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 directly interoperable 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 providing plug-and-play direct interoperability across datasets. This data foundation comprises modular datasets that can dynamically unify 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 Standards are redefining the world of information technology. Disparate, siloed datasets form the current data foundation for IT. These disparate datasets lack enforcement of data integrity between datasets. Therefore, lacking data integrity, the datasets lack direct dataset interoperability and cannot be directly unified. On the other hand, Maxxphase’s Data Compatibility Standards enrich disparate datasets to become compatible, forming a Compatible Data Foundation. The Compatible Data Foundation features comprehensive data integrity enforcement. This enforcement results in direct dataset interoperability throughout the Compatible Data Foundation. You can seamlessly unify data from compatible datasets on demand.

We designed our Data Compatibility Standards to encapsulate any dataset noninvasively. Our dataset encapsulation adds standardized dataset connectors to each dataset, resulting in a modular plug-and-play dataset. You can now seamlessly unify any compatible datasets on demand. Because of its direct dataset interoperability and the unification of an unlimited number of datasets, data compatibility provides as much unified data as possible to support any AI application.

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 in each dataset. Adding each Data Compatibility Standard to each dataset opens the door to a shared dataset of curated ‘golden’ master data content. These curated datasets enrich every compatible dataset with high-quality data that is consistent, accurate, and complete.

With each Data Compatibility Standard we add to a dataset, many directly interoperable plug-and-play dataset connectors become available for blending compatible datasets. These dataset connectors add comprehensive data integrity that is woefully missing from disparate data foundations. 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.

We characterize the compatible data foundation as an analytics-ready data fabric composed of modular plug-and-play datasets. This data fabric has no data fragmentation issues in the disparate data foundation. Beyond that, the data fabric is enriched with the high-quality data needed to support your AI/ML efforts. Because of its superior design, the data standardization effort is far more efficient than the typical data integration project. You can independently enhance each existing dataset with data compatibility standards. Therefore, your time to market can be very short. Finally, since the compatible datasets are modular and distributed, the scope of the data fabric is unlimited. The compatible data foundation is your only logical choice to support advanced technologies such as AI/ML.

Imagine the power of an AI application that could learn from these unified compatible 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.