OpenText™ launched Aviator, a generative AI platform at OpenText World last fall. Aviator’s innovative approach enables new horizons of information exploration, creativity, and productivity. One common theme emerges in conversations with our customers: the importance of trust. The benefits of generative AI are immense, but without trust, users won’t be willing or able to realize the power of generative AI fully. To achieve trusted AI, we must start with a solid foundation of purposeful information management and governance that helps us stay organized, secures our content, and facilitates management and change where the technology and the regulatory environment are moving rapidly. Generative AI will advance to transform how knowledge workers approach their jobs, but it can only reach its full potential through careful application of governance principles through information management.
What can we do as information governance practitioners to help ensure successful generative AI use cases and advances within your organizations? Here are six best practices to consider in your project planning and governance policy-making going forward that will make positive impacts on the trustworthiness and usefulness of AI:
1. Curate trusted content
Generative AI is only as good as the information it has available. Curated content that is purposefully selected can give you quick wins. Launch AI pilot projects with explicitly approved content in high demand. Examples are completed contracts, RFPs, FAQs, patent libraries, SOPs, and regulatory content.
2. Control content sprawl
Content sprawl refers to stray convenience copies and abandoned edited versions of documents in email, chat messages, and OneDrive. This type of content can be useful in the short run, but because it is noisy, it can tend to lead AI responses further astray. A well-managed information management process will naturally improve the accuracy and relevancy of responses generative AI produces.
3. Label data
The AI grounding process will be more effective if we can identify the most useful information based on a prompt. Provide labeled data or rich, accurate metadata gathered through well-managed content services and automated processes so that grounding is more accurate and AI advances can better infer source material.
4. Institute better security controls
Commercial large language models do not automatically understand your processes and what must be secured. They can reveal anything they have access to. Diligently secured content repositories and avoiding shadow IT are essential.
5. Provide context
Context is critical. Ideally, we want to infer AI grounding context from the user’s present work context. The context window is most valuable if grounding is focused on a single business transaction such as a new client, project file, HR file, or insurance claim.
6. Incorporate AI governance
AI governance is a rapidly evolving topic of public and organizational policy, legislation and risk mitigation. Some of the principles of AI governance—a subcategory of information governance—include transparency and explainability, fairness and non-discrimination, privacy and data protection, accountability and oversight, and safety and robustness.
Generative AI gives us a huge leap in usability and productivity, especially with vast information repositories. By following these six essential suggestions, we can bridge the gap between busy and overwhelmed users faced with too much information and expectations of higher productivity.
The latest announcement by OpenText of Cloud Editions includes some great updates to OpenText™ Axcelerate™. Check out the latest updates below.
April 2024: What’s new in OpenText Axcelerate 24.2
Introducing the extraordinary power of OpenText Aviator for Axcelerate
With Cloud 24.2 OpenText provides Axcelerate Cloud users with the opportunity to leverage Generative AI for case and concept label summarization
Building on a long tradition of incorporating AI and machine learning to speed document review OpenText is thrilled to introduce the next generation of AI-enhanced productivity – Aviator for Axcelerate. Aviator for Axcelerate enables users to create AI-generated summaries of key documents and concept group labels for improved document review efficiency and rapid insight into the case. Leveraging the power of large language models (LLMs) Aviator for Axcelerate creates a summary of key documents, complete with document ID citations to enable users to confirm veracity. Key document summaries help educate review teams for faster and more consistent review and deliver early insight into the evidence to help counsel assess the merits of the case. Aviator will also assist review teams to rapidly understand concept group labels by providing intuitive plain language summaries within the review interface.
Other recent Axcelerate enhancements at 24.2 include:
Enhanced Audio/Video (A/V) transcript and text redaction options – Search and redaction of A/V files (both video and transcribed text) is easier and more accurate providing users with the ability to:
View redaction overlays in both the viewer and the transcript prior to production
Search across timecoded transcript boundaries
Find portions of the video to be redacted and view results with a corresponding time stamp
Support archive and restore for projects in which the A/V viewer is activated
LaunchPad enhancements – Self-service data upload and processing is easier and more powerful with additional status messaging and upload capacity (including PST files)
Custodian management – Sync custodian data between LaunchPad and Axcelerate for greater visibility and control
January 2024: What’s new in OpenText Axcelerate CE 24.1
Empower your team with more choice to maximize eDiscovery control and efficiency
With 24.1, OpenText now provides Axcelerate Cloud users with more choices than ever to leverage the most appropriate TAR workflow to meet the time, risk, and budget constraints of each project and the preferred workflow of your team.
OpenText eDiscovery solutions have a long history of incorporating artificial intelligence (AI) and advanced analytics to dramatically improve review efficiency and lower costs while ensuring defensibility of process. For more than 15 years we have been the leaders in Technology Assisted Review (TAR) for eDiscovery. While first generation TAR (TAR 1.0) relies on subject matter experts to train the algorithm on a sample data set before review begins, second generation TAR (TAR 2.0) allows the review to commence immediately, saving both time and money. OpenText Axcelerate TAR 2.0, featuring continuous active learning (CAL), learns from all reviewer coding decisions in real time to deliver the most relevant results in the shortest amount of time. Our TAR 2.0 is also paired with a unique contextual diversity algorithm that eliminates the risk of missing relevant documents by surfacing documents from contextually diverse pockets of data. An intuitive TAR interface and workflows reduce learning curves so your team can uncover the most relevant evidence without delay, and visualization tools allow project managers to easily track the progress of review and accurately estimate time to completion.
Whether you choose to leverage the familiar Axcelerate TAR workflow featuring continuous machine learning or try TAR featuring CAL and our unique contextual diversity algorithm, you can be confident that you are maximizing efficiency and accuracy of TAR review for every review scenario.
Other recent Axcelerate enhancements include:
End-to-end eDiscovery support for audio and video (AV) files – Get the most efficient review of voluminous AV content. OpenText’s built-in browser-agnostic AV viewer features intuitive YouTube like navigation as well as the option to transcribe AV materials for simultaneous review of AV content along with transcribed text. Text transcription of AV content enables you to search, code, redact and produce redacted AV content along with traditional text-based files.
Side-by-side document comparison – Choose any two documents and Axcelerate will show you all differences between the two documents (even subtle differences) to speed review of near-duplicates as well as conceptually similar documents.
Self-service data processing – Choose between traditional white-glove data upload and processing to Axcelerate or our new self-service processing and upload where circumstances require immediate review of relatively small volumes of data.
Password bank – Speed processing time and minimize exception files by adding a list of known passwords for use during processing to attempt to decrypt password-protected Microsoft 365 and Adobe PDF documents.
No matter the circumstances of your case, OpenText Axcelerate offers your team the power to maximize efficiency and minimize risk in every matter.
July 2023: What’s New in OpenText Axcelerate CE 23.2
The latest licensed version of OpenTextTM AxcelerateTM is out! This version includes some great additions, including support for Opus 2TM cloud, document translation for licensed customers of Amazon TranslateTM, decryption during ingestion, undo for bulk tagging, and so much more! Let’s take a closer look.
New Features for Axcelerate Review & Analysis
Document Production & Bulk Printing. Both of these features now allow users to select various landscape options.
Visualizer. Now includes ability to export any of the charts within Visualizer to an image format and its corresponding data to a CSV format.
Global Redaction. Now includes an option to exclude terms. Checking the box for Exclude Terms will reveal a new section where exclusionary terms can then be entered.
Redactions. Redaction Reasons and/or redaction associated colors can now be changed across subsets of records. This option can be found under Manage Redactions on the Actions menu within the Analysis page.
Once Change Redactions option is opened, a pop-up window will appear with the available options for the select records.
Opus 2. Axcelerate now supports production records being directly ported over to Opus 2 cloud. Once Opus 2 has been configured to connect with Axcelerate, Case Managers can then port production records over within Axcelerate via the Actions menu within the Analysis page.
A pop-up window will then appear with options for this job where the Case Manager can select production output and metadata.
Documents sent to Opus 2 can be identified via the Sent to Opus 2 Smart filter under Work Product.
Magellan Business Intelligence. Now includes a Data Progress Report that provides a filterable report on all data sets by custodian with details as to document counts and size.
Business Intelligence also now allows for sharing custom dashboards.
Machine Translation. Axcelerate now has the ability to generate machine translations for customers with Amazon Translate licenses (translations via Veritone is also still available). Once Amazon Translate has been set up, case managers are able to enable it for their projects and select a target langue for translation. Please see your OpenText Program Manager for further details.
RegEx Pattern Search. This feature has now allow users to define pattern searches across the addressee fields as well as the Title field.
New Features for Axcelerate Ingestion/ECA
Decryption. 7-zip, office, and PDF files can now be decrypted during ingestion when a list of potential passwords is provided within the Data Source configuration node.
Parsers
Encase Parser. Now supports chat data from MS Teams and Slack.
MS Teams Parser. Now supports the export of Channel names, redactions, edit dates of messages, message deletions, and Urgent and Important flags.
Connectors
MS Teams Connector. Now supports:
the inclusion/exclusion of all channels of a Team by leaving the channel value empty. A row with a channel name supersedes a row without a channel name; and
extracting meeting details (start time, end time, duration, initiator).
Outlook for Mac Connector. Now supports 2016 and 2019 Outlook versions.
MS Sharepoint Connector. Now supports indexing metadata of Recycle Bin items.
New Admin Features
OCR. OpenText MindServer AdminTM now allows for changing the language group that will be used by OpenText CaptureTM. This allows for changing character sets used for OCR to accommodate multi-language data sets.
PostgreSQL. Previous version has been upgraded to version 14 with backport available to 22.4.
Undo Tagging Operations. Administrators can now use a command-line (undo.bat) to undo bulk or single tag operations. This operation is tracked within both the Jobs Processing Smart Filter and Document History detail.
Performance
Did you know… Axcelerate has made substantial improvements to performance over the last few years? See below for more details:
Version
Performance Update
Axcelerate 20.2
Index engines improved to handle 50 million records per engine – x5 increase from original limit! Efficiencies to WordMap for improved indexing, record capacity and search retrieval
Axcelerate 20.4
PST Archival handling improved for quicker handling with less exceptions Index Engine Partitions updated to process simultaneously for faster processing and eliminating need for extra Java heap size
Axcelerate 21.2
New memory manager created to protect against OOM query processing Duplicate hash computation moved to index engine Both searches and Search Query Editor reports in Ingestion are run as Jobs and can be sent to generate in the background
Axcelerate 22.2
Distributed worker hosts can be configured on a single engine for improved handling of larger ingestion jobs Further efficiencies to WordMap for improved indexing, record capacity and search retrieval
Axcelerate 22.4
Memory handling improved to prevent OOM issues during near-duplicate detection
Axcelerate 23.2
Near duplicate detection now computes with multi-threading Ingestion performance improved by increasing index threads from 12 to 32 using distributed indexing, enabling redistribution of index across partition via command-line (reindexdocuments.bat)
October 2022: What’s new in OpenText Axcelerate CE 22.4
In litigation, investigations and regulatory compliance matters, legal teams are under intense pressure to deliver superior results on time and within budget. Staying on top of concurrent matters requires the ability to see the overall status of projects, individual reviewer progress, and the progress of key processes such as overturn tracking and reconciliation. These insights are critical to staff projects effectively, forecast and meet deadline dates, and minimize rework by identifying bottlenecks and catching review discrepancies early.
OpenText Axcelerate 22.4 introduces a new reporting framework based on the Magellan Business Intelligence and Reporting (MBIR) platform. All business intelligence (BI) reports have been transformed in the new platform with additional insights available. Common custom dashboards centered around review productivity will now be available by default in all projects.
CE 22.4 also includes a new user audit logging report so review project managers can monitor review activity by user.
The integration of MBRI eliminates the need for custom configuration of dashboards, enhances usability and provides deeper insights within individual reports with more robust menus. Axcelerate’s new reporting platform is also delivered at no additional costs – clients no longer need to pay for third-party licenses for the legacy reporting features (Qlik).
Additional enhancements with Axcelerate CE 22.4 include:
A new collector for Slack data to improve collection, ingestion, processing and review efficiency of Slack data for inclusive review;
The on-premise availability of the advanced chat viewer for chat support (introduced in Axcelerate OnDemand in CE 22.2); and,
Support for the EnCase EX01 file format to enhance ingesgtion and review all relevant data, whatever the source.
April 2022: What’s new in OpenText Axcelerate CE 22.2
The requirements to collect data inclusively across all sources are more pronounced than ever. The need to include data from smartphones, including chat data is now prominent for litigation and investigations.
Support for the XRY parser
Axcelerate 22.2 introduces support for the XRY parser as an additional tool for collecting smartphone data for use by legal teams to support litigation and investigations and for use by policing and investigative agencies conducting criminal or regulatory inquiries. Supported data types include SMS, MMS, loose files, chat, geolocation data and browsing data including history and searches.
Enhancements to the Cellebrite parser
The Cellebrite parser, first supported within Axcelerate in July 2021 has also been enhanced to include geo location data, browser data, and notes. Other Cellebrite enhancements include that SMS/MMS exchanged with the same participant are now consolidated in one chat and each voice call is now displayed as a separate document.
Additional features in Axcelerate 22.2 enhance the protection of sensitive data and the ability to audit overturns.
RegEx pattern editing – Customize existing pre-configured RegEx patterns by editing an existing pattern instead of creating from scratch. This allows custom patterns to be fully supported with their own search filter by replacing an existing pattern that is already embedded in the search filters to streamline the detection and redaction of sensitive data to aid compliance with data privacy laws, improve PII detection for subject rights requests including DSARs and identify affected data in breach response investigations.
Overturn reporting links to source data – Derive maximum value from overturn reporting by viewing the overturned documents in the results list to see the specific tagging changes. Filter by individual reviewer and key criteria including privilege, responsiveness and issues to see where overturns are occurring to catch issues early and avoid rework later. Instead of just seeing that overturns have occurred, the source data can be easily accessed and audited for enhanced insights.
January 2021: What’s new in OpenText Axcelerate CE 21.4
Greater accuracy in detecting personal data is more important than ever due to cyber security threats, such as data breaches, data privacy mandates and escalating regulatory compliance requirements. To mitigate risk to the organization, swift and accurate identification of personal data is critical. However, many organizations approach it ad hoc, necessitating an efficient approach.
Axcelerate CE 21.4 introduces enhanced RegEx for easier, faster and greater accuracy in PII detection:
RegEx has been decoupled from the redaction utilities for more direct access within Axcelerate 21.4. The number of pre-configured strings for personal data have been expanded. This makes it faster and easier to discover and redact sensitive data within the review process to avoid passing unredacted personal data to opposing council, to find and isolate personal data involved in data breaches, to redact the data of third parties as part of subject rights requests, and more.
Additional features in Axcelerate CE 21.4 designed to improve review efficiency and drive down the cost of eDiscovery include:
Overturn reporting to expedite review by helping case managers to catch coding inconsistencies early on to standardize coding decisions and avoid significant rework later.
Chat attachment previews to address the fact that opening individual documents to assess their content is among the most time-consuming of review tasks. Chat attachment previews allow reviewers to focus their time on attachments that appear to be relevant and avoid time inspecting attachments that are not relevant thereby substantially improving chat data review efficiency.
June 2021: What’s new in OpenText Axcelerate CE 21.2
Legal teams and law firms are under pressure to contain the cost of eDiscovery against rising data volumes and new forms of data such as chat. Axcelerate CE 21.2 provides enhanced control and automation to start review sooner and enhanced chat, data sorting, and batching capabilities to complete review faster.
Update 1: Enhanced control and automation to start review sooner
Driving down the cost of eDiscovery requires a holistic approach to eliminating process lags and maximizing efficiency across all stages of a project. Axcelerate CE 21.2 introduces enhancements to improve control and automation of left-side tasks on the EDRM to get to review sooner:
Customize project welcome emails to better provide context for reviewers (available for Axcelerate OnDemand and Private Cloud);
Run searches as jobs to keep working while large searches run in the background; and,
Automatically decrypt Azure® RMS data via the Microsoft® Information Protection SDK® to quickly expose this data for processing.
Update 2: New tools to complete review faster
Review comprises 70% of total eDiscovery project costs. Every capability that helps speed the review process has a material impact on containing costs. Axcelerate CE 21.2 includes the following features to complete review faster:
Sort data by word count to better eliminate non-relevant data such as images with alt text; and,
Group batches by any data field to better align data to the expertise of individual reviewers.
Update 3: Tame unwieldy chat data
Reviewing chat data can take significantly longer than other forms of data because of its volume and structure. Axcelerate CE 21.2 introduces new capabilities to review chat data faster with greater precision:
Break down chat histories into manageable blocks of time to narrow the volume of data that requires review and make review easier;
See chat attachments such as links, images and audio/video files to include related data faster; and,
Connect loose chat files for easier inclusion.
Axcelerate drives down the cost of eDiscovery through analytics and automation. Axcelerate CE 21.2 builds on these capabilities to further help legal teams and law firms to streamline processes before review can begin and to help speed review processes as well.
Update 1: Axcelerate Investigation drives faster and richer ECA – now available OnDemand
The Axcelerate Investigation platform–first released in October 2020 and part of the integrated OpenText™ Axcelerate™ investigation and eDiscovery solution–goes beyond traditional ECA tools to assist teams to find the facts quickly for active or anticipated litigation and investigations. Axcelerate Investigation combines robust collection, processing and culling with powerful front-loaded analytics in a single solution. Legal teams gain early insight into their data leveraging advanced analytics, minimize resources and costs, and maximize efficiency. A single platform, Axcelerate Investigation reduces potentially error-prone data transfers common with multiple point solutions and also reduces–or eliminates altogether–time-consuming and costly downstream document review costs. When full review and production of data is warranted, all data and work product can be automatically uploaded directly from Axcelerate Investigation to Axcelerate Review & Analysis OnDemand.
Axcelerate Visualizer, first introduced in October 2020, brings data analytics into focus for rapid insight into matters of all sizes and complexity. Axcelerate Visualizer Heat Maps expand on these capabilities by introducing flexible visual associations amongst analytics tools for greater visibility into the relationships, patterns and anomalies within the data.
Axcelerate Visualizer Heat Maps expand on these capabilities by introducing flexible visual associations amongst analytics tools for greater visibility into the relationships, patterns and anomalies within the data. Visualizer Heat Maps present new opportunities for insights that were previously impossible, or highly manual and time-consuming to derive. For example, reviewers can see file types overlaid with MIME types, or file sizes etc. for a multi-dimensional understanding of data or fact versus opinion ratings can be superimposed by custodian to better understand which custodians are prone to unsubstantiated assertions, and more.
Update 3: Near native Excel, additional efficiency enhancements and expanded connectors
Axcelerate CE 21.1 also introduces the integrated conversion of Excel files to expedite and simplify the review and redaction of this often-critical file type. Axcelerate CE 21.1 adds extensive and flexible redaction capabilities to help assure that privileged, personal or other sensitive data within Excel files can be effectively remediated with greater ease and assurance.
Other review efficiency enhancements in Axcelerate CE 21.1 include new tools for reviewing data in context so reviewers can choose how they want data to be ordered (e.g. by Bates number), and enhancements to the review progress and reviewer productivity reports so project leads can better deliver projects on time and within budget. Axcelerate’s extensive data source connectors have been expanded further with CE 21.1 – new connectors for WebDAV™ / Druva™, Google™ Calendar™, Google™ Cloud Storage™ and AWS™ S3™ have been added.
Update 1: Axcelerate Investigation drives faster and more comprehensive early case analysis
With an increase in regulations, ESI types and data volumes, and data privacy mandates, efficiently assessing data and finding the information that will tell the story quickly yet comprehensively is critical to making decisions early on to manage costs and risk.
The all-new Axcelerate Investigation platform, part of the integrated OpenText™ Axcelerate™ investigation and eDiscovery solution, goes beyond traditional ECA tools to find the facts quickly for active or anticipated litigation. Axcelerate Investigation drives effective early case assessment and analysis by combining data collection, processing and culling capabilities with front-ended analytics to swiftly find facts and patterns for rapid insight and decision-making. These include stackable metadata filters, powerful text analytics and predictive analytics. If a full document review is warranted, data can be transferred seamlessly to the full Axcelerate cloud.
Axcelerate Investigation is also ideally suited to support a broad range of other types of investigations such as compliance, human resources, M&A due diligence, C-suite vetting and more.
Update 2: Axcelerate Visualizer further streamlines workflow
Axcelerate’s new Visualizer dashboard brings data analytics into focus for rapid insight into matters of all sizes and complexity. The new feature allows reviewers to expedite the ability to drill into the analytics faster to find facts and uncover responsive data with greater speed and precision. Axcelerate Visualizer incorporates communications, custodians, file mime types, office flags, phrase analytics, and more.
Axcelerate Visualizer is highly customizable. Reviewers and investigators can choose what data is displayed, how data is presented (e.g. bar graph, pie chart, etc.) and the level of detail for each vantage point into Axcelerate’s analytics. Axcelerate Visualizer is available across the Axcelerate platform including Axcelerate Investigation and Axcelerate Review and Analysis.
Update 3: Axcelerate introduces support for chat
With an increasingly remote workforce, chat has become a prolific part of organizational communications. Axcelerate CE 20.4 introduces the ability to parse data from chat platforms by transposing the data to align to the Axcelerate chat format.
Once ingested into Axcelerate, chat data and related content such as reactions and edits are displayed in a familiar chat style layout for easy review. What’s more is that Axcelerate treats chat like any other potentially critical data. Chat data is integrated into Axcelerate’s smart filters with its own dedicated filter and analyzed in tandem with all other data as part of concept groups, phrase analysis, text analytics and predictive analytics.
Axcelerate CE 20.4 includes a pre-configured parser for Microsoft® Teams® and a generic chat parser for virtually any other chat platform. Additional pre-configured parsers will be rolled out with subsequent releases.
Update 4: Additional reporting, usability, performance and connectors
Axcelerate CE 20.4 also includes new reports to quickly assess reviewer productivity and review progress to improve the ability to manage projects and address bottlenecks. PST extraction has also been enhanced for improved speed and reliability and export templates have been introduced to reduce effort on repeated workflows with similar criteria. New connectors for Gmail™ and Google™ Drive™ are also included to expand Axcelerate’s reach across data sources.
The new UI provides more than a usable interface. It surfaces contextual insights in a highly visual display that is easy to navigate and allows reviewers to quickly understand the content under review.
Update 2: New entity identification with OpenText Magellan integration
Axcelerate Release 16 EP7 introduced integration with OpenText™ Magellan™ text analytics for sentiment analysis and automated entity identification for people and places. Auto-identification and extraction of entities (organizations) help reviewers answer “who” and “where” questions and home in on relevant content faster.
Enrichment jobs now automatically enhance documents for sentiment and all types of entities with a single operation. In addition to sentiment tonality pie charts, sentiment indicators are automatically ranked within documents so reviewers can zero in on the top positive and negative statements within each document. Statements are also rated as to whether they are based on opinions or facts to help reviewers assess the voracity of interesting comments.
Update 3: Automated document summaries powered by Magellan
Automated document summaries make the efficient review more efficient, eliminating the need to open individual files and review them to figure out what they are about. Individual sentences are assessed within each document and the most representative content is assembled into a concise paragraph for quick insights.
Update 4: “Find more like me” with Predictive Search
Axcelerate’s new Predictive Search provides a “find more like me” capability to easily home in on relevant content. Documents that are known in advance to be highly relevant, or the best exemplars uncovered in initial search results, are compared against the entire corpus to quickly surface documents with similar content. Predictive Search can also be used as a QC tool to quickly assess whether the final discovery set is inclusive of all relevant content.
Update 5: Negative proximity operator
The new negative proximity operator is a powerful tool for isolating homonyms and terms that often appear in signature lines, such as attorney-client privileged, enhancing efficiency and search effectiveness by reducing, or eliminating altogether, false positives, thus minimizing the number of documents that require review. Reviewers can stipulate that keywords have to be within a specified number of words to other keywords to be surfaced as a positive hit, substantially reducing false hits.
Axcelerate CE 20.2 delivers an intuitive UI with simplified navigation and Predictive Search, enhanced entity extraction, document summaries, and a negative proximity operator each of which contribute to review efficiency. Together they deliver a multiplier effect to further elevate Axcelerate as a leading end-to-end eDiscovery solution on a single platform.
In the glamorous and historic heart of Monaco, the ABB FIA Formula E World Championship Monaco E-Prix unfolds, a spectacle that captivates the world. This event is more than just a race. It’s a testament to the power of technology—specifically software—in shaping the future. The partnership between OpenText and Jaguar TCS Racing is a collaboration that embodies the fusion of historic elegance and modern speed, powered by the transformative capabilities of real-time data analytics.
Historic track, modern technology
The track, known for its demanding corners and breathtaking scenery, requires more than just speed. It demands precision, adaptability, and strategic foresight. This is where OpenText’s expertise in information management becomes crucial. By harnessing vast streams of data generated during the race, we provide Jaguar TCS Racing with a dynamic competitive edge.
Our real-time data analytics platform OpenText™ Vertica™ and our unstructured data analytics platform, OpenText™ IDOL ™ ,enable the team to make informed decisions in the heat of the moment. Every fraction of a second counts on the Monaco circuit, and the speed of analytics can mean the difference between points, podiums, and victories. Whether it’s adjusting strategies to account for changing weather conditions or optimizing energy usage to capitalize on overtaking opportunities, OpenText technology ensures that Jaguar TCS Racing is equipped to excel.
But our impact extends beyond the immediacy of race day decisions. The insights gleaned from our analytics drive continuous improvement, allowing the team to refine their approaches with each lap. This cycle of analysis, adaptation, and advancement is emblematic of the OpenText commitment to innovation and our determination to overcome challenges through expertise.
More than glamour, it’s trust and transparency
In this partnership, OpenText also embodies trustworthiness and transparency. We provide Jaguar TCS Racing with the tools to navigate the complexities of Formula E with confidence, knowing that the data they rely on is accurate, secure, and timely. This reliability is paramount in a sport where the smallest margins can have significant consequences, not just for the race at hand, but for the future of automotive technology and environmental sustainability.
Moreover, the collaboration between OpenText and Jaguar TCS Racing at the Monaco E-Prix showcases our shared competitive spirit. In the face of one of motorsport’s greatest challenges, we stand together, united in our pursuit of excellence and innovation. Our technology does not merely support the team; it is an integral part of their journey, driving them toward success.
As we look to the horizon, the Monaco E-Prix is more than just a moment in time—it’s a beacon of what’s possible when technology and ambition converge. OpenText is proud to be at the heart of this convergence, providing Jaguar TCS Racing with the data analytics capabilities they need to navigate the future, both on and off the track.
Monaco and beyond
Our journey doesn’t end with the Monaco E-Prix. The race toward innovation continues, and we’re excited to extend an exclusive invitation to all our enthusiasts, partners, and customers to delve deeper into the world of Jaguar TCS Racing and OpenText. Join us for a Virtual Garage Tour on May 23 ahead of the race in Shanghai, where you’ll get an insider’s look at the cutting-edge technology and strategies propelling our partnership forward.
This virtual event promises a glimpse into the heart of Jaguar TCS Racing operations. You’ll experience firsthand the intertwining of data and analytics, the relentless pursuit of performance optimization, and the spirit of collaboration that drives our team to new heights. It’s an opportunity to witness the intersection of technology and racing excellence, to ask questions, and to engage with the minds behind the machines.
Register now to secure your spot for the OpenText and Jaguar TCS Racing Virtual Garage Tour on May 23. Discover the power of partnership, the thrill of Formula E racing, and the innovative technologies that are driving us towards a brighter, faster, and greener future. We look forward to welcoming you to our world, powered by the unparalleled capabilities of OpenText’s real-time data analytics. Join us, and be part of the race towards innovation.
Sustainability is a growing priority for businesses and customers alike. As companies focus on their sustainability and environmental social governance (ESG) impacts, the IT landscape is faced with increasing demand to have sustainable business practices. The environmental effects of software tend to be out of sight and out of mind: software does not directly emit greenhouse gas–but the hardware running it all does…and with real world impact. Most IT sustainability goals include reducing Scope 2 and 3 greenhouse (GHG) emissions to reduce their digital carbon footprint, the GHG emissions produced by digital technology resources, devices, tools, and platforms. Your digital carbon footprint includes emissions from the software delivery process–planning, coding, building, testing, release–in addition to energy consumed from customer use. So, how green is your application delivery software and what steps can you take to achieve your sustainability goals?
1. Improve the efficiency of your software delivery
Decrease waste throughout your software delivery process with real-time insights that help reduce redundancies, rework, bottlenecks, overproduction, time, and costs to ultimately reduce your digital carbon footprint.
Identify negative trends and monitor change impact with before and after testing.
Verify change impact on digital carbon footprint and identify GHG regression trends by validating the infrastructure and time required to process the same workload before and after changes.
2. Maximize your available resources
Increase test efficiency with AI-powered performance, functional and automated tests–only execute necessary tests to reduce your delivery toolchain’s carbon footprint.
Maximize your testing throughput from a given infrastructure with performance testing.
Reduce the footprint of your system under test through virtualization.
Decrease your individual energy output with automated tests executed on the cloud.
Track how servers are spawned up to identify opportunities for improvement and efficiently manage backups.
3. Strategically manage your portfolio
Plan your upcoming initiatives to optimize your investment mix and deliver the greatest value.
Maximize resource efficiency through what-if analysis scenario planning.
Manage, track, and monitor your sustainability initiatives and progress being made toward achieving your sustainability goals.
4. Support remote work
Effectively plan and execute digital transformation.
Reduce employee commutes and eliminate related GHG emissions.
Reduce paper use by eliminating information silos in your organization and utilize tools that support communication and collaboration in the bi-modal and remote work landscape.
Shift from manual (paper documented) to automated testing, utilizing tools that enable digital offline testing.
OpenText DevOps Cloud solutions provides key capabilities that Gartner identifies as opportunities to advance ESG goals across the business:
Automation to reduce resource-intensive activities
Artificial intelligence (AI) and natural language processing to predict the impact of climate on business
Advanced analytics to capture real-time performance analysis
Cloud to transform processes and enable remote work
To meet your sustainability goals head on, you need the necessary tools in place, the ability to track new processes or initiatives, and the right tech implemented and used properly. OpenText DevOps Cloud solutions can enable organizations to reach net-zero targets, reduce energy consumption, and contribute to a sustainable future.
Take control of your sustainability goals and accelerate your software delivery with planning, testing, quality, and AI-powered automation available OpenText DevOps Cloud solutions.
As I return home from OpenText World Europe, I am feeling invigorated by the powerful conversations that occurred throughout the week. I am also feeling inspired by the incredible sights and experiences that come with traveling this beautiful world of ours and am once again reminded of the critical role we play in protecting it.
I read Before It’s Gone by Jonathan Vigliotti while traveling, and it is a story for every small town facing climate change—from fire, water, air, food, and earth.
Today, April 22, is Earth Day, an opportunity to not only celebrate just how extraordinary our world is but reflect on the action we must all take to ensure a healthier planet, and a brighter future. Something that we remain deeply committed to as an organization.
At OpenText, we believe that it is essential to understand the urgent environmental challenges and create a future that is sustainable and inclusive. Through the OpenText Zero-In Initiative, we have a Zero Footprint focus, working diligently to achieve our sustainability goals as a company, while helping our customers to do the same.
Essentially, how do you achieve maximum impact with the lightest touch to the environment?
At OpenText World Europe, I spoke extensively about the power of AI, the importance of adopting an AI mindset, and the new AI-powered innovations that we are proud to offer our customers. As I reflect today on Earth Day, I whole-heartedly believe that the revolutionary potential of AI can not only help us to accelerate our Zero-In program but can ultimately help reshape our world into a more sustainable one.
What we are building at OpenText impacts humanity and impacts the world. We believe that our products help to address environmental and societal challenges by bringing forth technologies that enable visibility and action. From the basics of digitization to what we can do with observability to anticipate the regulations to come, OpenText innovates with our customers’ sustainability needs in mind. We remain steadfast in our commitment to offering innovative climate solutions to help our customers unleash exponential innovation—through information, automation, and the cloud.
We are also partnering with our cloud partners to gain more energy efficiency and to seek more hydro- and wind-powered infrastructure.
The below illustrates some of the key sustainability wins stemming from OpenText products last year. I look forward to sharing more results like these in our upcoming Corporate Citizenship Report, which will be released in August.
By investing in innovative technologies that contribute to a net-zero future, we can help our customers move from pledge to progress. Companies like Method, Heineken, Sutter Health, and so many more are already reducing their footprint thanks to OpenText solutions—and their success is just the beginning as we continue to add new innovations to our portfolio.
Here are a few more of the products that are helping customers address environmental challenges while improving efficiency:
Our Cloud FinOps solution offers reporting for scope 2 and 3 emissions produced by both a customer’s cloud and owned data centers. This is the first step of our GreenOps solution to help customers reduce their IT carbon footprint.
OpenText Active Risk Monitor gives customers visibility into their supply chains, including a view into their suppliers’ ESG compliance details, which can support a shift towards more sustainable, ethical business practices.
OpenText Vertica runs on less hardware due to the optimization of products and data compression, resulting in a smaller carbon footprint.
With OpenText LoadRunner Cloud, each customer receives its own segregated tenant on a multi-tenant cloud platform, rather than running cycles on their own dedicated servers, resulting in less energy usage.
OpenText UFT Digital Lab allows developers to simulate in a software environment versus physical devices, which means less infrastructure, less power consumption, and ultimately, a smaller carbon footprint.
Our Path to Zero
As we continue our zero-in journey, it’s important that we recognize that the path to zero requires collective action—we all have an important role to play in understanding how our daily choices can have a lasting impact.
The great news is that OpenTexters are already doing tremendous work in helping us to zero in on our zero footprint goals, and I am pleased to share today that OpenText has recently been recognized as one of Canada’s Greenest Employers for the very first time. This achievement is a direct testament to the passion and dedication of our employees and comes on the heels of several impressive ESG-related accolades, including qualifying as a constituent on the Dow Jones Sustainability Index and receiving a “AAA” rating from MSCI.
To quote Bertrand Piccard during last week’s opening keynote: “The impossible does not exist in the reality, it exists only in the mindset of the people that believe that the future is going to be an extrapolation of the past—which, of course, is never the case. The future is unpredictable, uncertain, and it requires us to be creative, to be innovative, and to be pioneers.”
We need to keep challenging ourselves:
How do we achieve maximum impact with the lightest touch to the environment?
How can we build key and essential features for our customers to achieve the Path to Zero?
And lastly, how can we lead as individuals, and take personal action for a healthier planet?
It is not what we leave behind, it is what we send forward. Happy Earth Day.
Fax machines, once ubiquitous in office environments, have long been associated with paper waste, energy consumption, and inefficiencies. However, with the advent of digital transformation, organizations are increasingly turning to cloud fax solutions to modernize their operations while embracing sustainability practices.
In today’s digital age, relying on paper-based communication like traditional faxing is not just outdated—it’s harmful to the planet. The massive paper waste, energy consumption, and carbon emissions from fax machines are unsustainable. But with OpenText’s Cloud Fax, we’re flipping the script with a more sustainable and environmentally friendly alternative.
Paperless operations: Cloud faxing eliminates the need for paper-based fax transmissions, reducing the consumption of resources such as trees, water, and energy used in paper production.
Energy efficiency: Unlike traditional fax machines that require constant power consumption, cloud fax solutions operate in energy-efficient data centers, minimizing carbon emissions and energy usage.
Reduced waste: Paper accounts for around 26% of total waste at landfills. By eliminating physical fax machines and paper waste, organizations can contribute to waste reduction efforts and promote a circular economy.
Global accessibility: Cloud faxing allows for seamless and secure communication from anywhere, reducing the need for physical transportation of documents and mitigating carbon emissions associated with transportation.
Scalability and flexibility: OpenText’s cloud fax solutions offer scalability and flexibility, enabling businesses to adapt to changing needs without the constraints of physical infrastructure.
What can you do?
Two words: print less. Of course, that’s far easier said than done when it comes to fax—unless you digitally transform your workflows, and then it will happen automatically. Imagine receiving faxes that are delivered direct to their recipients’ workstations or mobile devices, then printed only on demand. Imagine anti-fax-spam protocols. Imagine data from faxes being digested with optical character recognition (OCR), parsed with artificial intelligence (AI) capture, and then automatically plugged into relevant databases.
Save green while going green: Switching to digital fax solutions isn’t just about saving trees—it’s about saving money. These solutions cut down on consumables, save staff time, and eliminate the need for dedicated fax phone lines, paying for themselves with efficiency and savings.
By embracing digital transformation and leveraging innovative communication solutions, businesses can not only enhance their operations but also contribute positively to the environment.
Join us in creating a more sustainable and digitally empowered world, not just on Earth Day but every day. Let’s make a difference together!
As we close the book on another inspiring chapter at OpenText World Europe 2024, held in the vibrant cities of London, Munich, and Paris, let’s reflect on the pivotal conversations and innovations that are reshaping the future of ADM and DevOps through the power of AI.
Crafting clouds: The next internet era
Our CEO and CTO, Mark J. Barrenechea, brought to light a transformative vision: “It is not an internet anymore. It is an internet of clouds.” This paradigm shifts how we perceive and interact with cloud computing, emphasizing a network of intelligent, interconnected clouds that enhance communication across platforms and services. In this new era, our enhanced OpenText DevOps Cloud Aviator acts as a seamless facilitator, ensuring cloud-to-cloud interactions are as efficient as they are innovative.
Embracing AI: A new frontier in technology
Mark’s compelling directive, “Start with AI and carve your course backward,” reminds us that AI is not just a tool but a foundational element in redefining operational efficiencies and strategic decision-making. The latest update to DevOps Cloud Aviator, now equipped with an AI-driven “ask me anything” smart assistant, exemplifies this shift. This feature simplifies complex data interactions, offering conversational and intuitive access to information, which enhances user experience and accelerates productivity.
A fortress of security and data sovereignty
Echoing the importance of robust security measures, Muhi S. Majzoub, our EVP & Chief Product Officer, highlighted our unwavering commitment: “We govern, secure that information for you…” This philosophy is ingrained in every layer of our product development, ensuring that as we innovate, we also protect. With stringent data governance practices and a focus on compliance, we build trust with our users, ensuring their ventures into AI and cloud computing are secure.
Elevating human potential
At all three events, we highlighted how AI’s integration across our platforms is not just enhancing operational efficiency but is fundamentally elevating human potential. This shift toward more intelligent systems allows our users to achieve greater productivity and make more informed decisions, underlining AI’s role as a catalyst in transforming business landscapes.
Our commitment to Europe
“We are 5,000 experts strong across 21 countries in Europe,” declared Mark, emphasizing our deep commitment to the European market. This regional focus ensures that we meet the unique compliance and data sovereignty requirements of our European clients, providing tailored solutions that respect local regulations and needs.
The journey continues
As we look forward, the integration of AI in ADM and DevOps is not just a trend but a trajectory towards more insightful, efficient, and secure business practices. With initiatives like DevOps Cloud Aviator and our commitment to security and regional support, OpenText is at the forefront of this technological evolution. Thank you for being a part of OpenText World Europe 2024. As we continue to innovate and redefine the technological landscape, we invite you to join us in this exciting journey toward a smarter digital future. Meet us online or in-person at our next event, STAREAST 2024, where we’ll showcase DevOps Aviator again.
Ready to explore how these insights can transform your business operations? Contact us today, and let’s pioneer the future together!
Greetings from Mav, trusted partner for your AI journey. This AI-generated moose has been on the hunt for threats and keeping security top of mind. Every technology has dual usage and Mav is here to keep us all informed.
You: How has AI evolved the landscape of security?
MAV: Unfortunately, the amount and frequency of fake information has skyrocketed. The same tools that help to generate images and ideas for an innocent brainstorm are being used to create impersonations and more ransomware attacks. Cybersecurity needs have heightened.
You: Should I trust AI?
MAV: Like any other technology, there is always dual usage. Malicious activities will happen, and it’s better as cybersecurity experts to be in-the-know than not.
You: What can we do to protect our businesses?
MAV: Don’t ignore the need to protect your employees, your data, your infrastructure. General awareness and education on the potential threats to your employee base is a must. Take a proactive stance to simplify your security stack to give your business the best visibility and protection.
New era of concern
In 2023, the world saw a 72% increase in data breaches from 2021, which held the previous record. Meeting risk and security standards are table stakes for companies of all sizes. In fact, cybersecurity risks are more prominent than ever. A whopping 95% of cybersecurity issues are traced to human error, and 93% of cyber leaders believe global geopolitical instability is likely to lead to a catastrophic cyber event in the next two years.
In this new era, AI powered cyber-threats are on the rise. New challenges include criminal AI-based social engineering, realistic content generation, a rise in attack scalability, and enriched adaptive evasion. In fact, there is a whole practice of “Dark AI” prevalent on hack forums. Popular LLMs are programmed not to respond to illegal and controversial prompts to remove ethical safeguards, but criminals are jailbreaking, and malicious actors are clearly using AI tools.
It’s time to embrace the new era of concerns.
Market dynamics –> Go-forward security priorities Security fragmentation –> Integrated security and governance Increasing frequency of cyber attacks –> Security posture management Ransomware and data breaches –> Faster incident response Get AI ready –> Secure information management Security skill shortage –> Secure by design
New era of protection
The security posture for the future is thinking about all the elements: X–Ingestion everything from device endpoints to networks to applications to web and email, embrace the challenge to protect it all through robust identity access management and data security. D–Detection quickly and repeatedly perform tasks to find vulnerabilities (e.g., map to schema, telemetry enrichment, parsing, analytics, cross-correction, and alert prioritization) R–Response ensure there are defined ways to triaging issues, automating workflows, hunt and investigate, providing surgical responses and performing schedule scans.
For enterprises of all sizes, billions of events are process daily. To be proactive versus reactive, we must let the machines do the work. Machines can help us take it to the next level: • Autonomous asset discovery–finding points of vulnerability across an IT estate • AI threat detection–anticipating malicious acts and protecting against them • Rule-driven and machine-learning responses–at scale, using machine learning and predictive analytics to predict deep fakes
Getting AI-ready means to lead your organization through understanding, accepting, and proactively protecting against new types of security concerns. Learn more about how you can get started with OpenText™ Cybersecurity. Our portfolio of solutions is unique in how we anchor on information security as our DNA, how we focus on real time threat intelligence, how we offer a high-efficacy end-to-end portfolio, and how we have a seamless platform experience.
Information management is a pre-requisite of AI. Help your organizations ensure cybersecurity protection is omnipresent along with AI. The future of machine vs. machine will heighten the need for cybersecurity across all domains.
Greetings from Goose, a trusted partner for your AI journey. This AI-generated goose has been the champion of seven-star experiences, and over the last few months he’s focused in on the needs and wants of the next generation of developers.
You: How many lines of code do you think it takes to run a modern car or an airplane?
GOOSE: Probably more than 100 million lines of code.
You: Crazy, why so many?
GOOSE: Because we can. But more importantly, because autonomous driving and flying entail machine-led decisions that depend on many, many lines of code with logic.
You: For job security, as a developer, this is a good thing, right?
GOOSE: Honk! It is, and it isn’t. The fact that many companies are becoming software companies means there is going to be a tsunami of innovation. The increasing significance of software in so many industries means that we will reach labor and talent constraints for developing applications.
You: So what should we be thinking about?
GOOSE: First, embrace that software development and delivery is a lifecycle that has to be managed at scale to provide a solid foundation for developers. Your developers benefit from various tasks in the lifecycle being on a single platform for software development – planning, requirements gathering, design, coding, testing, development, deployment, maintenance.
You: But what happens when we don’t have enough resources to innovate?
GOOSE: You then need to embrace what generative AI can do for your software engineers with today’s tools. Find code blocks, suggest bug fixes, auto-generate test cases, auto-generate technical documentation, bring in opensource code, localize, etc.
You: What about security?
GOOSE: Honk again!! That’s an important part of elevating the developer experience. Code security, screening, and recovery must be implemented throughout the lifecycle.
You: Does all of this really make it a better experience for my developers?
GOOSE: When you let the machines do the work, you can 10x the productivity of your developers. The real unlock is taking away the mundane tasks, and letting your smart engineers focus on creative problem solving and innovation around the next thing.
From DevSecOps to nextgen experience
Amongst developers, the notion of DevSecOps is not new. But with the boom of AI, there is a new conversation to be had. Can DevSecOps create new value for the company? Or is the real value to be gained in retaining top talent in software engineering by creating productive work environments?
Jobs are abundant and jobs are being made obsolete. The next generation of developer experience needs to look beyond current roles to future roles. Generative AI can now find bugs, generate code patches, create test cases, and perform the tests; the human roles must also evolve from point tasks to software delivery. Strategy, planning, interoperability, and dependencies across applications and multiple data environments become the higher value tasks. When the tools assist with the basics, “developers” will graduate to “software engineers” and their needs will change. Lines of code become the job of the machine, and the humans focus on creative design, quality assurance, and resource management.
Next, the scenarios become more complex. When a single vehicle or aircrafts requires 100 million lines of code to operate, there are many points of potential failure. What use to be functional and performance testing of an application will graduate into a new category of quality assurance. • How do 10 to 20 different applications work seamlessly together to execute a task? • How do we run end-to-end testing down the assembly line to ensure it does? • How do we ensure code-security scanning is embedded throughout the process? • How do we test against functionality, performance and load, vulnerabilities and threats in the most optimal sequence and manner? • How must we evolve product management to incorporate software upgrades and releases? What should be automated and what should require human decisions?
When we let the machines do the work and the paradigm shift happens, understanding developer productivity is going to be key. Ask yourself and your engineering teams these questions: • How do we measure productivity today? • What should we measure to drive more creativity and innovation? • What does good look like beyond completion of the task? • What can be done by the machine vs. the human to improve that productivity? • What does developer experience at scale look like for us?
Learn more about how you can get started with OpenText™ ValueEdge™, OpenText™ Fortify™, and OpenText™ DevOps Aviator. These new solutions enable businesses to reimagine the developer experience and embrace code security. The future of autonomous decisions and letting the machines do the work with AI assistants will shift the world of software lifecycle management. The profession of software engineering will continue to evolve at rapid pace. Don’t be left behind.
Greetings from Viper, trusted partner for your AI journey. This AI-generated hummingbird has been busy buzzing around in the clouds, figuring out how companies can best manage data and devices at the edge. Good thing there is more nectar to fuel her up, she’s going to need it!
You: What is IoT?
VIPER: Well, if IoT was an emoji or an expression, it would be: (1) a cloud with legs, (2) a tornado of devices, or (3) an air-tag tracking anything (keys, dog, purse, avocado). Which do you think it is?
You: LOL, I don’t know. What really is the “internet of things” nowadays?
VIPER: I think it’s the combo now. Five years ago, IoT was about smart devices (i.e., smart refrigerators, smart cars, smart light bulbs, etc.) where the power of computing and software was being embedded in everyday devices. Today, those things are collecting and sensing all types of information and data that can be more holistically managed to benefit a business.
You: What is the edge?
VIPER: When I buzz around, my flight paths are now really wide. What I mean is, the affordability of sensors, smart devices, and gateways is allowing for many things outside of the data center to be connected back to the cloud through the public internet.
You: Why does this matter?
VIPER: Technology is allowing us to advance from smart things to smart ecosystems. Think about smart cities, next-generation healthcare, intelligent manufacturing, autonomous driving. These all require some level of collecting, tracking, monitoring, and logic for decision making.
You: What does this mean for my business?
VIPER: It means that you can reimagine your business through the eyes of how an ecosystem powered by IoT platforms and services help you manage work differently and more effectively. Think about all the assets that your business owns, think about the movement of those assets, think about how sensors can provide insight, and now you can design your own smart company.
Autonomous decisions and workflows
The cost efficiency of technologies that are available today for tracking any “thing” has shifted the paradigm of IoT. From QR codes to RFID tags to Bluetooth devices, the ability to track and trace physical assets has become much easier. Therefore, any asset-intensive businesses or ones with high value assets (i.e., products, materials, equipment) have an opportunity to improve efficiency and effectiveness through technology.
Tracking and traceability is not that interesting on their own. But when software can help collate the information from the devices and marry that together with other sensory data to enable business decisions, the power of IoT goes to another level. From product authentication to precision supply chain management to risk mitigation, real-time information and insights through IoT platforms can bring business owners a new sense of relief and control.
Reimagine your IT environment map with IoT and redesign your knowledge flow:
Inputs
• Assets: high-value assets in your supply chain (i.e., expensive materials, finished products) • Devices: sensors throughout your work environment that collect monitoring data (e.g., temperature, light, color, proximity, etc.) • IT equipment: mobile devices used by your field workers
Knowledge flow design
• Track & authenticate: What needs to be tracked? What needs to be real-time? What information needs to be bi-directional? When and where does it need to be authenticated in the movement to avoid fraudulent activity, for quality control, or for damage-prevention? • Find & manage: How can real-time findability change the current workflow of people? What type of information needs to be proactively managed? What decisions should be automated versus being manual? Where can you remove potential human error? • Monitor & predict: What type of dashboards do various roles around the company require? What IT devices do your field workers need this on? How can predictive insights and analytics help you better manage business? Where can AI help to advance your employees?
Technology solution needs
• Tracking and tracing • Internet connectivity • APIs for data flow • Cloud data storage • Cloud data processing • Insights & intelligence by roles • Custom applications for next jobs
Learn more about how you can get started with OpenText™ Aviator IoT. This new solution helps businesses that want to reimagine work and embrace autonomous decisions. Let the machines do the work!