AMP Robotics : strategic governance for building a green business with responsible use of AI / Joachim Timlon.

Format:

Book

Author/Creator:

Timlon, Joachim, author.

Series:

SAGE Business cases.

SAGE Business cases

Language:

English

Subjects (All):

Robotics--Technological innovations--Case studies.

Robotics.

Artificial intelligence--Technological innovations--Case studies.

Artificial intelligence.

Artificial intelligence--Environmental aspects--Case studies.

Corporate governance--Case studies.

Corporate governance.

Physical Description:

1 online resource.

Other Title:

Strategic governance for building green business with responsible use of artificial intelligence

Place of Publication:

London : SAGE Publications: SAGE Business Cases Originals, 2024.

Summary:

Net zero is transforming the global economy, creating significant growth potential for advanced recycling technologies for waste. AMP Robotics (AMP) is a pioneer in artificial intelligence (AI) and robotics used to recover commodities reclaimed as raw materials for the global supply chain. AMP is a green tech start-up company founded by Dr. Matanya Horowitz, who developed and commercialized AMP's breakthrough artificial intelligence (AI) platform, which automates the high-speed identification, sorting, picking, and processing of material streams. The company has experienced tremendous growth and is today working to remake the fundamental economics of recycling. The board will have to make strategic decisions for how to capture the business opportunity of advanced recycling technologies. They will need an overall strategy to capture the value that can be generated by automating large processes, practices of how to use and successfully scale key technologies, identify the greatest AI risks, and implement both broad and deeply nuanced controls to tackle and sidestep them. The case provides students with strategic tools advantageous for steering fast-moving, high-growth ventures, enabling them to create and design a model to govern the building of a green business by implementing intelligent technologies at scale at the same time as mitigating AI risks and unwanted, and sometimes serious, consequences.

Notes:

Description based on XML content.

ISBN:

1-0719-4001-5

9781071940013

OCLC:

1417357683