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

BizAcuity

MAY 10, 2022

Companies planning to scale their business in the next few years without a definite cloud strategy might want to reconsider. VMs are nothing but systems that work as computers (using hardware or software) to provide an additional computational environment for enterprises. 2011: IBM enters the cloud market with IBM SmartCloud.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Hurwitz & Associates

APRIL 19, 2018

At a recent global industry analyst meeting, Atos shared its positioning strategy that it calls the Digital Transformation Factory. This strategy is intended to bring together all the elements of Atos’ expansive software and services offerings. Partnerships are at the core of Atos’s business strategy.

IT 40

IT Consulting IoT Strategy 40

AWS Big Data

APRIL 5, 2023

The company decided to use AWS to unify its business intelligence (BI) and reporting strategy for both internal organization-wide use cases and in-product embedded analytics targeted at its customers. The serverless model was also compelling because we did not have to pay for server instances nor license fees per reader.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

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

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

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? That represents a significant shift in strategy and cloud providers stand to benefit. Management.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

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

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 115

IT Technology Modeling Strategy 115

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 80

Risk Digital Transformation Software ROI 80

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. Downey (2011). They use data infrastructure at work.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

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