Smart Data Collective

DECEMBER 1, 2022

The world of big data is constantly changing and evolving, and 2021 is no different. As we look ahead to 2022, there are four key trends that organizations should be aware of when it comes to big data: cloud computing, artificial intelligence, automated streaming analytics, and edge computing.

Big Data 140

Big Data Internet of Things Data-driven IoT 140

Smart Data Collective

SEPTEMBER 23, 2020

While there is a lot of discussion about the merits of data warehouses, not enough discussion centers around data lakes. We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes. Both data warehouses and data lakes are used when storing big data.

Data Lake 106

Data Lake Data Warehouse Unstructured Data Big Data 106

IBM Big Data Hub

APRIL 22, 2024

Our approach includes applying AI, Internet of Things (IoT), and advanced data and automation solutions to empower this transition. Generative AI refers to deep-learning models that can take raw data and “learn” to generate statistically probable outputs when prompted.

IoT 83

IoT Internet of Things Cost-Benefit Reporting 83

Smart Data Collective

FEBRUARY 26, 2023

Tewari pointed out that “OpenAI’s GPT-3 or similar autoregressive language models that use deep learning to create human-like text.” Take the Internet of Things as an example. One poll found that 40% of AI art developers spent their time looking for utilitarian images.

Software 99

Software Internet of Things IoT Deep Learning 99

IBM Big Data Hub

FEBRUARY 23, 2024

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. Integrating conversational AI into the Internet of Things (IoT) also offers vast possibilities, enabling more intelligent and interactive environments through seamless communication between connected devices.

Enterprise 103

Enterprise Interactive Data-driven Key Performance Indicator 103

datapine

NOVEMBER 19, 2019

An important part of artificial intelligence comprises machine learning, and more specifically deep learning – that trend promises more powerful and fast machine learning. An exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictive analytics method of analyzing data.

Technology 279

Technology Internet of Things IT IoT 279

Rocket-Powered Data Science

JULY 6, 2021

All through these training stages, data privacy is preserved, while allowing for the generation of globally useful, distributable, and accurate models. 7) Deep learning (DL) may not be “the one algorithm to dominate all others” after all.

Machine Learning 279

Machine Learning Data-driven IoT Deep Learning 279