Rocket-Powered Data Science

MAY 21, 2024

In deep learning applications (including GenAI, LLMs, and computer vision), a data object (e.g., document, image, video, audio clip) is reduced (transformed) to a condensed vector representation using deep neural networks. link] The post An AI Data Platform for All Seasons first appeared on Rocket-Powered Data Science.

Cost-Benefit 239

Cost-Benefit Unstructured Data Enterprise Technology 239

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Cloudera

AUGUST 20, 2020

It’s been a year filled with disruption and uncertainty. Businesses had to literally switch operations, and enable better collaboration and access to data in an instant — while streamlining processes to accommodate a whole new way of doing things. One day we were all going to the office, and the next we were working from home.

Enterprise 121

Enterprise Experimentation Uncertainty Deep Learning 121

Cloudera

OCTOBER 27, 2020

Our goal is to take the incredible data science and machine learning research developments we see emerging from academia and large industrial labs, and bridge the gap to products and processes that are useful to practitioners working across industries.

Deep Learning 61

Deep Learning Machine Learning Forecasting Uncertainty 61

CIO Business Intelligence

JANUARY 4, 2023

In the HPC community, we recognize a need for tools to support machine learning operations and data science management; these tools must be able to scale and integrate with HPC software, compute and storage environments. Ready to evolve your analytics strategy or improve your data quality?

Cost-Benefit 57

Cost-Benefit Machine Learning Modeling Uncertainty 57

IBM Big Data Hub

APRIL 18, 2024

Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move. Most importantly, no matter the strength of AI (weak or strong), data scientists, AI engineers, computer scientists and ML specialists are essential for developing and deploying these systems.

Cost-Benefit 91

Cost-Benefit Modeling Manufacturing Interactive 91

Domino Data Lab

JUNE 23, 2019

It used deep learning to build an automated question answering system and a knowledge base based on that information. It is like the Google knowledge graph with all those smart, intelligent cards and the ability to create your own cards out of your own data. They have the foundations of data infrastructure.

Management 110

Management Machine Learning Experimentation Metrics 110