Latest news with #Pegasystems
Bloomberg
36 minutes ago
- Business
- Bloomberg
Pega CEO on Rebuilding Enterprise Workflows with AI: Tech Disruptors
Enterprise software is evolving as generative AI enables smarter ways to build and run business processes. In this Tech Disruptors episode, Sunil Rajgopal speaks with Pegasystems CEO Alan Trefler on how tools like Blueprint and agentic workflows help modernize legacy systems and boost productivity. They discuss Pega's recurring SaaS revenue, customer verticals and how its low-code roots power its AI strategy. Alan also shares his views on the evolving competitive landscape, future product strategy, and scale ambitions.
Channel Post MEA
4 days ago
- Business
- Channel Post MEA
Pega Announces Expanded Pega Blueprint Capabilities
Pegasystems has announced expanded Pega Blueprint capabilities that significantly accelerate time-intensive digital transformation initiatives. Now, organizations can leverage powerful agentic AI to ingest, analyze, and convert a wide array of legacy system assets – including videos, documentation, UI screens, technical files, and source code – into modern applications faster than ever. These enhancements dramatically shorten the tedious system analysis phase, immediately creating a reimagined application blueprint ready for the cloud. According to new Pega research, 88% of global IT decision makers say technical debt impacts their ability to keep pace with more agile competitors. But traditional legacy modernization approaches require months of manual discovery and analysis. For older systems, proper documentation often doesn't exist, leaving current IT staff to dig for clues within lines of ancient code written by long-gone programmers. Meanwhile, limited IT resources are diverted to maintenance rather than innovation as customers defect from broken experiences. Pega Blueprint, the revolutionary gen AI-powered workflow design agent, already accelerates application development projects from months to weeks. Now, Pega expands its capabilities to help organizations rapidly assess and reimagine their legacy estate with a wider array of source inputs. Organizations can upload documents, code analysis files, app screenshots, and videos of the app in use into Pega Blueprint, which then analyzes and synthesizes these sources together to design an optimized application starting point. This comprehensive approach gives business and IT teams a head start on their transformation projects while casting a wide net of legacy source information, enabling more informed decisions and reduced iteration cycles. From broken legacy apps to modern cloud systems in record time Pega Blueprint has completely transformed the way clients design and develop new applications. With just a short description in natural language, Pega Blueprint uses the power of gen AI combined with Pega's best practices to quickly create new modern application workflows providing digital front ends infused with agentic automation. Hundreds of leading global organizations have already created thousands of optimized blueprints for almost any business scenario. Clients can use new agentic powers in Pega Blueprint to make it even easier to transform their legacy tech debt into automated cloud-based applications and streamlined customer experiences. Enterprises can jumpstart their transformation with: Upfront agentic AI analysis of broad legacy inputs: Leveraging agentic AI from the start, clients can upload assets from different sources and file types into Pega Blueprint for analysis – including documents, source code, demo videos, and images, along with outputs from leading source code analysis tools such as AWS Q Developer, Google MAT, and others from key Pega partners. Process insights across legacy assets: Pega Blueprint will extract and synthesize information from these uploaded sources to give users insights into legacy system processes. This fuels Pega Blueprint to generate a starting point application workflow for reimagining and retiring these old, inefficient systems. Accelerated data modeling and integration: Pega Blueprint already enables users to upload legacy database structures and integration documents to auto-generate the application data layer. Now, it also analyzes and generates the data fields and data object relationships required to build a comprehensive data model. With this AI analysis, enterprises can accelerate the migration of legacy data to the cloud and the integration of new cloud applications with third-party systems. 'Legacy systems are holding organizations back from delivering the experiences customers expect and the operational efficiency needed to stay competitive,' said Kerim Akgonul, chief product officer, Pega. 'With these expanded Pega Blueprint capabilities, we're enabling organizations to speed up their transformation journey by extracting maximum value from existing documentation, code, or most any source available. This isn't just about lifting and shifting to the cloud – it's about reimagining workflows to create truly modern, efficient applications that drive business value.' 'As organizations grapple with the burden of legacy systems hindering their journey toward autonomous enterprises, Pega Blueprint, combined with our AI-powered framework, enables enterprises to leap directly from outdated architectures to intelligent, agentic systems that deliver exceptional Total Experience,' said Sadagopan S, executive vice president, global head of SaaS and commercial applications, digital business services, HCLTech. 'We're committed to leveraging Pega Blueprint's capabilities to help organizations eliminate tech debt, accelerate legacy transformation, and truly achieve autonomous operations.' 'Legacy modernization is no longer just an IT upgrade—it's a strategic enabler,' said Pankaj Jain, CEO, Aaseya. 'With Pega Blueprint, we are helping enterprises move from patchwork fixes to AI-native, future-ready platforms.'
Globe and Mail
6 days ago
- Business
- Globe and Mail
Analysts' Top Technology Picks: Nvidia (NVDA), Credo Technology Group Holding Ltd (CRDO)
There's a lot to be optimistic about in the Technology sector as 3 analysts just weighed in on Nvidia (NVDA – Research Report), Credo Technology Group Holding Ltd (CRDO – Research Report) and Pegasystems (PEGA – Research Report) with bullish sentiments. Confident Investing Starts Here: Easily unpack a company's performance with TipRanks' new KPI Data for smart investment decisions Receive undervalued, market resilient stocks right to your inbox with TipRanks' Smart Value Newsletter Nvidia (NVDA) UBS analyst Timothy Arcuri maintained a Buy rating on Nvidia today and set a price target of $175.00. The company's shares closed last Monday at $137.38. According to Arcuri is a top 25 analyst with an average return of 31.2% and a 70.9% success rate. Arcuri covers the Technology sector, focusing on stocks such as Advanced Micro Devices, ARM Holdings PLC ADR, and Allegro MicroSystems. ;'> Nvidia has an analyst consensus of Strong Buy, with a price target consensus of $171.62, which is a 26.7% upside from current levels. In a report issued on May 19, Raymond James also reiterated a Buy rating on the stock with a $150.00 price target. Credo Technology Group Holding Ltd (CRDO) In a report released today, Thomas O'Malley from Barclays maintained a Buy rating on Credo Technology Group Holding Ltd, with a price target of $85.00. The company's shares closed last Monday at $62.65. According to O'Malley is a 4-star analyst with an average return of 8.5% and a 49.8% success rate. O'Malley covers the Technology sector, focusing on stocks such as MACOM Technology Solutions Holdings, Advanced Micro Devices, and Silicon Laboratories. ;'> Currently, the analyst consensus on Credo Technology Group Holding Ltd is a Strong Buy with an average price target of $66.13, a 9.8% upside from current levels. In a report released yesterday, Roth MKM also maintained a Buy rating on the stock with a $80.00 price target. Pegasystems (PEGA) In a report released today, Jake Roberge from William Blair maintained a Buy rating on Pegasystems. The company's shares closed last Monday at $96.96. According to Roberge has currently 0 stars on a ranking scale of 0-5 stars, with an average return of -5.6% and a 39.3% success rate. Roberge covers the Technology sector, focusing on stocks such as Onestream, Inc. Class A, Mitek Systems, and Jamf Holding. ;'> Currently, the analyst consensus on Pegasystems is a Strong Buy with an average price target of $105.80.
Yahoo
7 days ago
- Business
- Yahoo
Q1 Automation Software Earnings Review: First Prize Goes to Pegasystems (NASDAQ:PEGA)
Earnings results often indicate what direction a company will take in the months ahead. With Q1 behind us, let's have a look at Pegasystems (NASDAQ:PEGA) and its peers. The whole purpose of software is to automate tasks to increase productivity. Today, innovative new software techniques, often involving AI and machine learning, are finally allowing automation that has graduated from simple one- or two-step workflows to more complex processes integral to enterprises. The result is surging demand for modern automation software. The 7 automation software stocks we track reported a strong Q1. As a group, revenues beat analysts' consensus estimates by 5.9% while next quarter's revenue guidance was in line. Luckily, automation software stocks have performed well with share prices up 10.8% on average since the latest earnings results. Founded by Alan Trefler in 1983, Pegasystems (NASDAQ:PEGA) offers a software-as-a-service platform to automate and optimize workflows in customer service and engagement. Pegasystems reported revenues of $475.6 million, up 44.1% year on year. This print exceeded analysts' expectations by 33.1%. Overall, it was an incredible quarter for the company with an impressive beat of analysts' billings estimates and a solid beat of analysts' EBITDA estimates. Pegasystems pulled off the biggest analyst estimates beat of the whole group. The stock is up 41% since reporting and currently trades at $97. Is now the time to buy Pegasystems? Access our full analysis of the earnings results here, it's free. Started in 2005 in Romania as a tech outsourcing company, UiPath (NYSE:PATH) makes software that helps companies automate repetitive computer tasks. UiPath reported revenues of $356.6 million, up 6.4% year on year, outperforming analysts' expectations by 7.4%. The business had a very strong quarter with an impressive beat of analysts' billings estimates and a solid beat of analysts' EBITDA estimates. The market seems unhappy with the results as the stock is down 3.6% since reporting. It currently trades at $12.49. Is now the time to buy UiPath? Access our full analysis of the earnings results here, it's free. Founded in 2005, SoundHound AI (NASDAQ:SOUN) develops independent voice artificial intelligence solutions that enable businesses across various industries to offer customized conversational experiences to consumers. SoundHound AI reported revenues of $29.13 million, up 151% year on year, falling short of analysts' expectations by 4.4%. It was a softer quarter as it posted a significant miss of analysts' EBITDA estimates. SoundHound AI delivered the fastest revenue growth but had the weakest performance against analyst estimates in the group. Interestingly, the stock is up 2.8% since the results and currently trades at $10. Read our full analysis of SoundHound AI's results here. Founded by Matt Calkins and his three friends out of an apartment in Northern Virginia, Appian (NASDAQ:APPN) sells a software platform that lets its users build applications without using much code, allowing them to create new software more quickly. Appian reported revenues of $166.4 million, up 11.1% year on year. This print surpassed analysts' expectations by 2%. Zooming out, it was a mixed quarter as it also logged a solid beat of analysts' EBITDA estimates. Appian had the weakest full-year guidance update among its peers. The stock is up 2.4% since reporting and currently trades at $31.10. Read our full, actionable report on Appian here, it's free. Founded by Fred Luddy, who coded the company's initial prototype on a flight from San Francisco to London, ServiceNow (NYSE:NOW) is a software provider helping companies automate workflows across IT, HR, and customer service. ServiceNow reported revenues of $3.09 billion, up 18.6% year on year. This number met analysts' expectations. More broadly, it was a decent quarter as it also recorded an impressive beat of analysts' current remaining performance obligation estimates. The stock is up 24.4% since reporting and currently trades at $1,013. Read our full, actionable report on ServiceNow here, it's free. The Fed's interest rate hikes throughout 2022 and 2023 have successfully cooled post-pandemic inflation, bringing it closer to the 2% target. Inflationary pressures have eased without tipping the economy into a recession, suggesting a soft landing. This stability, paired with recent rate cuts (0.5% in September 2024 and 0.25% in November 2024), fueled a strong year for the stock market in 2024. The markets surged further after Donald Trump's presidential victory in November, with major indices reaching record highs in the days following the election. Still, questions remain about the direction of economic policy, as potential tariffs and corporate tax changes add uncertainty for 2025. Want to invest in winners with rock-solid fundamentals? Check out our 9 Best Market-Beating Stocks and add them to your watchlist. These companies are poised for growth regardless of the political or macroeconomic climate.
Techday NZ
02-06-2025
- Business
- Techday NZ
Pegasystems unveils fabric to unify enterprise AI automation
Pegasystems has introduced Pega Agentic Process Fabric, a service aimed at orchestrating artificial intelligence (AI) agents and systems across an open agentic network to help enterprises automate end-to-end customer journeys. This service extends the company's Process Fabric architecture, providing a system for agents, applications, data, and workflows to cooperate across both Pega solutions and third-party IT systems. It seeks to address concerns around deploying AI agents at scale, a challenge highlighted by a study indicating that only 32% of companies believe they will be able to leverage agents in the next three years. Pegasystems states that many enterprises today deploy agents in isolated silos, resulting in a lack of centralised management and orchestration. As a result, concerns about rogue agents and unpredictable behaviour are prominent in highly regulated industries and beyond. The new Pega Agentic Process Fabric is designed to register AI agents, workflows, and data across systems, making them available for orchestrated automation through a unified fabric. The new offering aims to provide improved agent reliability. It introduces a layered AI approach in which creative AI reasoning takes place during the design of workflows, while runtime execution by agents follows approved and structured workflows. According to Pegasystems, this method reduces risk and improves predictability compared to other approaches that rely on runtime AI-driven reasoning during mission-critical operations. The company says its Blueprint design agents play a key role in developing optimised workflows that can then be leveraged by AI agents across the enterprise. Pega Agentic Process Fabric is promoted as a solution that builds more effective AI agents, enabling organisations to increase self-service capabilities and employee efficiency. The unified fabric connects any agent to a repository of assets spanning Pega and non-Pega solutions, removing the need for complex integrations or free-text prompt engineering, which are identified as obstacles to consistent implementation and operational predictability. The service brings several notable capabilities, described by the company as facilitating "seamless agentic experiences," "enterprise-grade reliability," "open connectivity," and "complete control." The Fabric analyses its library of discoverable agents, workflows, and data to assign the appropriate resources for each task. Where existing automation does not exist, it can use Blueprint to design new workflows, under human governance. Interaction with agents is possible across various channels, such as chatbots, email, and voice systems. To support secure operations, every agent includes enterprise security controls to prevent misuse and ensure only the right personnel can interact with them or manage agent-to-agent communications. Organisations can monitor agent actions step by step, maintaining an audit trail for reporting and compliance purposes as they refine their automation strategies. Pegasystems describes its agentic AI strategy as combining workflow design and management capabilities. It begins with Pega Blueprint, which creates business process designs and customer engagement strategies. These can be converted into Predictable AI Agents that operate within the organisation's ecosystem. Once in place, agents within the Pega Agentic Process Fabric collaborate to interpret user intent and orchestrate activities to achieve defined business outcomes. Pega Agentic Process Fabric will be part of the next release of the Pega Infinity suite, scheduled for availability in the third quarter of 2025. Elements such as Pega Blueprint are already accessible for clients seeking to generate workflows with Pega solutions. "Other companies want you to build thousands of agents and then deploy their control towers to try to manage them all. We take a radically different approach. By weaving together existing workflows, data, and knowledge together in Pega Agentic Process Fabric, we build predictable agents that fundamentally change how employees work and customers engage without rearchitecting all your systems. With decades of workflow automation and AI experience, Pega was made for this moment. Combining the powerful AI agents with reliable enterprise-grade workflows will redefine how organizations approach their automation strategies," said Alan Trefler, founder and CEO, Pega. "We see the incredible potential for deploying AI agents to improve efficiencies and deliver differentiated experiences for our customers and employees. But like many others in highly regulated industries, we need to be extremely diligent in how we approach it to ensure these agents don't develop a mind of their own and cause damage that's difficult to reverse. That's why we're intrigued about Pega's approach with Pega Agentic Process Fabric," Erica van de Ven, Global Head of Financial Economic Crime Tech at Rabobank, commented. "AI agents hold immense promise—but without orchestration, they risk becoming isolated pockets of automation. Pega Agentic Process Fabric redefines what's possible by creating a unified directory of agents and workflows that spans the entire enterprise, across both Pega and non-Pega systems. At Credera, we see this as a pivotal step forward: empowering conversational agents to collaborate, trigger, and complete workflows seamlessly—wherever they reside. This isn't just integration; it's intelligent, enterprise-wide coordination that ensures AI delivers real business outcomes, not siloed efforts," Mahesh Agrawal, Chief Executive Officer, Global Pega Business at Credera, said. "At Tata Consultancy Services, we are dedicated to driving business transformation through cutting-edge innovation. Our partnership with Pega is instrumental in helping clients unlock new levels of efficiency and intelligence. By harnessing the power of Pega Agentic Process Fabric, we will enable enterprises to move beyond traditional automation toward systems that can reason, adapt, and act autonomously. Pega's agentic AI, integrated with TCS AI-based solutions and accelerators, brings futuristic offerings to our customers. This collaboration marks a significant step forward in delivering dynamic, outcome-driven solutions that empower our clients to lead in a rapidly evolving digital economy," Gopinath Munusamy, Global Head, Enterprise Solution Unit, Digital Process Management at Tata Consultancy Services, said. Pegasystems emphasises that Pega Process Fabric is evolving into Pega Agentic Process Fabric, combining existing capabilities with new features targeted towards agentic automation across open networks.
