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Make Your Investment in Analytic Technology Pay Off With Decision Requirements Modeling

Decision Management Solutions

Like many enterprises, you’ve likely made a hefty investment in analytic technology—from interactive dashboards and advanced visualization tools to data mining, predictive analytics, machine learning (ML), and artificial intelligence (AI). All these elements have a significant role in analytic projects. Get started.

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6 trends framing the state of AI and ML

O'Reilly on Data

Reinforcement learning fell by 5% in 2019; it’s up hugely—1,500+%—since 2017, however. As organizations adopt analytic technologies, they’re discovering more about themselves and their worlds. We compared aggregated data for the last three years; a full year of data for 2017 and 2018, and through the end of October for 2019. [2]

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Telecom Network Analytics: Transformation, Innovation, Automation

Cloudera

Advanced predictive analytics technologies were scaling up, and streaming analytics was allowing on-the-fly or data-in-motion analysis that created more options for the data architect. The Explosion in Telco Big Data: 2012-2017. First, AI was on the rise, and demanding consistent, large data sets.

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An Overview of Revenue Analytics for Event Industry

BizAcuity

The below mentioned chart shows how Digital Revenue beats Analog Revenue according to the Gartner Data and Analytics Leadership Vision for 2017 Report. The revenue analytics market size estimated to grow from $9.27 North America has the largest market share due to technological advancements in revenue analytics technologies.

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Can Predictive Analytics Help Traders Navigate Bitcoin’s Volatility?

Smart Data Collective

The financial industry is becoming more dependent on machine learning technology with each passing day. Last summer, a report by Deloitte showed that more CFOs are using predictive analytics technology. Many experts are using predictive analytics technology to forecast the future value of bitcoin.

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Winning the Future: Digital Transformation, the Cloud, and AWS

Sisense

There’s an insane amount of data today and most of it is new — an IBM study from 2017 asserted that 90% of all data had been created in the previous two years. We also happen to be an AWS Data & Analytics Competency Partner , the highest possible recognition of our analytics technology leadership position.