CIO

AUGUST 9, 2022

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. The data engineer role.

Data Engineering 197

Data Engineering Analytics Engineering Data 197

TechCrunch

SEPTEMBER 15, 2022

As long-term partners, we are excited to double down on their goal to be the premier engineered data solutions and AI provider for accelerating digital transformation for enterprises across industries,” said Anandamoy Roychowdhary, principal, Sequoia Southeast Asia, in a prepared statement.

Data Engineering 216

Data Engineering Analytics Engineering Data 216

CIO

NOVEMBER 27, 2024

From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. For companies investing in data science, realizing the return on these investments requires embedding AI deeply into business processes.

Architecture 193

Architecture Artificial Inteligence Data Development Team Review 193

O'Reilly Media - Data

SEPTEMBER 24, 2018

Data science is the sexy thing companies want. The data engineering and operations teams don't get much love. The organizations don’t realize that data science stands on the shoulders of DataOps and data engineering giants. Let's call these operational teams that focus on big data: DataOps teams.

Enterprise 253

Enterprise Data Big Data Data Engineering 253

CIO

JANUARY 17, 2023

It shows in his reluctance to run his own servers but it’s perhaps most obvious in his attitude to data engineering, where he’s nearing the end of a five-year journey to automate or outsource much of the mundane maintenance work and focus internal resources on data analysis. It’s not a good use of our time either.”

Data Engineering 189

Data Engineering Engineering Data CTO Coach 189

TechCrunch

NOVEMBER 11, 2020

Fishtown Analytics , the Philadelphia-based company behind the dbt open-source data engineering tool, today announced that it has raised a $29.5 The company is building a platform that allows data analysts to more easily create and disseminate organizational knowledge.

Data Engineering 222

Data Engineering Analytics Engineering Data 222

CIO

DECEMBER 20, 2024

Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects. DAMA-DMBOK 2.

Architecture 183

Architecture Data Fractional CTO Technical Review 183

Xebia

JANUARY 19, 2023

The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. This book is as good for a project manager or any other non-technical role as it is for a computer science student or a data engineer.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Cloudera

JANUARY 9, 2025

As the AI landscape evolves from experiments into strategic, enterprise-wide initiatives, its clear that our naming should reflect that shift. Its a signal that were fully embracing the future of enterprise intelligence. It means combining data engineering, model ops, governance, and collaboration in a single, streamlined environment.

Artificial Inteligence 85

Artificial Inteligence Machine Learning Enterprise Artificial Intelligence 85

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. Our research indicates a scramble to identify and experiment with use cases in most business functions within an enterprise.

Artificial Inteligence 146

Artificial Inteligence Research Artificial Intelligence Enterprise 146

CIO

NOVEMBER 19, 2024

The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data. 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.

Artificial Inteligence 174

Artificial Inteligence Engineering Data Storage 174

CIO

DECEMBER 10, 2024

Computing costs rising Raw technology acquisition costs are just a small part of the equation as businesses move from proof of concept to enterprise AI integration. million on inference, grounding, and data integration for just proof-of-concept AI projects. In fact, business spending on AI rose to $13.8

Artificial Inteligence 174

Artificial Inteligence Off-The-Shelf Insurance Analytics 174

TechCrunch

SEPTEMBER 29, 2022

Coalesce is a startup that offers data transformation tools geared mainly toward enterprise customers. “We are on a mission to radically improve the analytics landscape by making enterprise-scale data transformations as efficient and flexible as possible.”

Enterprise 184

Enterprise Data Business Intelligence Analytics 184

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.

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

Cloudera

SEPTEMBER 17, 2020

For enterprise organizations, managing and operationalizing increasingly complex data across the business has presented a significant challenge for staying competitive in analytic and data science driven markets. CDP data lifecycle integration and SDX security and governance.

Data Engineering 104

Data Engineering Engineering Data Tools 104

TechCrunch

OCTOBER 13, 2022

Data engineers have a big problem. Almost every team in their business needs access to analytics and other information that can be gleaned from their data warehouses, but only a few have technical backgrounds. Most of Redbird’s customers are large enterprises that make more than $1 billion in revenue.

Operating System 233

Operating System Technical Review Analytics Systems Review 233

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 82

Data Engineering Engineering Data Generative AI 82

CIO

MARCH 13, 2025

Mike Vaughan serves as Chief Data Officer for Brown & Brown Insurance. In this role, she empowers and enables the adoption of data, analytics and AI across the enterprise to achieve business outcomes and drive growth. Arti Deshpande is a Senior Technology Solutions Business Partner for Brown & Brown Insurance.

Company 186

Company Generative AI Insurance Education 186

CIO

JANUARY 3, 2025

But many enterprises have yet to start reaping the full benefits that AIOps solutions provide. Today, IT encompasses site reliability engineering (SRE), platform engineering, DevOps, and automation teams, and the need to manage services across multi-cloud and hybrid-cloud environments in addition to legacy systems.

Organization 158

Organization Artificial Inteligence Artificial Intelligence DevOps 158

CIO

FEBRUARY 19, 2025

Plus, according to a recent survey of 2,500 senior leaders of global enterprises conducted by Google Cloud and National Research Group, 34% say theyre already seeing ROI for individual productivity gen AI use cases, and 33% expect to see ROI within the next year. EYs Gusher says shes seeing gen AI value in code debugging and testing.

Google Cloud 206

Google Cloud Survey CTO Coach Software Development 206

TechCrunch

JULY 12, 2022

But building data pipelines to generate these features is hard, requires significant data engineering manpower, and can add weeks or months to project delivery times,” Del Balso told TechCrunch in an email interview. Here’s where MLOps is accelerating enterprise AI adoption.

Artificial Inteligence 249

Artificial Inteligence Machine Learning Marketing Data Engineering 249

TechCrunch

FEBRUARY 7, 2022

Prior to becoming CEO of Foursquare, Gary was MD of Raine, leading the technology practice with a focus on advisory assignments and principal investments in consumer internet, enterprise software and emerging technology.

Business Intelligence 230

Business Intelligence AWS Data Engineering Sustainability 230

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

TechCrunch

APRIL 25, 2022

But they’re an essential part of the AI systems that enterprises — and consumers, for that matter — use every day. But at the enterprise scale, where data science teams are responsible for maintaining dozens to thousands of systems, a place to manage and track features becomes a necessity.

Artificial Inteligence 225

Artificial Inteligence Machine Learning Data Engineering Enterprise 225

CIO

APRIL 1, 2025

Job titles like data engineer, machine learning engineer, and AI product manager have supplanted traditional software developers near the top of the heap as companies rush to adopt AI and cybersecurity professionals remain in high demand.

Marketing 152

Marketing Software Development Software Development 152

CIO

AUGUST 4, 2022

It’s no different when building a team for an enterprise AI project; you can’t just throw a bunch of data scientists into a room and expect them to come up with a revenue-generating or efficiency-improving project without support from other members of the enterprise. MLOps to the rescue.

Artificial Inteligence 214

Artificial Inteligence Artificial Intelligence DevOps Data Engineering 214

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 97

B2B B2C Guidelines Analysis 97

CIO

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data architects are frequently part of a data science team and tasked with leading data system projects.

Data 199

Data Data Engineering Database Administration Artificial Inteligence 199

CIO

DECEMBER 22, 2022

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the tools, processes, and organizational structures to support the data-focused enterprise. It’s a fluid situation.”

Analytics 195

Analytics Data Engineering Machine Learning Artificial Inteligence 195

Cloudera

OCTOBER 19, 2021

Today, customers have deployed 100s of Airflow DAGs in production performing various data transformation and preparation tasks, with differing levels of complexity. This combined with Cloudera Data Engineering’s (CDE) first-class job management APIs and centralized monitoring is delivering new value for modernizing enterprises.

Data Engineering 120

Data Engineering Engineering Data Virtualization 120

TechCrunch

AUGUST 4, 2022

Most BI tools are thin applications with no data engine of their own, and only as fast as the database they sit atop. Rill, on the other hand, is a thick application that comes with its own embedded in-memory OLAP engine ( DuckDB in Rill Developer, and Apache Druid in Rill Cloud).

Open Source 246

Open Source Metrics Enterprise Business Intelligence 246

CIO

OCTOBER 9, 2024

The rise of generative AI (GenAI) felt like a watershed moment for enterprises looking to drive exponential growth with its transformative potential. As the technology subsists on data, customer trust and their confidential information are at stake—and enterprises cannot afford to overlook its pitfalls.

Strategy 215

Strategy Data Artificial Inteligence Storage 215

CIO

NOVEMBER 7, 2024

It’s federated, so they sit in the different business units and come together as a data community to harness our full enterprise capabilities. On the technology side, we think about the engineering aspects — access, platforms, tools, insights, transformations, all these different components to it.

Artificial Inteligence 180

Artificial Inteligence Development Generative AI Artificial Intelligence 180

TechCrunch

JUNE 2, 2021

Iterative , an open-source startup that is building an enterprise AI platform to help companies operationalize their models, today announced that it has raised a $20 million Series A round led by 468 Capital and Mesosphere co-founder Florian Leibert. He noted that the industry has changed quite a bit since then.

Artificial Inteligence 249

Artificial Inteligence Machine Learning Open Source Data Engineering 249

O'Reilly Media - Ideas

MARCH 18, 2020

The update sheds light on what AI adoption looks like in the enterprise— hint: deployments are shifting from prototype to production—the popularity of specific techniques and tools, the challenges experienced by adopters, and so on. One-sixth of respondents identify as data scientists, but executives—i.e.,

Enterprise 140

Enterprise Survey Technical Review Weak Development Team 140

CIO

JUNE 10, 2024

By most accounts, enterprise CIOs are rushing to hire for AI-related roles, putting them into fierce competition with one another — and with big tech companies and CTOs everywhere. Results from Foundry/CIO.com’s 2024 State of the CIO survey enforce this finding, with AI vaulting to the top slot of enterprise CIO’s hardest-to-hire roles.

Artificial Inteligence 204

Artificial Inteligence Strategy Machine Learning Training 204