CIO Business Intelligence

FEBRUARY 6, 2023

Other key resources that benefit the customer experience include BI and analytics for anything from actuarial pricing to risk selection and customer intelligence, the CIO says. The Virtual Enrollment Experience is fulfilled via a microsite customized for each account and is hosted in the cloud (AWS).

Insurance 132

Insurance IT Digital Transformation Machine Learning 132

Timo Elliott

JANUARY 4, 2021

I recently participated in a web seminar on the Art and Science of FP&A Storytelling, hosted by the founder and CEO of FP&A Research Larysa Melnychuk along with other guests Pasquale della Puca , part of the global finance team at Beckman Coulter and Angelica Ancira , Global Digital Planning Lead at PepsiCo. What typically goes wrong?

Dashboards 139

Dashboards Visualization Data-driven Forecasting 139

O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools.

Management 327

Management Machine Learning Experimentation Metrics 327

CIO Business Intelligence

OCTOBER 18, 2023

So as a fundamental part of its goal to be data-driven, for example, the company is in the midst of implementing a platform that can host all analytical capabilities. Main technologies With a project of such magnitude, the technologies applied have been vast and varied.

Digital Transformation 128

Digital Transformation Insurance Interactive Sales 128

datapine

SEPTEMBER 27, 2022

We have already given you our top data visualization books , top business intelligence books , and best data analytics books. Now it’s time to ponder over our hand-picked list of the 20 best SQL learning books available today. With a MySQL dashboard builder , for example, you can connect all the data with a few clicks.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

FineReport

APRIL 26, 2023

In this article, we will explore the importance of Big Data, why enterprises need Big Data tools, how to choose the right Big Data analytics tools and provide a list of the top 10 Big Data analytics tools available today. Descriptive Analytics is used to determine “what happened and why.” What is Big Data?

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

AWS Big Data

MAY 10, 2023

A write-back is the ability to update a data mart, data warehouse, or any other database backend from within BI dashboards and analyze the updated data in near-real time within the dashboard itself. AnyCompany wants to build a new dashboard with quote history data for analysis and business insights.

Dashboards 77

Dashboards Data Warehouse Visualization Data Processing 77

Business Over Broadway

MAY 22, 2019

I was invited as a guest in a weekly tweet chat that is hosted by Annette Franz and Sue Duris. I conducted a customer experience best practices study and found that loyalty leading companies focus analytics efforts on customer understanding rather than internal metrics. If you have never been involved in a tweet chat, I recommend it.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

Cloudera

JULY 24, 2023

In their effort to reduce their technology spend, some organizations that leverage open source projects for advanced analytics often consider either building and maintaining their own runtime with the required data processing engines or retaining older, now obsolete, versions of legacy Cloudera runtimes (CDH or HDP).

Analytics 68

Analytics Testing Metrics Management 68

Cloudera

APRIL 6, 2022

AI requires good data and strong training algorithms, such as through machine learning, to make decisions about what data to send back to decision-makers. The goal is to use machine learning to extract features of relevance — such as browning crops, or rising waters — to plot change between images within seconds.

Big Data 106

Big Data Machine Learning Insurance Data Processing 106

datapine

MARCH 31, 2022

Moreover, companies that use BI analytics are five times more likely to make swifter, more informed decisions. On the flip side, if you enjoy diving deep into the technical side of things, with the right mix of skills for business intelligence you can work a host of incredibly interesting problems that will keep you in flow for hours on end.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

AWS Big Data

AUGUST 16, 2023

Automated Data Analytics (ADA) on AWS is an AWS solution that enables you to derive meaningful insights from data in a matter of minutes through a simple and intuitive user interface. ADA offers an AWS-native data analytics platform that is ready to use out of the box by data analysts for a variety of use cases.

Data Analytics 78

Data Analytics Analytics Visualization Software 78

Laminar Security

DECEMBER 11, 2023

DDR is a data security solution that leverages artificial intelligence, machine learning, and behavioral analytics to monitor, detect, and respond to data activity across endpoints, networks, cloud, and applications. Does the solution reduce false positives and noise by using advanced analytics and intelligence?

Behavioral Analytics 55

Behavioral Analytics Machine Learning Risk Cost-Benefit 55

AWS Big Data

MAY 31, 2024

Amazon OpenSearch Serverless is a powerful and scalable search and analytics engine that can significantly contribute to the development of search applications. OpenSearch Serverless also supports OpenSearch Dashboards, which provides an intuitive interface for analyzing data. The user signs in with their credentials.

Metadata 87

Metadata Management Testing Data-driven 87

Alation

JULY 13, 2021

We have seen the COVID-19 pandemic accelerate the timetable of cloud data migration , as companies evolve from the traditional data warehouse to a data cloud, which can host a cloud computing environment. runs Advanced Analytics at TDWI. This recent cloud migration applies to all who use data. Fern Halper, Ph.D. Pre-Migration Prep.

Strategy 52

Strategy Data mining Structured Data Data Governance 52

Rita Sallam

APRIL 2, 2023

We explored these questions and more at our Bake-Offs and Show Floor Showdowns at our Data and Analytics Summit in Orlando with 4,000 of our closest D&A friends and family. The first featured analytics and BI platform Gartner Magic Quadrant leaders while the other showcased high interest data science and machine learning platforms.

Optimization 52

Optimization Machine Learning Insurance Risk 52

Rita Sallam

JUNE 2, 2023

We explored these questions and more at our Bake-Offs and Show Floor Showdowns at our Data and Analytics Summit in London with 3,700 of our closest D&A friends and family. We did two Bake-Offs at the Gartner Data and Analytics Summit in London last week. The answer to the first question is: I knew it!!

Optimization 52

Optimization Insurance Machine Learning Risk 52

IBM Big Data Hub

FEBRUARY 2, 2023

They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights. This enabled data-driven analytics at scale across the organization 4.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

AWS Big Data

JANUARY 9, 2024

2023 was a year of rapid innovation within the artificial intelligence (AI) and machine learning (ML) space, and search has been a significant beneficiary of that progress. He leads the product initiatives for AI and machine learning (ML) on OpenSearch including OpenSearch’s vector database capabilities.

Visualization 94

Visualization Cost-Benefit Modeling Machine Learning 94

Cloudera

OCTOBER 3, 2022

You’ve found an awesome data set that you think will allow you to train a machine learning (ML) model that will accomplish the project goals; the only problem is the data is too big to fit in the compute environment that you’re using. <end code block> Launching workers in Cloudera Machine Learning. Prerequisites.

Machine Learning 92

Machine Learning Dashboards Data Processing Data Science 92

AWS Big Data

MARCH 13, 2024

RAG is a machine learning (ML) architecture that uses external documents (like Wikipedia) to augment its knowledge and achieve state-of-the-art results on knowledge-intensive tasks. After you review the cluster configuration, select the jump host as the target for the run command. zst`; do zstd -d $F; done rm *.zst

Data Processing 113

Data Processing Dashboards Machine Learning Management 113

AWS Big Data

JULY 14, 2023

This post provides a simple and quick way of building an extendable analytical system using Amazon QuickSight to better manage lines of business (LOBs) with a detailed list of business capabilities and APIs, deep analytical insights, and desired graphical visualizations from different dimensions.

Modeling 73

Modeling Visualization Reporting Measurement 73

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. Modern analytics is much wider than SQL-based data warehousing. Solution overview AWS SCT uses a service account to connect to your Azure Synapse Analytics.

Analytics 98

Analytics Data Warehouse Testing Dashboards 98

Ontotext

NOVEMBER 22, 2020

Ontotext is also on the list of vendors supporting knowledge graph capabilities in their “2021 Planning Guide for Data Analytics and Artificial Intelligence” report. Continuous Data Operations and Data Management for Analytics and Master Data Management. Developer-Friendly Semantic Technology.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

AWS Big Data

FEBRUARY 7, 2024

Amazon OpenSearch Service is a fully managed search and analytics service powered by the Apache Lucene search library that can be operated within a virtual private cloud (VPC). The workflow consists of the following steps: The user navigates to the OpenSearch Dashboards URL in their browser.

Dashboards 84

Dashboards Data Processing Metadata Consulting 84

AWS Big Data

JULY 26, 2023

This could be what the use cases are (for example, ad hoc queries, dashboard, or troubleshooting), how much data to process (for example, 1 TB per day), what kinds of data, how many different data sources to pull from, how much data latency to accept to make it queryable (for example, 15 minutes), and so on.

Data Integration 74

Data Integration Snapshot Testing Visualization 74

AWS Big Data

MARCH 2, 2023

We encourage you to further explore the features of the API Gateway WebSocket API to add in security using authorizers , view live invocations using dashboards, and expand the framework for more routes on action request. See the following code: def signed_get_url(event): s3 = boto3.client('s3', Let’s stay in touch via the GitHub repo.

Data Lake 78

Data Lake Testing Interactive Unstructured Data 78

DataKitchen

APRIL 13, 2021

Process Analytics. 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. . Dagster / ElementL — A data orchestrator for machine learning, analytics, and ETL. .

Testing 300

Testing Machine Learning Consulting Data Quality 300

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 86

Enterprise Data Warehouse Snapshot Cost-Benefit 86

IBM Big Data Hub

JULY 24, 2023

This has led to an increase in the importance of IT operations analytics (ITOA), the data-driven process by which organizations collect, store and analyze data produced by their IT services. Organizations can use all this data to understand the overall health of their system through IT operations analytics. billion business.

IT 54

IT Analytics Cost-Benefit Predictive Analytics 54

AWS Big Data

MARCH 20, 2023

In this post, we share how Poshmark improved CX and accelerated revenue growth by using a real-time analytics solution. High-level challenge: The need for real-time analytics Previous efforts at Poshmark for improving CX through analytics were based on batch processing of analytics data and using it on a daily basis to improve CX.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 52

CIO Business Intelligence

JANUARY 20, 2023

BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business. Business intelligence examples Reporting is a central facet of BI and the dashboard is perhaps the archetypical BI tool.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

DataKitchen

NOVEMBER 29, 2021

As a result, enterprises will examine their end-to-end data operations and analytics creation workflows. In other words, they will use DataOps principles to build a platform that creates a robust, transparent, efficient, repeatable analytics process hub that unifies all workflows. The Great Resignation Hits Data & Analytics.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

AWS Big Data

MAY 7, 2024

As you experience the benefits of consolidating your data governance strategy on top of Amazon DataZone, you may want to extend its coverage to new, diverse data repositories (either self-managed or as managed services) including relational databases, third-party data warehouses, analytic platforms and more.

Metadata 76

Metadata Data Lake Data Processing Data-driven 76

CIO Business Intelligence

MAY 28, 2022

And that is in no small part thanks to the vision of James McGlennon, who in his role as CIO of Liberty Mutual for past 17 years has led the charge to the cloud, analytics, and AI with a budget north of $2 billion. We’re doing a lot on AI and machine learning and robotics. We’re focused on augmented reality and virtual reality.

Insurance 145

Insurance Machine Learning Digital Transformation Cost-Benefit 145

datapine

MARCH 25, 2019

To help you understand the potential of analysis and how you can use it to enhance your business practices, we will answer a host of important analytical questions. This is one of the most important data analytics techniques as it will shape the very foundations of your success. Harvest your data.

Key Performance Indicator 217

Key Performance Indicator Statistics Visualization Big Data 217

datapine

DECEMBER 11, 2019

Within business scenarios, artificial intelligence (as well as machine learning, in many cases) provides an advanced degree of responsiveness and interaction between businesses, customers, and technology, driving AI-based SaaS trends 2020 onto a new level. How will AI improve SaaS in 2020? 2) Vertical SaaS.

Software 314

Software Cost-Benefit Data Processing Data-driven 314