When AI focuses on the boardroom
How data science, machine learning and artificial intelligence are changing activism
This three-part webinar series examine corporate focused activism by shareholders, short-sellers and social movements. In the series, Grant Fuller (Irithmics CEO) explores the origins and science of activism. The series examines how activism propagates and spreads, and explores how data science, machine learning and artificial intelligence can facilitate the proliferation and containment of corporate focused activism.
The series will be of interest to a wide audience from corporates, their executive management, boards, investor relations and capital markets advisors to engaged and activist investors, short-sellers and social movement campaigners of environmental, social and governance concerns.
As Fortune Magazine concluded, the science and technology “could make virtually any investors to be an activist investor”.
How you apply this science and technology – to weaken and erode, strengthen and reinforce the legitimacy and argument of a corporate, its management and board, of an activist shareholder or short-seller, or of climate change and environmental or other social movement causes – well, that’s up to you: we show you how.
The core components of activist and counter-activist campaigns which shape their ability to affect change.
How activist and counter-activist campaigns amplify and fuel the voice of challenge, criticism and disapproval. Understanding the mechanisms by which this occurs enables the voice (their message, strategy or discontent) of activists and corporates to more effectively resonate with other stakeholders and shareholders. While some do this well, other do not: this webinar explains why and demonstrates how activists and corporates can amplify their voice.
Activist campaigns leverage support and influence of capital markets, shareholders, employees, customers, society, regulators and policy makers. Understanding the mechanisms by which campaigns exert influence provides a disproportionate competitive advantage to those activists or corporates, placing those who do not at a distinct disadvantage. This webinar explains why and demonstrates how activists and corporates use data science, machine learning and artificial intelligence to shape their influence.
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