Artificial Intelligence and Data Compatibility—Perfect Together

0 March 19, 2018

Artificial Intelligence(AI) and Data Compatibility are perfect together because Data Compatibility provides exactly the data foundation needed to support modern technologies such as AI.

A recent article in Forbes stated: “While AI tools can improve, automate, and enhance, they can’t fix the most significant problem enterprises continue to have: fragmented, siloed data.” Data compatibility done right obliterates data fragmentation by delivering Universally Interoperable Datasets within a Modular Data Fabric. This Single Source of Truth data foundation fabric can dynamically unify any of your data on demand. Also, data compatibility improves the data quality of each dataset with data content enrichment, data standardization, and comprehensive data integrity.

The Compatible Data Foundation Unifies Your Datasets

Maxxphase Data Compatibility is redefining the world of information technology. Disparate, siloed datasets form the current fragmented data foundation for IT. These disparate datasets lack enforcement of data integrity between datasets. Therefore, lacking data integrity, these datasets lack universal dataset interoperability and cannot be unified directly. On the other hand, Maxxphase’s Data Compatibility Standards enrich disparate datasets to become universally interoperable, spontaneously forming a Modular Data Fabric. By repairing the fragmented data foundation, you can now seamlessly join and unify data from any Universally Interoperable Datasets on demand. This seamless data foundation is precisely what is needed for AI.

Compatible Datasets Provide Quality Data You Can Trust

According to a recent Forbes article, “It’s a simple equation: Trusted AI can only emerge from trusted data.” Our Data Compatibility Methods promote the proactive improvement of data quality throughout the Modular Data Fabric. Adding Data Compatibility Standards to each dataset opens the door to a shared Universally Interoperable Dataset of curated golden records data content. The shared curated dataset enriches, by inheritance, every Universally Interoperable Dataset with a single source of high-quality data that is consistent, accurate, and complete. AI becomes more powerful as you add more compatible high-quality data content.

The Compatible Data Foundation – Your Only Logical Choice for AI/ML

You now have two data foundation options for supporting AI/ML: the compatible data foundation or the disparate data foundation. In the disparate data foundation, disparate datasets are isolated and fragmented, and data quality deficiencies are present, as stated in the Forbes article referenced previously. Traditional efforts to integrate disparate datasets and correct data quality issues typically entail many person-years of effort and multiple millions of dollars in cost.

Imagine the power of an AI application that could learn from these unified Universally Interoperable Datasets. Data Compatibility provides a seamless dataset environment where every bit of information is collaborating to improve the power of AI. A recent Forbes article states, “The most immediate benefit of artificial intelligence (AI) for business is increasingly clear: it’s a huge opportunity for increased productivity.” Of course, increased productivity translates to business advantage. Ultimately, your AI-related business advantages all depend on the type of data foundation you use.