What if your organization could leverage AI and machine learning to automate 50 to 70 percent of mundane tasks without sacrificing intelligent decision making. Chances are, you want to learn more. These figures, from McKinsey & Company*, represent the returns that teams are actually realizing by using Intelligent Process Automation (IPA). And they can become your reality, too. Join us to learn how IPA can deliver results for your organization by coupling AI, specifically machine learning, with Robotic Process Automation (RPA).

It goes without saying, in order to train data science models to produce predictive forecasts, you need data. But the process of getting the data into models is not always cut and dry, as data science and analytics teams continue to struggle with getting the right kind of data, in the proper format, for the appropriate analysis. As a result, teams end up spending more time uncovering and preparing data for data science models than they do on refining the actual models. But this doesn’t have to be the case.

As AI becomes ubiquitous, more and more high-stakes decisions will be made automatically by machine learning models. AI can determine the very future of your business and can make life-or-death decisions for real people.

Football and other sports have changed dramatically by adopting Artificial Intelligence - and will disrupt every business industry. Decisions across the organization benefit greatly by injecting data science, which more accurately comprehend the complexities of real-life information. Predictions and recommendations are improved for use cases off the field (marketing, ticket pricing), in-game strategy, and recruiting players.

Companies across industries face new challenges connecting with empowered consumers. Customers have been completely altering their shopping habits in recent months like never before. With shops closed or limited entry, purchasing has shifted to online, loyalty has shifted by industry and brand, safety is paramount, and all of it varies by geography. Learn how best-in-class retailers are using AI and machine learning to identify signals in their data to become truly customer-centric.

Today, businesses are being asked to do more with less, while finding new ways to not only stay competitive, but also outpace the competition. Most often, these same businesses also find themselves armed with a plethora of data, that when leveraged with the right technology, can help achieve the mission at hand.

Watch this joint webcast, Optimise Your Business in Zero-Clicks with DataRobot and MicroStrategy, to learn how to ditch spreadsheet distribution and make advanced analytics useful for your entire workforce.

While you have hired top-notch data scientists to build models and invested in data science tools, you still can’t get your AI projects off the ground. Research shows that the share of AI models created but never put into production is anywhere between 50 and 90%. So what can teams do to gain value from AI?

In this on-demand webinar, VP of Engineering David Kline and Stephen Pidliskey, Sr. Data Engineer, both of Beacon Street Services demonstrate how the company drives greater business value by using Snowflake and DataRobot to power machine learning models.