
Building Richer and More Scalable GenAI Applications for Startups and Developers
'Building Richer and More Scalable GenAI Applications for Startups and Developers' took place from 2:25 p.m. to 3:10 p.m. PT in the Pauley East Breakout Room, where Heather Vancura and Sandeep Agrawal explored how MySQL HeatWave empowers startups and developers to build powerful, scalable generative AI applications. They demonstrated how its built-in vector store, in-database LLMs, and machine learning capabilities streamline complex RAG workflows — eliminating the need for additional databases or ETL processes. The session highlighted how MySQL HeatWave accelerates development, enables real-time data access, and frees up time for greater innovation.
SPEAKERS
Heather Vancura, Vice President, Community Engagement, Oracle MySQL
Sandeep Agrawal, Consulting Principal Member of Technical Staff, Oracle MySQL
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
13 minutes ago
- Yahoo
Where Will Realty Income Stock Be in 1 Year?
Key Points Realty Income stock trades down nearly 30% from its peak in February 2020. Despite its challenges, the size of the property portfolio and the dividend have increased dramatically since the stock peaked. Its valuation appears attractive when measured against a key metric. 10 stocks we like better than Realty Income › Realty Income (NYSE: O) may finally be getting the catalyst it needs. The company specializes in single-tenant net-leased properties and has built a massive property portfolio in its 56 years of existence. Still, despite that growth, the stock continues to trade well below its high just before the pandemic in early 2020. However, it may finally be getting the catalyst it needs this fall. If a particular, widely expected event takes place in September, the long-overdue recovery in Realty Income stock could finally begin. The factor that should finally boost Realty Income stock Over the next year, Realty Income may finally be getting its savior in the form of a September interest rate cut. According to the CME Group, rates futures traders have priced in a 95% chance of a rate cut in September, and those odds rose after the U.S. Bureau of Labor Statistics released a cool Consumer Price Index (CPI) report. For July, the CPI came in at 0.2%, translating into a 2.7% inflation rate for the year. Additionally, Treasury Secretary Scott Bessent speculated that the rate cut could come in at 0.5%, a notable change since most analysts had expected a 0.25% rate cut. Bessent also believes rates should ultimately be 150 basis points lower or more. Interest rates are critical to Realty Income, considering its dependence on capital. The stock reached its all-time high in February 2020, and despite rising steadily since late 2023, Realty Income sells at nearly a 30% discount from its peak. Nonetheless, its business and financial performance stand in contrast to the stock's behavior. As of the end of the second quarter of 2025, it owned or held an interest in more than 15,600 properties. When the stock peaked in 2020, its portfolio was barely above 6,500 properties, and it grew by buying competitors and developing additional properties internally. Moreover, during that time, it increased its monthly dividend several times per year, including during the pandemic. Now, its yearly dividend of nearly $3.23 per share amounts to a dividend yield of 5.5%, far above the S&P 500 average of 1.2%. The opportunity over the next year (and beyond) Additionally, the current interest rate levels have not deterred growth. In the first half of 2025, its revenue of $2.8 billion rose 7% compared to the same period in 2024. In comparison, its expenses grew by 6%, and its second-largest expense category was also interest payments. Since those rose by 13%, investors understandably want to see some relief in that area and may get it if Realty Income can refinance some debt or borrow more at lower rates. Still, it earned nearly $447 million in net income attributable to common shareholders in the first two quarters of 2025, rising 16% yearly despite higher interest rates. Furthermore, lower interest rates could persuade investors to take a closer look at its valuation. Its P/E ratio of 56 is slightly above the 54 average over the last five years. However, Realty Income is a real estate investment trust (REIT), meaning funds from operations (FFO) is a more critical metric than net income. FFO income for the trailing 12 months was over $3.65 billion. That gives it a price-to-FFO ratio of just under 15, a level that could make Realty Income stock even more attractive in an environment of falling interest rates. Realty Income in one year Amid likely interest rate cuts beginning in September, the recovery in Realty Income stock could begin in earnest over the next year, increasing the likelihood of market-beating returns. Indeed, its stock is in a long-term slump, likely because of interest rates. Although it probably would have earned a larger profit with lower interest rates, Realty Income still grew the size of its property portfolio and its dividend during that time. Assuming the forecast interest rate cut occurs, the company will likely have more ability to refinance some of its debt and acquire or build additional properties, which should boost its profits. When also considering its 5.5% dividend yield and a price-to-FFO ratio of 15, the long-awaited recovery in the stock price could accelerate if lower rates serve as a catalyst for the stock. Should you invest $1,000 in Realty Income right now? Before you buy stock in Realty Income, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and Realty Income wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $668,155!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $1,106,071!* Now, it's worth noting Stock Advisor's total average return is 1,070% — a market-crushing outperformance compared to 184% for the S&P 500. Don't miss out on the latest top 10 list, available when you join Stock Advisor. See the 10 stocks » *Stock Advisor returns as of August 13, 2025 Will Healy has positions in Realty Income. The Motley Fool has positions in and recommends Realty Income. The Motley Fool recommends CME Group. The Motley Fool has a disclosure policy. Where Will Realty Income Stock Be in 1 Year? was originally published by The Motley Fool Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data


Fast Company
14 minutes ago
- Fast Company
Older Americans like using AI, but trust issues remain, survey shows
Artificial intelligence is a lively topic of conversation in schools and workplaces, which could lead you to believe that only younger people use it. However, older Americans are also using AI. This raises the questions of what they're doing with the technology and what they think of it. I'm a researcher who studies older age, disability, and technology use. I partnered with the University of Michigan's National Poll on Healthy Aging to survey nearly 3,000 Americans over the age of 50. We asked them whether and how they use AI and what concerns they have about using it. Of the older people we surveyed, 55% responded that they had used some type of AI technology that they can speak to, like Amazon's Alexa voice assistant, or type to, like OpenAI's ChatGPT chatbot. Voice assistants were overwhelmingly more popular than text chatbots: Half of them reported using a voice assistant within the past year, compared to one in four who used a chatbot. Popular, among some Independent living continues to be a major goal of older Americans as they either do not want to or are unable to afford to live in long-term care communities, and AI may be a tool to support this goal. Our findings show that older adults who use AI in their homes find it helpful for living independently and safely. They mostly used these technologies for entertainment or searching for information, but some of their responses show more creative uses, such as generating text, creating images, or planning vacations. Nearly one in three older adults reported using AI-powered home security devices, including doorbells, outdoor cameras, and alarm systems. Nearly all of those people—96%—felt safer using them. While there has been some concern about privacy when using cameras indoors to monitor older people, cameras aimed outdoors seem to provide a sense of security for those who may be aging in their homes alone or without family nearby. Of the 35% of older adults who reported using AI-powered home security systems, 96% said they were beneficial. However, when we dove into which older adults are using AI, we saw that demographics matter. Specifically, those in better health, with more education, and higher incomes were more likely to have used AI-powered voice assistants and home security devices in the past year. This pattern seems to follow adoption trends of other technologies such as smartphones. Trusting AI is tricky As more information about AI's accuracy emerges, so do questions about whether people can trust it. Our survey results show that older Americans are split on whether to trust content that was generated by AI: 54% said they trust AI, and 46% said they do not. People who trusted AI more were more likely to have used some type of AI technology within the past year. Further, AI-generated content can sometimes look correct but be inaccurate. Being able to identify incorrect information from AI is important for assessing whether and how to use AI-generated search results or chatbots. However, only half of the older people surveyed were confident that they could identify whether content from AI was incorrect. More educated users were more likely to say they felt confident they could spot inaccuracies. Conversely, older adults who reported lower levels of physical and mental health were less likely to trust AI-generated content. What to do? Together, these findings repeat a common cycle of technology adoption that is pervasive even among younger demographics, where more educated and healthy people are among the first to adopt and be aware of newer technologies. This raises questions about how best to reach all older people about the benefits and risks of AI. How can older people who are not AI users get support for learning more so that they can make informed decisions about whether to use it? How can institutions develop better training and awareness tools so that older people who trust AI avoid trusting it too much or inappropriately using AI to make important decisions without understanding the risks? Our survey results highlight potential starting points for developing AI literacy tools for older adults. Nine in ten older people wanted to know when information had been generated by AI. We are starting to see AI labels on search engine results, such as Google search's AI snippets. Michigan and other states have adopted policies for disclosing AI content in political ads, but these notices could be made more visible in other contexts, such as nonpolitical advertising and on social media. Further, nearly 80% of older people wanted to learn more about AI risks—where might it go wrong and what to do about it. Policymakers can focus on enforcing AI notices that signal content was generated by AI, particularly at a critical time when the U.S. is considering revising its AI policies to do just the opposite—removing language about risk, discrimination, and misinformation—based on a new executive order.

Wall Street Journal
15 minutes ago
- Wall Street Journal
The New AI Data Trade: Web Publishers and Startups Look to Cash In
AI companies need large quantities of data to fuel their large language models. Content and data from internet publishers and videos are important sources for them. But publishers and content creators want credit and compensation for their work. Companies like Reddit have responded by filing lawsuits against AI companies. Big publishers like the New York Times have struck content deals to license their data to AI companies for millions of dollars. This has opened the door for a new stream of revenue. But what about smaller players?