CIO

MARCH 13, 2025

Gen AI-related job listings were particularly common in roles such as data scientists and data engineers, and in software development. Were building a department of AI engineering, mostly by bringing in people from data engineering and training them to work with gen AI and AI in general, says Daniel Avancini, Indiciums CDO.

Part-Time VPE 205

Part-Time VPE Weak Development Team Fractional VPE Fractional CTO 205

CIO

NOVEMBER 27, 2024

The team should be structured similarly to traditional IT or data engineering teams. The Verta Model Catalog, Model Operations, and GenAI Workbench have helped customers ranging from AI startups to Fortune 100 enterprises seamlessly manage, run, and govern AI-ML models on-prem and in the cloud.

Architecture 192

Architecture Artificial Inteligence Data Development Team Review 192

CIO

MARCH 13, 2025

We developed clear governance policies that outlined: How we define AI and generative AI in our business Principles for responsible AI use A structured governance process Compliance standards across different regions (because AI regulations vary significantly between Europe and U.S.

Company 185

Company Generative AI Insurance Education 185

CIO

APRIL 23, 2025

Finally, refine and aggregate the clean data into insights that directly support key insurance functions like underwriting, risk analysis and regulatory reporting. Step 3: Data governance Maintain data quality. Enforce strict rules (schemas) to ensure all incoming data fits the expected format.

Insurance 163

Insurance Artificial Inteligence Data Architecture 163

CIO

NOVEMBER 19, 2024

The challenges of integrating data with AI workflows When I speak with our customers, the challenges they talk about involve integrating their data and their enterprise AI workflows. The core of their problem is applying AI technology to the data they already have, whether in the cloud, on their premises, or more likely both.

Artificial Inteligence 172

Artificial Inteligence Engineering Data Storage 172

Xebia

DECEMBER 23, 2024

Without clear cost observability and governance, these varying needs can result in fragmented practices that drive up costs. A data scientist might spin up a large cluster for experimentation and forget to shut it down, while an analyst might write inefficient SQL queries that consume excessive compute power.

Data 130

Data Storage Culture Resources 130

Xebia

DECEMBER 23, 2024

Without clear cost observability and governance, these varying needs can result in fragmented practices that drive up costs. A data scientist might spin up a large cluster for experimentation and forget to shut it down, while an analyst might write inefficient SQL queries that consume excessive compute power.

Data 130

Data Storage Culture Resources 130

Cloudera

FEBRUARY 14, 2022

When we introduced Cloudera Data Engineering (CDE) in the Public Cloud in 2020 it was a culmination of many years of working alongside companies as they deployed Apache Spark based ETL workloads at scale. Each unlocking value in the data engineering workflows enterprises can start taking advantage of. Usage Patterns.

Data Engineering 113

Data Engineering Engineering Data Storage 113

Cloudera

DECEMBER 21, 2021

Since the release of Cloudera Data Engineering (CDE) more than a year ago , our number one goal was operationalizing Spark pipelines at scale with first class tooling designed to streamline automation and observability. The post Cloudera Data Engineering 2021 Year End Review appeared first on Cloudera Blog.

Data Engineering 118

Data Engineering Technical Review Software Review Engineering 118

CIO

JANUARY 22, 2025

They also improved their AI governance. Fernandes says that IT leaders also need to secure data and IP, especially as agentic AI becomes more prevalent. Were going to identify and hire data engineers and data scientists from within and beyond our organization and were going to get ahead, he says.

Weak Development Team 191

Weak Development Team Education Meeting Data 191

CIO

DECEMBER 19, 2024

The key areas we see are having an enterprise AI strategy, a unified governance model and managing the technology costs associated with genAI to present a compelling business case to the executive team. Organizations are finding they have outdated data or incomplete data sets. Its been a year of intense experimentation.

Artificial Inteligence 146

Artificial Inteligence Research Artificial Intelligence Enterprise 146

Cloudera

SEPTEMBER 17, 2020

With growing disparate data across everything from edge devices to individual lines of business needing to be consolidated, curated, and delivered for downstream consumption, it’s no wonder that data engineering has become the most in-demand role across businesses — growing at an estimated rate of 50% year over year.

Data Engineering 104

Data Engineering Engineering Data Tools 104

Netflix Tech

JUNE 20, 2024

A summary of sessions at the first Data Engineering Open Forum at Netflix on April 18th, 2024 The Data Engineering Open Forum at Netflix on April 18th, 2024. At Netflix, we aspire to entertain the world, and our data engineering teams play a crucial role in this mission by enabling data-driven decision-making at scale.

Data Engineering 83

Data Engineering Engineering Data Generative AI 83

Perficient

MARCH 13, 2025

I’ve mentioned Liquid Clustering before when discussing the advantages of Unity Catalog beyond governance use cases. Unity Catalog : come for the data governance , stay for the predictive optimization. Perficient has a FinOps mindset with Databricks , so the Automatic Liquid Clustering announcement grabbed my attention.

Data Engineering 64

Data Engineering Government Engineering Data 64

CIO

NOVEMBER 27, 2024

Good data governance has always involved dealing with errors and inconsistencies in datasets, as well as indexing and classifying that structured data by removing duplicates, correcting typos, standardizing and validating the format and type of data, and augmenting incomplete information or detecting unusual and impossible variations in the data.

Data 211

Data Enterprise Weak Development Team Software Review 211

Cloudera

NOVEMBER 19, 2020

November 15-21 marks International Fraud Awareness Week – but for many in government, that’s every week. From bogus benefits claims to fraudulent network activity, fraud in all its forms represents a significant threat to government at all levels. The Public Sector data challenge. Modernization has been a boon to government.

Government 119

Government Artificial Inteligence Data Machine Learning 119

Cloudera

OCTOBER 11, 2021

Modak, a leading provider of modern data engineering solutions, is now a certified solution partner with Cloudera. Customers can now seamlessly automate migration to Cloudera’s Hybrid Data Platform — Cloudera Data Platform (CDP) to dynamically auto-scale cloud services with Cloudera Data Engineering (CDE) integration with Modak Nabu.

Data Engineering 95

Data Engineering Engineering Data Cloud 95

Altexsoft

AUGUST 25, 2020

That’s why a data specialist with big data skills is one of the most sought-after IT candidates. Data Engineering positions have grown by half and they typically require big data skills. Data engineering vs big data engineering. Big data processing. maintaining data pipeline.

Big Data 75

Big Data Data Engineering Engineering Data 75

CIO

OCTOBER 13, 2023

Application data architect: The application data architect designs and implements data models for specific software applications. Information/data governance architect: These individuals establish and enforce data governance policies and procedures.

Data 198

Data Database Administration Data Engineering Artificial Inteligence 198

CIO

MARCH 18, 2025

Adobe said Agent Orchestrator leverages semantic understanding of enterprise data, content, and customer journeys to orchestrate AI agents that are purpose-built to deliver targeted and immersive experiences with built-in data governance and regulatory compliance.

B2B 95

B2B B2C Guidelines Analysis 95

Perficient

FEBRUARY 13, 2025

SAP Databricks is important because convenient access to governed data to support business initiatives is important. Breaking down silos has been a drumbeat of data professionals since Hadoop, but this SAP <-> Databricks initiative may help to solve one of the more intractable data engineering problems out there.

Government 64

Government Open Source Machine Learning Artificial Inteligence 64

CIO

AUGUST 4, 2022

Interestingly, many companies do just that, creating a disconnect between data science teams and IT/DevOps when it comes to AI development. Data scientists would really love to just build models and do real core data science. This gap is a significant reason why AI pilot projects fail. “AI MLOps to the rescue.

Artificial Intelligence 214

Artificial Intelligence Artificial Inteligence DevOps Data Engineering 214

O'Reilly Media - Ideas

APRIL 2, 2019

Model governance. We’ve become accustomed to the need for data governance and provenance, understanding and controlling the many databases that are combined in a modern data-driven application. Machine learning engineers know and use all those tools, but they’re not enough. Data engineers vs. data scientists”.

Artificial Inteligence 107

Artificial Inteligence Machine Learning Government Tools 107

O'Reilly Media - Ideas

JUNE 19, 2019

In previous posts, we’ve outlined the foundational technologies needed to sustain machine learning within an organization, and there are early signs that tools for model development and model governance are beginning to gain users. A collection of tools that focus primarily on aspects of model development, governance, and operations.

Government 98

Government Artificial Inteligence Machine Learning Testing 98

TechCrunch

NOVEMBER 2, 2022

.” Built on top of data warehousing service Snowflake and Google’s BigQuery engine, Y42 ‘s new fully managed service aims to provide businesses with more of the tools to make their data stack easily accessible for more users while also providing additional collaboration tools and improved data governance services.

Data 203

Data Business Intelligence Open Source Government 203

CIO

NOVEMBER 7, 2024

We are still maturing in this capability, but we have fully recognized that we have shared data responsibilities. We have a data office that focuses on data governance, data domain stewardship, and access, and this group sits outside of IT. We explore the essence of data and the intricacies of data engineering.

Artificial Inteligence 179

Artificial Inteligence Development Generative AI Artificial Intelligence 179

Cloudera

JANUARY 9, 2025

It means combining data engineering, model ops, governance, and collaboration in a single, streamlined environment. Cloudera AI Registry : A place to govern and track all your AI assetsmodels, applications, and beyondso you can deploy and update them confidently, on-premises, and in multiple clouds.

Artificial Inteligence 85

Artificial Inteligence Machine Learning Enterprise Artificial Intelligence 85

Cloudera

OCTOBER 23, 2024

That’s why Cloudera added support for the REST catalog : to make open metadata a priority for our customers and to ensure that data teams can truly leverage the best tool for each workload– whether it’s ingestion, reporting, data engineering, or building, training, and deploying AI models.

Data 84

Data Analytics Systems Review Architecture 84

Cloudera

AUGUST 20, 2020

The Paycheck Protection Program (PPP) is implemented by the US federal government to provide a direct incentive for businesses to keep their employees on the payroll, particularly during the Covid-19 pandemic. Data from the US Treasury website show which companies received PPP loans and how many jobs were retained. Objective.

Data Engineering 65

Data Engineering Engineering Programming Data 65

Cloudera

OCTOBER 1, 2022

While the word “data” has been common since the 1940s, managing data’s growth, current use, and regulation is a relatively new frontier. . Governments and enterprises are working hard today to figure out the structures and regulations needed around data collection and use. Infrastructure.

Government 75

Government Enterprise Artificial Inteligence Strategy 75

Honeycomb

APRIL 21, 2025

The idea that telemetry data needs to be managed, or needs a strategy, draws a lot of inspiration from the data world (as in, BI and Data Engineering). Your company most likely has a data team that manages the data warehouse(s), data pipelines, data sources, and reporting tools.

Strategy 52

Strategy Data Technical Review Software Review 52

TechCrunch

APRIL 26, 2021

Palantir doesn’t really do AI, they do data engineering in a big way. “Palantir has helped with the data pipelines, and they’re using their software to pull a lot of data together, but really they’re not a machine learning organization, their specialism is in gathering data together.

Artificial Inteligence 231

Artificial Inteligence Machine Learning Artificial Intelligence Scalability 231

CIO

JANUARY 22, 2024

Key elements of this foundation are data strategy, data governance, and data engineering. A healthcare payer or provider must establish a data strategy to define its vision, goals, and roadmap for the organization to manage its data. This is the overarching guidance that drives digital transformation.

Generative AI 147

Generative AI Healthcare Fractional CTO Artificial Inteligence 147

CIO

JUNE 10, 2024

For example, Napoli needs conventional data wrangling, data engineering, and data governance skills, as well as IT pros versed in newer tools and techniques such as vector databases, large language models (LLMs), and prompt engineering. Meanwhile, 54% of respondents said skills shortages hamper change.

Artificial Inteligence 204

Artificial Inteligence Strategy Machine Learning Training 204

Cloudera

APRIL 30, 2021

Cloudera Data Engineering (CDE) is a cloud-native service purpose-built for enterprise data engineering teams. CDE provides flexible options for fully operationalizing your data engineering pipelines and is fully integrated with Shared Data Experience for comprehensive security and governance.

Data Engineering 65

Data Engineering Engineering Data Software Review 65

CIO

AUGUST 3, 2022

CIOs who use low-code/no-code platforms and new governance models to create self-service data capabilities are turning shadow IT into citizen developers who can fish for their own data. To solve this, we’ve kept data engineering in IT, but embedded machine learning experts in the business functions.

IoT 218

IoT Leadership SDLC Artificial Inteligence 218

O'Reilly Media - Ideas

FEBRUARY 11, 2020

Key survey results: The C-suite is engaged with data quality. Data scientists and analysts, data engineers, and the people who manage them comprise 40% of the audience; developers and their managers, about 22%. Data quality might get worse before it gets better. An additional 7% are data engineers.

Weak Development Team 145

Weak Development Team Data Technical Review Survey 145