Latest news with #SuccessFactors
Forbes
13 hours ago
- Business
- Forbes
SAP SuccessFactors Brings More AI To HCM And HR At Sapphire 2025 Event
Dan Beck, president and chief product officer of SAP SuccessFactors, delivers an HCM breakout ... More session at Sapphire 2025. At the SAP Sapphire 2025 conference, the company announced a series of updates to its SuccessFactors suite, SAP's flagship HCM and HR platform. These updates reflect both incremental progress for specific products as well as more ambitious strategic changes in the company's approach to incorporating artificial intelligence. (Note that SAP is an advisory client of my firm, Moor Insights & Strategy.) It's important to set the stage for how some of the broader announcements at Sapphire could impact HCM. One of the more prominent ones was the launch of SAP AI Foundation, which consolidates Joule Studio, AI Hub and the SAP Knowledge Graph into a unified platform. SAP presented this move as a way to simplify AI deployment and management across its ecosystem, aiming to reduce complexity for business users and IT while accelerating the adoption of AI-driven automation in HCM/HR and other business functions. That said, a potential challenge for SAP will be effectively integrating these diverse AI components to ensure they function cohesively and avoid creating new complexities. Building on this AI strategy, SAP also introduced expanded capabilities for AI agents for HR, which are now managed through the new AI Agent Hub. This Hub is designed to allow organizations to centrally govern and monitor AI agents as they take on more sophisticated tasks, such as performance management and recruiting. Besides improving functionality, SAP intends this approach to increase transparency and accountability as automation becomes more deeply embedded in HR operations. I believe that this transparency is crucial, especially considering that recent research shows that LLMs exhibit gender bias, particularly in hiring processes. SAP also introduced People Intelligence, a new analytics offering built on SAP's Business Data Cloud. This successor to Workforce Analytics is launching for early adopters on July 23, with the aim of helping organizations gain insights in important areas such as labor mix analysis, skills cost assessment and talent supply chain evaluation. It connects various data points from multiple sources, including finance and HR, to provide contextual insights that should foster data-driven decision making. The new Performance and Goals Agent is designed to help managers and employees monitor performance and goals more effectively. Specifically, it will provide proactive notifications to managers about incomplete goals and assist employees in creating and finalizing their objectives. This could be a nice boost for these important workflows, and it's clear that fluid communication between employees and managers throughout the performance cycle is essential for driving higher engagement and productivity. Recent research from Betterworks shows that employees who perceive their performance reviews as fair and equitable are significantly more engaged (82% versus 60%) and productive (71% versus 57%) compared to those who view reviews as unfair. At Sapphire, SAP also discussed the ongoing integration of WalkMe, which it announced at last year's Sapphire conference, into its product suite. SAP intends to use WalkMe's digital adoption platform to improve both user guidance and workflow automation across SAP applications, particularly through deeper integration with the Joule AI assistant. At a more granular level, SAP announced the addition of more than 200 new features to SuccessFactors HCM, along with enhancements to cloud migration and payroll support. These updates should improve automation, accuracy and user experience, and in the bigger picture they align with the broader industry trend of incremental AI and cloud adoption in HR technology. AI is being used more widely in HR all the time, and it's certainly not going away. In this context, ensuring robust data governance and maintaining user trust will be paramount — for SAP and every other vendor in the industry — as AI handles increasing amounts of sensitive employee data and a broader range of HR tasks. Addressing potential bias in AI algorithms, along with the ethical implications of AI use in HR, will also be critical to support widespread adoption. Furthermore, SAP operates within a competitive HR technology landscape where continuous innovation and differentiation are necessary to maintain its market leadership. As SAP expands its AI agent ecosystem, it will be important for the company to clearly define and strengthen its governance posture around AI security, compliance and data oversight. Technology leaders will need this clarity so they can validate the maturity of agent interoperability protocols and ensure robust compliance, auditability and risk management as AI agents become more embedded in business operations. AI governance extends well beyond HR, and a well-defined approach from SAP will be essential for organizations to coordinate efforts across IT, security, legal and compliance teams. Empowering its extensive customer base with tailored AI solutions could be a key differentiator for SAP. The company's HR and HCM announcements at Sapphire 2025 highlight a strategy that balances the ambition of AI-driven transformation — possibly helping shape the future of HR technology — with the pragmatism of providing continuous value to existing customers by delivering steady, incremental feature enhancements. In such a rapidly evolving AI landscape, it may be time for SAP to reevaluate its semi-annual release schedule for SuccessFactors and HCM. While this cadence has traditionally provided stability and ample testing time for customers, I believe that the accelerating pace of AI innovation suggests that more frequent updates, maybe something like Oracle's quarterly release cycle, could help organizations stay current and competitive. Increasing the frequency of releases could allow SAP customers to take advantage of new AI-driven capabilities more quickly and remain aligned with industry advancements. Regardless of its cadence of software updates, I'll be watching closely to see how SAP's strategy and delivery model evolve and how effectively it enables organizations to integrate AI into their HR practices in an adaptive and minimally disruptive way.
Yahoo
a day ago
- Business
- Yahoo
SAP (XTRA:SAP) Expands Talent Solutions with Phenom Endorsed App Integration
SAP achieved a notable milestone this quarter with Phenom's platform becoming an SAP Endorsed App, enhancing recruitment efforts for SAP SuccessFactors users. This development, coupled with substantial partnerships such as the one with Accenture for cloud pathways, are significant steps towards strengthening its market position. Despite these advancements, SAP's quarter ended with a stock price move of 3.81%, aligning with broader market trends which have risen 13% over the past year. While the company's strategic efforts may have influenced sentiment, the stock's performance broadly mirrored current market dynamics, reinforcing its stability amid broader economic conditions. Buy, Hold or Sell SAP? View our complete analysis and fair value estimate and you decide. Explore 22 top quantum computing companies leading the revolution in next-gen technology and shaping the future with breakthroughs in quantum algorithms, superconducting qubits, and cutting-edge research. SAP's recent collaboration with Phenom and Accenture is a promising move for its SuccessFactors platform, potentially driving greater adoption and enhancing recruitment efforts. This development is expected to bolster SAP's competitiveness in cloud applications. Over the long-term, SAP's total shareholder return, including dividends, was over very large for the three-year period, indicating significant investor gains. This performance highlights the resilience and growth potential of SAP compared to the broader market, which returned 16.6% over the past year, although SAP's one-year return aligned with the German Software industry's gain of 57.4%. The partnerships and endorsements could positively influence revenue and earnings forecasts by expanding SAP's customer base and operational efficiency. Analysts forecast a growth rate of 12.1% annually in revenue, with earnings projected to more than double to €10.2 billion in the next few years. In light of these forecasts, the current share price of €255.3 sits reasonably close to the consensus price target of €279.05, suggesting moderate room for appreciation. Investors should consider SAP's potential to leverage its cloud and AI advancements along with current macroeconomic factors when evaluating the company's long-term investment appeal. Learn about SAP's historical performance here. This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned. Companies discussed in this article include XTRA:SAP. This article was originally published by Simply Wall St. Have feedback on this article? Concerned about the content? with us directly. Alternatively, email editorial-team@ Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
a day ago
- Business
- Yahoo
SAP (XTRA:SAP) Expands Talent Solutions with Phenom Endorsed App Integration
SAP achieved a notable milestone this quarter with Phenom's platform becoming an SAP Endorsed App, enhancing recruitment efforts for SAP SuccessFactors users. This development, coupled with substantial partnerships such as the one with Accenture for cloud pathways, are significant steps towards strengthening its market position. Despite these advancements, SAP's quarter ended with a stock price move of 3.81%, aligning with broader market trends which have risen 13% over the past year. While the company's strategic efforts may have influenced sentiment, the stock's performance broadly mirrored current market dynamics, reinforcing its stability amid broader economic conditions. Buy, Hold or Sell SAP? View our complete analysis and fair value estimate and you decide. Explore 22 top quantum computing companies leading the revolution in next-gen technology and shaping the future with breakthroughs in quantum algorithms, superconducting qubits, and cutting-edge research. SAP's recent collaboration with Phenom and Accenture is a promising move for its SuccessFactors platform, potentially driving greater adoption and enhancing recruitment efforts. This development is expected to bolster SAP's competitiveness in cloud applications. Over the long-term, SAP's total shareholder return, including dividends, was over very large for the three-year period, indicating significant investor gains. This performance highlights the resilience and growth potential of SAP compared to the broader market, which returned 16.6% over the past year, although SAP's one-year return aligned with the German Software industry's gain of 57.4%. The partnerships and endorsements could positively influence revenue and earnings forecasts by expanding SAP's customer base and operational efficiency. Analysts forecast a growth rate of 12.1% annually in revenue, with earnings projected to more than double to €10.2 billion in the next few years. In light of these forecasts, the current share price of €255.3 sits reasonably close to the consensus price target of €279.05, suggesting moderate room for appreciation. Investors should consider SAP's potential to leverage its cloud and AI advancements along with current macroeconomic factors when evaluating the company's long-term investment appeal. Learn about SAP's historical performance here. This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned. Companies discussed in this article include XTRA:SAP. This article was originally published by Simply Wall St. Have feedback on this article? Concerned about the content? with us directly. Alternatively, email editorial-team@ Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Forbes
4 days ago
- Business
- Forbes
3 Strategies For Building An AI-Literate Organization
Findings from recent SAP research indicates those with higher literacy were far more likely to expect positive outcomes from AI, and far less likely to feel fear, distress, or apprehension. By Dr. Autumn D. Krauss, Chief Scientist, Market Insights & Customer Engagement, SAP SuccessFactors The rapidly advancing nature of artificial intelligence presents a challenge for organizations and their workforces that want to embrace it. Everyone knows they need to adopt AI, but with AI-enabled tools and technology changing on a daily basis, it's hard to figure out how to jump in and start making sense of it all. This prompts the primary question of who is more likely to catch the AI wave by successfully building the right type of AI knowledge and skills and how they can best go about gaining them. To investigate this topic, my team of organizational scientists at SAP first conducted a global study in October 2024 to understand the AI attitudes and behaviors of workers across industries, gathering responses from 4,023 employees and managers. The questions were broad: Had respondents used AI tools at work? How optimistic—or anxious—did they feel about AI's growing role in the workplace? Were they confident in their own ability to work with these tools? Findings from that study showed that the biggest factor shaping how employees felt about AI at the time—whether they were hopeful, fearful, or somewhere in between—was their level of AI literacy. Did they know how to apply AI to achieve goals? Could they detect when they were interacting with AI? Could they assess the capabilities and limitations of the technology? These are the qualities of AI literacy. Those with higher literacy were far more likely to expect positive outcomes from AI, and far less likely to feel fear, distress, or apprehension. They were also more likely to express nuanced, mature views on how AI use should (or shouldn't) influence workplace decisions like promotion and compensation. It was too early to draw a straight line from an employee's AI literacy to business performance, but it made sense that workers most comfortable experimenting with new tools and spotting their practical value would also be the ones to help drive meaningful returns. How do you build that kind of AI-literate workforce? Our recent follow-up study of 4,030 employees and managers globally makes clear that even though different people require different kinds of support, three core strategies yield the strongest effect: experiential exposure, structured training, and the influence of an AI-literate organizational culture. More on each approach follows. The most effective way to build AI literacy is to let people get their hands dirty. For many, comfort with AI is like comfort behind the wheel when you're learning to drive. Manuals and even simulators are simply not a substitute. For organizations, this means giving employees low-stakes ways to experiment with AI. Let them use it to draft e-mails, summarize documents, or mockup project plans. The key is to keep the setting contained—such as internal communications or intramural projects—where mistakes are low-impact, quickly forgiven, and unlikely to reach customers or damage the company's reputation. While best practices are emerging, it is clear that AI training works best when it's specific to the tools people use, the jobs they hold, and the tasks they perform. Many employees don't realize that AI is already embedded in their applications—suggesting Outlook replies or auto-summarizing meetings in Zoom and Microsoft Teams. Helping them spot those features—while showing how much faster a task gets done with AI versus without—can build confidence. At the job-level, a good AI training program lifts workers' performance. For some employees, this may eventually involve learning how models are trained, tuned, and maintained. But for many others, practical essentials will suffice, such as how to craft effective prompts, where to find the right data inputs, and how to integrate AI outputs into their work. A strong training program also should help employees develop a feel for which parts of their work still call for a human touch. When training helps an employee work through these specifics, they can more effectively identify the uses of AI that will most benefit their work. Organizational science has long shown the power of company culture to influence employee attitudes and behaviors. Now there exists an opportunity to use these social dynamics to foster collective AI literacy. Specifically, leaders can and should: When it comes to AI, workers already know it matters and are already thinking seriously about how their jobs will change as a result of it. What they're looking for is help getting started, and AI literacy is the first step. A version of this story appears on
Hans India
12-05-2025
- Business
- Hans India
Mastering Complexity in Enterprise Projects: Why Functional Precision Matters More Than Ever
In today's rapidly evolving enterprise technology landscape, complexity isn't a challenge—it's a constant. Systems are deeply interconnected, requirements evolve at a moment's notice, and the pressure to deliver on time has never been greater. Amidst this turbulence, one factor remains critical: functional precision. Professionals like Balakrishna Teja Pillutla are redefining what it means to lead with clarity, precision, and purpose in this high-stakes environment. Balakrishna stands at the intersection of business vision and technical execution. While strategy defines where an organization wants to go and technology provides the tools to get there, it's the functional consultant who ensures that every moving part works in concert. His work in SAP HCM and SuccessFactors implementations exemplifies how vital this role is. Functional consultants may not always be in the spotlight, but their contributions are foundational—and Balakrishna's impact is a testament to that. Take, for example, a recent SAP SuccessFactors project where Balakrishna identified a critical data synchronization issue in the recruitment module. Left unchecked, it could have led to significant delays in onboarding new talent—a costly bottleneck for any organization. His proactive approach, which involved close collaboration with stakeholders and meticulous refinement of integration points, averted potential disruption and enabled a seamless rollout. It's the kind of behind-the-scenes precision that delivers real business value. Balakrishna doesn't just fix problems—he anticipates them. His ability to meticulously map end-to-end processes, foresee system friction points, and foster cross-functional alignment minimizes the risk of costly rework and post-launch issues. In an era where enterprise platforms are increasingly cloud-based and AI-integrated, such foresight is more crucial than ever. His expertise in platforms like SAP HCM and SuccessFactors supports the industry's push toward intelligent, scalable solutions that leave no room for error. What sets Balakrishna apart is not only his technical acumen but also his human-centered approach. His disciplined yet empathetic style makes even the most complex projects feel manageable. He brings calm to the chaos—not just through system knowledge, but by understanding people, priorities, and the bigger picture. As enterprise ecosystems grow more sophisticated and digitally driven, functional precision has emerged as a strategic imperative. It's not just about system accuracy—it's about ensuring business continuity, user adoption, and long-term success. In this context, Balakrishna Teja Pillutla exemplifies what the future of enterprise consulting looks like: precise, proactive, and profoundly human.
