November 12, 2024 • 25 mins
In this electrifying episode of AI Uncorked, we delve deep into the future of intelligent systems with “Beyond Automation: The Rise of Autonomous AI Agents.” Discover how agent orchestration—the strategic coordination of multiple AI entities—is becoming the new frontier in AI integration, reshaping industries from media to retail. Learn how leading players like Google, Microsoft, OpenAI, and Anthropic are crafting agents capable of revolutionary applications, from efficient customer service to complex risk assessment.
Join us as we unpack real-world successes like Lumen Technologies’ impressive $50 million annual savings and how AI-driven decision-making is empowering businesses to scale like never before. Whether you’re an entrepreneur, tech enthusiast, or simply curious about how autonomous AI could transform your future, this episode equips you with the knowledge to stay ahead.
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
(00:00):
Ready to explore something pretty mind-blowing.
(00:02):
I'm all ears.
We're going to deep dive into AI agents.
Oh, yeah.
I've been hearing a lot about those lately.
Yeah, you and everyone else.
It seems like they're popping up everywhere.
Exactly.
And we've been digging through tons of research and case
studies, and it's clear that something big is happening.
Bigger than just those little chat bots everyone's using.
Way bigger.
(00:22):
Yeah.
This is about AI systems that can
tackle really complex tasks.
Like, what kinds of tasks are we talking about?
Think coordinating across different platforms,
managing workflows, even controlling your computer
like a human would.
Well, hold on.
Controlling computers, like actually using
a mouse and keyboard.
You got it.
But we're getting ahead of ourselves.
Right.
Let's start with the basics.
(00:43):
What exactly are AI agents, and why are they such a big deal?
Great question.
I think the best way to understand it
is to think about how businesses are using AI right now.
You mean all those single purpose bots we see everywhere?
Yeah, exactly.
A chat bot for customer service, another one
for marketing automation, maybe one for scheduling meetings.
It can get pretty messy, and that's the problem.
(01:06):
It's a jumbled mess of different AI systems
each doing its own thing.
So AI agents are about bringing all those systems together.
Precisely.
It's about creating a unified system
where all those different AI agents can
work together like a team.
Kind of like an orchestra with each instrument playing
its part.
Exactly.
That's a great analogy.
And this AI agent orchestration, as some people are calling it,
(01:28):
is already making waves.
So it's not just some theory.
It's actually happening in the real world.
Absolutely.
We've got some fascinating case studies here.
Take A. Sultana, for example.
A. Sultana, that brings a bell.
They started as this niche app helping
folks pick the perfect bottle of wine using AI.
Right.
I remember that.
But now they've evolved into a full blown AI agency
(01:51):
using these orchestrated agents to help businesses
across all sorts of industries.
Wow, from wine pairings to business overhauls,
that's quite a leap.
And it's not just A. Sultana companies like Lumen Technologies
are seeing huge savings thanks to AI agent implementation.
How huge are we talking?
They're predicting annual savings of around $50 million.
$50 million.
(02:11):
OK, that's serious money.
And it's not just about cost savings.
Companies like Honeywell are seeing major productivity gains.
Like how much more productive are we talking?
It's like they've added 187 new employees.
Wow.
OK.
I'm starting to see why everyone's so excited about AI agents.
And it's not just hype.
There's a real reason why these agents are so effective.
(02:31):
So spill the beans.
What's the secret sauce?
Well, one key factor is the control they bring.
Control.
Yeah, instead of this scattered AI landscape,
businesses now have a unified platform to manage everything.
So it's like having a central command center for all your AI.
Exactly.
You can deploy agents, shift resources on the fly,
keep an eye on the whole operation.
(02:52):
That sounds pretty efficient.
It is.
And that's where AI agents really shine.
They can handle those complex workflows
that would tie humans up in knots, optimizing resources
in real time, and even adapting to unexpected changes.
So they're like proactive problem solvers,
stopping issues before they even become a headache.
You got it.
(03:13):
OK, I'm getting the picture.
But let's get down to brass tacks.
What kinds of tasks can these AI agents actually handle?
Are we talking about replacing humans entirely?
Well, not quite yet.
But let's just say they're becoming quite versatile.
So what are some examples?
One area they excel in is customer service.
Customer service?
You mean like those chat bots that pop up
(03:33):
when you visit a website?
Well, yes.
But it goes way beyond that.
How so?
Think about those frustrating calls
where you're stuck on hold forever.
Yeah, I hate those.
AI agents can handle a wide range of customer queries,
from basic info requests to troubleshooting, all instantly
and around the clock.
So no more elevator music purgatory
while waiting for a human to pick up.
(03:54):
Exactly.
And it's not just about speed of work.
AI agents can actually use data to personalize
each interaction, making the whole experience smoother
and more satisfying for the customer.
That sounds like a win-win for both businesses and customers.
Absolutely.
And it goes way beyond just customer service.
Oh, really?
They're already making waves in sales, marketing, and even
finance.
AI and finance.
(04:15):
That sounds a bit scary.
Not at all.
Think about those tedious tasks, like processing invoices,
managing expenses, and even assessing risk.
Those tasks sound pretty soul-crushing.
AI agents can automate all of that,
freeing up human employees to focus on the big picture stuff,
the strategic thinking that requires a human touch.
(04:36):
So it's not about replacing humans,
but rather augmenting their abilities.
Exactly.
It's about creating a more efficient and productive
workforce where humans and AI work together in harmony.
That sounds like a much more optimistic vision of the future.
It is.
And it's already happening.
You mean companies are actually seeing these positive results?
Absolutely.
McKinsey & Company, a global consulting firm,
(04:57):
reported a 90% reduction in lead time
and a 30% decrease in administrative work.
Whoa, that's huge.
All thanks to AI agent implementation.
I'm starting to see the appeal.
But I have to ask, what about the potential downsides?
Every new technology comes with risks,
and AI is no exception.
You're absolutely right.
We need to be mindful of the potential risks
(05:17):
as AI agents become more sophisticated and integrated
into our lives.
So what are some of the concerns we need to be thinking about?
One of the biggest concerns is the potential
for job displacement.
As AI agents become more capable,
they could automate tasks currently done by humans,
potentially leading to job losses in certain sectors.
That's a valid concern.
(05:38):
How do we prepare for a future where
AI plays an even larger role in the workforce?
That's a question a lot of people are grappling with.
It's about finding the right balance.
We need to think about how we can reskill and upscale workers,
helping them adapt and thrive in a world where AI is
increasingly prevalent.
It's not about humans versus machines,
but about finding ways for them to work together effectively.
(06:00):
Exactly.
And there are already companies working
on platforms that make building, deploying, and managing AI
agents easier, even for those without a tech background.
So the barriers to entry are lowering making
this technology more accessible.
Absolutely.
And that's a good thing, because the more people who understand
and can work with AI, the better equipped
will be to harness its power for good.
(06:21):
That's an important point.
We need to ensure that AI is used ethically
and responsibly, and that everyone benefits
from its advancements.
Couldn't agree more.
And speaking of advancements, there's this company, OpenAI,
that's developed a model called O1 that's causing quite a stir
in the AI community.
O1.
What's so special about it?
(06:42):
The O1 model is intriguing because of its advanced
reasoning capabilities.
Reasoning capabilities.
You mean it can actually think things through?
Essentially, yes.
It can break down complex problems into smaller steps
and solve them systematically through a technique called
chain of thought reasoning.
That sounds like a major leap forward.
So how does this translate to the real world?
Can you give us a concrete example?
(07:03):
Picture this.
You're a lawyer wrestling with a dense contract.
OK, I'm picturing it.
The O1 model can analyze that contract,
pinpoint potential risks, and even suggest revisions.
All by itself.
All while explaining its reasoning in a way
humans can understand.
That's incredible.
It's like having an AI legal eagle on your team.
Exactly.
And it's not just limited to law.
(07:24):
Any field that requires complex problem solving and analysis
could potentially benefit from O1's capabilities.
It's like having a super powered brain working
alongside humans tackling challenges in a way
we've never seen before.
It's truly mind blowing.
But before we get too carried away,
it's important to acknowledge that any new technology comes
with risks, and AI agents are no exception.
(07:46):
Right.
We talked about job displacement.
But are there other concerns we need to be aware of?
Well, one concern is the potential for bias AI systems
are trained on data.
And if that data is biased, the AI system
can inherit those biases.
So it's like garbage in garbage out.
Exactly.
That's why it's crucial to ensure that the data used
to train AI systems is diverse and representative
of the real world.
(08:06):
And that the AI systems are designed and used
in a way that mitigates potential biases.
Absolutely.
It's a complex issue, but it's one
that we need to address head on if we
want to ensure that AI is used ethically and responsibly.
Well said.
It's clear that AI agents have the potential
to be incredibly powerful tools, but it's up to us
to use them wisely and ethically.
(08:28):
Couldn't agree more.
So where do we go from here?
What's next for AI agents?
Well, one area that's really heating up
is the development of AI agents that can actually
control computers, just like a human would.
Wait, are we talking about AI that can surf the web open apps
and even do work within those apps?
You got it.
That's exactly what companies like Antropic are working on.
That sounds like something straight out of a sci-fi movie.
(08:50):
It is pretty wild, isn't it?
Yeah.
Imagine an AI agent that can see and interact
with the digital world just like we do.
OK, I need to hear more about this.
How does it even work?
Is it like some kind of digital puppet master pulling
the strings behind the scenes?
Well, instead of relying on traditional back-end integration,
Antropix agent utilizes an action execution layer.
(09:12):
An action execution layer?
What's that?
It basically allows the AI agent to interpret
what it sees on the screen and control the mouse and keyboard
just like a human user would.
So it's like giving an AI a set of digital eyes and hands.
Exactly.
And it's not just some futuristic concept.
It's already being used to automate
a wide range of tasks.
Like what kinds of tasks?
(09:33):
Think about things like booking a flight,
researching information online, or even filling out forms.
So I could just tell the AI agent what I want it to do,
and it would handle all the tedious clicking
and scrolling for me.
Exactly.
It's like having a personal assistant that
lives inside your computer.
That sounds incredibly convenient.
But I have to ask, how do we know these AI agents are safe?
(09:55):
What's to prevent them from going rogue
and doing something malicious?
That's a crucial question.
And Anthropic has taken safety very seriously.
So it's not just a matter of unleashing this AI agent
onto the internet and hoping for the best.
Definitely not.
They're using advanced safety protocols
to prevent the AI from taking harmful actions.
And they've also incorporated features
(10:15):
that allow humans to monitor and control its behavior.
So it's a balance between innovation and responsibility.
Exactly.
It's about pushing the boundaries of what's possible
while ensuring that these powerful tools are
used ethically and safely.
That's good to hear.
It's reassuring to know that companies like Anthropic
are prioritizing safety as they develop
these powerful AI agents.
(10:36):
It's essential to be mindful of the potential risks
as we explore the uncharted territory of AI.
Right.
But it's also important to recognize the incredible potential
that this technology holds.
Absolutely.
And speaking of potential, there's
this company HubSpot that's embracing
the power of AI agents in a truly innovative way.
HubSpot, the marketing automation company.
(10:57):
That's the one at INB and Bound 2024,
their co-founder Dharmesh Shah unveiled something
called Agent AI.
And it sounds like it could be a game changer.
Agent AI.
What's that all about?
Imagine a professional network designed specifically
for AI agents.
It's like LinkedIn, but for the bots.
Wait, so businesses can connect with and even
(11:19):
hire AI agents to help them with various tasks.
Exactly.
It's like having access to a global talent
pool of AI specialists.
So instead of having to build your own AI agents from scratch,
you can simply tap into this network
and find the right agent for the job.
You got it.
It's like having a whole marketplace of AI talent
at your fingertips.
That's incredible.
It sounds like HubSpot is really pushing
the boundaries of what's possible with AI agents.
(11:41):
They are.
And it's not just beneficial for businesses.
How so?
It also creates opportunities for individuals and small teams
to develop and market their own AI agents, potentially
sparking a whole new industry.
This is all incredibly exciting.
And it seems like we're just scratching the surface of what
AI agents can do.
This deep dive has already taken us
on quite a journey from wine recommendations to robot control
(12:05):
and even a LinkedIn for bots.
It's a truly transformative technology.
And we're only just beginning to glimpse its full potential.
But before we get too far ahead of ourselves,
let's take a step back and consider the bigger picture.
What are you thinking?
What are some of the broader societal implications
of this AI agent revolution?
It seems like we're on the cusp of some pretty fundamental
(12:25):
changes.
You're right.
This is a transformative technology
that will have far-reaching implications for our society,
our economy, and even our culture.
It's a new era.
And it's both exciting and a little bit daunting.
It's like we're standing at a crossroads.
And we need to choose the path that leads to a better future.
Exactly.
And that choice requires careful consideration.
(12:47):
AI agents have the potential to solve
some of the world's most pressing problems
from climate change to disease.
They can help us create a more efficient, equitable,
and sustainable world.
But they also raise important questions
about ethics responsibility and the future of work.
It's a complex landscape full of both promise and peril.
It is.
And navigating this landscape will
(13:07):
require open and honest dialogue collaboration
between different stakeholders and a willingness
to adapt and evolve as the technology continues
to develop.
It's a journey that we're all on together.
And it's one that will shape the future of humanity
in profound ways.
But before we get too lost in the big picture,
let's bring it back to the individual level.
I like that idea.
(13:28):
Sometimes it's helpful to step away from the grand narratives
and think about how these technologies will
impact our everyday lives.
So let's do that.
Let's talk about how AI agents are already
starting to change the way we live, work, and interact
with the world around us.
And let's explore some of the potential benefits
and challenges that lie ahead.
Sounds like a plan.
Yeah, it really makes you think, doesn't it?
(13:48):
How these AI agents are blurring
the lines between the digital world and our physical reality.
Absolutely.
I mean, giving AI the ability to interact with computers
like a human.
It's like opening up the whole new dimension for them.
Right.
It's exciting, but also a little bit scary.
What if something goes wrong?
That's a valid concern, especially
when we start thinking about AI agents controlling
(14:10):
physical systems in the real world.
Exactly.
Like, what if an AI agent is controlling
a robot in a factory and makes a mistake?
The consequences could be pretty serious.
But it's not just about making sure the AI is smart,
but also about making sure it's safe and reliable.
Absolutely.
We need to proceed with caution and build in safeguards
to prevent those kinds of scenarios.
(14:31):
Speaking of safeguards and responsible development,
let's talk about those specialized AI agent networks.
Like the one HubSpot announced, Agent.AI.
Yeah, that one.
The whole concept of a LinkedIn for bots is pretty wild.
It is.
It's like we're witnessing the birth of a whole new AI economy.
Right.
Businesses can now tap into this global network of AI
(14:53):
specialists, each with their own unique skills and expertise.
It's like having an on-demand workforce of AI agents
ready to tackle any task you throw at them.
So instead of building your own AI agent from scratch,
you can essentially just go shopping for the right one.
Exactly.
You can browse profiles, see what skills and expertise
each agent offers, and then connect with the ones
(15:14):
that best fit your needs.
It's like an app store, but for AI.
And it's not just about finding the right agent for the job.
These networks also allow AI agents
to connect and collaborate with each other,
potentially leading to even more innovative solutions.
It's like they're forming their own little society,
learning from each other, and evolving over time.
But we need to make sure that this AI society is
(15:35):
built on a foundation of fairness and transparency.
Right.
How do we prevent bias from creeping into the system
and ensure that these agents are acting ethically
and responsibly?
That's the million dollar question.
And it's one that the industry is actively working on.
It's a challenge, but it's one that we
need to address head on if we want AI to truly benefit
(15:56):
society.
Agreed.
Now let's shift gears for a bit and talk
about the technical side of things.
OK, I'm ready for a little AI 101.
What are some of the key technologies
that are making these increasingly sophisticated AI
agents possible?
Yeah.
I mean, these things are doing some pretty incredible stuff.
How are they able to understand our instructions,
navigate complex systems, and even
(16:17):
generate creative content?
One of the biggest breakthroughs has
been in the field of natural language processing, or NLP.
NLP.
That rings a bell.
It's the technology that allows AI agents
to understand and interact with human language,
both written and spoken.
So that's how they're able to understand our commands
and respond in a way that makes sense to us.
Exactly.
And NLP is becoming increasingly sophisticated thanks
(16:40):
to advances in machine learning and deep learning.
So these AI agents are actually learning
how to communicate like humans.
They're getting pretty good at it.
They can now understand not just the literal meaning of words,
but also the context and intent behind them.
That's impressive.
But language is just one piece of the puzzle, right?
What about visual information?
(17:01):
How are AI agents able to see and interpret
the world around them?
That's where computer vision comes in.
This technology gives AI agents the ability
to see and understand visual information, much
like our own eyes do.
So they can actually see the world?
In a digital sense, yes.
It's being used to develop AI agents that can drive cars,
operate robots, and even assist surgeons in the operating room.
(17:24):
Wow, that's amazing.
It sounds like computer vision is opening up
a whole new world of possibilities for AI agents.
It is.
But let's bring it back down to Earth for a moment
and talk about the business world.
OK, good idea.
Yeah.
Let's get practical.
Yeah.
What are some of the key challenges
that businesses face when trying to implement AI agents?
One of the biggest challenges is integrating AI agents
with existing systems and processes.
(17:46):
Right, because not every business
is starting from scratch.
Many businesses have legacy systems
that weren't designed to work with AI.
So making them compatible can be a complex and time-consuming
process.
So it's not as simple as just plugging in an AI agent
and letting it run the show.
Definitely not.
It requires careful planning and collaboration
between different teams within the business.
And probably a lot of patience.
(18:07):
And what about the skills and expertise
needed to develop and deploy these agents?
I imagine that requires a pretty specialized skill set.
Right.
Not everyone can build an AI agent.
Developing and deploying AI agents
requires a deep understanding of AI technologies, data science,
and software engineering.
So finding the right talent is crucial.
And it's not just about technical skills.
(18:30):
It's also about understanding how to effectively manage
and collaborate with AI agents, which
is a whole new way of working for many businesses.
It's like a shift in mindset almost.
Exactly.
But the potential rewards are significant.
AI agents can help businesses improve efficiency, reduce
costs, and even create entirely new products and services.
So it's worth the effort.
(18:50):
Absolutely.
And it's exciting to see how businesses
are embracing this technology and finding creative ways
to use it to their advantage.
Let's talk about a specific example, a case study that
highlights the transformative power of AI agents.
Like the partnership between Google and Honeywell
in the field of industrial automation.
That's the one.
It's a fascinating example of how AI agents are being
(19:13):
used to optimize complex industrial processes.
It's a glimpse into the future of manufacturing.
So instead of humans controlling the machines,
we now have AI agents calling the shots.
In a sense, yes.
Google's AI agents are being integrated with Honeywell's
industrial control systems, giving them the ability
to monitor and adjust processes in real time.
(19:35):
Based on data, I imagine.
Vast amounts of data.
It's like having a team of super efficient supervisors
overseeing the entire operation.
OK, so how does this actually work in a real world setting?
Imagine a bustling manufacturing plant
with multiple machines operating simultaneously,
each with its own set of parameters and variables.
OK, I'm picturing it.
Traditionally, human operators would monitor these machines
(19:57):
and make adjustments as needed.
A pretty demanding job, I imagine.
It is.
But with Google's AI agents, the system
can now monitor all the machines,
simultaneously analyze data from sensors and cameras,
and make adjustments in real time to optimize performance.
It's like having an AI-powered control room,
keeping everything running smoothly and efficiently.
(20:17):
And they can do this with a level of precision and speed
that humans simply can't match.
So it's a win for efficiency.
And productivity.
They can also predict potential problems
before they occur, preventing costly downtime and delays.
That's incredible.
But what happens to the human workers in this scenario?
Are they out of a job?
It's a valid concern.
(20:37):
And it's one that we need to address thoughtfully.
So it's not about replacing humans entirely,
but rather about finding ways for humans and AI
to work together effectively.
Exactly.
AI agents are great at tasks that require precision speed
and data analysis.
But humans are still better at things like creativity,
problem solving, and empathy.
Right, by combining these strengths,
we can create a more efficient and productive workforce.
(21:00):
It's a powerful vision for the future of work.
One where humans and AI collaborate
to achieve goals that neither could achieve alone.
But let's zoom out for a moment and think
about the bigger picture.
The societal implications of all this.
Exactly.
This is a transformative technology
that will have far-reaching implications for our society,
(21:20):
our economy, and even our culture.
It's like we're on the verge of a new era.
And with every new era comes both opportunities
and challenges.
So it's up to us to make sure that this AI revolution leads
to a better future for everyone.
We need to be mindful of the potential risks,
but also embrace the incredible potential
that this technology holds.
It's a balancing act for sure.
(21:42):
But let's shift our focus for a moment
and bring it back to the individual level.
OK, let's get personal.
How are AI agents already starting
to change the way we live, work, and interact
with the world around us?
Yeah, it's amazing how quickly this technology is evolving
and becoming part of our everyday lives.
It's like we're living in the future, but it's already here.
But let's talk about the tools and platforms that
are making all of this possible.
(22:03):
Because these AI agents aren't just magically appearing,
right?
Exactly.
There's some serious tech behind them.
So what are the go-to tools for creating these amazing AI
agents?
One of the big players is Google's Vertex AI.
Vertex AI.
Yeah, it's a comprehensive suite of tools
that covers the entire AI development lifecycle
(22:24):
from building and training models to deploying and monitoring
them.
Sounds pretty powerful.
It is.
And Microsoft also has a platform called Azure AI,
which offers a similar range of tools and services.
So if a company is already using a lot of Microsoft products,
Azure AI might be a good fit.
Exactly.
And let's not forget about the open source community.
Right.
(22:44):
Open source is always pushing the boundaries.
There are tons of open source libraries, frameworks,
and tools that are empowering developers of all levels
to build an experiment with AI agents.
That's awesome.
It makes AI development more accessible to everyone.
Absolutely.
And speaking of exciting developments,
let's talk about generative AI agents.
Generative AI agents.
Those are the ones that can create new content, right?
(23:05):
You got it.
Things like text images, music, even code.
It's like having an AI creative partner.
Exactly.
You can give them a prompt, and they'll
generate something totally original based on your input.
But how do we make sure they're used responsibly?
What's to prevent them from being
used to create harmful or misleading content?
That's a crucial question.
(23:25):
And researchers and developers are
working hard to develop safeguards and ethical
guidelines for generative AI.
Because with great power comes great responsibility.
Absolutely.
It's up to us to ensure that these powerful tools are
used for good.
So let's shift gears and talk about some
of the positive ways AI agents are already making
a difference in the world.
OK.
I like where this is going.
(23:46):
What are some of the most inspiring use
cases you've come across?
One area where AI agents are really shining
is in health care.
Health care.
How so?
They're being used to assist doctors
with diagnosis, personalized treatment plans, and even
monitor patients remotely.
Wow.
So they're actually improving patient care.
And potentially saving lives.
That's incredible.
And it's not just about supporting doctors.
(24:09):
AI agents are also being used to develop
new drugs and therapies, accelerating medical research
and innovation.
It's amazing to think that AI could help us cure diseases.
It's a really exciting time to be working in this field.
And the impact of AI agents goes beyond health care.
Oh, yeah.
Like what?
They're being used to tackle environmental challenges,
like monitoring deforestation and optimizing energy
(24:31):
consumption.
But they're helping us protect the planet, too.
Exactly.
But amidst all this excitement, it's
crucial to remember the human element.
Right.
Technology should serve humanity, not the other way
around.
As AI agents become more integrated into our lives,
we need to make sure they're developed and used
in a way that benefits everyone.
We need to be mindful of the potential biases
(24:51):
and unintended consequences.
And work together to create a future
where AI is a force for good.
Absolutely.
So as we wrap up this deep dive, I'm
feeling a mix of optimism and caution.
Optimism for the incredible potential of AI
and caution for the responsibility
that comes with it.
We're living in a truly transformative time.
And it's up to all of us to shape the future of AI
(25:14):
in a way that benefits humanity.
We need to have open and honest conversations
about the ethical implications of AI
and work together to ensure that it's used for good.
Well said.
It's been an amazing journey exploring the world of AI agents
with you.
Likewise, it's been a fascinating discussion.
And to our listeners out there, we
hope this deep dive has sparked your curiosity
and given you a glimpse into the incredible possibilities of AI.
(25:37):
It's a rapidly evolving field.
And we're only just beginning to scratch the surface
of what's possible.
So stay curious, keep learning, and let's build a future
where AI empowers us all.
To a brighter future.
Ready to explore something pretty mind-blowing.
(00:02):
I'm all ears.
We're going to deep dive into AI agents.
Oh, yeah.
I've been hearing a lot about those lately.
Yeah, you and everyone else.
It seems like they're popping up everywhere.
Exactly.
And we've been digging through tons of research and case
studies, and it's clear that something big is happening.
Bigger than just those little chat bots everyone's using.
Way bigger.
(00:22):
Yeah.
This is about AI systems that can
tackle really complex tasks.
Like, what kinds of tasks are we talking about?
Think coordinating across different platforms,
managing workflows, even controlling your computer
like a human would.
Well, hold on.
Controlling computers, like actually using
a mouse and keyboard.
You got it.
But we're getting ahead of ourselves.
Right.
Let's start with the basics.
(00:43):
What exactly are AI agents, and why are they such a big deal?
Great question.
I think the best way to understand it
is to think about how businesses are using AI right now.
You mean all those single purpose bots we see everywhere?
Yeah, exactly.
A chat bot for customer service, another one
for marketing automation, maybe one for scheduling meetings.
It can get pretty messy, and that's the problem.
(01:06):
It's a jumbled mess of different AI systems
each doing its own thing.
So AI agents are about bringing all those systems together.
Precisely.
It's about creating a unified system
where all those different AI agents can
work together like a team.
Kind of like an orchestra with each instrument playing
its part.
Exactly.
That's a great analogy.
And this AI agent orchestration, as some people are calling it,
(01:28):
is already making waves.
So it's not just some theory.
It's actually happening in the real world.
Absolutely.
We've got some fascinating case studies here.
Take A. Sultana, for example.
A. Sultana, that brings a bell.
They started as this niche app helping
folks pick the perfect bottle of wine using AI.
Right.
I remember that.
But now they've evolved into a full blown AI agency
(01:51):
using these orchestrated agents to help businesses
across all sorts of industries.
Wow, from wine pairings to business overhauls,
that's quite a leap.
And it's not just A. Sultana companies like Lumen Technologies
are seeing huge savings thanks to AI agent implementation.
How huge are we talking?
They're predicting annual savings of around $50 million.
$50 million.
(02:11):
OK, that's serious money.
And it's not just about cost savings.
Companies like Honeywell are seeing major productivity gains.
Like how much more productive are we talking?
It's like they've added 187 new employees.
Wow.
OK.
I'm starting to see why everyone's so excited about AI agents.
And it's not just hype.
There's a real reason why these agents are so effective.
(02:31):
So spill the beans.
What's the secret sauce?
Well, one key factor is the control they bring.
Control.
Yeah, instead of this scattered AI landscape,
businesses now have a unified platform to manage everything.
So it's like having a central command center for all your AI.
Exactly.
You can deploy agents, shift resources on the fly,
keep an eye on the whole operation.
(02:52):
That sounds pretty efficient.
It is.
And that's where AI agents really shine.
They can handle those complex workflows
that would tie humans up in knots, optimizing resources
in real time, and even adapting to unexpected changes.
So they're like proactive problem solvers,
stopping issues before they even become a headache.
You got it.
(03:13):
OK, I'm getting the picture.
But let's get down to brass tacks.
What kinds of tasks can these AI agents actually handle?
Are we talking about replacing humans entirely?
Well, not quite yet.
But let's just say they're becoming quite versatile.
So what are some examples?
One area they excel in is customer service.
Customer service?
You mean like those chat bots that pop up
(03:33):
when you visit a website?
Well, yes.
But it goes way beyond that.
How so?
Think about those frustrating calls
where you're stuck on hold forever.
Yeah, I hate those.
AI agents can handle a wide range of customer queries,
from basic info requests to troubleshooting, all instantly
and around the clock.
So no more elevator music purgatory
while waiting for a human to pick up.
(03:54):
Exactly.
And it's not just about speed of work.
AI agents can actually use data to personalize
each interaction, making the whole experience smoother
and more satisfying for the customer.
That sounds like a win-win for both businesses and customers.
Absolutely.
And it goes way beyond just customer service.
Oh, really?
They're already making waves in sales, marketing, and even
finance.
AI and finance.
(04:15):
That sounds a bit scary.
Not at all.
Think about those tedious tasks, like processing invoices,
managing expenses, and even assessing risk.
Those tasks sound pretty soul-crushing.
AI agents can automate all of that,
freeing up human employees to focus on the big picture stuff,
the strategic thinking that requires a human touch.
(04:36):
So it's not about replacing humans,
but rather augmenting their abilities.
Exactly.
It's about creating a more efficient and productive
workforce where humans and AI work together in harmony.
That sounds like a much more optimistic vision of the future.
It is.
And it's already happening.
You mean companies are actually seeing these positive results?
Absolutely.
McKinsey & Company, a global consulting firm,
(04:57):
reported a 90% reduction in lead time
and a 30% decrease in administrative work.
Whoa, that's huge.
All thanks to AI agent implementation.
I'm starting to see the appeal.
But I have to ask, what about the potential downsides?
Every new technology comes with risks,
and AI is no exception.
You're absolutely right.
We need to be mindful of the potential risks
(05:17):
as AI agents become more sophisticated and integrated
into our lives.
So what are some of the concerns we need to be thinking about?
One of the biggest concerns is the potential
for job displacement.
As AI agents become more capable,
they could automate tasks currently done by humans,
potentially leading to job losses in certain sectors.
That's a valid concern.
(05:38):
How do we prepare for a future where
AI plays an even larger role in the workforce?
That's a question a lot of people are grappling with.
It's about finding the right balance.
We need to think about how we can reskill and upscale workers,
helping them adapt and thrive in a world where AI is
increasingly prevalent.
It's not about humans versus machines,
but about finding ways for them to work together effectively.
(06:00):
Exactly.
And there are already companies working
on platforms that make building, deploying, and managing AI
agents easier, even for those without a tech background.
So the barriers to entry are lowering making
this technology more accessible.
Absolutely.
And that's a good thing, because the more people who understand
and can work with AI, the better equipped
will be to harness its power for good.
(06:21):
That's an important point.
We need to ensure that AI is used ethically
and responsibly, and that everyone benefits
from its advancements.
Couldn't agree more.
And speaking of advancements, there's this company, OpenAI,
that's developed a model called O1 that's causing quite a stir
in the AI community.
O1.
What's so special about it?
(06:42):
The O1 model is intriguing because of its advanced
reasoning capabilities.
Reasoning capabilities.
You mean it can actually think things through?
Essentially, yes.
It can break down complex problems into smaller steps
and solve them systematically through a technique called
chain of thought reasoning.
That sounds like a major leap forward.
So how does this translate to the real world?
Can you give us a concrete example?
(07:03):
Picture this.
You're a lawyer wrestling with a dense contract.
OK, I'm picturing it.
The O1 model can analyze that contract,
pinpoint potential risks, and even suggest revisions.
All by itself.
All while explaining its reasoning in a way
humans can understand.
That's incredible.
It's like having an AI legal eagle on your team.
Exactly.
And it's not just limited to law.
(07:24):
Any field that requires complex problem solving and analysis
could potentially benefit from O1's capabilities.
It's like having a super powered brain working
alongside humans tackling challenges in a way
we've never seen before.
It's truly mind blowing.
But before we get too carried away,
it's important to acknowledge that any new technology comes
with risks, and AI agents are no exception.
(07:46):
Right.
We talked about job displacement.
But are there other concerns we need to be aware of?
Well, one concern is the potential for bias AI systems
are trained on data.
And if that data is biased, the AI system
can inherit those biases.
So it's like garbage in garbage out.
Exactly.
That's why it's crucial to ensure that the data used
to train AI systems is diverse and representative
of the real world.
(08:06):
And that the AI systems are designed and used
in a way that mitigates potential biases.
Absolutely.
It's a complex issue, but it's one
that we need to address head on if we
want to ensure that AI is used ethically and responsibly.
Well said.
It's clear that AI agents have the potential
to be incredibly powerful tools, but it's up to us
to use them wisely and ethically.
(08:28):
Couldn't agree more.
So where do we go from here?
What's next for AI agents?
Well, one area that's really heating up
is the development of AI agents that can actually
control computers, just like a human would.
Wait, are we talking about AI that can surf the web open apps
and even do work within those apps?
You got it.
That's exactly what companies like Antropic are working on.
That sounds like something straight out of a sci-fi movie.
(08:50):
It is pretty wild, isn't it?
Yeah.
Imagine an AI agent that can see and interact
with the digital world just like we do.
OK, I need to hear more about this.
How does it even work?
Is it like some kind of digital puppet master pulling
the strings behind the scenes?
Well, instead of relying on traditional back-end integration,
Antropix agent utilizes an action execution layer.
(09:12):
An action execution layer?
What's that?
It basically allows the AI agent to interpret
what it sees on the screen and control the mouse and keyboard
just like a human user would.
So it's like giving an AI a set of digital eyes and hands.
Exactly.
And it's not just some futuristic concept.
It's already being used to automate
a wide range of tasks.
Like what kinds of tasks?
(09:33):
Think about things like booking a flight,
researching information online, or even filling out forms.
So I could just tell the AI agent what I want it to do,
and it would handle all the tedious clicking
and scrolling for me.
Exactly.
It's like having a personal assistant that
lives inside your computer.
That sounds incredibly convenient.
But I have to ask, how do we know these AI agents are safe?
(09:55):
What's to prevent them from going rogue
and doing something malicious?
That's a crucial question.
And Anthropic has taken safety very seriously.
So it's not just a matter of unleashing this AI agent
onto the internet and hoping for the best.
Definitely not.
They're using advanced safety protocols
to prevent the AI from taking harmful actions.
And they've also incorporated features
(10:15):
that allow humans to monitor and control its behavior.
So it's a balance between innovation and responsibility.
Exactly.
It's about pushing the boundaries of what's possible
while ensuring that these powerful tools are
used ethically and safely.
That's good to hear.
It's reassuring to know that companies like Anthropic
are prioritizing safety as they develop
these powerful AI agents.
(10:36):
It's essential to be mindful of the potential risks
as we explore the uncharted territory of AI.
Right.
But it's also important to recognize the incredible potential
that this technology holds.
Absolutely.
And speaking of potential, there's
this company HubSpot that's embracing
the power of AI agents in a truly innovative way.
HubSpot, the marketing automation company.
(10:57):
That's the one at INB and Bound 2024,
their co-founder Dharmesh Shah unveiled something
called Agent AI.
And it sounds like it could be a game changer.
Agent AI.
What's that all about?
Imagine a professional network designed specifically
for AI agents.
It's like LinkedIn, but for the bots.
Wait, so businesses can connect with and even
(11:19):
hire AI agents to help them with various tasks.
Exactly.
It's like having access to a global talent
pool of AI specialists.
So instead of having to build your own AI agents from scratch,
you can simply tap into this network
and find the right agent for the job.
You got it.
It's like having a whole marketplace of AI talent
at your fingertips.
That's incredible.
It sounds like HubSpot is really pushing
the boundaries of what's possible with AI agents.
(11:41):
They are.
And it's not just beneficial for businesses.
How so?
It also creates opportunities for individuals and small teams
to develop and market their own AI agents, potentially
sparking a whole new industry.
This is all incredibly exciting.
And it seems like we're just scratching the surface of what
AI agents can do.
This deep dive has already taken us
on quite a journey from wine recommendations to robot control
(12:05):
and even a LinkedIn for bots.
It's a truly transformative technology.
And we're only just beginning to glimpse its full potential.
But before we get too far ahead of ourselves,
let's take a step back and consider the bigger picture.
What are you thinking?
What are some of the broader societal implications
of this AI agent revolution?
It seems like we're on the cusp of some pretty fundamental
(12:25):
changes.
You're right.
This is a transformative technology
that will have far-reaching implications for our society,
our economy, and even our culture.
It's a new era.
And it's both exciting and a little bit daunting.
It's like we're standing at a crossroads.
And we need to choose the path that leads to a better future.
Exactly.
And that choice requires careful consideration.
(12:47):
AI agents have the potential to solve
some of the world's most pressing problems
from climate change to disease.
They can help us create a more efficient, equitable,
and sustainable world.
But they also raise important questions
about ethics responsibility and the future of work.
It's a complex landscape full of both promise and peril.
It is.
And navigating this landscape will
(13:07):
require open and honest dialogue collaboration
between different stakeholders and a willingness
to adapt and evolve as the technology continues
to develop.
It's a journey that we're all on together.
And it's one that will shape the future of humanity
in profound ways.
But before we get too lost in the big picture,
let's bring it back to the individual level.
I like that idea.
(13:28):
Sometimes it's helpful to step away from the grand narratives
and think about how these technologies will
impact our everyday lives.
So let's do that.
Let's talk about how AI agents are already
starting to change the way we live, work, and interact
with the world around us.
And let's explore some of the potential benefits
and challenges that lie ahead.
Sounds like a plan.
Yeah, it really makes you think, doesn't it?
(13:48):
How these AI agents are blurring
the lines between the digital world and our physical reality.
Absolutely.
I mean, giving AI the ability to interact with computers
like a human.
It's like opening up the whole new dimension for them.
Right.
It's exciting, but also a little bit scary.
What if something goes wrong?
That's a valid concern, especially
when we start thinking about AI agents controlling
(14:10):
physical systems in the real world.
Exactly.
Like, what if an AI agent is controlling
a robot in a factory and makes a mistake?
The consequences could be pretty serious.
But it's not just about making sure the AI is smart,
but also about making sure it's safe and reliable.
Absolutely.
We need to proceed with caution and build in safeguards
to prevent those kinds of scenarios.
(14:31):
Speaking of safeguards and responsible development,
let's talk about those specialized AI agent networks.
Like the one HubSpot announced, Agent.AI.
Yeah, that one.
The whole concept of a LinkedIn for bots is pretty wild.
It is.
It's like we're witnessing the birth of a whole new AI economy.
Right.
Businesses can now tap into this global network of AI
(14:53):
specialists, each with their own unique skills and expertise.
It's like having an on-demand workforce of AI agents
ready to tackle any task you throw at them.
So instead of building your own AI agent from scratch,
you can essentially just go shopping for the right one.
Exactly.
You can browse profiles, see what skills and expertise
each agent offers, and then connect with the ones
(15:14):
that best fit your needs.
It's like an app store, but for AI.
And it's not just about finding the right agent for the job.
These networks also allow AI agents
to connect and collaborate with each other,
potentially leading to even more innovative solutions.
It's like they're forming their own little society,
learning from each other, and evolving over time.
But we need to make sure that this AI society is
(15:35):
built on a foundation of fairness and transparency.
Right.
How do we prevent bias from creeping into the system
and ensure that these agents are acting ethically
and responsibly?
That's the million dollar question.
And it's one that the industry is actively working on.
It's a challenge, but it's one that we
need to address head on if we want AI to truly benefit
(15:56):
society.
Agreed.
Now let's shift gears for a bit and talk
about the technical side of things.
OK, I'm ready for a little AI 101.
What are some of the key technologies
that are making these increasingly sophisticated AI
agents possible?
Yeah.
I mean, these things are doing some pretty incredible stuff.
How are they able to understand our instructions,
navigate complex systems, and even
(16:17):
generate creative content?
One of the biggest breakthroughs has
been in the field of natural language processing, or NLP.
NLP.
That rings a bell.
It's the technology that allows AI agents
to understand and interact with human language,
both written and spoken.
So that's how they're able to understand our commands
and respond in a way that makes sense to us.
Exactly.
And NLP is becoming increasingly sophisticated thanks
(16:40):
to advances in machine learning and deep learning.
So these AI agents are actually learning
how to communicate like humans.
They're getting pretty good at it.
They can now understand not just the literal meaning of words,
but also the context and intent behind them.
That's impressive.
But language is just one piece of the puzzle, right?
What about visual information?
(17:01):
How are AI agents able to see and interpret
the world around them?
That's where computer vision comes in.
This technology gives AI agents the ability
to see and understand visual information, much
like our own eyes do.
So they can actually see the world?
In a digital sense, yes.
It's being used to develop AI agents that can drive cars,
operate robots, and even assist surgeons in the operating room.
(17:24):
Wow, that's amazing.
It sounds like computer vision is opening up
a whole new world of possibilities for AI agents.
It is.
But let's bring it back down to Earth for a moment
and talk about the business world.
OK, good idea.
Yeah.
Let's get practical.
Yeah.
What are some of the key challenges
that businesses face when trying to implement AI agents?
One of the biggest challenges is integrating AI agents
with existing systems and processes.
(17:46):
Right, because not every business
is starting from scratch.
Many businesses have legacy systems
that weren't designed to work with AI.
So making them compatible can be a complex and time-consuming
process.
So it's not as simple as just plugging in an AI agent
and letting it run the show.
Definitely not.
It requires careful planning and collaboration
between different teams within the business.
And probably a lot of patience.
(18:07):
And what about the skills and expertise
needed to develop and deploy these agents?
I imagine that requires a pretty specialized skill set.
Right.
Not everyone can build an AI agent.
Developing and deploying AI agents
requires a deep understanding of AI technologies, data science,
and software engineering.
So finding the right talent is crucial.
And it's not just about technical skills.
(18:30):
It's also about understanding how to effectively manage
and collaborate with AI agents, which
is a whole new way of working for many businesses.
It's like a shift in mindset almost.
Exactly.
But the potential rewards are significant.
AI agents can help businesses improve efficiency, reduce
costs, and even create entirely new products and services.
So it's worth the effort.
(18:50):
Absolutely.
And it's exciting to see how businesses
are embracing this technology and finding creative ways
to use it to their advantage.
Let's talk about a specific example, a case study that
highlights the transformative power of AI agents.
Like the partnership between Google and Honeywell
in the field of industrial automation.
That's the one.
It's a fascinating example of how AI agents are being
(19:13):
used to optimize complex industrial processes.
It's a glimpse into the future of manufacturing.
So instead of humans controlling the machines,
we now have AI agents calling the shots.
In a sense, yes.
Google's AI agents are being integrated with Honeywell's
industrial control systems, giving them the ability
to monitor and adjust processes in real time.
(19:35):
Based on data, I imagine.
Vast amounts of data.
It's like having a team of super efficient supervisors
overseeing the entire operation.
OK, so how does this actually work in a real world setting?
Imagine a bustling manufacturing plant
with multiple machines operating simultaneously,
each with its own set of parameters and variables.
OK, I'm picturing it.
Traditionally, human operators would monitor these machines
(19:57):
and make adjustments as needed.
A pretty demanding job, I imagine.
It is.
But with Google's AI agents, the system
can now monitor all the machines,
simultaneously analyze data from sensors and cameras,
and make adjustments in real time to optimize performance.
It's like having an AI-powered control room,
keeping everything running smoothly and efficiently.
(20:17):
And they can do this with a level of precision and speed
that humans simply can't match.
So it's a win for efficiency.
And productivity.
They can also predict potential problems
before they occur, preventing costly downtime and delays.
That's incredible.
But what happens to the human workers in this scenario?
Are they out of a job?
It's a valid concern.
(20:37):
And it's one that we need to address thoughtfully.
So it's not about replacing humans entirely,
but rather about finding ways for humans and AI
to work together effectively.
Exactly.
AI agents are great at tasks that require precision speed
and data analysis.
But humans are still better at things like creativity,
problem solving, and empathy.
Right, by combining these strengths,
we can create a more efficient and productive workforce.
(21:00):
It's a powerful vision for the future of work.
One where humans and AI collaborate
to achieve goals that neither could achieve alone.
But let's zoom out for a moment and think
about the bigger picture.
The societal implications of all this.
Exactly.
This is a transformative technology
that will have far-reaching implications for our society,
(21:20):
our economy, and even our culture.
It's like we're on the verge of a new era.
And with every new era comes both opportunities
and challenges.
So it's up to us to make sure that this AI revolution leads
to a better future for everyone.
We need to be mindful of the potential risks,
but also embrace the incredible potential
that this technology holds.
It's a balancing act for sure.
(21:42):
But let's shift our focus for a moment
and bring it back to the individual level.
OK, let's get personal.
How are AI agents already starting
to change the way we live, work, and interact
with the world around us?
Yeah, it's amazing how quickly this technology is evolving
and becoming part of our everyday lives.
It's like we're living in the future, but it's already here.
But let's talk about the tools and platforms that
are making all of this possible.
(22:03):
Because these AI agents aren't just magically appearing,
right?
Exactly.
There's some serious tech behind them.
So what are the go-to tools for creating these amazing AI
agents?
One of the big players is Google's Vertex AI.
Vertex AI.
Yeah, it's a comprehensive suite of tools
that covers the entire AI development lifecycle
(22:24):
from building and training models to deploying and monitoring
them.
Sounds pretty powerful.
It is.
And Microsoft also has a platform called Azure AI,
which offers a similar range of tools and services.
So if a company is already using a lot of Microsoft products,
Azure AI might be a good fit.
Exactly.
And let's not forget about the open source community.
Right.
(22:44):
Open source is always pushing the boundaries.
There are tons of open source libraries, frameworks,
and tools that are empowering developers of all levels
to build an experiment with AI agents.
That's awesome.
It makes AI development more accessible to everyone.
Absolutely.
And speaking of exciting developments,
let's talk about generative AI agents.
Generative AI agents.
Those are the ones that can create new content, right?
(23:05):
You got it.
Things like text images, music, even code.
It's like having an AI creative partner.
Exactly.
You can give them a prompt, and they'll
generate something totally original based on your input.
But how do we make sure they're used responsibly?
What's to prevent them from being
used to create harmful or misleading content?
That's a crucial question.
(23:25):
And researchers and developers are
working hard to develop safeguards and ethical
guidelines for generative AI.
Because with great power comes great responsibility.
Absolutely.
It's up to us to ensure that these powerful tools are
used for good.
So let's shift gears and talk about some
of the positive ways AI agents are already making
a difference in the world.
OK.
I like where this is going.
(23:46):
What are some of the most inspiring use
cases you've come across?
One area where AI agents are really shining
is in health care.
Health care.
How so?
They're being used to assist doctors
with diagnosis, personalized treatment plans, and even
monitor patients remotely.
Wow.
So they're actually improving patient care.
And potentially saving lives.
That's incredible.
And it's not just about supporting doctors.
(24:09):
AI agents are also being used to develop
new drugs and therapies, accelerating medical research
and innovation.
It's amazing to think that AI could help us cure diseases.
It's a really exciting time to be working in this field.
And the impact of AI agents goes beyond health care.
Oh, yeah.
Like what?
They're being used to tackle environmental challenges,
like monitoring deforestation and optimizing energy
(24:31):
consumption.
But they're helping us protect the planet, too.
Exactly.
But amidst all this excitement, it's
crucial to remember the human element.
Right.
Technology should serve humanity, not the other way
around.
As AI agents become more integrated into our lives,
we need to make sure they're developed and used
in a way that benefits everyone.
We need to be mindful of the potential biases
(24:51):
and unintended consequences.
And work together to create a future
where AI is a force for good.
Absolutely.
So as we wrap up this deep dive, I'm
feeling a mix of optimism and caution.
Optimism for the incredible potential of AI
and caution for the responsibility
that comes with it.
We're living in a truly transformative time.
And it's up to all of us to shape the future of AI
(25:14):
in a way that benefits humanity.
We need to have open and honest conversations
about the ethical implications of AI
and work together to ensure that it's used for good.
Well said.
It's been an amazing journey exploring the world of AI agents
with you.
Likewise, it's been a fascinating discussion.
And to our listeners out there, we
hope this deep dive has sparked your curiosity
and given you a glimpse into the incredible possibilities of AI.
(25:37):
It's a rapidly evolving field.
And we're only just beginning to scratch the surface
of what's possible.
So stay curious, keep learning, and let's build a future
where AI empowers us all.
To a brighter future.
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I’m Jay Shetty host of On Purpose the worlds #1 Mental Health podcast and I’m so grateful you found us. I started this podcast 5 years ago to invite you into conversations and workshops that are designed to help make you happier, healthier and more healed. I believe that when you (yes you) feel seen, heard and understood you’re able to deal with relationship struggles, work challenges and life’s ups and downs with more ease and grace. I interview experts, celebrities, thought leaders and athletes so that we can grow our mindset, build better habits and uncover a side of them we’ve never seen before. New episodes every Monday and Friday. Your support means the world to me and I don’t take it for granted — click the follow button and leave a review to help us spread the love with On Purpose. I can’t wait for you to listen to your first or 500th episode!
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Does hearing about a true crime case always leave you scouring the internet for the truth behind the story? Dive into your next mystery with Crime Junkie. Every Monday, join your host Ashley Flowers as she unravels all the details of infamous and underreported true crime cases with her best friend Brit Prawat. From cold cases to missing persons and heroes in our community who seek justice, Crime Junkie is your destination for theories and stories you won’t hear anywhere else. Whether you're a seasoned true crime enthusiast or new to the genre, you'll find yourself on the edge of your seat awaiting a new episode every Monday. If you can never get enough true crime... Congratulations, you’ve found your people. Follow to join a community of Crime Junkies! Crime Junkie is presented by audiochuck Media Company.
Ridiculous History
History is beautiful, brutal and, often, ridiculous. Join Ben Bowlin and Noel Brown as they dive into some of the weirdest stories from across the span of human civilization in Ridiculous History, a podcast by iHeartRadio.