Remove Business Objectives Remove Data Quality Remove Data Science Remove Metadata
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Data architecture strategy for data quality

IBM Big Data Hub

Poor data quality is one of the top barriers faced by organizations aspiring to be more data-driven. Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues.

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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

First, don’t do something just because everyone else is doing it – there needs to be a valid business reason for your organization to be doing it, at the very least because you will need to explain it objectively to your stakeholders (employees, investors, clients). The latter is essential for Generative AI implementations.

Strategy 290
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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

This post also discusses the art of the possible with newer innovations in AWS services around streaming, machine learning (ML), data sharing, and serverless capabilities. The source data is usually in either structured or semi-structured formats, which are highly and loosely formatted, respectively.

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Bringing an AI Product to Market

O'Reilly on Data

There’s a substantial literature about ethics, data, and AI, so rather than repeat that discussion, we’ll leave you with a few resources. Ethics and Data Science is a short book that helps developers think through data problems, and includes a checklist that team members should revisit throughout the process.

Marketing 362
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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data. Then, you transform this data into a concise format.

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Salesforce acquisition of Tableau – What does it mean?

Andrew White

Some might conclude this is a new trend; some might look back at the days when SAP acquired Business Objects and IBM acquired Cognos and Oracle acquired Siebel. Data Management. Data and Analytics Governance. There is also a lot of action in the data and analytics governance space for sure.

IT 82
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Big Data Fabric Weaves Together Automation, Scalability, and Intelligence

Cloudera

An organization needs a unified data management and analytics platform that can support its business objectives. Cloudera Enterprise is a one-stop shop for running analytics models and algorithms against multiple data sources across on-premises and cloud, and sometimes real-time data sources. Source: Cloudera.