Anatomy of adaptive leaders in APAC: Navigating emerging technologies in economic uncertainty

The report uncovers several key findings highlighted below:

The digitisation of finance

The second episode of The EIU Digital Economy podcast examines the impact of digital technology on the financial services industry. Host Pete Swabey is joined by Greg Baxter, chief digital officer at US insurance company MetLife, and Tejal Mody, head of business development for Rabobank’s wholesale banking division, to discuss how digitisation has shaped insurance and banking so far, how they lead digital innovation within their organisations, and how the evolution of the industry will affect their employees and customers.

 

Seizing the opportunity: the future of AI in Latin America

As Latin America is looking to a post-covid future, this report examines the current state of AI in Argentina, Brazil, Chile, Colombia and Mexico and provides a high-level outlook for the next decade. Building on an interview programme with policymakers, business executives and academics, alongside desk research, this report explores AI investments, industry trends in the region, and the policy environment and challenges. The report concludes with a series of policy takeaways based on international good practice for policymakers looking to develop their AI ecosystems and capabilities.

Banking on a game-changer: AI in financial services

  • Adoption of artificial intelligence (AI) in financial services is maturing as banks implement it across a range of innovative use cases. A new survey of IT executives in banking finds that 85% have a “clear strategy” for adopting AI in the development of new products and services.
  • According to a separate global survey of senior banking executives, four in five agree that unlocking value from AI will distinguish winners from losers. 

AI comes of age: Putting customers and employees at the heart of data-driven journeys

AI comes of age: Putting customers and employees at the heart of data-driven journeys

Artificial Intelligence & Cybersecurity: Balancing Innovation, Execution and Risk

The COVID-19 pandemic has accelerated digital transformation across industries, creating newfound benefits to efficiency but also exposing new risks to organizational networks as technology adoption rises and employees increasingly work remotely. As a result, there has been a rapid uptick in the number of cyberattacks, ranging from mundane efforts to gather important business and personal information to highly sophisticated attacks on critical infrastructure.

Artificial Intelligence & Cybersecurity: Balancing Innovation, Execution and Risk

This report explores perceptions around the intersection of AI and cybersecurity. It finds that organizations are aware of the opportunities in this regard but also of the potential negative consequences of being overly reliant on AI to protect themselves. The key findings are:

Using imaging and AI to help diagnose and manage covid-19 patients

Faced with rapidly escalating case numbers soon after covid-19 emerged in the city of Wuhan at the end of 2019, China quickly sought ways to support the rapid diagnosis and evaluation of patients.

Computed tomography (CT) features were included in covid-19 diagnostic criteria and the country began using artificial intelligence (AI), to analyse CT images.

Innovating through tech in the GCC

About this research

Innovating through tech in the GCC is an Economist Intelligence Unit report, supported by the Bahrain Economic Development Board. The report examines how both local and international companies in the GCC are integrating advanced technologies to offer innovative products and services to the market. 

Overseeing AI: Governing artificial intelligence in banking

  • AI will separate the winning banks from the losers, 77% of executives in the industry agree 
  • Covid-19 may intensify the use of AI, making effective governance all the more urgent
  • A review of regulatory guidance reveals significant concerns including data bias, “black box” risk and a lack of human oversight
  • Guidance has so far been “light touch” but firmer rules may be required as the use of AI intensifies

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