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Ready. Set. Scale. A practical primer on scaling AI for business value
Topics: AI
AI is regularly plagued by the headline: ‘robots are going to steal our jobs’. The fear felt by workers in roles which are looking to be automated with intelligent machines is of course understandable and justified, but there is much more to the AI conversation if instead of replacement, we consider what can be added to jobs done by people.
There is a lot of discussion about what AI can do right now, but for Marc Carrel-Billiard, at Accenture, it’s important to also look into the future of AI and consider what the next phase of this world-changing technology might be. “There are a lot of clients that talk about AI, but very few that talk about AI at scale; there’s a big difference between doing AI pilots and then doing AI at scale Carrel-Billiard explains.
Topics: AI
Conversations about AI are never complete without one word: ‘ethics.’ From exploratory discussions surrounding the famous Trolley Problem to more practical plans around data diversity, there are many considerations required to build and use AI responsibly in business and broader society.
We spoke to Laetitia Cailleteau, Global Managing Director, Conversational AI at Accenture, to find out how one of the most influential consultancy firms thinks about responsible AI, both internally and in discussions with their many global clients.
Unleashing AI Power
The steady decline in business profitability across multiple industries threatens to erode future investment, innovation and shareholder value. Fortunately, a new factor of production—artificial intelligence (AI)—is emerging that can help kick-start profitability.
Source: https://www.accenture.com/nl-en/insight-ai-industry-growth
Responsible AI: with opportunity comes responsibility - Accenture Insights
Topics: AI ethics
Research Report - Critical mass: Managing AI’s unstoppable progress
- We’re on the verge of a critical mass moment in artificial intelligence. Across every industry, organizations are encountering real success with AI on multiple fronts.
- Organizations that have successfully deployed AI recognize the strong connection between AI and analytics. They also understand that as AI becomes more pervasive, it must be responsible.
- The big challenge from now on? Managing AI’s unstoppable progress—personally, culturally, societally, and within businesses, governments and other organizations—to get more value, while keeping risks in check.