From TechCrunch
By Kyle Wiggers
October 24, 2023
As cloud-based software becomes the norm for many functions inside of modern businesses, data silos are growing into an outsize problem. This is particularly true in the financial industry, where vendors are often faced with reconciling data from a diverse range of sources. According to a 2022 survey from InterSystems — which, it should be […]
© 2023 TechCrunch. All rights reserved. For personal use only.
Acryl Data raises $21M to grow its enterprise data catalog platform
With the explosion of different kinds of data, companies are struggling to realize meaningful value from their stored data. Data teams are overworked — forced to cater to the needs of disparate departments within an organization while trying to maintain data policies consistently. That’s the shared thesis of Shirshanka Das and Swaroop Jagadish, at least, […]
Jun 22, 2023
Sifflet raises cash to expand its data observability platform
Organizations dealing with large amounts of data often struggle to ensure that data remains high-quality. According to a survey from Great Expectations, which creates open source tools for data testing, 77% of companies have data quality issues and 91% believe that it’s impacting their performance. In light of that, unsurprisingly, business has been quite healthy […]
Mar 21, 2023
General Catalyst and Khosla Ventures back data mapping startup Lume
Data integration is a necessary part of many workflows from onboarding customer data to exercising payroll, but for many data sets the process is long and manual. Data is siloed into databases and SaaS applications that each keep the information in different formats, which makes it difficult to move information from one database to another. Lume looks to change that using AI. Lume’s system uses AI and algorithms to automate data mapping by extracting data from its database silos and “normalizi
Nov 12, 2024
Relyance lands $32M to help companies comply with data regulations
As the demand for AI surges, AI vendors are devoting greater bandwidth to data security issues. Not only are they being compelled to comply with emerging data privacy regulations (e.g. the EU Data Act), but they’re finding themselves under the microscope of clients skeptical about how their data is being used and processed. The trouble is, where it concerns tightening data security practices around AI, many orgs aren’t in a position to execute well. According to a survey from BigID, a data cont
Oct 10, 2024