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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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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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Become More Data-Driven by Evolving Analytics Workloads

CIO Business Intelligence

Some examples include: Customer 360 analytics, retail inventory and sales analysis, manufacturing operational analysis, eCommerce fraud prevention, network security intelligence, data warehouse consolidation and discount pricing optimization. Just starting out with analytics?

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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.

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The top 15 big data and data analytics certifications

CIO Business Intelligence

AWS Certified Data Analytics The AWS Certified Data Analytics – Specialty certification is intended for candidates with experience and expertise working with AWS to design, build, secure, and maintain analytics solutions. The exam consists of 40 questions and the candidate has 120 minutes to complete it.

Big Data 126
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Understanding BI Tools in Today’s Market

Smarten

How Do We Define Business Intelligence Today? Business Intelligence (BI) is the lifeblood of an organization. As the Business Intelligence solution market evolves, it may be difficult for an organization to know when to invest in these tools, and which tools are best for enterprise and user needs.

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Building a Beautiful Data Lakehouse

CIO Business Intelligence

But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI. Traditional data warehouses, for example, support datasets from multiple sources but require a consistent data structure.

Data Lake 119