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Day: September 9, 2021

InMoment completes acquisition of Lexalytics

InMoment, a provider of Experience Improvement (XI) solutions, announced it has completed the acquisition of Lexalytics, a provider of cloud and on-premise natural language processing (NLP), and machine learning (ML) that transform structured data, text, and unstructured data from any source, into actionable intelligence. Lexalytics brings two decades of structured and unstructured data experience and cloud and on-premise text analytics solutions that go beyond surveys to include social, call center, voice, reviews, support tickets, chat logs, and many additional data channels.

This combination brings flexibility to organizations that require private, public, or hybrid cloud text analytics infrastructures, and unlocks new market opportunities with native text analytics across 24 languages and a large set of industry data sets. Together, InMoment solutions can be implemented in a variety of industries for social media monitoring, people analytics and voice of the employee, reputation management and voice of the customer, and regulatory compliance programs. Lexalytics employees, including its founder Jeff Catlin, will continue in their roles and will be key to accelerating InMoment’s structured and unstructured analytics leadership and initiatives.

https://inmoment.comhttps://www.lexalytics.com

Databricks closes series H with more participation from AWS and Microsoft

Databricks, the Data and AI company known for their data lakehouse architecture, announced the final closing of their recent Series H funding. Cloud leaders and existing investors Amazon Web Services (AWS), CapitalG, and Microsoft will participate in Databricks’ $1.6 billion round of funding, which puts the company at a $38 billion post-money valuation. The Series H funding will be used to accelerate innovation and adoption of the lakehouse as the data architecture’s popularity across data-driven organizations continues to grow at a rapid pace.

Databricks has a simple and open architecture for data and AI, which brings the reliability, governance, and performance of a data warehouse directly to the data lakes that most organizations already store all of their data in. Rather than being forced to move data out of the data lake, and between various disconnected and legacy systems for different use cases, Databricks customers are building analytics platforms on AWS, Microsoft Azure, and Google Cloud to support every data and analytics workload in a single, unified location.

https://databricks.com/company/newsroom/press-releases/databricks-closes-series-h-with-additional-participation-from-strategic-partners

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