DataRobot Blog

JUNE 3, 2022

AI is touching our lives and societies in ways that no other technology has before, from improving human efficiency in the Health , Finance , and Communication sectors, to allowing humans to focus on other important decision-making tasks that machines cannot yet safely or creatively tackle. What is GPT-3? Are you scared yet, human?

Risk 52

Risk Predictive Modeling Modeling Technology 52

BizAcuity

JULY 22, 2019

One where every sector around us, right from transport, retail and manufacturing to automobiles, is undergoing a major transformation. Today, the science and study of fleet management is transforming the way traditional fleets were managed. This data is gathered by the Internet of Things (IoT) devices.

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IoT Management Internet of Things Optimization 93

datapine

OCTOBER 21, 2020

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. In this article, we’re going to address the need for big data in healthcare and hospital big data: why and how can it help?

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

IBM Big Data Hub

NOVEMBER 13, 2023

But Docker lacked an automated “orchestration” tool, which made it time-consuming and complex for data science teams to scale applications. But Docker lacked an automated “orchestration” tool, which made it time-consuming and complex for data science teams to scale applications.

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Machine Learning Data-driven Software Testing 121

AWS Big Data

SEPTEMBER 29, 2023

In today’s digital age, data is at the heart of every organization’s success. One of the most commonly used formats for exchanging data is XML. Firstly, XML files are used in many industries, including finance, healthcare, and government. In this post, we show how to process XML data using AWS Glue and Athena.

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Metadata Visualization Data-driven Optimization 65

CIO Business Intelligence

MAY 12, 2022

He received a PhD in Computer Science from Stanford, so he’s comfortable diving into the deep end as a technologist. When we sat down for the Tech Whisperers podcast , Sample opened up about his new playbook, his leadership philosophies, and how he is winning with talent. I’ll read blogs and follow along with industry trends.

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Testing Machine Learning Technology Finance 105

IBM Big Data Hub

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. However, the growing influence of ML isn’t without complications.

Machine Learning 85

Machine Learning Modeling Deep Learning Predictive Modeling 85

datapine

OCTOBER 30, 2019

Historically, the terms data report or business report haven’t got the crowds excited. Data reports have always been important for businesses. The business intelligence industry has been revolutionized over the past decade and data reports are in on the fun. Exclusive Bonus Content: Get our data reporting recommendations!

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Reporting Visualization Dashboards KPI 127

BizAcuity

MARCH 31, 2022

You must be tired of continuously hearing quotes like, ‘data is the new oil’ and what not. Combined, it has come to a point where data analytics is your safety net first, and business driver second. These industries accumulate ridiculous amounts of data on a daily basis. AI Adoption and Data Strategy. Source: TCS).

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

bridgei2i

APRIL 9, 2019

The financial industry is undergoing a radical shift that’s being driven by mounting regulation and compliance pressures, changing business models, new competition from FinTechs, and disruptive technologies. Although the digital transformation of enterprises may seem challenging, it is not impossible. Automation.

Unstructured Data 69

Unstructured Data Sales Data-driven Finance 69

Domino Data Lab

AUGUST 10, 2021

Models are the central output of data science, and they have tremendous power to transform companies, industries, and society. At the center of every machine learning or artificial intelligence application is the ML/AI model that is built with data, algorithms and code. What Is Modeling? Why Is Modeling Important?

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Modeling IT Risk Management Deep Learning 64

Domino Data Lab

MARCH 6, 2019

Niels Kasch , cofounder of Miner & Kasch , an AI and Data Science consulting firm, provides insight from a deep learning session that occurred at the Maryland Data Science Conference. Introduction. You may also remember UMBC from the miracle at the 2018 NCAA Tournament.) The conference was not without hiccups.

Deep Learning 55

Deep Learning Data Science Machine Learning Modeling 55

datapine

SEPTEMBER 16, 2022

“Most of us need to listen to the music to understand how beautiful it is. But often that’s how we present statistics: we just show the notes, we don’t play the music.” – Hans Rosling, Swedish statistician. Data visualization, or ‘data viz’ as it’s commonly known, is the graphic presentation of data.

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Visualization Dashboards Data-driven Statistics 304

bridgei2i

MAY 21, 2019

The financial industry is undergoing a radical shift that’s being driven by mounting regulation and compliance pressures, changing business models, new competition from FinTechs, and disruptive technologies. Although the digital transformation of enterprises may seem challenging, it is not impossible. Automation.

Unstructured Data 40

Unstructured Data Sales Data-driven Finance 40

datapine

JULY 24, 2019

Data has never been more readily accessible. How can you create one? A BI dashboard — or business intelligence dashboard — is an information management tool that uses data visualization to display KPIs (key performance indicators) tracked by a business to assess various aspects of performance while generating actionable insights.

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Dashboards Business Intelligence Visualization KPI 148

The Data Visualisation Catalogue

DECEMBER 23, 2018

One of the methods I used during my investigatation into the impact of Virtual Reality (VR) technology on data visualization and infographic design was to simply search online what other people have been saying. and So Far, VR-Enabled Data Visuailzation is Nonsense.

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Visualization Big Data Finance Technology 43

O'Reilly on Data

DECEMBER 9, 2019

Three reasons why confidence intervals should not be used in financial data analyses. Practitioners in all social sciences, especially financial economics, use confidence intervals to quantify the uncertainty in their estimates and predictions. for making inferences about population parameters based on a specific data sample.

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Statistics Uncertainty Risk Marketing 27

datapine

JANUARY 31, 2022

Because things are changing and becoming more competitive in every sector of business, the benefits of business intelligence and proper use of data analytics are key to outperforming the competition. BI software uses algorithms to extract actionable insights from a company’s data and guide its strategic decisions.

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Business Intelligence Analytics Cost-Benefit ROI 214

Ontotext

AUGUST 31, 2023

This article is the first in a series of two where we discuss our perspective on what is considered a semantic knowledge graph, why it’s important (specifically in the context of AI and LLMs) and share how they can drive your enterprise goals forward. What is a knowledge graph?

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Modeling Optimization Knowledge Discovery Enterprise 64

Depict Data Studio

SEPTEMBER 17, 2019

In my sixth year of self-employment, the demand for data visualization skills is stronger than ever. Are you ready to take your organization’s data communications skills to the next level? The once-a-year enrollment period is now open for Great Graphs: Transform Spreadsheets into Stories. practical software how-tos?

Visualization 40

Visualization Consulting Dashboards Reporting 40