As enterprises move beyond experimentation to more widespread adoption of AI, a vast majority of them are running into “last mile” issues related to model deployment and management. Gartner predicts that by 2021, at least 50 percent of machine learning models built with the intention of being operationalized will not see the light of day. […] Read More
In most enterprises today, GPU infrastructure is in high demand for computing-intensive machine learning and deep learning applications. If your organization is embarking on an AI initiative, it’s likely that your data science teams want access to GPU resources for their environments. However, enterprise IT teams face several challenges when managing and provisioning GPU-enabled infrastructure. […] Read More
When HPE’s acquisition of BlueData was first announced in late November 2018, our co-founder and CEO Kumar Sreekanti outlined the synergies with HPE in his blog post here. Now we’re very excited to announce the next phase of the BlueData journey: BlueData’s software is generally available from HPE and integrated into HPE’s go-to-market strategy. Internally […] Read More
Today I’m thrilled to announce that BlueData will be joining forces with one of the legendary giants of Silicon Valley; we signed a definitive agreement to be acquired by Hewlett Packard Enterprise (HPE). This is a huge milestone for our company. I’m excited about our future as part of HPE and the impact this will […] Read More
More and more enterprises are adopting machine learning in support of their AI and digital transformation initiatives. Here at BlueData, I’ve worked with many customers across multiple industries to implement their machine learning algorithms. Whether in financial services, insurance, life sciences, healthcare, manufacturing, retail, telecommunications, or government … adoption is accelerating across every sector for […] Read More
We all know that Artificial Intelligence (AI) is here to stay. We experience AI everywhere and enjoy its benefits without even realizing it. From streaming video services like Netflix, which learn our viewing behaviors and patterns so we spend our valuable time watching the shows we like best; to digital assistants like Amazon’s Alexa, which […] Read More
I work with a lot of data science teams at our enterprise customers, and in the past several months I’ve seen an increased adoption of machine learning and deep learning frameworks for a wide range of applications. As with other use cases in Big Data analytics and data science, these data science teams want to […] Read More
