Imagine a logistics company struggling with fuel inefficiencies and delivery delays. By analyzing past delivery times, weather, and traffic data using time series analysis, the company dynamically adjusts routes and schedules, cutting costs while improving service reliability. Now, consider a financial services firm aiming to improve market predictions. With visual … [Read more...] about Mastering time series analysis: Unlock powerful business insights with Spotfire
Understanding dynamic time warping: How Spotfire simplifies complex data analysis
In a high-tech manufacturing plant, a data analyst is under pressure. Unexpected production anomalies are halting throughput, and the source isn’t obvious. The team has ruled out equipment malfunctions, yet inconsistencies persist. Traditional time series analysis methods can't cope with the slight asynchronies in machine behavior, signal patterns that shift in time but still … [Read more...] about Understanding dynamic time warping: How Spotfire simplifies complex data analysis
Responsible AI: Acknowledging environmental impacts
Artificial intelligence (AI), particularly generative AI (GenAI), holds immense potential to accelerate businesses and drive innovation across various sectors. Companies everywhere are onboarding new AI tools, assistants, and agentic automations with the hopes of cutting costs and improving efficiency. While AI promises numerous benefits for society at large, many individuals, … [Read more...] about Responsible AI: Acknowledging environmental impacts
Responsible AI best practices: How to keep humans at the center
In our previous blog about Responsible AI, we discussed why it’s essential for businesses to establish trust with consumers and stay ahead of evolving compliance landscapes. In this blog, we’ll discuss some best practices for some of the key challenges with AI: When humans are kept in the loop of AI workflows, it can help increase transparency and trust—mitigating possible … [Read more...] about Responsible AI best practices: How to keep humans at the center
Building a responsible AI: Ethical considerations and business implications
Developing AI that’s fair, transparent, and accountable is a strategic imperative for modern businesses. In the world of artificial intelligence, the line between innovation and ethical misstep is razor-thin. Take UPS, for example. The global logistics giant developed an AI-powered route optimization system called ORION (On-Road Integrated Optimization and Navigation). By … [Read more...] about Building a responsible AI: Ethical considerations and business implications