Remove Data Governance Remove Data Integration Remove Forecasting
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Core technologies and tools for AI, big data, and cloud computing

O'Reilly on Data

Recent improvements in tools and technologies has meant that techniques like deep learning are now being used to solve common problems, including forecasting, text mining and language understanding, and personalization. Temporal data and time-series analytics. Forecasting Financial Time Series with Deep Learning on Azure”.

Big Data 271
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Becoming a machine learning company means investing in foundational technologies

O'Reilly on Data

Here are some typical ways organizations begin using machine learning: Build upon existing analytics use cases: e.g., one can use existing data sources for business intelligence and analytics, and use them in an ML application. Modernize existing applications such as recommenders, search ranking, time series forecasting, etc.

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CDOs: Your AI is smart, but your ESG is dumb. Here’s how to fix it

CIO Business Intelligence

Yet, while businesses increasingly rely on data-driven decision-making, the role of chief data officers (CDOs) in sustainability remains underdeveloped and underutilized. However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive.

IT 59
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How Data Governance Supports Analytics

Alation

People might not understand the data, the data they chose might not be ideal for their application, or there might be better, more current, or more accurate data available. An effective data governance program ensures data consistency and trustworthiness. It can also help prevent data misuse.

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Oracle Advances its AI-Enabled Supply Chain Management Suite

David Menninger's Analyst Perspectives

Accuracy can be improved significantly by incorporating external data such as GDP, industry data (for example, building permits or class 8 truck sales) and leading indicators. Especially important these days, it supports multi-cloud and hybrid environments to enable the integration of new applications with legacy systems.

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What is the Future of Business Intelligence in the Coming Year?

Smart Data Collective

Business intelligence software will be more geared towards working with Big Data. Data Governance. One issue that many people don’t understand is data governance. It is evident that challenges of data handling will be present in the future too. Advantage: unpaired control over data. .

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Data transformation takes flight at Atlanta’s Hartsfield-Jackson airport

CIO Business Intelligence

As part of its plan, the IT team conducted a wide-ranging data assessment to determine who has access to what data, and each data source’s encryption needs. There are a lot of variables that determine what should go into the data lake and what will probably stay on premise,” Pruitt says.