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Tag: machine learning

How To Know If MLOps Is Worth The Cost For Your Problem

Enterprise data intake is growing exponentially, and leaders are looking toward any automated solutions to prevent disarray and arm themselves for the future. Machine learning (ML) will unlock the potential of collected Read more…

HPE Acquires Pachyderm for Reproducible ML Capabilities

Hewlett Packard Enterprise announced it has acquired Pachyderm, a startup whose open source software automates reproducible machine learning pipelines for large-scale AI applications. The purchase price and terms of the Read more…

What’s Up with Cloud in 2023? Industry Predictions

The cloud is unavoidable these days, as it has become the default infrastructure for many data workloads. But cracks are appearing in the cloud’s walls, thanks to cost overruns and fear of lock-in. Those are just some Read more…

Analytics Predictions for 2023

The world is awash in data, and the pace of data generation is increasing. You don’t need a crystal ball to tell you that. But what will the new year bring in the field of big data analytics? We leave that to our panel Read more…

Mastering the Mesh: Finding Clarity in the Data Lake

Data lakes are great in theory, but their application in the real world often leaves the user wanting more. A data mesh is one approach to cleaning up chaos left by data lakes and the resulting swing back to data decentr Read more…

The Embedded Future of Analytics and AI

Data makes the world go round; you won’t get much argument from us on that. But if there’s one thing better than having the right piece of information, it’s having it at the right time. And that, in a nutshell, is Read more…

SageMaker Bolstered with Better Controls, AI Governance

AWS yesterday unveiled a host of enhancements for Amazon SageMaker, its end-to-end machine learning offering. Among the most prominent capabilities are a collection of new governance tools aimed at keeping ML projects on Read more…

AWS Seeks an End to ETL

Extract, transform, and load. It’s a simple and ubiquitous thing in IT. And yet everybody seems to hate it. The latest company to pile on to ETL is AWS, which declared an effort to end ETL yesterday at re:Invent. Ad Read more…

Solving for Data Drift from Class Imbalance with Model Monitoring

The amount of data created within the next five years will total twice the amount ever produced, according to IDC. Not only will this data hold a wealth of knowledge and insights that businesses can leverage to enhance d Read more…

A Pressing Need for More Data Literacy

As big data and AI become greater influences in people’s lives, the need for a basic education on how data and AI systems work is becoming more apparent. Two data science industry leaders, including the CEOs of Anacond Read more…

IBM Collaboration Looks to Bring Massive AI Models to Any Cloud

Training machine learning foundation models with sometimes billions of parameters demands serious computing power. For example, the largest version of GPT-3, the famous large language model behind OpenAI’s DALL-E 2, ha Read more…

The Future of Data Science Is About Removing the Shackles on AI

Before embracing his destiny as a superhero, Superman was raised on the Kent family farm in Smallville, Kansas, where his superpowers lay dormant and unutilized. And even in adulthood as a reporter for The Daily Planet, Read more…

TigerGraph Bolsters Database with Graph Analytics and ML

Companies that want to use powerful graph algorithms to explore hidden connections in their data may want to check out TigerGraph, which today unveiled a pair of cloud-based offerings designed to bolster graph analytics Read more…

MindsDB Platform Now Features Over 70 Integrations

MindsDB has announced it now has more than 70 technology and data integrations with leading compute, storage, and multi-cloud databases. Additionally, the company has reached a milestone of over 11,000 stars on Github. Read more…

Predict, Monitor, and Mobilize: Deploying AI for Smart Disaster Response

As climate change unfolds, natural disasters that strike with previously unthinkable force have become our new normal. Floodwaters rise higher, winds blow harder and lives and livelihoods are in greater danger than ever Read more…

How Snowplow Breaks Down Data Barriers

If you have suspicions about your data, you’re not alone. The AI and data analytics dreams of many a company have been broken by poor data management and defective ETL pipelines. But by enforcing data schema at the poi Read more…

The Future of BI Is AI, Says Qlik CEO Capone

The future of business intelligence will be defined by how well AI and data science capabilities can be integrated into traditional analytic and decision-support tools that can impact the business at the speed of data ge Read more…

Dataiku 11.1 Update Boosts Data Science and MLOps

Dataiku has unveiled the latest update to its data science and machine learning platform, Dataiku 11.1. This update includes improvements to existing capabilities as well as new features for data scientists, ML engineers Read more…

What’s Holding Up Progress in Machine Learning and AI? It’s the Data, Stupid

The lack of a solid data foundation and solid data workflows is preventing companies from making more progress with machine learning and AI, according to a new Forrester Consulting survey conducted on behalf of Capital O Read more…

Neural Search Platform Vectara Launches with $20M Seed

Vectara, a neural network technology platform, has announced $20 million in seed funding and has also released its first product for general availability: a neural search as a service. Many existing search engines are Read more…

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