The Hardest Part of AI & Analytics Is Not AI, It Is Data Management from Pluralsight

Big Data LDN 2019 | The Hardest Part of AI & Analytics Is Not AI, It Is Data Management | Greg Hanson

AI and predictive analytics hold a great promise for organisations. Fraud detection, next-best action, operational efficiency and forecast analysis are among the many business challenges that AI and analytics can help solve. However, bad data is currently hindering AI since machine learning (ML) models are only as good as the data you feed them. In this session, Greg Hanson of Informatica will discuss an end-to-end data engineering approach to achieving good clean data you can trust for successful AI initiatives. This approach includes data discovery, ingestion, integration, quality, prep, and governance.

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Suitable for data science, analytics, machine learning, and information management learners with at least 2 years of experience

Emphasizes the crucial role of data management in AI initiatives

Taught by Greg Hanson, a recognized expert in data engineering and management

Covers key aspects of data engineering, from data discovery to data governance

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Learners who complete The Hardest Part of AI & Analytics Is Not AI, It Is Data Management will develop knowledge and skills that may be useful to these careers:

Data Manager

Data Managers are responsible for planning, organizing, and managing an enterprise's data assets. They ensure that data is accurate, complete, and consistent across all systems. This course may be particularly useful for Data Managers, as it provides an overview of best practices for data management, including data discovery, ingestion, integration, quality, preparation, and governance. These skills can help Data Managers improve the quality of their data and make it more accessible to users.

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Data Engineer

Data Engineers design, build, and maintain data pipelines that move data between different systems. They also develop tools and processes to improve the quality and accessibility of data. This course can be helpful for Data Engineers, as it provides an overview of best practices for data engineering, including data discovery, ingestion, integration, quality, preparation, and governance. These skills can help Data Engineers build more efficient and effective data pipelines.

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Data Analyst

Data Analysts use data to identify trends, patterns, and insights that can help businesses make better decisions. They also develop and implement data visualization tools to communicate their findings to stakeholders. This course can be useful for Data Analysts, as it provides an overview of best practices for data management, including data discovery, ingestion, integration, quality, preparation, and governance. These skills can help Data Analysts improve the quality of their data and make it more accessible to users.

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Machine Learning Engineer

Machine Learning Engineers design, build, and maintain machine learning models. They also develop tools and processes to improve the accuracy and efficiency of machine learning models. This course can be useful for Machine Learning Engineers, as it provides an overview of best practices for data engineering, including data discovery, ingestion, integration, quality, preparation, and governance. These skills can help Machine Learning Engineers build more efficient and effective machine learning models.

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Data Scientist

Data Scientists use data to develop new products and services. They also use data to improve the efficiency of existing products and services. This course may be useful for Data Scientists, as it provides an overview of best practices for data management, including data discovery, ingestion, integration, quality, preparation, and governance. These skills can help Data Scientists improve the quality of their data and make it more accessible to users.

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Business Analyst

Business Analysts use data to identify business problems and opportunities. They also develop and implement solutions to business problems. This course may be useful for Business Analysts, as it provides an overview of best practices for data management, including data discovery, ingestion, integration, quality, preparation, and governance. These skills can help Business Analysts improve the quality of their data and make it more accessible to users.

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Project Manager

Project Managers plan, organize, and execute projects. They also track project progress and ensure that projects are completed on time and within budget. This course may be useful for Project Managers, as it provides an overview of best practices for data management, including data discovery, ingestion, integration, quality, preparation, and governance. These skills can help Project Managers improve the quality of their data and make it more accessible to users.

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Database Administrator

Database Administrators design, build, and maintain databases. They also develop and implement tools and processes to improve the performance and security of databases. This course may be useful for Database Administrators, as it provides an overview of best practices for data management, including data discovery, ingestion, integration, quality, preparation, and governance. These skills can help Database Administrators improve the quality of their data and make it more accessible to users.

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Software Engineer

Software Engineers design, build, and maintain software applications. They also develop and implement tools and processes to improve the quality and efficiency of software applications. This course may be useful for Software Engineers, as it provides an overview of best practices for data management, including data discovery, ingestion, integration, quality, preparation, and governance. These skills can help Software Engineers improve the quality of their data and make it more accessible to users.

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Web Developer

Web Developers design, build, and maintain websites. They also develop and implement tools and processes to improve the performance and security of websites. This course may be useful for Web Developers, as it provides an overview of best practices for data management, including data discovery, ingestion, integration, quality, preparation, and governance. These skills can help Web Developers improve the quality of their data and make it more accessible to users.

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Data Architect

Data Architects design and build data architectures. They also develop and implement tools and processes to improve the performance and scalability of data architectures. This course may be useful for Data Architects, as it provides an overview of best practices for data management, including data discovery, ingestion, integration, quality, preparation, and governance. These skills can help Data Architects improve the quality of their data and make it more accessible to users.

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Information Security Analyst

Information Security Analysts design and implement security measures to protect data and systems from unauthorized access, use, disclosure, disruption, modification, or destruction. This course may be useful for Information Security Analysts, as it provides an overview of best practices for data management, including data discovery, ingestion, integration, quality, preparation, and governance. These skills can help Information Security Analysts improve the security of their data and systems.

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Network Administrator

Network Administrators design, build, and maintain networks. They also develop and implement tools and processes to improve the performance and security of networks. This course may be useful for Network Administrators, as it provides an overview of best practices for data management, including data discovery, ingestion, integration, quality, preparation, and governance. These skills can help Network Administrators improve the quality of their data and make it more accessible to users.

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IT Manager

IT Managers plan, organize, and direct the activities of an organization's IT department. They also develop and implement IT policies and procedures. This course may be useful for IT Managers, as it provides an overview of best practices for data management, including data discovery, ingestion, integration, quality, preparation, and governance. These skills can help IT Managers improve the quality of their data and make it more accessible to users.

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CIO

CIOs are responsible for the overall IT strategy and operations of an organization. They also develop and implement IT policies and procedures. This course may be useful for CIOs, as it provides an overview of best practices for data management, including data discovery, ingestion, integration, quality, preparation, and governance. These skills can help CIOs improve the quality of their data and make it more accessible to users.

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