Group 1 - Trifork Switzerland has been selected as a subcontractor to Deloitte Switzerland for the DigiSanté framework agreement, focusing on healthcare standards [1][3] - The DigiSanté program aims to enhance the Swiss digital health infrastructure through standards-based development and secure data architecture [2][4] - The agreement allows for up to 144,000 hours of work over nine years, with a total value ranging from CHF 27.7 million to CHF 38.8 million [3] Group 2 - Deloitte and Trifork will leverage their combined expertise in standards and healthcare system architecture to support the Swiss Federal Office of Public Health [4][5] - Trifork has significant experience in regulated health software development and is involved in national initiatives like the electronic patient dossier [4][9] - The collaboration is seen as a strategic move to support the long-term goals of the Swiss Federal Office of Public Health [5]

Core Insights - The article discusses the author's academic and professional background in Machine Learning, Economics, and Finance, highlighting expertise in Data Science and Machine Learning applications within the banking and finance sectors [1]. Group 1: Academic Background - The author holds a PhD in Machine Learning with a focus on Economics and Finance [1]. - The author has academic affiliations with IESE Business School, ESADE Business School, and the Barcelona Supercomputing Center [1]. Group 2: Professional Experience - The author has worked at Deloitte Financial Advisory, specializing in Data Science and Machine Learning applications for clients in banking, insurance, and finance [1]. - The author currently teaches Asset Pricing and Introduction to Corporate Finance at ESADE Business School at the MSc/BSc level [1]. Group 3: Research Focus and Interests - Current research focuses on Generative AI in sustainable finance [1]. - The author's interests include machine learning and generative AI applications in finance and economics, with proficiency in Python, R, and SQL [1].

Core Viewpoint - D-Wave Quantum, an early player in the quantum computing sector, has experienced significant stock volatility and is attempting to expand beyond its niche market with new technologies and partnerships [2][4][6]. Company Overview - D-Wave Quantum went public via a SPAC merger on August 22, 2022, starting at $10 but dropping to a low of $0.41 by May 12, 2023, due to dilution, losses, and high valuations [2]. - As of now, D-Wave's stock trades around $14, representing a substantial recovery for those who invested at its lowest point [4]. - The company specializes in quantum annealing tools that optimize business processes, aiming to compete with traditional cloud-based analytics firms [6][7]. Financial Performance - In 2024, D-Wave reported $8.8 million in revenue with a net loss of $143.9 million [9]. - Analysts project revenue to nearly triple to $24.4 million in 2025, with a reduced net loss of $72.9 million, driven by the new 4,400-qubit Advantage2 processor [10]. - Expected revenue growth includes a 56% increase to $38.1 million in 2026 and nearly doubling to $74.1 million in 2027, although the company is not expected to break even soon [12]. Product Development and Market Position - D-Wave's Advantage2 processor can solve complex problems significantly faster and more efficiently than its predecessor [10]. - The LaunchPad platform for Leap aims to attract new enterprise customers and enhance recurring subscription revenues [11]. - The company plans to integrate more quantum AI tools to appeal to the growing AI market [11]. Competitive Landscape - D-Wave faces competition from universal gate-based processors from companies like IBM, Google, Rigetti, and IonQ, which may limit its market share if it cannot keep pace [14]. - The company has increased its share count by 184% since the SPAC merger, primarily due to secondary offerings and stock-based compensation, leading to ongoing dilution [13]. Insider Activity - Recent insider selling has raised concerns, with insiders selling more than three times as many shares as they bought in the past three months, indicating potential skepticism about future growth [15]. Investment Considerations - D-Wave's current valuation appears high relative to its near-term growth prospects, making it a speculative investment in the long-term quantum computing market [16].

Investment Strategy - The company focuses on identifying high-potential winners before they break out, emphasizing asymmetric opportunities with an upside potential of 2-3 times outweighing the downside risk [1] - The investment methodology includes leadership and management analysis, market disruption and competitive positioning, financial health and risk management, valuation and asymmetric risk/reward, and portfolio construction and risk control [1] Leadership & Management Analysis - Proven track record in scaling businesses is essential for investment decisions [1] - Smart capital allocation and insider ownership are key factors [1] - Consistent revenue growth and credible guidance are prioritized [1] Market Disruption & Competitive Positioning - A strong technology moat and first-mover advantage are critical for success [1] - Network effects that drive exponential growth are sought after [1] - Market penetration in high-growth industries is a focus area [1] Financial Health & Risk Management - Sustainable revenue growth with efficient cash flow is necessary for long-term viability [1] - A strong balance sheet and long-term survival runway are essential [1] - Avoiding excessive dilution and financial weakness is a priority [1] Valuation & Asymmetric Risk/Reward - Revenue multiples compared to peers and DCF modeling are used for valuation [1] - Institutional backing and market sentiment analysis are considered [1] - Ensuring downside protection while maximizing upside potential is a key strategy [1] Portfolio Construction & Risk Control - Core positions (50-70%) consist of high-confidence, stable plays [1] - Growth bets (20-40%) are allocated to high-risk, high-reward opportunities [1] - Speculative investments (5-10%) are made in moonshot disruptors with massive potential [1]

Core Insights - BlackLine, Inc. has appointed Sam Balaji to its Board of Directors, effective June 13, 2025, bringing over three decades of global leadership experience in technology businesses [1][3] - Balaji's expertise includes enterprise software, artificial intelligence, cybersecurity, and global go-to-market strategies, which are expected to enhance BlackLine's growth and innovation [1][2][3] Company Overview - BlackLine is a financial operations platform for the Office of the CFO, trusted by nearly 4,400 companies worldwide to improve accuracy, efficiency, and intelligence in financial processes [4] - The platform is designed to empower accounting, finance, and operations teams, enabling organizations to modernize operations and accelerate business performance [4]

Group 1 - Matthew Demko, a managing director at JPMorgan, has left the bank to join Ryan Specialty Group, an insurance broker and underwriter founded by billionaire Patrick G. Ryan [1][4] - Demko, 42, had been with JPMorgan since 2011, working in the leveraged finance unit that provides credit to non-investment grade companies [2][7] - He was promoted to managing director two years ago, becoming one of 37 bankers at JPMorgan to achieve this elite title after a five-month assessment process [4] Group 2 - Ryan Specialty Group was established in 2010 by Patrick Ryan, the former CEO and chairman of AON, and went public in July 2021 [4] - Patrick Ryan has a current net worth of nearly $12 billion, according to Bloomberg [4] - Demko's departure follows a warning from Jamie Dimon regarding potential economic turmoil, likening it to a "hurricane" due to various market factors [8]

So within deoid we certify our people and we do this for thousands of people every year. We are developing the actual project. We are doing the consultancy and we are also educating the client so he can adopt the deliveries that we provide for them.Nvidia was the first one to adopt AI really promote AI and where our future is headed to whether it's on the actual developments that we provide to our clients eventually or whether it's also the aspect of the DI trainings since the first day I saw the advantage ...

Financial Data and Key Metrics Changes - Q2 revenue was $7.6 billion, up 7% year over year, exceeding the high end of previous guidance [9][22] - Non-GAAP diluted net earnings per share were $0.38, above the guided range of $0.28 to $0.34 [10][25] - Non-GAAP gross margin was 29.4%, down 370 basis points year over year [23] - Non-GAAP operating margin was 8%, down 150 basis points year over year [24] Business Line Data and Key Metrics Changes - Server revenue was $4.1 billion, up 7% year over year but down 5% sequentially [27] - Intelligent Edge revenue was $1.2 billion, up 8% year over year, marking the first growth in five quarters [30] - Hybrid Cloud revenue was $1.5 billion, up 15% year over year, with strong performance across all product lines [33] - Financial Services revenue was $856 million, up 1% year over year [34] Market Data and Key Metrics Changes - AI systems saw $1.1 billion in net new orders, with over $1 billion converted into revenue, up from $900 million last quarter [12][29] - The annualized revenue run rate for GreenLake reached $2.2 billion, up 47% year over year [14] - Orders for Alletra MP grew more than 75% year over year for four consecutive quarters [13] Company Strategy and Development Direction - The company is focused on executing its strategy in AI, networking, and hybrid cloud, capitalizing on megatrends reshaping the IT industry [11][18] - A commitment to closing the Juniper Networks transaction is expected to deliver at least $450 million in annual run rate synergies [19] - The company is implementing a cost reduction program aimed at streamlining operations and improving profitability [38][39] Management's Comments on Operating Environment and Future Outlook - Management noted a dynamic macro and trade policy environment, with significant uncertainty affecting demand [8] - The company expects revenue growth of 7% to 9% year over year for the second half of the fiscal year [11][42] - Management remains optimistic about the profitable growth opportunities ahead, including the anticipated closure of the Juniper Networks transaction [20] Other Important Information - The company is maintaining a rapid pace of AI innovation and has launched several new products to enhance its offerings [15][17] - Free cash flow was negative $847 million, slightly better than expected due to AI backlog conversion [24][36] - The company is on track to achieve its cost savings goals related to workforce reduction by year-end [38][39] Q&A Session Summary Question: What is needed for server margins to improve? - Management addressed execution challenges from Q1, implementing targeted actions to improve pricing and inventory management, aiming for 10% margins by Q4 [48][49][51] Question: Can you elaborate on the pipeline strength? - The pipeline showed strength across AI, hybrid cloud, and networking, with significant order growth in AI systems and strong demand for Alletra storage [56][60][62] Question: What are the trends in federal and state spending? - Management noted a solid pipeline for U.S. federal business, with expectations for improvement in spending as government plans are enacted [96][97] Question: How is the company addressing inventory levels? - The company has reduced inventory by $500 million and is managing inventory exposure related to AI transactions [51][75] Question: What is the outlook for server margins? - Management reiterated expectations for sequential improvement in server margins, targeting around 10% by Q4 [83][84]

Core Insights - Workday has launched the Workday Agent Partner Network, a global ecosystem that connects AI agents from various industry leaders to its Agent System of Record (ASOR), enhancing productivity and collaboration [1][6][12] - The introduction of the Agent Gateway will facilitate seamless integration of AI agents from Workday and its partners, streamlining workflows across platforms [2][8] - Workday's platform aims to manage people, money, and AI agents together, reflecting the evolving nature of the workforce that now includes both humans and AI [3][4] Company Developments - Workday's ASOR will provide tools for hiring, onboarding, and managing AI agents, ensuring they operate securely and efficiently [5][6] - The Workday Marketplace now features agents from Workday and its partners, allowing customers to easily discover and deploy AI solutions tailored to their business needs [10] - Workday Illuminate, the next generation of its AI, leverages extensive HR and financial data to enhance business operations and decision-making [11][14] Industry Trends - The workforce is increasingly composed of both human employees and AI agents, necessitating a rethinking of management practices and compliance measures [4][5] - Major partners like AWS, Deloitte, and PwC are collaborating with Workday to develop AI agents that can transform enterprise workflows and improve decision-making across various functions [12][12][12] - The integration of AI agents into business processes is seen as a critical step towards managing the future workforce effectively [6][12]

Financial Data and Key Metrics Changes - The company reported Q1 revenue of $9,830,000,000, an increase of 8% year over year [20] - Subscription and support revenue grew by 9% in constant currency [21] - Non-GAAP operating margin for the quarter was 32.3% [22] - Remaining performance obligation (RPO) reached $60,900,000,000, up 13% year over year [22] - Current remaining performance obligation (CRPO) grew by 12% year over year in nominal terms [56] - Operating cash flow was $6,500,000,000, a 4% increase year over year [56] - The company raised its fiscal year 2026 revenue guidance by $400,000,000 to a range of $41,000,000,000 to $41,300,000,000 [57] Business Line Data and Key Metrics Changes - Strong growth was observed in the small and medium market business, achieving double-digit new bookings growth [21] - Data Cloud surpassed 22,000,000,000,000 records, up 175% year over year [28] - AgentForce reached over $100,000,000 in annual operating value (AOV) [27] - Data Cloud and ARR grew more than 120% year over year, contributing over $1,000,000,000 to the business [30] Market Data and Key Metrics Changes - The company saw strong new business growth in the UK, France, Canada, and Asia Pacific, particularly South Asia [55] - Comms and Media and Health and Life Sciences industries performed well, while Retail and Consumer Goods and Public Sector showed more measured performance [55] Company Strategy and Development Direction - The acquisition of Informatica for $8,000,000,000 is seen as a transformational step to enhance the company's AI and data capabilities [7][10] - The company aims to achieve accretion on non-GAAP operating margin, non-GAAP EPS, and free cash flow by year two post-acquisition [17] - The focus is on operational excellence and a disciplined approach to mergers and acquisitions [16] Management's Comments on Operating Environment and Future Outlook - Management expressed excitement about the growth opportunities in AI and enterprise software, emphasizing the importance of data transformation for AI success [11][24] - The company is committed to maintaining margin and cash flow frameworks while pursuing growth [64] - Management highlighted the strong momentum in data and AI, with expectations for continued contributions from AgentForce [90] Other Important Information - The company introduced a new consumption-based pricing model called Flex credits [25] - The company plans to add FedRAMP high authorization for AgentForce to cater to the U.S. public sector [26] - The company has seen significant customer success stories, including partnerships with major companies like PepsiCo and Falabella [39][42] Q&A Session Summary Question: When will AgentForce and Data Cloud become bigger drivers for overall growth rates? - Management acknowledged the importance of growth and emphasized a balanced execution approach while focusing on distribution and investment in sales capacity [64][66] Question: Have macro uncertainties affected customer behavior? - Management noted a balanced portfolio and strong momentum in data and AI, which provides confidence in guidance despite headwinds [90] Question: How will the combined portfolio of Tableau, MuleSoft, and Informatica change the game? - Management highlighted the integration of Tableau into the core Salesforce functionality and its role in enhancing the agentic layer and data strategy [95][100]