Alternatives to Data Poem

Decisimo is a powerful platform that allows you to make business decisions more efficiently. It allows you to easily create and update decision tables and rule sets, and tailor them to your needs. The platform has a drag-and drop builder that allows you to design decision flows. These can include components such as models, rule sets and data sources. Decisimo allows you to deploy decision flow to regional endpoints to speed up responses and comply with data protection regulations. You can improve your decision flow by incorporating AI or machine learning models, as well as connecting to external data sources via REST APIs. Decisimo can be used for batch processing tasks like client segmentation and prescoring. It also supports data retrieval from FTP or Google Cloud Storage. The platform offers robust unit testing capabilities that ensure reliable and accurate decision-making.

Domo puts data to work for everyone so they can multiply their impact on the business. Underpinned by a secure data foundation, our cloud-native data experience platform makes data visible and actionable with user-friendly dashboards and apps. Domo helps companies optimize critical business processes at scale and in record time to spark bold curiosity that powers exponential business results.

SAP Signavio transforms how enterprises manage change by making business processes visible, measurable, and continuously improvable. It offers a comprehensive process transformation suite that unites process mining, modeling, collaboration, and journey analytics to bridge strategy with execution. With AI-powered insights, organizations can uncover inefficiencies, predict outcomes, and make faster, data-driven improvements. Its Plug and Gain methodology provides a proven, data-backed foundation for accelerating SAP ERP transformations and reducing project risks. The platform integrates seamlessly with SAP LeanIX, giving companies a unified ecosystem that connects enterprise architecture with process design and performance management. Industry-specific accelerators for procurement, finance, and operations help teams optimize workflows, strengthen compliance, and boost productivity. Companies such as Yamaha, KWS, and Fujitsu rely on SAP Signavio to modernize operations while maintaining agility and resilience. With continuous innovation and AI-driven analytics, SAP Signavio enables every organization to build a culture of process excellence and transformation success.

The Digital Enterprise Suite is more than just business modeling. It also offers business automation. The Digital Enterprise Suite is built on an intelligent fabric called Digital Enterprise Graph and accelerates digital transformation, innovation and improvement via visualization, from business discovery to automation. It combines strategy, design, technology, and automation to provide insight and automation for your organization in order to gain competitive advantage.

TimesFM-3 represents an advanced time series foundation model that excels in highly precise multivariate forecasting with a single forward pass. This model, which consists of 330 million parameters, has undergone pre-training on a vast corpus of real-world and synthetic time series data, totaling over 1 trillion time points, thereby enhancing the effectiveness and zero-shot generalization capabilities seen in previous TimesFM iterations. It is adept at simultaneously predicting numerous coevolving time series and understanding dependencies that bolster accuracy without the need for task-specific fine-tuning. Furthermore, it accommodates multiple forecasting targets, including both point and quantile predictions, and incorporates past covariates that are only available historically, alongside dynamic covariates that pertain to future events such as planned promotions, holidays, or weather changes. Utilizing a decoder-only transformer architecture, TimesFM-3 processes sequential data in segments of 32 time steps, employing alternating causal temporal attention and full variate attention to integrate patterns across both time and interrelated series effectively. As a result, it provides a robust tool for forecasting complex time-dependent phenomena in various applications.

Many attribution tools can indicate which advertisements a customer interacted with prior to making a purchase, which demonstrates correlation. In contrast, Causality Engine reveals the potential impact on your revenue had those advertisements not been run, thus establishing causation. Utilizing causal inference—similar to the statistical techniques employed in clinical drug trials—we assess the actual incremental revenue generated by each marketing channel. This approach ensures that the results are unaltered, unassisted, and genuinely caused by the marketing efforts. The calculations are straightforward: for instance, if Meta shows a 4.2x ROAS, but your overall revenue remains unchanged after reducing your spend by 30%, it indicates that those conversions would have occurred regardless. Causality Engine precisely measures the extent of this effect. By linking your GA4 and Shopify data, you can receive your initial causal analysis in less than five minutes. There's no need for tracking pixels, cookies, or intricate integrations—simply upload your data to discover which channels are truly driving growth versus those that merely claim credit for pre-existing growth. The service offers a one-time analysis for $99, while continuous insights are available for $299 per month. This allows businesses to maintain an ongoing understanding of their marketing effectiveness and revenue generation.

Harnessing cutting-edge open-source AutoML technology, we facilitate the creation of high-quality models effortlessly. This system incorporates Deep Learning and pre-trained models to enhance intelligence wherever relevant. By employing Causal AI alongside AutoML, it ensures fairness, supports causal inference, and provides counterfactual predictions. Each trained model can be deployed instantly for interactive online use or through an API, making it accessible to all users. Additionally, it offers comprehensive insights into feature importances and model explanations through Shapley values. Our AI engine operates entirely on an open-source framework, allowing for complete transparency and universal applicability of our algorithms. It effectively groups customers or products into similar cohorts based on an extensive array of features. Furthermore, it predicts future outcomes by identifying temporal patterns in historical data and is capable of training predictive models using labeled data to make predictions on unlabeled datasets, thereby enhancing its overall utility and performance.

Create models at ten times the speed, link them directly to your data sources, and share insights through interactive dashboards with stunning visuals. Causal's formulas are designed to be straightforward—eliminating the need for complex cell references or cryptic syntax, and a single formula in Causal can replace dozens or even hundreds of traditional spreadsheet formulas. With the built-in scenario feature, you can effortlessly establish and analyze various what-if scenarios, utilizing ranges like "5 to 10" to grasp the complete spectrum of potential outcomes for your model. Startups leverage Causal for critical tasks such as calculating runway, monitoring key performance indicators, planning staff compensation, and crafting financial models that are ready for investors. Create eye-catching charts and tables without the hassle of lengthy customization processes. Additionally, you can seamlessly toggle between different time scales and summary formats to suit your analysis needs. Unleash the power of your data and transform the way you visualize your business metrics.

A no-code AI platform designed for enterprises transforms raw data into enhanced business insights. In the pursuit of valuable information within extensive data lakes, misleading correlations can contaminate findings, resulting in unreliable signals for organizations. CausaLake smartly identifies the most relevant data tailored to specific use cases, standing out as the sole technology capable of delving beyond correlated indicators in comparable datasets to pinpoint causal factors. Causal AI models illustrate the workings of various systems, encompassing economies, businesses, and biological entities. They offer a high level of trust and transparency, merging the strengths of human expertise with artificial intelligence. CausaLab represents the pinnacle of causal model discovery technology. The essence of AI transcends mere future predictions; it aims to actively influence outcomes. For AI to facilitate high-quality decision-making, it must grasp the human context alongside the goals and limitations of organizations. To address this challenge, we introduced decisionOS, which effectively connects predictions with actionable decisions, empowering organizations to optimize their strategies.

Autobox is the most user-friendly solution for forecasting available today. Tailored for both beginners and seasoned professionals, it allows users to input their data and generate forecasts with expert-level accuracy. Regardless of your current forecasting technique, Autobox enhances your precision in predictions significantly. This innovative tool has been recognized as the “best-dedicated forecasting program” in the esteemed Principles of Forecasting textbook and has transitioned into an online platform. The unique methodology employed by AFS does not confine data to a rigid model or a small selection of models, enabling Autobox to optimally integrate historical data and causal factors while addressing level shifts, local time trends, pulses, and seasonal variations as needed. The Autobox engine is adept at uncovering new causal variables by analyzing patterns within historical forecast errors and outliers, often revealing causal factors that users may have been unaware of, such as promotions, holidays, and day-of-the-week influences. This capability allows users to harness a broader range of insights, ultimately leading to more refined and actionable forecasts.

Harpin AI revolutionizes the way businesses handle their disparate customer and operational data systems by creating a reliable, integrated platform that provides immediate insights and practical recommendations across various domains such as sales, marketing, support, operations, and executive management. Within just two weeks, it establishes connections to essential systems like CRM, POS, CCaaS, PMS, and loyalty programs, ensuring data validation and enhancement while identifying performance barriers, unexplored opportunities, and optimal next steps for both frontline staff and leadership. Its specialized modules, including Beacon for enhanced executive oversight, Momentum for boosting revenue growth, and Catalyst for transforming customer experience and operations, empower organizations to effectively manage lead routing, customize offers during live interactions, minimize handling times and reduce campaign inefficiencies, ultimately leading to higher conversion rates, increased customer loyalty, and greater operational efficiency. This comprehensive approach not only streamlines processes but also equips teams with the tools they need to succeed in a competitive landscape.

Stella is a platform designed for marketing measurement, providing marketers with robust, scientifically validated insights into which advertisements, campaigns, and media channels effectively contribute to increased revenue. The platform is equipped with three primary tools: Incrementality Testing, Always-On Incrementality, and Media Mix Modeling (MMM). Through Incrementality Testing, Stella conducts geo-holdout studies, also known as inverse holdouts, to evaluate performance differences between test and control areas, effectively isolating the causal effects of advertisements as opposed to relying solely on attribution methods. This tool simplifies complex statistical processes, including causal inference and confidence intervals, allowing users to understand the potential outcomes without a specific campaign, thus uncovering the genuine “lift” attributed to each advertisement. Furthermore, its Media Mix Modeling feature employs a unique Bayesian approach to dissect historical marketing expenditures and various external influences, such as seasonality and promotional events, to assess the contribution of each channel to overall sales effectively. By leveraging these advanced methodologies, Stella empowers marketers to make informed decisions based on accurate data analysis.

To create an insight-first culture that rewards data-driven decisions, you need to get relevant, actionable and human-friendly information across multiple media and personas. Use the power of machine learning, machine learning, search index, natural language generation, and automation to get immediate, actionable insights. You can easily find insights through voice and text chat, search and email, document, portal and email. Continuously updated data from technology, retail, and CPG helps you find actionable opportunities. Self-learning knowledge base improves insights generation, recommendation, publishing. Pre-trained machine-learning models that are industry-specific. Automated narrative generation service to publish precise, contextual insights.

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ProModel serves as a sophisticated tool for discrete event simulation and predictive analytics, offering valuable insights for navigating intricate decision-making processes. By utilizing ProModel AI simulation software, you can enhance your system's efficiency while simultaneously mitigating risks. Our solutions, driven by data, cater to industries that demand meticulous planning and forecasting to maintain seamless, effective, and optimal operations. Understanding the implications of operational changes on production and scheduling is critical for both current and future scenarios. Our AI simulation software empowers organizations to create, simulate, and refine factory layouts using a digital twin, quickly project patient counts and bed availability, identify and avert operational bottlenecks, and improve capacity planning and scheduling to facilitate smoother production workflows. With dynamic simulation models, you can achieve superior process management and utilize visual insights to pinpoint the origins and reasons behind bottlenecks, ultimately leading to more informed decision-making and enhanced operational efficiency.

Gain a deeper comprehension of the ‘what’ and ‘why’ behind your business data through AI-powered guided insights. Tellius Decision Intelligence allows both business users and analytics teams to swiftly grasp the underlying reasons and key influencers of business activities while obtaining immediate responses in natural language. Streamline intricate data analysis to reveal fundamental causes, comprehend significant business drivers, compare different cohorts, and detect impactful segments within your data. Uncover insights that are often concealed within your data silos in an instant. By analyzing billions of data points from various sources in a matter of seconds, you can retrieve crucial findings. Empower a broader audience with advanced analytical capabilities and merge the advantages of industry expertise with data science insights. Tellius offers a contemporary approach to decision intelligence that caters to the requirements for both spontaneous data exploration and visualization, alongside the automated discovery of insights facilitated by machine learning, all while leveraging cloud scalability and flexibility. This innovative platform ensures that organizations can make informed decisions more efficiently and effectively.

Achieve a strategic advantage and sustain a superior position against competitors through an innovative automated system designed to interpret diverse data sources for valuable insights. Our time series forecasting solution, Dominate, meticulously examines economic metrics, global market indices, media trends, and additional data to support effective supply chain management and anticipate potential future scenarios. This state-of-the-art method of data preparation has been validated in some of the most challenging environments worldwide. By employing AI and machine learning, we harness the interconnections between comprehensive data elements to effectively influence your results. Our advanced multi-step, multi-factor, multi-target autoregressive models can accurately predict various values and adjust them as necessary. Dominate offers assurance in shaping circumstances to uncover surprising insights and create groundbreaking strategies. Moreover, our tensor completion technique effectively manages flawed and incomplete data while providing time-series forecasting, alert notifications, and impact assessments. Ultimately, this robust capability empowers organizations to navigate uncertainty and make informed decisions with confidence.

INCRMNTAL is an always-on incrementality measurement platform that reveals the true impact of your ad spend - without cookies, device IDs, or planned experiments. Powered by causal AI and reinforcement learning, INCRMNTAL analyzes marketing performance across Mobile, Web, TV & CTV, Influencers, OOH & DOOH, Audio, and Podcasts to answer the question every marketer should be asking: "What would have happened if I hadn't spent that money?" The platform delivers actionable, privacy-first insights continuously — no control groups, no holdouts, no waiting. Just real incrementality data that helps Advertisers optimize budgets, cut waste, and prove the value of every dollar spent. Trusted by leading brands including Paramount, Supercell, DraftKings, Binance, eToro, Funko, and LYFT, INCRMNTAL helps marketing teams move beyond vanity metrics and last-click attribution to understand what's actually driving growth. Whether you're scaling user acquisition, evaluating a new channel, or justifying CTV spend to your CFO - INCRMNTAL gives you the evidence to make smarter decisions. Unlike traditional MMM solutions that require months of setup and deliver stale quarterly reports, INCRMNTAL works in near real-time with minimal integration effort. Connect your data, and the platform starts surfacing incremental insights automatically - identifying diminishing returns, cannibalization between channels, and opportunities to reallocate spend for maximum impact. If you're tired of guessing which half of your advertising is working, INCRMNTAL replaces gut feelings with causal proof.

Qwen3.8-2.4T-A95B stands out as the most extensive open model within the Qwen3.8 series, offering advanced Qwen-Max-class features in a publicly accessible format. Constructed upon the solid framework of Qwen3.5, this model significantly enhances performance in areas such as coding, professional tasks, research, and complex, prolonged agentic activities, emphasizing the reliability of executing intricate, multi-step workflows to completion. Utilizing a cutting-edge mixture-of-experts architecture, it boasts an impressive total of 2.4 trillion parameters, with 95 billion of those being activated, featuring 512 experts and engaging 10 routed along with one shared expert simultaneously. The model accommodates a native context length of 262,144 tokens, which can be extended to around 1.01 million tokens, thereby providing substantial flexibility for various applications. Furthermore, improvements in agent execution, such as enhanced autonomous planning and better responsiveness to environmental feedback, contribute to its efficiency, while its broader compatibility with widely used agent frameworks and development tools facilitates seamless integration into existing systems, making it a versatile choice for developers and researchers alike.

We enable leaders to swiftly make impactful choices through recommendations rooted in data analysis. Our innovative approach incorporates unique time series features and automated model selection, which serve as the core of our strategy to enhance forecasting precision. Rather than taking days, you can optimize various scenarios in just minutes, allowing for thorough discussions on implications and trade-offs that lead to sound recommendations. We also integrate external data sources such as commodity prices, social media trends, and significant events. Our collection of cloud-based applications is specifically designed for supply chain and financial operations. With a cutting-edge demand and consensus planning solution, we provide exceptional forecasting accuracy while prioritizing a customer-oriented workflow. In addition, our efficient cash management tool enables accurate forecasting and reveals crucial insights for effective cash savings. Furthermore, our machine learning-driven optimization application enhances production and multi-echelon inventory management, facilitating seamless control over the movement of goods and services while supporting better operational decisions. Together, these tools create a comprehensive ecosystem that empowers organizations to thrive in a competitive landscape.

Unleash your creativity with stunning compositions, whether they be essays, captivating marketing taglines, engaging poems, or other forms of written expression. Say goodbye to writer's block, dull content, and the endless hours spent in frustration; embark on your writing journey with the help of AI today and discover a world of inspiration!

Eyko is an innovative decision intelligence platform driven by AI, aimed at converting unrefined business data into organized and actionable insights by examining current developments, their underlying causes, and the necessary steps to take next. It seamlessly integrates with pre-existing business systems such as ERP, CRM, finance, supply chain, and analytics solutions, enabling companies to utilize their existing data without the need to overhaul their infrastructure or create additional reporting frameworks. Central to eyko's functionality are its "Playbooks," which provide comprehensive, decision-ready analyses complete with executive summaries, explanations of root causes, and actionable recommendations that address real business challenges rather than relying on conventional static dashboards. In contrast to standard business intelligence tools that primarily prioritize data visualization, eyko focuses on effectively addressing business problems by minimizing the time between gaining insights and implementing actions, merging structured analysis, contextual understanding of business dynamics, and AI-driven reasoning into a cohesive output. By doing so, eyko not only enhances decision-making processes but also empowers organizations to respond more dynamically to changing market conditions.

Aera Decision Cloud is an enterprise decision intelligence platform designed to automate and improve business decisions across complex organizations. It powers Aera as an agentic decision intelligence system that continuously analyzes data, reasons across business operations, and recommends or executes actions in real time. The platform connects to more than 200 data sources, including transactional systems, planning tools, analytics platforms, IoT signals, external data, and unstructured information. Its Decision Data Model creates a governed foundation that captures not only operational data, but also decision context, actions taken, and outcomes. Aera uses this decision memory to learn from previous actions and deliver increasingly optimized recommendations. Multi-engine orchestration allows teams to combine business rules, optimization models, simulations, AI/ML pipelines, graph analytics, and agent teams into composable decision workflows. Agentic Ambient Intelligence runs in the background to detect situations that need attention and generate recommended actions for approval or automation. Dynamic engagement tools let users interact with Aera through natural language chat, real-time inbox recommendations, collaborative workspaces, and decision control rooms. Aera Decision Cloud gives enterprises a scalable, explainable, and composable platform for digitizing decision-making across supply chain, procurement, finance, sales, marketing, HR, ESG, and other business functions.

Paperade AI serves as a cutting-edge innovation intelligence platform that connects unprocessed research data with successful market outcomes, leveraging explainable neurosymbolic AI to facilitate well-informed R&D choices. By integrating millions of patents, academic studies, and market indicators, the platform creates a unified innovation ecosystem, converting disjointed information into a clear and actionable R&D strategy. Among its notable features are tailored, automated updates on emerging ideas, mapping of relevant industry participants, analysis of funding trends, and pinpointing of market deficiencies, all complemented by predictive analytics for comprehensive scenario evaluation. The platform's unique combination of symbolic reasoning and neural network capabilities ensures that users receive transparent and practical insights, which aid in evaluating the strengths, weaknesses, and potential risks associated with intellectual property while also predicting market acceptance and revenue prospects. By effectively identifying lucrative opportunities and assessing their commercial viability, Paperade AI expedites the transition from laboratory research to market implementation, ultimately driving innovation forward. Furthermore, this innovative solution empowers organizations to remain agile and competitive in a rapidly evolving technological landscape.

We create innovative data solutions that enhance individuals' decision-making capabilities. This endeavor revolves around grasping the intricacies of human thought, learning, and behavior. Our focus is on developing intelligent systems that are both self-learning and self-service. Decision Intelligence represents a fusion of various disciplines, including data science, technology, business, and behavioral studies, which collectively empower informed decisions to generate effective solutions for tangible challenges. Our mission is to tackle significant, complex issues head-on. By leveraging technology as a strategic advantage and data as a guiding force, we aim to provide valuable insights to society through the integration of data and technology. Data science involves examining the origins of information, understanding its significance, and transforming it into a crucial asset for formulating business and IT strategies. Analyzing vast quantities of both structured and unstructured data to uncover meaningful patterns can enable organizations to control expenses, boost efficiency, identify emerging market prospects, and enhance their competitive edge, ultimately leading to smarter business outcomes. Moreover, the continuous evolution of data capabilities presents a promising future for organizations ready to embrace this transformative journey.

Aily Labs offers a mobile-centric decision-intelligence platform that equips organizations with instantaneous AI insights and predictive analytics throughout their operations. This innovative product dismantles data silos by linking comprehensive company information via its Correlator engine, which incorporates sophisticated AI and machine-learning models to predict outcomes, model scenarios, enhance decision-making, and present actionable insights to frontline personnel. Featuring rapid one-day integration and ready-to-use enterprise workflows, the platform helps teams rethink and revolutionize their work approaches, ensuring that data becomes a shared asset while minimizing decision-making biases and facilitating swifter, more informed actions. It supports essential functions such as forecasting, simulations, and optimization for supply chains, finance, and operations, providing a complete view and decision intelligence directly at users' fingertips. Offered as an app, this solution is specifically engineered to transition organizations from mere passive analytics to actively engaging in decision-driven processes, ultimately enhancing overall efficiency and responsiveness. By fostering a culture of data accessibility, Aily Labs enables teams to harness the full potential of their information resources, driving innovation and strategic growth.

Federal Compass is a software platform for federal government contractors. With Federal Compass' solution, federal contractors can better identify their aligned opportunities, identity buying departments and agencies, dig into agency spending, research their competitors, explore potential market expansion, and identify potential teaming partners. All of this is included in one, easy-to-use platform. See how Federal Compass can help your team today.

Olmo 3 represents a comprehensive family of open models featuring variations with 7 billion and 32 billion parameters, offering exceptional capabilities in base performance, reasoning, instruction, and reinforcement learning, while also providing transparency throughout the model development process, which includes access to raw training datasets, intermediate checkpoints, training scripts, extended context support (with a window of 65,536 tokens), and provenance tools. The foundation of these models is built upon the Dolma 3 dataset, which comprises approximately 9 trillion tokens and utilizes a careful blend of web content, scientific papers, programming code, and lengthy documents; this thorough pre-training, mid-training, and long-context approach culminates in base models that undergo post-training enhancements through supervised fine-tuning, preference optimization, and reinforcement learning with accountable rewards, resulting in the creation of the Think and Instruct variants. Notably, the 32 billion Think model has been recognized as the most powerful fully open reasoning model to date, demonstrating performance that closely rivals that of proprietary counterparts in areas such as mathematics, programming, and intricate reasoning tasks, thereby marking a significant advancement in open model development. This innovation underscores the potential for open-source models to compete with traditional, closed systems in various complex applications.

Bliss Point, developed by Tinuiti, is an innovative marketing measurement and decision platform that leverages patented AI and machine learning technologies to consolidate and harmonize performance insights across a brand's comprehensive media landscape, encompassing both online and offline channels as well as brand, creative, and customer data, enabling marketers to identify growth drivers and reduce unnecessary expenditures. This platform integrates a variety of sophisticated tools into a single measurement suite, including Rapid Media Mix Modeling (rMMM) for swift and clear causal media analysis, Always-On Incrementality Testing for ongoing validation of channel effectiveness, Brand Equity measurement that connects media spending to brand performance and revenue outcomes, Creative Insights to pinpoint impactful creative elements, Geo Media Mix Modeling for location-based optimization, and Customer Insights that transform first-party data into in-depth demographic segmentation and penetration analysis, thereby equipping marketers with the necessary insights to make informed decisions. With its comprehensive approach, Bliss Point not only enhances measurement accuracy but also empowers brands to maximize their marketing efficiency and effectiveness.

Finding insights in your data can be quite challenging, especially when time is limited for creating reports and dashboards. With the innovative capabilities of AI, SpotIQ swiftly reveals tailored insights, providing them to you in mere seconds. It harnesses the robust in-memory calculation engine of ThoughtSpot to execute thousands of queries across billions of data rows, applying numerous algorithms for insight detection. This tool can uncover anomalies that deviate from expected trends, reveal causal links between various business drivers and their outcomes, and track business data over time to discern consistent patterns amidst the noise. Additionally, it allows for the comparison of groups of data to identify both similarities and differences. As users interact with their data through ThoughtSpot, SpotIQ adapts by learning what matters most, enhancing its algorithms to deliver increasingly relevant insights. Consequently, the system becomes more intelligent as the number of users and data within ThoughtSpot grows, leading to a continuous cycle of improvement in data analysis.

Connected intelligence. Optimized pricing. Modern retailing. Unrestricted fulfillment. Welcome to the 21st century travel and transportation technology. Finally, a platform that is built for purpose and attainable to enable travel and transportation leaders make confident commercial decisions, and exceed modern ecommerce expectations. We combine AI with legacy-free solutions and practical AI to give travel and transportation companies the competitive edge they need. FLYR’s platform helps travel companies and transportation companies to preserve and extend revenue lines and adapt quickly in increasingly dynamic environments.

Samsung Gauss is an innovative AI model crafted by Samsung Electronics, designed to serve as a large language model that has been trained on an extensive array of text and code. This advanced model is capable of producing coherent text, translating various languages, creating diverse forms of artistic content, and providing informative answers to a wide range of inquiries. Although Samsung Gauss is still being refined, it has already demonstrated proficiency in a variety of tasks, such as: Following directives and fulfilling requests with careful consideration. Offering thorough and insightful responses to questions, regardless of their complexity or peculiarity. Crafting different types of creative outputs, which include poems, programming code, scripts, musical compositions, emails, and letters. To illustrate its capabilities, Samsung Gauss can translate text among numerous languages, including English, French, German, Spanish, Chinese, Japanese, and Korean, while also generating functional code tailored to specific programming needs. Ultimately, as development continues, the potential applications of Samsung Gauss are bound to expand even further.

Protect your cloud-native runtime environments against external threats, misconfigurations, and insider risks. By leveraging eBPF technology, Spyderbat generates a comprehensive map of activities across cloud systems and containers, illustrating their causal connections. This CausalContext map enables Spyderbat to identify workload behaviors, enforce security protocols, prevent attacks without relying on signatures, and deliver instant insights into root causes. The A3C Engine from Spyderbat efficiently compiles data into a visual representation that highlights these causal relationships for both real-time analysis and historical reference. Moreover, it automatically generates behavior fingerprints of workloads, transforming them into actionable policies that can alert or even obstruct anomalous behaviors, ensuring robust security measures. This proactive approach enhances overall cloud security and provides organizations with the tools to respond effectively to emerging threats.

The Decisions Platform is a no code business automation solution that focuses primarily on data handling, process automation and business rule execution. The Decisions Platform includes a workflow engine, a form designer, form designer, report/or dashboard builder and an open API and SDK. It offers a complete business process management solution for large companies and software company partners. Decisions is a visual, drag-and-drop, no-code design technology that was built and tested to help organizations automate a variety of business processes.

The Infor Augmented Intelligence Service (AIS) is an all-encompassing solution aimed at improving decision-making by weaving artificial intelligence and machine learning into the core functions of businesses. This service offers tailored Infor science resources that focus on aligning machine learning models with the unique objectives of the organization, ensuring that AI and ML implementations remain beneficial as the organization progresses. AIS encompasses a managed infrastructure, smooth software delivery, and ongoing support, which permits the creation, rollout, and upkeep of machine learning models without requiring internal data science capabilities. By utilizing AIS, organizations can automate mundane tasks, enhance their responses to particular incidents, and obtain predictive insights, leading to increased operational efficiency and better strategic choices. The service is engineered for rapid deployment, promising a profitable return on investment in as little as 90 days, which further encourages organizations to embrace innovative technologies. Overall, AIS empowers businesses to thrive in an increasingly data-driven landscape.

Enhancing visibility is essential for improving the efficiency, safety, and affordability of water systems. At Xylem, we leverage digital insights to enable a clearer understanding of network operations, enhance system performance, and proactively safeguard assets and communities, thereby ensuring continuity and resilience. By implementing these strategies, organizations can discover significant cost savings while achieving unprecedented levels of efficiency and control. Additionally, compliance can be maintained, services optimized, and flooding and overflow incidents mitigated effectively. With the capability to make data-driven, real-time decisions, water treatment facilities can be managed more adeptly, significantly lowering risks. A connected enterprise strategy not only prioritizes water safety and affordability but also improves customer access. By concentrating on meter performance, revenue can be optimized while apparent losses are minimized. Furthermore, protecting investments becomes possible through the identification of potential improvements and risks, allowing for a proactive approach to future challenges. This comprehensive approach ultimately ensures a more sustainable and resilient water management system for communities.

Oracle Real-Time Decisions (RTD) integrates both rule-based systems and predictive analytics to create dynamic solutions for managing enterprise decisions in real-time. It facilitates the incorporation of immediate intelligence into various business processes or customer interactions as they occur. A robust transactional server ensures that decisions and recommendations are made in real-time. This server autonomously produces decisions within the business workflow, uncovering insights and transforming data in motion into actionable intelligence. Closed-loop decision-making allows organizations to apply comprehensive business logic effectively. Additionally, analytical decisions empower businesses to utilize established analytical resources for rules-based or predictive choices. Furthermore, self-adjusting processes enable organizations to create systems that evolve automatically in response to feedback over time, ensuring ongoing optimization and adaptability. Ultimately, this integration of technology fosters a more responsive and intelligent business environment.

Integrating artificial intelligence into the core of Sales and Operations Planning (S&OP) can significantly enhance overall business performance while effectively utilizing existing ERP systems and limited human resources. The Decision Intelligence layer from PlanningForce empowers organizations to leverage human expertise, sophisticated modeling, databases, and AI to streamline intricate and non-linear decision-making processes. By fusing four essential elements—human experience, advanced modeling, comprehensive databases, and cutting-edge artificial intelligence—PlanningForce delivers a robust Decision Intelligence framework that enables managers to navigate their decision-making with remarkable speed and accuracy. The insights generated by this innovative layer of Decision Intelligence empower Decision-Makers, granting them mastery over operations that have grown more complex and interconnected over time. With the system's advanced simulation features, Decision-Makers can seamlessly manage the various dynamics involved in non-linear decision-making processes, leading to more informed and strategic outcomes. Ultimately, this integration not only enhances decision quality but also fosters a more agile and responsive organizational environment.

Haus is a cutting-edge marketing science platform that provides brands with the ability to accurately assess the true business effects of their advertising campaigns, whether conducted online or offline, by utilizing automated incrementality experiments. It features innovative products such as GeoLift for geographic incrementality testing, Causal Attribution for regular incrementality assessments, and the soon-to-be-released Causal MMM for media mix modeling driven by incrementality. These advanced tools empower users to quickly design and execute experiments within minutes, receive results in as little as two weeks, and enhance their marketing strategies through daily incrementality insights. Furthermore, Haus is committed to offering privacy-conscious solutions that avoid the use of pixels, cookies, or any personally identifiable information, which ensures adherence to the latest privacy regulations. As the landscape of digital marketing continues to evolve, Haus remains at the forefront, equipping brands with the necessary tools to navigate these changes effectively.

Introducing Rationale, an innovative AI tool designed to aid business owners, managers, and individuals in navigating challenging decisions. By simply inputting a decision you’re struggling with or various options you’re considering, our advanced GPT and in-context learning algorithms will help outline the advantages and disadvantages, create a SWOT analysis, and perform multi-criteria or causal analysis to assist you in evaluating your choices. Rationale takes into account all pertinent factors and your unique background, guiding you toward making a well-informed decision. The newly introduced outcomes analysis feature enables you to visualize the potential consequences of your choices through a detailed causal chain, revealing up to three levels of results in an intuitive, tree-like format. This tool not only highlights immediate consequences but also explores subsequent effects based on various developments. Additionally, you can enrich the analysis by providing more context about yourself and your enterprise, and you have the option to manage multiple profiles, allowing you to effortlessly switch between them for tailored insights. Ultimately, Rationale empowers you to approach decision-making with clarity and confidence.

Decision intelligence aims to empower employees with the ability to make faster, more informed decisions that will allow them to take corrective steps, capitalize on opportunities, and drive innovation. The data and analytics platform that is purpose-built to help enterprises make better, faster decisions. A new type of engine drives it. Streamlining the entire analysis workflow. One platform for all data, any person, and any analytics needs. This is the future for intelligent decisions. This new platform combines data preparation, data science, and business analytics into one integrated platform. Streamline all aspects of decision-making. Everything from discovery to publishing to modeling is interconnected (and easy-to-use). It can be run at hyper-scale to support any data-driven decision. Advanced data science is available for all business needs, from the C-Suite to frontline.

Enso, our decision intelligence platform, streamlines the creation, orchestration, and management of decision agents on a large scale. It includes a variety of prebuilt decision agents that can be easily combined to develop solutions for decision intelligence, which enhance over time through the incorporation of additional data, insights, and decisions. These decision agents function as intelligent digital assistants capable of being trained to mimic human decision-making abilities. They can evolve into specialists, continuously learning from their past decisions and the feedback they obtain, leading to improved decision-making across various processes. The Enso Canvas serves as a user-friendly visual studio that allows for straightforward building, training, orchestrating, and deploying of decision agents within your solutions. With its exceptional extensibility, Canvas empowers you to integrate and deploy decision agents utilizing your own data and models, ensuring they fit seamlessly into your workflows. By leveraging these tools, organizations can enhance their operational efficiency and adaptability in a rapidly changing environment.

The Executive Decision Pulse GEN AI transforms sales strategies and performance through innovative data analytics capabilities. It allows businesses to upload and synchronize both internal and competitor data, guaranteeing that insights are consistent and precise. With its Descriptive, Diagnostic, Predictive, and Prescriptive Analysis features, users gain a comprehensive understanding of performance metrics, emerging trends, and actionable tactics. Endorsed by Microsoft, this platform facilitates smooth integration, affordability through either in-house LLMs or widely-used models, and enhanced security with dynamic row-level protection for sensitive data. Notable functionalities include the PulseGrid for quick dashboard creation, an NLQ chatbot designed for tackling complex inquiries, and taFlux technology that enables rapid data processing. Users can export their findings in various formats such as PPT, PDF, CSV, or Excel. Serving sectors like Retail & Distribution, Key Account Management, and Trade Marketing & CRM, this tool significantly improves supply chain efficiency, fortifies client interactions, and fine-tunes marketing approaches to maintain a competitive edge. By leveraging these advanced features, organizations can not only drive better decisions but also foster growth in an ever-changing market landscape.

SAS Intelligent Decisioning empowers organizations to optimize their interactions with customers, partners, suppliers, and employees by facilitating well-informed decision-making. It allows for the delivery of relevant, real-time decisions based on business rules and advanced analytics, accommodating a vast array of use cases. Before implementation, users can easily test these decisions to confirm they will yield the desired outcomes. The platform includes strong governance features that ensure decisions are comprehensible and trustworthy throughout the organization. It can efficiently manage high volumes of data and decisions thanks to a cloud-based architecture that adapts to varying demands. Additionally, it supports decision-making at the edge and in-stream integration with IoT devices, enhancing its versatility. Users can effortlessly create and adjust decision-making processes, whether by utilizing a user-friendly drag-and-drop interface or by writing custom code. Decisions can be defined by exploring centralized repositories for data, models, and business rules, allowing users to leverage existing resources effectively. This comprehensive approach ensures that organizations can remain agile and responsive in a fast-paced business environment.

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