June 22, 201763
ABI Research predicts the number of businesses adopting artificial intelligence (AI) technologies worldwide will grow considerably, up from 7,000 this year to nearly 900,000 in 2022, a CAGR of 162%. AI is no longer limited to science fiction and movies, with significant strides being made in cloud processing, storage capacity, and machine learning algorithms to enable computer systems to surpass humans in winning strategy games and television shows. Increasingly, businesses are applying these technological advancements to deliver automation and innovation that equal or exceed human capabilities.
“Even though nearly one million businesses will adopt AI by 2022, it will not be a great fit for every company,” says Jeff Orr, Research Director at ABI Research. “Many businesses will have to adapt their corporate governance policies to deal with the lack of a guaranteed outcome when implementing machine learning. While most enterprises start using machine learning to analyze their existing business for insights, the technologies have far-reaching application in specific industries, ranging from reduction of false positives in fraud detection to powering conversational interfaces for chatbots and virtual assistants.”
While some of the world’s largest and innovative enterprises, such as Amazon, American Express, Citrix, Coca Cola, Facebook, Google, Netflix, PayPal, and Uber, already deploy projects powered by machine learning, ABI Research finds that not all will benefit. Organizations that are comfortable with uncertainty in outcomes and measuring changes in key performance indicators (KPIs) will find the most to gain from enacting machine learning projects. On the other hand, companies that focus only on ROI timetables will find emerging technologies, including machine learning, cybersecurity, and IoT, to be frustrating to implement and difficult to measure.
Several SaaS solutions are available for machine learning and businesses looking to experiment will have many vendors to choose from. Best practices include starting off with a pilot project and requesting case studies about enterprises that have already gone through their first operational deployment. “It is the companies that choose to ignore AI entirely that will quickly find themselves at a competitive disadvantage,” concludes Orr.
Read more on the study at ABI Research.
September 18 –
International Equal Pay Day
“Increase wages now,
more than other cost items.
For widespread, practical equality!”
Invoke Article 33 of the ILO Constitution
against the military junta in Myanmar
to carry out the recommendations of the 2021 ILO Commission of Inquiry
against serious violations of protocols of
Forced Labour and Freedom of Association.
Accept the National Unity Government (NUG)
of Myanmar. Reject Military!
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October –
Monthly Observances:
Industry and Commerce Safety Month
National Statistics Month
Local Government Month
Consumer Welfare Month
Cooperative Month
National Quality and Productivity Improvement Month
National Health and Wellness Tourism Month
National Indigenous Peoples Month
Weekly Observances:
Week 1: Elderly Filipino Week
Week 2: National Health Education Week
Local Government Week
National Mental Health Week
October 17-23:
National Week for Overcoming Extreme Poverty
October 18 – 24:
United Nations Week
Last Week:
Nurses’ Week
Consumers’ Protection Week
Week of the 4th Sunday:
Barrio Farmers’ Week
Daily Observances:
First Monday (Oct 4): Universal Children’s Day i
n the Philippines
Oct 5: National Teachers’ Day
Oct 10: Local Government Day
Third Thursday (Oct 14): Conflict Resolution Day
Oct 21: Tenants’ Emancipation day
Oct 24: United Nations Day
Oct 29: National Indigenous People’s Thanksgiving Day
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