CIO Business Intelligence

APRIL 25, 2022

Data engineers and data architects spend more time dealing with code, databases, and complex queries, whereas data analysts and data scientists typically focus on analyzing, collecting, and interpreting large datasets to help guide business decisions. Top 15 data science bootcamps. WeCloudData. SIT Academy.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

IBM Big Data Hub

MARCH 27, 2024

A 2022 CDP study found that for companies that report to CDP, emissions occurring in their supply chain represent an average of 11.4x The same study showed that 72% of CDP-responding companies reported only their operational emissions (Scope 1 and/or 2). more emissions than their operational emissions.

Experimentation 74

Experimentation Modeling Deep Learning Data-driven 74

O'Reilly on Data

JULY 28, 2020

Many companies face a problem that’s even worse: no one knows which levers contribute to the metrics that impact business outcomes, or which metrics are important to the company (such as those reported to Wall Street by publicly-traded companies). It’s easy to focus on the wrong metric if you haven’t done the proper research.

Marketing 362

Marketing Experimentation Metrics Testing 362

Occam's Razor

MARCH 30, 2017

People tend to use these phrases almost interchangeably: Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning. Deep Learning is a specific ML technique. Most Deep Learning methods involve artificial neural networks, modeling how our bran works. They send out reports and dashboards.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

CIO Business Intelligence

FEBRUARY 10, 2023

The report projects the market will reach $38 billion by 2028, growing at a compound annual growth rate (CAGR) of about 20.4% Its flagship tool, Pipe Sleuth, uses an advanced, deep learning neural network model to do image analysis of small diameter sewer pipes, classify them, and then create a condition assessment report.

Predictive Analytics 142

Predictive Analytics Analytics Predictive Modeling Forecasting 142

DataRobot

OCTOBER 20, 2021

The flow of data through an organization: Mapping how data flows through an organization helps organizations get and stay aligned on potential bias risks with data collection and data degradation. rule-based AI , machine learning , deep learning , etc.) Data Literacy for Responsible AI.

Machine Learning 52

Machine Learning Metrics Risk Deep Learning 52

Domino Data Lab

OCTOBER 9, 2019

We’ll examine National Oceanic and Atmospheric Administration (NOAA) data management practices which I learned about at their workshop, as a case study in how to handle data collection, dataset stewardship, quality control, analytics, and accountability when the stakes are especially high. How cool is that?!

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

IBM Big Data Hub

AUGUST 11, 2023

Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. MLOps is the next evolution of data analysis and deep learning. Here are some instances where MLOps can drive further innovation.

Data Science 53

Data Science Machine Learning Cost-Benefit Deep Learning 53

CIO Business Intelligence

MARCH 30, 2022

For organizations looking to move beyond stale reports, decision intelligence holds promise, giving them the ability to process large amounts of data with a sophisticated mix of tools such as artificial intelligence and machine learning to transform data dashboards and business analytics into more comprehensive decision support platforms.

Machine Learning 144

Machine Learning Testing Risk Data-driven 144

Smart Data Collective

MAY 8, 2022

Let’s not forget that big data and AI can also automate about 80% of the physical work required from human beings, 70% of the data processing, and more than 60% of the data collection tasks. From the statistics shown, this means that both AI and big data have the potential to affect how we work in the workplace.

Big Data 104

Big Data Data Analytics Analytics Cost-Benefit 104

DataRobot Blog

JULY 27, 2022

Here we will demonstrate an end-to-end unattended workflow that: trains a new model on the Fashion MNIST Dataset uploads it to an Algorithmia Data Collection creates a new algorithm on Algorithmia creates DataRobot deployment Links everything together via the MLOps Agent. The Demo: Autoscaling with MLOps.

Metrics 52

Metrics Deep Learning Modeling Machine Learning 52

Cloudera

FEBRUARY 16, 2022

We can think of model lineage as the specific combination of data and transformations on that data that create a model. This maps to the data collection, data engineering, model tuning and model training stages of the data science lifecycle. Machine Learning Model Interpretability.

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

Domino Data Lab

MARCH 3, 2019

This month, the theme is not specifically about conference summaries; rather, it’s about a set of follow-up surveys from Strata Data attendees. We had big surprises at several turns and have subsequently published a series of reports. Let’s look through some of the insights gained from those reports.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

datapine

NOVEMBER 19, 2019

Internal comms: Computer vision technology can serve to improve internal communication by empowering employees to perform their tasks more visually, sharing image-based information that is often more digestible and engaging than text-based reports or information alone. Artificial Intelligence (AI).

Technology 279

Technology Internet of Things IT IoT 279

IBM Big Data Hub

FEBRUARY 14, 2024

Financial services AI-powered FinOps (Finance + DevOps) helps financial institutions operationalize data-driven cloud spend decisions to safely balance cost and performance in order to minimize alert fatigue and wasted budget. AI platforms can use machine learning and deep learning to spot suspicious or anomalous transactions.

Cost-Benefit 83

Cost-Benefit Insurance Unstructured Data Machine Learning 83

Domino Data Lab

MAY 8, 2019

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. Machine learning model interpretability. training data”) show the tangible outcomes.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Occam's Razor

OCTOBER 12, 2017

Years and years of practice with R or "Big Data." " Years of proficiency in analyzing m campaigns for n channels resulting in production of z reports. Intro to Machine Learning. Machine Learning. Deep Learning. Years of having used tool x. This is normal. All three of these courses are free: 1.

Marketing 136

Marketing Analytics Machine Learning Strategy 136

IBM Big Data Hub

MAY 17, 2023

They use drones for tasks as simple as aerial photography or as complex as sophisticated data collection and processing. DaaS is an intelligent, cloud-based, multi-tenant offering for data processing, data storage and data analysis. The global commercial drone market is projected to grow from USD 8.15

Data Collection 77

Data Collection Visualization Data-driven Unstructured Data 77

Domino Data Lab

JULY 22, 2019

We’ve got this complex landscape, tons of data sharing, an economy of data, external data, tons of mobile devices. and drop your deep learning model resource footprint by 5-6 orders of magnitude and run it on devices that don’t even have batteries. What do they report in common? You know what?

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Cloudera

NOVEMBER 19, 2020

government loses nearly 150 billion dollars due to potential fraud each year, McKinsey & Company reports. In financial services, another highly regulated, data-intensive industry, some 80 percent of industry experts say artificial intelligence is helping to reduce fraud. The modeling process begins with data collection.

Machine Learning 120

Machine Learning Data-driven Modeling Deep Learning 120