CIO

MARCH 13, 2025

Providing opportunities for AI engagement We dont just want to control AI we want to help our organization use it effectively. By fostering a culture of innovation, embracing emerging technologies like AI, and assembling a forward-thinking team, your organization will be well-positioned to lead, adapt and thrive.

Company 186

Company Generative AI Insurance Education 186

Altexsoft

JUNE 25, 2019

Being at the top of data science capabilities, machine learning and artificial intelligence are buzzing technologies many organizations are eager to adopt. However, they often forget about the fundamental work – data literacy, collection, and infrastructure – that must be done prior to building intelligent data products.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

CIO

JANUARY 22, 2024

While the average person might be awed by how AI can create new images or re-imagine voices, healthcare is focused on how large language models can be used in their organizations. For healthcare organizations, what’s below is data—vast amounts of data that LLMs will have to be trained on. Consider the iceberg analogy.

Generative AI 147

Generative AI Healthcare Fractional CTO Artificial Inteligence 147

CIO

FEBRUARY 25, 2025

One of the best ways to keep the bigger picture in focus is to sit down with people across your organization and ask questions: Where do your customers struggle? We brought together representatives from across the organization to agree on a common taxonomy for our data and capabilities. It wasnt easy.

Data 136

Data Innovation Insurance Culture 136

TechCrunch

MARCH 7, 2023

A data scientist entering a new organization with the goal of automating and improving the business will usually try to manually collect enough data to first prove there is value in creating AI. Once a successful proof of concept is made, the team often hits a wall regarding its data management.

Weak Development Team 246

Weak Development Team Case Study Data Engineering ChatGPT 246

Cloudera

MAY 3, 2021

It’s already clear that a small number of organizations are running away with the first-mover advantage.”. Cloudera sees success in terms of two very simple outputs or results – building enterprise agility and enterprise scalability. Benefits of Streaming Data for Business Owners. Unpredictable Data Volume and Flow.

Scalability 103

Scalability Agile Data Systems Review 103

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

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. What is DataOps?

Analytics 195

Analytics Data Engineering Machine Learning Artificial Inteligence 195

Cloudera

NOVEMBER 22, 2021

In legacy analytical systems such as enterprise data warehouses, the scalability challenges of a system were primarily associated with computational scalability, i.e., the ability of a data platform to handle larger volumes of data in an agile and cost-efficient way. CRM platforms).

Scalability 94

Scalability Data Technical Review Analytics 94

TechCrunch

NOVEMBER 4, 2022

I know this because I used to be a data engineer and built extract-transform-load (ETL) data pipelines for this type of offer optimization. Part of my job involved unpacking encrypted data feeds, removing rows or columns that had missing data, and mapping the fields to our internal data models.

Data 218

Data Storage Analytics Data Engineering 218

TechCrunch

APRIL 26, 2021

“We are, I believe, a really effective and scalable AI company, not just for the U.K. Palantir doesn’t really do AI, they do data engineering in a big way. Data across the NHS is rather an archipelago. I asked him why Faculty had attracted VC when, typically, VCs invest in startups that have scalable products.

Artificial Inteligence 231

Artificial Inteligence Machine Learning Artificial Intelligence Scalability 231

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 centralized approach simplifies secret management across the organization. Resource Group : Its recommended to organize your Azure resources within a resource group.

Azure 91

Azure Analytics Storage Machine Learning 91

Confluent

JUNE 18, 2019

Software projects of all sizes and complexities have a common challenge: building a scalable solution for search. For this reason and others as well, many projects start using their database for everything, and over time they might move to a search engine like Elasticsearch or Solr. You might be wondering, is this a good solution?

Scalability 97

Scalability Architecture Machine Learning Artificial Inteligence 97

CIO

OCTOBER 9, 2024

As the technology subsists on data, customer trust and their confidential information are at stake—and enterprises cannot afford to overlook its pitfalls. Yet, it is the quality of the data that will determine how efficient and valuable GenAI initiatives will be for organizations.

Strategy 215

Strategy Data Artificial Inteligence Storage 215

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

TechCrunch

NOVEMBER 2, 2022

However, data pipelines built ad hoc are inherently brittle and inevitably break over time, leading to an overflow of fire-fighting requests and, ultimately, mistrust in business data. For organizations that rely on data to make mission-critical decisions, this can be fatal,” said Y42 founder and CEO Hung Dang.

Data 203

Data Business Intelligence Open Source Government 203

CIO

APRIL 10, 2024

A quick explainer: In AI inferencing , organizations take a LLM that is pretrained to recognize relationships in large datasets and generate new content based on input, such as text or images. Again—AI inferencing is like Holmes because it uses its data magnifying glass to detect patterns and insights—the clues—hidden in datasets.

Artificial Inteligence 203

Artificial Inteligence Generative AI Storage Artificial Intelligence 203

AWS Machine Learning - AI

APRIL 1, 2025

With App Studio, technical professionals such as IT project managers, data engineers, enterprise architects, and solution architects can quickly develop applications tailored to their organizations needswithout requiring deep software development skills. Outside of work, Samit enjoys playing cricket, traveling, and biking.

AWS 103

AWS Software Review Technical Review Generative AI 103

CIO

OCTOBER 1, 2022

Cretella says P&G will make manufacturing smarter by enabling scalable predictive quality, predictive maintenance, controlled release, touchless operations, and manufacturing sustainability optimization. Another element to achieving agility at scale is P&G’s “composite” approach to building teams in the IT organization.

Artificial Inteligence 218

Artificial Inteligence Azure IoT Analytics 218

Xebia

MAY 12, 2025

A well-thought-out foundation doesnt just help you avoid technical debt – it sets the stage for scalability, stronger governance, and better security from day one. These arent just technical footnotes; theyre key decisions that impact how secure, scalable, and maintainable your platform will be.

Azure 130

Azure Data Software Review Technical Review 130

AWS Machine Learning - AI

APRIL 23, 2025

By using Mixtral-8x7B for abstractive summarization and title generation, alongside a BERT-based NER model for structured metadata extraction, the system significantly improves the organization and retrieval of scanned documents. Amazon DynamoDB is used to track the processing of each document.

Artificial Inteligence 67

Artificial Inteligence Open Source AWS Serverless 67

TechCrunch

JANUARY 26, 2022

And when it comes to big data troves, the priority for organizations is to have tools to manage them efficiently, and parse and analyse them effectively.

Analytics 218

Analytics Data Big Data Business Intelligence 218

CIO

FEBRUARY 14, 2023

Titanium Intelligent Solutions, a global SaaS IoT organization, even saved one customer over 15% in energy costs across 50 distribution centers , thanks in large part to AI. It’s streaming data that’s collected, processed, and analyzed on a continuous basis. report they have established a data culture 26.5%

Artificial Inteligence 174

Artificial Inteligence Strategy Data Machine Learning 174

Perficient

APRIL 22, 2025

The question we need to ask is: What are modern organizations doing to not only secure all this data but also use it to unlock new business opportunities? ” What topics do you think will be top-of-mind for attendees this year? “Im especially interested in the intersection of data engineering and AI.

Meeting 52

Meeting Data Serverless Data Engineering 52

CIO

JUNE 19, 2024

Three years ago BSH Home Appliances completely rearranged its IT organization, creating a digital platform services team consisting of three global platform engineering teams, and four regional platform and operations teams. Berke Menekli, VP of digital platform services, says it’s one of the best things he ever did.

Weak Development Team 208

Weak Development Team Engineering UI/UX Software Development 208

CIO

AUGUST 3, 2022

They can no longer have “technology people” who work independently from “data people” who work independently from “sales” people or from “finance.” Instead, they must helm organizations in which every employee embraces data and technology as integral to what they do. And they need CIOs to help get them there. The cloud.

Leadership 218

Leadership IoT SDLC Machine Learning 218

AWS Machine Learning - AI

NOVEMBER 15, 2024

The chatbot improved access to enterprise data and increased productivity across the organization. The Principal AI Enablement team, which was building the generative AI experience, consulted with governance and security teams to make sure security and data privacy standards were met.

Generative AI 113

Generative AI AWS Groups Artificial Inteligence 113

Apiumhub

JANUARY 26, 2022

Data engineer roles have gained significant popularity in recent years. Number of studies show that the number of data engineering job listings has increased by 50% over the year. And data science provides us with methods to make use of this data. Who are data engineers?

Data Engineering 52

Data Engineering Engineering Data Machine Learning 52

AWS Machine Learning - AI

NOVEMBER 20, 2024

In today’s data-intensive business landscape, organizations face the challenge of extracting valuable insights from diverse data sources scattered across their infrastructure. The solution combines data from an Amazon Aurora MySQL-Compatible Edition database and data stored in an Amazon Simple Storage Service (Amazon S3) bucket.

Data 111

Data AWS Groups Knowledge Base 111

Capgemini

NOVEMBER 21, 2024

Snowflake and Capgemini powering data and AI at scale Capgemini October 13, 2020 Organizations slowed by legacy information architectures are modernizing their data and BI estates to achieve significant incremental value with relatively small capital investments. What is data estate modernization?

Data 52

Data Government Innovation Architecture 52

CIO

APRIL 27, 2023

The demand for specialized skills has boosted salaries in cybersecurity, data, engineering, development, and program management. Solutions architect Solutions architects are responsible for building, developing, and implementing systems architecture within an organization, ensuring that they meet business or customer needs.

Technical Review 174

Technical Review Software Review Systems Review Software Engineering 174

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

JANUARY 6, 2023

Database developers should have experience with NoSQL databases, Oracle Database, big data infrastructure, and big data engines such as Hadoop. It requires a strong ability for complex project management and to juggle design requirements while ensuring the final product is scalable, maintainable, and efficient.

LAN 215

LAN How To Systems Administration Software Engineering 215

CIO

JULY 29, 2022

Every single decision we make is based on the healthiness of the organization long term.”. For example, if a data team member wants to increase their skills or move to a data engineer position, they can embark on a curriculum for up to two years to gain the right skills and experience. Capital Group.

Groups 147

Groups Security Development Programming 147

Perficient

MARCH 27, 2025

Data privacy regulations such as GDPR , HIPAA , and CCPA impose strict requirements on organizations handling personally identifiable information (PII) and protected health information (PHI). Deletion Vectors in Delta Live Tables offer an efficient and scalable way to handle record deletion without requiring expensive file rewrites.

Compliance 64

Compliance Systems Review Policies Storage 64

CIO

SEPTEMBER 2, 2022

In the finance industry, software engineers are often tasked with assisting in the technical front-end strategy, writing code, contributing to open-source projects, and helping the company deliver customer-facing services. Data engineer.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

CIO

AUGUST 31, 2022

In the finance industry, software engineers are often tasked with assisting in the technical front-end strategy, writing code, contributing to open-source projects, and helping the company deliver customer-facing services. Data engineer.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148