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Unlocking the Power of AI with a Real-Time Data Strategy

CIO Business Intelligence

To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making. It’s also used to deploy machine learning models, data streaming platforms, and databases.

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3 Takeaways from Gartner’s 2018 Data and Analytics Summit

DataRobot Blog

For those of you who did not attend the summit, we have cited Gartner research as the sessions predominantly reflected the most recent Gartner published papers. 1) People and machines come together to create a more powerful and agile experience. From all the sessions and conversations, we took away three important themes.

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Top 5 Resources to Understand the Role of AI/ML in Embedded Analytics 

Jet Global

Every day, more companies unlock the potential of artificial intelligence (AI) and machine learning. When AI and machine learning are utilized in embedded analytics, the results are impressive. It uses past data, machine learning, and smart AI to forecast what’s coming down the road.

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The 4 Common Challenges of Predictive Analytics Solutions

Jet Global

Predictive analytics is a branch of analytics that uses historical data, machine learning, and Artificial Intelligence (AI) to help users act preemptively. Predictive analytics answers this question: “What is most likely to happen based on my current data, and what can I do to change that outcome?”

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3 Ways Embedded Analytics Boosts Data Literacy

Jet Global

Predictive Analytics Predictive analytics, machine learning and artificial intelligence have lit a fire under your customers. White-labelled embedded analytics software kicks this up a notch, but allowing you to beautify dashboards with your customer’s personal branding, guaranteed to catch the eye of their buying team.

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Accelerate Your Roadmap, Delight Your Customers: How Embedded Analytics Supercharges Your Application

Jet Global

Embedded AI and machine learning models give your customers the foresight they need to make informed decisions, optimize resources, and gain a competitive edge. Get your application to market faster with built-in data power.

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How to Handle Missing Data Values While Data Cleaning

Jet Global

To improve the effectiveness of the data cleaning process, the current trend is to migrate from manual data cleaning to more intelligent, machine learning-based processes. In fact, most project teams spend 60 to 80 percent of total project time cleaning their data—and this goes for both BI and predictive analytics.