Investment Rating - The report upgrades Sumitomo Electric Industries (SEI) to Buy from Neutral, and Furukawa Electric to Neutral from Sell [1][39] Core Insights - The industrial electronics sector is experiencing increased demand for optical products driven by generative AI and data centers, leading to significant capacity expansion investments [2] - The report highlights the shift towards medium-distance data center interconnections (DCI) due to land and power constraints, creating additional demand for optical fiber products [17] - SEI is expected to see a substantial increase in profit contribution from its infocommunications business, which is projected to rise from 6% in FY3/25 to approximately 20% in FY3/28 [41][43] Summary by Sections Market Trends - Demand for optical products is significantly exceeding supply, prompting companies to invest in capacity expansion [2] - The emergence of projects like Stargate in the US, Japan, and UAE is expected to sustain high levels of investment in data center construction [2] Company Performance - SEI's operating profit estimates for FY3/26-FY3/28 have been raised by 11%/11%/12% due to increased demand for optical products [51] - Furukawa Electric is expected to benefit from marginal profit growth due to rising demand for its products [1] Financial Estimates - New sales and operating profit estimates for SEI show a 4% increase in sales for FY3/26, FY3/27, and FY3/28 [11] - The target price for SEI has been raised to ¥4,300 from ¥2,800, reflecting the expected growth in the infocommunications segment [54][55] Competitive Landscape - SEI holds a significant market share in ultra-high density optical fiber cables, estimated at around 50% globally [48] - The report notes that Fujikura and SEI are leading in ultra-multi-core optical fiber cables and optical connectors, while Furukawa Electric is attempting to catch up through acquisitions [9]

Investment Rating - The report maintains a Neutral rating for Hua Hong, with a 12-month target price of HK$40.9, indicating a relatively lower upside potential from the current price of HK$35.65, which translates to an upside of 14.7% [1][12]. Core Insights - Hua Hong's management is optimistic about operations, reporting that utilization (UT) rates across major fabs are at 100% or above, driven by strong demand in power discrete, microcontrollers (MCUs), and power management integrated circuits (PMICs) [1][3]. - The company has begun to implement price increases for both 8-inch and 12-inch products, anticipating that this will enhance gross margins in the upcoming quarters [2][11]. - Capacity expansion is ongoing, with plans to ramp up the second 12-inch fab to 83,000 wafers per month (wpm) and potential future capacities at 28nm and 22nm [4][11]. Pricing Outlook - The pricing strategy is set to improve, with management confident in the ability to raise prices due to solid demand, which is expected to positively impact gross margins [2][11]. Utilization Rates - Management reports full loading across its fabs, except for the new fab that is in the ramp-up phase, with a noted recovery in demand for power discrete products and sustained demand for PMICs related to AI applications [3][11]. Capacity Expansion Plans - The second 12-inch fab is being ramped up, with expectations to achieve positive gross margins once it surpasses 50,000 wpm of loading, while the first 12-inch fab is already achieving positive gross margins [4][8]. Financial Projections - Revenue projections for the next few years indicate growth, with expected revenues of $2,004 million in 2024, increasing to $3,910.5 million by 2027 [12].

Economic Outlook - Analysts forecast an average of 5% year-over-year (YOY) earnings growth for S&P 500 companies, indicating a mix of optimism and caution among investors [1][2] - Growth expectations have recently increased, especially for tech stocks, although the growth rate is expected to be slower than the previous year [2] Investment Strategies - Companies are awaiting clarity on tariffs, which complicates accurate forecasting for analysts and investors [3] - Large-cap, blue-chip companies are recommended as a strategy to navigate uncertainty due to their strong balance sheets, cash flow, and pricing power [3] Company-Specific Insights Alphabet Inc. (GOOGL) - Current stock price is $174.12 with a 12-month price forecast of $200.00, representing a 14.86% upside [5] - In Q1, revenue increased by 12% YOY and earnings per share (EPS) rose by 49% YOY, with significant growth in Google Cloud [6] - The company is investing in future growth areas such as autonomous driving, AI chip development, and quantum computing, alongside a $70 billion share buyback [7] Eli Lilly and Company (LLY) - Current stock price is $781.06 with a 12-month price forecast of $1,011.61, indicating a 29.52% upside [9] - The company has a strong position in the GLP-1 drug category and is developing an oral version of its treatment [10] - LLY stock is projected to see earnings growth of over 34% in the next year, with a consensus price target of $1,012 [11] JPMorgan Chase & Co. (JPM) - Current stock price is $282.81 with a 12-month price forecast of $276.80, suggesting a slight downside of 2.13% [13] - The bank has achieved a total return of over 256% in the last five years, benefiting from higher interest rates [14] - Expected earnings growth for JPM is 7.2%, which is above the S&P average, and the company offers a dividend yield of 1.92% [15]

Dig in to whom Mr. . Pang is and why indeed he's left. Yes.Or I'm in pain. He is the distinguished engineer and manager of the company's Apple Foundation models team. Now, we talk about all these A.I. features. We talk about all these A.I. companies. But how do how does generative A.I. actually work. Well, large language models, these are the models that actually power this technology.And so all of these companies are racing to get the best engineers in the world who can develop these models. And pay is kno ...

Core Insights - Innodata (INOD) is experiencing growth due to rising demand for generative AI, with its Digital Data Solutions (DDS) segment generating $50.8 million in Q1 2025, representing over 87% of total revenues [1][9] - The company is launching a Generative AI Test & Evaluation Platform to help enterprises assess the safety and reliability of large language models (LLMs), with MasterClass as its first customer [3] - Innodata is positioned to benefit from significant investments in generative AI from major tech companies, securing $8 million in new deals from four Big Tech clients [4][9] Digital Data Solutions (DDS) Segment - DDS provides full-stack GenAI services, including training data creation and LLM evaluation, supporting industries like enterprise tech and healthcare [2] - The segment has become a core driver of Innodata's AI service portfolio, showcasing domain-specific capabilities [2] Competitive Landscape - Innodata faces competition from TaskUs and Palantir Technologies, both advancing their own generative AI solutions [5][6] - TaskUs is focusing on model evaluation and data labeling, while Palantir is enhancing its domain-specific LLM platforms [5][6] Financial Performance - Innodata's stock has increased by 29% year to date, outperforming the broader Zacks Computer & Technology sector, which grew by 8% [7] - The company is trading at a premium with a forward Price/Sales ratio of 5.98X compared to the industry average of 1.84X [10] Earnings Estimates - The Zacks Consensus Estimate for Innodata's 2025 earnings is 69 cents per share, reflecting a decline of 22.47% from fiscal 2024's earnings [13]

About this content About Angela Harmantas Angela Harmantas is an Editor at Proactive. She has over 15 years of experience covering the equity markets in North America, with a particular focus on junior resource stocks. Angela has reported from numerous countries around the world, including Canada, the US, Australia, Brazil, Ghana, and South Africa for leading trade publications. Previously, she worked in investor relations and led the foreign direct investment program in Canada for the Swedish government ...

Core Insights - Amazon has launched its longest-ever Prime Day event, expanding from 48 to 96 hours, running from July 8 to 11, with expectations of significant online spending [1][2] - U.S. online sales during this event are projected to reach a record $23.8 billion, marking a 28.4% year-over-year increase [2] - The event's spending is anticipated to be equivalent to the combined online spending of two Black Fridays [2] E-commerce Trends - Amazon is offering millions of discounts across various product categories, with daily deal drops to encourage frequent consumer engagement [4] - Mobile shopping is expected to account for $12.5 billion, or 52.5% of total sales, highlighting the importance of mobile channels for impulse purchases [5] - Discounts across categories are expected to match last year's levels, with apparel at 24%, electronics at 22%, and other categories following [6] Technological Innovations - The use of generative AI-powered shopping assistants and chatbots is expected to increase, with traffic from AI sources projected to surge by 3,200% compared to last year [7] - The Buy Now, Pay Later (BNPL) option is forecasted to rise to 8% of overall online sales during the event, up from 7.6% in 2024 [8] Investment Opportunities - Investors can consider ETFs with significant allocations to Amazon, including ProShares Online Retail ETF (24.5% allocation), Fidelity MSCI Consumer Discretionary Index ETF (24.2%), and others [3][9][10][11][12][13] - ProShares Online Retail ETF has an asset base of $78.3 million, while Fidelity MSCI Consumer Discretionary Index ETF has $1.8 billion [9][10] - Vanguard Consumer Discretionary ETF holds a 22.8% allocation to Amazon and has an asset base of $6.1 billion [11]

Core Insights - Globant S.A. has partnered with Suntory Global Spirits to launch an AI-powered Commercial Insights Agent that enhances decision-making and strategy execution in real-time, significantly reducing analysis time from days to seconds [1][11] Group 1: AI Implementation and Capabilities - The Commercial Insights Agent aims to streamline the process for commercial teams by eliminating reliance on business intelligence teams, thus reducing wait times and operational costs [2] - This AI solution allows teams in sales, marketing, and product management to independently explore data and gain real-time insights, breaking down silos and accelerating execution speed [3] - The agent not only retrieves data but also provides contextual recommendations based on Suntory's internal data, offering tailored responses for specific business contexts [4] Group 2: Future Applications and Strategic Vision - Suntory plans to use the AI agent as a foundation for other applications, including brand planning optimization, commercial forecasting, and innovation pipeline management, positioning itself as an AI-first company [5] - The adoption of generative AI is expected to enhance agility and insight-driven growth, aligning with Globant's vision of an AI-powered enterprise where intelligent software agents improve business processes [6] Group 3: Company Performance and Market Conditions - Globant reported a 7% year-over-year growth in the last quarter, driven by AI-related opportunities and a focus on maximizing value from its top 100 clients through cross-industry innovation [8] - Despite this growth, the company faces challenges from a tough macroeconomic environment, including increased recession risks in the U.S., decreased consumer spending, and slower pipeline conversion [9]

Apple AI executive roaming Pang has reportedly left the company for a role at Meta. This is the latest move in the ongoing battle uh tech battle for top AI talent. Joining us now, Lauren Good, senior writer uh at Wired. These Lauren, it's good to see you. I mean, these guys, I look at it, they're so young, they must be like off the charts genius. If someone comes to me and says, "Mr. . Colonel, what what should I take in college. What are these people. What are they.Eee, what what computer uh program. Are t ...

Core Insights - The article highlights the journey of Fei-Fei Li from her early academic achievements to her current role as CEO of a company, emphasizing her passion for starting from scratch and building innovative solutions in AI [1][2][24]. Group 1: ImageNet and AI Development - ImageNet was conceived around 18 years ago to address the lack of data in AI and machine learning, particularly in computer vision, which was essential for the development of algorithms [4][6]. - The project aimed to download 1 billion images from the internet to create a global visual classification system, which became a cornerstone for training and testing machine learning algorithms [6][7]. - The breakthrough moment for ImageNet came in 2012 with the introduction of AlexNet, which utilized convolutional neural networks (CNN) and significantly reduced the error rate in image recognition tasks [8][10]. Group 2: Vision and Future of AI - Li emphasizes the importance of spatial intelligence for achieving general artificial intelligence (AGI), arguing that without it, AGI remains incomplete [14]. - The evolution of AI has progressed from object recognition to scene understanding and now to generating 3D worlds, which presents a new set of challenges [12][16]. - The integration of language models and visual understanding is seen as a critical area for future research and application, particularly in fields like robotics and the metaverse [20][21]. Group 3: Advice for Students and Researchers - Li advises students to pursue fundamental "North Star" problems in AI that are not necessarily tied to industrial applications, as academic resources have shifted significantly [34][35]. - She encourages interdisciplinary research in AI, particularly in scientific discovery, and highlights the importance of curiosity and problem-solving in graduate studies [38][39]. - The article underscores the need for a new generation of researchers who are fearless and willing to tackle complex challenges in AI [32][33].