Cloudera

AUGUST 30, 2022

The reality is that we cannot take multiple years to realize an ROI as the industry is moving too quickly. The reality is that we cannot take multiple years to realize an ROI as the industry is moving too quickly. Leverage cloud where it makes sense, not because it’s fashionable. Embrace incremental progress.

Strategy 108

Strategy Data Strategy ROI Cost-Benefit 108

AWS Big Data

MARCH 25, 2024

Foundation models (FMs) are large machine learning (ML) models trained on a broad spectrum of unlabeled and generalized datasets. FMs, as the name suggests, provide the foundation to build more specialized downstream applications, and are unique in their adaptability. Batch processing is not the best fit in this scenario.

Data Lake 86

Data Lake Unstructured Data Management Modeling 86

Octopai

JULY 9, 2020

Your Guide to Machine Learning Data Lineage for BI: From Source to Target. Automated Data Lineage can fix that Learn How. For others, it is essential to meeting crucial industry regulations. A key piece of legislation that emerged from that crisis was BCBS-239.

Insurance 86

Insurance Risk Management Machine Learning Metadata 86

CIO Business Intelligence

AUGUST 9, 2023

Digital transformation became a key strategic initiative in the mid-2010s, as mobile communications, cloud, data analytics, and other advanced information technologies took off, enabling businesses and consumers to easily engage via digital channels.

Digital Transformation 137

Digital Transformation Strategy Data-driven Consulting 137

O'Reilly on Data

JULY 28, 2020

It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. The Core Responsibilities of the AI Product Manager. Product managers for AI must satisfy these same responsibilities, tuned for the AI lifecycle. Identifying the problem. Agreeing on metrics.

Marketing 362

Marketing Experimentation Metrics Testing 362

IBM Big Data Hub

AUGUST 7, 2023

This article, part of the IBM and Pfizer’s series on the application of AI techniques to improve clinical trial performance, focuses on enrollment and real-time forecasting. Efficient clinical trial site selection continues to be a prominent industry-wide challenge. This is in line with existing sector benchmarks.

Optimization 60

Optimization Forecasting Data-driven Strategy 60

Insight

OCTOBER 25, 2019

Image credit: [link] As the title suggests, this is a story about a question that may resonate well with many machine learning practitioners trying to build applications in the real world, where clean and annotated data on a specific problem can be sparse— How do we leverage the power of AI when we have very little data?

Snapshot 57

Snapshot Testing Deep Learning Visualization 57

CIO Business Intelligence

MAY 1, 2024

Gen AI takes us from single-use models of machine learning (ML) to AI tools that promise to be a platform with uses in many areas, but you still need to validate they’re appropriate for the problems you want solved, and that your users know how to use gen AI effectively. Pilots can offer value beyond just experimentation, of course.

Cost-Benefit 141

Cost-Benefit Metrics Insurance Measurement 141

AWS Big Data

MAY 23, 2023

Detecting anomalies in real time from high-throughput streams is key for informing on timely decisions in order to adapt and respond to unexpected scenarios. Another key challenge that anomaly detection systems face is concept drift. The majority of these use cases require actions to be taken in near real-time.

Data Analytics 88

Data Analytics Analytics Visualization Key Performance Indicator 88

CIO Business Intelligence

JUNE 30, 2022

For instance, IDC found that 84 ZB of data was created, captured, or replicated in 2021, but just 10% of that data could have been used for analysis or artificial intelligence (AI) and Machine Learning (ML) models 1. This is key to gaining a competitive advantage in the post-digital era. Now, it’s the metaverse.

IoT 84

IoT Forecasting Internet of Things Machine Learning 84

CIO Business Intelligence

JULY 5, 2022

For instance, IDC found that 84 ZB of data was created, captured, or replicated in 2021, but just 10% of that data could have been used for analysis or artificial intelligence (AI) and Machine Learning (ML) models 1. This is key to gaining a competitive advantage in the post-digital era. Now, it’s the metaverse.

IoT 83

IoT Forecasting Internet of Things Machine Learning 83

AWS Big Data

SEPTEMBER 13, 2023

Use case overview AnyCompany Travel and Hospitality wanted to build a data processing framework to seamlessly ingest and process data coming from operational databases (used by reservation and booking systems) in a data lake before applying machine learning (ML) techniques to provide a personalized experience to its users.

Data Lake 87

Data Lake Data Processing Metadata Snapshot 87

datapine

MARCH 25, 2022

Table of Contents. 1) What Is Business Intelligence And Analytics? 2) BI vs BA As Seen Through Football. 3) BI And BA Main Differences. 4) How Do BI And BA Apply To Business? 5) BI And BA Use-Case Scenarios. 6) BI And BA Examples. If you feel a bit uncertain about the specifics here, you’re not alone, experts aren’t in agreement either!

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

IBM Big Data Hub

MAY 9, 2023

After some impressive advances over the past decade, largely thanks to the techniques of Machine Learning (ML) and Deep Learning , the technology seems to have taken a sudden leap forward. Suddenly, everybody is talking about generative AI: sometimes with excitement, other times with anxiety. But why now?

Data Warehouse 107

Data Warehouse Cost-Benefit Machine Learning Modeling 107

Smart Data Collective

SEPTEMBER 8, 2021

There are two types of transformations that can be carried out on the data: Basic Transformations like Consolidation, Filtering, Data Cleansing, and Standardizations or Advanced Transformations like Duplication, Key Restructuring, and Using Lookups to Merge Data. Understanding the ETL Process. Types of ETL Tools.

Data Warehouse 96

Data Warehouse Data Integration Marketing Software 96

AWS Big Data

MARCH 20, 2023

Its community of more than 80 million registered users across the US, Canada, Australia, and India is driving a more sustainable future for the fashion industry. An important goal to achieve for any organization is to grow the top line revenue. An important goal to achieve for any organization is to grow the top line revenue.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 52

Cloudera

SEPTEMBER 15, 2022

There are also newer AI/ML applications that need data storage, optimized for unstructured data using developer friendly paradigms like Python Boto API. Apache Ozone caters to both these storage use cases across a wide variety of industry verticals, some of which include: . Diversity of workloads.

Metadata 90

Metadata Big Data Optimization Unstructured Data 90

Occam's Razor

APRIL 30, 2018

Today something complex, advanced, that is most applicable to those who are at the edges of spending money, and thus have an intricate web of internal and external teams to deliver customer engagement and business success. The Marketing Industrial Empire is made up of number of components. It’s so easy for each little piece (you!)

Advertising 117

Advertising Metrics Measurement Insurance 117

The Unofficial Google Data Science Blog

JULY 18, 2023

While human-labeled data is critical to many important applications, it also brings many challenges. by MICHAEL QUINN, JEREMY MILES, KA WONG As data scientists, we often encounter situations in which human judgment provides the ground truth. Some of this data is human-labeled. How funny was that joke? How beautiful is that song?

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

O'Reilly on Data

JANUARY 25, 2021

In this report, we look at the data generated by the O’Reilly online learning platform to discern trends in the technology industry—trends technology leaders need to follow. Trendy, fashionable things are often a flash in the pan, forgotten or regretted a year or two later (like Pet Rocks or Chia Pets ). But what are “trends”?

Machine Learning 363

Machine Learning Software Testing Technology 363

CIO Business Intelligence

JANUARY 24, 2024

These autonomous software agents, working collaboratively in a decentralized fashion, are not just a technological marvel; they are an imperative response to the escalating complexity of today’s challenges. Our commitment to continuous learning drives our expertise. For instance, studies such as “Advances in Swarm” (2020) by Y.

IoT 102

IoT Machine Learning Optimization Internet of Things 102

Cloudera

FEBRUARY 22, 2021

Providing a comprehensive set of diverse analytical frameworks for different use cases across the data lifecycle (data streaming, data engineering, data warehousing, operational database and machine learning) while at the same time seamlessly integrating data content via the Shared Data Experience (SDX), a layer that separates compute and storage.

Cost-Benefit 80

Cost-Benefit Data Warehouse Data Processing Data Governance 80