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Must-Have AI Features for Your App

Sisense

In the case of a stock trading AI, for example, product managers are now aware that the data required for the AI algorithm must include human emotion training data for sentiment analysis. It follows then that data scientists are suddenly integral to building embedded AI components.

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Customer Success: Earning Trust Through Partnership

Sisense

Learning about their day-to-day needs and long-term vision allows us to use our internal expertise to map out a customer journey and guide them each step of the way. Every customer has something to teach us about how companies use data to transform a business or change lives.

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A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

Data Pine

Advanced vision and attention to detail: By its very nature, business intelligence is incredibly detail-oriented. You will need a great deal of forward-thinking vision and the ability to pay very close attention to detail to succeed in the fast-paced world of BI. They can help a company forecast demand, or anticipate fraud.

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The Benefits, Challenges and Risks of Predictive Analytics for Your Application

Insight Software

In this modern, turbulent market, predictive analytics has become a key feature for analytics software customers. Predictive analytics refers to the use of historical data, machine learning, and artificial intelligence to predict what will happen in the future.

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Elevate Insights: How Embedded Analytics Boost Decision Intelligence

Insight Software

If you want to empower your users to make better decisions, advanced analytics features are crucial. These include artificial intelligence (AI) for uncovering hidden patterns, predictive analytics to forecast future trends, natural language querying for intuitive exploration, and formulas for customized analysis.

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What Is Embedded Analytics?

Insight Software

Build the vision of how insights will be readily available inside the applications in which they already have access. Have a Vision, But Build in Phases Building analytics into your application can be overwhelming as you foresee how far you must go to reach your vision. Diagnostic Analytics: No longer just describing.