[Music] Some stats say 60% of the internet's content now is created with AI and that's going to go to 90% by the end of 2026. We actually build models to detect whether content is generated by AI or if it's real. >> My name is Zoho EMTT.I'm the CEO and co-founder at Resemble AI. Uh it's a company I started 5 and a half years ago. We're building Texas speech models that support voice cloning uh in 23 different languages.And our customers use us for agentic AI, so real-time voice agents for media. Think of mo ...

Endava (NYSE:DAVA) Q1 2026 Earnings Call November 11, 2025 08:00 AM ET Company ParticipantsMark Thurston - CFO and DirectorJohn Cotterell - Founder, CEO, and DirectorPuneet Jain - Associate of Equity ResearchLaurence Madsen - Head of Investor RelationsBryan Bergin - Managing DirectorAntonio Jaramillo - Equity Research Senior AssociateJonathan Lee - MD of Equity ResearchConference Call ParticipantsMaggie Nolan - Research Analyst of Technology, Media, and CommunicationsNate Svensson - Director and Senior Equi ...

Financial Data and Key Metrics Changes - Endava's revenue for Q1 FY2026 was GBP 178.2 million, an 8.6% decrease from GBP 195.1 million in the same period last year, with a constant currency decrease of 7.3% [24][26] - Loss before tax for the quarter was GBP 8.5 million, compared to a profit of GBP 4.2 million in the prior year [25] - Adjusted PBT was GBP 9.9 million, down from GBP 19.2 million year-over-year, with an adjusted PBT margin of 5.5% compared to 9.9% [25] - Adjusted diluted EPS was GBP 0.15, down from GBP 0.25 in the same period last year [25] - Adjusted free cash flow increased to GBP 9.2 million from GBP 3.5 million year-over-year [28] Business Line Data and Key Metrics Changes - Revenue from the 10 largest clients accounted for 36% of total revenue, consistent with the previous year, but average spend per client decreased from GBP 7.1 million to GBP 6.4 million, a 9.9% decline [25][26] - North America contributed 42% of revenue, Europe 24%, the U.K. 28%, and the rest of the world 6% [26] - Revenue from North America decreased by 1%, while Europe saw a decline of 12.8% and the U.K. decreased by 17.9% [26][27] Market Data and Key Metrics Changes - The unexpected client credit impacted performance, but the reclassification of a large payments client from the U.K. to North America offset this [26][27] - The rest of the world saw a revenue increase of 9% [27] Company Strategy and Development Direction - Endava is focusing on AI-native transformation, with the DavaFlow model designed to integrate AI into every phase of the delivery lifecycle [18][20] - The company is committed to disciplined cost management while pursuing growth opportunities, particularly in AI-related engagements [9][24] - Partnerships with major technology firms, including OpenAI and Google Cloud, are being leveraged to enhance service offerings and drive growth [15][16] Management's Comments on Operating Environment and Future Outlook - Management acknowledged challenges in transitioning business models and delivery approaches due to the rapid acceleration of AI [7][49] - The company expects gradual recovery in the latter half of the fiscal year, supported by large strategic deals [84] - Management emphasized the importance of shifting to outcome-based deals to improve margins and client benefits [49] Other Important Information - The company ended the quarter with 11,636 employees, a 2% decrease from the previous year, while continuing to expand its AI talent pool [21] - Capital expenditure as a percentage of revenue was 1.7%, up from 0.6% in the prior year [29] - The share repurchase program remains active, with $34.1 million remaining for repurchase [29] Q&A Session Summary Question: Can you share more detail on the unexpected client credit? - The credit was procedural and not related to remediation work, impacting revenue guidance but not indicative of client relationship decline [33][34] Question: Has there been any unusual client churn this quarter? - There has not been an increase in client churn, and the credit was from an ongoing relationship [39] Question: How are productivity gains from DavaFlow quantified? - DavaFlow is expected to drive significant productivity improvements, with potential gains in the 5x-10x range [40] Question: What is the strategy to navigate changes in business models? - The strategy focuses on accelerating the shift to AI-native approaches and increasing outcome-based deals to improve margins [49] Question: Can you provide details on the $100 million deal with a payments company? - The deal is a five-year commitment primarily focused on new development rather than managed services, representing significant new revenue [78] Question: How are capital allocation priorities balanced between AI investment and share buybacks? - The company continues to invest in AI while maintaining a share buyback program, prioritizing long-term profitability over short-term margins [60]

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Core Insights - Jones Research has maintained a 'Hold' rating for MARA, citing missed earnings expectations due to increased operating costs impacting margins [1] Financial Performance - MARA reported third-quarter revenue of $252.4 million, a 6% increase from the previous quarter, exceeding Jones Research's estimate of $246.1 million [2] - EBITDA for the quarter was $51.0 million, falling short of the projected $83.7 million, attributed to a 17.5% rise in general and administrative and research expenses to $57.9 million [2] - The gross margin was 42.5%, below the estimated 52.7%, due to higher-than-expected hash costs of $0.031 per terahash compared to the forecast of $0.027 [3] - Operating income showed a loss of $158.0 million, wider than the anticipated loss of $111.8 million [3] - Adjusted EBITDA was reported at $395.6 million, primarily due to a $343.1 million unrealized gain on bitcoin holdings [3] Future Projections - Jones Research has revised its 2025 and 2026 EBITDA estimates for MARA to $214 million and $376 million, respectively, down from previous forecasts of $269 million and $407 million [4] - The revision reflects higher operating costs and a lower projected hash price of $0.050 per terahash for the fourth quarter [4] Strategic Initiatives - MARA's acquisition of a 64% stake in French cloud operator Exaion and a partnership with MPLX LP are seen as critical to its new strategy [5] - Exaion is expected to enhance software and compliance capabilities, while the MPLX partnership will provide access to natural gas resources for powering modular data centers in the Delaware Basin, with initial capacity planned at 400 megawatts and potential expansion to 1.5 gigawatts [5] Market Competition - The first power plants under the MPLX partnership are not expected until 2027, with confirmation from MPLX's CEO that the project will not commence before 2026 [6] - The competition in the sovereign and private AI cloud market is intense, with major players like Amazon Web Services, Google Cloud, and Microsoft Azure expanding into compliant cloud services, alongside emerging firms like CoreWeave targeting regulated industries [6] Operational Flexibility - Despite the challenges, MARA's ability to transition between bitcoin mining and AI infrastructure, along with the potential to colocate data centers next to owned natural gas plants, offers some operational flexibility in executing its new strategy [7]

(0:00) Introducing Tareq Amin (0:39) Saudi Arabia's evolution, Humain's business (8:11) How Humain works with foundational model providers (13:14) Saudi's energy and talent advantages, the AI race in the Middle East (18:11) Working in the era of MBS, Vision 2030 (21:40) How Saudi manages their relationships with the US and China (23:51) Sacks on the US-Saudi AI alliance Thanks to our partners for making this happen! Solana - Solana is the high performance network powering internet capital markets, payments, ...

The one that caught my eye was the relationship with Google Cloud and bringing the availability of the latest Gemini models to Snowflake. And the reason I want to start with that is you are all about choice, right. Because you can look at anthropic or AI, but there must have been an indication to you, Sridhar, that those Gemini models are in demand amongst your customer base.Hey, it's great to be here. Absolutely. Gemini models are among the best in the world, and a lot of our customers are asking for acces ...

Core Insights - SAP is enhancing its development process by integrating AI capabilities into its SAP Build solution, aiming to empower developers to achieve faster and more impactful results [1][2] - The company has committed to equipping 12 million people globally with AI-ready skills by 2030, reflecting its focus on workforce development in the AI era [1][11] Developer Ecosystem - SAP Build now offers developers greater freedom to build, extend, and automate applications using familiar tools, enhancing the overall development experience [2] - New integrations with popular development solutions like Visual Studio Code and n8n will allow developers to utilize SAP Build capabilities seamlessly [3][6] Data Utilization - SAP Business Data Cloud is expanding its connectivity with various data and AI platforms, including a new partnership with Snowflake, which enhances data governance and interoperability [6] - Developers can now create data products from raw data, facilitating analytics and application development [7] - The SAP HANA Cloud knowledge graph engine can automatically generate knowledge graphs, providing insights into data relationships and business relevance [8] AI Advancements - SAP introduced its first enterprise relational foundation model, SAP-RPT-1, which predicts business outcomes, enhancing decision-making capabilities [9][10] - New AI assistants in Joule are designed to coordinate workflows across various departments, improving automation and operational efficiency [11]