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The AI Eye: IBM (NYSE: $IBM) Partners with Ghana Tech Lab and GIZ for Africa AI Accelerator Program and Aruba (NYSE: $HPE) Unveils AI-Powered Return to Work Suite


Point Roberts, WA and Vancouver, BC - June 1, 2020 ( Newswire) (, a global investor news source covering Artificial Intelligence (AI) brings you today's edition of The AI Eye - watching stock news, deal tracker and advancements in artificial intelligence.

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The AI Eye: IBM (NYSE: $IBM) Partners with Ghana Tech Lab and GIZ for Africa AI Accelerator Program and Aruba (NYSE: $HPE) Unveils AI-Powered Return to Work Suite


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Today's Column - The AI Eye - Watching stock news, deal tracker and advancements in artificial intelligence

Stocks discussed: (NYSE:IBM) (NYSE:HPE)

IBM (NYSE:IBM) has partnered with Ghana Tech Lab and Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) to launch the Africa AI Accelerator Program 2020 to support the scaling of the next generation of Africa's AI start-ups. The program will last six months, and "will be anchored on tailored support and one-on-one coaching aimed at strengthening the business and technical capacity of participating entrepreneurs." An excerpt from the press release reads:

Artificial intelligence offers new opportunities in developing and emerging countries to overcome obstacles and achieve the [sustainable development goals] SDGs. For example, AI can help agriculture automatically detect plant diseases or provide local digital companies with new tools. Yet, local AI innovation to solve local problems currently lacks the needed support. Developing and emerging countries are therefore at risk of lagging behind in the use and development of AI or becoming dependent on leading AI nations.

Aruba, a Hewlett Packard Enterprise (NYSE:HPE) company, has unveiled a suite of AI-powered return to work solutions. The suite allows businesses to implement contact tracing and touchless solutions for social and physical distancing monitoring solutions. Partha Narasimhan, CTO and HPE Senior Fellow for Aruba, said:

"The new fluid workplace requires contextual awareness, adaptability and scalability on a global scale - all without security gaps. Throughout the pandemic, Aruba's AI-powered infrastructure has adapted to optimize customers' reimagined work environments at half a million customer sites worldwide, with massive teleworkforces dispatched to work from home, and for essential mobile workforces."

Global AI Market to Grow by $376 Billion 2020-2025

Research published on ReportLinker finds that the global market for AI will grow by $376 billion from 2020 to 2025 with a compound annual growth rate (CAGR) of 49.3 percent in the forecast period. An excerpt from the report summary looks at the post-COVID landscape of the market around the globe:

As part of the new emerging geographic scenario, the United States is forecast to readjust to a 38.1% CAGR. Within Europe, the region worst hit by the pandemic, Germany will add over US$14.3 Billion to the region's size over the next 7 to 8 years. In addition, over US$14 Billion worth of projected demand in the region will come from Rest of European markets. In Japan, the Deep Learning segment will reach a market size of US$3.4 Billion by the close of the analysis period. Blamed for the pandemic, significant political and economic challenges confront China. Amid the growing push for decoupling and economic distancing, the changing relationship between China and the rest of the world will influence competition and opportunities in the Artificial Intelligence (AI) market. Against this backdrop and the changing geopolitical, business and consumer sentiments, the world's second largest economy will grow at 50.3% over the next couple of years and add approximately US$43.2 Billion in terms of addressable market opportunity. Continuous monitoring for emerging signs of a possible new world order post-COVID-19 crisis is a must for aspiring businesses and their astute leaders seeking to find success in the now changing Artificial Intelligence (AI) market landscape. All research viewpoints presented are based on validated engagements from influencers in the market, whose opinions supersede all other research methodologies.

Sam Mowers,

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