Analytics

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To kick-start AI projects, think "minimum viable intelligence"

AI systems don't need to be perfect to be put into production. They just need to be better than humans.

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What is a data analyst? A key role for data-driven business decisions

Data analysts help organizations understand the current state of the business by interpreting a wide range of data.

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Explainable AI: Bringing trust to business AI adoption

For many organizations, AI remains a mystery not to be trusted in production, thanks to its lack of transparency. But demand, advances, and emerging standards may soon change all that.

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Tableau explains your data with new natural-language tool

Tableau latest self-service capability, Explain Data, provide users with automated analysis of their data visualizations in ways they can readily understand.

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Healthcare data’s moment of lift

The unlocking of patient data is leading us to a future when health care will be a vastly improved experience with superior outcomes. However, there will be guard rails around consumer access to personal health records.

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Power BI vs. Tableau: Self-service analytics tools compared

Self-service business intelligence has become the go-to tool for business decisions. Here’s how Power BI and Tableau stack up on features and pricing.

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IRS combats fraud with advanced data analytics

The Internal Revenue Service deals with billions of dollars in identity theft tax refund fraud every year. Anomaly detection powered by advanced analytics is helping to combat it.

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6 tools that make machine learning easier

Vendors are taking the mystique out of machine learning by offering layers for automating data prep and algorithm choices, opening up AI to motivated, data-smart business users.

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6 data analytics success stories: An inside look

Leading CIOs are successfully tapping data analytics and machine learning to achieve business goals.

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Tesla, the data company

Tesla is harnessing artificial intelligence and machine learning to build one of the most innovative neural networks in the world.

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8 technologies that will disrupt business in 2020

From artificial intelligence to augmented reality, these eight disruptive technologies and trends will begin driving how business gets done at forward-thinking organizations in the years to come.

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Advanced analytics gives health benefit company competitive edge

BlueCross BlueShield of Tennessee drills into data to help its partners better tackle budget pressures and member care by getting insights faster.

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IDC MarketScape: Evaluating 12 leading enterprise performance management (EPM) vendors

Enterprise Performance Management has emerged as one of the fastest-growing subsets of the big data and analytics market. EPM software measures, analyzes and optimizes financial performance management, planning, forecasting and...

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Kaiser Permanente reduces patient mortality with predictive analytics

The managed care consortium's Advance Alert Monitor early warning system uses predictive analytics to identify patients at risk of deterioration within the next 12 hours.

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What is predictive analytics? Transforming data into future insights

Predictive analytics can help your organization forecast future outcomes based on historical data and analytics techniques such as machine learning.

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Summer 2019: Digital leaders level up

While some companies flirt with digital transformation, experimenting with one-off projects, others make it a key pillar of their enterprise business strategies. Read on to see how some 2019 CIO 100 award-winning organizations are...

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How Zulily targets shoppers with hyper-personalized offers

The online retailer turns squads of developers, data scientists and product managers loose to build machine learning software and other critical business capabilities.

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The hot market for data science and analytics

The value of improved data analytics, integration and visualization has surged in importance in recent years, highlighted by many recent acquisitions of companies in the space. CIOs should prioritize team education, modern toolsets...

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6 reasons why AI projects fail

Data issues are among the chief reasons why AI projects fall short of expectations. But if you can learn from the mistakes and commit to the long term, your AI efforts are more likely to pay off.

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10 customer experience strategies IT should target next

CIO are increasingly being asked to help attract, manage and support customers. These technologies and practices can help enhance your company’s CX and fuel revenue for your digital transformation.

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