We've all seen beautiful analytics apps -- they're interactive and show you what's happening in your business. But how can you get even more out of your data? What if artificial intelligence (AI) could dig into your data and take the insights from your analytics a step further? What if you could get those actionable recommendations now? Maybe you've set up dashboards before?

It's a fascinating time to be in the data and analytics space. Companies are more aware than ever of the impact data can have on their business. In this article, leading global independent analytics platform Sisense's head of AI, Inna Tokarev-Sela, shares her predictions on key AI trends that will happen in 2020, as well as what the landscape will look like in 2030. As AI becomes more well-known and effective in operational analytics, we will begin to see companies, even data teams, combining different AI components at different times in the analytics lifecycle to come up with better suggestions and insights. If you look at the AI trends today (graphs, Explainable AI, Continuous AI,) you can see that each one facilitates a specific aspect of analysis, or is used for a specific purpose.

The artificial intelligence (AI) in health care market is set to top $34 billion by 2025, according to some estimates -- and it's no real wonder why. One startup that's successfully maintained pole position is Health Catalyst, a Salt Lake City, Utah-based health care big data company founded in 2009 by Steven Barlow and Thomas Burton. It aims to drive clinical and operational performance improvements in state and regional health plan providers, physician groups, and extended care facilities through its suite of analytics apps. And it's raising capital to help further progress toward that goal. Health Catalyst today announced that it has secured $100 million in series F equity and debt financing led by health care investment firm OrbiMed, with participation from existing partners Sequoia Capital, Norwest Venture Partners, Sands Capital Ventures, UPMC Enterprises, and Kaiser Permanente Ventures.

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Google said Friday it will provide a new stream of automated insights in its Google Analytics mobile app, allowing marketers to see key data metrics in a matter of minutes. Previously, it could take marketers several hours to discover the same data points, Google said. The new feature is available today on both Android and iOS. Other companies offer analytics products to their customers through machine learning -- IBM and its Watson Analytics comes to mind -- but few, if any, offer similar features on a mobile app. This can be especially useful for marketers who are on the go, about to head into a meeting or unfamiliar with analytics products. "I think what Google is realizing is people tend to exhibit the same behaviors when they pull reports from Analytics," said Kevin Lee, executive chairman and co-founder of Didit, a full-service digital agency that specializes in search.