Latest news with #HCLSoftware
Techday NZ
3 days ago
- Business
- Techday NZ
HCL Unica+ unveiled as AI-first platform for trust-based marketing
HCLSoftware has launched HCL Unica+, an AI-first MarTech platform designed to support marketing in what the company terms the Intelligence Economy. The platform seeks to address challenges marketers face in an environment characterised by an overload of digital messages, rising customer expectations, and the increasing use of AI-generated content. HCL Unica+ is presented as a software solution that prioritises building trust and customer loyalty over simply acquiring attention through clicks and views. Explaining the thinking behind the platform, Raj Iyer, Executive Vice President and Portfolio Manager at HCLSoftware, said, "The bridge to trust is the intelligence economy which we believe is the future of marketing and the philosophy by which HCL Unica+ was created." "Whereas digital experiences are often generic and irrelevant, brands can use the power of intent to deliver memorable experiences that build trust and strengthen relationships." The company positions the platform as a response to what it describes as the shortcomings of the "attention economy", in which the proliferation of channels and technology has led to "attention fatigue" and declining engagement among customers. HCL Unica+ aims to use data-driven context and insights to improve marketing outcomes by delivering what it calls "memorable experiences" that enhance relationships with customers. Raj Iyer added that HCL Unica+ was developed for the future of marketing: "Historically, marketing has been all about the attention economy and seeking ways to accumulate clicks and eyeballs. However, the subsequent proliferation of channels, digital technologies and social media has overloaded people with messages, resulting in attention fatigue and lower engagement — and made even worse as AI-based content has entered the fray. As marketers, the challenge in this environment is to build trust with customers and earn loyalty by delivering value—in short, a trust economy." The platform is equipped with what HCLSoftware describes as agentic AI capabilities. It promises deep customer understanding through analysis of "digital body language" and intends to provide customer experiences tailored to an individual, often referred to as a "segment of one". One of its features, the Segmentation Agent, enables hyper-personalised marketing offers in real time, aiming to move beyond traditional customer segmentation. The platform's Content Optimizer Agent automates the creation of content tailored to contextual engagement, while the Insights Agent delivers analytics on campaign performance with the intention of providing actionable intelligence. These tools are designed to allow marketers more precision and autonomy in campaign management, with the aim of increasing the relevance of messaging and the efficiency of marketing initiatives. The MaxAI Workbench is a component of the platform that enables marketing teams to build custom AI models for campaign hyper-targeting and audience scoring. The MaxAI Always-on Assistant offers a resource to help design, refine, and execute marketing strategies with the intention of improving efficiency. Additional features highlighted include real-time personalisation, unifying customer data into single profile views, and what the company describes as inherent privacy and responsible AI guardrails. The platform's technology is intended to continuously learn from customer interactions and augment marketing teams' performance, while maintaining compliance and data privacy standards. Liz Miller, Vice President and Principal Analyst at Constellation Research, shared her view on the shift occurring in the marketing sector, stating, "The age of random applications of AI, automation and data is over as customers and marketers alike have heightened expectations for engagement rich with intentionality and notable outcomes." "CMOs and their teams deserve marketing technologies that meet this new era of intelligence head on with platforms that deliver context and understanding of both the customer and the business, drawing from data and insights from across the organization and across the digital and physical reality of the customer." According to HCLSoftware, a key attribute of Unica+ is its ability to unify customer data into a high-definition profile, which it says supports real-time identification, segmentation, and personalised engagement. On the subject of the platform's user experience, Thomas Ricoux, Head of Marketing, Digital, and Customer Relationships at Macif, commented, "With HCL Unica+, we're entering a new era, one that enhances marketers' capabilities thanks to AI, all at the service of our customers' satisfaction. The change in UX/UI enables marketing teams to focus on the performance of their campaigns, with a global and efficient vision." Privacy and responsible use of artificial intelligence are also highlighted. The company has stated that its software operates with "inherent guardrails," designed to allow organisations using the software to remain compliant with regulations and maintain customer trust when deploying AI in their campaigns.
Business Mayor
22-05-2025
- Business
- Business Mayor
The future of marketing: a conversation with Dario Debarbieri and Raj Iyer
HCLSoftware is a Business Reporter client AI has radically changed the game for marketers. How is the marketing environment changing, and what does the future hold? Dario Debarbieri: For marketers, the first lesson of the global pivot to artificial intelligence is that data is more vital than ever. AI is only as good as the data that fuels it, which makes data quality and data management critical, in marketing as elsewhere. And to manage data effectively requires platforms that are agile, flexible and resilient—platforms that can adapt without breaking, that are solid yet versatile. At a business level, these capabilities will mean the difference between success and failure. To thrive in a world of pervasive AI, your data and your platform must be ready for a future of living marketing systems. A brand in the future will evolve like a living organism—because in an AI-powered world, nothing is static. The perception of your brand will depend on the data that fuels those AI tools and frameworks—dynamically, even metabolically. That means your marketing systems must ensure consistency in the data captured by AI tools and systems in order to influence the output they generate. You must be massively consistent in the way you manage your data, for your customers as well as your brand. Hyper-personalisation—an AI superpower for the next-gen marketer—also depends directly on the data that fuels it. The customer experience lifecycle will be transformed by an infusion of data-driven context and insights—allowing AI-generated, dynamically crafted and curated messaging, stories and transactions. In every instance, data will be the lifeblood of these systems. What does all this mean for human marketers? DD: None of this makes humans obsolete. The marketer of tomorrow will pivot to providing the human insights that make campaigns more effective, the ethics and brand culture that inform them and the emotional intelligence that brings them fully to life. This new marketer will be a complete storyteller—while being, in equal measure, a marketing system designer. Read More Malibu campaign gives famous artworks an AI makeover What will that future marketer need? DD: New tools—better, faster, more focused and flexible—and a clear knowledge of how they work and how to use them. Without that, marketers simply won't survive. This creative industrial revolution will feature a fusion of technologies that will shape the profile of every marketer: a convergence of GenAI, data, quantum-powered market simulations and blockchain-enabled brand trust—enabling secure, transparent transactions à la Web3. Turning to the present, where are we with marketing technology today? What are our current capabilities? Raj Iyer: The web browser made the internet accessible to everyone back in 1993-94, but from a business perspective, email was the first killer app. Marketers saw instantly that email gave them a powerful tool to reach a very large audience. Unica capitalised on that trend and redefined marketing technology in the process, making catalogue marketing electronic while creating the martech space as it is today. Thus was born the idea of segmentation at scale, using email to send the most prodigious campaigns cost-effectively. Today, AI too is a killer tool for marketing—but at an exponentially higher level. Until now, marketing has been all about the attention economy, relentlessly seeking better ways to rack up eyeballs and clicks. In fact, the whole idea of a marketing funnel came from the math game that results. But as channels, digital technologies and social media proliferate, people are inundated with messages. The result is attention fatigue—and plummeting engagement, which worsens as AI-based content adds to the clamour for users' attention. So how can we respond to this dilemma? Read More Irish workers take wage cut as executive pay booms - Oxfam RI: As marketers, the goal is to build trust with customers and earn loyalty by delivering value—in short, a trust economy. The attention economy isn't going away, but if you can build trust and loyalty with customers, attention is a given. So, how can we get there? In our view, the bridge to trust is the intelligence economy—an infusion of intelligence and intention that cuts through noise and distraction with data-driven context and deep insights into customers' wants and needs. Whereas digital experiences are often generic and irrelevant, brands can use the power of intent to deliver memorable experiences that build trust and strengthen relationships. To achieve that, we need platforms and tools that can capture that intention, turn relevant data into useful insights and make marketing workflows manageable through intelligent orchestration. AI, data, quantum, blockchain – all these technologies belong to this intelligence economy. This is what we mean by Digital+. What capabilities is the intelligence economy built on? RI: We've touched on the what of the intelligence economy: the deep customer knowledge and data-driven insights that establish intent. Next is the how: the dance of engagement, the contextual customer journeys—guided by HCL Unica+ and the technology stack that powers it. Then comes the why: the memorable feelings and experiences that make customers choose you over competitors. Now, these elements—insight, engagement, and experience—rely, in turn, on other key capabilities, one of which pertains to technology architecture. Tech architects today face a false choice between monolithic and microservices approaches. What the intelligence economy demands, however, is a composable architecture based on packaged business capabilities (PBCs)—modular software components that perform specific business functions and can be seamlessly integrated and removed. Meanwhile, AI feeds into all three of these elements—feeding into insight, for example, with auto-segmentation in the customer data platform; engagement, by dynamically matching channels to customers; and experience, by crafting hyper-personalised journeys based on deep customer knowledge. DD: The marketing platform of the future has other core attributes—data and AI, analytics, hyper-personalisation, security and scalability are all 'must-haves' when implementing the martech of the future. The key takeaway for today's marketers, though, is simple: the platforms, tools and technologies of the intelligence economy are available now—and we're here to make that easy. The future of marketing may lie ahead, but the Digital+ future is now. Click here to learn more. Raj Iyer Raj Iyer is the Executive Vice President and Portfolio General Manager at HCLSoftware, where he leads several product lines and played a key role in scaling the business from a few hundred million in revenue to $1.5 billion. With prior leadership roles at DXC and IBM and experience at three Silicon Valley start-ups, Raj brings deep expertise in enterprise software, AI/ML and global business strategy. Dario Debarbieri Dario, who studied Law and Economics at the Universidad de Buenos Aires, has more than 20 years of global leadership experience across technology and financial services, including roles as CEO, CMO and VP at firms such as IBM and Enterprise Outsourcing. Since August 2022, he has led Marketing at HCLSoftware, bringing deep expertise in AI, cloud, data, CX and emerging technologies, with a strong record of driving performance and international brand growth.
The Independent
21-05-2025
- Business
- The Independent
The future of marketing: a conversation with Dario Debarbieri and Raj Iyer
HCLSoftware is a Business Reporter client AI has radically changed the game for marketers. How is the marketing environment changing, and what does the future hold? Dario Debarbieri: For marketers, the first lesson of the global pivot to artificial intelligence is that data is more vital than ever. AI is only as good as the data that fuels it, which makes data quality and data management critical, in marketing as elsewhere. And to manage data effectively requires platforms that are agile, flexible and resilient—platforms that can adapt without breaking, that are solid yet versatile. At a business level, these capabilities will mean the difference between success and failure. To thrive in a world of pervasive AI, your data and your platform must be ready for a future of living marketing systems. A brand in the future will evolve like a living organism—because in an AI-powered world, nothing is static. The perception of your brand will depend on the data that fuels those AI tools and frameworks—dynamically, even metabolically. That means your marketing systems must ensure consistency in the data captured by AI tools and systems in order to influence the output they generate. You must be massively consistent in the way you manage your data, for your customers as well as your brand. Hyper-personalisation—an AI superpower for the next-gen marketer—also depends directly on the data that fuels it. The customer experience lifecycle will be transformed by an infusion of data-driven context and insights—allowing AI-generated, dynamically crafted and curated messaging, stories and transactions. In every instance, data will be the lifeblood of these systems. What does all this mean for human marketers? DD: None of this makes humans obsolete. The marketer of tomorrow will pivot to providing the human insights that make campaigns more effective, the ethics and brand culture that inform them and the emotional intelligence that brings them fully to life. This new marketer will be a complete storyteller—while being, in equal measure, a marketing system designer. What will that future marketer need? DD: New tools—better, faster, more focused and flexible—and a clear knowledge of how they work and how to use them. Without that, marketers simply won't survive. This creative industrial revolution will feature a fusion of technologies that will shape the profile of every marketer: a convergence of GenAI, data, quantum-powered market simulations and blockchain-enabled brand trust—enabling secure, transparent transactions à la Web3. Turning to the present, where are we with marketing technology today? What are our current capabilities? Raj Iyer: The web browser made the internet accessible to everyone back in 1993-94, but from a business perspective, email was the first killer app. Marketers saw instantly that email gave them a powerful tool to reach a very large audience. Unica capitalised on that trend and redefined marketing technology in the process, making catalogue marketing electronic while creating the martech space as it is today. Thus was born the idea of segmentation at scale, using email to send the most prodigious campaigns cost-effectively. Today, AI too is a killer tool for marketing—but at an exponentially higher level. Until now, marketing has been all about the attention economy, relentlessly seeking better ways to rack up eyeballs and clicks. In fact, the whole idea of a marketing funnel came from the math game that results. But as channels, digital technologies and social media proliferate, people are inundated with messages. The result is attention fatigue—and plummeting engagement, which worsens as AI-based content adds to the clamour for users' attention. So how can we respond to this dilemma? RI: As marketers, the goal is to build trust with customers and earn loyalty by delivering value—in short, a trust economy. The attention economy isn't going away, but if you can build trust and loyalty with customers, attention is a given. So, how can we get there? In our view, the bridge to trust is the intelligence economy —an infusion of intelligence and intention that cuts through noise and distraction with data-driven context and deep insights into customers' wants and needs. Whereas digital experiences are often generic and irrelevant, brands can use the power of intent to deliver memorable experiences that build trust and strengthen relationships. To achieve that, we need platforms and tools that can capture that intention, turn relevant data into useful insights and make marketing workflows manageable through intelligent orchestration. AI, data, quantum, blockchain – all these technologies belong to this intelligence economy. This is what we mean by Digital+. What capabilities is the intelligence economy built on? RI: We've touched on the what of the intelligence economy: the deep customer knowledge and data-driven insights that establish intent. Next is the how: the dance of engagement, the contextual customer journeys—guided by HCL Unica+ and the technology stack that powers it. Then comes the why: the memorable feelings and experiences that make customers choose you over competitors. Now, these elements—insight, engagement, and experience—rely, in turn, on other key capabilities, one of which pertains to technology architecture. Tech architects today face a false choice between monolithic and microservices approaches. What the intelligence economy demands, however, is a composable architecture based on packaged business capabilities (PBCs)—modular software components that perform specific business functions and can be seamlessly integrated and removed. Meanwhile, AI feeds into all three of these elements—feeding into insight, for example, with auto-segmentation in the customer data platform; engagement, by dynamically matching channels to customers; and experience, by crafting hyper-personalised journeys based on deep customer knowledge. DD: The marketing platform of the future has other core attributes—data and AI, analytics, hyper-personalisation, security and scalability are all 'must-haves' when implementing the martech of the future. The key takeaway for today's marketers, though, is simple: the platforms, tools and technologies of the intelligence economy are available now—and we're here to make that easy. The future of marketing may lie ahead, but the Digital+ future is now. Click here to learn more. Raj Iyer Raj Iyer is the Executive Vice President and Portfolio General Manager at HCLSoftware, where he leads several product lines and played a key role in scaling the business from a few hundred million in revenue to $1.5 billion. With prior leadership roles at DXC and IBM and experience at three Silicon Valley start-ups, Raj brings deep expertise in enterprise software, AI/ML and global business strategy. Dario Debarbieri Dario, who studied Law and Economics at the Universidad de Buenos Aires, has more than 20 years of global leadership experience across technology and financial services, including roles as CEO, CMO and VP at firms such as IBM and Enterprise Outsourcing. Since August 2022, he has led Marketing at HCLSoftware, bringing deep expertise in AI, cloud, data, CX and emerging technologies, with a strong record of driving performance and international brand growth.
Cision Canada
12-05-2025
- Business
- Cision Canada
New Actian Data Observability Delivers Proactive Data Quality for AI Innovation
Provides complete visibility across complex, modern data stacks to build reliable, AI-ready data , May 12, 2025 /CNW/ -- Actian, the data division of HCLSoftware, today launches Actian Data Observability, which leverages AI and machine learning for comprehensive data quality monitoring as well as anomaly detection and resolution. By ensuring high data quality and trustworthiness, Actian helps enterprises accelerate AI initiatives, increase the speed of innovation, and reduce risk. Traditional data quality approaches lack real-time capabilities and struggle to keep pace with the exponential growth in data volume and velocity. Actian Data Observability addresses these limitations, providing comprehensive and continuous monitoring across the entire data ecosystem. Gartner ® statistics confirm the growing importance of data observability, noting that "By 2026, 50% of enterprises implementing distributed data architectures will have adopted data observability tools to improve visibility over the state of the data landscape, up from less than 20% in 2024."¹ "Enterprises depend on data to power decisions, drive AI initiatives and meet regulatory demands—but too often face unreliable data, hidden quality issues and ballooning cloud costs," said Emma McGrattan, CTO at Actian. "Actian Data Observability gives teams the visibility and confidence they need to trust their data, reduce risk and control spend—turning data from a liability into a competitive advantage." Unlike reactive, rule-based approaches, Actian Data Observability defines and runs thousands of data quality rules concurrently across the entire data landscape. Monitoring includes critical dimensions such as freshness, volume, schema drift, distribution patterns and custom business rules. ML-driven anomaly detection automatically identifies outliers, drifts and unexpected patterns, while providing valuable root-cause analysis suggestions to facilitate faster resolution. Actian Data Observability scales to connect any dataset in the ecosystem so enterprises can maintain data integrity without compromising performance or creating bottlenecks in their data pipelines. With this solution, Actian optimizes cloud resource consumption without data sampling, ensuring predictable cloud costs and preventing unexpected cost surges. Built for enterprises operating complex, high-volume modern data stacks, Actian Data Observability supports the following use cases: Data pipeline efficiency: Enable teams to quickly deliver reliable AI-ready data products and insights by addressing quality issues closer to the source and as early as possible in the lifecycle using the shift-left philosophy in data that prevents issues from propagating downstream. AI lifecycle monitoring: Ensure safety and compliance of AI applications by validating quality, freshness and relevance of training data and retrieval-augmented generation knowledge sources while enabling rapid intervention. Safe self-service analytics: Empower analysts and other consumers to independently assess reliability before using data with real-time health indicators directly embedded within data catalogs, BI tools and discovery platforms. Built on an open architecture, Actian Data Observability integrates seamlessly with cloud data warehouses, data lakes, lakehouses and streaming platforms. By isolating data quality workloads from production infrastructure, Actian prevents performance degradation and impact to business operations in production environments. For managing large analytical datasets, Actian provides a native Apache Iceberg integration to ensure accurate insights, quality checks and change tracking across systems. Additionally, to protect data security and privacy, Actian Data Observability accesses metadata and runs checks directly where data resides, eliminating the need for insecure or costly data copies. Actian Data Observability will be available globally in June 2025 and will be available as part of the Actian Data Intelligence Platform in the fall of 2025. For more information, review the " Quality Data, Reliable AI: Introducing Actian Data Observability" and " How to Achieve Complete Data Observability–Without Breaking the Bank" white paper. About Actian Actian empowers enterprises to confidently manage and govern data at scale. Actian data management and data intelligence solutions help streamline complex data environments and accelerate the delivery of AI-ready data. Designed to be flexible, Actian solutions integrate seamlessly and perform reliably across on-premises, cloud and hybrid environments. Learn more about Actian, the data division of HCLSoftware, at 1 Gartner, Market Guide for Data Observability Tools, Melody Chien, Jason Medd, Lydia Ferguson, Michael Simone, 25 June 2024. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.
Korea Herald
08-05-2025
- Business
- Korea Herald
HCLSoftware Launches HCL UnO Agentic: The Future of Intelligent Orchestration to Drive Business Optimization
NOIDA, India, May 8, 2025 /PRNewswire/ -- HCLSoftware, the enterprise software division of HCLTech and a global provider of enterprise software solutions, announced the launch of HCL Universal Orchestrator (UnO) Agentic – a scalable, AI-powered orchestration platform that empowers enterprise leaders, developers, and business users to go beyond traditional task automation and enable autonomous workflow management and intelligent automation by seamlessly co-ordinating workflows across AI agents, robots, people and systems. Building upon the proven HCL Universal Orchestrator – a cloud-native, real-time process orchestration platform that transforms business operations by simplifying complex workflows across diverse systems – HCL UnO Agentic elevates enterprise orchestration to new heights. As a part of the HCL Automation Orchestrator Suite with GenAI capabilities, HCL UnO now harnesses the power of Agentic AI to deliver intelligent agentic orchestration – enabling organizations to unlock unprecedented value by seamlessly integrating autonomous agents into business-critical processes and workflows. We feel in recognition of our AI advancements, we were named a Leader in the 2024 Gartner® Magic Quadrant™ for Service Orchestration and Automation Platforms. AI-driven automation has long been a cornerstone of productivity and business agility. With the introduction of agentic orchestration, enterprises can now build systems that think, learn, reason, continuously adapt, and coordinate intelligently across functions within defined process guardrails. Gartner predicts"by 2028, at least 15% of day-to-day work decisions will be made autonomously through Agentic AI, up from zero percent in 2024." A critical aspect in agentic orchestration is governance, visibility, and control. Equally important is facilitating compliance, trust, security, risk management, and automating observability across AI agents and different AI frameworks. With HCL UnO Agentic, enterprises can gain complete visibility into enterprise workflows and drive compliant execution and autonomous decision-making through trusted agents that are governed and observable, making autonomous workflow management a reality. "As organizations integrate Agentic AI into their operations to unlock value and redefine enterprise efficiency, they need a flexible enterprise orchestration platform that seamlessly connects multiple AI agents – bringing agentic intelligence directly into the enterprise in a secure and scalable way. HCL UnO leads this transformation with Agentic AI at its core, empowering businesses to accelerate digital transformation while maximizing agility and business impact. By integrating deterministic and probabilistic execution, HCL UnO transforms how humans and intelligent systems collaborate to shape the future of enterprise operations," said Kalyan Kumar (KK), Chief Product Officer, HCLSoftware. Capabilities of HCL UnO Agentic include: Design Intelligent Workflows: Utilize visual tools like the UnO Agentic Builder and UnO Designer to build AI Agents and model workflows that incorporate AI agents, enhancing process efficiency. Unified orchestration approach: Seamlessly execute a combination of Agentic AI & prescriptive workflows as an integrated automation scenario and get the best of both worlds. Hybrid workflow management: Orchestrate regulated/high-risk (traditional) & low-risk/high impact (agentic) scenarios as part of a hybrid workflow. Enterprise integration: Leverage a wide ecosystem of plugins library for enterprise integration and data access to enterprise systems, ERPs, mainframe & cloud. With HCL UnO Agentic, organizations have experienced real tangible benefits such as – enhanced processing speeds by up to 60%, and reduced manual errors by more than 70% — contributing to significant cost savings and improving bottom-line results for businesses. To learn more, visit the HCL Universal Orchestrator webpage. About HCLSoftware HCLSoftware is a global leader in software innovation and the software division of HCLTech. We develop, market, sell, and support transformative solutions across various industries, including business and industry, intelligent operations, total experience, data and analytics, and cybersecurity. Our commitment to customer success and our core values of integrity, inclusion, value creation, people-centricity, and social responsibility drive us to deliver best-in-class software products that empower organizations to achieve their goals. With a rich heritage of pioneering spirit, HCLSoftware serves more than 20,000 organizations, including a majority of the Fortune 100 and almost half of the Fortune 500. Learn more about how we can help you achieve your goals at *GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. Gartner, Magic Quadrant for Service Orchestration and Automation Platforms, Hassan Ennaciri, Chris Saunderson, Daniel Betts, Cameron Haight, 11 September 2024
