Intelligent Economies: AI's transformation of industries and society

Today AI is used by financial services companies to serve customers better and detect fraud; by healthcare providers to more accurately diagnose illness and identify more effective treatments; by manufacturers to keep machines up and running on the plant floor and to streamline supply chains; and by city authorities to track and mitigate urban challenges such as traffic, pollution and crime.  As AI becomes increasingly embedded in society, it will not only change the businesses that adopt it but also have significant economic, social and civic effects on citizens and consumers  

Making the Most of Machine Learning: How will AI affect business process outsourcing?

Watch our video above to learn how AI will affect business processing and oursourcing from:

-Stanton Jones, Director and Principle Analyst, ISG

Making the Most of Machine Learning: How will AI change organisational culture and structure?

Watch our video above to learn how AI will change organisational culture and structure from:

-Stanton Jones, Director and Principle Analyst, ISG
-Suhir Jha, Head of Product Management Strategy, Infosys 
-Cliff Justice, Principle, Innovation & Enterprise Solutions, KPMG

Making the Most of Machine Learning: What are the advantages for business?

Watch our video above to learn about the advantages Machine Learning can offer your business from:

-Cliff Justice, Principle, Innovation & Enterprise Solutions, KPMG
-Suhir Jha, Head of Product Management Strategy, Infosys 

위험과 보상: 머신러닝의 경제적영향에 관한 시나리오

인공지능(AI)과 그 주요 분야 중 하나인 머신러닝의 발전에는 특히 기술의 사회와 경제에 대한 영향에 관한 현재의 논쟁이 시사하는 것보다도 불확실성이 더 큽니다. 물론 진정 놀라운 발전이 있었으며 지지자들이 이를 강조하는 것도 맞습니다. 10년 전만 해도 자동차가 통제된 환경에서라 해도 자율주행할 수 있다고 믿거나, 알고리즘이 사진을 분류하고 정리하는 방법을 학습할 수 있다고 믿는 사람은 소수에 불과했습니다. 그러나 지금은 그 둘 다 가능할 뿐만 아니라 다양한 형태의 인공지능이 일주일이 멀다 하고 새로운 작업을 수행하고 있습니다.

Embracing the chatbot

An efficiency boost for the professional services industry

Risks and rewards: Scenarios around the economic impact of machine learning

There is more uncertainty around advances in artificial intelligence (AI) and one of its major sub-sets, machine learning, than the current debate suggests, particularly with regard to the technology’s impact on society and the economy. No doubt the advances have indeed been incredible and advocates are right to highlight them. However, not everyone views this as an unalloyed good. In fact, there is great concern that AI poses a threat to jobs, privacy, and, eventually, even humanity.

Why AI and machine learning demand high-quality information

As machine learning becomes pervasive, the quality of the information from which patterns and insight are extracted will be paramount

Genesis of the data-driven bug

In May of this year, non-profit news organisation ProPublica published a critical story about the use of algorithms in the criminal justice system. They revealed via rigorous statistics that the algorithm tasked with predicting future criminals was racially biased against African Americans. Relying on the output of algorithms without sufficient oversight was leading to the opposite of objectivity—instead of mitigating bias it was introducing it.

Automation and the data-driven future of manufacturing

Why the growing sophistication of automated manufacturing accentuates the strategic value of data

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