Latest news with #AvePoint
Business Insider
02-06-2025
- Business
- Business Insider
Analysts Offer Insights on Technology Companies: PagerDuty (PD) and AvePoint (AVPT)
Companies in the Technology sector have received a lot of coverage today as analysts weigh in on PagerDuty (PD – Research Report) and AvePoint (AVPT – Research Report). Confident Investing Starts Here: PagerDuty (PD) Monness analyst Brian White maintained a Hold rating on PagerDuty on May 30. The company's shares closed last Friday at $14.26. According to White is a top 100 analyst with an average return of 17.7% and a 67.1% success rate. White covers the Technology sector, focusing on stocks such as Salesforce, Snowflake, and MongoDB. Currently, the analyst consensus on PagerDuty is a Hold with an average price target of $18.70, implying a 24.8% upside from current levels. In a report issued on May 21, TD Cowen also maintained a Hold rating on the stock with a $18.00 price target. AvePoint (AVPT) The company's shares closed last Friday at $18.65, close to its 52-week high of $19.90. According to Wood is a 5-star analyst with an average return of 15.0% and a 62.4% success rate. Wood covers the Technology sector, focusing on stocks such as Onestream, Inc. Class A, Klaviyo, Inc. Class A, and Rimini Street. Currently, the analyst consensus on AvePoint is a Strong Buy with an average price target of $21.00.
Forbes
20-05-2025
- Business
- Forbes
Why Data Quality, Security And Governance Will Always Drive AI Success
Dr. TJ Jiang, Chief Executive Officer and Co-Founder of AvePoint. getty The arrival of DeepSeek's R1 large language model (LLM) shocked the global AI ecosystem, causing many in the U.S. and Europe to reevaluate how we approach AI development. While LLMs from large organizations like Open AI, Anthropic, Meta and others were trained at tremendous expense, DeepSeek was trained for a fraction of the cost, though the financial numbers from DeepSeek have been called into question. Still, now that we know lean teams can develop AI models for significantly less money, a democratic revolution in AI development is already taking place, with businesses now empowered to develop their own models—a radical shift from the pre-DeepSeek world. Let me be clear: This is a good thing. More competition inevitably leads to greater innovation. We've seen this happen with cloud computing, open-source software, mobile operating systems and now AI. But this development doesn't solve the challenges that some organizations were facing before the arrival of DeepSeek. To do that, we must rethink the way we approach data security, data quality and data governance. A low-cost, open-source AI model means that high-quality LLMs are no longer the primary differentiator for businesses. Now, instead of focusing on developing or adopting the most complex model, it's about ensuring that models are efficiently and securely applied, refined and integrated within specific industries and business processes. This is why enterprise data is an increasingly key focal point. Companies like OpenAI, Anthropic, DeepSeek and others can train their models on vast public datasets, but they do not have access to enterprises' specific information. That proprietary data—such as customer interactions, operational insights and historical records—is what can make AI a true competitive advantage for businesses. In a recent survey, IBM found that 15% of forward-thinking AI businesses (whom IBM calls 'AI leaders') are already realizing measurable benefits from their AI initiatives. One key differentiator for these AI leaders is their ability to adapt AI models using their proprietary data. Rather than developing models from the ground up, these organizations refine and enhance existing AI platforms with unique datasets that competitors lack. To do this effectively, businesses will need to strengthen data quality, data governance and data security. AI models trained on unreliable, inconsistent, outdated or biased data produce poor results that can erode trust and hinder adoption. My company's "AI and Information Management Report" found 95% of organizations are experiencing challenges during AI implementation, with more than half (52%) specifically challenged with data quality and categorization during implementation. This highlights the critical importance of: • Data cleaning and augmentation to ensure high-quality training datasets. • Metadata tagging and structuring to enable seamless AI integration. • Bias detection and mitigation to improve model fairness and accuracy. Data governance is no longer just a compliance requirement; it is a fundamental enabler of AI success. Businesses need robust governance frameworks that: • Maintain data security and privacy, especially for AI training data. • Ensure compliance with evolving regulations like GDPR and CCPA, as well as new regulations such as the EU AI Act. • Standardize data access policies to prevent information silos. Transparent data governance isn't just regulatory. It's foundational to AI user adoption. The proliferation of open-source models driven by DeepSeek has highlighted the significant (but manageable) risks of open-source models. However, this is just one of the potential threats associated with AI adoption and use today. AI models, particularly LLMs, are highly vulnerable, among many other risks, to attacks like training data poisoning that can compromise AI integrity, prompt injection attacks where malicious inputs can manipulate AI responses and accidental exposure of confidential data. As AI moves from being a hypothetical prospect to a concrete business reality—something that I've spoken about recently—data security must always be top of mind. There are several steps that organizations can pursue to help mitigate vulnerabilities today: 1. Implement strong data governance. Weak data governance policies can lead to accidental disclosures from poorly organized and secured data. By classifying or tagging data according to confidentiality and risk, organizations can limit their vulnerability. Strong data governance also helps organizations improve the output of their AI tools. 2. Be diligent about security and compliance. While the U.S. federal government is taking an increasingly hands-off approach to AI regulation, state governments are still drafting their own legislation and other regions like the EU are taking aggressive steps to legislate compliance. The EU AI Act, for example, is sweeping and powerful and affects organizations and individuals well beyond the EU's borders. As these regulations continue to proliferate, organizations need effective, model-agnostic solutions to manage compliance to avoid consequences from regulators. 3. Proactively measure and enhance AI-readiness. Organizations can measure and enhance AI readiness both by using technology to strengthen data security and compliance and by implementing governance strategies to regularly evaluate their AI models for vulnerabilities. Doing this proactively helps mitigate risks such as training data poisoning, prompt injection attacks and accidental data exposure, driving robust and secure AI adoption. AI's value creation has shifted. No longer is the most advanced model the key differentiator. Instead, it is the proprietary data that fuels these models. With foundational AI models becoming commoditized, businesses must now focus on structuring, governing and using their own datasets to drive innovation and competitive advantage. With enterprises prioritizing secure AI deployments, it's essential to ensure proprietary data is truly an asset, not a liability. Companies that invest in robust data management strategies will be the ones that thrive in the AI-driven future. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
Yahoo
11-05-2025
- Business
- Yahoo
AvePoint, Inc. (NASDAQ:AVPT) Just Released Its First-Quarter Results And Analysts Are Updating Their Estimates
Shareholders of AvePoint, Inc. (NASDAQ:AVPT) will be pleased this week, given that the stock price is up 10% to US$18.85 following its latest first-quarter results. Results overall were respectable, with statutory earnings of US$0.02 per share roughly in line with what the analysts had forecast. Revenues of US$93m came in 4.9% ahead of analyst predictions. The analysts typically update their forecasts at each earnings report, and we can judge from their estimates whether their view of the company has changed or if there are any new concerns to be aware of. With this in mind, we've gathered the latest statutory forecasts to see what the analysts are expecting for next year. We've found 21 US stocks that are forecast to pay a dividend yield of over 6% next year. See the full list for free. Taking into account the latest results, the consensus forecast from AvePoint's eight analysts is for revenues of US$399.3m in 2025. This reflects a decent 14% improvement in revenue compared to the last 12 months. Earnings are expected to improve, with AvePoint forecast to report a statutory profit of US$0.04 per share. In the lead-up to this report, the analysts had been modelling revenues of US$384.3m and earnings per share (EPS) of US$0.025 in 2025. There's been a pretty noticeable increase in sentiment, with the analysts upgrading revenues and making a considerable lift to earnings per share in particular. Check out our latest analysis for AvePoint Althoughthe analysts have upgraded their earnings estimates, there was no change to the consensus price target of US$19.29, suggesting that the forecast performance does not have a long term impact on the company's valuation. It could also be instructive to look at the range of analyst estimates, to evaluate how different the outlier opinions are from the mean. The most optimistic AvePoint analyst has a price target of US$26.00 per share, while the most pessimistic values it at US$16.00. This shows there is still a bit of diversity in estimates, but analysts don't appear to be totally split on the stock as though it might be a success or failure situation. Looking at the bigger picture now, one of the ways we can make sense of these forecasts is to see how they measure up against both past performance and industry growth estimates. The period to the end of 2025 brings more of the same, according to the analysts, with revenue forecast to display 20% growth on an annualised basis. That is in line with its 18% annual growth over the past three years. Compare this with the broader industry, which analyst estimates (in aggregate) suggest will see revenues grow 12% annually. So although AvePoint is expected to maintain its revenue growth rate, it's definitely expected to grow faster than the wider industry. The biggest takeaway for us is the consensus earnings per share upgrade, which suggests a clear improvement in sentiment around AvePoint's earnings potential next year. Pleasantly, they also upgraded their revenue estimates, and their forecasts suggest the business is expected to grow faster than the wider industry. There was no real change to the consensus price target, suggesting that the intrinsic value of the business has not undergone any major changes with the latest estimates. With that said, the long-term trajectory of the company's earnings is a lot more important than next year. At Simply Wall St, we have a full range of analyst estimates for AvePoint going out to 2027, and you can see them free on our platform here.. You can also see our analysis of AvePoint's Board and CEO remuneration and experience, and whether company insiders have been buying stock. Have feedback on this article? Concerned about the content? Get in touch with us directly. Alternatively, email editorial-team (at) 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.
Yahoo
05-05-2025
- Business
- Yahoo
AvePoint to Participate in May Investor Conferences
JERSEY CITY, N.J., May 05, 2025 (GLOBE NEWSWIRE) -- AvePoint (Nasdaq: AVPT), the global leader in data security, governance and resilience, today announced that members of the Company's executive management team will present at the following investor conferences: TD Cowen 53rd Annual Technology, Media & Telecom Conference (New York, NY): Thursday, 5/29 at 2:25 pm ET Jefferies Public Technology Conference (Newport Coast, CA): Thursday, 5/29 at 10:30am PT In addition, AvePoint will attend the following investor conferences: 20th Annual Needham Technology, Media & Consumer 1x1 Conference (Virtual): Monday, 5/12 Evercore ISI Software 1x1 Day (New York, NY): Thursday, 5/29 Morgan Stanley Virtual ASEAN Conference 2025 (Virtual): Thursday, 5/29 A live and archived audio webcast of all presentations will be available on the AvePoint Investor Relations website. About AvePoint: Beyond Secure. AvePoint is the global leader in data security, governance, and resilience, going beyond traditional solutions to ensure a robust data foundation and enable organizations everywhere to collaborate with confidence. Over 25,000 customers worldwide rely on the AvePoint Confidence Platform to prepare, secure, and optimize their critical data across Microsoft, Google, Salesforce, and other collaboration environments. AvePoint's global channel partner program includes approximately 5,000 managed service providers, value-added resellers, and systems integrators, with our solutions available in more than 100 cloud marketplaces. To learn more, visit Forward-Looking Statements: This press release contains certain forward-looking statements within the meaning of the 'safe harbor' provisions of the United States Private Securities Litigation Reform Act of 1995 and other federal securities laws including statements regarding the future performance of and market opportunities for AvePoint. These forward-looking statements generally are identified by the words 'believe,' 'project,' 'expect,' 'anticipate,' 'estimate,' 'intend,' 'strategy,' 'future,' 'opportunity,' 'plan,' 'may,' 'should,' 'will,' 'would,' 'will be,' 'will continue,' 'will likely result,' and similar expressions. Forward-looking statements are predictions, projections and other statements about future events that are based on current expectations and assumptions and, as a result, are subject to risks and uncertainties. Many factors could cause actual future events to differ materially from the forward-looking statements in this press release, including but not limited to: changes in the competitive and regulated industries in which AvePoint operates, variations in operating performance across competitors, changes in laws and regulations affecting AvePoint's business and changes in AvePoint's ability to implement business plans, forecasts, and ability to identify and realize additional opportunities, and the risk of downturns in the market and the technology industry. You should carefully consider the foregoing factors and the other risks and uncertainties described in the 'Risk Factors' section of AvePoint's most recent Annual Report on Form 10-K. Copies of this and other documents filed by AvePoint from time to time are available on the SEC's website, This filing identifies and addresses other important risks and uncertainties that could cause actual events and results to differ materially from those contained in the forward-looking statements. Forward-looking statements speak only as of the date they are made. Readers are cautioned not to put undue reliance on forward-looking statements, and AvePoint does not assume any obligation and does not intend to update or revise these forward-looking statements after the date of this release, whether as a result of new information, future events, or otherwise, except as required by law. AvePoint does not give any assurance that it will achieve its expectations. Unless the context otherwise indicates, references in this press release to the terms 'AvePoint,' 'the Company,' 'we,' 'our' and 'us' refer to AvePoint, Inc. and its subsidiaries. Disclosure Information: AvePoint uses the website as a means of disclosing material non-public information and for complying with its disclosure obligations under Regulation FD. Investor ContactAvePointJamie Arestiair@ 220-5654 Media ContactAvePointNicole Cacipr@ 201-8143Sign in to access your portfolio
Techday NZ
22-04-2025
- Business
- Techday NZ
AvePoint unveils security upgrades for Elements Platform to aid MSPs
AvePoint has introduced new data security and management features to its Elements Platform aimed at supporting managed service providers (MSPs). The latest developments follow AvePoint's acquisition of Ydentic and the rollout of its next-generation Elements Platform earlier in 2025. The managed security services sector is estimated to reach USD $56.6 billion by 2027, with more than 80% of MSPs currently offering managed detection and response services. Almost all providers are planning to expand their portfolios with additional security services. AvePoint's updates are designed to help MSPs secure client data and introduce new service lines as the demand for managed security grows. Scott Sacket, Senior Vice President of Partner Strategy at AvePoint, said, "As technology advances and security challenges intensify, MSPs face increasing pressure to scale operations, enhance security, and unlock new revenue streams. The newest additions to the AvePoint Elements Platform give MSPs and channel partners the edge they need to drive business growth and augment their service offerings – by securing, managing, and protecting clients' critical business data." Two features are now available on the AvePoint Elements Platform: enhancements for user lifecycle management and unified device management and security. The update introduces User Lifecycle Management capabilities that automate tasks related to user provisioning and management. MSPs can enforce Multi-Factor Authentication, revoke active user sessions, and manage user access securely and efficiently across client environments. AvePoint's platform leverages intelligent automation and centralised controls to help MSPs reduce administrative workload, improve operational efficiency, and maintain security standards, which the company states are expected to provide both efficiency and profitability improvements for service providers. The second feature, Device Management capabilities, enables central management of devices across multiple clients, reducing the need for routine manual intervention. The system can automate processes like setting compliance policies, deploying applications, and enforcing security protocols such as remote device wipes, security scans, and policy synchronisation. According to AvePoint, these tools help MSPs maintain security while allowing their services to scale according to demand. Heather Deggans, Vice President ISV Partnerships at Microsoft, commented, "AvePoint continues to develop solutions purpose-built for partners that benefit everyone who uses Microsoft technology. "With the latest enhancements to the AvePoint Elements Platform, partners can deliver more intelligent and proactive data security, governance and management strategies to their customers. This level of automation and efficiency in one single solution allows users to forge more effective and resilient digital workplaces and make the most of their Microsoft investments." AvePoint reports that its global partner programme, which includes approximately 5,000 MSPs, value-added resellers, and systems integrators, is designed to equip partners with technologies suitable for a variety of collaboration environments, including Microsoft, Google, and Salesforce platforms.
