Hurwitz & Associates

APRIL 19, 2018

This strategy is intended to bring together all the elements of Atos’ expansive software and services offerings. This is not surprising given the growing requirements to provide automation based on data models to help customers manage complex hybrid computing environments. Role as an industry platform.

IT 40

IT Consulting IoT Strategy 40

The Unofficial Google Data Science Blog

APRIL 17, 2017

Our team of data scientists and software engineers in Search Infrastructure was already engaged in a particular type of forecasting. Selection and aggregation of forecasts from an ensemble of models to produce a final forecast. Finally, the time series model may give more accurate forecasts than an explanatory or mixed model.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

datapine

APRIL 15, 2020

Try our business intelligence software for 14 days, completely free! Agile analytics (or agile business intelligence) is a term used to describe software development methodologies used in BI and analytical processes in order to establish flexibility, improve functionality, and adapt to new business demands in BI and analytical projects.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

Domino Data Lab

APRIL 3, 2019

I have expertise in data science, plus adjacent fields such as cloud computing, software architecture, natural language, data management… So I should have a good working knowledge about the topic – but I didn’t. As the story goes, the general history of DG is punctuated by four eras: “Application Era” (1960–1990) – some data modeling, ?though

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

CIO Business Intelligence

DECEMBER 15, 2022

To illustrate, from 2011 to 2021, IVL collected over 72 billion post-consumer PET bottles for recycling, which prevented 1.6 And IVL is experimenting with recyclable plastics as part of a circular economy model. million tons of plastic waste from going to landfill and reduced 2.4

Risk 98

Risk Digital Transformation Software ROI 98

CIO Business Intelligence

NOVEMBER 7, 2022

Since that 2011 revelation, Arooni has been doing just that: redefining IT organizations and service delivery models to embrace agile ways of working, including creating product-centric structures with persistent teams responsible for the entire lifecycle of a product.

IT 116

IT Technology Modeling Software 116

Domino Data Lab

JANUARY 6, 2019

Also, clearly there’s no “one size fits all” educational model for data science. Laura Noren, who runs the Data Science Community Newsletter , presented her NYU postdoc research at JuptyerCon 2018, comparing infrastructure models for data science in research and education. The Berkeley model addresses large university needs in the US.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Sisense

NOVEMBER 26, 2019

Your business and your software have to evolve to keep up. Choosing a modern software architecture. Software is eating the world, as Marc Andreessen famously stated in his 2011 WSJ article , and the cloud is the main mechanism for that push these days. Be honest with yourself: how is that going? Monetizing data 3.

Digital Transformation 93

Digital Transformation Data-driven ROI Software 93

The Unofficial Google Data Science Blog

JULY 11, 2017

SCOTT Time series data are everywhere, but time series modeling is a fairly specialized area within statistics and data science. This post describes the bsts software package, which makes it easy to fit some fairly sophisticated time series models with just a few lines of R code. by STEVEN L. Forecasting (e.g.

Forecasting 64

Forecasting Statistics Modeling Software 64

Sisense

JULY 1, 2021

Marketing technology tools (also referred to as MarTech tools) have multiplied from about 150 in 2011 to around 8,000 today, a 5,233% increase that sends a clear message: Marketers are embracing digital assistance and data/analytics. In a world of rapid technological change, digital tools for marketers are having a moment.

Marketing 52

Marketing Experimentation Marketing Analytics ROI 52

Ontotext

JULY 29, 2021

One of its pillars are ontologies that represent explicit formal conceptual models, used to describe semantically both unstructured content and databases. If you’ve enjoyed the efficiency of rich snippets, you’ve enjoyed the riches schema.org ( based on RDF ) brings to the world of search since 2011.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

datapine

AUGUST 29, 2022

Best for : Software engineers looking to learn the fundamentals of designing data-intensive applications, the pros, and cons of the different technologies available, as well as key concepts needed to succeed in the process. Try our big data analytics software for a 14-days free trial today!

Big Data 263

Big Data Data Analytics Analytics Data mining 263

BizAcuity

MAY 10, 2022

VMs are nothing but systems that work as computers (using hardware or software) to provide an additional computational environment for enterprises. Amazon strategically went with the pricing model of ‘on-demand’, allowing developers to pay only as-per their computational needs. 2011: IBM enters the cloud market with IBM SmartCloud.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Domino Data Lab

MARCH 3, 2019

What’s been the impact of using ML models on culture and organization? Who builds their models? We also used maturity , in other words how long had an enterprise organization been deploying ML models in production? Typical product management and software engineering approaches simply don’t apply well to data practices.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Occam's Razor

FEBRUARY 22, 2010

Feel better? : ) When should you start doing paid search advertising for tours to Italy for 2011? to gather panel data, a company may recruit participants to be in a panel, and each panel member installs a piece of monitoring software. challenge : Monitoring software (overt or covert) was built when the Web was static and page-based.

Metrics 123

Metrics Advertising Reporting Software 123

Domino Data Lab

JULY 9, 2019

Diving into examples of building and deploying ML models at The New York Times including the descriptive topic modeling-oriented Readerscope (audience insights engine), a prediction model regarding who was likely to subscribe/cancel their subscription, as well as prescriptive example via recommendations of highly curated editorial content.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

O'Reilly on Data

MAY 21, 2019

Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. For example, in a July 2018 survey that drew more than 11,000 respondents, we found strong engagement among companies: 51% stated they already had machine learning models in production.

Machine Learning 238

Machine Learning Technology Deep Learning Data Science 238

IBM Big Data Hub

FEBRUARY 8, 2024

Through pumped storage hydropower, an energy storage model dating back to the 1890s, water flows between two water reservoirs at different elevations. The company, which has also invested in on-site solar photovoltaic systems, uses software to streamline data on its renewable energy efforts. link resides outside ibm.com), IPCC, 2011.

Manufacturing 78

Manufacturing Reporting Data-driven Technology 78

Alation

FEBRUARY 20, 2020

The Forrester report looks at 29-criteria to evaluate machine learning data catalog providers and identifies “the 12 most significant ones — Alation, Cambridge Semantics, Cloudera, Collibra, Hortonworks, IBM, Infogix, Informatica, Oracle, Reltio, Unifi Software, and Waterline Data.”. Alation Named a Leader in Machine Learning Data Catalogs.

Machine Learning 52

Machine Learning Marketing Reporting ROI 52

CIO Business Intelligence

JUNE 1, 2023

Here are a few outcomes from HPC’s groundbreaking capabilities: HPC modeling and simulation help engineers test jet engines without destroying a single $10-40 million jet engine. HPC is catalyzing breakthroughs for some of the world’s most complex and pressing challenges with incredible speed and precision.

ROI 111

ROI Cost-Benefit Machine Learning Testing 111

AWS Big Data

APRIL 5, 2023

The serverless model was also compelling because we did not have to pay for server instances nor license fees per reader. Because QuickSight is serverless and uses a session-based pricing model, Showpad expects to see cost savings. With QuickSight, we pay for usage. This makes it easy for us to provide access to everyone by default.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52