Oracle | September 25, 2023
Oracle introduces a data, analytics, and AI platform for Fusion Cloud Applications to enhance business outcomes.
The platform offers 360-degree Data Models, Prescriptive AI/ML Models, Rich Interactive Analytics, and Intelligent Applications.
Oracle plans to extend the platform to NetSuite and other industry applications, enriching analytics offerings.
Oracle has recently unveiled the Fusion Data Intelligence Platform, a cutting-edge data, analytics, and AI solution designed to empower Oracle Fusion Cloud Applications users to enhance their business outcomes through the fusion of data-driven insights and intelligent decision-making. This groundbreaking platform, which builds upon the foundations of the Oracle Fusion Analytics Warehouse product, offers business data-as-a-service with automated data pipelines, comprehensive 360-degree data models for critical business entities, interactive analytics, AI/ML models, and intelligent applications. These ready-to-use capabilities run on top of the Oracle Cloud Infrastructure (OCI) Data Lakehouse services, including Oracle Autonomous Database and Oracle Analytics Cloud, thereby facilitating complete extensibility across data, analytics, AI/ML, and application layers.
The Oracle Fusion Data Intelligence Platform presents the following suite of pre-built capabilities that are designed to empower Oracle Fusion Cloud Applications users to unlock the full potential of their data:
360-Degree Data Models: This will equip business users with a cohesive and comprehensible representation of their organizational data, allowing them to discern the intricate relationships between data and business processes. By providing a range of conformed data models based on Oracle Fusion Cloud Applications data and other data sources, this platform offers a 360-degree view of various facets of a business, including customers, accounts, products, suppliers, and employees.
Prescriptive AI/ML Models: Leveraging pre-configured AI/ML models, such as workforce skills assessment and customer payment forecasting, organizations can solve specific business problems by automating labor-intensive tasks, freeing up resources for strategic endeavors. Furthermore, it empowers organizations to rapidly analyze substantial datasets, uncovering invaluable insights and patterns that can drive business growth and efficiency.
Rich Interactive Analytics: Business users can seamlessly explore and visualize their data using pre-built dashboards, reports, and key performance indicators (KPIs). Additionally, Analytics Cloud features like natural language query, auto insights, and mobile applications allow quick access to data and insights.
Intelligent Applications: These applications go beyond providing insights offering intelligent recommendations based on pre-existing data models, AI/ML models, and analytics content. They enable organizations to make informed decisions swiftly, ultimately improving business outcomes.
The Fusion Data Intelligence Platform is a pivotal step in a long-term vision to transition from data and analytics to actionable decisions that drive business success. Importantly, this platform will extend its reach beyond Oracle Fusion Cloud Applications, with plans to offer the same foundational platform for NetSuite and across various Oracle industry applications, such as healthcare, financial services, and utilities, to facilitate cross-domain insights.
The Fusion Data Intelligence Platform includes an extensive portfolio of ready-to-use analytics for Oracle Fusion Cloud Enterprise Resource Planning (ERP), Oracle Fusion Cloud Human Capital Management (HCM), Oracle Fusion Cloud Supply Chain & Manufacturing (SCM), and Oracle Fusion Cloud Customer Experience (CX). These analytics offerings have been further enriched with the following additions:
Oracle Fusion ERP Analytics: The introduction of Accounting Hub analytics empowers finance teams to create a system of insights for accounting data sourced from Oracle Accounting Hub sub-ledger applications.
Oracle Fusion SCM Analytics: New Manufacturing analytics provide manufacturers with timely insights into work order performance, enhancing shop floor efficiency by rapidly identifying anomalies and continually optimizing plan-to-produce processes by connecting insights across supply chain data.
Oracle Fusion HCM Analytics: The addition of Inferred Skills, Payroll Costing, and Continuous Listening analytics equips organizational leaders with integrated workforce insights, covering employee skills, payroll trends and anomalies, and the efficacy of a continuous listening strategy at any given point in time.
Oracle Fusion CX Analytics: The new Quote-to-Cash analytics extend the analysis beyond the lead-to-opportunity pipeline by offering insights into how the price, contract, and quote process influences the overall customer experience.
Big Data Management
Kinetica | September 22, 2023
Kinetica, a renowned speed layer for generative AI and real-time analytics, has recently unveiled a native Large Language Model (LLM) integrated with Kinetica's innovative architecture. This empowers users to perform ad-hoc data analysis on real-time, structured data with the ease of natural language, all without the need for external API calls and without data ever leaving the secure confines of the customer's environment. This significant milestone follows Kinetica's prior innovation as the first analytic database to integrate with OpenAI.
Amid the LLM fervor, enterprises and government agencies are actively seeking inventive ways to automate various business functions while safeguarding sensitive information that could be exposed through fine-tuning or prompt augmentation. Public LLMs, exemplified by OpenAI's GPT 3.5, raise valid concerns regarding privacy and security. These concerns are effectively mitigated through native offerings, seamlessly integrated into the Kinetica deployment, and securely nestled within the customer's network perimeter.
Beyond its superior security features, Kinetica's native LLM is finely tuned to the syntax and industry-specific data definitions, spanning domains such as telecommunications, automotive, financial services, logistics, and more. This tailored approach ensures the generation of more reliable and precise SQL queries. Notably, this capability extends beyond conventional SQL, enabling efficient handling of intricate tasks essential for enhanced decision-making capabilities, particularly for time-series, graph, and spatial inquiries. Kinetica's approach to fine-tuning places emphasis on optimizing SQL generation to deliver consistent and accurate results, in stark contrast to more conventional methods that prioritize creativity but yield diverse and unpredictable responses. This steadfast commitment to reliable SQL query outcomes offers businesses and users the peace of mind they deserve.
Illustrating the practical impact of this innovation, the US Air Force has been collaborating closely with Kinetica to leverage advanced analytics on sensor data, enabling swift identification and response to potential threats. This partnership contributes significantly to the safety and security of the national airspace system. The US Air Force now employs Kinetica's embedded LLM to detect airspace threats and anomalies using natural language.
Kinetica's database excels in converting natural language queries into SQL, delivering responses in mere seconds, even when faced with complex or unfamiliar questions. Furthermore, Kinetica seamlessly combines various analytics modes, including time series, spatial, graph, and machine learning, thereby expanding the range of queries it can effectively address. What truly enables Kinetica to excel in conversational query processing is its ingenious use of native vectorization. In a vectorized query engine, data is organized into fixed-size blocks called vectors, enabling parallel query operations on these vectors. This stands in contrast to traditional approaches that process individual data elements sequentially. The result is significantly accelerated query execution, all within a smaller compute footprint. This remarkable speed is made possible by the utilization of GPUs and the latest CPU advancements, which enable simultaneous calculations on multiple data elements, thereby greatly enhancing the processing speed of computation-intensive tasks across multiple cores or threads.
Kinetica is a pioneering company at the forefront of real-time analytics and is the creator of the groundbreaking real-time analytical database specially designed for sensor and machine data. The company offers native vectorized analytics capabilities in the fields of generative AI, spatial analysis, time-series modeling, and graph processing. A distinguished array of the world's largest enterprises spanning diverse sectors, including the public sector, financial services, telecommunications, energy, healthcare, retail, and automotive industries, entrusts Kinetica to forge novel solutions in the realms of time-series data and spatial analysis. The company's clientele includes various illustrious organizations such as the US Air Force, Citibank, Ford, T-Mobile, and numerous others.
Business Wire | October 04, 2023
Wiiisdom, the pioneer in AnalyticsOps, today announced Wiiisdom Ops for Power BI, a new governance offering designed to deliver trusted data and analytics at scale. This SaaS-based solution, part of the AnalyticsOps portfolio from Wiiisdom, unlocks and automates new testing capabilities and integrated BI content management workflows for Microsoft Power BI.
Data and analytics governance is a critical enabler of business success, yet many people are still spending the majority of their time finding and resolving errors. Ventana Research predicts that through 2025, governance issues will remain a significant concern for more than one-half of organizations, limiting the deployment and therefore the realized value of analytics investments.
Our research shows two-thirds of organizations consider it very important to improve their data governance and only half of are governing their analytic objects, said David Menninger, SVP & Research Director, Ventana Research. Analytical operations solves this challenge by automating analytics governance, allowing all stakeholders within an organization to mitigate risks and make data-driven decisions. The AnalyticsOps portfolio of products from Wiiisdom, including the new solution, Wiiisdom Ops for Power BI, helps to ensure data is accurate, up-to-date, and consistent for trusted analyses.
Wiiisdom is on a mission to simplify and automate governance for analytics so decision-makers have quality, trusted data that they can use for decision-making. By streamlining testing, deploying, and monitoring as an integrated workflow across the entire organization, data leaders can provide timely insights that will drive value to their business, without sacrificing quality and trust.
“With more than 15 years of experience solving the toughest business intelligence challenges, we have a unique understanding of the problems that today’s data leaders face,” said Sebastien Goiffon, Wiiisdom Founder and CEO. “The launch of Wiiisdom Ops for Power BI is another step in our mission to minimize risk and increase trust in an organization’s data so business leaders across the globe can confidently make data-driven decisions.”
Wiiisdom Ops for Power BI automates dataset and report testing and streamlines analytics governance workflows, so organizations can easily validate datasets and trust that reports are accurate. The new offering allows users to:
Test and deploy content at scale: improve productivity and increase confidence with cloud-native, automated testing for all Power BI content across an organization;
Catch errors to minimize risk: build and run statistical validations, value checks, regression tests, and more to identify errors, and then document test results to comply with business and regulatory requirements; and
Build trust in data and analytics: ensure content is accurate and reliable so organizations can maximize the value of Microsoft Power BI investment and drive stakeholder adoption across the enterprise.
The introduction of Wiiisdom Ops for Power BI builds on the tremendous traction that Wiiisdom has achieved over the last 12 months. The company continues to attract top talent, adding several new go-to-market leaders from Tableau, including Michael Holcomb, VP, Customer Success and Jeremy Blaney, VP, Product Marketing, who deeply understand modern BI and customer pain points. Additionally, the company introduced a new partner program that brings together data and analytics consulting partners and world-class resellers to further scale the business.
Wiiisdom Ops for Power BI, which was unveiled at the Microsoft Power Platform Conference in Las Vegas, is available now directly and on Microsoft AppSource and Microsoft Azure Marketplace. To learn more about Wiiisdom Ops for Power BI, please check out the blog post or visit: https://wiiisdom.com/wiiisdom-ops/power-bi/
Wiiisdom is the pioneer in AnalyticsOps, building no-code, enterprise-grade solutions that simplify governance for analytics and business intelligence platforms like Tableau, Microsoft Power BI, and SAP BusinessObjects. The company offers automated BI testing capabilities and integrated workflows for content lifecycle management that make it easy to comply with governance policies at scale. For more than 15 years, Wiiisdom's solutions have helped organizations of every type, including Fortune 100 companies, build trust in data and analytics, ensuring leaders can make confident data-driven decisions. Learn more at Wiiisdom.com.