EZINE:
In this issue of CW Middle East, read how the UAE and the Abu Dhabi National Oil Company have recognised that things will change as oil and gas resources dwindle. Digital technology, such as artificial intelligence, has been identified as a key driver for future industries.
EZINE:
Countries in the Middle East see technology as an industry of the future and are investing heavily in the sector as part of their economic diversification plans. Read in this issue how the latest development will see a $60m venture capital fund, based in Bahrain, invest in 120 early-stage startups across the Middle East region.
EZINE:
An app aimed at helping dementia patients and their families has been developed by the Alzheimer Society in the Netherlands and has been welcomed with enthusiasm.
EZINE:
As Estonia finalises the initial version of its government services digital assistant for launch, the man heading the project describes the birth of Bürokratt and beyond. Also read about Helsinki's role in a pan-EU project to introduce drone technology into emergency medical services.
EZINE:
In this week's Computer Weekly, as millions of people work from home, we examine the measures in place to make sure the internet stays up and running. Our latest buyer's guide looks at the best practice in application modernisation. And we find out how IT leaders are tackling the skills shortage to recruit the best tech talent. Read the issue now.
EZINE:
Dutch banks have decided to work together in the fight against money laundering. Globally, only about 3% of money laundering activity is detected and stopped.
EZINE:
Norway is becoming a centre of IoT innovation as tech developers tackle some of the country's unique challenges, in areas such as fish farming, power distribution and monitoring of boats.
EZINE:
Read about Luxembourg's aim to play a larger role in the rapidly growing global financial technology market. Also find out how a Siri-like digital assistant will automate the completion of government service requests in Estonia.
WEBCAST:
AI is reshaping field service, cutting manual work, and enhancing technician focus on key tasks. But success depends on a cautious, iterative method, quality data, and apt tech and talent. Read the full paper to learn how AI is reinventing field service and to view a checklist for generative AI field service use cases.
