IBM rolls out ‘Watson’ in Africa

Ginni Rometty IBM

IBM began rolling out its Watson supercomputer system across Africa on Feb. 5, saying it would help make agriculture smarter and address continental development obstacles as diverse as medical diagnoses, economic data collection and e-commerce research.

The world’s biggest technology service provider said “Project Lucy” would take 10 years and cost $100 million. The undertaking was named after the earliest-known human ancestor fossil, which was found in east Africa,

“I believe it will spur a whole era of innovation for entrepreneurs here,” IBM chief executive Ginni Rometty told delegates at a conference.

As an example, Rometty cited how Morocco had used sophisticated data mining for “smart agriculture” to improve how crops are grown by predicting weather, demand and disease outbreaks.

The Watson system, named after former IBM president Thomas Watson uses artificial intelligence that can quickly analyze huge amounts of data and understand human language well enough to hold sophisticated conversations. It beat humans on the TV quiz show “Jeopardy” in 2011.

International Business Machines Corp. has so far failed to convert that genius into substantial revenue growth, with the system contributing just $100 million over the past three years as overall revenues declined.

The technology would enable poorer parts of Africa to “leapfrog” stages of development they have failed to reach because they were too expensive, in much the same way mobile phones took off across the continent in places where there had been virtually no landlines, said Michel Bézy, a Rwanda-based technology professor who helped develop the Watson system.

It could help with education in schools that have few computer resources by using smartphone apps that get access to Watson’s analytical tools through cloud computing, IBM’s chief Africa research scientist Uyi Stewart told Reuters in Lagos.

Roads in countries like Nigeria are often so poorly maintained, traffic clogged or flooded that it is impossible to predict how long a journey will take. Stewart said the system would help logistics companies by telling them where potholes are, which junctions are choke points and whether it is raining.

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