Cloudera

JANUARY 28, 2022

As I meet with our customers, there are always a range of discussions regarding the use of the cloud for financial services data and analytics. Customers vary widely on the topic of public cloud – what data sources, what use cases are right for public cloud deployments – beyond sandbox, experimentation efforts.

Slice and Dice 118

Slice and Dice Cost-Benefit Risk Data Governance 118

CIO Business Intelligence

AUGUST 17, 2023

We’ve been shortlisting and building out potential proof-of-concept options and modelling revenue impact and already taken one concept through our innovation lab and into live production.” We ran workshops with every division of our business, educating them on the accelerating innovation in this area, brainstorming opportunities and risks.

Risk 98

Risk Cost-Benefit Strategy Experimentation 98

Ontotext

NOVEMBER 2, 2023

The pathway forward doesn’t require ripping everything out but building a semantic “graph” layer across data to connect the dots and restore context. However, it will take effort to formalize a shared semantic model that can be mapped to data assets, and turn unstructured data into a format that can be mined for insight.

IT 69

IT Cost-Benefit Data-driven Technology 69

Sisense

MARCH 26, 2021

Companies surveyed by Harvard Business Review Analytic Services (HBR) report that two of the most important strategic benefits of using data analytics are (1) identifying new revenue and business models and (2) becoming more innovative. 39% of companies want to identify new revenue and business opportunities with data analytics.

Analytics 98

Analytics Data-driven Dashboards Experimentation 98

DataRobot

DECEMBER 16, 2021

It is precisely because of the large volume and complexities of navigating unstructured data that DataRobot has focused on assisting our users to unlock insights from text. Use DataRobot’s intelligent AutoML in either supervised or unsupervised modes with your text data (and combine them with other types of data!)

Experimentation 98

Experimentation Unstructured Data Deep Learning Modeling 98

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Meta-Orchestration . Acquired by DataRobot June 2019).

Testing 300

Testing Machine Learning Consulting Data Quality 300

Cloudera

NOVEMBER 25, 2020

Sample and treatment history data is mostly structured, using analytics engines that use well-known, standard SQL. Interview notes, patient information, and treatment history is a mixed set of semi-structured and unstructured data, often only accessed using proprietary, or less known, techniques and languages.

Data Warehouse 59

Data Warehouse Unstructured Data Analytics Visualization 59

AWS Big Data

JULY 3, 2023

Terminology Let’s first discuss some of the terminology used in this post: Research data lake on Amazon S3 – A data lake is a large, centralized repository that allows you to manage all your structured and unstructured data at any scale. Sell 1 (PVH, PVH) 2022-09-06 18321.729571 55.15

Snapshot 85

Snapshot Data Lake Testing Strategy 85

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. In other words, using metadata about data science work to generate code. Using ML models to search more effectively brought the search space down to 102—which can run on modest hardware. Introduction.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

AWS Big Data

JULY 20, 2023

To overcome these issues, Orca decided to build a data lake. A data lake is a centralized data repository that enables organizations to store and manage large volumes of structured and unstructured data, eliminating data silos and facilitating advanced analytics and ML on the entire data.

Data Lake 89

Data Lake Analytics Snapshot Optimization 89

Occam's Razor

NOVEMBER 5, 2007

For a person such as myself who came from the traditional Data Warehouse and Business Intelligence worlds that was a non-trivial mental model transformation. I have already presented my mental model for Web Analytics 2.0. Experimentation & Testing : Google Website Optimizer, Offermatica, Optimost etc.

Analytics 98

Analytics Experimentation Metrics Measurement 98

CIO Business Intelligence

AUGUST 1, 2023

The impact of generative AIs, including ChatGPT and other large language models (LLMs), will be a significant transformation driver heading into 2024. This opportunity is greater today because of generative AI, especially when CIOs centralize unstructured data in an LLM and enable service agents to ask and answer customers’ questions.

Digital Transformation 98

Digital Transformation Unstructured Data Strategy Experimentation 98

CIO Business Intelligence

MARCH 6, 2023

Advancements in analytics and AI as well as support for unstructured data in centralized data lakes are key benefits of doing business in the cloud, and Shutterstock is capitalizing on its cloud foundation, creating new revenue streams and business models using the cloud and data lakes as key components of its innovation platform.

Data Lake 77

Data Lake Cost-Benefit Recreation/Entertainment Experimentation 77

Cloudera

OCTOBER 8, 2020

But knowing what to do with that data, and how to do it, is another thing entirely. . Poor data quality costs upwards of $3.1 Ninety-five percent of businesses cite the need to manage unstructured data as a real problem. By 2025 nearly all data generated will be in real-time. trillion a year. It was not easy.

Digital Transformation 109

Digital Transformation Experimentation Unstructured Data Uncertainty 109