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Here’s a look at 10 big data tools that either debuted or were significantly enhanced this year that solution providers should be aware of.

The paradigm shift ushered in by Artificial Intelligence (AI) in today’s business and technological landscapes is nothing short of revolutionary. AI’s potential to transform traditional business models, optimize operations, and catalyze innovation is vast. But navigating its complexities can be daunting. Organizations must understand and adhere to some foundational principles to ensure AI initiatives lead to sustainable success. Let’s delve deeper into these ten evergreen principles:

Understand the caching mechanisms for the popular distributed SQL engine and how to use them to improve query speed and efficiency.

Alluxio, a leading data platform company, recently announced Alluxio Enterprise AI — a new solution purpose-built to accelerate enterprise artificial intelligence (AI) and machine learning (ML) workloads.

We are at the 21st annual Information Security Summit in Cleveland today, and it’s been an interesting event for us. Not only is this close to home in Northeast Ohio, the long-running ISS event attracts a wide range of attendees and presenters across the information security space. Ransomware and AI are high on the agenda of course, but we’re also hearing about budgets and employment in the industry.

Keeping tabs on all the most relevant big data and data management news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines from the last week, in this space. Solutions Review editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy big data and data management news items.

Revolutionizing the landscape of artificial intelligence (AI) and data analytics, Alluxio introduced Alluxio Enterprise AI. Designed to meet the rising demands of AI and machine learning workloads on an enterprise’s data infrastructure, the new high-performance data platform will help enterprises accelerate AI products’ time-to-value and maximize infrastructure ROI.

Alluxio, a company tracing its roots to 2014 open source project Tachyon at UC Berkeley’s AMPLab, has launched its Alluxio Enterprise AI (AEAI) platform, geared specifically to deep learning and generative AI applications. The new platform runs atop the established Alluxio Data Platform, adding optimizations for GPU resources and specific machine learning (ML) and deep learning libraries.

According to a new press release, Alluxio has unveiled a new high-performance data platform called Alluxio Enterprise AI, aimed at meeting the increasing demands of artificial intelligence (AI) and machine learning (ML) workloads within enterprise data infrastructure. This platform addresses challenges associated with AI infrastructure, such as low performance, data accessibility, GPU scarcity, and underutilized resources. Alluxio Enterprise AI offers significant speed improvements, achieving up to 20 times faster model training and up to 10 times accelerated model serving while utilizing GPUs efficiently.