Transcript
IBM Representative (0:00)
The thing about AI for business, it may not automatically fit the way your business works. At IBM we've seen this firsthand. But by embedding AI across hr, IT and procurement processes, we've reduced costs by millions, slash repetitive tasks, and freed thousands of hours for strategic work. Now we're helping companies get smarter by putting AI where it actually pays off, deep in the work that moves the business. Let's create smarter business. IBM,
Bloomberg Host (Caroline) (0:32)
Bloomberg Audio Studios Podcasts, Radio News Arvind Krishna joins us. It is a joy to have you on our network. And look, speed is the name of the game. This deal has completed swiftly and indeed Confluent is all about speed and data analysis. How is that important in this age of AI?
Arvind Krishna (0:52)
Yeah, so Caroline is great to be here with you and on Bloomberg. So just look at what Confluent does. Moving data in real time so that it gets available both for the enterprise, for analytics, but more importantly for AI agents. And doing that in a way that is the most capable product in the world is why it is so exciting to get it done. And your point on speed? I think the regulatory environment is definitely friendlier where we got this done in just under four months, whereas it used to take a lot longer a few years back.
Bloomberg Host (Caroline) (1:28)
If regulatory environment is friendlier, should you be doing more of it? Should there be more M and A particularly with some beaten up overall valuations of software companies at the moment?
Arvind Krishna (1:38)
I just say watch the space.
Bloomberg Host (Caroline) (1:40)
Oh, watch this space. Okay, but where would you want to add on in this moment? I mean what would make sense to be adding to your portfolio?
Arvind Krishna (1:47)
So we are very focused hybrid, cloud and AI and the intersection. So if you look at Confluent, some of the data is in cloud, some of the data is in SAS properties, some of the data is on premise. An agent needs to get hold of it wherever. So that's the hybrid piece combined with the piece. Our sweet spot is going to be hybrid cloud. AI automation are the areas where we are very, very focused on M and A activities as well as organic development. If you look at what we have done around our what's the next product products, what we have done around our mainframe modernization, these are all things that we have built organically but then we supplement it with with targeted acquisitions where the multiple makes sense but it fits our strategy and where we can normally increase the growth rate of the target property, which we certainly hope to do in the confluent case.
