Auf Wiedersehen Germany! Last week we wrapped up a highly successful GPU Technology Conference (GTC) Europe in Munich! GTC is NVIDIA’s international conference series, bringing together the top minds in deep learning, analytics, and of course GPUs for sessions, workshops, …Read More
In a significant step forward in enabling the adoption of AI at scale, NVIDIA today announced their latest GPU-powered innovation for data science, the RAPIDS suite of open-source libraries.
RAPIDS will allow data scientists to move workflows for model training …Read More
This tutorial describes the application of Singular Value Decomposition or SVD to the analysis of sparse data for the purposes of producing recommendations, clustering, and visualization on the Kinetica platform. Sparse data is common in industry and especially in …Read More
How can we avoid the data science black hole of complexity, unpredictability, and disastrous failures and actually make it work for our organizations?
According to this recent Eckerson article the key is operationalizing data science:
We, as a field, and
I’m excited to share that Kinetica’s now a bronze member of Automotive Grade Linux (AGL)! AGL is a collaborative open source project that’s bringing together automakers, suppliers, and technology providers to accelerate development and adoption of connected vehicle services. Members…Read More
The explosion of mobile phones, connected cars, and the Internet of Things has enabled us to capture, store, and share geospatial information at unprecedented scale. Location intelligence is taking over the world, powering innovative services like autonomous vehicles, location-based offers, …Read More
For AI to become mainstream, it will need to move beyond small scale experiments run by data scientists ad hoc.
The complexity of technologies used for data-driven machine and deep learning means that data scientists spend less time developing algorithms …Read More
Ad tech is unique, with its own distinct requirements and constraints. Digital advertising is becoming increasingly transacted via programmatic means, which demands technology that can not only accommodate extreme data volumes, but that can also process the data at the …Read More
Over the past couple of years, one of the top phrases in every press release, conference keynote or analyst report has been “Digital Transformation,” and for good reason. A recent Gartner survey found that 62% of CEOs had a management …Read More
JupyterLab is an integrated environment that can streamline the development of Python code and Machine Learning (ML) models in Kinetica. With it you can edit Jupyter notebooks that integrate code execution, debugging, documentation, and visualization in a single document …Read More