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MLOps and the evolution of data science

IBM Big Data Hub

MLOps is the next evolution of data analysis and deep learning. Simply put, MLOps uses machine learning to make machine learning more efficient. Simply put, MLOps uses machine learning to make machine learning more efficient. What is MLOps? How the models are stored. Where they are deployed.

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3 AI Trends from the Big Data & AI Toronto Conference

DataRobot Blog

Organizations are looking for AI platforms that drive efficiency, scalability, and best practices, trends that were very clear at Big Data & AI Toronto. Swarms of customers, partners, and industry colleagues dropped by to discuss AI-related opportunities within their organizations and discuss three top AI themes.

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Enable business users to analyze large datasets in your data lake with Amazon QuickSight

AWS Big Data

This blog post is co-written with Ori Nakar from Imperva. To enable this transformation to a data-driven organization, Imperva brings together data from structured, semi-structured, and unstructured sources into a data lake. In turn, this makes AWS the best place to unlock value from your data and turn it into insight.

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Data Science Tools: Understanding the Multiverse

Domino Data Lab

Domino’s Enterprise MLOps platform was designed with this diversity in mind so that as your projects and data science tool ecosystem evolves, the options available to your team won’t be limited to a single approach. In the multiverse of data science, the tool options continue to expand and evolve. What Are Data Science Tools? Snowflake ).

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Accelerating Projects in Machine Learning with Applied ML Prototypes

Cloudera

Unfortunately, this pattern of development has some significant drawbacks: (1) a lack of visibility into the author’s credibility; (2) there’s no guarantee that the code you find uses current best practices; and (3) it’s unknown whether the libraries used will work in your current environment. . The answer is a resounding no.

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How to choose the best AI platform

IBM Big Data Hub

AI technology is quickly proving to be a critical component of business intelligence within organizations across industries. AI platforms offer a wide range of capabilities that can help organizations streamline operations, make data-driven decisions, deploy AI applications effectively and achieve competitive advantages.

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Data democratization: How data architecture can drive business decisions and AI initiatives

IBM Big Data Hub

Data democratization, much like the term digital transformation five years ago, has become a popular buzzword throughout organizations, from IT departments to the C-suite. ” through a truly data literate organization. It also requires data literacy throughout the organization. What is data democratization?