DataRobot Blog

MARCH 10, 2022

The “Fourth Industrial Revolution” was coined by Klaus Schwab of the World Economic Forum in 2016. With time-series forecasting, organizations can predict future demand and hit their targeted delivery deadlines. These initiatives utilize interconnected devices and automated machines that create a hyperbolic increase in data volumes.

Manufacturing 52

Manufacturing IoT Machine Learning Forecasting 52

Domino Data Lab

APRIL 29, 2021

I see a future of deep learning where transfer learning is king in large part because mega-model architectures are going to get really good at capturing large amounts of information about domains like language and vision. Deep learning enthusiasts are increasingly putting NVIDIA’s GTC at the top of their gotta-be-there conference list.

Data Science 134

Data Science Deep Learning Modeling Forecasting 134

IBM Big Data Hub

OCTOBER 20, 2023

AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually. AI platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models.

Machine Learning 77

Machine Learning Manufacturing Cost-Benefit Deep Learning 77

BI-Survey

SEPTEMBER 22, 2021

Advanced analytics has come a long way in recent years since the hype around big data ignited. Besides data scientists, user groups such as business analysts are now exploring the potential of advanced analytics. . Which experiences are relevant for the future? Which of these topics will remain relevant?

Analytics 52

Analytics Cost-Benefit Machine Learning Measurement 52

DataRobot Blog

MARCH 23, 2023

AI adoption remains top-of-mind for organizations. Although companies are keen to gain competitive advantage by leveraging AI to more rapidly bring innovations to market, they are often unable to see end results as quickly as they’d like. In a challenging economy, agility, speed, and efficiency are vital. 2 What Is MLOps and How Does It Help?

Machine Learning 52

Machine Learning Cost-Benefit Modeling Testing 52

Smarten

FEBRUARY 28, 2019

If Data Science was once the sole domain of analysts and data scientists, Augmented Data Science represents the democratized view of this domain. Augmented Data Science is integrated into the average enterprise, the domain of data science proliferates as does the knowledge and understanding of analytical techniques.

Data Science 40

Data Science IT Machine Learning Predictive Modeling 40

O'Reilly on Data

MARCH 24, 2020

In a world focused on buzzword-driven models and algorithms, you’d be forgiven for forgetting about the unreasonable importance of data preparation and quality: your models are only as good as the data you feed them. Why is high-quality and accessible data foundational?

Machine Learning 346

Machine Learning Statistics Data Quality Modeling 346

O'Reilly on Data

DECEMBER 19, 2018

We need to do more than automate model building with autoML; we need to automate tasks at every stage of the data pipeline. In a previous post , we talked about applications of machine learning (ML) to software development, which included a tour through sample tools in data science and for managing data infrastructure.

Machine Learning 261

Machine Learning Software Modeling Testing 261

BI-Survey

FEBRUARY 7, 2022

The effective use of data and analytics is a challenge for most companies today. Analytics content must be created in an iterative manner and it must not be impeded by the restrictions caused by data silos. Creating all reports in a single tool and storing all data in a common data warehouse was meant to boost efficiency.

Analytics 52

Analytics Cost-Benefit Metadata Software 52