First, a coherent operating model that unifies data management, analytics and investment processes – supported by strategic partnerships – enables investment managers to effectively navigate ...

To achieve their ambitions, organizations need an operating model that engages ... actionable data and baselines, an automation framework, rapid delivery cycles, and a repeatable out-of-cycle ...

Redbird, formerly known as Cube Analytics, serves as an analytics operating system by connecting all of an organization’s data sources into ... an enterprise SaaS model, with usage-based license ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Data mesh is a hot topic in the data and analytics community.

It can help with better operating ... of data analytics, many have yet to achieve full implementation maturity. To help understand this, Gartner has detailed five levels in its maturity model ...

Vast Data said its platform is now capable of federating massive AI clusters for real-time data analytics and agentic workflows operating at ... together reasoning models, data tools and ...

As a key element of the new operating model, Andrews has introduced “business success teams,” each dedicated to a different line of business to work alongside leaders of foundational IT ...

Autonomous AI agents are emerging as a pivotal force, transforming data operations from traditional retrospective analysis into proactive intelligence systems. Mahesh Kumar Goya is at the forefront of ...

Organisations’ AI strategy and operating model are being driven by chief data and analytics officers (CDAOs ... the CDAO orchestrates essential connections to ensure effective delivery. They embed D&A ...

The new operating model "is still coming into its own," says ... Provide specific products and services to you, such as portfolio management or data aggregation. Develop and improve features ...