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

Ox, Bees or Elephant? Three scenarios examining the socio-economic impacts of artificial intelligence on Thailand

To support Thai policymakers in navigating this transition, the Institute of Public Policy and Development commissioned The Economist Intelligence Unit to conduct a foresight exercise that investigates how AI could affect key social and economic metrics in Thailand across three scenarios. In each of these scenarios, we have assumed that AI technology will substantially increase the use of computers and raise productivity. We focused our analysis on two critical and uncertain factors: the effectiveness of industrial policy and the extent of skills development in an AI-augmented economy.

AI and advanced analytics in AML: From rule-based controls to intelligence-led capabilities

<h2>Supporting AML with machine learning</h2>

<p>AI is a broad term covering multiple fields. For AML professionals, perhaps the most relevant subfield of AI is machine learning, which refers to the use of algorithms to continually improve a task, without the need for human intervention. Machine learning algorithms search for patterns within a given data set. Repeated recognition of patterns allows an algorithm to make ever more swift and accurate predictions.</p>

When IoT meets AI

The business value of IoT data increases with the insights that can be extracted from it. Artificial intelligence (AI) is helping many businesses extract insight from IoT data; indeed, 26% of executives survey for the Economist Intelligence Unit’s IoT Business Index 2020 say IoT data are ‘pivotal’ to their AI initiatives. 

Green intelligence: Asia’s ESG investing, data integrity and technology

Don’t be evil?

Artificial intelligence (AI) has, of late, been the subject of so many announcements, proclamations, predictions and premonitions that it could occupy its own 24-hour cable news channel. In technology circles, it has become a kind of holy grail, akin to fire, the wheel or the steam engine in terms of world-changing potential. Whether these forecasts come to pass is still an open question. What is less in doubt are the vast ethical ramifications of AI development and use, and the need to address them before AI becomes a part of everyday life.

Great Expectations: Fulfilling the promise of emerging technologies

Great Expectations: Fulfilling the promise of emerging technologies

Recent years have brought glimpses of the vast potential of digitization. IoT platforms that link sensors with predictive analytics software turn airplanes, irrigation systems and manufacturing equipment into prolific data fountains that enable companies to forecast demand more accurately, keep production lines humming, create new revenue streams and meet the ever-changing preferences of consumers. Download our report to learn more. 

Emotion and Cognition in the Age of AI

Learn more about Emotion and Cognition in the Age of AI by watching our view above.

Enjoy in-depth insights and expert analysis - subscribe to our Perspectives newsletter, delivered every week