So you and I have talked about the promise of industrial AI. We're coming off of blowout earnings from Palunteer today. Is the promise here. >> Promise is absolutely here.I mean for last uh you know I've been in this industry for more than three decades. One thing I hear now which I've never heard is customers are short of people and it sound uh you know they don't have skilled people to run their operations and they are looking for a substitute that what to do differently because you can't have more people ...

Core Viewpoint - Baker Hughes is positioning itself to benefit from the increasing interconnection between energy infrastructure, digital automation, and defense spending, particularly in areas like unmanned systems and energy resilience [1][5]. Group 1: Company Overview - Baker Hughes is primarily known for providing energy and oilfield services, making its earnings sensitive to oil and natural gas prices [2]. - The company is transforming into a technology-driven industrial player, focusing on digital infrastructure, industrial AI, and process optimization [3][9]. Group 2: Financial Performance - Baker Hughes reported revenue of $6.8 billion, with a 130-basis-point increase in operating margin, indicating strong financial performance [8]. - The Industrial & Energy Technology (IET) segment generated $2.8 billion in revenue, growing 13% year over year, driven by demand for electrification and automation tools [13]. Group 3: Market Position and Strategy - The U.S. defense budget for fiscal 2025 is projected to exceed $900 billion, with significant allocations towards unmanned systems and energy resilience, creating potential opportunities for Baker Hughes [4][5]. - Baker Hughes is pivoting towards technologies that support electrification and energy efficiency, which aligns with the U.S. Department of Defense's increasing focus on tech-forward industrial partners [10]. Group 4: Stock Performance and Valuation - Baker Hughes stock has seen a year-to-date increase of approximately 6.8%, with a notable jump of over 9.5% following its second-quarter earnings report [6]. - The stock is currently trading at a forward P/E ratio of 16.8x, which is reasonable relative to the sector average, and the company has approved a $3 billion share repurchase authorization [16].

Core Insights - VERSES AI Inc. has signed Algo8 as a Genius enterprise customer, with plans for Algo8 to become a certified Genius reseller [1][4] - Algo8 is focused on providing advanced predictive capabilities through its PlantBrain™ platform, targeting asset-heavy Fortune 500 and Global 2000 customers [2][6] - The collaboration aims to enhance industrial AI by enabling systems that can think, reason, and adapt in real time [4][7] Company Overview - VERSES AI Inc. specializes in cognitive computing and next-generation agentic software systems, with its flagship product, Genius, designed for reliable domain-specific predictions [5] - Algo8 is redefining industrial performance with its cognitive platform PlantBrain, which integrates advanced machine learning and AI-powered digital twins [6][7] Use Cases and Applications - Expected use cases for the integration of Genius into PlantBrain include predictive maintenance, demand forecasting, production planning, energy optimization, and building digital twins for manufacturing processes [3][4]

Core Insights - Cognex Corporation is launching OneVision™, a cloud-based platform aimed at transforming the development and scaling of AI-powered vision applications for manufacturers [1][3]. Group 1: Product Overview - OneVision simplifies application development by using AI to unify multiple tools, sites, and workflows, thereby enhancing the efficiency of the development process [2][4]. - The platform is designed to address common barriers to AI adoption in industrial settings, such as long development cycles, expensive infrastructure, lack of integration, and inconsistent performance across sites [3][7]. Group 2: Market Impact - OneVision expands Cognex's portfolio of machine vision products, enabling faster and more reliable solutions for complex vision tasks, which accelerates AI adoption in the manufacturing sector [4][5]. - The platform is currently available for select customers using In-Sight® 3800 and 8900 vision systems, with plans for broader release on additional products in early 2026 [4]. Group 3: Company Background - Cognex has over 40 years of experience in advanced machine vision technology, serving a diverse range of industries including automotive, consumer electronics, and packaged goods [5][6]. - The company focuses on making machine vision tools more accessible and easier to deploy, allowing factories and warehouses to improve quality and efficiency without requiring extensive technical expertise [6].

Financial Data and Key Metrics Changes - NVIDIA reported revenue of $44 billion for Q1 2026, a 69% increase year-over-year, exceeding expectations despite a challenging operating environment [6] - Data center revenue reached $39 billion, growing 73% year-on-year [6] - GAAP gross margins were 60.561%, while non-GAAP gross margins would have been 71.3% excluding a $4.5 billion charge related to inventory write-downs [31][32] Business Line Data and Key Metrics Changes - Data center revenue was significantly impacted by new export controls, with $4.6 billion recognized prior to the controls and a $4.5 billion charge for inventory write-downs [7][31] - Gaming revenue reached a record $3.8 billion, increasing 48% sequentially and 42% year-on-year, driven by strong adoption of Blackwell architecture [22][23] - Pro Visualization revenue was flat sequentially at $5.9 billion but up 19% year-on-year [26] - Automotive revenue was $567 million, down 1% sequentially but up 72% year-on-year, driven by self-driving technology and demand for new energy vehicles [28] Market Data and Key Metrics Changes - China represented a smaller percentage of data center revenue due to export licensing controls, with expectations of a meaningful decrease in Q2 [21] - Singapore accounted for nearly 20% of Q1 build revenue, primarily for orders from US-based customers [22] Company Strategy and Development Direction - NVIDIA is focusing on AI factory deployments, with nearly 100 AI factories in progress, doubling year-over-year [13][14] - The company is committed to a product roadmap extending through 2028, with a focus on enhancing AI capabilities and infrastructure [11][12] - The introduction of new products like GB 300 systems is aimed at maintaining high yields and seamless transitions for customers [11] Management's Comments on Operating Environment and Future Outlook - Management expressed concerns about losing access to the China AI accelerator market, which could have a material adverse impact on business [9] - The company anticipates continued growth in AI demand, particularly in reasoning AI, which is driving significant increases in token generation [12][62] - For Q2, total revenue is expected to be around $45 billion, with modest sequential growth across platforms despite the loss of H20 revenue [32][33] Other Important Information - NVIDIA returned a record $14.3 billion to shareholders through share repurchases and dividends [32] - The company is exploring limited options to supply data center products compliant with new export control rules [8] Q&A Session Summary Question: How much of the inference demand is NVIDIA able to serve? - Jensen Huang stated that NVIDIA aims to serve all inference demand and is on track to meet most of it, highlighting the capabilities of the Grace Blackwell NVLink 72 for reasoning AI [53][54] Question: What is the impact of the China export controls on future revenue? - Colette Kress clarified that the company recognized $4.6 billion in H20 revenue in Q1 but expects a significant decline in China data center revenue in Q2 due to export controls [60][61] Question: What are the drivers of growth for the AI infrastructure? - Jensen Huang identified four positive surprises driving growth: increased demand for reasoning AI, the rescinding of the AI diffusion rule, the rise of enterprise AI, and the emergence of industrial AI [82][84]

Core Viewpoint - The company is accelerating its strategic transformation towards becoming an industrial AI company, enhancing its global presence, and entering the humanoid robot market [1][4]. Financial Performance - In the previous year, the company achieved a revenue of 9.139 billion yuan, a year-on-year increase of approximately 6%, and a net profit attributable to shareholders of 1.117 billion yuan, up 1.38% year-on-year [1]. - Excluding the impact of GDR foreign exchange gains and losses, the net profit attributable to shareholders was 1.092 billion yuan, representing a year-on-year growth of 9.60% [1]. Strategic Initiatives - The year 2025 is identified as a critical period for the company's strategic shift, with increased R&D investment in AI technology leading to short-term performance pressure but positioning the company for future growth [1]. - The company has launched innovative products such as the UCS universal control system and the TPT temporal industrial model, aimed at enhancing AI applications in process industries [2]. Product Innovations - The UCS system reduces cabinet room space by 90%, shortens construction time by 50%, and increases communication speed by over 100 times, representing a revolutionary innovation in control systems [2]. - The TPT model achieves a self-control rate of over 95%, reduces nitrogen oxide emissions by 5%, and decreases coal consumption by over 3.1%, providing significant economic benefits to clients [2]. Market Outlook - According to Omdia, the AI software market is expected to experience explosive growth, reaching a scale of 218 billion USD by 2029, driven by the integration of industrial AI models and agents [3]. - The company is actively promoting the development and application of TPT and robotics, anticipating these technologies will drive new growth [3]. Humanoid Robotics - The company has invested in the Zhejiang Humanoid Robot Innovation Center, which has launched two generations of humanoid robots and is moving towards mass production [4]. - The company has introduced the "Plantbot" solution, integrating AI and robotics to enhance perception, decision-making, and execution capabilities [4]. Global Expansion - In 2024, the company's overseas revenue reached 749 million yuan, a year-on-year increase of 118.27%, accounting for 8.25% of total revenue [5]. - The company has established 21 subsidiaries and 5 new 5S stores in various regions, enhancing the global influence of the SUPCON brand [5]. Strategic Partnerships - The company has formed deep collaborations with international clients such as Saudi Aramco and Petronas in various fields including control systems and industrial software [6]. - The company is pursuing acquisitions and partnerships to support its strategic transformation towards industrial AI and robotics [6].

Core Viewpoint - Aeva Technologies (AEVA) has significantly outperformed its peers in the lidar sector, with a stock price increase of 431% over the past year, driven by strategic wins, industrial expansion, and growing customer confidence [1][5][17] Company Performance - AEVA's market capitalization is approximately $1 billion, with a multibillion-dollar pipeline indicating substantial upside potential [5] - The latest quarterly revenue reached $3.4 million, exceeding Zacks Consensus Estimate by over $1 million, reflecting a year-over-year growth of 60% [5] - Management projects full-year revenue growth of 80-100% in 2025, excluding new strategic collaborations [5] Strategic Partnerships - AEVA has formed a significant partnership with a Fortune 500 technology company, which will invest up to $50 million, including $32.5 million in equity and $17.5 million for product development [6] - This partner will also act as AEVA's Tier 2 manufacturing partner for its global top 10 passenger OEM program, indicating strong confidence in AEVA's FMCW lidar platform [6] Automotive Sector Wins - AEVA is engaged in a development program with a top-10 global passenger vehicle OEM, which could lead to a large-scale production contract by late 2025 [7] - A letter of intent has been secured for a next-generation platform that may cover multiple vehicle models, potentially matching or exceeding the $1 billion Daimler Truck program [7] Industrial Market Expansion - AEVA is expanding into the industrial automation market, valued at over $4 billion, with its Eve 1 sensor already attracting customers like SICK AG and LMI Technologies [9] - The company has booked over 1,000 units with initial shipments underway, which diversifies revenue sources and reduces dependence on automotive production [9] Manufacturing Capacity and Liquidity - AEVA aims to reach an annual manufacturing capacity of 100,000 units by the end of 2025, supported by strategic partnerships [11] - The company ended Q1 2025 with $206 million in available funding, providing flexibility for growth while managing current operating cash use of $26 million per quarter [11] Competitive Landscape - AEVA's competitors, Ouster and MicroVision, have struggled to match AEVA's growth trajectory, with Ouster focusing on industrial AI applications and MicroVision facing commercialization challenges [12][13] - AEVA's FMCW lidar technology offers real-time velocity measurement and scalable design, distinguishing it from competitors [14] Financial Outlook - AEVA's earnings per share (EPS) is expected to grow by 21.7% in 2025 and 12.2% in 2026, indicating positive financial momentum [15] Conclusion - AEVA is positioned for long-term growth with strategic automotive contracts, expansion into industrial markets, and improving financials, making it a compelling investment opportunity [17]

Core Insights - TomTom has been selected by IFS to enhance their Planning and Scheduling Optimization (PSO) platform, which will improve route calculations and travel time estimations for asset- and service-intensive industries globally [1][2]. Company Overview - TomTom specializes in location technology, providing maps, traffic data, and routing algorithms to enhance operational efficiency for businesses [4][5]. - IFS is a leading provider of Industrial AI and enterprise software, focusing on enhancing productivity and sustainability for businesses that manufacture goods and manage service operations [6][8]. Collaboration Benefits - The integration of TomTom's location technology into IFS's PSO solution allows for better optimization of travel distances, costs, and time, leading to improved service levels and customer satisfaction [2][3]. - The collaboration aims to enhance the consistency and reliability of mapping data, resulting in greater automation and efficiency for IFS customers [3]. Technological Features - IFS's PSO solution addresses challenges in Field Service Management by efficiently processing customer requests and optimizing staff assignments and travel costs [2][7]. - TomTom's robust global map coverage and traffic-aware routing services significantly enrich the planning experience for IFS customers [3]. Historical Context - IFS was founded in 1983 and has grown into a global leader with over 7,000 employees in 80 countries, emphasizing agility and customer-centricity [8]. - TomTom has been shaping the future of mobility for over 30 years, employing 3,600 people worldwide [5].