customers are shaping the future with SAS. Dive into
If you think of SAS as a data, AI and analytics powerhouse, Epic Games as the studio behind Fortnite and Georgia-Pacific as the company that makes paper towels and more, you’re not wrong. But you’re also missing the bigger story. One that – quietly and collaboratively – is reshaping how
The manufacturing industry is at a fascinating crossroads, brimming with potential for groundbreaking advancements. We find ourselves in an era of unprecedented data surges, intricate supply chain networks and a relentless drive to innovate. This dynamic environment, now known as Industry 4.0 – 5.0, has cultivated a fertile ground where
Digital twins are revolutionizing manufacturing by providing real-time, virtual representations of physical assets. The ability to create and refine digital replicas using live sensor data is optimizing efficiency, reducing downtime and unlocking new levels of innovation. While many organizations are still operating with “digital shadows” – historical data models that
Imagine a world where data doesn’t just sit in spreadsheets but drives smarter decisions and sparks innovation. Across the globe, companies are tapping into advanced forecasting and analytics to make this a reality. From rethinking forecasting as a global materials science leader to refining processes in the transportation sector, these
