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AI-Driven Data Catalogs for the Insights-Driven Enterprise: How to Find the Right Data Catalog

Data lakes have turned into data swamps. Metadata initiatives have derailed. As a result, data discovery and retrieval are ongoing, head-banging challenges. In the universal search for a workable solution, data catalogs are quickly rising to the top of the list. Download the new report from Io-Tahoe that outlines some of the major considerations to help you find the AI-driven data catalog that will work best for your organization. 

Intelligent Sensing: The Impact of AI on Sensor Capabilities

The rise of artificial intelligence (AI) is unlocking a wave of new sensor applications and driving market demand for intelligent sensing – the ability to extract insights from sensor data. To guide innovation and investment in this fast-evolving market, the team at Lux Research, a leading provider of tech-enabled research and advisory services for technology innovation, took a deep dive into how and where enhanced AI analytics are rapidly improving the […]

Alternative Data for Investment Management

From hedge fund managers to mutual funds and even private equity managers, alternative data has the power to improve valuation of securities and boost the clarity of the investment process.  Techniques like natural language processing and machine learning allow organizations to better capitalize on alternative data. These technologies enable processing of large, heterogenous, and unstructured sets at an extremely fast rate. A new report from SparkCognition explores the challenges for alternative data adoption, how to overcome them, and explores the potential of automation.

A Blueprint for Preparing Your Own Machine Learning Training Data

Download the new guide from Alegion that acts as a pre-flight checklist for data science teams that are contemplating preparing their own maching learning training data.

Four Types of Machine Learning Bias

AI models comprise algorithms and data, and they are only as good as their underlying mathematics and the data they are trained on. When things go wrong with AI it’s because either the model of the world at the heart of the AI is flawed, or the algorithm driving the model has been insufficiently or incorrectly trained. Download the new whitepaper from Alegion that can help AI project leads and business sponsors better understand the four distinct types of bias that can affect machine learning, and how each can be mitigated.

Four Real-Life Machine Learning Use Cases: A Databricks guide

Databricks Unified Analytics Platform is a cloud-service designed to provide you with ready-to-use clusters that can handle all analytics processes in one place, from data preparation to model building and serving, with virtually no limit so that you can scale resources as needed. Download the new guide that walks readers through four practical end-to-end Machine Learning use cases on Databricks.

Unified Analytics for Dummies: Accelerate AI Innovation

In this Databricks e-book, you not only discover how to avoid and overcome the most common challenges impacting AI success, but a new concept is also introduced. Download the new e-book that explores Unified Analytics, a concept that brings together solutions that unify data science and data engineering, making AI much more achievable for enterprise organizations and enabling them to accelerate their AI initiatives.

insideBIGDATA Special Report: Healthcare and HPC — Bridging the Gap Through Artificial Intelligence

Will the rise of artificial intelligence (AI) displace the need for traditional physicians and clinicians? It’s a potent question—and one that often sits on the periphery whenever there are discussions around the application of AI within healthcare, and healthcare and HPC. This new insideBIGDATA special report, brought to you by Dell EMC and NVIDIA, is essential reading for anyone looking to explore or expand on the use of AI within the medical industry.

insideBIGDATA Guide to Data Platforms for Artificial Intelligence and Deep Learning

This insideBIGDATA technology guide explores how current implementations for AI and DL applications can be deployed using new storage architectures and protocols specifically designed to deliver data with high-throughput, low-latency and maximum concurrency.

Revolutionizing the Media and Entertainment Industry through Artificial Intelligence

From the creative process behind the scenes, to content delivery and audience engagement, artificial intelligence is having a profound effect on the media and entertainment industry. Download the new guide, brought to you by Dell EMC and Nvidia, to learn more about how AI is revolutionizing this sector.