Executive Development Programme in RetailTech IP for the Future

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The Executive Development Programme in RetailTech IP for the Future is a certificate course designed to empower professionals with the latest Retail Technology innovations and trends. This programme emphasizes the importance of integrating technology into retail operations for improved efficiency, customer experience, and data-driven decision-making.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

Learners will gain essential skills in areas such as AI, machine learning, data analytics, and the Internet of Things (IoT), equipping them to lead retail businesses in the digital age. With the retail industry rapidly evolving, there is an increasing demand for professionals who can leverage technology to drive growth and innovation. By enrolling in this course, learners will not only enhance their skillset and knowledge but also position themselves as valuable assets in the competitive retail landscape. This programme is an excellent opportunity for career advancement, providing learners with the tools and insights necessary to succeed in the rapidly changing retail industry.

100%ใ‚ชใƒณใƒฉใ‚คใƒณ

ใฉใ“ใ‹ใ‚‰ใงใ‚‚ๅญฆ็ฟ’

ๅ…ฑๆœ‰ๅฏ่ƒฝใช่จผๆ˜Žๆ›ธ

LinkedInใƒ—ใƒญใƒ•ใ‚ฃใƒผใƒซใซ่ฟฝๅŠ 

ๅฎŒไบ†ใพใง2ใƒถๆœˆ

้€ฑ2-3ๆ™‚้–“

ใ„ใคใงใ‚‚้–‹ๅง‹

ๅพ…ๆฉŸๆœŸ้–“ใชใ—

ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข
Unit 1: Introduction to RetailTech IP
โ€ข
Unit 2: Retail Technology Trends
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Unit 3: Intellectual Property (IP) Protection in RetailTech
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Unit 4: Legal Frameworks for RetailTech IP
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Unit 5: RetailTech Innovation and IP Strategy
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Unit 6: Monetizing RetailTech IP
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Unit 7: RetailTech IP Licensing and Commercialization
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Unit 8: IP Portfolio Management in RetailTech
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Unit 9: RetailTech IP Disputes and Litigation
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Unit 10: Future of RetailTech IP

ใ‚ญใƒฃใƒชใ‚ขใƒ‘ใ‚น

In this Executive Development Programme, we focus on the most relevant retail technology roles in the UK market, offering a well-rounded understanding of RetailTech IP for the future. 1. **Data Scientist (25%)**: In high demand, data scientists use statistical methods and machine learning to extract insights from large datasets, enabling data-driven business decisions. 2. **RetailTech Engineer (30%)**: RetailTech engineers create and optimize technology solutions tailored to retail businesses, ensuring seamless integration and efficient operations. 3. **Business Intelligence Analyst (20%)**: These professionals analyze retail business data to identify trends and opportunities. They provide actionable insights to drive growth and optimize performance. 4. **Product Manager (RetailTech) (15%)**: Responsible for managing the development and lifecycle of RetailTech products, ensuring they meet market needs and contribute to business success. 5. **AI/ML Engineer (10%)**: Specializing in artificial intelligence and machine learning, these engineers create advanced algorithms for automating processes and generating predictive insights in retail.

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ใ‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
EXECUTIVE DEVELOPMENT PROGRAMME IN RETAILTECH IP FOR THE FUTURE
ใซๆŽˆไธŽใ•ใ‚Œใพใ™
ๅญฆ็ฟ’่€…ๅ
ใงใƒ—ใƒญใ‚ฐใƒฉใƒ ใ‚’ๅฎŒไบ†ใ—ใŸไบบ
London School of International Business (LSIB)
ๆŽˆไธŽๆ—ฅ
05 May 2025
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