Core Insights - Diginex Limited has been included in the S&P Global Broad Market Index (BMI), effective June 22, 2025, marking a significant milestone for the company [1][2][3] Company Overview - Diginex Limited is a leading provider of Sustainability RegTech solutions, focusing on streamlining ESG, climate, and supply chain data collection and reporting [5] - The company utilizes advanced technologies such as blockchain, AI, and machine learning to enhance transparency in corporate regulatory reporting and sustainable finance [5] S&P Global BMI Inclusion - The S&P Global BMI is a comprehensive equity benchmark that includes over 14,000 companies from developed and emerging markets, indicating Diginex's compliance with standards of market capitalization, liquidity, and public float adjustment [2][4] - Inclusion in the S&P Global BMI is expected to enhance Diginex's visibility among institutional investors and broaden its shareholder base, potentially improving trading liquidity and supporting long-term growth [3][2] Product and Service Offerings - Diginex's award-winning diginexESG platform supports 17 global frameworks, including GRI, SASB, and TCFD, providing clients with comprehensive ESG reporting solutions [6] - The platform offers end-to-end support, including materiality assessments, data management, stakeholder engagement, and report generation [6]

AI Engineering Roadmap - The roadmap emphasizes the progression towards Large Language Models (LLMs), Natural Language Processing (NLP), and AI agents [2] - The roadmap suggests exploring Computer Vision (CV) and Reinforcement Learning (RL) as equally valuable paths for AI engineers [2] Resources for AI Development - The roadmap provides links to resources for Machine Learning (ML) and AI beginners [3] - The roadmap includes resources for hands-on experience with LLMs and advanced Retrieval Augmented Generation (RAG) techniques [3] - The roadmap offers resources for building AI agents, from beginner level to production-ready [3] - The roadmap links to a hub for AI engineering resources [3]

[Applause] Hey everybody, my name is Andre Mai and you guys might know me from this viral clip from graduation. Today I want to let you guys know what was actually on my computer screen. Ready.One, two, three. I'm a computational systems biology student at UCLA and I had two finals. One was due at 5:00 p.m. and the other one was due at midnight. And with my graduation ceremony at 3 p.m. , I just knew I had to lock in. For example, I was wrapping up all the documentation that I've ever for my machine learnin ...

Core Insights - Amphenol (APH) and Bel Fuse (BELFB) are prominent manufacturers of electrical and electronic products, with Amphenol focusing on connectors, interconnect systems, antennas, and cables, while Bel Fuse offers products that power, protect, and connect electronic circuits [1][2] Market Overview - The global electronic components market was valued at $393.63 billion in 2024 and is projected to grow to $847.88 billion by 2032, with a CAGR of 10.3% from 2025 to 2032, presenting significant growth opportunities for both companies [3] Amphenol (APH) Analysis - Amphenol's diversified business model reduces volatility across end markets and geographies, with strong demand in commercial aerospace and defense driving growth [4] - The company anticipates high-single-digit sequential sales growth in Q2 2025, supported by demand for jetliners and next-gen aircraft [4] - The increasing use of AI and machine learning is expected to enhance APH's long-term prospects in the IT datacom market [5] - Acquisitions have bolstered APH's product offerings, contributing 8% to 2024 revenues, with notable acquisitions including CIT and Lutze [6][7] - APH's acquisition of CommScope's Andrew business is projected to add approximately $0.09 to earnings in 2025, while the LifeSync acquisition enhances its medical interconnect product range [7] Bel Fuse (BELFB) Analysis - Bel Fuse also benefits from a diversified business model, with a backlog of orders reaching $395.7 million, up 4% sequentially, driven by strength in aerospace, defense, space, and AI [8] - However, Bel Fuse faces challenges from lower sales in the consumer market and elevated costs associated with the Enercon acquisition, impacting revenues [9][10] - The company is implementing cost-saving initiatives expected to materialize over the next 12 to 18 months [11] Stock Performance and Valuation - Year-to-date, APH shares have increased by 37.9%, outperforming BELFB's 12.1% rise [12] - Valuation metrics indicate APH shares are overvalued with a Value Score of D, while BELFB shares are considered cheap with a Value Score of B [15] - APH's forward 12-month Price/Sales ratio stands at 5.58X, significantly higher than BELFB's 1.82X [18] Earnings Estimates - The Zacks Consensus Estimate for APH's 2025 earnings is $2.68 per share, reflecting a 41.8% year-over-year increase [19] - For Bel Fuse, the consensus estimate for 2025 earnings is $6.05 per share, indicating an 84.45% year-over-year increase [20] Investment Outlook - Amphenol is viewed as a stronger investment option compared to Bel Fuse, benefiting from acquisitions and solid cash flow, while Bel Fuse is facing tariff-related challenges [21] - Amphenol holds a Zacks Rank 2 (Buy), while Bel Fuse has a Zacks Rank 3 (Hold) [22]

Oh, it's a great question. Um, you know, I'm trying to think what do I tell my kids to go to school for. What what should they do.The short answer is I don't know. But what I speculate, anything machine learning, AI, large language models. What happened is back in the day, you were competing over Java, Python coders.They'd come in and you they they were preaching top dollar. Whatever they wanted, you had to give it to them. Now, with AI, it will code in any language you want.And so, you can be much more uh ...

Core Insights - The article discusses the expertise of a DevOps Engineer specializing in AI tools and applications, highlighting their deep knowledge in generative AI systems and machine learning algorithms [1] - The engineer is pursuing advanced AWS machine learning certifications to enhance their expertise in AI and machine learning [1] - The engineer contributes insights on AI and machine learning through an investment-focused lens on Seeking Alpha [1] Group 1 - The engineer works for a major subsidiary of a large-cap Fortune 500 company, indicating a strong corporate backing and resources [1] - The engineer ranks 792 out of 31,393 financial bloggers and 1,308 out of 41,021 experts according to TipRanks, showcasing their credibility and recognition in the field [1] - The engineer has no current stock or derivative positions in any mentioned companies, ensuring an unbiased perspective in their analysis [1]

Core Insights - The article discusses the expertise of a DevOps Engineer specializing in AI tools and applications, highlighting their deep knowledge in generative AI systems and machine learning algorithms [1] - The engineer is pursuing advanced AWS machine learning certifications to enhance their expertise in AI and machine learning [1] - The engineer contributes insights on AI and machine learning through an investment-focused lens on Seeking Alpha [1] Group 1 - The engineer works for a major subsidiary of a large-cap Fortune 500 company, indicating a strong corporate backing and resources [1] - The engineer ranks highly among financial bloggers and experts, showcasing their credibility and influence in the investment community [1] - The article emphasizes that the engineer has no financial positions in the companies mentioned, ensuring an unbiased perspective [1] Group 2 - The engineer's focus on the buildout, deployment, and maintenance of AI tools suggests a practical approach to AI implementation in business [1] - The mention of machine learning algorithms and model training indicates a technical depth that could be valuable for companies looking to adopt AI solutions [1] - The article reflects a growing trend in the industry towards advanced certifications and expertise in AI and machine learning, which may influence hiring and investment decisions [1]

Core Insights - Glucotrack's Continuous Blood Glucose Monitor (CBGM) technology has demonstrated safety and accuracy with a Mean Absolute Relative Difference (MARD) of 7.7% in a first-in-human clinical study [1][2][5] Study Results - The clinical study met all primary and secondary endpoints, achieving a 99% data capture rate and no serious adverse events related to the procedure or device [2][4] - Analysis showed that 92% of CBGM measurement values were in the green zone according to the Diabetes Technology Society Error Grid, indicating high clinical accuracy [3] Technology Overview - The CBGM is a fully implantable system that measures glucose directly from blood, eliminating lag time associated with traditional interstitial fluid monitors [6] - Designed for a three-year sensor life, the system requires minimal calibration and has no on-body wearable component, offering a less intrusive solution for diabetes management [6][11] Future Plans - Glucotrack plans to initiate a long-term early feasibility study in Q3 2025 to further evaluate the safety and performance of the CBGM technology [5]

Well, last week we heard about how OpenAI CEO Sam Elman said that Mark Zuckerberg was offering some of his employees a hundred million B signing bonuses to switch teams and even higher salaries. Today we're talking about the intense fight for AI hiring beyond the tech superpowers. Matt Walsh is the founder and CEO of Blue Signal Search and he joins us live here at the NASDAQ.And Matt, this is pretty interesting. We hear about the headlines about these huge hundred million dollar signing bonuses, but no matt ...

AI in Learning and Development - AI can transform learning and development for individuals and organizations [2] - AI can democratize and simplify learning, enhancing experiences for everyone [3][4] - AI can offer personalized learning experiences, filling the gaps in traditional learning methods [5][7] - Open-source AI provides accessible resources for innovation and creation [8][9] - AI should be used as a co-creator and co-pilot, not a complete replacement [12] AI Tools and Applications - Dolingo app integrates AI to provide personalized language learning feedback and simulations [12][13][14][15] - Perplexity AI serves as a research assistant for fine-tuning resources [16] - Canva AI is used for creating images, videos, and graphics [16] - Notebook LM helps structure thought processes by connecting various resources [17] - Google AI Studio is used for coding and creating prototypes [17] Challenges and Considerations - AI can hallucinate and provide incorrect responses [26] - AI can be biased if trained on non-neutral data [26] - It is important to use AI responsibly and ethically, ensuring it benefits society [24][34] - By 2030, around 50% of employees will need to reskill due to changing job requirements [35]