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WEBCAST: Analytics Through the Lens of Conversational AI

bridgei2i

WEBCAST: Analytics Through the Lens of Conversational AI. Business Intelligence (BI) has always been a valuable aid for decision making. But now, with the advances in AI, it is possible to make the insights from BI and analytics easier to consume, through a conversational interface. About the Webcast.

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Making a Plan for BI Implementation

Smarten

Planning for Adoption of Business Intelligence Without business intelligence, the enterprise does not have an objective understanding of what works, what does not work, and how, when and where to make changes to adapt to the market, its customers and its competition. What will make the most sense?

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How Macmillan Publishers authored success using IBM Cognos Analytics

IBM Big Data Hub

It’s no wonder then that Macmillan needs sophisticated business intelligence (BI) and data analytics. And in the last few years, the team realized there was an opportunity to expand beyond centralized operational reporting to enable further business growth.

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AI+BI: Augmented analytics will soon bring data-driven insight to the masses

Birst BI

When you hear the words “artificial intelligence,” (AI) what’s the first thing you think of: robots doing backflips , Alexa , medical diagnostic innovations or something else? If you’re a business intelligence (BI) and analytics application user, it’s likely that “data-driven insight to the masses” will soon be top-of-mind.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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The top 15 big data and data analytics certifications

CIO Business Intelligence

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

Big Data 126
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Seven Steps to Success for Predictive Analytics in Financial Services

Birst BI

Fortunately, advances in analytic technology have made the ability to see reliably into the future a reality. Business applications & the birth of BI. Since the dawn of business applications, the fundamental purpose of these applications has been to increase the efficiency of business processes.