When Jeff Bezos said that one breakthrough technology would shape Amazon’s destiny, even Wall Street’s biggest analysts were caught off guard. Fast forward a year and Amazon’s new CEO Andy Jassy described generative AI as a “once-in-a-lifetime” technology that is already being used across Amazon to reinvent customer experiences. At the 8th Future Investment Initiative conference, Elon Musk predicted that by 2040 there would be at least 10 billion humanoid robots, with each priced between $20,000 and $25,000 ...

Core Insights - ING has a legacy of innovation, having launched ING Direct in the late 1990s as a branchless banking model to reduce costs and offer higher savings rates, expanding this model to multiple countries before digital onboarding became mainstream [2] Group 1: Company Overview - ING employs 60,000 people globally, including 20,000 engineers, and operates in over 100 countries, with a balance sheet exceeding €1.1 trillion, over €700 billion in customer lending, and nearly €740 billion in deposits [3] - The retail business accounts for half of ING's capital and two-thirds of its profits, serving over 40 million clients, and is a leading mortgage lender in Europe with over €300 billion in housing loans and €100 billion in loans to SMEs [4] Group 2: Digital Strategy - Digital innovation is central to ING's strategy, with 1.2 million clients joining digitally last year without human interaction, 70% of loans processed through digital workflows, and 90% of sales occurring online, alongside a mobile app receiving 170 million visits weekly [5] - ING is integrating generative AI in various operations, including customer contact centers and lending, with plans for agentic AI in mortgage operations starting in Germany and the Netherlands [5] Group 3: Financial Literacy and Wealth Transfer - The upcoming generational wealth transfer in Europe presents both challenges and opportunities for financial literacy, with European households lagging behind Americans in investment growth, particularly in Italy where less than 10% of portfolios are in equity [6] - ING employs a three-pillar approach to improve financial literacy: innovation, personalization, and transparency, delivering 91% of investment proposals through digital channels and emphasizing goal-oriented advice [7]

Group 1 - Proactive provides fast, accessible, informative, and actionable business and finance news content to a global investment audience [2] - The news team covers medium and small-cap markets, as well as blue-chip companies, commodities, and broader investment stories [3] - Proactive's content includes insights across various sectors such as biotech, pharma, mining, natural resources, battery metals, oil and gas, crypto, and emerging technologies [3] Group 2 - Proactive is committed to adopting technology to enhance workflows and improve content production [4] - The company utilizes automation and software tools, including generative AI, while ensuring all content is edited and authored by humans [5]

About this content About Emily Jarvie Emily began her career as a political journalist for Australian Community Media in Hobart, Tasmania. After she relocated to Toronto, Canada, she reported on business, legal, and scientific developments in the emerging psychedelics sector before joining Proactive in 2022. She brings a strong journalism background with her work featured in newspapers, magazines, and digital publications across Australia, Europe, and North America, including The Examiner, The Advocate, ...

Company Overview - Proactive provides fast, accessible, informative, and actionable business and finance news content to a global investment audience [2] - The news team operates from key finance and investing hubs including London, New York, Toronto, Vancouver, Sydney, and Perth [2] Market Focus - Proactive specializes in medium and small-cap markets while also covering blue-chip companies, commodities, and broader investment stories [3] - The content delivered includes insights across various sectors such as biotech and pharma, mining and natural resources, battery metals, oil and gas, crypto, and emerging digital and EV technologies [3] Technology Adoption - Proactive is recognized as a forward-looking technology adopter, utilizing automation and software tools, including generative AI, to enhance workflows [4][5] - All content published by Proactive is edited and authored by humans, ensuring adherence to best practices in content production and search engine optimization [5]

NEW YORK--(BUSINESS WIRE)--This holiday season, Perfect Corp. (NYSE: PERF) is celebrating one of its most successful years to date for its YouCam App Suite, driven by rapid global adoption of AI-first visualization experiences. Across YouCam Perfect, YouCam Makeup, YouCam Video, YouCam AI Pro, and YouCam Enhance, users embraced an unprecedented wave of creativity powered by multimodal Generative AI, AR visualization, and agentic AI workflows. In 2025, users across the YouCam ecosystem created n. ...

MIAMI--(BUSINESS WIRE)---- $HCKT #ai--The Hackett Group, Inc. (NASDAQ: HCKT), a leading Gen AI consulting and digital transformation firm, today announced the launch of XT™ and AIXelerator™ – two new Gen AI-enabled service delivery platforms designed to significantly accelerate and enhance the strategic insight and speed of transformation and technology implementation engagements. These platforms redefine the way transformation consulting and software implementation teams deliver engagements by leveraging t ...

智通财经APP获悉，花旗认为，最新公布的北美软件板块2025年第三季度"成绩单"给市场吃下了一颗定 心丸：从收入层面来看，花旗所覆盖的二十余家SaaS(软件即服务)及基础设施软件公司，在2024 - 2026 年期间的收入复合增长率(CAGR)中位数稳定在15%，与之前持平;而平均值则从15%小幅上扬至16%， 并且已经连续两个季度未出现大规模下调收入预期的情况。 DigitalOcean则在销售效率方面"一枝独秀"。2025年，其销售效率指标大幅增长0.23，跃升至1.95;到了 2026年，该指标又进一步增长0.38，达到2.37。这两个增幅在花旗所覆盖的公司中均为最大。不仅如 此，公司还将原本设定于2027年实现的18 - 20%的增长目标，整整提前了一年。 Fastly的"逆袭"表现最为引人注目。在CEO和CFO履新后的首个完整季度，公司便展现出强劲的复苏态 势。收入增速指引上调约3个百分点，进而带动三年收入CAGR提升超过2个百分点，净收入留存率 (NRR)也回升约2个百分点，达到106%。与此同时，运营利润率的扩张幅度上调超过2个百分点，自由 现金流率抬升逾3个百分点，2025年销售效率更是提高了 ...

Core Insights - Salesforce executives have acknowledged a decline in trust towards large models over the past year, leading to a strategic shift in their AI product Agentforce, which will now rely more on deterministic automation techniques rather than generative AI [1][2] Group 1: Strategy Shift - The adjustment aims to address technical failures such as "hallucinations" that large models experience when handling precise tasks, ensuring that critical business processes follow consistent steps [1] - Agentforce is now utilizing predefined instruction-based deterministic automation to eliminate the inherent randomness of large models [1] Group 2: Technical Reliability Challenges - Salesforce has encountered multiple technical challenges with large models, including the issue where models begin to omit instructions when given more than eight commands, which is problematic for tasks requiring precision [2] - The experience of Vivint, a home security company using Agentforce for customer support, highlights reliability issues, such as the failure to send satisfaction surveys despite clear instructions [2] Group 3: Addressing AI Drift - AI "drift" is another significant challenge, where AI agents lose focus on primary objectives when users ask unrelated questions [3] - To mitigate this, Salesforce has developed the Agentforce Script system, which identifies tasks that can be handled by non-large model agents to minimize unpredictability [3] Group 4: Operational Adjustments - Salesforce has also reduced its reliance on large models in its operations, despite previous statements about using OpenAI's models for customer service inquiries [4] - Recent responses from the company have shifted to providing links to blog articles instead of engaging in further inquiries, resembling traditional basic chatbot interactions [4] - The company has improved its topic structure and protective measures, leading to a projected 90% increase in resolved conversations by the end of the fiscal year [4] Group 5: Industry Trends - This trend reflects broader industry challenges, as evidenced by issues faced by other companies, such as a chatbot from Gap Inc. that provided inappropriate responses, highlighting the common problem of large models deviating from expected use [5]

Core Insights - Amazon is reportedly in early discussions to invest approximately $10 billion in OpenAI, which could value OpenAI at over $500 billion, highlighting the strategic importance of AI in the tech industry [1] - The investment aligns with Amazon's previous commitment of at least $8 billion in OpenAI competitor Anthropic, indicating a strong interest in generative AI [2] - Amazon Web Services (AWS) has been developing its own AI chips, such as Inferentia and Trainium, to meet increasing demand for AI infrastructure [3] Investment and Market Position - The potential investment in OpenAI could redefine Amazon's competitive stance in the cloud market and enhance demand for its custom AI infrastructure [4] - Amazon operates a diverse range of businesses, including cloud services, digital streaming, and advertising, contributing to its market capitalization of $2.4 trillion [5] - Despite its strong market position, Amazon's stock has shown relatively muted performance, with a 1.82% increase over the past 52 weeks and a year-to-date return of 3.6%, underperforming compared to the S&P 500 Index [6]