It's common practice for database and analytics products to AI-wash themselves. For instance, many platforms have added support for running Spark compute jobs, and because Spark supports ML, they can ...
An open source version of the Hadoop-based and Spark-accelerated RDBMS is now available sans a few enterprise features Splice Machine, the relational SQL database system that uses Hadoop and Spark to ...
AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...
Self-described “operational artificial intelligence” firm Splice Machine Inc. has just added $16 million to its kitty following a round of funding led by GreatPoint Ventures. Accenture Ventures and ...
Splice Machine has completed a $15M Series B round of funding. The investment is led by InterWest Partners, along with returning Series A investor Mohr Davidow Ventures (MDV). According to the company ...
Operational artificial intelligence platform developer Splice Machine has raised $16 million in a Series B round of financing led by GreatPoint Ventures with participation by Accenture Ventures and ...
“As the only real-time, transactional SQL database built on Hadoop, our product allows application developers and database architects to have the scalability of Hadoop and HBase, the ubiquity of SQL ...
Splice Machine, a scale-out SQL database with built-in machine learning, is releasing Livewire, its new open source Operational AI platform for industrial IoT use cases. The Splice Machine Livewire ...
Splice Machine, makers of a RDBMS solution for Hadoop, claims it can outperform conventional databases that need both scale and speed Counterintuitive as it sounds, that’s exactly the idea being ...
Splice Machine, a real-time machine learning and artificial intelligence (AI) solutions provider, recently announced the release of Livewire Pulsar, the latest edition of its Livewire open source ...
AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...
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