Open Textual content Company (OTEX) Presents at Nasdaq forty ninth Investor Convention (Transcript)

Open Textual content Company (NASDAQ:OTEX) Nasdaq forty ninth Investor Convention December 5, 2023 8:00 AM ET

Firm Members

Madhu Ranganathan – Chief Monetary Officer

Unidentified Firm Consultant

All proper, effectively, good afternoon. Hope everybody loved lunch and the panel presentation. We’re kicking issues again on once more with OpenText, and we’re happy to have Chief Monetary Officer, Madhu Ranganathan.

Madhu, thanks for becoming a member of us once more on the NASDAQ convention.

Madhu Ranganathan

Sure, thanks for having us. It is nice to be at NASDAQ in London.

Query-and-Reply Session

Q – Unidentified Analyst

Superior. So simply to present you a way, OpenText is now virtually a $6 billion enterprise, serving 120,000 enterprises on and 150 million customers. And so Madhu, given the size of the enterprise for buyers, new to the OpenText story, what’s the ache level that OpenText is fixing in your clients and the way would you describe the core alternative that firm’s pursuing?

Madhu Ranganathan

Sure, sounds nice. And it is an important place to start out. Consider OpenText as we’re targeted on the singular highly effective idea of knowledge administration at scale within the cloud and AI. With the Micro Focus acquisition, we actually have probably the most complete info administration platform within the trade. And to handle Sanjit’s level and the ache factors, I am going to speak about what will we do? We construct software program and we construct software program to energy and defend info and starting from content material administration to enterprise networks, we name it that, gears in direction of industrial, industrial, automotive, provide chain, cybersecurity, proper? And IT operations administration, software automation, and naturally, AI and analytics, form of the complete form of the complete spectrum.

Now what we do is all kinds of knowledge, content material, paperwork, e-mail, video, archives, all of that. And the thrilling alternative forward is intersecting Gen AI via all of that. Now with respect to

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