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The Current State of AI Adoption

Irving Wladawsky-Berger

In the past few years, the necessary ingredients have finally come together to propel AI beyond early adopters to a broader marketplace: powerful, inexpensive computer technologies; advanced algorithms; and huge amounts of data on almost any subject. Overall, the business world is beginning to adopt AI. Telecom, high-tech and financial services firms lead the way in AI adoption. AI is seemingly everywhere.

How to Survive and Thrive in a World of Disruption

Irving Wladawsky-Berger

Evolutionary fitness of organizations is determined by their ability to effectively respond to environmental changes,” write Leo Tilman and Charles Jacoby in their recently published book Agility : How to Navigate the Unknown and Seize Opportunity in a World of Disruption. “Extinctions generally follow a familiar pattern. Adopting the agility mindset fundamentally transforms this perspective, turning a nice-to-have ‘luxury’ into a mission-critical priority.”.

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#AI4Good: What Your Nonprofit Needs To Know About AI

Beth Kanter

The survey will be implemented regularly to benchmark adoption of AI. Demystifying Machine Learning for Global Development, an article published in the Stanford Social Innovation Review, suggests that when it comes to global development, the key is to ask the right questions, and then see if and how it can help. Now instead of only relying on subjective responses, scientists can focus on patterns within the visual cortex using AI to better understand a subject’s feelings.

Trends That Will Likely Shape a Highly Uncertain Year

Irving Wladawsky-Berger

A month later , McKinsey added that “we have vaulted five years forward in consumer and business digital adoption in a matter of around eight weeks.”. Exactly where will have enormous implications: for transport patterns, property prices and the layout of cities, among other things.”.

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Why Some AI Efforts Succeed While Many Fail

Irving Wladawsky-Berger

Winning with AI , - a 2019 report based on a survey jointly conducted by the MIT Sloan Management Review and the Boston Consulting Group , - found that 90% of respondents agree that AI represents a business opportunity for their company. To help answer these questions, the study looked for patterns in the survey data and in the executive interviews to uncover what the companies that are succeeding with AI are doing.

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Philgorithms: Two Examples of Data Mapping to Guide Donor Decisions

Beth Kanter

As COVID accelerates innovative uses of AI in many areas, we are also seeing more development of AI-powered data mapping tools for philanthropic advising and to support donor investment decisions. Before the pandemic, Rhodri Davies, head of policy at Charities Aid Foundation (CAF), authored the 2019 white paper, “ Machine Made Goods: Charities, Philanthropy, and Artificial Intelligence ,” describing the opportunities. “If AI4Giving Innovation Philanthropy

Educational Research in Learning Technology

Stephen Downes: Half an Hour

There is no end to the number of papers that argue that we should abandon behaviourist theories and instead adopt newer and mostly constructionist theories of mind. Adopt a sceptical attitude from the outset Kerr, along with a number of other writers (most notably Audrey Watters), have argued that ed-tech has been over-hyped, and that we should not unquestioningly accept what we are being told. Be critical Very little edtech research considers the downsides of edtech adoption.