Welcome to the Daily AI News Podcast.
Today we're doing a deep dive
into Microsoft Ignite 2024.
Huge amount of news coming out of there.
Yeah, it's a lot to process.
So we're gonna try to extract the coolest stuff,
the things that are gonna most impact people
in the workplace, I think.
Exactly.
I mean, they're talking about things like spreadsheets
that build themselves,
you just give a rough description and boom,
there's your spreadsheet,
PowerPoint that can translate entire presentations
on the fly, keep the design, all that stuff.
Seamlessly.
And then AI agents that can just handle
your meetings for you.
Please.
It was wild.
Like a personal assistant on steroids.
It really does feel like we're getting a glimpse
into the future of work here.
Okay, so let's jump right in.
One of the things that kept hearing over and over
was this idea of agents in Microsoft 365.
Right.
What are these agents?
I mean, are we talking like little AI people
running around in the software?
Huh, huh, not quite.
But think of it like this,
an agent is an AI that can perform tasks,
kind of like a super powered assistant.
And it's not just about doing one thing
they can handle entire work processes.
Okay, so like what kind of things are we talking about?
Give me an example.
All right, so picture this.
You've got a big presentation coming up.
You need to gather files, data info
from all over the place.
Instead of spending hours hunting it down,
you just ask the SharePoint agent.
Oh, wham.
It goes and finds everything you need,
compiles it all nice and neat,
no more digging through endless folders.
Okay, I'm starting to get it.
That's pretty slick.
What about other areas?
Well, let's say you've got an HR issue.
You need to request leave or figure out some IT problem.
No more navigating confusing websites.
You talk to the employee's self-service agent.
It takes care of everything.
So basically all those annoying little tasks
that eat up our time, those are getting handled.
Exactly, and there's more.
There's a facilitator agent
for taking meeting notes and summaries.
An interpreter agent that can translate conversations
in real time across nine languages.
And this is just the beginning.
Wow, it really is like having a team of AI specialists
working for you in the background.
Right, the key here is that they're designed
for specific work scenarios.
Taking over the repetitive stuff, the busy work,
so we can focus on higher level thinking.
Okay, but this all sounds great, but what about privacy?
I mean, these agents are handling a lot
of potentially sensitive information.
That's a crucial question, and Microsoft is very aware
of the privacy and security concerns.
They've built in all sorts of safeguards
like data encryption, user permission controls,
and making sure everything complies
with industry regulations.
So it's not just a free-for-all?
No, not at all.
It's about building trust and transparency
right into the system.
Okay, good to know.
Now we've been talking about these ADIS,
but there's another big AI player
at Ignite Microsoft 365, Co-Pilot, right?
Yeah, Co-Pilot's been around for a while
as this helpful AI assistant in apps like Word and Excel,
but it's getting a serious upgrade.
I was reading about that.
It's becoming way more powerful and proactive.
Like, it's not just waiting for you to ask for help,
it's anticipating your needs.
Exactly, they're really pushing Co-Pilot to the next level.
So give me some examples.
What can this supercharged Co-Pilot do?
Well, for starters, there's Co-Pilot actions.
You can literally delegate tasks to it.
Imagine you need status updates from your team.
You just tell Co-Pilot,
hey, go gather status updates from the marketing team,
and it'll actually use the team's agent
to reach out, collect the info, and compile it all for you.
Whoa.
It's like having a manager for your AI assistants.
Huh, yeah, kinda.
And it's getting even smarter about analyzing information
and anticipating needs.
Pretty soon it'll be able to analyze
not just what's said in a team's meeting,
but what's shown on screen during presentations too.
Seriously, it can understand the content of a presentation
just by looking at the slides.
Yep, it's like next level AI, think about it.
You could get these super detailed meeting summaries
that include insights from both the conversation
and the visual content.
It could even generate action items automatically
based on what was discussed.
That is some serious future stuff right there.
And that's not even all they announced, right?
There's some other really cool Co-Pilot features too.
Oh yeah, definitely.
Things that are gonna make a real difference
in how we work every day.
Like what?
Give me some highlights.
Okay, so how about this PowerPoint
can now translate entire presentations
while keeping the design perfectly intact?
No way.
Yeah, imagine the time and effort
that's gonna save for global presentations.
That's huge.
That's amazing.
All right, what else?
Well, there's Excel template creation.
So you just describe what you need
and Co-Pilot suggests the right structure and formulas.
And then there's Outlook agenda drafting.
Co-Pilot helps you stay on track during meetings.
Make sure you cover everything.
Wow, this is incredible.
It really feels like Co-Pilot is going
from this helpful assistant to a strategic partner.
Anticipating needs empowering us
to work more efficiently and creatively.
Exactly.
And it's interesting what's happening here.
It's not about AI replacing us.
It's about AI augmenting us.
I like that augmenting, not replacing.
Right, the focus is on removing friction from tasks
so we can spend more time on strategic thinking,
problem solving, the stuff that AI can't do.
The uniquely human stuff.
Exactly.
So it's not about AI taking over.
It's about AI helping us to be our best.
Precisely.
Okay, so we've talked about agents.
We've talked about Co-Pilot.
Lots of cool features.
But is any of this actually making a difference
for businesses?
Like are companies seeing real benefits
from investing in AI?
That's the million dollar question, isn't it?
Luckily we've got some hard data
to back up all the excitement.
Oh yeah, tell me more.
So Microsoft commissioned a study with IDC
called the Business Opportunity of AI.
And the findings are pretty mind blowing.
Okay, I'm intrigued.
Late on in.
All right, so get this.
Companies that are really embracing AI,
especially generative AI,
like the stuff we've been talking about,
they're seeing a 10x return on investment.
10 times.
That's not just a good idea.
That's becoming essential for companies to stay competitive.
Wow, so early adopters are getting a huge advantage.
Absolutely.
And it's still early days.
The study also found that while most businesses
are currently using pre-built AI solutions,
the future is customization.
Over half the company's surveyed
are planning to develop industry specific AI applications
in the next couple years.
So we're just scratching the surface of what's possible.
Exactly.
Companies are gonna get even more specialized,
even more impactful,
as companies tailor AI to their specific needs.
This is fascinating.
Okay, so we've got this huge potential for ROI,
but there's gotta be some challenges, right?
What are the roadblocks to AI adoption?
Well, the biggest one right now is skills.
Companies need to invest in training in their workforce,
both on the technical side
and in terms of understanding how to actually use AI
effectively in their day-to-day work.
So the message is clear.
AI is here to stay.
It's driving real business value
and the time to upskill is now.
Kind of set it better myself.
Like so, we've covered the big picture.
Let's zoom in on some of the specific AI features
announced at Ignite that I thought were really cool.
Sometimes it's the little details
that make a huge difference in our work lives, you know?
Absolutely.
The devil's in the details, as we say.
So for example, the announcement about Microsoft Places,
this new feature seems like a total game changer
for hybrid work environments.
Yeah, it's all about helping people
make the most of their in-office days.
And how does it do that?
Well, imagine co-pilot suggesting the best day
for you to come into the office based on your meetings
and who else will be there.
It can even manage room bookings
and handle any scheduling changes.
So no more going into the office,
only to find yourself all alone.
Exactly.
It's about optimizing those in-person interactions
which are still so valuable in a hybrid world.
It's like having a personal office concierge powered by AI.
Uh-huh, pretty much.
It takes care of all the logistics
so you can focus on connecting with colleagues.
That's amazing.
Okay, now let's shift gears
to something a bit more technical.
The updates to Microsoft Defender for Cloud,
particularly the focus on container security,
really caught my eye.
Can you explain why this is such a big deal?
Sure.
So containers are becoming more and more popular
for deploying and managing applications,
especially AI models.
Think of them like secure packages for your software.
Okay, got it.
Well, Defender for Cloud is getting enhanced capabilities
to scan these containers for vulnerabilities
throughout their entire lifecycle,
from development to deployment.
It's about ensuring security from the ground up.
So as AI models become more complex and interconnected,
we need really robust security measures
to protect them from potential threats.
Exactly.
And these enhancements to Defender for Cloud
show how Microsoft is staying ahead of the curve
in AI security.
Makes sense.
Another announcement that impressed me
was the introduction of serverless GPUs
in Azure Container apps.
This sounds like a game changer for AI developers.
It is.
It addresses a major pain point.
Developers often struggle with managing GPU infrastructure,
which is essential for AI workloads.
Serverless GPUs let them access the immense processing power
of GPUs on demand without the hassle
of managing the underlying infrastructure.
So it's like having a high-powered gaming PC
at your fingertips,
but only paying for the time you actually use it.
Perfect analogy.
It highlights how Cloud computing is democratizing access
to powerful AI tools.
Love it.
Speaking of Azure,
I have to mention the new Microsoft Fabric databases.
This concept of autonomous databases is intriguing,
but also a bit intimidating.
Can you demystify it for us?
Imagine databases that manage themselves.
They optimize performance and security automatically.
That's the essence of autonomous databases.
And Fabric databases are designed to do just that.
So less time spent on database administration,
more time building AI-powered application.
Get it.
And the first database engine coming to Fabric
is a SQL database,
which is familiar to a lot of developers.
These databases also seamlessly integrate with Azure AI,
including support for native vector search,
which is crucial for generative AI applications.
Very cool.
And speaking of generative AI,
let's not forget the updates to Azure AI search,
including a generative query engine
and integration with GitHub models.
This is a big deal for anyone working
with retrieval augmented generation or R,
where AI systems use external knowledge sources
to generate more accurate responses.
Absolutely.
Instead of relying solely on its own knowledge,
the AI can tap into vast repositories
of information like GitHub.
That's amazing.
So it's like giving the AI a whole library to work with.
Exactly.
And the generative query engine will help users
formulate more effective queries,
even if they don't know the exact keywords to use.
It's about making AI more intuitive
and accessible for everyone.
That's awesome.
Okay, continuing on this theme of Azure AI,
there were also some interesting updates
related to Azure machine learning.
Can you tell us a bit about those?
Of course, Azure machine learning now offers
a feature called prompt flow,
which simplifies the process of creating
and managing prompts for large language models.
Okay, and what's that good for?
It's particularly useful for tasks like
text summarization, question answering,
and content generation.
So instead of writing complex code,
you can just use natural language prompts to guide the AI.
Exactly.
It's about making AI development more accessible
and intuitive.
I love that.
What other updates were there to Azure machine learning?
They also enhanced the responsible AI dashboard,
which provides tools to help developers assess
and mitigate potential biases in their models.
So it's not just about making AI more powerful.
It's about making sure it's used fairly and ethically.
Absolutely.
Transparency and fairness are crucial considerations
as AI becomes more integrated into our lives.
Well said.
Okay, so we've seen how Azure machine learning
is becoming more powerful and accessible,
enabling developers to build and deploy AI solutions
more efficiently.
But let's shift focus now to how these AI advancements
are impacting specific industries.
Because while the technology itself is fascinating,
it's the real world applications
that truly capture the imagination, right?
Absolutely.
AI is no longer confined to research labs.
It's actively transforming industries across the board.
Exactly.
It's not a one size fits all approach anymore.
And Microsoft Ignite showcased some compelling examples
of AI being customized for innovation
in fields like healthcare manufacturing, finance,
even agriculture.
The one that immediately caught my eye
was the collaboration between Microsoft and Bayer,
the global life sciences company.
Yes, the LY crop protection model
available in the Azure AI model catalog.
This is a fantastic example of how AI can improve
agricultural practices and sustainability.
Okay, full disclosure, I'm not a farming expert.
Can you break down how this AI model works
and its benefits for the agricultural industry?
Sure.
So this model assists agronomists,
the professionals who specialize in soil management
and crop production.
It leverages vast data and knowledge
to provide insights on crop protection strategies
and regulatory compliance.
Think of it as an intelligent assistant for agronomists,
helping them make better decisions,
which leads to healthier crops,
reduced environmental impact,
and improved farm efficiency.
So it's like having a digital agricultural expert
guiding farmers toward more sustainable
and productive practices.
Precisely.
It's a great example of AI addressing pressing challenges
facing agriculture, like increasing food production
while minimizing environmental impact.
This is amazing.
Another partnership that stood out
was Microsoft and Sarance.
They specialize in automotive AI solutions,
and they're working on integrating fine-tuned,
small-language models directly into vehicle hardware.
This is a potentially groundbreaking development.
Imagine a voice assistant that can control
various aspects of your car,
from climate control to navigation,
even without an internet connection.
Wait, my car could have its own mini AI brain
independent of the cloud.
That's both futuristic and a bit unsettling.
Uh-huh.
It's a big step towards more intelligent
and autonomous vehicles.
And while it might seem strange at first,
think about the benefits, improve safety features,
personalized driving experiences,
and the ability to perform tasks offline.
So it's about making cars smarter and more capable,
even with limited cloud connectivity.
Exactly.
And this is just the beginning.
As AI advances, we can expect
even more automotive innovations.
Okay, shifting gears to a different industry.
I was really impressed by the collaboration
with Rockwell Automation,
a leader in industrial automation.
They're using AI to help frontline workers
in manufacturing, specifically in the food and beverage sector.
Yes, their FT Optics Food and Beverage model
is designed for troubleshooting and maintenance.
Imagine AI predicting potential equipment failures
before they occur.
That means less downtime, less waste,
and a safer work environment.
Wow, it's like having an AI supervisor
constantly monitoring the factory, ensuring smooth operations.
You know, you always emphasize that AI
isn't just for large corporations.
Did Microsoft ignite off
for anything for smaller businesses?
Absolutely.
Microsoft highlighted making AI accessible
to small and medium businesses or SMBs.
One example is integrating Defender for Business
with Huntress, a cybersecurity company.
Cybersecurity is crucial for all businesses,
but smaller companies often lack the resources
for robust protection.
How does this partnership help?
Huntress offers 24-7 security monitoring
and incident response,
which most SMBs can't manage in-house.
Integrating Huntress with Defender for Business
makes enterprise-grade cybersecurity solutions
accessible to smaller organizations.
So it's about leveling the playing field,
ensuring all businesses have the tools
to protect themselves from cyber attacks.
Exactly.
This deep dive has been eye-opening.
It really showcases how AI is impacting every sector,
from revolutionizing how we work
to transforming entire industries.
It's clear that AI is shaping our world in profound ways.
It's an exciting time to be witnessing
this technological evolution.
Absolutely.
And while we can only speculate
about AI's future implications,
one thing is certain,
it's a force we need to understand, embrace,
and harness for the betterment of society.
Well said.
It's been a pleasure exploring
the frontiers of AI with you.
As we wrap up this deep dive into Microsoft Ignite,
I wanna leave our listeners with a thought.
How might these AI advancements impact your work,
your industry, even your life in the years to come?
It's a question worth pondering.
Absolutely.
Don't be afraid to explore, ask questions,
and imagine the possibilities.
The future of AI is being written right now,
and we all have a role in shaping its trajectory.
Well said.
Thanks for joining us on this deep dive into Microsoft Ignite.
We hope you found it informative and inspiring.
And thought-provoking.
Thanks for listening to the Daily AI News Podcast,
and stay tuned for more.
See you next time.
Yeah, it really does feel like that sometimes,
like we're just at the tip of the iceberg.
So all this innovation, it's exciting,
but our business is actually seeing real results
from investing in AI.
That's where the rubber meets the road, right?
And the answer is a resounding yes.
Okay, good, because it's easy to get caught up
in all the hype, but we need to know
if it's actually translating into tangible benefits.
Absolutely.
And thankfully, we've got some hard data to back it up.
Microsoft commissioned a study with IDC
called the Business Opportunity of AI,
and the findings are pretty astonishing.
I saw that study mentioned in the Ignite News.
What were some of the key takeaways?
Well, the biggest one is that companies
at the forefront of AI adoption,
particularly those using generative AI,
like the tools we've been discussing,
they're seeing a 10x return on investment.
10 times.
Seriously?
10 times.
That's not just a good idea,
but that's becoming essential for companies
to stay competitive.
Wow.
So investing in AI is no longer optional, it's a necessity.
Pretty much.
And the study dug deeper too.
It found that while most businesses
are currently using pre-built AI solutions,
the future lies in customization.
Over half the company surveyed plan
to develop industry-specific AI applications
in the next two years.
So we're just scratching the surface of what's possible.
Exactly, things are gonna get even more specialized,
even more impactful, as companies tailor AI
to their specific needs.
It's like we're entering this whole new era
of AI-powered solutions.
Exactly.
And that brings us to another crucial finding
from the study.
The biggest barrier to AI adoption right now
is the lack of AI skills.
So it's not just about the technology itself,
it's about having people who know how to use it.
Right, companies need to invest
in training their workforce, both on the technical side
and in terms of understanding how to effectively leverage AI
in their day-to-day roles.
So the message is clear, AI is here to stay.
It's delivering real business value
and the time to upscale is now.
Absolutely, if you're not thinking about AI,
you're already falling behind.
Okay, so we've covered the big picture.
Now let's zoom in on some of the specific AI features
announced at Ignite that caught my eye.
Sometimes it's those seemingly small details
that can make a huge difference in our work lives, you know?
I completely agree, sometimes the real magic
is in the details.
For example, the announcement about Microsoft Places.
This new feature seems like a total game changer
for hybrid work environments.
Yeah, it's all about helping employees
make the most of their in-office days.
And how does it do that?
Well, imagine this, you're trying to decide
when to go into the office.
Co-pilot looks at your schedule, your meetings,
who else will be there,
and suggests the best day for you to come in.
So no more going into the office,
only to find yourself all alone.
Exactly, it can even manage room bookings
and handle any scheduling changes.
Wow, it's like having a personal office concierge
powered by AI.
Pretty much, takes care of all the logistics
so you can focus on connecting with colleagues.
Okay, now let's switch gears
to something a bit more technical.
The updates to Microsoft Defender for Cloud,
particularly the focus on container security,
really caught my eye.
Can you explain why this is such a big deal?
Sure, so containers are becoming increasingly popular
for deploying and managing applications,
especially AI models.
Think of them like secure packages for your software.
Okay.
Well, Defender for Cloud is getting enhanced capabilities
to scan these containers for vulnerabilities
throughout their entire life cycle
from development to deployment.
It's about ensuring security from the ground up.
So as AI models become more complex and interconnected,
we need really robust security measures
to protect them from potential threats.
Exactly, and these enhancements to Defender for Cloud
show how Microsoft is staying ahead of the curve
in AI security.
Another announcement that impressed me
was the introduction of serverless GPUs
in Azure Container apps.
This sounds like a game changer for AI developers.
It is, it addresses a major pain point.
Developers often struggle with managing GPU infrastructure,
which is essential for AI workloads.
Serverless GPUs let them access the immense processing power
of GPUs on demand without the hassle
of managing the underlying infrastructure.
So it's like having a high powered gaming PC
at your fingertips, but only paying for the time
you actually use it.
Perfect analogy.
It highlights how cloud computing is democratizing access
to powerful AI tools.
Love it.
Speaking of Azure, I have to mention
the new Microsoft Fabric Databases.
This concept of autonomous databases
is intriguing, but also a bit intimidating.
Can you do mystify it for us?
So imagine databases that manage themselves.
They optimize performance and security automatically.
That's the essence of autonomous databases.
And Fabric databases are designed to do just that.
The first database engine coming to Fabric
is a SQL database, which is familiar
to a lot of developers.
So less time spent on database administration,
more time building AI powered applications.
You got it.
And these databases also seamlessly integrate with Azure
AI, including support for native vector search,
which is crucial for generative AI applications.
Very cool.
And speaking of generative AI, let's not forget the updates
to Azure AI search, including a generative query engine
and integration with GitHub models.
This is a big deal for anyone working
with retrieval augmented generation,
or RA, where AI systems use external knowledge sources
to generate more accurate response.
Absolutely.
Instead of relying solely on its own knowledge,
the AI can tap into vast repositories of information
like GitHub.
That's amazing.
Sounds like giving the AI a whole library to work with.
Exactly.
And the generative query engine will
help users formulate more effective queries,
even if they don't know the exact keywords to use.
It's about making AI more intuitive and accessible
for everyone.
OK, continuing on this theme of Azure AI,
there were also some interesting updates related
to Azure Machine Learning.
Can you tell us a bit about those?
Of course, Azure Machine Learning now offers a feature
called Prompt Flow, which simplifies the process of creating
and managing prompts for large language models.
It's particularly useful for tasks
like text summarization, question answering,
and content generation.
So instead of writing complex code,
you can just use natural language prompts to guide the AI.
Exactly.
It's about making AI development more accessible
and intuitive.
I love that.
What other updates were there to Azure Machine Learning?
They also enhanced the responsible AI dashboard,
which provides tools to help developers assess and mitigate
potential biases in their models.
It's not just about making AI more powerful.
It's about making sure it's used fairly and ethically.
Well said.
OK, so we've seen how Azure Machine Learning is becoming
more powerful and accessible, enabling developers to build
and deploy AI solutions more efficiently.
But let's shift focus now to how these AI advancements are
impacting specific industries.
Because while the technology itself is fascinating,
it's the real world applications that truly
capture the imagination, right?
Absolutely.
AI is no longer confined to research labs.
It's actively transforming industries across the board.
And what's exciting is that we're
starting to see industry-specific AI solutions tailored
to address unique challenges and opportunities.
Exactly.
It's not a one-size-fits-all approach anymore.
And Microsoft Ignite showcased some compelling examples
of AI being customized for innovation
in fields like health care manufacturing, finance,
even agriculture.
The one that immediately caught my eye
was the collaboration between Microsoft and Bayer,
the Global Life Sciences Company.
Yes, the L.Y. Crop Protection Model
available in the Azure AI Model Catalog.
This is a fantastic example of how AI can improve
agricultural practices and sustainability.
OK, full disclosure.
I'm not a farming expert.
Can you break down how this AI model works and its benefits
for the agricultural industry?
Sure.
So this model assists agronomists,
the professionals who specialize in soil management
and crop production.
It leverages vast data and knowledge
to provide insights on crop protection
strategies and regulatory compliance.
Think of it as an intelligent assistant
for agronomists, helping them make better decisions,
which leads to healthier crops, reduced environmental impact,
and improved farm efficiency.
So it's like having a digital agricultural expert guiding
farmers toward more sustainable and productive practices.
Precisely.
It's a great example of AI addressing pressing challenges
facing agriculture, like increasing food production
while minimizing environmental impact.
This is amazing.
Another partnership that stood out was Microsoft and Sarance.
They specialize in automotive AI solutions,
and they're working on integrating fine-tuned,
small-language models directly into vehicle hardware.
This is a potentially groundbreaking development.
Imagine a voice assistant that can control various aspects
of your car from climate control to navigation,
even without an internet connection.
Wait, my car could have its own mini AI brain independent
of the cloud.
That's both futuristic and a bit unsettling.
Uh-huh.
It's a big step towards more intelligent and autonomous
vehicles.
And while it might seem strange at first,
think about the benefits, improve safety features,
personalized driving experiences,
and the ability to perform tasks offline.
So it's about making cars smarter and more capable,
even with limited cloud connectivity.
Exactly.
And this is just the beginning.
As AI advances, we can expect even more automotive innovations.
OK, shifting gears to a different industry.
I was really impressed by the collaboration
with Rockwell Automation, a leader in industrial automation.
They're using AI to help frontline workers in manufacturing,
specifically in the food and beverage sector.
Yes, their FT Optics Food and Beverage Model
is designed for troubleshooting and maintenance.
Imagine AI predicting potential equipment failures
before they occur.
That means less downtime, less waste,
and a safer work environment.
Wow, it's like having an AI supervisor constantly
monitoring the factory, ensuring smooth operations.
You always emphasize that AI isn't just
for large corporations.
Did Microsoft ignite, offer anything for smaller businesses?
Absolutely.
Microsoft highlighted making AI accessible to small and medium
businesses, or SMBs.
One example is integrating Defender for Business
with Huntress, a cybersecurity company.
Cybersecurity is crucial for all businesses.
But smaller companies often lack the resources
for robust protection.
How does this partnership help?
Huntress offers 247 security monitoring and incident
response, which most SMBs can't manage in-house.
Integrating Huntress with Defender for Business
makes enterprise-grade cybersecurity solutions
accessible to smaller organizations.
So it's about leveling the playing field,
ensuring all businesses have the tools to protect themselves
from cyber attacks.
Exactly.
This deep dive has been eye-opening.
It really showcases how AI is impacting every sector,
from revolutionizing how we work to transforming
entire industries.
It's clear that AI is shaping our world in profound ways.
It's an exciting time to be witnessing
this technological evolution, and it's just getting started.
Exactly.
And while we can only speculate about AI's full impact
on the future, one thing is certain.
It's a force we need to understand, embrace,
and harness for good.
Well said.
It's been a pleasure exploring the frontiers of AI with you.
As always, thanks for sharing your insights.
My pleasure.
That's it for this deep dive into Microsoft Ignite.
We hope you found it informative and inspiring.
Be sure to check out the show notes for links
to all the resources we discussed.
And as always, keep learning, keep exploring,
and stay curious about the ever-evolving world of AI.
Thanks for listening to the Daily AI News Podcast.
And stay tuned for more.