We often feel the need to clarify the real meaning of marketing terms floating around technology and cybersecurity. We believe in sharing knowledge and educate people instead of fooling and luring them with blinking lights. Today we go back to terms we have discussed in the past and see if we have made any progress in the way we present them to the general public: artificial intelligence (AI) and machine learning (ML).

In today's episode, nearly four years later, we invited Scott Scheferman to see what has changed since, and to do so in a more conversational style, we asked him to co-host this episode and bring a guest with him: Joyce Drohan.

The capabilities brought to bear by AI and ML have become table stakes in cybersecurity. Customers expect every vendor to have some form of AI or ML in their product or service. However, does it matter to the customer if it works; how it works?

Apart from the marketing use of these terms, the big questions are what is real now and what is not; what are the way we can benefit from AI and ML in the present time; what can be considered the next feasible advancement that we can see coming; and what fields will help the most.

In fields such as cybersecurity, medicine, banking, there are already returns on investment that are clear, quantifiable, and somehow unrefutable. We may all agreed that "It takes a Terminator to kill a Terminator." But we may as well decide on when a "Terminator" would not be appropriate. In doing so, we enter the realm of society where the technology operates in connection with humans and for humans. Let's use ethics and philosophy to think about desirable or unpleasant scenarios before it is too late.

Will we ever get to a point when humans are no longer needed?

Do we want that?

We believed that we should always be needed and most definitely be in a position where we still have a choice in the matter.

What do you think?

Listen up and let us know your thoughts.

Guest(s) Joyce Drohan

Co-Host(s) Scott Scheferman

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