The buzz around AI is palpable, but sometimes outcomes fail to meet expectations. To help companies unleash the power of AI, DigitalBiz created two videos that show how to blend pre-trained data from Applied AI, Generative AI like ChatGPT and humans’ insights to increase efficiency. DigitalBiz Limited Initial Business Centre 207 Regent Street, London, England W1B 3HH, United Kingdom Website https://digitalbiz.ai Email adrian.mckeon@digitalbiz.ai
Exciting New Videos: Using Applied AI,
ChatGPT & Human Power to Boost Efficiency
When used correctly, AI is delivering
average productivity gains of 40% plus.
Companies ignoring AI will get left behind
and have little choice but to get involved. So
to get to the productivity stage, it is important
to understand what AI technology is and
what it is not.
Artificial intelligence is just computers
following human rules - which have to
be coded. As the AI revolution has
only just begun, most rules won’t be
coded for decades. And in the
absence of rules, computers guess!
Here’s what happens when things go
wrong. In 2017, the LA Times reported a
6.8 earthquake in Santa Barbara. But the
quake happened in 1917! The AI spotted a
US Geological Survey 1925 data revision,
and logged it as a 2017 event. The LA
Times published without checking!
AI is not yet ready for prime time. It is still deep
learning the rules and human oversight is
needed for most applications. Applied AI is
brilliant at executing data driven, repetitive or
predictive tasks quickly. Generative AI like
ChatGPT creates original content. Both need
human oversight.
The following worked example
combines Applied AI, ChatGPT
and human insight to tackle
common content planning and
content operations problems.
Problems: Ongoing demand for content
is increasing but there’s no plan. Hot
topic questions searchers want answers
to need to be identified; hot topic gaps in
existing content need plugging; new
content needs to be created and
distributed.
These tasks are data driven, repetitive and
predictive. Applied AI automates them all. It
content plans, identifies hot topics and content
gaps, and distributes. ChatGPT creates the
content but can't tell right from wrong and
lacks the emotional understanding needed to
connect with consumers.
Human editors provide the missing
link by ensuring factually accurate,
relevant hot topic content is infusted
with emotion and understanding
which genuinely connects with
people and will maximize
engagement.
In summary, the applied AI creates a plan of
hot topics to write about. Hot Topics feed
ChatGPT which then generates unique content.
Humans edit for factual correctness and to
embed emotional understanding. The Applied
AI processes the content, publishes to multiple
platforms, and consumers engage.
Adrian McKeon, DigitalBiz CEO states “ Don't
rush into the AI waters. If your task is
repetitive, data driven or predictable it's likely
that AI can do it more efficiently and
economically. Start with a trial run to see if you
encounter any snags; if all goes well, keep
building from there!”
Find Out More At
https://digitalbiz.ai
ChatGPT & Human Power to Boost Efficiency
When used correctly, AI is delivering
average productivity gains of 40% plus.
Companies ignoring AI will get left behind
and have little choice but to get involved. So
to get to the productivity stage, it is important
to understand what AI technology is and
what it is not.
Artificial intelligence is just computers
following human rules - which have to
be coded. As the AI revolution has
only just begun, most rules won’t be
coded for decades. And in the
absence of rules, computers guess!
Here’s what happens when things go
wrong. In 2017, the LA Times reported a
6.8 earthquake in Santa Barbara. But the
quake happened in 1917! The AI spotted a
US Geological Survey 1925 data revision,
and logged it as a 2017 event. The LA
Times published without checking!
AI is not yet ready for prime time. It is still deep
learning the rules and human oversight is
needed for most applications. Applied AI is
brilliant at executing data driven, repetitive or
predictive tasks quickly. Generative AI like
ChatGPT creates original content. Both need
human oversight.
The following worked example
combines Applied AI, ChatGPT
and human insight to tackle
common content planning and
content operations problems.
Problems: Ongoing demand for content
is increasing but there’s no plan. Hot
topic questions searchers want answers
to need to be identified; hot topic gaps in
existing content need plugging; new
content needs to be created and
distributed.
These tasks are data driven, repetitive and
predictive. Applied AI automates them all. It
content plans, identifies hot topics and content
gaps, and distributes. ChatGPT creates the
content but can't tell right from wrong and
lacks the emotional understanding needed to
connect with consumers.
Human editors provide the missing
link by ensuring factually accurate,
relevant hot topic content is infusted
with emotion and understanding
which genuinely connects with
people and will maximize
engagement.
In summary, the applied AI creates a plan of
hot topics to write about. Hot Topics feed
ChatGPT which then generates unique content.
Humans edit for factual correctness and to
embed emotional understanding. The Applied
AI processes the content, publishes to multiple
platforms, and consumers engage.
Adrian McKeon, DigitalBiz CEO states “ Don't
rush into the AI waters. If your task is
repetitive, data driven or predictable it's likely
that AI can do it more efficiently and
economically. Start with a trial run to see if you
encounter any snags; if all goes well, keep
building from there!”
Find Out More At
https://digitalbiz.ai