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TIBCO Accelerates Time-to-Insights with Revolutionary Enhancements to Analytics Portfolio

TIBCO | October 01, 2021

TIBCO Software Inc., a global leader in enterprise data, empowers its customers to connect, unify, and confidently predict business outcomes, solving the world's most complex data-driven challenges. Today, TIBCO announced a series of innovations to its Predict portfolio that reduce time to data-driven insights, fueling the pervasive use of analytics and data science capabilities. The product updates to TIBCO Spotfire®, TIBCO WebFOCUS®, TIBCO® Data Science, and TIBCO® Streaming create a critical link within the Hyperconverged Analytics experience, empowering organizations to better analyze data and predict their future.

“Organizations require insights at everyone’s fingertips, no matter where they are on their digital business journey. We designed all our latest enhancements to be immersive, smart, and real time, with an ongoing mission to help everyone leverage the limitless power of data, yielding insights at the speed of thought.”

Mark Palmer, senior vice president, engineering, TIBCO

Enhancements to the TIBCO Predict portfolio include the following:
  • TIBCO Spotfire: Spotfire® continues to unlock the developer community’s creativity to customize its immersive, smart, real-time analytics engine with the TIBCO Spotfire® Mods framework, which enables the community to add new, rich visualizations to Spotfire. Spotfire® Data Functions extend the Mods framework, offering data functions, AI, and data science capabilities, helping data scientists put “the algorithm behind the button.” Finally, the integration between Spotfire and TIBCO® ModelOps, coming soon, allows citizen data scientists to quickly and easily augment decision-making with no-code management of AI/ML models.
  • TIBCO WebFOCUS: New cloud-native deployment capabilities add containerized deployment options and a managed cloud offering to support enterprise-wide scaling. In addition, the WebFOCUS® product upgrades provide users with enhanced authoring and assembly capabilities like filtering, styling, reporting, and app development in a single hub. This helps organizations find new ways to use AI/ML to augment data preparation, content creation, and collaboration.
  • TIBCO Data Science: TIBCO Data Science adds a range of cloud data sources, along with TIBCO® Data Virtualization integration, Spotfire interoperability, AutoML augmentations, native Spark pipelines, and improvements in collaborative teams’ user experience.
  • TIBCO Streaming: Continuous analytics provide real-time analytics, including patent-pending Dynamic Learning, available soon, which allows users to continuously learn and readjust predictions based on streaming data in real time. Streaming data connects to any streaming data, including no-code integration with TIBCO Cloud™ Messaging and TIBCO Data Virtualization.

“Our state-of-the-art ENDEAVOUR AI platform drives smarter, better, and more effective healthcare in Singapore,” said Dr. Kee Yuan Ngiam, group chief technology officer, National University Health System. “Operationalization of AI and ML models is essential for ENDEAVOUR AI to benefit more healthcare providers and their patients. Using TIBCO, we hot-deploy, manage, and govern various models, such as Python, in addition to workflows. We are also very excited to be an early trialist of TIBCO ModelOps. We expect it will accelerate the deployment of safe and effective AI-informed processes in a more scalable, containerized way.”

The full list of announcements made during the TIBCO NOW™ 2021 Predict track shows TIBCO's momentum in creating a comprehensive suite of analytics solutions, empowering users to turn data into insights.

About TIBCO
TIBCO Software Inc. unlocks the potential of real-time data for making faster, smarter decisions. Our Connected Intelligence platform seamlessly connects any application or data source; intelligently unifies data for greater access, trust, and control; and confidently predicts outcomes in real time and at scale.

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Data Visualization

Airbyte Integrates with Datadog for Superior Data Pipeline Management

Airbyte | September 11, 2023

Airbyte, the leading open-source data movement platform, has announced a strategic integration with Datadog, Inc., a prominent cloud application monitoring and security platform. This integration offers customers a comprehensive solution to monitor and analyze data pipelines with access to nearly 50 metrics, all at no additional cost. The integration between Airbyte Self-Managed and Datadog's data observability and security monitoring capabilities allows organizations to maintain a close watch on the health of their critical data pipelines. Key features of this integration include: A centralized overview of Airbyte data pipeline performance Real-time detection and immediate alerts for failing syncs or connections Notifications regarding long-running jobs, which could indicate potential latency issues Michel Tricot, CEO of Airbyte, emphasized the significance of this integration, stating, The new Datadog integration provides transparency and actionable insights, empowering users to optimize performance and ensure reliable data pipelines by proactively addressing potential data issues. [Source: Business Wire] Yrieix Garnier, Vice President of Product at Datadog, further elaborated on the benefits, explaining, Airbyte's data extraction and loading process involves numerous complex components. The integration with Datadog offers users peace of mind, enabling them to monitor data pipelines across their organization and troubleshoot any potential data integration workflow issues, ultimately ensuring data quality. [Source: Business Wire] This integration will be immediately available to users. Existing Datadog customers can configure their Airbyte deployments to send metrics to Datadog. For those not already using Datadog, a free trial is available. Similarly, users new to Airbyte can sign up for free. Airbyte continues its commitment to delivering robust data integration and analysis solutions to organizations. The Datadog integration represents a significant milestone in Airbyte's mission to empower businesses with efficient data integration capabilities. Airbyte simplifies data movement across various sources and destinations, making it accessible and cost-effective for enterprises. With the largest data engineering contributor community, boasting over 800 contributors as well as top-tier tools for connector development and maintenance, Airbyte remains at the forefront of the data integration landscape. About Airbyte Founded in 2020, Airbyte is an open-source platform for EL (T) that enables data teams to replicate data from various sources to different destinations. The company, which has raised $181 million in funding, believes in the power of open source to address data integration challenges and offers over 200 connectors for data syncing. Currently, it serves over 25,000 companies.

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PingCAP Attains Coveted AWS Data and Analytics Competency Status

PingCAP | September 13, 2023

On September 12, 2023, PingCAP, a prominent distributed SQL database provider, announced its attainment of the coveted Amazon Web Services (AWS) Data and Analytics Competency status. This prestigious designation underscores PingCAP's track record of successfully assisting customers in collecting, storing, governing, and analyzing data at any scale. The achievement of AWS Data and Analytics Competency signifies PingCAP as a distinguished member of the AWS Partner Network (APN), specializing in software solutions tailored to assist enterprises in embracing, developing, and deploying intricate projects on the AWS platform. This designation is reserved for APN members with extensive AWS proficiency who deliver solutions seamlessly within the AWS environment. Moreover, PingCAP has also secured AWS Service Ready designations for both AWS PrivateLink and Amazon Linux 2. The AWS Service Ready Program rigorously assesses AWS partner solutions for compatibility with specific AWS services. To obtain these accolades, PingCAP underwent meticulous technical evaluations of its product architecture, received references from customers, and provided product documentation. By harnessing AWS PrivateLink, customers gain access to a streamlined experience for connecting PingCAP TiDB Cloud with other AWS services and applications, ensuring heightened security and adaptable network configuration. AWS empowers organizations of all sizes with scalable, flexible, and cost-effective solutions, ranging from startups to global enterprises. In support of seamless integration and deployment of these solutions, AWS has instituted the AWS Competency Program, enabling customers to identify AWS Partners with profound industry acumen and expertise. Eddie Xu, Director of Cloud Alliances at PingCAP, commented, We are thrilled to achieve the AWS Data and Analytics Competency. Many of our customers have made long-term strategic investments to build their digital businesses on AWS. Being a part of this program reflects PingCAP's commitment to delivering a solution that meets security, compliance, and efficiency standards in support of our customers scaling their transactional workloads on AWS. [Source: Globe Newswire] About PingCAP PingCAP, headquartered in Silicon Valley, is the visionary behind TiDB, an advanced, open-source, distributed SQL database. This database powers modern applications, boasting a streamlined tech stack, elastic scalability, real-time analytics, and uninterrupted access to data—all unified within a singular database solution. These innovative capabilities liberate emerging enterprises from the complexities of data infrastructure management, allowing them to set their sights firmly on the future. Some of the world's leading businesses across the travel, technology, financial services, web3, and gaming sectors trust TiDB to manage their mission-critical workloads.

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Big Data Management

Reltio Set to Transform Data Management with AI-Powered MDM Solution

Reltio | September 20, 2023

Reltio, a leading modern data management solutions provider, has introduced an innovative AI-powered Master Data Management (MDM) solution. For over a decade, Reltio has been a pioneer in data management, offering a leading cloud-native SaaS MDM solution. The firm is poised to preview novel AI-driven capabilities tailored to meet the growing demand for delivering customers more insightful and timely intelligence powered by reliable data. Participants at the upcoming DataDriven23 conference, taking place from October 3 to 5 in Dallas, TX, will have the opportunity to directly engage with Reltio's innovations and witness how AI is poised to revolutionize MDM, enhancing the quality of data that shapes business outcomes. During the event, experts will showcase three pivotal AI-driven solution capabilities designed to drive remarkable 10X enhancements: Generative AI-driven Search and Data Visualizations: Powered by Reltio's AI-powered MDM platform, enterprises can swiftly pinpoint critical data segments and data visualizations to the Reltio UI, facilitated by a conversational interface powered by GenAI. This simplifies the process of data analysis within Reltio. Increased Data Steward Productivity: Harnessing the power of Machine Learning, Reltio's latest capabilities aim to further automate entity resolution and data quality management processes and enhance data precision while boosting data steward efficiency by 10X. Automated Predictions: Reltio's new AI-driven MDM platform empowers businesses to effortlessly anticipate key insights using propensity models. This aids in identifying crucial customer segments, thereby fostering higher customer acquisition and retention rates. Reltio remains committed to continuous investment in machine learning-based automation within Reltio's Connected Data Platform 2023.3. This includes the introduction of new features in entity resolution and data quality anomaly detection designed to expedite MDM implementations, fortify data unification, and elevate the productivity of data teams. About Reltio Reltio, a renowned leader in modern data management, believes steadfastly in the critical role of data in driving business achievements. The firm is well-known for its cutting-edge data management platform, which effortlessly integrates vital data from different sources into a unified repository of reliable information. This combination of pristine, interconnected, and actionable data empowers Reltio's esteemed clientele to enhance operational efficiency, mitigate risk, and foster sustainable growth. The solution has received praise and is utilized by prominent corporate brands across a wide range of sectors in over 140 countries.

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Big Data Management

Kinetica Redefines Real-Time Analytics with Native LLM Integration

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. About Kinetica 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.

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Airbyte Integrates with Datadog for Superior Data Pipeline Management

Airbyte | September 11, 2023

Airbyte, the leading open-source data movement platform, has announced a strategic integration with Datadog, Inc., a prominent cloud application monitoring and security platform. This integration offers customers a comprehensive solution to monitor and analyze data pipelines with access to nearly 50 metrics, all at no additional cost. The integration between Airbyte Self-Managed and Datadog's data observability and security monitoring capabilities allows organizations to maintain a close watch on the health of their critical data pipelines. Key features of this integration include: A centralized overview of Airbyte data pipeline performance Real-time detection and immediate alerts for failing syncs or connections Notifications regarding long-running jobs, which could indicate potential latency issues Michel Tricot, CEO of Airbyte, emphasized the significance of this integration, stating, The new Datadog integration provides transparency and actionable insights, empowering users to optimize performance and ensure reliable data pipelines by proactively addressing potential data issues. [Source: Business Wire] Yrieix Garnier, Vice President of Product at Datadog, further elaborated on the benefits, explaining, Airbyte's data extraction and loading process involves numerous complex components. The integration with Datadog offers users peace of mind, enabling them to monitor data pipelines across their organization and troubleshoot any potential data integration workflow issues, ultimately ensuring data quality. [Source: Business Wire] This integration will be immediately available to users. Existing Datadog customers can configure their Airbyte deployments to send metrics to Datadog. For those not already using Datadog, a free trial is available. Similarly, users new to Airbyte can sign up for free. Airbyte continues its commitment to delivering robust data integration and analysis solutions to organizations. The Datadog integration represents a significant milestone in Airbyte's mission to empower businesses with efficient data integration capabilities. Airbyte simplifies data movement across various sources and destinations, making it accessible and cost-effective for enterprises. With the largest data engineering contributor community, boasting over 800 contributors as well as top-tier tools for connector development and maintenance, Airbyte remains at the forefront of the data integration landscape. About Airbyte Founded in 2020, Airbyte is an open-source platform for EL (T) that enables data teams to replicate data from various sources to different destinations. The company, which has raised $181 million in funding, believes in the power of open source to address data integration challenges and offers over 200 connectors for data syncing. Currently, it serves over 25,000 companies.

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PingCAP Attains Coveted AWS Data and Analytics Competency Status

PingCAP | September 13, 2023

On September 12, 2023, PingCAP, a prominent distributed SQL database provider, announced its attainment of the coveted Amazon Web Services (AWS) Data and Analytics Competency status. This prestigious designation underscores PingCAP's track record of successfully assisting customers in collecting, storing, governing, and analyzing data at any scale. The achievement of AWS Data and Analytics Competency signifies PingCAP as a distinguished member of the AWS Partner Network (APN), specializing in software solutions tailored to assist enterprises in embracing, developing, and deploying intricate projects on the AWS platform. This designation is reserved for APN members with extensive AWS proficiency who deliver solutions seamlessly within the AWS environment. Moreover, PingCAP has also secured AWS Service Ready designations for both AWS PrivateLink and Amazon Linux 2. The AWS Service Ready Program rigorously assesses AWS partner solutions for compatibility with specific AWS services. To obtain these accolades, PingCAP underwent meticulous technical evaluations of its product architecture, received references from customers, and provided product documentation. By harnessing AWS PrivateLink, customers gain access to a streamlined experience for connecting PingCAP TiDB Cloud with other AWS services and applications, ensuring heightened security and adaptable network configuration. AWS empowers organizations of all sizes with scalable, flexible, and cost-effective solutions, ranging from startups to global enterprises. In support of seamless integration and deployment of these solutions, AWS has instituted the AWS Competency Program, enabling customers to identify AWS Partners with profound industry acumen and expertise. Eddie Xu, Director of Cloud Alliances at PingCAP, commented, We are thrilled to achieve the AWS Data and Analytics Competency. Many of our customers have made long-term strategic investments to build their digital businesses on AWS. Being a part of this program reflects PingCAP's commitment to delivering a solution that meets security, compliance, and efficiency standards in support of our customers scaling their transactional workloads on AWS. [Source: Globe Newswire] About PingCAP PingCAP, headquartered in Silicon Valley, is the visionary behind TiDB, an advanced, open-source, distributed SQL database. This database powers modern applications, boasting a streamlined tech stack, elastic scalability, real-time analytics, and uninterrupted access to data—all unified within a singular database solution. These innovative capabilities liberate emerging enterprises from the complexities of data infrastructure management, allowing them to set their sights firmly on the future. Some of the world's leading businesses across the travel, technology, financial services, web3, and gaming sectors trust TiDB to manage their mission-critical workloads.

Read More

Big Data Management

Reltio Set to Transform Data Management with AI-Powered MDM Solution

Reltio | September 20, 2023

Reltio, a leading modern data management solutions provider, has introduced an innovative AI-powered Master Data Management (MDM) solution. For over a decade, Reltio has been a pioneer in data management, offering a leading cloud-native SaaS MDM solution. The firm is poised to preview novel AI-driven capabilities tailored to meet the growing demand for delivering customers more insightful and timely intelligence powered by reliable data. Participants at the upcoming DataDriven23 conference, taking place from October 3 to 5 in Dallas, TX, will have the opportunity to directly engage with Reltio's innovations and witness how AI is poised to revolutionize MDM, enhancing the quality of data that shapes business outcomes. During the event, experts will showcase three pivotal AI-driven solution capabilities designed to drive remarkable 10X enhancements: Generative AI-driven Search and Data Visualizations: Powered by Reltio's AI-powered MDM platform, enterprises can swiftly pinpoint critical data segments and data visualizations to the Reltio UI, facilitated by a conversational interface powered by GenAI. This simplifies the process of data analysis within Reltio. Increased Data Steward Productivity: Harnessing the power of Machine Learning, Reltio's latest capabilities aim to further automate entity resolution and data quality management processes and enhance data precision while boosting data steward efficiency by 10X. Automated Predictions: Reltio's new AI-driven MDM platform empowers businesses to effortlessly anticipate key insights using propensity models. This aids in identifying crucial customer segments, thereby fostering higher customer acquisition and retention rates. Reltio remains committed to continuous investment in machine learning-based automation within Reltio's Connected Data Platform 2023.3. This includes the introduction of new features in entity resolution and data quality anomaly detection designed to expedite MDM implementations, fortify data unification, and elevate the productivity of data teams. About Reltio Reltio, a renowned leader in modern data management, believes steadfastly in the critical role of data in driving business achievements. The firm is well-known for its cutting-edge data management platform, which effortlessly integrates vital data from different sources into a unified repository of reliable information. This combination of pristine, interconnected, and actionable data empowers Reltio's esteemed clientele to enhance operational efficiency, mitigate risk, and foster sustainable growth. The solution has received praise and is utilized by prominent corporate brands across a wide range of sectors in over 140 countries.

Read More

Big Data Management

Kinetica Redefines Real-Time Analytics with Native LLM Integration

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. About Kinetica 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.

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