AI技术发展历程与应用 - AI技术的发展受益于早期粒子物理研究中的大数据处理、模式识别和统计分析方法 [5][6] - 工业界通过整合云、大数据、数据科学和AI等技术，结合领域知识，实现可视化、优化和自动化决策支持，从而提高效率和降低成本 [14] - AI技术正被应用于工业互联网平台，实现实时分析和监控，以及各种工业系统的预测性维护 [16] AI在不同领域的应用 - AI技术被应用于反恐大数据系统，利用生物识别技术检测潜在威胁 [11] - AI技术被应用于能源领域，开发智能家居系统，并扩展到移动应用 [16] - AI技术被应用于医疗健康领域，与医生合作，通过X光图像和3D扫描实现自动化诊断和治疗建议 [17] - AI技术被应用于航空领域，开发了ADSB系统的预测性维护，以防止类似纽约机场雷达系统故障的事件发生 [17] 企业级AI平台与发展 - 企业正在构建企业级大数据平台，并向云端迁移，同时关注数据治理和灵活性 [17] - 企业正在开发智能自动化，涉及GNAI、AI代理和RPA，以实现企业自治 [17] - 企业正在构建GPU云基础设施，并与领域专家合作，开发垂直领域的AI应用 [17] 早期科研对AI的贡献 - 早期在费米实验室进行的顶夸克发现，涉及七万亿次质子反质子碰撞中的七个候选事件，展示了在小统计事件中进行发现的挑战性 [7] - 费米实验室在1990年代初拥有了首个PB级别的大数据环境，并推动了万维网的发明，以促进数据共享和协作 [5] - 早期研究推动了高性能分布式计算的发展，并率先应用了物联网、大数据和AI等技术 [8]

Core Insights - The company reported consolidated revenue of €91.2 million for Q3 2025, reflecting a 13.2% organic growth compared to Q3 2024 [1][3] - The EBITDA margin for Q3 2025 was 12.1%, amounting to €11.0 million [1][3] - Year-to-date consolidated revenue as of September 30, 2025, reached €267.0 million, marking a 12.4% increase on a like-for-like basis compared to the same period in 2024 [2][4] - The EBITDA margin for the year-to-date period was stable at 12.0%, representing €32.0 million [2][4] Financial Performance - Q3 2025 revenue was €91.2 million, up from €81.7 million in Q3 2024, with an organic growth of 13.2% [3] - Year-to-date revenue for 2025 was €267.0 million, compared to €238.6 million in 2024, showing a 12.4% organic growth [4] - The EBITDA for Q3 2025 was €11.0 million, an increase from €9.8 million in Q3 2024 [3] - Year-to-date EBITDA for 2025 was €32.0 million, up from €28.7 million in 2024 [4] Strategic Developments - The company deconsolidated Tipik, a Belgian subsidiary, as of August 1, 2025, reclassifying it as an asset held for sale [2][7] - The acquisition of Full On Net, a Spanish company specializing in data science and artificial intelligence, was completed, expected to contribute approximately €15 million to revenue in 2026 with an EBITDA margin of about 11.5% [6] - The acquisition of Bubble Go in Q3 2025 enhances the company's nearshore offerings for Swiss and European clients [6] Market Outlook - The company anticipates double-digit organic growth for the 2026 budget [9] - A larger-scale acquisition strategy is planned to be implemented starting in 2026 [9] - The business plan remains unchanged, indicating stability in strategic direction [8]

Core Insights - ODDITY Tech Ltd. will release its third quarter 2025 financial results on November 19, 2025, after market close [1] - A conference call to discuss the results will take place on November 20, 2025, at 8:30 a.m. Eastern Time [1] Company Overview - ODDITY is a consumer tech company focused on building and scaling digital-first brands in the beauty and wellness sectors [3] - The company serves approximately 60 million users through its AI-driven online platform, utilizing data science to meet consumer needs [3] - ODDITY owns brands such as IL MAKIAGE and SpoiledChild, with headquarters in New York City, an R&D center in Tel Aviv, and a biotechnology lab in Boston [3]

Core Insights - The individual has extensive experience in risk management and financial analysis, with a strong educational background in applied risk management and relevant certifications [1] - The focus areas include risk management, financial analysis, data science, and the influence of economic factors on financial markets [1] - The motivation for writing is to provide actionable insights for investors by translating complex financial data into understandable analysis [1] Group 1 - The individual holds an MSc in Applied Risk Management from the University of Athens and has completed the ACA Certificate Level [1] - The professional background includes roles in assurance, financial analysis, and trade operations at leading firms such as EY, PwC, Alpha Bank, and the National Bank of Greece [1] - The approach to investing emphasizes data-driven analysis and long-term value creation [1] Group 2 - The individual aims to write on topics related to risk assessment, financial modeling, and stock analysis [1] - There is a commitment to providing informed analysis on market trends, risk management practices, and investment strategies [1]

Industry Overview - The Technology Services industry ranks within the top 24% of Zacks Ranked Industries and is expected to outperform the market over the next three to six months, having rallied 32.9% year to date [1] - The industry is mature with strong demand for services, and this momentum is likely to continue into the fourth quarter of 2025 [1][3] Market Trends - The global shift toward digitization is creating opportunities in markets such as 5G, blockchain, and artificial intelligence (AI) [3] - Companies are rapidly adopting generative AI, machine learning (ML), blockchain, and data science to gain competitive advantages [3] - There is robust demand for multi-cloud-enabled software solutions as businesses transition from legacy platforms to modern cloud-based infrastructure [3] Company Highlights AppLovin Corp. (APP) - AppLovin is a leading technology platform for mobile app developers, enhancing marketing and monetization efforts [7][8] - The Axon 2.0 AI engine has significantly boosted ad performance, leading to a $10 billion annual run rate in ad spend [9] - AppLovin targets a 20-30% year-over-year growth rate, primarily driven by its gaming segment and AI-driven ad monetization [11] - Expected revenue and earnings growth rates for the current quarter are 15.2% and 63.6%, respectively [12] Skillsoft Corp. (SKIL) - Skillsoft provides digital learning and talent solutions, focusing on a learner-centric approach [13] - Expected revenue and earnings growth rates for the next quarter are -2% and -53.1%, respectively, but earnings estimates have improved over 100% in the last 30 days [14] Acuity Inc. (AYI) - Acuity manufactures lighting fixtures and related components, with a focus on energy efficiency and smart building solutions [15][17] - Expected revenue and earnings growth rates for the current quarter are 19.5% and 12.3%, respectively [17] Byrna Technologies Inc. (BYRN) - Byrna develops non-lethal technology products for personal and professional security [18] - Expected revenue and earnings growth rates for the current quarter are 21.3% and -23.5%, respectively [19] MediaAlpha Inc. (MAX) - MediaAlpha specializes in programmatic technology platforms for vertical search and metasearch [20] - Expected revenue and earnings growth rates for the current quarter are -8.1% and over 100%, respectively [20]

Core Insights - The individual has extensive experience in risk management and financial analysis, with a strong educational background in applied risk management and relevant certifications [1] - The focus areas include risk management, financial analysis, data science, and the influence of economic factors on financial markets [1] - The motivation for writing is to provide actionable insights for investors by translating complex financial data into understandable analysis [1] Group 1: Professional Background - The individual has worked in various roles across leading firms such as EY, PwC, Alpha Bank, and the National Bank of Greece [1] - Expertise includes financial analysis, risk management, and data analysis using tools like SQL, Python, and machine learning [1] Group 2: Areas of Interest - Primary interests are in risk assessment, financial modeling, and stock analysis [1] - A data-driven approach to investing is emphasized, focusing on long-term value creation [1] Group 3: Writing Goals - The aim is to provide informed analysis on market trends, risk management practices, and investment strategies [1] - The goal is to support informed decision-making for investors [1]

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Product Strategy - The company initially underestimated the importance of a comprehensive data science experience, including data science notebooks, for its customers [2] - The company's engineering team initially resisted developing data science notebook capabilities, which proved to be a missed opportunity [2] Go-to-Market Strategy - The company's focus on optimizing for its IPO led to a slowdown in new logo acquisition [3] - Prioritizing upselling to existing customers over acquiring new customers negatively impacted the company's growth engine [3][4] - Sales representatives shifted their focus to existing revenue streams due to hiring freezes, neglecting new customer acquisition [4] - The company experienced a period of approximately two years where it lost focus on new logo acquisition, which had a detrimental effect [4] Financial Performance - The company had a net retention rate of 177% during the period leading up to its IPO [3]

Project Overview - Kadustra's data science team embarked on a project to brew beer using AI, aiming to improve upon existing data-driven brewing approaches [2][3] - The project involved two iterations: the first with the Kadustra team and the second with H colleagues and students, each with different goals and AI approaches [2][10] AI and Data Science Application - The team used an XGBoost model to predict beer scores based on recipes from Brewok and Untappd scores [3][4] - For the second iteration, a Bayesian approach and a hop prediction model were used to refine flavor profiles and hop selection, addressing the challenge of over 10 billion options [16][17] - AI was also used for label design (DALL-E) and text generation (GPT), including embracing "hallucinations" [6] Results and Lessons Learned - The first beer achieved a predicted Untappd score of 43%, but the actual score was 34%, indicating room for improvement in taste [8][9] - The second beer, "the honzy pie," achieved a predicted Untappd score of 38%, with an actual score of 36%, considered a success [19] - The project demonstrated that AI can be used in brewing, but craftsmanship and local ingredients are also crucial for success [8][10] Marketing and Publicity - The beer brewing project was used as a team-building activity and a giveaway at an induction event for a new professor [1][10] - The project generated publicity, including coverage on television and in newspapers [1][19] Educational and Recruitment Aspects - The project aimed to attract students to study EI (Artificial Intelligence) at the Han university [2][20] - The university offers a master's program in applied data science and AI, with limited spaces available in September and more spaces in February [21]

We have fundamental limitations in AI expertise. We're not making enough AI practitioners. We're not making enough data scientists who understand data pipelines.Our universities aren't minting enough. Our challenges in the US with immigration don't help that. We have historically sucked the best and the brightest first on J1s to come to our schools and H1s to stay.And if that is not our policy, we need to make them. Right. If the government decides that that that is not the way they want to build a workforc ...