Matrix USA Launches Unified Data and AI Practice to Address…
Matrix USA has introduced a new global business unit focused on data and artificial intelligence services as companies across multiple industries attempt to expand the use of AI technologies in production environments. The initiative consolidates the company’s existing data, analytics and digital transformation capabilities into a single practice known as Matrix USA Data Services.
The company stated that the new structure aims to help enterprises overcome operational and governance barriers that frequently slow the adoption of artificial intelligence initiatives. The practice will target sectors including construction, consumer packaged goods, financial services, insurance and healthcare.
The announcement reflects a broader industry trend in which consulting and technology firms reorganize internal expertise around artificial intelligence implementation as demand for enterprise AI infrastructure continues to increase.
Enterprise AI Projects Often Struggle to Reach Production
The launch comes amid persistent challenges faced by organizations attempting to operationalize artificial intelligence systems. Industry research indicates that many AI projects do not move beyond experimental phases.
According to research cited by the company, approximately 85 percent of AI initiatives fail to reach full production environments. Analysts attribute these outcomes to fragmented data infrastructure, unclear governance frameworks and attempts to scale AI systems before underlying data foundations are prepared.
Organizations frequently begin AI initiatives through isolated pilot projects, but difficulties arise when those systems must integrate with enterprise data architecture and operational processes.
The new Matrix practice is intended to address these issues by providing integrated services covering the entire lifecycle of AI deployment.
Integrated Services for Data Infrastructure and AI Deployment
Matrix USA Data Services will provide a range of services designed to support enterprise data architecture and artificial intelligence initiatives.
The practice includes capabilities related to data engineering, advanced analytics, machine learning development, cloud architecture and digital transformation programs.
Organizations working with the group may also receive guidance on system implementation and enterprise data governance frameworks.
Among the offerings announced by the company is an AI Readiness Blueprint designed to help organizations assess their existing data infrastructure and identify priorities for AI adoption.
The practice will also provide an AI Governance Workshop aimed at defining ownership structures and decision-making processes for AI systems within organizations.
Other services include the design and migration of cloud-based data platforms, as well as the development of data products and generative AI workflows.
Enterprises increasingly require structured data environments before they can deploy machine learning models or generative AI tools at scale.
Without centralized data management and governance frameworks, AI systems may struggle to access reliable information or produce consistent outputs.
Leadership Highlights Organizational Approach
Lior Blik, Chief Executive Officer of Matrix USA and Magic Software, commented that companies often face pressure to adopt AI technologies without the infrastructure required to scale them effectively.
Lior Blik, Chief Executive Officer of Matrix USA and Magic Software, commented, “Organizations feel the pressure to adopt AI but many lack the capabilities to scale it effectively.”
He stated that the company’s previous work with enterprise clients influenced the decision to create a unified practice.
Lior Blik, Chief Executive Officer of Matrix USA and Magic Software, commented, “Our success and growth in delivering impactful AI solutions over the years led us to formalize this effort as Matrix Data Services.”
The practice will operate under the leadership of Gil Rozen, Vice President for Data and AI at the company.
Gil Rozen, Vice President for Data and AI at Matrix USA, commented on the expansion of the firm’s AI initiatives.
Gil Rozen, Vice President for Data and AI at Matrix USA, commented, “In 2025, we successfully scaled our global AI practice and delivered results for industry leaders.”
He stated that the unified structure will bring together specialized expertise to support enterprise transformation projects.
Gil Rozen, Vice President for Data and AI at Matrix USA, commented, “Now, we're doubling down, combining elite talent and emerging tech to help our clients unlock real business value and scale with confidence.”
Demand for AI Consulting Services Continues to Rise
Technology consulting firms have expanded artificial intelligence service offerings as enterprises across industries attempt to incorporate AI into operational workflows.
Financial services firms use machine learning models to analyze transaction data, detect fraud and evaluate credit risk.
Healthcare organizations employ AI tools for data analysis, medical imaging and operational planning.
Consumer goods companies analyze supply chains and customer behavior through predictive analytics systems.
Construction and infrastructure companies increasingly rely on data platforms to manage project planning and logistics.
Despite these applications, many organizations encounter difficulties when attempting to scale AI systems across entire enterprises.
Successful AI adoption often depends on establishing unified data architectures, clear governance frameworks and consistent operational processes.
Consulting firms therefore focus on building the data infrastructure that supports machine learning models and analytical systems.
The Matrix initiative reflects this approach by combining data engineering, analytics and AI development capabilities into a single global practice.
Global Expansion of Data and AI Services
The new practice aligns with the company’s broader international operations. Matrix operates in more than 40 countries and employs approximately 18,000 people worldwide.
The firm has delivered more than one thousand technology projects across industries including financial services, healthcare, retail and construction.
Technology partnerships also play a role in the company’s AI and data initiatives. The firm collaborates with technology providers including Databricks and Dataiku in delivering data platform solutions and machine learning infrastructure.
Under the new organizational structure, the company plans to align its global data and AI expertise under the office of Chief Operating Officer Anshul Arora.
The move consolidates previously distributed teams into a unified practice focused on delivering enterprise data architecture and artificial intelligence implementation services.
As enterprises continue to explore generative AI and advanced analytics technologies, consulting firms are increasingly positioning themselves as partners that can guide organizations through the operational complexities of large-scale AI deployment.
Takeaway
Matrix USA has created a unified global practice called Matrix USA Data Services that consolidates the company’s data, analytics and AI expertise. The initiative focuses on helping enterprises build data infrastructure, governance frameworks and cloud platforms needed to deploy artificial intelligence systems at scale. The move reflects growing demand among organizations seeking to move AI initiatives from experimental projects into full operational environments.
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