Independent Study Reveals 236% ROI with Dovetail's AI-First Customer Intelligence Platform
Article content
Total Economic Impact™ study highlights significant cost savings, faster time-to-insight, and productivity gains for organizations using Dovetail
Article content
SAN FRANCISCO & SYDNEY — A newly commissioned study conducted by Forrester Consulting on behalf of Dovetail has found that organizations using Dovetail's AI-first customer intelligence platform achieved a 236% return on investment (ROI) over three years, with payback occurring within under six months.
Article content
Article content
Released in April 2025, the Total Economic Impact™ of Dovetail study examines the financial and operational benefits of using Dovetail to unify, analyze, and act on customer insights. Based on interviews with Dovetail customers, combined to form a composite organization model, the study found that businesses:
Article content
Realized over $1.05 million in productivity gains through streamlined workflows
Generated $507,000 in additional profit by increasing primary user capacity by 30%, enabling faster product iterations
Saved 36,000 hours over three years on manual research processes such as transcript checks and cross-video analysis
Saved $416,000 over three years by retiring legacy research tools, transcription services, and repositories
Article content
'Instead of taking days to analyze the results, you get it almost instantly per session,' said the Head of Research and Insights at a healthcare organization featured in the study. 'Now, the production time alone of saving three days or more is significant to speed to market. The sooner you capture value in the market, the sooner you get a return on investment. So that alone I would say speeds [projects] up by at least 30%.'
Article content
A Design Research Lead at an IT services company added: 'Without Dovetail, we would either need more researchers, or we would just have to accept poor quality. We would probably be talking about an additional five to 10 researchers, which is 30% more. Using Dovetail early in the product lifecycle has enabled us to support more projects, including several with seven-figure outcomes.'
Article content
Customers also cited improved collaboration across departments, stronger alignment on customer needs, and greater agility in product development and strategic planning.
Article content
'The fastest-growing companies today aren't just shipping fast, they're shipping the right things,' said Benjamin Humphrey, CEO and co-founder of Dovetail. 'We believe this study validates what our customers experience every day: when teams are aligned around real customer intelligence, they move faster, waste less, and build with confidence. We're proud to partner with forward-thinking teams who are proving that better customer understanding drives better outcomes.'
Article content
Article content
Article content
Article content
Article content
Article content
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Globe and Mail
30 minutes ago
- Globe and Mail
What Are the Top 5 Artificial Intelligence (AI) Stocks to Buy Right Now?
Artificial intelligence (AI) has the potential to be the most important technological advancement in history, and it still appears to be in its early innings. As such, the space is still one of the most promising places to invest. When delving down to specific stocks to focus attention on, five of the best AI-related offerings to buy right now are Nvidia (NASDAQ: NVDA), Broadcom (NASDAQ: AVGO), Taiwan Semiconductor Manufacturing (NYSE: TSM), Palantir Technologies (NASDAQ: PLTR), and GitLab (NASDAQ: GTLB). Each company has found a unique niche in the AI sector to exploit, and each has big opportunities ahead. Let's look at why these are among the best AI stocks to invest in right now for the long term. 1. Nvidia Nvidia's graphics processing units (GPUs) have become the backbone of AI infrastructure. These powerful chips are used to help power AI workloads, and demand has been soaring. The company's wide moat, however, comes from its CUDA software platform. Nvidia launched CUDA two decades ago to allow developers to program its GPUs more easily. It pushed CUDA into universities and research institutions early on, which helped CUDA become the de facto software program for AI developers. In Q1, the company had an over 90% market share in the GPU space. As a result, where AI infrastructure spending goes, Nvidia is sure to follow. While a slowdown in data center spending would be a risk, right now, demand for AI chips is only getting bigger. This is being driven by cloud computing companies pouring money into AI infrastructure to keep up with demand; large tech companies and AI start-ups spending big to create new foundational AI models; and even countries making large investments to not fall behind in the AI race. As AI infrastructure spending continues to ramp up, Nvidia remains a clear winner. 2. Broadcom Another company taking advantage of the AI infrastructure build-out is Broadcom. Rather than designing GPUs like Nvidia, it's been focused on networking components and helping customers design custom AI chips. It also added a software component when it acquired VMWare. Thus far, its strategy is paying off. Its Ethernet switches and other networking components help efficiently move data within huge AI clusters, making them an essential part of data center infrastructure. Last quarter, its AI networking revenue soared 70% and accounted for 40% of Broadcom's total AI revenue. However, Broadcom's biggest long-term opportunity comes from helping customers design custom AI chips, which can offer better performance and lower power consumption than off-the-shelf GPUs. Demand is starting to pick up. Broadcom says its top three custom chip customers are on track to deploy 1 million AI chip clusters each by 2027, representing a total opportunity of between $60 billion to $90 billion. On the software side, Broadcom also benefits from transitioning VMWare customers from perpetual licenses to a subscription models and upgrading them to its VMware Cloud Foundation (VCF) platform. VCF helps customers build hybrid and multi-cloud environments so they can manage workloads across public clouds and their own on-premises data centers. At the end of last quarter, 87% of its top 10,000 customers had adopted VCF. While an AI infrastructure spending slowdown is a risk, given its networking leadership, custom AI chip opportunity, and growing software revenue, Broadcom is well-positioned moving forward. 3. Taiwan Semiconductor Manufacturing While semiconductor companies garner most of the attention from investors, Taiwan Semiconductor Manufacturing is the company that actually manufactures most of these AI chips. It's the clear leader in advanced semiconductor manufacturing and a key partner to top customers like Nvidia, Apple, and Broadcom. Meanwhile, AI is driving its business. High-performance computing now makes up 59% of its revenue, up from 46% a year ago. Most of that comes from advanced nodes. Nodes refer to the manufacturing process used to make chips. The smaller the number (measured in nanometers), the more transistors you can pack onto a chip. This improves a chip's performance and power efficiency, and TSMC is the best in the world at making these at scale. And with rivals struggling to make advanced chips, this has given TSMC strong pricing power, as well. The biggest risk to TSMC is a slowdown in AI infrastructure spending, which would hit both revenue and fab utilization. However, the company is working closely with its largest customers to build out capacity in lockstep with their demand. With advanced-node capacity tight, TSMC is well-positioned to continue to be an AI infrastructure build-out winner. 4. Palantir Technologies Palantir Technologies has emerged as a key player in the AI space. Instead of putting resources into developing AI models, the company focuses on the applications and workflow layers of AI to essentially develop an AI operating system. It does this by gathering data from a wide array of sources and organizing it into an ontology that links the data to its real-world counterparts. As a result, the company's AI Platform (AIP) can help organizations solve complex problems. This includes everything from monitoring sepsis in hospitals to streamlining underwriting processes in insurance. The sheer number of use cases across various industries that AIP can handle is just an enormous opportunity for Palantir moving forward. The company saw its revenue growth consistently accelerate over the past two years, including a 39% increase last quarter. The stock is not without risks, as it carries a high valuation and is exposed to government budget cuts, since the federal government is still its largest client. However, Palantir is unique in the AI space and has one of the biggest opportunities in front of it. 5. GitLab GitLab is a leader in the DevSecOps space, offering a platform that helps developers build software securely. It's been an AI winner, as customers expand seats and upgrade to its higher-tier platforms as AI increases the customers' software development. GitLab is also helping customers become more productive with products like GitLab Duo, which uses AI to provide code suggestions and automation to streamline development. The company consistently delivered strong revenue growth of between 25% to 40% over the past two years and boasts impressive gross margins and solid free cash flow. It's also done a great job growing within its existing customer base, as evidenced by its 122% dollar-based net retention over the past 12 months. Most of this is coming from seat expansions, followed by strong upgrades to higher-tiered offerings. While there has been concern that AI will replace coders, right now the opposite has been true, as GitLab's technology is being used to make software developers more productive, not replace them. This is driving strong growth and makes the company look like a solid long-term winner. Should you invest $1,000 in Nvidia right now? Before you buy stock in Nvidia, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the 10 best stocks for investors to buy now… and Nvidia wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $659,171!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $891,722!* Now, it's worth noting Stock Advisor 's total average return is995% — a market-crushing outperformance compared to172%for the S&P 500. Don't miss out on the latest top 10 list, available when you join Stock Advisor. See the 10 stocks » *Stock Advisor returns as of June 9, 2025
Globe and Mail
8 hours ago
- Globe and Mail
2 No-Brainer Artificial Intelligence Stocks to Buy Right Now
No matter where you are on the artificial intelligence (AI) debate -- for or against -- there's no denying that it's transforming the way people work. Companies of all shapes and sizes are integrating into their daily workflows, and new industries are popping up because of it. The mass adoption of AI could result in a market size of more than $15 trillion by 2030, according to PwC research. Where to invest $1,000 right now? Our analyst team just revealed what they believe are the 10 best stocks to buy right now. Learn More » Fortunately, there are tons of AI companies out there that actually have a foothold in the market and aren't just flash-in-the-pan opportunities. Here are two well-established companies that are already benefiting from this trend and could be great AI stocks for years to come. 1. Taiwan Semiconductor Taiwan Semiconductor Manufacturing (NYSE: TSM) does exactly what its name describes -- it manufactures processors for companies. The world's leading chip designers, including Nvidia, rely on Taiwan Semiconductor (often referred to as TSMC) to make their processors because the company is so good at it. TSMC manufactures an estimated 90% of the world's artificial intelligence semiconductors, making it the clear leader in this market. This dominance led to TSMC's revenue rising 41% in the first quarter of 2025 to $25.5 billion and diluted earnings per share jumping 60% to $2.12 per American depository receipt (ADR). TSMC relies on its technological lead in semiconductor manufacturing to stay ahead of its competitors, and so far, it's still leading the pack. The company is focused on its 5-nanometer (nm) and 3nm chip production and management said recently that there continues to be "strong demand" for both. The company's CEO, C.C. Wei, said early this year he expects TSMC's artificial intelligence revenue to double this year compared to last year and recently reiterated that forecast. Taiwan Semiconductor stock has already gained 142% over the past three years, so what makes the stock a buy right now? Demand for semiconductors hasn't slowed down yet, and no one knows when or if it will. Companies are locked in an AI race right now, and a big part of that involves getting their hands on the most advanced AI chips. With TSMC's dominance in semiconducting manufacturing and it already holding a lead in advanced AI processors, the company is poised to benefit from chip demand as long as tech giants need the best processors available. And despite its share price gains, TSMC stock has a price to earnings ratio of just 25, which is below the P/E multiple of the broader S&P 500. 2. Microsoft Microsoft (NASDAQ: MSFT) has made itself an important player in artificial intelligence by making strategic investments in ChatGPT creator OpenAI over the past several years. The early move gave Microsoft access to one of the most advanced AI chatbots on the market, and it quickly implemented ChatGPT into everything from its Microsoft 365 suite of productivity tools to its GitHub Copilot coding assistant. That's helped Microsoft stay relevant in a rapidly shifting tech market and benefit from AI's growth. Part of Microsoft's AI strategy has been to offer more advanced services with its Azure cloud computing platform, which has helped result in a 35% jump in cloud services sales in the fiscal third quarter (which ended March 31). Microsoft is the second-largest public cloud computing provider with 21% market share, trailing only Amazon, which holds 30%. Microsoft has narrowed this gap over the past few years, and its investments in artificial intelligence infrastructure could make it an even stronger contender. The company will spend $80 billion on cloud infrastructure this fiscal year alone to stay ahead of the competition. Microsoft's stock is a bit more expensive than Taiwan Semiconductor's, with a P/E multiple of 36. But with Microsoft already off to a strong start in implementing advanced AI into its software and benefiting from AI cloud services, the company is setting itself up to remain a leading tech player for years to come. Should you invest $1,000 in Taiwan Semiconductor Manufacturing right now? Before you buy stock in Taiwan Semiconductor Manufacturing, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the 10 best stocks for investors to buy now… and Taiwan Semiconductor Manufacturing wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $659,171!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $891,722!* Now, it's worth noting Stock Advisor 's total average return is995% — a market-crushing outperformance compared to172%for the S&P 500. Don't miss out on the latest top 10 list, available when you join Stock Advisor. See the 10 stocks » *Stock Advisor returns as of June 9, 2025 John Mackey, former CEO of Whole Foods Market, an Amazon subsidiary, is a member of The Motley Fool's board of directors. Chris Neiger has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Amazon, Microsoft, Nvidia, and Taiwan Semiconductor Manufacturing. The Motley Fool recommends the following options: long January 2026 $395 calls on Microsoft and short January 2026 $405 calls on Microsoft. The Motley Fool has a disclosure policy.
Globe and Mail
11 hours ago
- Globe and Mail
Credit Risk Assessment Market Global Rising Demand & Huge Scope Till 2032
Market Size and Overview Market Size and Overview- The Global Credit Risk Assessment Market size is estimated to be valued at USD 9.52 Bn in 2025 (market size) and is expected to reach USD 23.97 Bn by 2032 (market forecast), exhibiting a compound annual growth rate (CAGR) of 14.1% from 2025 to 2032. This forecast underscores strong adoption across banking, insurance and corporate finance sectors, supported by evolving market dynamics and rising demand for predictive credit scoring. Industry Overview The credit evaluation domain is witnessing accelerated digitization as financial institutions and fintechs deploy advanced analytics and AI-driven models for real-time decision-making. Robust risk governance frameworks and regulatory mandates are driving demand for end-to-end credit risk assessment platforms. Our proprietary market research and market insights reveal a dynamic landscape where legacy systems are being replaced by cloud-native architectures, setting the stage for significant business growth. Request Sample Pages: Key Takeaways Region • North America: Early adopters of AI-powered scoring engines, driven by stringent regulatory environments. • Latin America: Growth fueled by microfinance expansions in Brazil and Mexico. • Europe: GDPR-compliant risk solutions prompting upgrades in Western Europe. • Asia Pacific: Rapid digitization in India and Southeast Asia accelerating demand. • Middle East: Infrastructure financing units in UAE and Saudi Arabia integrating advanced analytics. • Africa: Emerging markets leveraging mobile-driven credit models for unbanked populations. Segment Covers • Component: – Solutions (Credit Scoring, Portfolio Management, Fraud Detection): Example use case—real-time score recalibration in major lenders. – Services (Consulting, Integration, Support): Example use case—end-to-end deployment with 24/7 support for regional banks. • Deployment: – Cloud: Scalable scoring platforms launched by global fintechs. – On-Premise: Mission-critical systems preferred by tier-1 banks for data sovereignty. • End-User Industry: – Banking & Finance: 45% of deals in 2024 for retail and corporate credit risk. – Telecom & Retail: Use cases include postpaid billing risk and supplier credit profiling. Growth Factors • Rising Non-Performing Loans (NPLs): NPL ratios climbed to 4.8% in global banking portfolios in 2024, spurring demand for automated risk monitoring (market drivers). • AI/ML Integration: Adoption of machine learning algorithms grew 28% year-on-year in 2024, enhancing predictive accuracy (industry size). • Regulatory Pressure: Basel III and IFRS 9 compliance programs accounted for 35% of new license revenues (Credit Risk Assessment Market revenue). Market Trends • Real-Time Risk Monitoring: Over 60% of new deployments in 2025 offer continuous score updates (Credit Risk Assessment Market share). • Open Banking APIs: Data sharing initiatives led to a 22% rise in third-party risk data utilization (market trends). • Explainable AI: Transparency requirements driving investment in model interpretability frameworks, with 18% more R&D projects in 2024 (industry trends). Actionable Insights Supply-Side Indicators • New Solution Releases: Grew from 150 in 2024 to 210 in 2025, boosting overall production capacity by 40%. • Average License Pricing: Increased by 8% in 2024 as vendors bundled AI modules (market scope). • Export Penetration: APAC exports accounted for 30% of total software shipments in 2024. Demand-Side Indicators • Imports: Financial institutions in Latin America imported 45% of their risk platforms in 2024. • Use Cases Across Industries: BFSI accounted for 50% of new subscriptions, telecom 15%, retail 10%. • Nano-Indicators: Average daily risk checks per client rose from 2.1 million to 3.4 million in 2024 (market dynamics). Key Players • Experian • Equifax • TransUnion • FICO • Moody's Analytics • Oracle • IBM • SAP • SAS Institute • Fiserv • Pegasystems • Genpact • ACL • Kroll • PRMIA • Riskonnect • RiskSpotter • Riskdata • BRASS • Misys Competitive Strategies • Experian's 2024 acquisition of an AI-analytics startup drove a 15% uptick in Credit Risk Assessment Market report revenues. • FICO launched a cloud-native scoring service in Q3 2024, boosting its market share by 5% in North America. • Oracle partnered with leading regional banks in Asia Pacific for embedded risk modules, resulting in a 20% increase in subscription renewals. Buy this Complete Business Research Report: FAQs 1. Who are the dominant players in the Credit Risk Assessment Market? Dominant players include Experian, Equifax, FICO, Moody's Analytics and Oracle, each leading with unique AI-driven scoring and compliance solutions. 2. What will be the size of the Credit Risk Assessment Market in the coming years? The Credit Risk Assessment Market size is projected to grow from USD 9.52 Bn in 2025 to USD 23.97 Bn by 2032 at a CAGR of 14.1%. 3. Which end-user industry has the largest growth opportunity? Banking & Finance leads with over 45% of new deployments in 2024, but telecom and retail segments are expanding at 12–15% annually. 4. How will market development trends evolve over the next five years? Expect real-time risk monitoring, explainable AI, and open banking integrations to dominate, driving faster implementation cycles and modular pricing models. 5. What is the nature of the competitive landscape and challenges in the Credit Risk Assessment Market? Competition centers on AI accuracy, regulatory compliance and cloud versus on-premise offerings; challenges include data privacy and model interpretability. 6. What go-to-market strategies are commonly adopted in the Credit Risk Assessment Market? Partnerships with regional banks, cloud bundling with ERP suites, acquisition of analytics startups, and outcome-based pricing models are widely used growth strategies. About Us: Coherent Market Insights leads into data and analytics, audience measurement, consumer behaviors, and market trend analysis. From shorter dispatch to in-depth insights, CMI has exceled in offering research, analytics, and consumer-focused shifts for nearly a decade. With cutting-edge syndicated tools and custom-made research services, we empower businesses to move in the direction of growth. We are multifunctional in our work scope and have 450+ seasoned consultants, analysts, and researchers across 26+ industries spread out in 32+ countries.
