Remove Artificial Intelligence Remove Data Warehouse Remove Vision
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Putting the Business Back Into Business Innovation

Timo Elliott

The industry analysts all have a similar vision of what that agile future of business looks like. SAP BTP brings together data and analytics, artificial intelligence, application development, automation, and integration in one, unified environment. So innovation has to mean business! Business Process. Business Context.

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Top Data and Analytics Posts of 2019

Sisense

5 Advantages of Using a Redshift Data Warehouse. Whatever business you’re in, your company is becoming a data company. That means you need to put all that data somewhere. Chances are it’s in a data warehouse, and even better money says it’s an AWS data warehouse. A vision for the future.

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How Data Management and Big Data Analytics Speed Up Business Growth

BizAcuity

The return on investment is a huge concern expressed by a fair share of businesses or if they are ready yet for managing such a huge level of data. The truth is that with a clear vision, SMEs too can benefit a great deal from big data. Enterprise Big Data Strategy. Customer Experience.

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Invoice data extraction 101: How to extract data from invoices in 2025

Astera

Simply put, invoice data extraction is the process of retrieving the requisite data from one or more invoices. Today, the term refers to the automated method of pulling data from invoices in bulk via tools powered by artificial intelligence (AI) and machine learning algorithms.

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Deriving Value from Data Lakes with AI

Sisense

Artificial Intelligence and machine learning are the future of every industry, especially data and analytics. AI and ML are the only ways to derive value from massive data lakes, cloud-native data warehouses, and other huge stores of information. Use AI to tackle huge datasets.

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It’s Time for Data Historians to Become … History

Actian

There are many Operational Technology (OT) environments within manufacturing, oil and gas, engineering research, and countless other industries where complex equipment, machinery, and networks of sensors and devices generate time-series data. Modern Time-Series Databases capture multi-modal data.

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16 Best Business Intelligence Books To Get You Off the Ground With BI

Data Pine

Not only will you learn how to handle big data and use it to enhance your everyday operations, but you’ll also gain access to a host of case studies that will put all of the tips, methods, and ideas into real-world perspective. It’ll help your BI dashboards with the operational, tactical, and strategic vision of your business.