O'Reilly on Data

FEBRUARY 4, 2019

In practice this means developing a coherent strategy for integrating artificial intelligence (AI), big data, and cloud components, and specifically investing in foundational technologies needed to sustain the sensible use of data, analytics, and machine learning. Data Platforms.

Machine Learning 277

Machine Learning Enterprise IoT Big Data 277

AWS Big Data

JULY 25, 2023

Today, in order to accelerate and scale data analytics, companies are looking for an approach to minimize infrastructure management and predict computing needs for different types of workloads, including spikes and ad hoc analytics. For Host , enter the Redshift Serverless endpoint’s host URL. This is optional.

Data Analytics 52

Data Analytics Data Warehouse Analytics Data Processing 52

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . QuerySurge – Continuously detect data issues in your delivery pipelines. Meta-Orchestration .

Testing 307

Testing Machine Learning Consulting Data Quality 307

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. Data exploration Data exploration helps unearth inconsistencies, outliers, or errors.

Data Strategy 67

Data Strategy Strategy Data Warehouse Prescriptive Analytics 67

Andrew White

JANUARY 9, 2022

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. To drive a successful Data Analytics strategy do you think it is a multidisciplinary activity and if so, what additional roles would you expect to see involved. We write about data and analytics.

Analytics 64

Analytics Measurement Modeling Data-driven 64

IBM Big Data Hub

OCTOBER 20, 2023

AI platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models. Will it be implemented on-premises or hosted using a cloud platform? What types of features do AI platforms offer?

Machine Learning 79

Machine Learning Manufacturing Cost-Benefit Deep Learning 79

datapine

FEBRUARY 22, 2022

Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on. For this purpose, you can think about a data governance strategy. Ensure data literacy.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218