Modernizing Technology Architecture and Delivery

Artificial Intelligence (AI) has become a game-changer in today’s technology landscape, promising transformative experiences for businesses and their customers. However, to harness its full potential, organizations need to adopt an AI-First mindset when it comes to data. Here are compelling reasons why you should delve into this whitepaper:

Embracing AI-First Transformation

In an era of rapid digital transformation, AI is at the forefront of innovation. To succeed in delivering AI-enabled experiences, organizations must shift their data strategies from traditional models to ones that prioritize Machine Learning (ML) and distributed data models. This fundamental shift is the cornerstone of AI-First transformation.

The Forrester Connected Intelligence Framework

The whitepaper introduces the Forrester Connected Intelligence Framework, which identifies eight key aspects of an AI-First data strategy. These aspects are essential for mastering the ever-changing nature of data in AI applications and for delivering the innovative experiences that customers demand.

Three Key Priorities for Transformation

To make this shift, the whitepaper outlines three key priorities: Practices, Partnerships, and Platforms. These priorities are pivotal in realigning data management strategies and investments to meet the demands of an AI-driven world. They emphasize moving away from traditional data storage and centralization towards dynamic data capture and delivery.

Continuous Integration and Continuous Delivery (CI/CD)

The whitepaper discusses the need to restructure practices, enabling faster, more contextual, and sophisticated AI capabilities. This involves bringing together data and data science communities, expanding their roles into DevOps, and addressing emerging privacy and ethical AI concerns.

Embracing Partnership Pods

Collaboration with internal and external experts is crucial. This could mean closer collaboration between data teams and business counterparts, as well as partnerships with software and service providers. Working together to build, test, and publish data and analytics products is key to AI-First success.

Expanding Beyond Databases

Traditional data lakes and data warehouses are no longer sufficient. The whitepaper explores the adoption of data mesh, real-time solutions, and software-defined data networks that activate data and ML models seamlessly in the application architecture.

The Connected Intelligence Framework

To effectively deliver transformative AI-based experiences, the roles involved in data tasks must expand their responsibilities and share accountability for outcomes. The Connected Intelligence Framework outlines these roles and the activities required to transform your data strategy to an AI-First mindset.

Eight Phases of an AI-First Data Strategy

The whitepaper provides a high-level perspective on each of the eight phases in the Connected Intelligence Framework. It offers insights into discovering, sourcing, capturing, ingesting, curating, modeling, transforming, preparing, testing, training, delivering, deploying, executing, observing, and evaluating data for AI.

A New Vision for AI

Lastly, the whitepaper challenges organizations to envision AI as more than just a chatbot or language processor. It encourages embracing connected intelligence to bridge business silos and create holistic experiences across all touchpoints and channels. In summary, this whitepaper is a valuable resource for organizations looking to unlock the potential of AI through an AI-First data strategy. By understanding the framework, priorities, and phases outlined in this paper, you can pave the way for a successful AI-First transformation and deliver exceptional AI-enabled experiences to your customers and employees.

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Modernizing Technology Architecture and Delivery