openai, google and intel Updates

The artificial intelligence landscape is rapidly evolving, with significant developments across various sectors. In the financial advisory space, Orion plans to launch AI assistants for advisors in 2026, following beta testing in late 2025, with their CEO stating AI is a major investment. Envestnet is backing its five-year plan with a $1 billion investment in R&D, client support, and AI to transform the advisor experience. Meanwhile, SAP is expanding its Sovereign Cloud portfolio to bolster AI innovation and meet regulatory requirements for European customers, offering new deployment options that keep data within EU boundaries. In China, AI is driving growth in consumption and trade by transforming foreign trade models, with entrepreneurs using AI for virtual avatars and digital showrooms, supported by the government's 'AI Plus' initiative. On the operational side, a new OpenAI paper suggests that modifying AI evaluation methods to reward uncertainty could reduce 'hallucinations' and speed up corporate adoption of generative AI, which has been slow due to data security and quality concerns. Tech giants like Google and Intel are partnering with the US government on AI training programs to reskill the workforce, with initiatives like Google's 'AI Works for America' aiming to prepare workers for an AI-driven future. Skai is enhancing customer insights by using Amazon Bedrock Agents to enable natural language queries for data analysis, significantly reducing report generation time. Separately, Yichao Ji's AI agent, Manus, has become a global hit, allowing users to perform tasks beyond simple Q&A. In sports analytics, the SportsLine Machine Learning Model, using AI, predicts Chicago Bears quarterback Justin Fields will pass for under 218.5 yards against the Minnesota Vikings, citing his struggles in primetime games and the Vikings' strong pass defense. Conversely, the same model predicts Ravens quarterback Lamar Jackson will pass for over 229.5 yards against the Bills, noting Jackson's past performance and the Bills' weaker pass defense. A new book by Eliezer Yudkowsky and Nate Soares offers a more balanced perspective on AI safety, arguing against the inevitability of AI destroying humanity.

Key Takeaways

  • Orion will release AI assistants for financial advisors in 2026, with beta testing starting in late 2025.
  • Envestnet is investing $1 billion over five years into AI and advisor tools to enhance the client experience.
  • SAP is expanding its Sovereign Cloud to support AI innovation and data residency for European customers.
  • China's 'AI Plus' initiative is boosting consumption and trade through AI-powered foreign trade models.
  • A new OpenAI paper suggests that reducing AI 'hallucinations' by rewarding uncertainty could accelerate business adoption.
  • Google and Intel are collaborating with the US government on AI training programs for American workers.
  • Skai is leveraging Amazon Bedrock Agents to provide customers with faster, natural language-based data analysis and insights.
  • Yichao Ji's AI agent, Manus, has gained global popularity for its ability to perform tasks beyond simple question answering.
  • AI models predict Justin Fields will pass for under 218.5 yards against the Vikings, while Lamar Jackson is predicted to exceed 229.5 passing yards against the Bills.
  • A new book argues against the notion that AI will inevitably lead to humanity's destruction, offering a balanced view on AI safety.

AI predicts Justin Fields under 218.5 passing yards in Bears vs. Vikings game

The SportsLine Machine Learning Model, using AI, predicts Chicago Bears quarterback Justin Fields will pass for under 218.5 yards against the Minnesota Vikings. The model analyzed Fields' past performance in primetime games, where he struggled with sacks and passing yards, and the Vikings' strong pass defense. It forecasts Fields to throw for approximately 174.8 yards, making the 'under' a 4.5-star prop bet.

AI model suggests Justin Fields under 214.5 passing yards in Bears-Vikings

The SportsLine Machine Learning Model, powered by AI, predicts that Bears quarterback Justin Fields will pass for fewer than 214.5 yards in the game against the Vikings. The model considers Fields' history in night games and the Vikings' strong pass defense. It projects Fields to achieve around 171 passing yards, marking this prediction as a significant 4.5-star prop bet.

AI predicts Justin Fields under 214.5 yards in Bears vs. Vikings matchup

The SportsLine Machine Learning Model, utilizing AI, predicts that Bears quarterback Justin Fields will pass for under 214.5 yards against the Vikings. The model's prediction is based on Fields' past struggles in primetime games and the Vikings' strong pass defense. It forecasts Fields to throw for about 172 yards, making this a highly rated 4.5-star NFL prop bet.

AI predicts Lamar Jackson over 229.5 passing yards in Bills vs. Ravens game

The SportsLine Machine Learning Model, using AI, predicts Ravens quarterback Lamar Jackson will pass for over 229.5 yards against the Bills. The model notes Jackson's strong performance against Buffalo in the past and the Bills' weaker pass defense. It projects Jackson to achieve around 275.4 yards, making this a 4.5-star prop pick.

AI predicts Justin Fields under 218.5 passing yards in Bears vs. Vikings

The SportsLine Machine Learning Model, using AI, predicts Bears quarterback Justin Fields will pass for under 218.5 yards against the Vikings. The model considers Fields' past performance in primetime games and the Vikings' strong pass defense. It forecasts Fields to throw for approximately 174.8 yards, making this a 4.5-star NFL prop bet.

Orion to launch AI assistants for financial advisors in 2026

Orion, a wealthtech provider, will release new AI assistants for financial advisors in 2026. These tools will include features like a reporting assistant and a dashboard for leaders to track performance. Beta testing is planned for late 2025, with a wider rollout in 2026. Orion's CEO stated that AI is a major investment for the company, aiming to empower clients and improve internal operations.

Envestnet reveals five-year plan focusing on AI and advisor tools

Envestnet announced a five-year strategic plan with a $1 billion investment in research and development, client support, and AI. The company aims to transform the advisor experience by unifying its platform and offering advanced tools for trading, reporting, and financial planning. Key focuses include enhancing UMA infrastructure, flexible household modeling, and integrating alternative investments to better serve high-net-worth clients.

SAP expands Sovereign Cloud to boost AI innovation in Europe

SAP is expanding its Sovereign Cloud portfolio to enhance AI innovation and meet regulatory needs for European customers. The company is offering new deployment options, including SAP Cloud Infrastructure and SAP Sovereign Cloud On-Site, ensuring data stays within EU boundaries. These expanded offerings aim to provide secure, scalable, and future-ready digital resilience for European businesses.

AI drives new growth in China's consumption and trade

Artificial intelligence is significantly boosting China's consumption and trade by transforming foreign trade models. Entrepreneurs are using AI for virtual avatars, multilingual product introductions, and digital showrooms to reach global markets. The Chinese government is promoting AI through its 'AI Plus' initiative to enhance various sectors, including industry and consumption, driving efficiency and innovation.

How to prevent predictive AI projects from failing

Many predictive AI projects fail because the business value is not clearly measured or communicated to stakeholders. Technical metrics alone are insufficient to drive adoption. To succeed, data scientists must demonstrate concrete business benefits, such as increased profit, in terms stakeholders understand. Focusing on Key Performance Indicators (KPIs) and the potential business improvement is crucial for ensuring AI models are operationalized and deliver impact.

Reducing AI hallucinations could speed up business adoption

Corporate adoption of generative AI is growing slowly, with concerns about data security and quality being major barriers. A new OpenAI paper suggests that AI models often 'hallucinate' or confidently provide incorrect information because current evaluation methods penalize uncertainty. By changing these evaluation rules to reward expressing uncertainty, AI could become more reliable, encouraging businesses to adopt the technology more readily.

AI won't destroy humanity, says new book

A new book by Eliezer Yudkowsky and Nate Soares argues against the idea that artificial intelligence will inevitably destroy humanity. While acknowledging concerns about AI safety, the authors aim to provide a more balanced perspective on the potential risks and benefits of AI development.

Tech firms and government partner on AI training for US workers

Major tech companies like Google and Intel, alongside government agencies, are launching AI training programs to reskill the US workforce. Initiatives like Google's 'AI Works for America' aim to equip workers with AI skills, addressing job displacement fears and fostering innovation. These collaborations seek to integrate AI training into state and federal workforce development, preparing Americans for an AI-driven future.

Skai uses Amazon Bedrock Agents for better customer insights

Skai has improved customer insights by using Amazon Bedrock Agents to revolutionize data access and analysis. Previously, customers spent days preparing reports and struggled with complex data. Now, with AI agents, users can ask questions in natural language, generate reports quickly, and visualize insights, significantly reducing the time and effort needed for data analysis.

Yichao Ji becomes a global AI app hitmaker with Manus

Yichao 'Peak' Ji, chief scientist at Butterfly Effect, has achieved global success with Manus, an AI agent that can perform tasks beyond answering questions. The app, which went viral after its March launch, allows users to interact naturally and carry out actions like filling forms online. Ji, recognized as an MIT Technology Review Innovator Under 35, leads product development for Manus as the company expands internationally.

Sources

AI Machine Learning Predictive Analytics Sports Betting NFL Justin Fields Lamar Jackson Financial Advisors Wealthtech Envestnet SAP Sovereign Cloud Europe China Consumption Trade AI Hallucinations Generative AI AI Safety AI Ethics Workforce Development Tech Industry Government Partnerships Amazon Bedrock Customer Insights Data Analysis AI Agents Manus AI Apps