Artificial Intelligence Stocks: The 10 Best AI Companies

Artificial Intelligence Stocks: The 10 Best AI Companies Artificial intelligence, automation and robotics are disrupting virtually every industry. Remarkable advances in AI technology — including OpenAI’s ChatGPT AI chatbot, GitHub’s Copilot AI code generation software and Google’s Gemini AI model — are now familiar names for many. [Sign up for stock news with our Invested newsletter.] Whether it be machine learning, large language models, smart applications and appliances, digital assistants, synthetic media software, or autonomous vehicles, companies that aren’t investing in AI products and services risk becoming obsolete. Countless companies stand to benefit from AI, but a handful of stocks have AI and automation as a central part of their businesses. Here are 10 of the best AI stocks to buy, according to Argus: Important Power BI Features That Can Benefit Your Business – Big Stock Implied upside over Aug. 8 closing price Microsoft Corp. (ticker: MSFT) 30.6% Alphabet Inc. (GOOG, GOOGL) 23.4% Amazon.com Inc. (AMZN) 23.6% Nvidia Corp. (NVDA) 42.9% Meta Platforms Inc. (META) 17.7% Taiwan Semiconductor Manufacturing Co. Ltd. (TSM) 21.5% Adobe Inc. (ADBE) 27.3% ASML Holding NV (ASML) 42.6% International Business Machines (IBM) 17.8% Arista Networks Inc. (ANET) 16.6% Microsoft Corp. (MSFT) Microsoft has invested $13 billion in OpenAI and has integrated ChatGPT into its Bing search engine. Microsoft has also combined all its AI copilots into a single AI experience called Microsoft Copilot. In May, the company published its inaugural Responsible AI Transparency Report, publicly detailing the company’s AI practices, spelling out its AI goals and highlighting its accountability initiatives. Analyst Joseph Bonner says Microsoft is investing heavily in AI via both internal development and outside stakes in AI startups. Microsoft CEO Satya Nadella aims to prioritize generative AI opportunities. Argus has a “buy” rating and $526 price target for MSFT stock, which closed at $402.69 on Aug. 8. Alphabet Inc. (GOOG, GOOGL) Power BI – Data Visualization Microsoft Power Platform Google and YouTube parent company Alphabet uses AI and automation in virtually every facet of its business, from ad pricing to content promotion to Gmail spam filters. Google launched its Bard AI chatbot in March 2023. In December 2023, Google announced Gemini, its most capable and expansive AI model ever. In May, Google launched AI Overview, a service that provides AI-generated summaries on the top of Google search results. Bonner says Google is working to integrate its Gemini advanced AI model throughout its tech stack. Argus has a “buy” rating and $200 price target for GOOGL stock, which closed at $162.03 on Aug. 8. Amazon.com Inc. (AMZN) Amazon has integrated AI into every aspect of its business, including targeted advertisements, marketplace search and recommendation algorithms, and Amazon Web Services (AWS). Amazon offers a wide range of AI and machine learning services to its AWS cloud customers, including advanced text analytics, automated code reviews and chatbots. Amazon is reportedly investing $100 billion over the next decade in building a network of AWS data centers that can handle the tremendous AI workload. Analyst Jim Kelleher says the push for AI cloud services has reinvigorated AWS. Argus has a “buy” rating and $205 price target for AMZN stock, which closed at $165.80 on Aug. 8. Nvidia Corp. (NVDA) Power BI – Data Visualization Microsoft Power Platform High-end chipmaker Nvidia provides the massive processing power needed to run advanced AI applications. Nvidia has been one of the best-performing stocks in the entire market in recent years, and it’s largely due to the company’s AI exposure. CEO Jensen Huang recently announced Nvidia will begin designing and rolling out new AI chips on an annual basis rather than the two-year chip refresh cycles it has used in the past. Kelleher says Nvidia’s Blackwell platform enables generative AI on trillion-parameter large language models. Argus has a “buy” rating and $150 price target for NVDA stock, which closed at $104.97 on Aug. 8. Meta Platforms Inc. (META) Meta Platforms is a market leader in social media and online advertising and is the parent company of Facebook, Instagram and other platforms. Meta is reportedly planning to release free AI customer-relations chatbots for businesses on its WhatsApp messaging platform. The move will be a test of CEO Mark Zuckerberg’s bold strategy to make Meta’s AI technology free and open to the public in an effort to gain market share and drive down competitors’ prices. Bonner says Zuckerberg has repeatedly built large customer bases and then effectively monetized them. Argus has a “buy” rating and $600 price target for META stock, which closed at $509.63 on Aug. 8. [READ: Are We in an AI Bubble?] Power BI – Data Visualization Microsoft Power Platform Taiwan Semiconductor Manufacturing Co. Ltd. (TSM) Taiwan Semiconductor Manufacturing is the world’s largest pure-play semiconductor foundry. TSM manufactures all the advanced AI semiconductors for Nvidia and other AI chipmakers. In June, CEO C.C. Wei said AI-driven demand makes him “very optimistic” about Taiwan Semiconductor’s outlook for the next several years. Kelleher says AI technology moving into the mainstream, coupled with lower inflation and a rebound in electronic device demand, will support solid revenue growth for TSM. The company expects global semiconductor market demand will grow 10% overall in 2024. Argus has a “buy” rating and $200 price target for TSM stock, which closed at $164.55 on Aug. 8. Adobe Inc. (ADBE) Adobe produces creative content software and other applications used for marketing and e-commerce. The company’s Firefly generative machine learning model is generating customer interest across Photoshop, Illustrator and other platforms. Adobe has also applied its Sensei AI and machine learning technology to its Adobe Analytics, Campaign and Target products. Adobe recently said it will not train its AI models on users’ content after artists accused the company of selling AI imitations of their work. Bonner says Adobe will continue to integrate additional AI features across its product set. Argus has a “buy” rating and $675 price target for ADBE stock, which closed at $530.24 on Aug. 8. ASML Holding NV (ASML) ASML produces photolithography systems and other processing equipment used in semiconductor …

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Hidden Apple Intelligence Features Revealed

Hidden Apple Intelligence Features Revealed Apple’s latest iOS 18.1 beta 2 update brings a suite of advanced AI-driven features for Apple Intelligence designed to transform your user experience. These hidden gems leverage Apple’s innovative AI technology to automate tasks, enhance communication, and create personalized content, ultimately streamlining your daily interactions with your device. Let’s dive into the details of these innovative features. Smart Reply: Effortless Email and Message Responses The Smart Reply feature in iOS 18.1 takes the hassle out of responding to emails and messages. Intelligently analyzing the content of your incoming communications suggests complete, contextually relevant replies. Whether you receive an email requesting a meeting confirmation or a message asking for your availability, Smart Reply offers appropriate responses like “Yes, that works for me” or “Can we reschedule?” With just a tap, you can send a thoughtful reply, saving you valuable time and effort. Microsoft Business Intelligence – Business Excellence Call Recording and Transcription: Never Miss a Detail iOS 18.1 introduces an innovative Call Recording feature in Apple Intelligence, that allows you to record phone calls directly on your iPhone. These recordings are conveniently saved in the Notes app, where you can also take synchronized notes during the call. But that’s not all – the feature also includes call transcription, allowing you to read through the entire conversation later. This proves invaluable for business calls, interviews, or any situation where you need to refer back to specific details mentioned during the call. Reduce Interruptions Focus Mode: Stay Focused with Smart Notifications The Reduce Interruptions Focus Mode of Apple Intelligence, harnesses the power of AI to intelligently manage your notifications, ensuring that only essential alerts break through when you need to concentrate. What sets this mode apart is its ability to highlight important notifications even when active. This means you can stay focused on your tasks without fear of missing critical updates. Whether it’s a reminder from your calendar or a message from an important contact, the AI ensures you receive the notifications that matter most. Microsoft Power BI solution connect reports Business intelligence Summaries: Bypass Paywalls and Ads for Streamlined Reading The Summaries feature is a catalyst for avid readers and busy professionals alike. It provides concise text summarization for emails and web articles, allowing you to quickly grasp the key points without wading through lengthy content. But here’s the kicker – it can even bypass paywalls and ads in Safari, giving you a clean, ad-free reading experience. Whether you’re catching up on the latest news or skimming through a lengthy email thread, Summaries ensures you get the essential information without any distractions. Create a Memory: Effortless Personalized Movies With the Create a Memory feature, you can effortlessly generate stunning memory movies from your photos and videos. Simply describe the event or theme, and let the AI work its magic. It intelligently compiles relevant media from your library, creating a personalized movie that captures the essence of your memories. Whether it’s a vacation highlight reel, a family gathering montage, or a special occasion tribute, Create a Memory takes the hassle out of manual editing, allowing you to relive and share your precious moments with ease. Microsoft readies new free version of its Power BI business Type to Siri: Silent Interaction with Your Virtual Assistant The Type to Siri feature introduces a new way to interact with your virtual assistant. Instead of relying solely on voice commands, you can now communicate with Siri through typed queries. This proves incredibly useful in situations where speaking is not possible or appropriate, such as in a quiet library or during a meeting. Simply type your request, whether it’s setting a reminder, sending a message, or searching for information, and Siri will silently assist you without disrupting your surroundings. iOS 18.1’s hidden Apple Intelligence features mark a significant leap forward in mobile AI capabilities. By seamlessly integrating these advanced technologies into your daily interactions, Apple empowers you to: Streamline communication with Smart Reply and Call Recording Stay focused with intelligent notification management in Reduce Interruptions Focus Mode Enjoy ad-free, summarized content with Summaries Create personalized memory movies effortlessly with Create a Memory Interact silently with Siri using Type to Siri Power BI – Data Visualization Microsoft Power Platform These features showcase Apple’s commitment to pushing the boundaries of what your iPhone can do, making everyday tasks more efficient, enjoyable, and tailored to your needs. With iOS 18.1 beta 2, you can experience the future of Apple Intelligence, where your device becomes an even more intelligent and intuitive companion in your daily life. Source & Image Credit: iDB Filed Under: Apple, Apple iPhone, Top News Latest Geeky Gadgets Deals The best business intelligence (BI) software in Zapier Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy. How artificial intelligence private equity performed in the power industry in Q2 2024 In value terms, artificial intelligence-related deal activity decreased in Q2 2024 compared with the previous quarter and as compared to Q2 2023. Related deal volume remained flat in Q2 2024 versus the previous quarter. For further understanding of GlobalData’s Power Industry Mergers and Acquisitions Deals by Top Themes in Q2 2024 – Thematic Intelligence, buy the report here. This content was updated on 26 July 2024 From The gold standard of business intelligence. Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors. Be better informed GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article. GlobalData’s Deals Database tracks global deal activity, including mergers, acquisitions, capital raising, strategic alliances, and licensing agreements. Proprietary analysis is used to group deals into key thematic areas and granular sectors across the world’s largest industries. This analysis considers only announced and completed deals from the GlobalData financial deals database and excludes all terminated and rumoured …

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Oracle 23ai: The Database Just Got a Brain

Oracle 23ai: The Database Just Got a Brain The database world is undergoing a renaissance. Fueled by the rise of Large Language Models, hybrid cloud data management, and the explosion of data-driven applications, databases are once again at the forefront of technological innovation. Yet, this resurgence comes at a time of unprecedented challenges. The relentless onslaught of data and the ever-present threat of cyberattacks have stretched database professionals to their limits. Oracle, a behemoth in the database landscape, has responded with a daring gambit: Oracle Database 23ai. This isn’t merely an update; it’s a full-blown integration of AI and machine learning directly within the database engine. Introducing Oracle Business Intelligence Mobile – g Release “We’re injecting AI into the database engine to make it easier and, in some ways, more bulletproof,” declares Jenny Tsai, Oracle’s senior vice president for overall database product management. Database made simple Redefining simplicity through convergence Oracle 23ai, previously born as Oracle 23c, is not your grandfather’s relational database. It’s a converged database that seamlessly handles various data types — JSON documents, graph data, and spatial data — all under one data-laden roof. This unified approach streamlines data architecture, eliminating the need for a patchwork of disparate database engines and the integration headaches that follow it. Critical features like JSON Relational Duality empower developers to retrieve and store data using JSON effortlessly. At the same time, the Operational Property Graph enables them to build applications that navigate complex data relationships quickly. The result? Unprecedented choice and simplicity. Introducing Oracle Business Intelligence Mobile As Tsai points out, “The more different kinds of database engines you have to manage and try to integrate, the more complex your architecture is going to become.” Vectors now have one home GenAI has thrust vector databases into the limelight. These databases store and provide lightning-fast access to structured and unstructured data alongside vector embeddings, the numerical representations of data’s semantic meaning. They act as the external brain for many stateless LLMs, providing state, mitigating hallucinations, and underpinning Retrieval-Augmented Generation (RAG). Oracle 23ai introduces a native VECTOR data type optimized for storing and searching vector data, which is “very easy for anybody [with a data science background] to select statements and do similarity search.” Introducing Oracle Business Intelligence Enterprise Edition You can even import ONNX-compatible embedding models directly into the database, generating vector embeddings on the fly using SQL, allowing you to create vector embeddings directly within the Oracle Database using SQL. Powered and optimized by English One of the most transformative aspects of Oracle 23ai is its natural language interface. Gone are the days of wrestling with complex SQL queries. Now, you can ask questions in plain English and get intelligent answers, thanks to the infusion of GenAI into the database engine. But it’s not just about spitting out the right answers; it’s also about optimizing the entire database experience. AI-powered insights, automatic SQL tuning, and personalized recommendations for DBAs and developers remove the drudgery of manual tasks, freeing up time for strategic initiatives. Introducing Oracle Business Intelligence Enterprise Edition Tsai envisions a future where “tuning is no longer a job that the DBA has to do.” Instead, DBAs can focus on higher-value tasks like data stewardship and strategic planning. Pssst, there’s a firewall inside One of the most striking features of Oracle 23ai is the introduction of the In-Database SQL Firewall. SQL injection attacks have been a bane for DBAs for years, and Oracle’s response is to bring the fight directly to the data’s doorstep. Tsai explains, “To really protect the data in the database, it’s best to have something sitting right inside the database.” This isn’t just a theoretical advantage; it’s a practical one. The in-database firewall is trained on legitimate SQL statements, allowing it to identify and block malicious queries accurately. It inspects, evaluates, and blocks database connections and SQL statements without the associated performance overhead. This is not new. Oracle Database Firewall has been around for over a decade. But it was installed on the network to monitor SQL transactions. Now, it comes as part of the database itself (and its license), making Oracle 23ai secure once you spin it up. Oracle 23ai is also not resting. It monitors your database, automatically flagging unusual activity that might indicate performance issues or security threats. This proactive approach means DBAs can resolve potential problems before mushrooming into full-blown catastrophes. Embracing a thinking future Oracle 23ai isn’t just a database; it’s Oracle’s renewed vision for the future, where AI is seamlessly integrated into the core of data management and databases become pillars of innovation. The launch of Oracle 23ai also marks a profound shift in the database landscape. It’s a realization that the database world has changed, and it’s a resounding declaration that Oracle’s ambitions are to lead the charge into this new era. As Tsai confidently states, “It’s gonna get better.” The new slew of features makes sense for AI-minded customers. Although Tsai notes that the migration path will be smooth and tooled up (it also has a free version), customers will still vote with their wallets. But simplicity is a powerful argument and very persuasive for resource-hungry enterprises. The pressure is now on competitors to match Oracle’s innovation and simplicity. Whatever it is, the race to define the future intelligent database has begun. Game on, DBAs! Image credit: iStockphoto/AntonioSolano Oracle 23ai: The Database Just Got a Brain The database world is undergoing a renaissance. Fueled by the rise of Large Language Models, hybrid cloud data management, and the explosion of data-driven applications, databases are once again at the forefront of technological innovation. Yet, this resurgence comes at a time of unprecedented challenges. The relentless onslaught of data and the ever-present threat of cyberattacks have stretched database professionals to their limits. Oracle, a behemoth in the database landscape, has responded with a daring gambit: Oracle Database 23ai. This isn’t merely an update; it’s a full-blown integration of AI and machine learning directly within the database engine. “We’re injecting AI into …

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