Enterprise data sharing with AI
Generative AI as a technology is here to stay and yet their impact on professionals with non technical background has mixed responses. Numerous enterprise systems like ERP, CRM, CMS, EPM, ECM, and many others were built for tailored business purposes. With the advent of Generative AI, that landscape of building large monolithic data platforms with embedded business logic seems lethargic and ancient.
Generative AI is still in the early stages, yet there are rising hopes of this new family of technologies to make a huge impact in business workforce and their productivity is abundant. Yet, while enterprises scale their AI initiatives, they are equally entangled with data driven challenges. Add to these challenges, the need to share such data across users and partners beyond the boundaries of an organization. Even though sharing of data within an organization has made huge strides with cloud, the same can’t be said in case of sharing data with an external user community.
Such data should be served in a secure, compliant, and traceable access platform without compromising data quality, data lineage, data governance, data loss, and data misrepresentation. The traditional approach of data sharing has expanded greatly with cloud providers taking the lead in adding features and functions stretching in the cloud. This has also created data silos, compliance risks, and security concerns. While this Generative AI is shaping up towards a governed and controlled "Enterprise AI”, the challenges with enterprise data sharing won’t be restricted to just sharing links and files.
The user experience and customer experience will also evolve to address newly created data by Agents. Organizations will look to these services for better data consumption and workforce interaction. Recent analyst reports from Gartner and IDC highlight the need for new technologies and implementation patterns that can result in positive business outcomes towards, realizing true value from data sharing and consumptions. Those solutions should also incorporate strict security measures to support disparate cloud data services.
In this new blog series, we explore our strategies and learnings on Enterprise Data Sharing beyond the firewalls. We look at how leading Cloud Data Hosts - Google, and Microsoft offer their data sharing features for Enterprises. We also look at Cloud Native Content Repositories Box and Egnyte spearheading their AI and Data Sharing initiatives.
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