Tuesday, February 04, 2020

AI and Business

An idea does not pass from one language to another without change --------(Miguel de Unamuno 1913)




Recent estimates put the productivity impact of information and communications technology (ICT) and early digital technologies such as broadband at 0.6 percent annually during the 2000s

AI is already relatively applicable to real business problems and can have significant
impact in areas including marketing and sales, supply chain management, and manufacturing

Research has found that the introduction of robots in manufacturing and the introduction of IT accounted for 0.4 percent and 0.6 percent in annual productivity increases, respectively.

The EU has called for $24 billion to be invested in AI research by 2020.

The net effect on GDP and labor markets show that AI could add around 16 percent to global output by 2030, or about $13 trillion, compared with today. This would be incremental value created in addition to current global output.

Virtually all workers will need to adapt to work alongside machines in new ways

In fact, developing economies could potentially leapfrog advanced ones if they were to strengthen core enablers. An absence of legacy, inefficiencies in various parts of the economy, and the role of smart capital in overcoming skills issues may present attractive opportunities for the commercialization of AI use.

Two key questions?

1- How can individuals develop the skills that will be needed to power the AI economy and embrace       a culture of lifelong learning
2- How can businesses embrace AI and automation safely, addressing issues including data security,
   privacy, malicious use, and potential issues of bias?

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Friday, January 31, 2020

AI and CyberCrime


A citizen, first in war, first in peace and first to the hearts of his countrymen--------(Henry Lee on death of General Washington 1800)






In the ever-changing cyberthreat landscape, organizations will have to defend against increasingly complex and interconnected risk.

As organizations continue to grow, so do the size and complexity of their technology and data estates,
meaning attackers have more surfaces to explore and exploit.

AI has the potential to accelerate the volume of attacks as automation of tasks and enhancement
of malicious services further reduce barriers of entry and execution of attacks.

The tools to accomplish attacks are increasingly available on the Dark Web at decreasing costs, including cyber weapons stolen from the NSA and CIA. 

For example; 
The Ukraine power grid attack used spear phishing, industrial control, and disk wiping techniques that were all readily available on the black market, many of them previously stolen from NSA.

Checks and balances do not work as well for cyberwarfare where plausible deniability or even misdirecting the blame to someone else is common.

AI is not a single technology but a family of technologies. There are five broad
categories of AI technologies: computer vision, natural language, virtual assistants, robotic process
automation, and advanced machine learning. 

Hackers will likely use these tools to varying degrees

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