Quantexa's Latest Decision Intelligence Platform Roadmap Focuses on Helping Companies and Government Agencies Prepare Data for AI
March 15, 2024, 6:22 pm
PassFort, a Moody's Analytics company
Location: United Kingdom, England, London
Employees: 10001+
Founded date: 1909
Quantexa supports a growing wave of organizations using data, analytics, and AI to break down silos. The partnership with Microsoft makes Quantexa's Decision Intelligence Platform immediately available on the Microsoft Azure Marketplace; the company commits to building native solutions on Azure. A technology preview demonstrates Quantexa's ambitious plan to accelerate the adoption of the platform, solution, and generative AI among business users, data professionals, and IT. Lighthouse customers are moving towards early adoption of the generative AI assistant, Q Assist™.
LONDON, March 14, 2024 (GLOBE NEWSWIRE) -- Quantexa, a global leader in decision intelligence solutions for the public and private sectors, used the QuanCon24, its annual conference for customers and partners, as a backdrop to unveil the roadmap of its Decision Intelligence Platform and provide an update on Q Assist, a generative artificial intelligence (AI) assistant previewed last July. Quantexa also announced a partnership with Microsoft. Dan Higgins, Quantexa's Chief Product Officer, joined Kate Rosenshine, Microsoft's Global Technology Director of Strategic Partnerships, to announce the immediate availability of Quantexa's Decision Intelligence Platform on the Microsoft Azure Marketplace and plans to provide a new cloud-native AI solution to mid-sized banks in the United States.
Focusing on Innovation and New Capabilities
Quantexa's ambitious plan to lead the emerging decision intelligence category focuses on helping companies and government agencies use contextual analytics and AI to improve organizational decision-making. Quantexa emphasizes practical real-world applicability today, with an eye towards helping customers implement technology in the future. Gartner® estimates that "by 2027, 75% of new analytical content will be contextualized by intelligent applications through generative AI, enabling a constructive link between insights and actions."*
As part of Quantexa's growth strategy, the company showcased its platform's ability to use AI to build a reliable data foundation and enhance existing decision-making processes, seamlessly integrating with customers' existing technology infrastructure. Dan Higgins, Quantexa's Chief Product Officer, stated, "Regarding Quantexa's technology roadmap, we are guided by the needs and leadership ambition of our customers in decision intelligence. This requires us to help our customers break down organizational silos to build a reliable data foundation, automate and enhance decision-making, and support continuous evaluation and improvement throughout decision-making processes. With the introduction of new capabilities and solutions, we remain firmly focused on innovation that helps organizations protect, optimize, and grow."
Quantexa Highlights Four Key Pillars of the Roadmap
Strengthening Human/AI Decision-Making: Quantexa continues to pioneer solutions and tools that enable the use of multiple data sources and AI to automate business decision logic across various applications. Quantexa is updating its platform with enhanced workflow capabilities, including new customizable scoring, alerts, and decision models. Quantexa launched new case management capabilities on its platform and an update to the early adoption of Q Assist, being deployed by customers in the banking, telecommunications, and government sectors in pilot programs to address financial crime, fraud, and risk, as well as to identify new revenue opportunities with customer intelligence.
Operating Data at Scale with AI and Contextual Analytics: Quantexa's ability to help customers build a reliable data foundation and obtain single customer views remains the primary driver for platform adoption. To address growing demand and industry complexities, Quantexa showcased advancements in data management, contextual analytics, and AI capabilities. Quantexa previewed the ability to go beyond news intelligence to support the ingestion and analysis of any unstructured data sources through entity resolution and provide customers with the ability to enable large-scale graph analysis and graph machine learning by combining large language models (LLMs) and knowledge graphs.
Accelerating Time-to-Value through Simplified Deployments and Packaged Solutions: Quantexa announced new options to make it easier for customers and partners to streamline with new deployment methods, including the introduction of "ready-to-use" configurations, as well as low or no-code tools. This year, Quantexa is also investing in its growing partner ecosystem, which includes PWC, EY, Dun & Bradstreet, K
LONDON, March 14, 2024 (GLOBE NEWSWIRE) -- Quantexa, a global leader in decision intelligence solutions for the public and private sectors, used the QuanCon24, its annual conference for customers and partners, as a backdrop to unveil the roadmap of its Decision Intelligence Platform and provide an update on Q Assist, a generative artificial intelligence (AI) assistant previewed last July. Quantexa also announced a partnership with Microsoft. Dan Higgins, Quantexa's Chief Product Officer, joined Kate Rosenshine, Microsoft's Global Technology Director of Strategic Partnerships, to announce the immediate availability of Quantexa's Decision Intelligence Platform on the Microsoft Azure Marketplace and plans to provide a new cloud-native AI solution to mid-sized banks in the United States.
Focusing on Innovation and New Capabilities
Quantexa's ambitious plan to lead the emerging decision intelligence category focuses on helping companies and government agencies use contextual analytics and AI to improve organizational decision-making. Quantexa emphasizes practical real-world applicability today, with an eye towards helping customers implement technology in the future. Gartner® estimates that "by 2027, 75% of new analytical content will be contextualized by intelligent applications through generative AI, enabling a constructive link between insights and actions."*
As part of Quantexa's growth strategy, the company showcased its platform's ability to use AI to build a reliable data foundation and enhance existing decision-making processes, seamlessly integrating with customers' existing technology infrastructure. Dan Higgins, Quantexa's Chief Product Officer, stated, "Regarding Quantexa's technology roadmap, we are guided by the needs and leadership ambition of our customers in decision intelligence. This requires us to help our customers break down organizational silos to build a reliable data foundation, automate and enhance decision-making, and support continuous evaluation and improvement throughout decision-making processes. With the introduction of new capabilities and solutions, we remain firmly focused on innovation that helps organizations protect, optimize, and grow."
Quantexa Highlights Four Key Pillars of the Roadmap
Strengthening Human/AI Decision-Making: Quantexa continues to pioneer solutions and tools that enable the use of multiple data sources and AI to automate business decision logic across various applications. Quantexa is updating its platform with enhanced workflow capabilities, including new customizable scoring, alerts, and decision models. Quantexa launched new case management capabilities on its platform and an update to the early adoption of Q Assist, being deployed by customers in the banking, telecommunications, and government sectors in pilot programs to address financial crime, fraud, and risk, as well as to identify new revenue opportunities with customer intelligence.
Operating Data at Scale with AI and Contextual Analytics: Quantexa's ability to help customers build a reliable data foundation and obtain single customer views remains the primary driver for platform adoption. To address growing demand and industry complexities, Quantexa showcased advancements in data management, contextual analytics, and AI capabilities. Quantexa previewed the ability to go beyond news intelligence to support the ingestion and analysis of any unstructured data sources through entity resolution and provide customers with the ability to enable large-scale graph analysis and graph machine learning by combining large language models (LLMs) and knowledge graphs.
Accelerating Time-to-Value through Simplified Deployments and Packaged Solutions: Quantexa announced new options to make it easier for customers and partners to streamline with new deployment methods, including the introduction of "ready-to-use" configurations, as well as low or no-code tools. This year, Quantexa is also investing in its growing partner ecosystem, which includes PWC, EY, Dun & Bradstreet, K