Here are Four Companies That Are Using or Trying to Incorporate Data Mesh 1. Intuit Zhamak Dehghani’s data mesh concept caught the eye of Intuit, a global tech platform that creates business software for individuals, accountants, and small businesses. As such, the company has endeavored to apply its own data mesh strategy to its data …
Before fully embracing data mesh for your organization, take note of a few key considerations. In this article, we’ll discuss the things you should take into account, as well as share real-life examples of companies that are leveraging the capabilities of data mesh. Four Key Considerations Prior to Implementing Data Mesh Within Your Organization 1. …
Data Mesh Primer – Part 3: Key Considerations Before Implementation Read More »
In part one of this series, we gave a general introduction to Data Mesh and why should organizations consider using this new technology. Today, we’ll continue exploring. Data Mesh vs. Data Fabric A data fabric is one approach to data integration that allows for data orchestration, while a data mesh follows a decentralized data architecture …
Data is a key driver of progress and innovation. In an ideal setting, it should be scalable and accessible. As organizations expand their operations, there’s also a growing need to better manage and utilize all your available data. However, your current data architecture may be preventing you from effectively and efficiently utilizing data and making …
AI systems are evolving at neck-breaking speeds. They aren’t just handling human tasks more efficiently, they also take on responsibilities that we can’t do. Such roles include providing relevant and instant recommendations to consumers or reviewing and approving hundreds of bank transactions at once. Moreover, there’s a growing need for automated systems to help industries …
Strategies for Trustworthy AI Selection and Building Team Trust Read More »
Traditional AI solutions are built on models that learn how to handle data in a certain way for real-world applications. Models generally consist of a training channel for collecting and grouping data and a prediction channel that establishes patterns as it analyzes these data. However, these models are fixed or static, so they either become …
Artificial intelligence is steering the fintech industry towards a future of efficient financial management and real-time data analysis. AI is constantly evolving as we speak and come 2030, AI technology will cut down banks’ operational costs by 22%. As society breaks through with technological advancement and computing solutions, the financial sector is set to witness …
How AI Is Reinventing the Finance and Banking Experience Read More »
The global lockdown in 2020 ushered in a new era for banking. Contactless payments, mobile banking, and virtual banks are driven by the innovations of artificial intelligence (AI) for fintech. AI in banking welcomes next-level customer support and process automation while boosting overall growth. 80% of financial institutions report being aware of the potential of …
As a business owner, you collect a large amount of data daily, but what do you do with all the information? Will you be able to leverage and analyze the data you have? Having a data strategy enables you to maximize information and use it to continuously innovate and rise up to new challenges. One …
The 4 Most Common Data Integration Issues and Their Solutions Read More »
The recent global Azure outages are once again bringing the need for a multi-cloud failover in contention. Aside from the recent Azure Windows VM outage, multiple outages have had global network impact in the past couple of years. Many regulators and service providers are all the more resolute on the need to have multi-cloud failover …