Latest news with #AICopilot
Business Insider
2 days ago
- Business
- Business Insider
Meet altFINS AI Copilot: A Smart Crypto Trading Assistant
altFINS has launched a new feature to make crypto trading more efficient: AI Copilot. It's built to help traders quickly discover trade opportunities without needing to learn complex filters or technical indicators. 'Our AI Copilot makes trade idea discovery easier than ever, even for the newbie crypto traders. It leverages over 120 trade analytics, chart patterns and candlestick patterns across 5 time intervals, and surfaces market insights through simple prompt-based interactions. ', stated Richard Fetyko, CEO and Founder of altFINS. With AI Copilot, users can describe what they're looking for in plain language—like 'assets in a strong uptrend' or 'coins breaking through resistance' —and receive a custom market scan in return. No need to build scans manually. Users can type their request, and Copilot does the rest. It also supports multiple languages, not just English, making it even more accessible. Once users get the scan results, they can: Adjust them by rephrasing their request Save the scan for later use Set alerts Export the data Create a watchlist This initial release focuses on market scans using altFINS' award winning Crypto Screener. Over the coming months, AI Copilot will expand to include on-chain data like project revenue and TVL, as well as news, events, token unlocks, and whale wallet activity - all accessible through natural language. Users can explore the AI Copilot now. About altFINS altFINS is an analytics platform that calculates over 120 analytics and scans thousands of digital assets to help active traders find trading ideas based on off-chain and on-chain data. They take market noise and turn it into market insights.
Yahoo
12-06-2025
- Business
- Yahoo
3 No-Brainer Artificial Intelligence (AI) Stocks That Can Be Suitable Options for Any Investor
The stocks listed here have significant opportunities with AI. Their strong fundamentals also make them among the safer options for growth investors to consider. 10 stocks we like better than Nvidia › If you want to invest in artificial intelligence (AI), the good news is there are a lot of options for you to consider. But not all of them are safe. If you're a risk-averse investor or simply want exposure to AI without having to worry about your portfolio, there are some excellent stocks to consider that you can simply buy and forget about. Nvidia (NASDAQ: NVDA), Microsoft (NASDAQ: MSFT), and Amazon (NASDAQ: AMZN) are big names in tech, and they can also benefit significantly from AI. Here's why investing in these three behemoths may be a great way to keep your risk low while still potentially setting yourself up for some great long-run returns. Chipmaker Nvidia is simply unstoppable. I don't think it will double or triple in value anytime soon given that its valuation is already fairly high at more than $3 trillion. But I still see it as being a solid growth stock to hang on to for both the short and long terms. The biggest risk facing the business today is a slowdown in AI spending. If that happens, its growth will take a hit, and investors may opt for other growth stocks instead. But that's already been happening. As of the end of last week, Nvidia's stock was up just 6% since the start of the year, and that return would have been worse if not for a recent rally. Investors have already begun to pivot to other hot AI stocks. What I like about the company are its incredibly high profit margins. Even though it took a $4.5 billion hit in its most recent quarter (ended April 27) due to U.S. export restrictions to China, its net income still totaled $18.8 billion and was nearly 43% of its top line, $44.1 billion. Nvidia looks to be an unshakable company. And while its valuation may seem high, trading at an estimated 33 times its expected future earnings (based on analyst expectations), it's still a slam-dunk buy given its dominance in the AI chip market. An even safer stock than Nvidia may be Microsoft. What's great about this business is that it's less dependent on just the AI market than Nvidia. It doesn't make chips, but it does have its AI Copilot, which enhances the company's existing software, including its popular office products. Microsoft has been a big name in tech for decades, and the company is looking to cash in on this new growth opportunity. One catalyst that may still be waiting in the wings is growth in its computer business as Copilot-powered personal computers and devices are now available and could appeal to consumers who want stronger machines. But with the economy being less than ideal right now, it may take some time before demand takes off. For now, however, Microsoft is still doing well, reporting 13% revenue growth in its most recent quarter (which ended March 31), with its top line hitting $70.1 billion and profits rising by 18% to $25.8 billion. Another diverse tech company that can benefit significantly from AI is Amazon. Its growth opportunities are so plentiful that I believe it will become more valuable than the stocks listed here. Not only is it making its own chips, but it is also investing heavily into AI data centers, chatbots, and even robotaxis via its Zoox subsidiary. And on top of all this, Amazon still has the most popular online marketplace in the world, which can benefit from AI helping people find which items they want to buy, and helping sellers develop effective marketing strategies. The company's net sales through the first three months of the year totaled $155.7 billion, which was an increase of 10% when excluding the impact of foreign exchange. Its already robust cloud business, Amazon Web Services, which drives the bulk of the company's operating profit, should benefit significantly from more AI-powered growth as more businesses store data in the cloud. Last quarter, the segment generated $11.5 billion in operating profit, accounting for 63% of the company's total. More growth in that area of its operations should result in even better profits in the future. Amazon's business is incredibly strong, and with its operations potentially getting even more diversified in the future, this is one of the safest AI stocks to own. Before you buy stock in Nvidia, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and Nvidia 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 $649,102!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $882,344!* Now, it's worth noting Stock Advisor's total average return is 996% — a market-crushing outperformance compared to 174% for the S&P 500. Don't miss out on the latest top 10 list, available when you join . See the 10 stocks » *Stock Advisor returns as of June 9, 2025 John Mackey, former CEO of Whole Foods Market, an Amazon subsidiary, is a member of The Motley Fool's board of directors. David Jagielski has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Amazon, Microsoft, and Nvidia. The Motley Fool recommends the following options: long January 2026 $395 calls on Microsoft and short January 2026 $405 calls on Microsoft. The Motley Fool has a disclosure policy. 3 No-Brainer Artificial Intelligence (AI) Stocks That Can Be Suitable Options for Any Investor 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
Atlantic
03-06-2025
- Business
- Atlantic
One App to Rule Them All
If Google has its way, there will be no search bars, no search terms, no searching (at least not by humans). The very tool that has defined the company—and perhaps the entire internet—for nearly three decades could soon be overtaken by a chatbot. Last month, at its annual software conference, Google launched 'AI Mode,' the most drastic overhaul to its search engine in the company's history. The feature is different from the AI summaries that already show up in Google's search results, which appear above the usual list of links to outside websites. Instead, AI Mode functionally replaces Google Search with something akin to ChatGPT. You ask a question and the AI spits out an answer. Instead of sifting through a list of blue links, you can just ask a follow-up. Google has begun rolling out AI Mode to users in the U.S. as a tab below the search bar (before 'Images,' 'Shopping,' and the like). The company said it will soon introduce a number of more advanced, experimental capabilities to AI Mode, at which point the feature could be able to write a research report in minutes, 'see' through your smartphone's camera to assist with physical tasks such as a DIY crafts project, help book restaurant reservations, make payments. Whether AI Mode can become as advanced and as seamless as Google promises remains far from certain, but the firm appears to be aiming for something like an everything app: a single tool that will be able to do just about everything a person could possibly want to do online. Seemingly every major tech company is after the same goal. OpenAI markets ChatGPT, for instance, as able to write code and summarize documents, help shop, produce graphics, and, naturally, search the web. Elon Musk is notoriously obsessed with the idea of turning X into an everything app. Meta says you can use its AI 'for everything you need'; Amazon calls its new, generative AI–powered Alexa+ 'an assistant available to help any time you want'; Microsoft bills its AI Copilot as a companion 'for all you do'; and Apple has marketed Apple Intelligence and a revamped Siri as tools that will revolutionize how people use their iPhones (which encompass, for many users, everything). Even Airbnb, once focused simply on vacation rentals, is redesigning itself as a place where 'you can sell and do almost anything,' as its CEO, Brian Chesky, recently said. In a sense, everything apps are the logical conclusion of Silicon Valley's race to build artificial 'general' intelligence, or AGI. A bot smart enough to do anything obviously would be used to power a product that can, in effect, do anything. But such apps would also represent the culmination of the tech industry's aim to entrench its products in daily lives. Already, Google has features for shopping, navigation, data storage, work software, payment, travel—plus an array of smartphones, tablets, smart-home gadgets, and more. Apple has a similarly all-encompassing suite of offerings, and Meta's three major apps (Facebook, Instagram, and WhatsApp) each have billions of users. Perhaps the only thing more powerful than these sprawling tech ecosystems is boiling them all down to a single product. That these tech companies can even realistically have such colossal ambitions to build everything apps is a result of their existing dominance. The industry has spent years collecting information about our relationships, work, hobbies, and interests—all of which is becoming grist for powerful AI tools. A key feature of these everything apps is that they promise to be individually tailored, drawing on extensive personal data to provide, in theory, a more seamless experience. Your past search history, and eventually your emails, can inform AI Mode's responses: When I typed line up into AI Mode, I got the 'line up' for the day's New York Mets game (the Mets are my favorite baseball team). When I typed the same phrase into traditional Google Search, I got a definition. In other words, the rise of AI-powered everything apps is a version of the bargain that tech companies have proposed in the past with social media and other tools: our services for your data. Meta's AI assistant can draw on information from users' Facebook and Instagram accounts. Apple describes its AI as a 'personal intelligence' able to glean from texts, emails, and notes on your device. And ChatGPT has a new 'memory' feature that allows the chatbot to reference all previous conversations. If the technology goes as planned, it leads to a future in which Google, or any other Big Tech company, knows you are moving from Texas to Chicago and, of its own accord, offers to order the winter jacket you don't own to be delivered to your new apartment, already selected from your favorite brand, in your favorite color. Or it could, after reading emails musing about an Italian vacation, suggest an in-budget itinerary for Venice that best fits your preferences. There is, of course, no shortage of reasons to think that AI models will not be capable and reliable enough to power a true everything app. The Mets lineup that Google automatically generated for me wasn't entirely accurate. Chatbots still invent information and mess up basic math; concerns over AI's environmental harms and alleged infringement of intellectual-property rights could substantially slow the technology's development. Only a year ago, Google released AI Overviews, a search feature that told users to eat rocks and use glue to stick cheese to pizza. On the same day that Google released AI Mode, it also introduced an experimental AI shopping tool that can be easily used to make erotic images of teenagers, as I reported with my colleague Lila Shroff. (When we shared our reporting with the company, Google emphasized the protections it has in place and told us it would 'continue to improve the experience.') Maybe AI Mode will order something two sizes too large and ship to the wrong address, or maybe it'll serve you recommendations for Venice Beach. Despite these embarrassments, Google and its major AI competitors show no signs of slowing down. The promised convenience of everything apps is, after all, alluring: The more products of any one company you use, and the better integrated those products are, the more personalized and universal its everything app can be. Google even has a second contender in the race—its Gemini model, which, at the same conference, the company said will become a 'universal AI assistant.' Whether through Search or Gemini the company seems eager to integrate as many of its products and as much of its user data as possible. On the surface, AI and the everything app seem set to dramatically change how people interact with technology—consolidating and streamlining search, social media, officeware, and more into a chatbot. But a bunch of everything apps vying for customers feels less like a race for innovation and more like empires warring over territory. Tech companies are running the same data-hungry playbook with their everything apps as they did in the markets that made them so dominant in the first place. Even OpenAI, which has evolved from a little-known nonprofit to a Silicon Valley behemoth, appears so eager to accumulate user data that it reportedly plans to launch a social-media network. The technology of the future looks awfully reliant on that of the past.
Yahoo
22-04-2025
- Business
- Yahoo
ChatGPT Chief Calls Search Crucial for OpenAI in Google Trial
(Bloomberg) -- OpenAI's goals of building a 'super assistant' app and reaching general artificial intelligence won't succeed without search technology but Google has declined to work with the startup, the head of its ChatGPT product testified Tuesday in the Google antitrust trial. Trump Gives New York 'One Last Chance' to End Congestion Fee DOGE Visits National Gallery of Art to Discuss Museum's Legal Status Trump Administration Takes Over New York Penn Station Revamp The Racial Wealth Gap Is Not Just About Money OpenAI's Nick Turley said the company never intended to simply create a chatbot like its popular ChatGPT, and instead wanted to deliver a 'super assistant' that can help users complete tasks. But the large language models that underlie the company's chatbot have inherent limitations because of a lack of recent information and their tendency to hallucinate, or invent false answers to questions when they don't know the answer. That's where search capability becomes essential, he said. 'Search technology is a necessary component,' Turley testified in Washington federal court as part of the Justice Department's antitrust case against Alphabet Inc.'s Google. 'You can't have a super assistant that doesn't know the current facts or makes things up.' OpenAI's ChatGPT, launched to the public in November 2022, was initially viewed internally as a research project. The company didn't expect the app would become one of the most viral software products of all time, ushering in a new wave of AI investment and consumer frenzy. Since launching ChatGPT, OpenAI has started bringing more assistant-like functionality into its products, such as the ability to search the web, write code, and do complex research, as well as a tool called 'Operator,' that can do tasks such as book a restaurant reservation on a user's behalf. 'We are not trying to recreate the type of experience you find on Google with 10 blue links and ads,' he said. Turley was called by the Justice Department to testify as part of a three-week trial aimed at determining what changes Google must make to its business after a federal judge found last year that the company monopolized the search market. Judge Amit Mehta is set to decide by August what business practices Google must modify. Microsoft Corp. has poured more than $13 billion into a partnership with OpenAI, tapping the startup's generative-AI technology to enhance its Bing search service, Edge internet browser and, most notably, integrate an AI Copilot service into Windows. In turn, the startup uses Microsoft's Azure cloud servers and has access to Bing's search information. During his testimony, Turley never directly talked about Microsoft, instead referring to a relationship with 'Provider No. 1.' Turley said that OpenAI had 'significant quality issues' with the search information from that provider. 'It became clear over time that it was not viable to depend on' another company in the long run, he said. 'It was at best a near-term solution.' In early 2024, OpenAI began to build out its own search index, he said. Turley set a goal of having ChatGPT rely on OpenAI's own search index 80% of the time by the end of this year. That was overly ambitious, he acknowledged in his testimony, and he estimated that it will take several more years. Part of the difficulty is websites that limit OpenAI's web crawler, he said. 'Google can outspend us or offer more traffic to these partners than we can,' Turley said. 'They have way more queries every single day.' In August, OpenAI reached out to Google about whether they could reach an agreement to gain access to the search giant's index, Turley said. Google provides some access to Meta Platforms Inc. for its AI products, Turley said, a partnership Meta Chief Executive Officer Mark Zuckerberg has spoken about publicly. Google never responded to OpenAI in writing, he said, but declined in verbal conversations. The testimony is significant because Turley said OpenAI sought to work with Google's search engine but was turned down. The Justice Department's proposed remedy for Google's monopolization of the market would require Google to share its search index with rivals to help them improve their products after the search giant's years of monopolization. Turley said that having that access would accelerate OpenAI's plans. 'Having access to the data that underlies Google's index, the content or signals, would accelerate the development of our own index,' he said. Why US Men Think College Isn't Worth It Anymore As More Women Lift Weights, Gyms Might Never Be the Same Eight Charts Show Men Are Falling Behind, From Classrooms to Careers The Guy Who Connected Donald Trump to the Manosphere How Mar-a-Lago Memberships Explain Trump's Tariff Obsession ©2025 Bloomberg L.P. Sign in to access your portfolio
Yahoo
08-04-2025
- Business
- Yahoo
Celonis and Smurfit Westrock Unlock Significant Value by Optimizing Inventory Management with Process Intelligence and AI
NEW YORK & MUNICH, April 08, 2025--(BUSINESS WIRE)--Celonis, the global leader in Process Mining and Process Intelligence, today shared the results of an innovative AI-driven solution that is optimizing Smurfit Westrock's inventory management, unlocking significant value. Enabled by the Process Intelligence Graph and built on the Celonis Process Intelligence Platform, the AI Copilot is a prime example of how Process Intelligence empowers Artificial Intelligence to deliver tangible business impact. Building on the impressive achievements, Smurfit Westrock is expanding its collaboration with Celonis to optimize additional core business processes across its global operations. Unlocking AI's Full Potential Through Process Intelligence With operations spanning the globe, an inventory with hundreds of thousands of spare part numbers, and a series of recent acquisitions, Smurfit Westrock faced challenges in mastering data inconsistencies, such as duplicate materials, language inconsistencies, and synonym-based descriptions (e.g., "lubricant" vs. "oil"). These issues resulted in unnecessary inventory buildup, procurement inefficiencies (both upstream and downstream), and higher costs. Using the Celonis Process Intelligence Graph and large language model (LLM)-based analysis, Smurfit Westrock was able to harmonize its master data, creating a foundation for AI-driven inventory management. The impact was immediate and measurable. Within just two months, Smurfit Westrock identified that many purchase orders were raised for spare parts that were already in stock. Additionally, a significant amount of spare parts had remained unused for over eight years. By leveraging the Celonis Process Intelligence platform, the company is now proactively cancelling unnecessary purchases for excess stock and optimizing stock utilization. The data harmonization layer provided by Celonis also powers an AI Copilot that optimizes spare parts availability for plant engineers. The Copilot identifies the right materials based on real-time inventory, plant location, and purchasing patterns. Equipped with a natural language interface, the Copilot enables users to query inventory across global facilities in their own words—whether by technical descriptions or common industry terms. This eliminates the need for exact part numbers and simplifies the user experience. "In August 2024, when one of our European plants had a breakdown, the supplier quoted us a significant delay for the supply of a replacement part," said Brian Dodson, Business Process Improvement Manager and Celonis Center of Excellence lead at Smurfit Westrock. "With Celonis, we were able to find a plant in the region with the needed part and schedule a transfer order in under a day. This enables us to unlock new levels of efficiency, deliver enhanced value to our maintenance teams, and drive sustainability." "The ability to harness AI effectively starts with understanding and optimizing the processes that power a business," said Rupal Karia, Country Leader UKI & MEA at Celonis. "With Celonis, Smurfit Westrock has been able to tackle challenges like duplicate spare parts, unnecessary procurement and inventory inefficiencies, unlocking tremendous value along the way. We are proud to deepen our partnership and continue helping Smurfit Westrock leverage Process Intelligence and AI to drive measurable impact across its global operations." Celonis provides Smurfit Westrock with a strategic roadmap for AI implementation, ensuring that automation initiatives are applied where they can deliver the greatest value. By validating AI opportunities based on process efficiency and human intervention requirements, Smurfit Westrock is maximizing the impact of AI on its operations. Smurfit Westrock aims to expand its use of Celonis to optimize procurement, maintenance, and production processes across Europe, Latin America, and North America. Learn more about how the partnership between Smurfit Westrock and Celonis went from small beginnings in the company's European Finance department to being used across the business by 1,000+ users realizing meaningful value each year. About Celonis Celonis makes processes work for people, companies, and the planet. The Celonis Process Intelligence Platform, powered by process mining and AI, combines process data and business context to create a living digital twin of the enterprise, connecting people to processes, teams to each other, and AI to the business. Thousands of companies worldwide, including half of the top 200 companies on the Forbes Global 2000, use Celonis to understand their business, optimize operations and drive significant value across the top, bottom, and green lines. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide. © 2025 Celonis SE. All rights reserved. Celonis and the Celonis "droplet" logo are trademarks or registered trademarks of Celonis SE in Germany and other jurisdictions. All other product and company names are trademarks or registered trademarks of their respective owners. View source version on Contacts Media Contact press@
