BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA SCIENCE
Pyramid Analytics | March 21, 2023
Pyramid Analytics (Pyramid), a leading business analytics and decision intelligence provider, announced today at the Gartner Data & Analytics Summit in Orlando, Florida, that the Pyramid 2023 release extends its already category-leading, AI-driven augmented capabilities with the integration of GPT (generative pre-trained transformer) AI technology from OpenAI—the company behind ChatGPT and DALL-E 2—throughout the platform, interoperating with its deep set of current AI technologies.
The release harnesses the new GPT AI engines to drive complex logic, data science, and machine learning code generation; AI-driven storytelling capabilities; and even AI-assisted design templates and colors. The effort extends Pyramid’s broader vision to enable and drive adoption across the enterprise by empowering all users to solve data-centric business problems through no-code and AI-assisted analytics and decision intelligence.
Key facts about Pyramid’s OpenAI integration
OpenAI is integrated throughout the Decision Intelligence Platform—including the data preparation, data science, the business analytics and spreadsheet modules, and the storyboard and publication designer modules.
In data preparation: OpenAI can be used to generate SQL, DAX, and MDX code automatically for complex data extraction queries.
In data science: OpenAI can be used to generate Python and R code automatically to drive machine learning logic.
In spreadsheets: OpenAI can be used to build spreadsheet formulas for users constructing business models.
In storyboarding and publications: OpenAI can be used to generate designs for content and graphics.
Separately, OpenAI can be used with existing natural language querying (NLQ) engines to drive and enhance broader insights on enterprise-specific data, ultimately improving the existing tools for delivering automated storytelling and textual analysis.
Market recognition
Pyramid has long been recognized as an innovator in the decision intelligence and analytics space. The company’s Decision Intelligence Platform was ranked #1—by leading analyst firm Gartner—for “Augmented Analytics” in the 2022 Gartner Analytics and Business Intelligence (ABI) Critical Capabilities report.
Other leading analysts—such as 451 Research, Ventana Research, Dresner Advisory Services, and BARC—recognize Pyramid for its platform-based approach to no-code capabilities and AI/augmented analytics to enable all user types to drive sophisticated analytics easily. Critically, Pyramid’s existing augmented capabilities (NLQ, Chatbot, Smart Insights, Smart Model, Auto Discovery, Fill in the Blanks, Explain, etc.) uniquely operate directly on enterprise data without data duplication, custom models, proprietary data layers, or specialized data treatments.
Quotes
Avi Perez, CTO and Co-Founder, Pyramid Analytics: “By integrating OpenAI throughout the Pyramid Decision Intelligence Platform, we are extending our existing AI and augmented capabilities with the latest generative AI tech, transforming—and simplifying—the decision-making experience further. As a no-code/low-code platform, Pyramid is designed to extend advanced analytics—from descriptive to predictive to prescriptive—for non-technical businesspeople, allowing them to make informed decisions that drive business outcomes.”
Omri Kohl, CEO and Co-Founder, Pyramid Analytics: “At Pyramid, we believe the key to widespread adoption of data analytics requires an analytics experience that meets different people’s needs, regardless of their technical skills or analytics aptitude. By strategically integrating generative AI technologies like OpenAI, we are taking our AI vision to the next level.”
About Pyramid Analytics
Pyramid Analytics is the next generation of decision intelligence. The award-winning Pyramid Decision Intelligence Platform empowers people with augmented, automated, and collaborative insights that simplify and guide the use of data in decision-making. Critically, the Pyramid Platform operates directly on any data, enabling governed self-service for any person; and meeting analytical needs in a no-code environment without data extraction, ingestion, and duplication. It combines data prep, business analytics, and data science into one frictionless platform to empower anyone with intelligent decision-making. This enables a strategic, enterprise-wide approach to business intelligence and analytics, from the simple to the sophisticated. Schedule a demo today.
Pyramid Analytics is incorporated in Amsterdam and has regional headquarters in global innovation and business centers, including London, New York City, and Tel Aviv. Our team lives worldwide because geography should not hinder talent and opportunity. Investors include H.I.G. Growth Partners, Jerusalem Venture Partners (JVP), Sequoia Capital, and Viola Growth.
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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA SCIENCE
Businesswire | April 03, 2023
Dremio, the open and easy data lakehouse company, and Domo, a data experience platform innovator, announced a new partnership to expand access to critical data for better decision-making. Through a native data integration with Domo Cloud Amplifier, joint customers can easily connect to Domo to analyze data directly on the data lakehouse. Cloud Amplifier extends the capabilities of the data lakehouse and gives more data users access to critical data to gain insights and make better data-driven decisions.
"We are thrilled to work with Domo to bring our joint customers the best of both worlds," said Roger Frey, vice president of Alliances at Dremio. "With this new integration, Domo users can take full advantage of Dremio's data lakehouse capabilities, including fast and efficient querying, powerful data transformation and more."
The new Domo integration with Dremio will provide joint users with faster and more efficient data analysis capabilities. Customers can now query Dremio data sources and combine them with other data sources from across the organization, gaining a holistic view of their business performance.
“Domo’s mission is to put data to work for everyone so they can multiply their impact on the business. With our new native integration with Dremio, we're providing our joint customers with access to even more data sources and capabilities, with the speed, scale and security needed to drive business forward," said Matthew Payne, vice president of Engineering at Domo.
About Dremio
Dremio is the easy and open data lakehouse, providing self-service analytics with data warehouse functionality and data lake flexibility across all of your data. Use Dremio's lightning-fast SQL query service and any other processing engine on the same data. Dremio increases agility with a revolutionary data-as-code approach that enables Git-like data experimentation, version control, and governance. In addition, Dremio eliminates data silos by enabling queries across data lakes, databases, and data warehouses, and by simplifying ingestion into the lakehouse. Dremio's fully managed service helps organizations get started with analytics in minutes, and automatically optimizes data for every workload. As the original creator of Apache Arrow and committed to Arrow and Iceberg’s community-driven standards, Dremio is on a mission to reinvent SQL for data lakes and meet customers where they are on their lakehouse journey.
Hundreds of global enterprises like JPMorgan Chase, Microsoft, Regeneron, and Allianz Global Investors use Dremio to deliver self-service analytics on the data lakehouse. Founded in 2015, Dremio is headquartered in Santa Clara. CNBC recognized Dremio as a Top Startup for the Enterprise and Deloitte named Dremio to its 2022 Technology Fast 500.
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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA SCIENCE
Prnewswire | May 17, 2023
Crux, a pioneer in the external data integration, transformation, and observability space, today announced the launch of the Crux External Data Platform ("EDP"), the first SaaS offering that enables enterprises to automate the onboarding of any external dataset directly from vendors into their organization, driving better, faster decisions. The new self-service cloud platform allows data teams to onboard and transform external data for analytics use up to ten times faster than traditional manual methods.
"The Crux External Data Platform is truly transformative," said Will Freiberg, CEO of Crux. "Just as the cloud made it possible for enterprises to reduce infrastructure and maintenance costs, consolidate on-premises data warehouses, scale on-demand, and immediately access key resources, the Crux platform removes critical pre-processing bottlenecks, empowering data engineers to onboard external data products into their data warehouse or cloud analytics environments in minutes."
External data from governments, non-profits, and commercial data vendors is a critical business resource in many sectors such as finance, supply chain, retail, healthcare, and insurance. Crux has partnerships with over 265 leading data providers including MSCI, Moody's, S&P, SIX, FactSet, and Morningstar.
Crux builds data pipelines at scale, offering enterprises the ability to ingest any custom data source, and operates more than 60,000 pre-engineered pipelines to deliver external datasets in a data science and analytics-ready format. Now, Crux is making its robust capabilities directly available to data engineers with the Crux External Data Platform. Through its multi-tenant, secure SaaS platform, Crux ensures data is delivered reliably with protected, role-based access and customizable operations applicable to data products, connections, notification policies, users, and system wide settings. The platform reduces the need for expensive infrastructure and increases of velocity of data engineering teams. Additionally, EDP presents customers with one centralized data hub for visibility into the health and performance of their organization's catalog of external data pipelines. With intuitive automation and pattern recognition, data teams can immediately select and access new datasets, minimizing the time and effort required to access new data for faster insights.
According to a Gartner® report, "The increased adoption of cloud as a data platform has exacerbated existing challenges with application time to market, data quality and integration issues, analytics shortfalls, poor performance, and cost management. Data professionals are turning to artificial intelligence (AI)- and machine learning (ML) driven automation in hopes of better optimizing these data management (DM) related areas."1
Early customers, including Two Sigma and Goldman Sachs, are leveraging the platform's advanced AI and ML capabilities to automate and streamline data workflows, decreasing the need for manual intervention and improving accuracy. With robust security and governance features, the platform ensures data is handled in a compliant and secure manner.
"Managing external data is a special kind of hard," said Dan Lynn, SVP of Products. "Now, Crux provides the industry's first self-service SaaS platform for data integration, transformation, and observability that is specifically designed to tackle the unique challenges of external data. It's an opportunity for data engineers to flip the ratio from 70% of time spent preparing data to 70% of time driving higher value analytics and insights."
"Integrating, transforming, and absorbing data into our pipelines is a key focus for us," said Jeff Wecker, CTO, Two Sigma. "Crux's EDP product launch will help us scale the capacity of our data pipelining activities, delivering a quicker path to high-quality data sets and faster access to systematic data-driven insights for our researchers."
"We are excited to have collaborated with Crux in shaping their product roadmap and helping drive towards the launch of Crux's new EDP offering," said Abhishek Narang, Managing Director & Tech Fellow, Data Engineering at Goldman Sachs. "Leveraging Crux in our Data Engineering framework and the Legend Platform at Goldman Sachs has further reduced the time-to-value of our third-party data assets, helping to enable us to operate more efficiently and best serve clients. With the launch of EDP, it is satisfying to see so much of the work we have accomplished together now mechanized in an easily accessible self-service product offering."
About Crux
Crux is a cloud-based data integration, transformation, and operations platform that accelerates the value realization between external and internal data. Crux partners with our customers to ensure they get the data they need, how they need it and where they need it. Its team builds data pipelines at scale and operates over 60K pre-engineered pipelines, delivering public and external datasets to the destination of choice. Crux pipelines come with embedded data monitoring, validations, and transformations, and are supported 24/7 by our global operations team. Crux was awarded a Google Cloud Customer Award in 2021 in the Cross-Industry category. Crux works with enterprise clients and is backed by Two Sigma, Goldman Sachs, Morgan Stanley, and Citi, among others.
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