We've explored why AI innovation is critical for organizations
today.
Now, let's dive into one of the most exciting frontiers of AI.
Generative AI.
Generative AI refers to AI systems that can create brand new
content or artifacts rather than just analyze data.
The generative capabilities powered by deep learning
are revolutionary.
For example, systems like Dall-E 2 can generate remarkably
realistic images and art
basically from text prompts.
ChatGPT can hold nuanced conversations and generate essays,
code, and much more.
Programs can also generate music, video, and 3D models.
Generative AI is already reshaping creative industries
in various ways.
The generative AI landscape is vast and varied.
This landscape is characterized by its dual nature,
comprising both generative AI-based companies whose core
products or services are directly built on generative
AI technologies
and GenAI-powered companies which integrate generative AI
capabilities to enhance their existing offerings.
There are different use cases for generative AI depending on how
you're integrating them into your organization.
Horizontal use cases refer to GenAI applications that cut across
multiple industries, providing broad,
versatile solutions not confined to a single sector.
These use cases address common needs across different fields,
making them widely applicable and impactful.
Examples include content creation, personalization,
synthetic data generation, question answering,
customer support, and language translation,
to name a few.
Vertical use cases, on the other hand,
are specific to a particular industry,
tailoring generative AI's capability to meet unique sectoral demands.
These applications are deeply integrated into the fabric
of the industry, solving specialized problems or
enhancing core operations.
For example, in supply chain, GenAI optimizes logistics and
inventory management through predictive analytics and
demand forecasting, which is critical for maintaining
efficient supply chains.
So which use cases, horizontal or vertical or maybe both,
are you using or going to use in your organization?
Take a second to write it down.
It'll help you keep those in mind as you're going through the
rest of the course.
As a leader, you need to consider how generative AI could transform
your business offerings and workflows,
but you also should thoroughly evaluate if these technologies
not only have business value, but also align with your
ethical standards.
We'll talk about that more in the upcoming videos,
but for now, let me give you a quick tip.
You need three fundamental things before you can launch any
new AI framework: People, processes, and technology.
You need to have the right set of people with the required expertise
to not just build the solution, but bring together the necessary
processes and guidelines to ensure it is developed and
used responsibly.
And you need the right technology platform and infrastructure to
support rolling out AI at scale across your organization.
Getting these three elements right is a key to utilizing these
powerful technologies to their full potential
while upholding important ethical and social values.
To help, I'll provide a handout with recommendations to form a
strategic plan for you to leverage this powerful tool.
Applied wisely,
generative AI has tremendous potential to accelerate
innovation,
creativity, and productivity for your organization.
With thoughtful leadership, your team can harness this
technology to drive values while safeguarding ethics.