In today’s fast-paced technology-driven world, real-time access to relevant, accurate information is the surest way to meaningful business decision making. As the saying goes “knowledge is power,” and technologies like artificial intelligence (AI) and machine learning (ML) are increasingly being implemented to provide data-driven insights and support business goals.
Yet in the rush towards adoption, organizations often fail to take important preliminary steps and set the foundation necessary for success. To reap the benefits of new technologies, the data fueling them must be in a usable format. In this way, the rapid adoption of generative AI has underscored the need to improve data and its usability.
Challenges with Data
As the volume of data proliferates, so do challenges associated with storing, securing, and managing it. Many organizations find themselves struggling to implement new innovations within the constraints of their existing systems and architecture, which were not designed to handle the large, disparate datasets that comprise today’s business landscape. Existing infrastructures are often ill-equipped to power emerging technologies, posing a variety of data-related challenges:
The Imperative of Data Modernization
While emerging technologies like artificial intelligence hold immense power, without the proper framework they may fail to generate expected insights or return on investment. Before jumping into an AI implementation, it’s essential your organization’s systems and data are optimized to fully support the new capabilities. The best way to do this is through data modernization.
What is Data Modernization?
Data Modernization refers to the multi-step process of transforming and optimizing large volumes of accumulated data to be more accessible, usable, and thus valuable. The data can then feed into AI (and related tools) to provide meaningful insights, drive decision-making, and produce business results. Data modernization encompasses a variety of activities including data migration, consolidation, cleansing and transformation, which, in turn, reinforces the elimination of data silos and enables real-time digital streaming and insights.
Data Modernization and AI
It’s no longer enough for organizations to possess data. To remain competitive, they must also be able to store, process, and utilize the data in highly effective ways. Yet oftentimes, there’s a gap in the between AI’s potential and its reality. According to one recent report, 40% of leaders are struggling to demonstrate ROI from AI models.
For organizations wanting to maximize the benefit gained from an AI implementation, data modernization can improve productivity, enable innovation, and pave the way for competitive advantage. It’s an important – if not essential – step in future-proofing your organization’s infrastructure. While data modernization can unlock business insights on its own, the power of data increases exponentially with the introduction of AI.
Getting AI Ready with Data Modernization
In some industries it’s becoming all but imperative that leaders harness the powers of AI and generative AI to analyze the vast amounts of data they are accumulating, support the creation of new content, and bolster cybersecurity. Data modernization opens the door to successful AI integration, and is thus becoming a strategic necessity for any organization looking to innovate and keep pace through new technologies.
Beginning with an “AI ready” data platform can have a significant impact on how effectively your organization can make use of information and the return you see. When it comes to data modernization there is no one-size-fits-all solution; strategy will vary depending on your organization’s existing systems, needs, and goals. It may involve a migration, building a data lakehouse, implementing new data governance protocols, or some combination.
Ntirety has over 25 years of experience solving the toughest data problems and meeting compliance needs in a variety of private, public, and hybrid cloud environments. Our deep expertise across data platforms – coupled with experience with data lakehouse and warehouse transformations – provide seamless integration and optimization of your most valuable asset.
Ready to learn how Ntirety’s Data Modernization Services can empower your organization and support your journey to successful AI integration? Schedule a Consultation Today.
