Smarten

NOVEMBER 3, 2017

The world of business analytics has changed dramatically in the past few years. If your business is looking to upgrade BI tools or to begin implementing an analytics solution, the solution must be user friendly for business users. These tools are necessary to business success in today’s market.

Analytics 40

Analytics Visualization Experimentation Cost-Benefit 40

DataRobot

JANUARY 13, 2022

To move from experimental AI to production-level, trustworthy, and ROI-driven AI, it’s vital to align data scientists, business analysts, domain experts, and business leaders to leverage overlapping expertise from these groups. This frees up data scientists to focus on more complex analytical tasks. Download Now.

ROI 52

ROI Machine Learning Experimentation Data Science 52

DataRobot Blog

AUGUST 10, 2022

As Integrated Care Systems (ICSs) in England officially launch, we take a look at the key opportunities presented to ICS regions to harness cutting-edge modern and integrated analytical frameworks to accelerate the attainment of operating efficiencies, the modernisation of care pathways, and the improvement of patient outcomes.

Forecasting 52

Forecasting Experimentation Data-driven Risk 52

Data Science and Beyond

JULY 22, 2018

Kaggle was only about predictive modelling competitions back then, and so I believed that data science is about using machine learning to build models and deploy them as part of various applications. My understanding of data science at the time was heavily influenced by Kaggle and the tech industry.

Data Science 79

Data Science Machine Learning Statistics Predictive Modeling 79

AWS Big Data

NOVEMBER 14, 2023

With a combination of low-latency data streaming and analytics, they are able to understand and personalize the user experience via a seamlessly integrated, self-reliant system for experimentation and automated feedback. The probability results are also stored in Amazon S3 to continuously retrain the model in SageMaker.

IoT 55

IoT Data-driven Data Lake Data Strategy 55

Smarten

JULY 3, 2017

For others, the image may be of an organization run amuck with business users leveraging sophisticated advanced analytics tools to create and share data that may be misinterpreted or distributed improperly. The term may conjure up images of novices trying to do the work of someone with years of training and failing miserably in the process.

Visualization 40

Visualization Predictive Modeling Business Intelligence Experimentation 40

Occam's Razor

NOVEMBER 17, 2008

There is a tendency to think experimentation and testing is optional. ClickStream analysis with Omniture or Google Analytics or ClickTracks is well and good, testing will get you on the path of taking having a direct impact faster. If your analytics career is flagging then testing is the Viagra you need to take. Seriously. : ).

Testing 112

Testing Experimentation Risk Optimization 112

O'Reilly on Data

SEPTEMBER 11, 2019

Strata attracts the leading names in the fields of data management, data engineering, analytics, ML, and artificial intelligence (AI). 2 in frequency in proposal topics; a related term, “models,” is No. Terms that relate to data engineering, data management, and data analytics dominate the top tiers of proposal topics.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

DataRobot

JANUARY 20, 2022

. — Snowflake and DataRobot AI Cloud Platform is built around the need to enable secure and efficient data sharing, the integration of disparate data sources, and the enablement of intuitive operational and clinical predictive analytics. Building data communities. Data-driven clinicians and healthcare professionals. .

Data-driven 145

Data-driven Experimentation Modeling Predictive Modeling 145