Remove 2020 Remove Data Collection Remove Data-driven Remove Machine Learning
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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

The year 2020 was remarkably different in many ways from previous years. In at least one way, it was not different, and that was in the continued development of innovations that are inspired by data. This steady march of data-driven innovation has been a consistent characteristic of each year for at least the past decade.

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Top 10 IT & Technology Buzzwords You Won’t Be Able To Avoid In 2020

datapine

In this post, we’re going to give you the 10 IT & technology buzzwords you won’t be able to avoid in 2020 so that you can stay poised to take advantage of market opportunities and new conversations alike. Get the inside scoop and learn all the new buzzwords in tech for 2020! Computer Vision. Artificial Intelligence (AI).

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What is a Machine Learning Data Catalog?

Alation

Key Features of a Machine Learning Data Catalog. Data intelligence is crucial for the development of data catalogs. At the center of this innovation are machine learning data catalogs (MLDCs). Unlike standalone tools, machine learning data catalogs have features like: Data search.

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Digital Transformation in the Office of the CFO: Predictions for 2020 and Beyond

Jet Global

We’ve rounded up some of the top trends and predictions shaping financial transformation in 2020 and beyond. Expanded Use of Automation and Machine Learning. Machine learning also expands the analytics capabilities of the office of the CFO, resulting in deeper insights into financial data collected from across the organization.

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Becoming an AI-first Organization

Cloudera

It means your company has automated the processes of collecting, understanding and acting on data across the board, from production to purchasing to product development to understanding customer priorities and preferences. Of Human and Machine. Becoming AI-first. Product development. Procurement.

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Sustainability trends: 5 issues to watch in 2024

IBM Big Data Hub

These efforts are often driven by stakeholder expectations, regulatory requirements and the recognition that sustainable business practices can improve the bottom line. 2 For example, some are turning to software solutions that can more easily capture, manage and report ESG data. trillion to the global economy by 2050.

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Making the most of MLOps

CIO Business Intelligence

When companies first start deploying artificial intelligence and building machine learning projects, the focus tends to be on theory. But the tools that data scientists use to create these proofs of concept often don’t translate well into production systems. Is there a model that can provide the necessary results?