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CallMiner Named a Leader in Conversation Intelligence for Contact Centers Report by Top Analyst Firm
CallMiner Named a Leader in Conversation Intelligence for Contact Centers Report by Top Analyst Firm

Associated Press

time4 days ago

  • Business
  • Associated Press

CallMiner Named a Leader in Conversation Intelligence for Contact Centers Report by Top Analyst Firm

WALTHAM, Mass.--(BUSINESS WIRE)--Jun 5, 2025-- CallMiner, the leading provider of AI-powered conversation intelligence to improve customer experience (CX), today announced that Forrester Research identified the company as a Leader in The Forrester Wave™: Conversation Intelligence Solutions for Contact Centers, Q2 2025. The CallMiner platform received the highest scores possible across seven criteria within the current offering category, including insights exploration, topic and behavior classification, signal extraction, coaching efficiency and effectiveness, natural language interface, and more. The report states, 'CallMiner's greatest strength lies in its mastery of contact center workflows and its ability to translate that expertise into a flexible toolkit. It is one of the few vendors that consistently delivers on foundational capabilities like topic and behavior classification and insights exploration.' The report continues, 'CallMiner builds on this strong foundation with its natural language interface 'AI Assist,' the cornerstone of its new agentic AI framework.' CallMiner received the top score in the strategy category, with the highest scores possible in the vision, partner ecosystem, and adoption criteria. According to the Forrester report, 'CallMiner has consistently championed contact center data as a pivotal catalyst for enterprisewide value...' Additionally, 'CallMiner's vision sets its ambitions beyond contact center operations and on more strategic CX pastures; its recent innovations and roadmap emphasize fostering deeper customer understanding and bridging the gap to actionable interventions.' Through advanced AI, including generative AI and agentic AI, the CallMiner platform extracts valuable insights from omnichannel customer interactions at scale, revealing actionable intelligence from every conversation. The platform enables organizations to improve operational efficiency, while elevating agent performance and improving customer experience. Reference customers interviewed for the report 'are eager to adopt the vendor's newest AI features, believing that they will accelerate time to value.' 'Today's organizations already have a wealth of contact center data – but what many lack are the solutions needed to turn that data into actionable intelligence,' said Jeff Gallino, CEO and founder, CallMiner. 'I truly believe that CallMiner stands alone as the go-to platform for modern organizations looking to embrace AI and automation, and transform contact center and customer experience initiatives. For us, this recognition only strengthens our commitment to fostering innovation, helping our customers realize value and ROI, and raising the bar in the conversation intelligence industry.' According to Forrester, 'CallMiner best fits enterprises with sophisticated operations that are ready to evolve from collecting insights to driving impact through automated actions.' The Forrester Wave™: Conversation Intelligence Solutions for Contact Centers, Q2 2025 report is available source version on CONTACT: Media: Inkhouse on behalf of CallMiner [email protected] KEYWORD: UNITED STATES NORTH AMERICA MASSACHUSETTS INDUSTRY KEYWORD: COMMUNICATIONS DIGITAL MARKETING TECHNOLOGY DATA ANALYTICS SOFTWARE ARTIFICIAL INTELLIGENCE SOURCE: CallMiner Copyright Business Wire 2025. PUB: 06/05/2025 09:15 AM/DISC: 06/05/2025 09:15 AM

CallMiner Named a Leader in Conversation Intelligence for Contact Centers Report by Top Analyst Firm
CallMiner Named a Leader in Conversation Intelligence for Contact Centers Report by Top Analyst Firm

Business Wire

time4 days ago

  • Business
  • Business Wire

CallMiner Named a Leader in Conversation Intelligence for Contact Centers Report by Top Analyst Firm

WALTHAM, Mass.--(BUSINESS WIRE)-- CallMiner, the leading provider of AI-powered conversation intelligence to improve customer experience (CX), today announced that Forrester Research identified the company as a Leader in The Forrester Wave™: Conversation Intelligence Solutions for Contact Centers, Q2 2025. The CallMiner platform received the highest scores possible across seven criteria within the current offering category, including insights exploration, topic and behavior classification, signal extraction, coaching efficiency and effectiveness, natural language interface, and more. The report states, 'CallMiner's greatest strength lies in its mastery of contact center workflows and its ability to translate that expertise into a flexible toolkit. It is one of the few vendors that consistently delivers on foundational capabilities like topic and behavior classification and insights exploration.' The report continues, 'CallMiner builds on this strong foundation with its natural language interface 'AI Assist,' the cornerstone of its new agentic AI framework.' CallMiner received the top score in the strategy category, with the highest scores possible in the vision, partner ecosystem, and adoption criteria. According to the Forrester report, 'CallMiner has consistently championed contact center data as a pivotal catalyst for enterprisewide value...' Additionally, 'CallMiner's vision sets its ambitions beyond contact center operations and on more strategic CX pastures; its recent innovations and roadmap emphasize fostering deeper customer understanding and bridging the gap to actionable interventions.' Through advanced AI, including generative AI and agentic AI, the CallMiner platform extracts valuable insights from omnichannel customer interactions at scale, revealing actionable intelligence from every conversation. The platform enables organizations to improve operational efficiency, while elevating agent performance and improving customer experience. Reference customers interviewed for the report 'are eager to adopt the vendor's newest AI features, believing that they will accelerate time to value.' 'Today's organizations already have a wealth of contact center data – but what many lack are the solutions needed to turn that data into actionable intelligence,' said Jeff Gallino, CEO and founder, CallMiner. 'I truly believe that CallMiner stands alone as the go-to platform for modern organizations looking to embrace AI and automation, and transform contact center and customer experience initiatives. For us, this recognition only strengthens our commitment to fostering innovation, helping our customers realize value and ROI, and raising the bar in the conversation intelligence industry.' According to Forrester, 'CallMiner best fits enterprises with sophisticated operations that are ready to evolve from collecting insights to driving impact through automated actions.' The Forrester Wave™: Conversation Intelligence Solutions for Contact Centers, Q2 2025 report is available here. Forrester does not endorse any company, product, brand, or service included in its research publications and does not advise any person to select the products or services of any company or brand based on the ratings included in such publications. Information is based on the best available resources. Opinions reflect judgment at the time and are subject to change. For more information, read about Forrester's objectivity here. About CallMiner CallMiner is the global leader in AI-powered conversation intelligence to improve customer experience (CX). CallMiner delivers the industry's most comprehensive platform to analyze omnichannel customer interactions at scale, combining deep domain expertise with cutting edge AI technology and machine learning. By uncovering better intelligence, CallMiner enables companies to identify areas of opportunity to drive better experiences, ultimately leading to business improvement, growth and transformational change. CallMiner is trusted by the world's leading organizations across all major verticals including technology, media and telecom (TMT), retail, manufacturing, financial services, healthcare, and travel and hospitality. To learn more, visit read the CallMiner blog, or follow us on LinkedIn, Twitter and Facebook.

MDaudit Releases 'AI Assist' to Empower Healthcare Revenue Integrity Teams with Rapid, Actionable Responses to Drive Financial Outcomes
MDaudit Releases 'AI Assist' to Empower Healthcare Revenue Integrity Teams with Rapid, Actionable Responses to Drive Financial Outcomes

Associated Press

time02-04-2025

  • Business
  • Associated Press

MDaudit Releases 'AI Assist' to Empower Healthcare Revenue Integrity Teams with Rapid, Actionable Responses to Drive Financial Outcomes

By harnessing the power of AI and NLP, AI Assist takes just seconds to tame massive volumes of healthcare data and transform it into strategic insights for more intelligent decision-making. WELLESLEY, MA / ACCESS Newswire MDaudit, an award-winning cloud-based continuous risk monitoring platform for RCM that enables the nation's premier healthcare organizations to minimize billing risks and maximize revenues, today announced the latest AI-powered enhancement to its award-winning revenue integrity platform. AI Assist leverages artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) to instantly transform an overwhelming volume of billing, audit, and payment data into clear, intelligent, and actionable insights. Intuitive and easy to use, revenue integrity professionals simply type in their questions in natural language into AI Assist, which automatically computes complex formulas and instantly returns clear, concise, and actionable responses, regardless of the query's complexity. AI Assist is also intuitive, ensuring that follow-up questions are addressed as precisely as the original query and as quickly as they would be if they were posed during a discussion with RCM peers. 'Effective revenue cycle management hinges on strategic decision-making informed by actionable insights that drive financial outcomes. More data behind those insights should translate into better decisions, not greater risk. Yet absent the proper tools to manage it, the sheer volume and complexity of healthcare data can overwhelm even seasoned RCM professionals. AI Assist is transformative in this situation,' says Lee-Ann Ruf, Senior Vice President, Product Management, MDaudit. 'AI Assist boosts human productivity and speed-to-value by transforming how revenue integrity teams interact with data to make smarter and more strategic decisions. We are leveling the playing field by preventing these teams from getting bogged down by the need for highly technical or advanced data analytics skills,' says Ritesh Ramesh, CEO, MDaudit. 'Whether identifying top denial drivers, tracking audit outcomes, or uncovering revenue opportunities, AI Assist maximizes operational efficiency to understand revenue risks and opportunities. It is simple to use and does not require AI expertise or experience.' About MDaudit MDaudit is a leading healthcare technology provider that partners with the nation's premier healthcare systems to reduce compliance risk, improve efficiency, retain revenue, and enhance communication between cross-functional teams. Bringing solutions to an industry in transformation, MDaudit enables organizations to minimize billing risks and maximize revenue with an AI-powered, integrated, cloud-based platform that leverages the power of collaboration between people and sophisticated technology to keep humans at the forefront of decision-making while driving sustainable change. To learn more, visit # # # Rachel Driskell | Email

Upland Software Inc (UPLD) Q4 2024 Earnings Call Highlights: Strong Recurring Revenue and ...
Upland Software Inc (UPLD) Q4 2024 Earnings Call Highlights: Strong Recurring Revenue and ...

Yahoo

time13-03-2025

  • Business
  • Yahoo

Upland Software Inc (UPLD) Q4 2024 Earnings Call Highlights: Strong Recurring Revenue and ...

Recurring Revenue: Beat expectations in Q4 2024. Adjusted EBITDA: $14.9 million in Q4 2024, up sequentially from Q3. Adjusted EBITDA Margin: Improved to 22% in Q4 2024, up from 19% in Q4 2023. Free Cash Flow: $9 million in Q4 2024; $23.4 million for the full year 2024. Net Dollar Retention Rate: 96% at the end of 2024, up from 95% in the prior year. New Customers: 110 new customers in Q4 2024, including 21 major customers. Debt Paydown: $33 million paid down in 2025 to date; $189 million paid down in 2024. 2025 Revenue Guidance: Reduced by $18 million due to divestitures, with no impact on adjusted EBITDA. 2025 Core Organic Growth Guidance: Projected at 2.5%. 2025 Adjusted EBITDA Margin Guidance: Expected to increase to 24% from 20% in 2024. Warning! GuruFocus has detected 6 Warning Signs with UPLD. Release Date: March 12, 2025 For the complete transcript of the earnings call, please refer to the full earnings call transcript. Upland Software Inc (NASDAQ:UPLD) beat its recurring revenue expectations and met the midpoint of its adjusted EBITDA guidance for Q4 2024. The company reported a net dollar retention rate of 96% at the end of 2024, an improvement from 95% in the prior year. Upland Software Inc (NASDAQ:UPLD) welcomed 110 new customers in Q4, including 21 major customers, and expanded relationships with 291 existing customers. The company earned 76 badges in the G2 Winter 2025 market reports, showing strong recognition for its products. Upland Software Inc (NASDAQ:UPLD) divested two non-strategic underperforming product lines, simplifying its business and focusing on growth products. Core organic growth in Q4 was flat, although there is positive growth momentum expected in 2025. The divestitures lowered the 2025 revenue guide by about $18 million, although they had no adjusted EBITDA impact. Upland Software Inc (NASDAQ:UPLD) expects a decline in total revenue of 12% at the midpoint for Q1 2025 compared to the same quarter in 2024. The company is facing a decline in total revenue of 11% at the midpoint for the full year 2025 compared to 2024. Upland Software Inc (NASDAQ:UPLD) has a wide revenue guidance range for Q1 2025, indicating uncertainty in revenue projections. Q: Can you discuss Upland's AI strategy and its impact on growth? A: Jack McDonald, CEO: Upland has invested significantly in AI, enabling 80% of our core content and knowledge management products. Products like BA Insight and Panviva are now AI-enabled, enhancing enterprise search and customer service. This AI strategy is foundational for our growth, with notable sales like a $500,000 ARR deal for Qvidian's AI Assist. We expect AI to drive higher growth rates in the coming years. Q: What is the status of Upland's asset divestiture strategy, and what were the proceeds from recent sales? A: Mike Hill, CFO: We sold two non-strategic product lines for about $10 million in total. The revenue from these divested assets was $18 million, but they had no impact on adjusted EBITDA. The divestitures help focus our business and improve core organic growth. Q: How is Upland addressing its debt, and what are the plans for refinancing? A: Jack McDonald, CEO: We have paid down $261 million in debt since the HGGC investment. Our current debt is hedged at a 5.4% interest rate, and we plan to continue paying down up to $2 million per month. We aim to refinance in the second half of this year, considering the attractive current rate and lower principal amount. Q: Can you elaborate on the improvement in net dollar retention rates? A: Jack McDonald, CEO: The improvement to a 96% net dollar retention rate is driven by better gross dollar retention, thanks to product investments and focusing on our strongest products. We aim to reach a 98% retention rate by the end of 2025, with expansion opportunities from AI-enabled products. Q: Why is there a wide range in the Q1 revenue guidance? A: Mike Hill, CFO: The guidance range of $59 million to $65 million is consistent with past quarters. The range accounts for variability in perpetual license and professional services revenue, which can be lumpy. For the complete transcript of the earnings call, please refer to the full earnings call transcript. This article first appeared on GuruFocus. Sign in to access your portfolio

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