Latest news with #Chronos
Business Wire
12-06-2025
- Business
- Business Wire
DATA POEM Launches POEM365, The World's First Large Causal AI Model (LCM)
NEW YORK--(BUSINESS WIRE)-- DATA POEM, an AI-first company that pioneered the field of Horizontal Causal Intelligence, today announced the official launch of POEM365. This revolutionary product marks the debut of the world's first and only Large Causal (AI) Model (LCM), designed to transform how enterprise organizations with over $500M in revenue across automotive, CPG, consumer durables, retail, QSR, e-commerce, and other sectors leverage data for mission-critical decision making. POEM365 launches with a robust foundation built on over 250+ billion integrated transaction records spanning 15,000 brands and $5 trillion in spend. Rigorously tested across varied datasets, DATA POEM's large causal architecture demonstrates industry-leading accuracy, exceeding the performance of major tech platforms. Notably, DATA POEM established new performance benchmarks, surpassing the records set by the top contenders in the M5 Forecasting Competition, which had remained unbeaten since the competition took place in 2020. While competitors deployed over 200 specialized models, DATA POEM attained its results with a single, unified model. Its causal architecture delivered breakthrough performance with significantly lower error rates, surpassing the 0.52 accuracy benchmark that major tech companies have struggled to exceed. The large causal architecture also beats the benchmark datasets of all large AI time series models, including Times FM by Google, Chronos by Amazon, Moirai by Salesforce, TTM by IBM and the latest benchmark leader Toto by DATA DOG, across all time horizons and accuracy metrics. POEM365: Unlocking True Enterprise Intelligence POEM365 is trained on a broad, multivariate data foundation using DATA POEM's proprietary causal architecture, 'Fount'. This breakthrough technology represents a paradigm shift from fragmented analytics to unified horizontal intelligence across deeply-siloed functions, building an enterprise consciousness that allows enterprises to think and act as one. This history-making technology uniquely enables organizations to gain a unified understanding of their operations, achieving Enterprise Consciousness: From What to Why and How: POEM365 doesn't just describe what happened—it reveals why it happened and prescribes how to respond. From Correlation to Causation: While traditional analytics identify correlations, POEM365 uncovers true causal relationships, leading to more impactful strategies. From Silos to Horizontal Integration: Unlike point solutions and AI Enablers, POEM365 spans across all enterprise functions, creating a unified intelligence layer. From Insight to Action: POEM365 bridges the gap between understanding and implementation, providing prescriptive and precise intervention recommendations. Total Enterprise Orchestration: The POEM365 model architecture orchestrates planning and optimization across every organizational function and all three critical time horizons—strategic long-term (18-36 months), annual, and monthly agile cycles. "DATA POEM's proprietary causal architecture ensures the 365 platform can not only process but truly understand the data at scale, allowing for mission-critical business decisions to be made with unprecedented confidence," said Bharath Gaddam, CEO and founder of DATA POEM. "This represents a monumental leap forward in the field of artificial intelligence which has mostly relied on surface-level statistical correlations. This architecture applies transfer learning to understand non-linear data patterns and relationships, synergies and halo effects with near real-time agility." Core Differentiators & Advanced Capabilities Intuitive Intelligence: POEM365 makes complex horizontal data analysis easily accessible to a wide range of stakeholders through an intuitive natural language interface and a specialized agent swarm, the Causal Poets. These include: Planning Intelligence Agent: Specializes in forecasting, scenario modeling, and planning. Optimization Intelligence Agent: Focuses on finding optimal solutions across complex decision spaces. Research Analyst Agent: Conducts deep investigations into complex business problems and works as an insights provider or research analyst. Enterprise Grade Security: Built for enterprise environments, POEM365 offers private cloud environments of enterprises robust security features such as hardware-level encryption, zero data exfiltration, and compliance with SOC 2 II. Both the organizations' data and intelligence stays within their private cloud. Industry-Specific Large Models: Unlike generic AI, POEM365 deploys industry-specific models trained on sector-unique data patterns. This specialization enables solutions like POEM365^Auto, POEM365^CPG, POEM365^Retail, POEM365^Durables, POEM365^Hospitality, POEM365^Ecomm, POEM365^Electronics, POEM365^Fashion, and POEM365^QSR to deliver unmatched precision. The specialized vertical solutions merge seamlessly with horizontal causal intelligence, delivering both industry depth and enterprise-wide understanding in a single, unified platform. POEM365 and its coordinated team of special AI agents, the Causal Poets, empower users to easily engage with their data, receiving real-time insights and course correction far beyond what traditional AI-enabled platforms provide. Customizable Deployment with a Suite of Solutions: Studio, Verse, and Rhyme Studio: The most comprehensive enterprise suite delivers a fully customizable solution that lets users tailor the POEM365 model with granular data to generate more precise intelligence. Verse: Enables users to deploy targeted POEM agents as specialized business function modules, providing specialized capabilities exactly when and where they are needed. Rhyme: Provides pre-configured POET essentials as a foundational package, offering standardized planning and optimization capabilities with core business intelligence for organizations getting started with enterprise-wide planning. Includes research agent insights for automated data analysis and basic predictive recommendations. Since 2019, DATA POEM has been revolutionizing causal intelligence for top brands, establishing itself as a leader in pushing AI beyond mere correlation to achieve true causation. The launch of POEM365 represents a pivotal first step in DATA POEM's mission, with its vision extending far beyond current enterprise applications. The company is continuously developing cutting-edge causal models and expanding its proprietary architecture, 'Fount', with future innovations set to span across many industries and empower more profound transformations, consistently pushing AI beyond correlation to true causation. For more information about DATA POEM and POEM365, please visit DATA POEM is an AI-first company that pioneered the field of Horizontal Causal Intelligence. Leveraging neural networks since its inception, DATA POEM's mission is to empower humankind by answering the fundamental "Why" of the world through cutting-edge technology. With POEM365, DATA POEM is revolutionizing enterprise decision-making by moving AI beyond correlation to true causation, delivering unprecedented accuracy and unified intelligence across deeply-siloed functions.
Geeky Gadgets
27-05-2025
- Business
- Geeky Gadgets
Forecast Anything with Transformers with Chronos or PatchTST
What if you could predict the future—not just in abstract terms, but with actionable precision? From forecasting energy demand to anticipating retail trends, the ability to make accurate predictions has become a cornerstone of modern decision-making. Enter transformer-based models, a new advancement originally designed for natural language processing but now transforming time-series forecasting. Among these, Chronos and PatchTST have emerged as standout tools, offering unparalleled accuracy and adaptability for even the most complex datasets. Whether you're grappling with noisy healthcare data or modeling long-term climate trends, these models promise to redefine what's possible in predictive analytics. In this exploration, Trelis Research explains how transformers like Chronos and PatchTST are reshaping the forecasting landscape. We'll delve into their unique architectures, such as self-attention mechanisms and data segmentation into 'patches,' that allow them to capture intricate patterns and long-range dependencies with ease. Along the way, you'll discover their real-world applications across industries like finance, energy, and healthcare, and learn why their scalability and precision make them indispensable tools for tackling today's forecasting challenges. By the end, you might just see forecasting not as a daunting task, but as an opportunity to unlock new possibilities. Transformer Models for Forecasting What Makes Transformer-Based Models Ideal for Forecasting? Originally developed for natural language processing, transformers have demonstrated remarkable versatility in time-series forecasting. Unlike traditional statistical methods or recurrent neural networks, transformers process entire sequences simultaneously, allowing them to capture long-range dependencies in data. This unique capability allows them to handle complex datasets with greater speed and accuracy. From financial metrics to environmental data, transformers excel at identifying patterns and trends, making them a preferred choice for modern forecasting tasks. Their adaptability is another key strength. Transformers can be fine-tuned to suit various datasets and forecasting objectives, making sure optimal performance across industries. This flexibility, combined with their ability to process high-dimensional data efficiently, positions transformers as a fantastic force in predictive analytics. Chronos: A Flexible and Scalable Forecasting Model Chronos is a transformer-based model specifically designed to simplify forecasting across multiple domains. Its architecture uses self-attention mechanisms to detect intricate patterns and trends in time-series data. This makes Chronos particularly effective in scenarios where understanding complex temporal relationships is critical, such as stock market analysis, supply chain optimization, or energy demand forecasting. One of Chronos's standout features is its scalability. By incorporating advanced feature engineering and efficient training processes, Chronos maintains high performance even when working with large and complex datasets. This scalability ensures that the model remains reliable and accurate, regardless of the size or complexity of the forecasting task. Its ability to adapt to various industries and applications makes it a versatile tool for organizations aiming to enhance their predictive capabilities. Time-Series Forecasting with Chronos and PatchTST: A Complete Guide Watch this video on YouTube. Below are more guides on transformers from our extensive range of articles. PatchTST: A Targeted Approach to Time-Series Data PatchTST adopts a specialized approach to time-series forecasting by dividing data into smaller segments, or 'patches.' This segmentation enables the model to focus on localized patterns within the data before synthesizing broader insights. This method is particularly advantageous when dealing with irregular or noisy datasets, such as those encountered in healthcare or environmental monitoring. The modular design of PatchTST allows for extensive customization, allowing users to tailor the model to specific forecasting tasks. For example, in healthcare, PatchTST can be fine-tuned to monitor patient data and predict health outcomes, even when the data is highly variable. This targeted approach ensures that the model delivers precise and actionable insights, making it a valuable tool for industries that rely on accurate and timely predictions. Real-World Applications of Transformer-Based Forecasting The adaptability and precision of Chronos and PatchTST make them highly valuable across a variety of industries. Key applications include: Energy Management: Predicting electricity demand to optimize grid operations, reduce costs, and improve sustainability. Predicting electricity demand to optimize grid operations, reduce costs, and improve sustainability. Retail: Forecasting sales trends to enhance inventory planning, minimize waste, and improve customer satisfaction. Forecasting sales trends to enhance inventory planning, minimize waste, and improve customer satisfaction. Finance: Analyzing market trends to guide investment strategies, manage risks, and identify opportunities. Analyzing market trends to guide investment strategies, manage risks, and identify opportunities. Healthcare: Monitoring patient data to predict health outcomes, streamline care delivery, and improve resource allocation. Monitoring patient data to predict health outcomes, streamline care delivery, and improve resource allocation. Climate Science: Modeling weather patterns to enhance disaster preparedness, optimize resource management, and support environmental research. These applications highlight the versatility of transformer-based models, demonstrating their ability to address diverse forecasting challenges with precision and efficiency. Why Choose Transformer-Based Models? Transformer-based models offer several distinct advantages over traditional forecasting methods, including: Scalability: Capable of processing large datasets with high dimensionality, making them suitable for complex forecasting tasks. Capable of processing large datasets with high dimensionality, making them suitable for complex forecasting tasks. Accuracy: Superior performance due to their ability to capture long-term dependencies and intricate patterns in data. Superior performance due to their ability to capture long-term dependencies and intricate patterns in data. Flexibility: Adaptable to a wide range of industries and forecasting objectives, making sure relevance across diverse applications. Adaptable to a wide range of industries and forecasting objectives, making sure relevance across diverse applications. Efficiency: Faster training and inference times compared to recurrent models, allowing quicker deployment and results. These advantages make transformers an ideal choice for organizations seeking to enhance their forecasting capabilities and make data-driven decisions with confidence. Industry Adoption and Future Potential Industries worldwide are increasingly adopting transformer-based models like Chronos and PatchTST to address complex forecasting challenges. Examples of their application include: Utility Companies: Using these models to predict energy consumption patterns, optimize grid efficiency, and reduce operational costs. Using these models to predict energy consumption patterns, optimize grid efficiency, and reduce operational costs. Retailers: Using forecasting tools to streamline supply chains, reduce inventory costs, and improve customer satisfaction. Using forecasting tools to streamline supply chains, reduce inventory costs, and improve customer satisfaction. Healthcare Providers: Enhancing patient monitoring and predictive analytics to improve care delivery and resource management. Enhancing patient monitoring and predictive analytics to improve care delivery and resource management. Financial Institutions: Employing these models for market analysis, risk management, and investment strategy development. As transformer-based technologies continue to evolve, their applications are expected to expand further, driving innovation and improving decision-making across sectors. By addressing increasingly complex forecasting needs, these models are poised to play a pivotal role in shaping the future of predictive analytics. Transforming Forecasting with Chronos and PatchTST Chronos and PatchTST exemplify the potential of transformer-based forecasting models to transform predictive analytics. By combining advanced architectures with practical applications, these models empower organizations to forecast with precision, efficiency, and confidence. Whether you're managing resources, optimizing operations, or planning for the future, transformer-based solutions provide a reliable foundation for informed decision-making. Their ability to adapt to diverse industries and challenges ensures that they remain at the forefront of forecasting innovation, allowing you to navigate complex prediction tasks with ease. Media Credit: Trelis Research Filed Under: AI, Guides Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. 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Business Insider
23-05-2025
- Entertainment
- Business Insider
I spent a day at Universal's new Orlando theme park. These 6 things impressed me most — and 2 left me disappointed.
I visited Universal's newest theme park, Epic Universe, which opened on Thursday. The unique meet and greets and creative food and drink options really blew me away. However, I wish the park had more shade and didn't rely as much on mobile ordering for restaurants. Epic Universe, the newest major theme park in Central Florida in years, opened on Thursday. The Universal park consists of five themed worlds: The Wizarding World of Harry Potter - Ministry of Magic, Super Nintendo World, How to Train Your Dragon - Isle of Berk, Dark Universe, and Celestial Park. After a full day in the park, I was blown away by how immersive it felt. I rode every attraction, tasted some of the many food and drink offerings, and met iconic characters. For those wondering if a visit is worth it, I've put together a list of things that impressed me most at Epic Universe — plus two of my biggest disappointments so far. I love how open and immersive the main corridor of Epic Universe is. After walking under the Chronos, the park's main entry structure, you're inside Celestial Park. This themed world is packed with star imagery, plus tons of greenery and flowers. I loved how wide the sidewalks are and how open this area feels. The floral landscaping and water features really do make it feel like a park or garden. All of this gave me a great first impression of Epic Universe as a whole. The park's meet and greets have some incredible characters. I love meeting characters from my favorite movies and franchises, and all around the park, there are opportunities to meet icons like Princess Peach and the Invisible Man. The one character you must see is Toothless, a dragon from the How to Train Your Dragon franchise. The interactive animatronic is impressively cute and lifelike. I liked how interactive the new Harry Potter-themed world is. There are several Wizarding Worlds of Harry Potter throughout the world in places like California and Japan. Even so, the newest Orlando addition focused on the Ministry of Magic is exceptional. There are so many small details and interactive areas inside the world that you could really spend all day enjoying it. Even the queue for the ride Harry Potter and the Battle at the Ministry was breathtaking. Between the giant wizard banners, intricate statues, and lighting design, I felt like I was inside the movies. I also appreciated that this land had many spots where guests can use special wands to interact with "magical" objects and buildings. Dark Universe ended up being a hit for me, mostly because it's packed with entertainment. I typically don't like spooky, scary, or intense things, so I was surprised I really enjoyed Dark Universe. It's themed after famous monsters and creatures, from Dracula to Wolf Man. It has two rides, and I found myself especially impressed by how much walk-around entertainment was packed into this land. As I walked through, I passed tons of storytellers and characters ready to interact with guests and take photos. I especially loved meeting Gregor, a funny monster hunter who hangs around at the land's Burning Blade Tavern. I appreciated how easy it was to get to the park from my room at Universal Helios Grand Hotel. I stayed at the newest Universal Orlando hotel, Universal Helios Grand Hotel, during my visit. It opened earlier this year and has its own entrance into Epic Universe. Staying here meant it was incredibly easy for me to walk to the park. I was able to get from my room to Epic Universe in under five minutes. For me, it's always a win when theme parks have hotels just steps away. The inventive and fun food and drink options impressed me. I've been to many theme parks over the years, but I still found myself impressed by the creative and delicious culinary options at Epic Universe. My favorite sweet treat ended up being the DK Crush Float from Super Nintendo World. It's pineapple-and-banana-swirl soft serve in a waffle bowl topped with caramel popcorn and chocolate pieces that's loaded into a cup filled with pineapple soda. However, I wish the park had more shaded areas. As I walked around Epic Universe, I noticed it didn't have many shaded spots. This felt especially unbearable when the day was at its hottest in the afternoon. Light-colored paths throughout the park seemed to reflect the Orlando sun. Although there are some air-conditioned restaurants and attractions in Epic Universe, I could see this sun exposure being especially tough for young guests or those who struggle with the heat to navigate. I also didn't enjoy the fact that nearly every restaurant relies on mobile ordering. Most quick-service restaurants at Epic Universe rely on mobile ordering instead of having guests wait in line. Although this seems like it could be time-saving and efficient, I struggled to use this system during my visit. My phone wasn't able to get a strong enough signal for my order to go through or for me to input my table number in many spots throughout the park.
Axios
15-04-2025
- Entertainment
- Axios
A second portal is coming to Philadelphia
Can Philadelphia handle two portals? We're about to find out. Driving the news: A massive, 30-foot tall portal is being set up at the base of the Art Museum's Rocky Steps from May 16-18. The so-called Chronos is a traveling ad for the opening of Universal Orlando Resort's immersive theme park — Universal Epic Universe. How it works: The portal, a replica of the icon for Universal's fourth theme park, will put on night shows with lighting and music, per a company news release. You can also watch "action-packed sequences" highlighting the new park. It'll be open from 10am-8pm. ✈️ 1 cool thing: Visitors can enter a sweepstakes for a trip to Universal Orland Resort and the new theme park. 🤞 The bottom line: Don't blow this, Philly.
WIRED
13-04-2025
- WIRED
GHD's Duet Blowdry Packs Power and Fantastic Styling—for a Price
GHD says the Duet Blowdry checks the surface temperature of the device 400 times per second to make sure it's maintaining the heat throughout your use—even more than the 250 times a second in GHD's similarly equipped Chronos Max hair straightener (7/10, WIRED Review). Also similar to the Chronos straightener, which has just one heat setting of 365 degrees Fahrenheit, the Blowdry only heats to a single heat level: 248 degrees Fahrenheit, which GHD says is an optimum low styling temperature. While 248 degrees is low compared to other heat tools like straighteners or curling irons, it is on the hotter end for blow-dry brushes, which often offer heat levels closer to 200 (though the highest level on some, like the Revlon, reaches up to 240 degrees). The Duet Blowdry also promises virtually no heat damage. I think this will hugely depend on how delicate your hair is and if you're using a heat protectant as you should be, since you are using a heat tool on your hair and wet hair is especially delicate. While GHD describes this as a wet-to-dry brush, the brand says you can't really create a shape with your hair until it's 80 percent dry, but you can still use the Duet Blowdry to get your hair to that 80 percent point before using it to truly style your hair. Personally, I just wait until my hair is somewhat dry to even start using it, but you might want more drying assistance if you have longer hair. Lovely Locks Photograph: Nena Farrell Whether or not the heat damage claims are true, the blowout itself is fantastic. I'm consistently impressed with how much volume I get without feeling like I'm in a wind tunnel, and I have fewer flyaways than I usually would. My blowout lasts longer, too, looking better than usual on day two or three thanks to the low-frizz results without losing volume or getting oily like my hair does after a serious hair-straightener sesh. Is it worth the splurge? Personally, as someone who uses one of these devices after every hair wash day, it would be worth it for me. It's the best result I've gotten by far. While it is twice the price of a Drybar or T3 blow-dry brush, the less frizz and smoother results that last for days are something I'd splurge on for my everyday tool. However, it is a bummer that for the price, you're only getting a single tool. It makes sense considering the design and technology packed into it that's specifically made for a blowout brush, and thus why it's such a good blowout brush, but other similarly priced options like the Shark FlexStyle (9/10, WIRED Recommends) or FlexFusion have a similar price point and come with multiple attachments. Still, my editor finds she still needs to follow up with a proper flat iron after a blowout with her FlexFusion, while I certainly don't need one after a morning with the Duet Blowdry.
