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13 power tips for Microsoft Power BI

CIO Business Intelligence

Power BI is Microsoft’s interactive data visualization and analytics tool for business intelligence (BI). You can also use Power BI to prepare and manage high-quality data to use across the business in other tools, from low-code apps to machine learning.

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How Enterprises Boosted AI Through Infrastructure Upgrades

CIO Business Intelligence

They wanted to create better scorecards, which have been around since the 1950s, through a machine learning approach. While the GPU-accelerated code was very fast, it lacked a feature required to generate the scorecards for the bank. Where can new AI thinking take your business?

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The Business Intelligence Market – What’s Old is New

In(tegrate) the Clouds

As the data visualization, big data, Hadoop, Spark and self-service hype gives way to IoT, AI and Machine Learning, I dug up an old parody post on the business intelligence market circa 2007-2009 when cloud analytics was just a disruptive idea. No, let’s call it business intelligence. IT couldn’t find them.

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Advice from procurement: How to evaluate and propose new IT investments

CIO Business Intelligence

Consider your company scorecard: Your procurement team has a scorecard with clear metrics to evaluate purchase decisions. For example, if you’re proposing to invest in a security solution powered by AI and machine learning , it would behoove you to present cost savings from automated security, such as that from IBM.

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AWS Professional Services scales by improving performance and democratizing data with Amazon QuickSight

AWS Big Data

We were frustrated by the limitations of our previous business intelligence (BI) solution, which was holding us back from our vision to accelerate data sharing, team collaboration, and security within Amazon. To scale and continue innovating, we developed a secure Amazon QuickSight environment for our internal customers.

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10 emerging innovations that could redefine IT

CIO Business Intelligence

Once wild and seemingly impossible notions such as large language models, machine learning, and natural language processing have gone from the labs to the front lines. Does that machine learning algorithm really need to study one terabyte of historical data or could it get the same results with several hundred gigabytes.

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10 Best Big Data Analytics Tools You Need To Know in 2023

FineReport

The Big Data ecosystem is rapidly evolving, offering various analytical approaches to support different functions within a business. ” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards. Descriptive Analytics is used to determine “what happened and why.”