OpenText Expands AI Capabilities with Cloud Editions 24.4 Release, Focusing on Enterprise ROI

OpenText expands AI capabilities to improve enterprise productivity and ROI

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More There is a lot of hype and a lot of promise surrounding AI and what it can bring to an enterprise. For enterprise software vendor OpenText, moving beyond the hype to be able to actually demonstrate the value of AI is now an everyday mission. Today, OpenText announced its latest set of platform updates with the Cloud Editions (CE) 24.4 release. OpenText has an expansive portfolio of enterprise software that include content management, DevOps, messaging, database and security. The OpenText software portfolio also includes enterprise software gained from the $6 billion 2023 acquisition of MicroFocus, which includes the Vertica database and Autonomy IDOL platform. A year ago, the OpenText Aviator technology debuted as part of the Cloud Editions (CE) 23.4 release, providing integrated generative AI capabilities to parts of the OpenText portfolio. With the new update OpenText is providing more Aviator capabilities with deeper integrations as well as AI agent functionality across its portfolio. The company's expanded AI portfolio, now includes 15 products supported by 102 autonomous agents. The overall goal isn't to deploy AI for AI's sake but rather to deliver measurable efficiency gains for enterprise customers. "The biggest ask from customers, I can tell you, it's almost 95% of the customers I've talked to in the past six to eight months have asked for one thing, show me the return on investment," Muhi Majzoub, EVP and Chief Product Officer at OpenText, told VentureBeat. How OpenText is demonstrating the ROI of enterprise AI In order to help demonstrate the potential value and return on investment from an AI deployment, OpenText has rolled out a program it calls - Earn Your Wings. Majzoub said that the program allows organizations to test OpenText Aviator technology in a controlled environment before committing to a full deployment. The program is a 30-day proof of concept exercise. During this 30-day period, OpenText's AI experts work closely with the enterprise to deploy a model in the organization's preferred environment, whether it's a private cloud, on-premises, or in the OpenText cloud. OpenText guarantees that the model is trained solely on the customer's data, ensuring the relevance and accuracy of the AI-powered insights. By the end of the 30-day period, the customer can evaluate the tangible benefits of the Aviator platform, such as improved efficiency, faster response times and enhanced productivity. Majzoub said that this hands-on experience allows enterprises to clearly demonstrate the ROI of their AI investments, addressing a critical concern and paving the way for broader adoption. At the OpenText World 2024 event this week, Majzoub said that he will be joined on the keynote stage by numerous customers including German automaker BMW, that have benefited from the Aviator AI capabilities. Majzoub also highlighted the work his company has been doing with global life sciences vendor Catalent, which uses OpenText's life sciences solution for manufacturing and quality testing. He noted that Catalent might have over a million documents in a clinical trial procedure. That volume of data is not something humans can realistically sift through in a reasonable amount of time, without a lot of people and time. "The Aviator can sift through those and identify the 20 that a doctor should go through in detail," Majzoub said. Expanding the Aviator AI portfolio At the heart of OpenText's AI strategy is the continued expansion of its Aviator platform. The company is announcing several new Aviator-powered products and enhancements that showcase the breadth and depth of its AI capabilities. One of the notable additions is the Aviator for XDR (Extended Detection and Response), which Majzoub described as a new platform for managed service providers (MSPs) in the security space. "It sifts through log files for security that comes from tools like CrowdStrike, LogRhythm, SentinelOne, or it could come from our own ArcSight platform," he explained. "It sifts through all of these and identifies for you either internal anomalies or external anomalies." In the content management domain, OpenText is showcasing the integration of Aviator into its internal "Ollie.ai" platform, where the company stores all of its own documents. The Aviator is being used to assist sales teams in generating RFP responses, as well as to support technical analysts in providing faster and more accurate resolutions to customer queries. Majzoub also highlighted the use of Aviator in OpenText's DevSecOps platform, where the AI agent is being used to automatically document code, freeing up technical writers to focus on creating more engaging user documentation and training materials. Where OpenText is bringing agentic AI to improve enterprise ROI A key component of OpenText's growing AI capabilities is the integration of agentic AI into the Aviator platform. The AI agents are integrated into OpenText solutions, providing specialized capabilities tailored to the needs of different industries and use cases. "In every business unit, the agents have different meanings and different use cases," Majzoub said. For example, in the security domain, he said that the agents can be embedded into facial recognition and license plate identification systems to assist law enforcement agencies. In the content management space, the agents can analyze large document repositories, summarizing key information and highlighting critical insights that would be difficult for human analysts to uncover. In the supply chain domain, Majzoub said that the AI agents can map transactions and data flows between different enterprise systems, providing visibility and transparency into complex global supply chains. How OpenText aims to differentiate in a crowded enterprise AI market In the enterprise software space, every vendor today has some degree of generative AI. How OpenText is aiming to differentiate is in several different ways. The platform across the OpenText portfolio, supports multi-cloud deployments. Majzoub also emphasized that OpenText is commonly used alongside other enterprise software and has multiple levels of integrations and partnerships. "The partnerships we have developed with great companies like SAP, Microsoft and Google, allows us to embed our platform in these solutions like no other vendor can deliver today," Majzoub claimed. With SAP in particular, Majzoub noted that while SAP is a complex and big platform, OpenText enables a zero copy data capability. That means that data can stay secure in one location and still be used by different applications securely. "Your data is in one place, protected and secure, this is one of the reasons why the top 15 western world governments trust us to secure some of their biggest secrets in our platform," Majzoub said. "This is one of the reasons why in every industry you give me, I'll give you dozens and dozens of customers who have trusted OpenText for 10,15 or 20 years, and continue to move with us."

OpenText broadly enhances customer experience cloud suite - SiliconANGLE

OpenText broadly enhances customer experience cloud suite OpenText Corp., the maker of a diversified set of cloud-based IT and knowledge management products, today is unveiling a set of enhancements and new products around the theme of artificial intelligence enablement. They are combined in version 24.4 of Cloud Editions, a platform that combines information management, cloud-based applications, security, and AI. Collectively, the new features are intended to modernize content management, improve security and speed developer productivity. Highlights of the new release of OpenText Experience Cloud, which combines media, communications, messaging, and data around customer experience, include expanded messaging channels, often for managing customer preferences and simplified communications management. Users of Experience Cloud can send personalized promotions at scale with integrated email and short messaging campaigns. "A company like Pacific Gas & Electric, which uses our products, can communicate to the millions of customers in California in 10 minutes," said Chief Product Officer Muhi Majzoub. Generative artificial intelligence can automatically create letters explaining a service outage, for example, revise the document based on feedback and paste it into a templated email to send to a mailing list, he said. Organizations can now use the Rich Communication Services messaging protocol and Meta Platforms Inc.'s WhatsApp to deliver richer media and branded messages. New cloud fax features combine security certifications, easier use and a portfolio of integrations with multi-function printers and electronic health record systems New options for managing customer data and preferences in OpenText Communications and OpenText Web CMS allow businesses to make customer journeys more personalized using unified profiles and real-time data. New migration tools also help organizations transition to cloud-native customer communication management applications more easily. In the area of enterprise content management, OpenText is announcing the general availability of a digital asset management application it announced last spring. The software is already in use at Walt Disney Co., Target Corp. and L'Oreal SA, Majzoub said. integration with Guidewire Software Inc.'s property and casualty insurance software. The company's ECM software already integrates with SAP SE, Microsoft Corp.'s Teams and office productivity software, Google LLC's Workspace, Oracle Corp.'s E-Business Applications, ServiceNow Inc. and Salesforce Inc. "All the images and video they show you comes from our digital asset management solution," he said. A new Core Cloud Network Observability toolset is intended to give IT teams greater visibility across multi-cloud, on-premises and edge networks. It integrates with OpenText's Application Observability and Network Operations Management to create a more comprehensive view of cloud infrastructure interactions with on-premises systems to help IT teams identify and resolve performance issues more efficiently. OpenText Intelligence Aviator harnesses generative AI to make business intelligence data more accessible. Powered by large language models, it allows users to interact with BI data conversationally, without the need for specialized query language skills. The software also automatically suggests analyses and visualizations based on user queries. New archiving and content security features intended to better manage legacy data and mitigate risks include Information Archive 24.4 integration with Content Aviator to enable organizations to archive generative AI data securely with advanced search capabilities that work against archives of any size. That keeps enterprise data safe but still available for large language model training, the company said. It also accelerates early case assessment and legal scenarios by reducing the time needed for the discovery process. OpenText's extended detection and response products "have the ability to tap into log files from many security tools that enterprises and governments use," said Chief Product Officer Muhi Majzoub. "They generate billions of rows of log files every month. Our automated XDR has the ability to interact with these different tools and present you a summary of the threat with the recommendation of what the action you should take." Also in the security realm, Thrust API for Content Intelligence is a set of application program interfaces designed to identify and control sensitive content such as personal data, proprietary information, and offensive materials. Thrust APIs are typically designed to accelerate specific operations or functionalities. In this case, they automate content risk management and ensure compliance with security and regulatory guidelines. For developers, OpenText DevOps Aviator is getting new features focused on enhancing software development workflows. AI-Assisted User Stories generates relevant user stories to accelerate development efforts and improve prioritization. Video-to-Defect Translation converts hours of testing video footage into actionable test steps within minutes to increase ttesting accuracy and efficiency. Generative AI integration provides developers with tools to streamline workflows while safeguarding proprietary data.