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

TechCrunch

JUNE 22, 2022

He built his own SQL-based tool to help understand exactly what resources he was using, based on data engineering best practices. Pats believes that cloud infrastructure is locked in the past from a data standpoint, and he wanted to push it into the modern age with CloudQuery.

Infrastructure 206

Infrastructure Cloud Open Source Data Engineering 206

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

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 234

Enterprise Data Big Data Data Engineering 234

CIO

FEBRUARY 19, 2025

Part of it has to do with things like making sure were able to collect compliance requirements around AI, says Baker. Weve also seen some significant benefits in leveraging it for productivity in data engineering processes, such as generating data pipelines in a more efficient way.

Google Cloud 206

Google Cloud Survey CTO Coach Software Development 206

InfoQ Culture Methods

NOVEMBER 27, 2024

This article highlights key challenges and innovative practices as organizations navigate compliance with evolving guidelines like the EU AI Act. Explore the dynamic intersection of responsible AI, regulation, and ethics in the FinTech sector. By Lexy Kassan

Fintech 85

Fintech Guidelines Sustainability Compliance 85

TechCrunch

NOVEMBER 3, 2021

The company lets you install their solution on your cloud of choice such as Amazon, Microsoft or Google and then capture the data as it comes into your system, using Blotout to collect the permissions and comply with each law, while giving the customer full control of the data.

Data 224

Data Compliance Authentication Data Engineering 224

CIO

NOVEMBER 27, 2024

Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.

Data 211

Data Enterprise Weak Development Team Software Review 211

CIO

JUNE 10, 2024

And they need people who can manage the emerging risks and compliance requirements associated with AI. 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.

Artificial Inteligence 204

Artificial Inteligence Strategy Machine Learning Training 204

Apiumhub

DECEMBER 9, 2024

By integrating Azure Key Vault Secrets with Azure Synapse Analytics, organizations can securely access external data sources and manage credentials centrally. This integration not only improves security by ensuring that secrets in code or configuration files are never exposed but also improves compliance with regulatory standards.

Azure 89

Azure Analytics Storage Machine Learning 89

Mobilunity

MAY 3, 2024

When it comes to financial technology, data engineers are the most important architects. As fintech continues to change the way standard financial services are done, the data engineer’s job becomes more and more important in shaping the future of the industry.

Data Engineering 52

Data Engineering Fintech Engineering Data 52

AWS Machine Learning - AI

NOVEMBER 15, 2024

The solution had to adhere to compliance, privacy, and ethics regulations and brand standards and use existing compliance-approved responses without additional summarization. It was important for Principal to maintain fine-grained access controls and make sure all data and sources remained secure within its environment.

Generative AI 111

Generative AI AWS Groups Artificial Inteligence 111

Perficient

FEBRUARY 13, 2025

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. SAP has a large, critical data footprint in many large enterprises. However, SAP has an opaque data model.

Government 64

Government Open Source Machine Learning Artificial Inteligence 64

CIO

OCTOBER 9, 2024

How will organizations wield AI to seize greater opportunities, engage employees, and drive secure access without compromising data integrity and compliance? While it may sound simplistic, the first step towards managing high-quality data and right-sizing AI is defining the GenAI use cases for your business.

Strategy 215

Strategy Data Artificial Inteligence Storage 215

O'Reilly Media - Data

AUGUST 16, 2018

Today’s data science and data engineering teams work with a variety of machine learning libraries, data ingestion, and data storage technologies. Risk and compliance considerations mean that the ability to reproduce machine learning workflows is essential to meet audits in certain application domains.

Machine Learning 124

Machine Learning Artificial Inteligence Data Engineering Storage 124

AWS Machine Learning - AI

MARCH 13, 2025

MaestroQA also offers a logic/keyword-based rules engine for classifying customer interactions based on other factors such as timing or process steps including metrics like Average Handle Time (AHT), compliance or process checks, and SLA adherence. Now, they are able to detect compliance risks with almost 100% accuracy.

Generative AI 68

Generative AI CTO Coach AWS Artificial Inteligence 68

CIO

SEPTEMBER 29, 2023

Relevant job roles include machine learning engineer, deep learning engineer, AI research scientist, NLP engineer, data scientists and analysts, AI product manager, AI consultant, AI systems architect, AI ethics and compliance analyst, among others.

Generative AI 214

Generative AI Machine Learning Artificial Inteligence ChatGPT 214

TechCrunch

APRIL 12, 2022

According to a 2021 Wakefield Research report , enterprise data engineers spend nearly half their time building and maintaining data pipelines. “Data science is very academic, which directly affects machine learning.

Artificial Inteligence 202

Artificial Inteligence Machine Learning Open Source Biotech 202

CIO

JANUARY 6, 2023

Database developers should have experience with NoSQL databases, Oracle Database, big data infrastructure, and big data engines such as Hadoop. These candidates will be skilled at troubleshooting databases, understanding best practices, and identifying front-end user requirements.

LAN 215

LAN Systems Administration How To Software Engineering 215

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

OCTOBER 20, 2023

It was established in 1978 and certifies your ability to report on compliance procedures, how well you can assess vulnerabilities, and your knowledge of every stage in the auditing process. Microsoft also offers certifications focused on fundamentals, specific job roles, or specialty use cases.

SCRUM 206

SCRUM Azure AWS Agile 206

CIO

MARCH 21, 2022

Finance: Data on accounts, credit and debit transactions, and similar financial data are vital to a functioning business. But for data scientists in the finance industry, security and compliance, including fraud detection, are also major concerns. Data scientist skills. A method for turning data into value.

Analytics 205

Analytics Data Technical Review Analysis 205

DXC

DECEMBER 22, 2021

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Azure 98

Azure Data Engineering Windows Compliance 98

Cloudera

SEPTEMBER 14, 2020

Everybody needs more data and more analytics, with so many different and sometimes often conflicting needs. Data engineers need batch resources, while data scientists need to quickly onboard ephemeral users. Fundamental principles to be successful with Cloud data management. Or so they all claim.

Cloud 111

Cloud Data Compliance Analytics 111

STX Next

OCTOBER 20, 2023

In today's fast-paced business environment, data has become the lifeblood of modern enterprises, especially in the FinTech sector.

Data Engineering 40

Data Engineering Engineering Fintech Data 40

CIO

MAY 30, 2024

There are an additional 10 paths for more advanced generative AI certification, including software development, business, cybersecurity, HR and L&D, finance and banking, marketing, retail, risk and compliance, prompt engineering, and project management. Cost : $4,000

Generative AI 206

Generative AI Artificial Inteligence Programming Azure 206

CIO

APRIL 27, 2023

There’s an ever-growing need for technical pros who can handle the rapid pace of technology, ensuring businesses keep up with industry standards, compliance regulations, and emerging or disruptive technologies. The demand for specialized skills has boosted salaries in cybersecurity, data, engineering, development, and program management.

Technical Review 174

Technical Review Software Review Systems Review Software Engineering 174

Cloudera

JANUARY 27, 2021

Achieving SOC 2 is one of the first milestones on our aggressive security and compliance roadmap. You can expect to see further compliance achievements, including expanding Cloudera’s ISO27001 certification to include CDP Public Cloud, FedRAMP, and more, over the coming quarters. Why is SOC 2 Important?

Cloud 104

Cloud Disaster Recovery Software Review Technical Review 104

O'Reilly Media - Ideas

JANUARY 14, 2025

Building applications with RAG requires a portfolio of data (company financials, customer data, data purchased from other sources) that can be used to build queries, and data scientists know how to work with data at scale. Data engineers build the infrastructure to collect, store, and analyze data.

Trends 132

Trends Technology Security Artificial Inteligence 132

OTS Solutions

MARCH 14, 2019

New teams and job descriptions relating to AI will need to be created by adding data scientists, data engineers and machine learning engineers to your staff. Are any compliance controls put in place? Include Responsibility and Accountability. Can your organization ensure that the decisions made by AI are accurate?

Artificial Inteligence 140

Artificial Inteligence Artificial Intelligence Strategy Technical Review 140

InfoWorld

FEBRUARY 9, 2024

It is built around a data lake called OneLake, and brings together new and existing components from Microsoft Power BI, Azure Synapse, and Azure Data Factory into a single integrated environment. In many ways, Fabric is Microsoft’s answer to Google Cloud Dataplex. As of this writing, Fabric is in preview.

Big Data 78

Big Data Data Azure Google Cloud 78

CIO

JUNE 19, 2024

Platform engineering teams work closely with both IT and business teams, fostering collaboration within the organization,” he says. Ignore security and compliance at your peril. It’s all in the build IT leaders say there are many considerations to take into account if you want to build highly effective teams. “We

Weak Development Team 208

Weak Development Team Engineering UI/UX Software Development 208

Cloudera

OCTOBER 19, 2023

Add to this, too, the difficulty of integrating potentially dissimilar compliance frameworks: for example, separate telcos might be operating under different regulatory guidelines, appropriate to specific jurisdictions or business practices, requiring the merged entity to formalize a single, unified framework for compliance.

Data 76

Data Compliance Architecture Data Engineering 76

Cloudera

SEPTEMBER 9, 2022

analyst Sumit Pal, in “Exploring Lakehouse Architecture and Use Cases,” published January 11, 2022: “Data lakehouses integrate and unify the capabilities of data warehouses and data lakes, aiming to support AI, BI, ML, and data engineering on a single platform.” According to Gartner, Inc.

Architecture 102

Architecture Innovation Data Open Source 102

CIO

AUGUST 18, 2022

You can intuitively query the data from the data lake. Users coming from a data warehouse environment shouldn’t care where the data resides,” says Angelo Slawik, data engineer at Moonfare. One reason: Keeping sensitive healthcare data within specific countries is important for regulatory reasons.

Data 210

Data Technical Advisors Technical Review Artificial Inteligence 210

Cloudera

FEBRUARY 15, 2024

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk.

Insurance 88

Insurance Compliance Technical Review Banking 88

CIO

AUGUST 7, 2023

While the changes to the tech stack are minimal when simply accessing gen AI services, CIOs will need to be ready to manage substantial adjustments to the tech architecture and to upgrade data architecture. Shapers want to develop proprietary capabilities and have higher security or compliance needs.

Generative AI 147

Generative AI Off-The-Shelf Architecture Infrastructure 147