Cloudera

APRIL 24, 2023

To this six-part series, where we’ll look at how to get control of the health of your Cloudera Data platform (CDP) environment. With each blog we’ll outline the symptoms and root causes of common environmental health challenges and prescribe solutions. That’s observability. We’ve done it too. We confess.

Scorecard 81

Scorecard Data Architecture Dashboards Measurement 81

Ontotext

DECEMBER 15, 2023

This post describes our approach to developing such a taxonomy by integrating and coreferencing data from numerous sources. Here we need to filter out non-AI topics ( search-engine compression ), and we find some more recent topics ( llm llama ) as well as very specialized topics that pertain only to this library (e.g.,

Machine Learning 69

Machine Learning Interactive Deep Learning Statistics 69

IBM Big Data Hub

FEBRUARY 2, 2024

Not an easy task when you need to celebrate the achievements and stories of more than 1,000 nominees across nearly 100 categories. A generative AI content engine fueled by trusted data This year’s solution uses watsonx to leverage a powerful large language model (LLM) hosted in the watsonx.ai

Recreation/Entertainment 61

Recreation/Entertainment Broadcasting Consulting Dashboards 61

Rocket-Powered Data Science

FEBRUARY 15, 2023

Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. These changes may include requirements drift, data drift, model drift, or concept drift. A business-disruptive ChatGPT implementation definitely fits into this category: focus first on the MVP or MLP.

Strategy 289

Strategy Experimentation Uncertainty Machine Learning 289

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Testing and Data Observability. Download the 2021 DataOps Vendor Landscape here.

Testing 307

Testing Machine Learning Consulting Data Quality 307

AWS Big Data

APRIL 24, 2023

Building a data lake on Amazon Simple Storage Service (Amazon S3) provides numerous benefits for an organization. However, many use cases, like performing change data capture (CDC) from an upstream relational database to an Amazon S3-based data lake, require handling data at a record level.

Data Lake 79

Data Lake Data Governance Cost-Benefit Machine Learning 79

IBM Big Data Hub

APRIL 25, 2023

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures.

Optimization 57

Optimization Strategy Data Warehouse Cost-Benefit 57

DataRobot

AUGUST 25, 2021

In a recent blog, we talked about how, at DataRobot , we organize trust in an AI system into three main categories: trust in the performance in your AI/machine learning model , trust in the operations of your AI system, and trust in the ethics of your modelling workflow, both to design the AI system and to integrate it with your business process.

Metrics 98

Metrics Measurement Machine Learning Data Collection 98

AWS Big Data

OCTOBER 10, 2023

Data governance is the process of ensuring the integrity, availability, usability, and security of an organization’s data. Due to the volume, velocity, and variety of data being ingested in data lakes, it can get challenging to develop and maintain policies and procedures to ensure data governance at scale for your data lake.

Data Quality 89

Data Quality Data Governance Data Lake Testing 89

AWS Big Data

MARCH 29, 2024

Real-time data streaming and event processing present scalability and management challenges. AWS offers a broad selection of managed real-time data streaming services to effortlessly run these workloads at any scale. By bundling all these functions together, the engine became difficult to manage and improve.

Cost-Benefit 89

Cost-Benefit Data-driven Metrics Management 89

AWS Big Data

NOVEMBER 22, 2023

Apache Hudi is an open table format that brings database and data warehouse capabilities to data lakes. Apache Hudi helps data engineers manage complex challenges, such as managing continuously evolving datasets with transactions while maintaining query performance.

Data Lake 91

Data Lake Snapshot Metadata Optimization 91

Cloudera

NOVEMBER 24, 2020

This year, OVO has done just that, setting itself apart to win the Data Champions category at our 2020 Data Impact Awards. The Data Champions category is for those solutions that are bringing the best of both agility and risk mitigation together, to support multiple use cases.

Insurance 72

Insurance Marketing Risk Finance 72

The Data Visualisation Catalogue

OCTOBER 18, 2021

All three charts display coloured bands (or flow-paths), whose widths are proportional to the quantities the category of a band represents. Irish engineer and captain Matthew Henry Phineas Riall Sankey first developed the Sankey Diagram to demonstrate (in 1898) the energy efficiency of a steam engine. Sankey Diagrams.

Visualization 94

Visualization IT 94

The Data Visualisation Catalogue

JANUARY 24, 2023

Therefore, I wanted to comment on the rise of ChatGPT and how I think AI tools could impact data visualisation work now and in the future, as I believe it’s significant. After consuming a number of YouTube videos, blog posts, articles, and playing around with ChatGPT, I felt the need to write down my thoughts and observations on the topic.

Visualization 114

Visualization Interactive Data-driven Testing 114

Cloudera

JULY 21, 2021

In the build-up to this year’s Data Impact Awards, we’re looking back at last year’s winners. Last year’s awards saw OVO crowned as Data Champions. OVO – 2020’s Data Champion award winner . To do this, OVO built UnCover, a contextual offer engine capable of processing the large-scale volumes of data generated by its users.

Insurance 93

Insurance Data-driven Machine Learning Marketing 93

DataRobot Blog

JULY 13, 2022

This marks a full decade since some of the brightest minds in data science formed DataRobot with a singular vision: to unlock the potential of AI and machine learning for all—for every business, every organization, every industry—everywhere in the world. How to Thrive in the Age of Data Dominance. 10 Keys to AI Success. Download Now.

Machine Learning 105

Machine Learning Marketing Data Science Reporting 105

IBM Big Data Hub

MARCH 4, 2024

While many organizations have implemented AI, the need to keep a competitive edge and foster business growth demands new approaches: simultaneously evolving AI strategies, showcasing their value, enhancing risk postures and adopting new engineering capabilities. How can you master prompt engineering? times higher ROI.

Enterprise 106

Enterprise ROI Risk Strategy 106

datapine

JANUARY 6, 2022

1) What Is Data Interpretation? 2) How To Interpret Data? 3) Why Data Interpretation Is Important? 4) Data Analysis & Interpretation Problems. 5) Data Interpretation Techniques & Methods. 6) The Use of Dashboards For Data Interpretation. Business dashboards are the digital age tools for big data.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

IBM Big Data Hub

AUGUST 15, 2023

The functionality has been expanded to capture savings and investments across various categories, including accounts, resource groups, regions and action types (among others). In addition to the default views, users have the flexibility to manually add these widgets to any supported entity type or create a custom dashboard.

Optimization 64

Optimization Measurement Cost-Benefit Dashboards 64

IBM Big Data Hub

APRIL 10, 2024

In fact, 83% of IT executives feel that modernization is central to their organization’s strategy, but only 27% say their organizations have modernized the requisite workflows (including applications, data and underlying systems). CIOs can enable application modernization through several factors 1.

Cost-Benefit 97

Cost-Benefit Software Risk Marketing 97

BizAcuity

MARCH 17, 2020

Presenting the cross-sell recommendation engine. With the aid of a cross-sell recommendation engine, casinos can take this information a step further. With the aid of a cross-sell recommendation engine, casinos can take this information a step further. The benefits of a cross-sell recommendation engine.

Recreation/Entertainment 88

Recreation/Entertainment Sales Marketing Finance 88

Smart Data Collective

JUNE 5, 2021

One of the most important ways that marketers can benefit from AI is with search engine marketing. It is important to understand the role that AI is playing with new search engine algorithms. You can use a number of new tools that rely on data analytics to improve your strategy. What is Latent Semantic Indexing?

Strategy 136

Strategy Marketing Data-driven Machine Learning 136

Domino Data Lab

JULY 15, 2021

In the multiverse of data science, the tool options continue to expand and evolve. While there are certainly engineers and scientists who may be entrenched in one camp or another (the R camp vs. Python, for example, or SAS vs. MATLAB), there has been a growing trend towards dispersion of data science tools. Data Languages.

Data Science 145

Data Science Visualization Modeling Enterprise 145

IBM Big Data Hub

MAY 1, 2023

In this blog post, we will review the various methods of GCP cloud cost management, what problems they address and how GCP users can best use them. Migrate for Compute Engine is a GCP tool that has a right-sizing feature that recommends instance types for optimized cost and performance.

Optimization 86

Optimization ROI Consulting Dashboards 86

DataKitchen

MARCH 16, 2023

How to measure your data analytics team? So it’s Monday, and you lead a data analytics team of perhaps 30 people. Like most leaders of data analytic teams, you have been doing very little to quantify your team’s success. What should be in that report about your data team? Introduction. You’ve got a new boss.

Metrics 130

Metrics Data Analytics Analytics Measurement 130

AWS Big Data

MAY 24, 2023

When you build your transactional data lake using Apache Iceberg to solve your functional use cases, you need to focus on operational use cases for your S3 data lake to optimize the production environment. An Amazon S3 Lifecycle configuration is a set of rules that define actions that Amazon S3 applies to a group of objects.

Data Lake 83

Data Lake Snapshot Metadata Optimization 83

AWS Big Data

JANUARY 22, 2024

The company uses AWS Cloud services to build data-driven products and scale engineering best practices. To ensure a sustainable data platform amid growth and profitability phases, their tech teams adopted a decentralized data mesh architecture. The solution Acast implemented is a data mesh, architected on AWS.

Data-driven 83

Data-driven Advertising Metadata Data Architecture 83

Smart Data Collective

SEPTEMBER 13, 2023

AI technology is especially beneficial with digital marketing, since digital marketers can take advantage of large amounts of data to optimize their strategies. When you watch or listen to something one day, the next day you will have a whole category of recommendations from the same genre as your most played or watched.

Machine Learning 97

Machine Learning Marketing Strategy Optimization 97

Alation

DECEMBER 15, 2022

Among all the internal celebrations, I wanted to take this moment to reflect on our journey so far and ask a thought-provoking question: who is the GOAT of data catalogs ? As I reflected on this topic, it occurred to me that software categories should be no different. How Do You Determine the GOAT for a Software Category?

Metadata 52

Metadata Data Governance Data Quality Marketing 52

Cloudera

MAY 24, 2022

? ?. At Cloudera we’re building the world’s only hybrid data platform that’s founded on open source and truly hybrid. Cloudera continues to innovate at pace, providing new and exciting features across Cloudera Data Platform (CDP) that many of our customers can’t wait to get their hands on. What do we mean by truly hybrid?

Testing 76

Testing Enterprise Software Modeling 76

AWS Big Data

MARCH 2, 2023

It adds tables to compute engines including Spark, Trino, PrestoDB, Flink, and Hive using a high-performance table format that works just like a SQL table. Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback. AWS Glue 3.0

Data Lake 116

Data Lake Data Processing Metadata Snapshot 116

AWS Big Data

JUNE 19, 2023

With the recent introduction of Amazon Security Lake , it has never been simpler to access all your security-related data in one place. Security Lake automatically centralizes security data from cloud, on-premises, and custom sources into a purpose-built data lake stored in your account.

Publishing 83

Publishing Dashboards Visualization Management 83

Smart Data Collective

SEPTEMBER 23, 2020

The market for data warehouses is booming. While there is a lot of discussion about the merits of data warehouses, not enough discussion centers around data lakes. We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes. Data Warehouse. billion by 2030.

Data Lake 105

Data Lake Data Warehouse Unstructured Data Big Data 105

Cloudera

DECEMBER 3, 2021

In part 1 of this blog post, we discussed the need to be mindful of data bias and the resulting consequences when certain parameters are skewed. Surely there are ways to comb through the data to minimise the risks from spiralling out of control. An AI system trained on data has no context outside of that data.

Uncertainty 98

Uncertainty Measurement Metrics Modeling 98

CIO Business Intelligence

OCTOBER 25, 2023

From IT, to finance, marketing, engineering, and more, AI advances are causing enterprises to re-evaluate their traditional approaches to unlock the transformative potential of AI. Zscaler The risks of leveraging AI and ML tools As we discussed in a recent blog , the risks of using generative AI tools in the enterprises are significant.

Enterprise 131

Enterprise Risk Manufacturing Finance 131

erwin

APRIL 4, 2022

If you’re a long-time erwin ® Data Modeler by Quest ® customer, you might be asking yourself, “What happened to the release naming convention of erwin Data Modeler?” In 2021 erwin Data Modeler released 2021R1. So, this release of erwin Data Modeler aligns with the release of erwin Data Intelligence 12.0,” he concluded.

Modeling 52

Modeling Data Processing Data-driven Big Data 52

AWS Big Data

MARCH 1, 2024

As they continue to implement their Digital First strategy for speed, scale and the elimination of complexity, they are always seeking ways to innovate, modernize and also streamline data access control in the Cloud. BMO has accumulated sensitive financial data and needed to build an analytic environment that was secure and performant.

Data Lake 98

Data Lake Data Warehouse Management Risk 98