Systems | Development | Analytics | API | Testing

Growing AI Fast with ML-Ops: Breaking the barrier between research and production

AI models get smarter, more accurate, and therefore more useful over the course of their training on large datasets that have been painstakingly curated, often over a period of years. But in real-world applications, datasets start small. To design a new drug, for instance, researchers start by testing a compound and need to use the power of AI to predict the best possible permutation.

New report from Harvard Business Review demonstrates why businesses must invest in self-service analytics

In 2020, ThoughtSpot and Harvard Business Review Analytic Services teamed up on original research demonstrating the power of the new decision-makers — employees on the frontlines of your business who interact with outside customers, partners, and vendors on a daily basis. Through our research, we found that 87% of leaders said their organization will be more successful when frontline workers are empowered to make important decisions in the moment. Why?

The realtime web: evolution of the user experience

Over the last few years, companies have used realtime updates to add new experiences and features and increase their market share, It’s now standard to expect a page within an app or browser to update parts of itself without forcing it to refresh. For example, a news page of live sports scores updates with the latest goal scored, or an app shows a change as you track your taxi on a map.