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AI-driven Retail for the 21st Century

Big Data LDN 2019 | AI-driven Retail for the 21st Century | Andy Hopcraft

Despite many early initiatives, most retailers know that they could derive greater value from the data at their disposal. How can they achieve this? In this session, Andy Hopcraft will overview how SDG Group is transforming marketing, operations and supply chain for some of the best-known brand retailers through the application of AI and ML, leveraging a modern cloud data architecture. SDG will discuss their approach, methodology and platform using real-world scenarios.

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big data ai-enabled retail 21st century retail machine learning retail analytics artificial intelligence

What's inside

Syllabus

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Develops and enhances applicable skills for a variety of learners within supply chains

Examines artificial intelligence and machine learning, which are highly relevant to business and industry

Course instructors appear to have a background in this field

Taught by Andy Hopcraft, who is recognized for their work in this field

Clear and well defined learning objectives

Teaches applicable skills for today's retail industry

Covers practical concepts with real-world scenarios

May require previous knowledge or experience in the field

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Career center

Learners who complete AI-driven Retail for the 21st Century will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists use scientific methods to extract knowledge from data in order to solve problems. They build machine learning models that automate complex tasks, such as image recognition, natural language processing, and predictive analytics. This course can be helpful for Data Scientists who want to use AI and ML to improve marketing, operations, and supply chain management for retail companies. The course will provide Data Scientists with the knowledge and skills they need to build and deploy AI and ML models in a cloud data architecture.

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Machine Learning Engineer

Machine Learning Engineers design, develop, and deploy machine learning models for various applications. They work closely with Data Scientists to turn machine learning models into real-world products and services. This course can be helpful for Machine Learning Engineers who want to use AI and ML to improve marketing, operations, and supply chain management for retail companies. The course will provide Machine Learning Engineers with the knowledge and skills they need to build and deploy AI and ML models in a cloud data architecture.

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Business Analyst

Business Analysts use data analysis to identify and solve business problems. They work with stakeholders to understand their needs and then use data to develop solutions. This course can be helpful for Business Analysts who want to use AI and ML to improve marketing, operations, and supply chain management for retail companies. The course will provide Business Analysts with the knowledge and skills they need to analyze data and develop AI and ML solutions.

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Marketing Manager

Marketing Managers plan and execute marketing campaigns to promote products or services. They work with other departments to develop and implement marketing strategies. This course can be helpful for Marketing Managers who want to use AI and ML to improve the effectiveness of their marketing campaigns. The course will provide Marketing Managers with the knowledge and skills they need to use AI and ML to target customers, personalize marketing messages, and measure the success of marketing campaigns.

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Operations Manager

Operations Managers oversee the day-to-day operations of a business. They are responsible for ensuring that the business runs smoothly and efficiently. This course can be helpful for Operations Managers who want to use AI and ML to improve the efficiency of their operations. The course will provide Operations Managers with the knowledge and skills they need to use AI and ML to automate tasks, optimize processes, and improve decision-making.

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Supply Chain Manager

Supply Chain Managers oversee the flow of goods and services from suppliers to customers. They are responsible for ensuring that the supply chain is efficient and cost-effective. This course can be helpful for Supply Chain Managers who want to use AI and ML to improve the efficiency of their supply chain. The course will provide Supply Chain Managers with the knowledge and skills they need to use AI and ML to optimize inventory, improve logistics, and reduce costs.

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Data Architect

Data Architects design and build data architectures for organizations. They work with other stakeholders to understand the organization's data needs and then design and implement data architectures that meet those needs. This course can be helpful for Data Architects who want to use AI and ML to improve the performance and scalability of their data architectures. The course will provide Data Architects with the knowledge and skills they need to use AI and ML to optimize data storage, processing, and retrieval.

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Software Engineer

Software Engineers design, develop, and maintain software applications. They work with other stakeholders to understand the requirements of the software application and then design and implement the software application. This course can be helpful for Software Engineers who want to use AI and ML to improve the functionality and performance of their software applications. The course will provide Software Engineers with the knowledge and skills they need to use AI and ML to develop intelligent software applications.

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Product Manager

Product Managers are responsible for the development and launch of new products or services. They work with other stakeholders to define the product vision, develop the product roadmap, and launch the product to market. This course can be helpful for Product Managers who want to use AI and ML to improve the quality and success of their products or services. The course will provide Product Managers with the knowledge and skills they need to use AI and ML to identify customer needs, develop innovative products or services, and measure the success of their products or services.

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Quantitative Analyst

Quantitative Analysts use mathematical and statistical methods to analyze data and make predictions. They work with other stakeholders to identify and solve problems. This course can be helpful for Quantitative Analysts who want to use AI and ML to improve the accuracy and speed of their predictions. The course will provide Quantitative Analysts with the knowledge and skills they need to use AI and ML to develop predictive models, analyze data, and make informed decisions.

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Consultant

Consultants provide advice and guidance to organizations on a variety of topics. They work with clients to identify and solve problems. This course can be helpful for Consultants who want to use AI and ML to improve the quality and effectiveness of their consulting services. The course will provide Consultants with the knowledge and skills they need to use AI and ML to analyze data, develop insights, and make recommendations to clients.

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Market Researcher

Market Researchers conduct research to understand customer needs and preferences. They work with other stakeholders to develop and implement marketing strategies. This course can be helpful for Market Researchers who want to use AI and ML to improve the accuracy and effectiveness of their research. The course will provide Market Researchers with the knowledge and skills they need to use AI and ML to collect and analyze data, identify customer trends, and make informed decisions.

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Data Engineer

Data Engineers build and maintain data pipelines that collect, process, and store data. They work with other stakeholders to ensure that the data is accurate, reliable, and accessible. This course can be helpful for Data Engineers who want to use AI and ML to improve the efficiency and performance of their data pipelines. The course will provide Data Engineers with the knowledge and skills they need to use AI and ML to automate data collection, processing, and storage.

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Business Intelligence Analyst

Business Intelligence Analysts use data analysis to identify and solve business problems. They work with other stakeholders to develop and implement business intelligence solutions. This course can be helpful for Business Intelligence Analysts who want to use AI and ML to improve the accuracy and effectiveness of their business intelligence solutions. The course will provide Business Intelligence Analysts with the knowledge and skills they need to use AI and ML to analyze data, develop insights, and make informed decisions.

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Statistician

Statisticians collect, analyze, and interpret data. They work with other stakeholders to develop and implement statistical models. This course can be helpful for Statisticians who want to use AI and ML to improve the accuracy and effectiveness of their statistical models. The course will provide Statisticians with the knowledge and skills they need to use AI and ML to develop statistical models, analyze data, and make informed decisions.

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