The DBM provides technology-agnostic and business-facing employing engineering methodologies that remove data silos, establish SSOTs, and develop the necessary assets for GenAI/AI — fueling continuous innovation while ensuring security and compliance throughout the process.
Altimetrik announced the unveiling of its Digital Business Methodology (DBM) that leverages 10 years of experience in delivering outcomes and growth for customers. At the core of the DBM is the business taking the ownership and engagement which enables successful implementation of GenAI/AI. Altimetrik’s launching of its business-facing digital business brand is a unique and proven model within the industry.
To address current hurdles like adaptability issues with Gen AI/ AI language models for organisations, DBM, a business-facing holistic approach is necessary. It brings in the needed discipline within a cloud-agnostic ecosystem and is supported by simplified technology and end-to-end workflows. Empowering businesses to consolidate and analyse data from various sources with agility, at the sprint level, facilitates the convergence of data that supports intuition with market intelligence. Applying end-to-end business rules at each stage enhances understanding of language models, boosting productivity, operational rigor, and growth. By moving away from the current complex enterprise ecosystem to a business-facing model represents a simplified approach to technology that supports data, GenAI/AI, and business intuition.
“Our DBM represents the first proven approach to digital business in the market, empowering companies to foster collaboration and drive innovation, there is no other company that offers this today.” said Raj Vattikuti, Executive Chairman at Altimetrik. “I am excited with the launch of our unique digital business brand and take great pride in our team’s successful track record as a strategic partner to customers creating innovative solutions that drive growth.”
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The DBM is technology-agnostic and business-facing, employing engineering methodologies that remove data silos, establish SSOTs, and develop the necessary assets for GenAI/AI — fueling continuous innovation while ensuring security and compliance throughout the process. This engineering approach helps to ensure quality, security, and compliance that is auditable, and traceable. Data scientists and engineering teams work together to identify language models and algorithms related to their business intuition. Leveraging new data technologies such as Snowflake and Databricks, independent of the existing complex environments, creates valuable data, innovation, and AI/ML assets through a rigorous engineering approach.
Central to DBM is business taking ownership and engagement through a holistic, incremental approach that prioritises outcomes. Instead of relying on consultants that are focused on high-level strategy, practitioners simplify business cases and end-to-end workflows to establish a specific use case that integrates real-time data from various sources. This is achieved in a tool-agnostic environment, leveraging a combination of tools. Further, specific GenAI/AI language models and other algorithms drive significant productivity gains through smart interfaces and real-time interactions.
The DBM is enforced by a cloud agnostic Digital Business Platform (DBP) tailored to each customer’s environment yet operating independently from their existing complex and siloed infrastructure. This fully automated end-to-end platform empowers organisations to adopt automation seamlessly, ensuring outcomes are achieved with greater speed, consistency, and scale. With Altimetrik accelerators, implementation can be achieved within a very short time in the customer environment.
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