Are you ready to revolutionize the way you manage HR documents and processes? We’re thrilled to announce the latest update of OpenText™ Extended ECM for SAP® SuccessFactors® 24.2. Packed with exciting features and enhancements, this release is set to elevate your HR game to new heights!
1. AI Takes Flight:
Gone are the days of manual searching through endless HR documents. With the introduction of OpenText Content Aviator, your HR department can now effortlessly find answers to queries. Simply ask a question, and Content Aviator will swoop in, detect the language and provide the answer in the same language. It’s that simple!
HR can now effortlessly find answers to queries with AI.
2. Future Automation:
Speeding up HR document processes has never been easier. Scheduled Bots jobs, once confined to a ‘classic’ HR business administration page, are now seamlessly integrated into the standard user interface. Say hello to increased efficiency and productivity!
Scheduled Bots jobs are now seamlessly integrated into the standard user interface.
3. Customizable Application Page:
Make a lasting impression with a personalized touch. HR Administrators can now customize the application landing page with their corporate logo and program name. Aligning the background color with your organization’s branding will deliver a unique touch.
HR Administrators can now customize the application landing page with their corporate logo and program name.
4. Expanded Language Support:
Breaking down barriers in communication, we’re introducing three new languages to support business administration and managers as they interact with employees. Embrace diversity and inclusivity within your HR processes!
5. My Team’s To-Dos tile (Manager):
Upgrade from HR Inbox to My Team’s To-Dos tile (Manager) for enhanced flexibility in task management.
6. Expedite Processes:
HR departments can efficiently provide documentation for employee requests and legal discovery processes by easily exporting search results, metadata, and relevant data such as approved contracts and offer letters.
Capitalize on Enhancements
We’re incredibly proud of the strides we’ve made in just three months since the last update. We strongly encourage all our customers to request an update to fully capitalize on these improvements.
Ready to soar to new heights with Extended ECM for SAP SuccessFactors? Content Aviator, available as an additional product, awaits you! To access this ground-breaking AI tool, simply reach out to OpenText Sales.
Electronic Data Interchange (EDI) remains crucial to supply chain collaboration today. As with all other IT solutions, artificial intelligence (AI) developments shape the EDI world. Yet, while the technologies used for EDI connectivity continue to evolve, misconceptions and a general lack of understanding around EDI and B2B integration persist.
EDI technology continues to evolve, but companies need to deal with a complex mix
Over the several decades since companies implemented the first EDI connections in the 1960s, pundits have pronounced EDI dead several times. Yet, the EDI message standards, communication protocols, and data formats have come a long way. For example, API-based connectivity is becoming increasingly common when building new EDI connections due to the adoption of cloud-based ERPs and other business systems that offer public APIs.
However, partner requirements, existing investments in EDI connections, lack of resources, and other reasons perpetuate the use of older standards, communication protocols, and data formats—as well as Value-Added Networks (VANs)—which means organizations must have the flexibility to deal with a mix of different connectivity types in the foreseeable future.
Supply chains require more and different types of information exchange between partners
As organizations look to increase the maturity of their supply chain operations, the need for sharing more and different types of information with business partners increases. This is likely to increase the use of EDI connections for new message types and the sharing of information that does not follow existing EDI standards, such as location data, status updates, and other real-time or near real-time data. B2B integration solutions must support these kinds of data flows and core EDI messaging to avoid fragmentation of supply chain data flows across multiple platforms.
Considering the increased need for collaboration and information sharing between supply chain partners, partner onboarding becomes increasingly crucial for EDI connections and other collaboration tools, such as supplier portals and collaborative supply chain applications. Companies can support this by tooling, which requires well-defined processes, coordination across different collaboration tools, and skilled resources to ensure successful partner activation, onboarding and management.
With AI, everything must change – Three impacts of AI in the future of EDI
Like with other technical developments from XML to APIs, the rapid evolution of AI tools and technologies impacts EDI operations in several ways. The three key areas to highlight include:
Speeding up EDI data mapping
Data mapping has traditionally been the most time-consuming and expensive aspect of setting up EDI connections. AI can speed up the mapping process and improve the business case for EDI connectivity. The key challenges in using AI for EDI data mapping relate to the underlying complexity of EDI in general and to the semantic data models used by different organizations. For example, the same term can be interpreted differently by other organizations. While AI is unlikely to automate EDI mapping in the near term fully, it can still provide significant cost savings in different parts of the mapping process, from requirements gathering to data field mapping and testing.
User enablement and productivity
Visibility into EDI data flows is essential to understanding business process health, identifying errors and exceptions, and fixing them. In addition to process visibility, B2B integration solutions often provide other types of user enablement tools, from self-service connectivity setup and EDI map library access to partner onboarding process tracking and community management. These tools are often powerful, but training users to use them effectively presents challenges. Generative AI, in particular, has the power to streamline user experience through interactive—and even proactive—guidance on how the user can best accomplish tasks that support their job role. In addition to increasing users’ productivity, this will likely lower the support costs for B2B integration solutions by reducing the number of support tickets users need to raise.
Embedding AI in analytics tools
EDI data flows are traditionally used to move data between two business systems. However, the EDI data flows contain a wealth of information that users can leverage for in-flight data analytics and, for example, combined with data from IoT solutions across different use cases. Identifying anomalies and exceptions, aggregating visibility in multi-system IT landscapes and analyzing partner performance are some areas where analytics tools help gain additional value from EDI data. Embedding AI capabilities, such as learning algorithms, in these analytics tools greatly enhances this opportunity. This can be crucial in meeting emerging requirements, such as offering business context insights for supplier risk analysis or automating reporting of Scope 3 carbon emissions information.
Not only are the rumors of the death of EDI greatly exaggerated, but the future of EDI plays a vital role in building digital and automated supply chains. Yet, organizations should not underestimate its complexity. They should periodically assess the need to modernize existing connections to ensure that the organization’s B2B integration capabilities meet its evolving business needs.
I will be attending the Gartner Supply Chain Symposium Xpo, Rethinking Supply Chains, in Orlando in a few days. This conference runs May 6-8, 2024, and OpenText has participated in this conference in the past, both in Orlando and its sister event in Europe, usually taking place a month later. Both of these leading events bring together supply chain leaders from around the world and from various industry sectors to discuss key trends impacting their operations and to learn from each other how to improve supply chain operations. The Orlando event also brings together numerous software and solution vendors, along with key thought leaders who focus on the supply chain function of a business.
The key theme for this year’s conference is ‘Rethinking Supply Chains’. With so many disruptions impacting today’s supply chains and significant advancements in new technologies, this conference will focus on what supply chain leaders need to do to build resilience around their supply chain operations. Crucial to creating this resilience is optimizing supply chain operations or adopting new technologies to help automate processes and ensure supply chains operate to their best capacity.
Disruptive technologies and the supply chains of the future
Supply chains are in the middle of a perfect technological storm, with new disruptive technologies vying to prove their worth and become a vital component of the IT infrastructure supporting today’s supply chain operations. From IoT to Generative AI and augmented reality to advanced humanoid robots and drones, supply chain leaders have never had it so good in terms of how these technologies can impact their business. With advances in AI, particularly the introduction of Generative AI, supply chain leaders and their customers can completely rethink how they engage with their supply chain operations. In addition, when combined, these new technologies could potentially lead to the introduction of genuinely autonomous supply chain operations. This is something I started to talk about in 2018 with the introduction of blockchain.
Now that time has passed, technology has matured, and with Gen AI and advancements in edge-based technologies, we have a chance to reset or rethink our approach to building autonomous supply chain operations. But where does a company start when evaluating such technologies, and which will become part of the standard IT infrastructure supporting supply chains in the years to come?
Join OpenText and Mr. Supply Chain
I am pleased to announce that OpenText will exhibit at this year’s Gartner conference in Orlando. We have several activities planned, and the highlight will be my discussion with the one and only Mr. Supply Chain, Daniel Stanton, on how new technologies will impact future supply chain operations. I have been following Mr. Supply Chain across his social media channels for many years since he launched his Dummies Guide to Supply Chain Management, now in its third edition. Mr. Supply Chain and I will have a brief 20-minute conversation on the state of today’s supply chain operations and the opportunity presented by new technologies such as IoT and Gen AI to rethink their supply chain operations.
We look forward to seeing you from May 6 to 8 at the Gartner Supply Chain Symposium Xpo in Orlando. Visit us at Booth #515.
My conversation with Mr. Supply Chain, “Navigating the future of supply chain innovation,” starts at 4:45 pm on Tuesday, May 7, on Stage 2 of the Xpo, located in the Atlantic Hall. Mr. Supply Chain and I look forward to seeing you in Orlando and our OpenText team will be on hand to discuss any supply chain integration challenge that you may have!
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.
Mike Safar, Product Marketing Director for Information Governance at OpenText, lays out the challenges generative AI will pose and some specific ways governance can significantly impact the success of your AI rollouts. He provides six essential suggestions for improving your results and the success of generative AI in your organization.
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.
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?
Deliver greener software with OpenText DevOps Cloud
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. Read the paper for more information.
Take control of your sustainability goals and accelerate your software delivery with planning, testing, quality, and AI-powered automation available in 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.
OpenText DevOps Cloud Aviator demo
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.
Innovations in less than a minute: AI cybersecurity
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 AI threat detection, 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.
Innovations in less than a minute: AI for DevOps
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 for DevOps 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 testing 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 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 for DevOps 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.
