All right, hopefully you can
hear me. Hopefully this is going
to work. Figured I would share
this. A lot of the folks I
follow on LinkedIn, they, um
they do some cool stuff. They go
to some cool places like Dubai,
Monaco, et cetera. Shout out to
you, Lauren, for the
inspiration. And I figured I
would stream today because I
haven't streamed in a while this
month. My bad.
Totally on me. A lot of family
stuff going on. I'll explain
another time in the future. But
said family stuff brings me to
this wonderful place in
basically rural Pennsylvania,
somewhere between Pittsburgh and
Philly. And I am literally at an
airbnb by a stream. I don't know
how well you can see that, but
there's a little fire pit there.
Rock garden. I don't know what
that is.
But I figured I would stream by
a stream because it's kind of a
dad joke, I guess. And I got to
clean this camera on this
laptop. It's a bit of a dad
joke. And tomorrow is Father's
Day, so I figured I would just
share that. A couple of things.
One, I want to thank everyone
for the positive feedback I got
on the latest edition of the
Frank Diggs Data newsletter. And
if you're not already subscribed
on LinkedIn, please do so. Thank
you for that.
Ray is a distributed computing
framework for basically AI and
ML workloads, more so than, I
think, data engineering
workloads. And it's one of those
things where it says it's going
to replace Spark. I think it
will. Will it do that in six
months? Six quarters? I think
that's the only thing that is
the big question. Obviously,
it's a new technology, and I
think that the fact that it's
based on python is a definite
plus. The fact that it can
really kind of free people from
Pi Spark. I know it says sounds
silly, right? Like free people
from Pi spark. Like it's this
horrible thing, but Pi Spark is
not proper python.
Yeah, I know there's been a lot
of work done bridging those two
worlds, but I also think that
the problem space that yeah, I
can't be here. Okay, cool. The
problem space that Spark was
meant to solve goes back about
ten, maybe 15 years at this
point. Same thing that happened
with Hadoop. The problem Hadoop
was meant to solve dates back to
the early 2000s. So these
technologies will either adapt
let me rephrase that the
technology products themselves.
These are open source projects.
Open source projects tend to do
best when they solve one
particular problem in a
particular way.
I know I'm going to get a lot of
hate mail on that, but
ultimately what I'm saying is
that let's focus on the problem
we're trying to solve, not
necessarily the tools that we're
using to solve them. And I think
Ray is definitely positioned to
be an excellent future facing
thing. Hey, my LinkedIn comment.
Hey, Boris. How's it going?
Let's see. Let me get the chat
overlay going. There we go.
Usually I don't stream from the
MacBook.
I'm on the MacBook now. It's a
MacBook M two, not an ultra. I
got this last fall to replace my
personal laptop because I am
falling out of love with Windows
because of Windows Eleven, but
that is something I've ranted
about on multiple live streams,
so I'm going to drop that there.
So as for me, I'm enjoying my
stream side streaming. I should
make that a thing, but
ultimately I think that check
out the article, let me know
what you think. What do you
think is going to be? I know
there's another technology. What
prompted me to write it was
actually a question that came up
at work the other day, and I had
seen something come across
either my Twitter feed or my
LinkedIn feed about another
framework that is claiming to be
like the next spark, right? The
next big data processing
framework. I still think Ray has
more on it, not the least of
which is the Python native
features.
And if you look at the work
that's being done to increase
speed in Python, whether that is
some of the latest
optimizations, or Mojo, which is
basically a kind of like
TypeScript what TypeScript did
for JavaScript, mojo is doing
that. So you're going to get a
lot more performance
enhancements depending on who
you talk to. The performance
enhancements are ten to twelve
X, or in some extreme cases,
thousands of times faster. I
think those are extreme cases,
but ten times optimization, ten
times speed improvement is going
to be a big deal, particularly
when you're dealing with neural
network learning and all the
computational power that goes
there. If you marry that to a
big data distributed processing
framework, well, then think
about what that open up. I just
noticed my hair is a little
wild. It's time for me to get a
haircut. So speaking of AI and
some AI goodness, I want folks
to know about this upcoming AI
webinar.
It's a joint webinar with Red
Hat and intel where we're going
to talk about AI application
benchmarking. I know one of the
speakers, she's awesome. I don't
know the other speaker, but it's
going to be a joint presentation
between Intel, Red Hat, and
we're going to talk about how
OpenVINO and Red Hat OpenShift.
Data science can be used
together to optimize your data
workflows. All right, I think I
have another comment. There we
go. Oh, that was me. I love web
based software because it's so
easy.
Browser based streaming software
or any software. The updates are
all automatic, so sometimes the
user interface, they've changed
that. So just want folks to be
aware of that upcoming webinar.
There's another webinar. I think
it's invite only that I'll be
doing next week. It's for IBM.
Watson X IBM partners only, I
think. And IBM employees.
I'll be speaking on that, on the
power of open source artificial
intelligence and how the
partnership between IBM and Red
Hat can really accelerate your
data endeavors. There's another
webinar going on that I do have,
the QR code, but it's not pre
loaded into the system. You have
to forgive me. I've been
traveling with the kids
business. Travel alone is a
challenge, but traveling with
the family now that they're out
of school adds an extra level of
fun. However, I do have the
privilege of having my extra
production assistant here. Let's
go and meet her. Hey, you want
to say hello? Are you camera
shy? You camera shy? Come on.
There you go. She's a Weimer on
her hi. I know, she's very
excitable. Yes, the link to the
meeting webinar. Let me post
that again. Thank you, Thomas.
Hope things are well. There we
go.
You can scan that QR code. Let
me hide that. Scan that QR code.
I'll post it in the comments. I
think I already did mention this
one in a previous LinkedIn post.
Restream has really got to up
their game because I don't think
you can type. Oh, wait, it looks
like you can. No, LinkedIn
comments are read only.
Still. Oh, well, what a problem
to have, though. I mean, I
remember when doing a live
stream required, like,
specialized hardware. Even
before that, it was even more
specialized hardware. When I was
doing live streams for the K
Street office, we had to get a
Tricaster, which is a $4,000
machine. And that was the cheap
one, right? That was the mini
one. But now I've done this on
my phone through a browser,
which is just absolutely
phenomenal. So for me to
complain and I can't send a text
message to LinkedIn from here is
kind of funny, right? It's about
the psychology of human
expectations.
But seriously, Restream is an
awesome platform. If they added
that, it would be the perfect
platform. So with that, I'm
going to thank you, Thomas.
Thank you, Boris, for
commenting. I really appreciate
it. I'll leave that QR code up
there for another minute, but
let me know what you think. Do
you think I should put more
content up on my LinkedIn
newsletter? I do have a sizable
subscription there. I am going
to work on building my own email
list because I just think that's
just a good thing to do.
Anyone has advice on what
platform to use, please let me
know in the comments below.
Definitely looking for some
advice on that. And there'll be
a new episode of Data Driven
coming out. Now that my oldest
son is out of school for the
year, I'm going to make it a
summer job for him to learn how
to edit podcasts. Figured it'd
be a good skill for him to have,
so hopefully I can get the
backlog. We have a lot of great
shows. Seriously. I know you're
thinking I would say that, but
Andy and I shout out to you,
andy brother from another
mother.
We've been just impressed with
the quality of guests that we've
spoken to. We've had some really
smart people. Some one famous
person, actually. One famous on
the Internet person, anyway,
who's not in the database.
Actually. She's an entrepreneur.
Awesome. Lauren Tickner.
She's cool. I've admired her
work for a while. She's very
kind of no nonsense, kind of a
cool straight shooter. Very
funny. Very smart, too, in terms
of how she's built her brand and
her business. I like this
street. I mean, it's not the
Burj Khalifa that I'm looking
at, but we all do what we can
with what we have. Who knows,
maybe your future livestream
will be over there.
But in all seriousness, check
out this webinar. I think this
is a very exciting time to be in
artificial intelligence. It's
definitely an inflection point.
I think Chat GPT has really put
gasoline on something that was
already pretty well lit. And
it's funny because 18 months ago
I was saying that there was
going to be an AI in the
LinkedIn profile where I talk
about how only quantum computing
can save us from AI winter.
Obviously, I was proven wrong.
There's been a lot of
innovation. I did not expect
Chat GPT to come in 2022.
That was a type of technology
and thing that I would have
anticipated towards the middle
of the decade. I knew it was
coming, I just didn't think it
would be coming this fast. So
just goes to show you, even if
you're an expert in the field,
even if you're in this, this has
surprised a lot of people, and
obviously there's a lot of drama
around Chat GPT. Some people
kind of dismiss it as, well, the
latest fad, or it doesn't do
anything more than your phone
does when you do the predictive
text. And while that's
technically true, right, that is
the equivalent of comparing a
paper airplane with, I don't
know, an Airbus A 380, or a
Boeing Triple Seven, or an F 35
fighter. Whatever represents the
state of the art for you in
aviation. It's technically true
because they are based on the
same type of principles, right?
Air, lift, thrust, drag, all
that sort of thing, gravity. But
they are very different in terms
of their implementation and
skill and the amount of just
technology in it, right.
The amount of maturity. That's
probably the word I was looking
for. Fortunately, I need more
coffee, basically.
Unfortunately, this airbnb
actually has a nice curry
machine. I know there are a lot
of curry haters out there, but
you can't beat push button
coffee. Do you sacrifice
quality? Yeah, I guess you do.
But let's be real, if I make it
from a drip cup, it's not going
to be impeccable quality either.
I'll save the coffee shops and
the baristas to make the really
good coffee, but for me, just
the average kind of day, I'm
cool with getting the curry cup.
So with that, I will definitely
encourage you. Check out that
webinar. Great speakers, great
technology. And this is really
the time for AI to shine. And if
you look at all the ethical
concerns in artificial
intelligence in all of this
stuff happening, open source is
now more important than ever in
terms of transparency, in terms
of sharing innovation, sharing
risks, right? Understanding
these risks to society, that
open source mentality, right?
That sounds bad, but that open
source mindset, that's a better
word is needed now more than
ever, because this technology is
going to affect each and every
one of us, right? Obviously, for
those in the industry, it's
going to affect us first. But if
you look at what Google is
doing, I think when Wendy's
replacing the drive through,
when you make the order, it's
going to do that through Google.
This is going to impact
everybody, right? From kind of
entry level jobs to even middle
layer, white collar jobs. This
is going to have a profound
economic impact.
Now, will it be barred? Will it
be chat? GBT? Will it be OpenAI?
Who knows? But the fact is, it's
here. It's now. A lot of
governments are trying to
regulate it. Good luck. The
cat's out of the bag. It's here.
And the best way to approach it
is through a community minded
approach that's similar to open
source software. That mindset of
let's be open, let's be
transparent about what we're
building, how we're building it,
and make sure that we run the
technology and the technology
doesn't run us.
So with that, I will end this
live stream by a stream. And
this kind of stream of
consciousness thing was good
enough. I might actually make
this a podcast episode as well.
So if you are listening to the
audio of that, just imagine a
peaceful, tranquil stream in the
middle of the country with a
beautiful fire pit and a quaint
little lodge type thing going
on. That's where I am. I should
have painted that picture early,
but maybe I'll Bailey. Do that
for me. So with that, I'm going
to end the stream.
And if you're wondering who the
heck is Bailey, bailey is the
artificial intelligence that we
have helped run the show. Go,
that does a lot of the intros
and the outros for data driven
and impact quantum. Speaking of
impact quantum, season three is
in the works, I promise. So with
that, I'll end the stream and
you have a great day. And I
probably won't stream on
Father's Day, so if you
celebrate Father's Day, have an
awesome one and enjoy the rest
of your day. You do have.