TechCrunch

JANUARY 2, 2022

Founded in 2016 by chief executive officer SeungTaek Oh, the startup has three data annotation tools: AIMMO DaaS, which manages sensor fusion data for autonomous vehicle corporations; AIMMO GtaaS, a turnkey-based platform for big data; and AIMMO Enterprises, launched in 2020, a web-based SaaS annotation labeling tool using cloud architecture.

Artificial Inteligence 350

Artificial Inteligence Technology Artificial Intelligence Data 350

Dell EMC

MAY 28, 2020

About 20 years ago, I started my journey into data warehousing and business analytics. Over all these years, it’s been interesting to see the evolution of big data and data warehousing, driven by the rise of artificial intelligence and widespread adoption of Hadoop. READ MORE.

Big Data 97

Big Data Data Artificial Intelligence Artificial Inteligence 97

CIO

MARCH 13, 2025

Hes seeing the need for professionals who can not only navigate the technology itself, but also manage increasing complexities around its surrounding architectures, data sets, infrastructure, applications, and overall security. Now the company is building its own internal program to train AI engineers.

Part-Time VPE 205

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

CIO

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data 199

Data Data Engineering Database Administration Artificial Inteligence 199

Altexsoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. Which Big Data tasks does Spark solve most effectively? How does it work?

Big Data 98

Big Data Tools Data Storage 98

TechCrunch

JANUARY 26, 2022

Israeli startup Firebolt has been taking on Google’s BigQuery, Snowflake and others with a cloud data warehouse solution that it claims can run analytics on large datasets cheaper and faster than its competitors. Another sign of its growth is a big hire that the company is making. billion valuation.

Analytics 218

Analytics Data Big Data Business Intelligence 218

TechCrunch

SEPTEMBER 27, 2021

As more enterprises migrate to cloud-based architectures, they are also taking on more applications (because they can) and, as a result of that, more complex workloads and storage needs. Firebolt raises $127M more for its new approach to cheaper and more efficient Big Data analytics.

Artificial Inteligence 246

Artificial Inteligence Applications Cloud Artificial Intelligence 246

Cloudera

OCTOBER 20, 2022

Big data platforms (BDP) such as Cloudera Data Platform (CDP) can easily consume, store, manage, and analyze very large amounts of data, such as log files, application status, and containers. BDPs can also hold data for longer periods of time and examine it to enable pattern correlation.

Big Data 75

Big Data Data Malware Government 75

TechCrunch

DECEMBER 9, 2020

For many organizations, the shift to cloud computing has played out more realistically as a shift to hybrid architectures, where a company’s data is just as likely to reside in one of a number of clouds as it might in an on-premise deployment, in a data warehouse or in a data lake.

Data 253

Data Big Data Analytics Enterprise 253

Hacker Earth Developers Blog

JUNE 24, 2019

When it comes to understanding computing processes, especially in today’s front end and backend development world, most of the times everything revolves heavily around analyzing the algorithmic architecture in tools, applications, or more complex pieces of software. Which Rendering Languages are Used. Why is this Considered AI?

Industry 174

Industry Big Data Architecture Machine Learning 174

TechCrunch

OCTOBER 18, 2021

Organizations that have made the leap into using big data to drive their business are increasingly looking for better, more efficient ways to share data with others without compromising privacy and data protection laws, and that is ushering in a rush of technologists building a number of new approaches to fill that need.

Enterprise 340

Enterprise Data Blockchain Healthcare 340

CIO

NOVEMBER 1, 2024

Re-platforming to reduce friction Marsh McLennan had been running several strategic data centers globally, with some workloads on the cloud that had sprung up organically. Several co-location centers host the remainder of the firm’s workloads, and Marsh McLennans big data centers will go away once all the workloads are moved, Beswick says.

Generative AI 183

Generative AI Technical Advisors Insurance Weak Development Team 183

AWS Machine Learning - AI

NOVEMBER 6, 2024

The solution we explore consists of two main components: a Python application for the UI and an AWS deployment architecture for hosting and serving the application securely. Streamlit allows data scientists to create interactive web applications using Python, using their existing skills and knowledge.

Generative AI 119

Generative AI AWS Artificial Inteligence Applications 119

CIO

MARCH 9, 2022

But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI. Traditional data warehouses, for example, support datasets from multiple sources but require a consistent data structure.

Data 178

Data Artificial Inteligence Artificial Intelligence Analytics 178

AWS Machine Learning - AI

OCTOBER 31, 2024

By implementing this architectural pattern, organizations that use Google Workspace can empower their workforce to access groundbreaking AI solutions powered by Amazon Web Services (AWS) and make informed decisions without leaving their collaboration tool. In the following sections, we explain how to deploy this architecture.

Generative AI 123

Generative AI Lambda Applications AWS 123

Crunchbase News

JANUARY 31, 2025

These architectures allow companies to iterate quickly, customize their solutions and reduce overhead. Are they offering scalable architectures that let users easily integrate new capabilities? Investors should prioritize companies that focus on modularity as a way to serve underserved markets and adapt to industry-specific needs.

Healthcare 98

Healthcare Scalability Artificial Inteligence Artificial Intelligence 98

Cloudera

SEPTEMBER 6, 2022

Data has continued to grow both in scale and in importance through this period, and today telecommunications companies are increasingly seeing data architecture as an independent organizational challenge, not merely an item on an IT checklist. Why telco should consider modern data architecture. The challenges.

Telecommunications 84

Telecommunications Architecture Data Government 84

Gorilla Logic

DECEMBER 2, 2021

You’ll likely get started by defining the app’s design and architecture, which involves a long list of considerations. As software development has evolved over the years, the number of software architecture patterns to help us answer these questions and solve these problems has grown tenfold. Client-Server Pattern. Layered Pattern.

Architecture 85

Architecture Software Review Software Microservices 85

Perficient

NOVEMBER 17, 2024

Datasphere empowers organizations to unify and analyze their enterprise data landscape without the need for complex extraction or rebuilding processes. This blog explores the key features of SAP Datasphere and Databricks, their complementary roles in modern data architectures, and the business value they deliver when integrated.

Artificial Inteligence 59

Artificial Inteligence Machine Learning Architecture Analytics 59

OverOps

APRIL 23, 2019

The main features of a hybrid cloud architecture can be narrowed down into the following: An organization’s on-premises data center, public and private cloud resources and workloads are bound together using conventional data management, while at the same time, staying separate. Increased Architectural Flexibility.

Cloud 189

Cloud Data Center Architecture AWS 189

CIO

NOVEMBER 1, 2024

Re-platforming to reduce friction Marsh McLellan had been running several strategic data centers globally, with some workloads on the cloud that had sprung up organically. Several co-location centers host the remainder of the firm’s workloads, and Marsh McLellan’s big data centers will go away once all the workloads are moved, Beswick says.

Generative AI 158

Generative AI Technical Advisors Insurance Weak Development Team 158

O'Reilly Media - Data

MAY 24, 2018

This episode of the Data Show marks our 100th episode. We had a collection of friends who were key members of the data science and big data communities on hand and we decided to record short conversations with them. This podcast stemmed out of video interviews conducted at O’Reilly’s 2014 Foo Camp.

Data Engineering 180

Data Engineering Engineering Data Machine Learning 180

Hacker Earth Developers Blog

JANUARY 31, 2020

Primarily, his thought leadership is focused on leveraging Big Data, Machine Learning, and Data Science to drive and enhance an organization’s business, address business challenges, and lead innovation. Furthermore, he has authored Neural Network Architectures for Artificial Intelligence. Dr. Fei-Fei Li. Follow @drfeifei.

Artificial Inteligence 362

Artificial Inteligence Machine Learning Artificial Intelligence Technical Advisors 362

Hacker Earth Developers Blog

JANUARY 31, 2020

Primarily, his thought leadership is focused on leveraging Big Data, Machine Learning, and Data Science to drive and enhance an organization’s business, address business challenges, and lead innovation. Furthermore, he has authored Neural Network Architectures for Artificial Intelligence. Dr. Fei-Fei Li. Follow @drfeifei.

Artificial Inteligence 362

Artificial Inteligence Machine Learning Artificial Intelligence Technical Advisors 362

CIO

APRIL 1, 2025

Cohesive, structured data is the fodder for sophisticated mathematical models that generates insights and recommendations for organizations to take decisions across the board, from operations to market trends. But with big data comes big responsibility, and in a digital-centric world, data is coveted by many players.

Data 88

Data Authentication Compliance Artificial Intelligence 88

The Crazy Programmer

SEPTEMBER 28, 2022

David’s main areas of investigation are as under: Parallel computing Computer architecture Distributed computing Workload Embedded system. Books written by David on computer architecture are extensively used in computer science education. 99% of all new chips use RISC architecture since 2018. Contributions to the World.

Software Engineering 173

Software Engineering Architecture Storage Education 173

CIO

JANUARY 6, 2023

But 86% of technology managers also said that it’s challenging to find skilled professionals in software and applications development, technology process automation, and cloud architecture and operations. Companies will have to be more competitive than ever to land the right talent in these high-demand areas.

LAN 215

LAN How To Systems Administration Software Engineering 215

CloudZero

JUNE 7, 2021

Big data empowers enterprises to uncover valuable insights from it and make sound business decisions. However, limited data access acts as a barrier to innovation. Traditional databases with their carefully controlled schemas and lack of agility are proving inadequate in meeting the needs of data-hungry businesses.

Data 98

Data Architecture Big Data Agile 98

TechCrunch

DECEMBER 1, 2020

DevOps continues to get a lot of attention as a wave of companies develop more sophisticated tools to help developers manage increasingly complex architectures and workloads. ” Not a great scenario.

Tools 214

Tools Data Weak Development Team Big Data 214

CIO

AUGUST 9, 2022

But data engineers also need soft skills to communicate data trends to others in the organization and to help the business make use of the data it collects. Data engineers and data scientists often work closely together but serve very different functions. Data engineer vs. data architect.

Data Engineering 197

Data Engineering Analytics Engineering Data 197

CIO

SEPTEMBER 14, 2023

But data engineers also need soft skills to communicate data trends to others in the organization, and to help the business make use of the data it collects. Data engineer vs. data architect The data engineer and data architect roles are closely related and frequently confused.

Data Engineering 203

Data Engineering Analytics Engineering Data 203

CIO

JANUARY 20, 2023

2] Foundational considerations include compute power, memory architecture as well as data processing, storage, and security. It’s About the Data For companies that have succeeded in an AI and analytics deployment, data availability is a key performance indicator, according to a Harvard Business Review report. [3]

Analytics 205

Analytics Artificial Inteligence Artificial Intelligence Hardware 205

Cloudera

JULY 29, 2022

Corporations are generating unprecedented volumes of data, especially in industries such as telecom and financial services industries (FSI). However, not all these organizations will be successful in using data to drive business value and increase profits. Is yours among the organizations hoping to cash in big with a big data solution?

Architecture 89

Architecture Industry Artificial Inteligence Data 89

CIO

NOVEMBER 28, 2023

But at the other end of the attention spectrum is data management, which all too frequently is perceived as being boring, tedious, the work of clerks and admins, and ridiculously expensive. Still, to truly create lasting value with data, organizations must develop data management mastery. And here is the gotcha piece about data.

Data 197

Data Artificial Intelligence Artificial Inteligence Architecture 197

CIO

MAY 10, 2024

Service-oriented architecture (SOA) Service-oriented architecture (SOA) is an architectural framework used for software development that focuses on applications and systems as independent services. Because of this, NoSQL databases allow for rapid scalability and are well-suited for large and unstructured data sets.

SOA 195

SOA Linux Video Architecture 195

AWS Machine Learning - AI

OCTOBER 16, 2024

Video data analysis with AI wasn’t required for generating detailed, accurate, and high-quality metadata. The general architecture of the metadata pipeline consists of two primary steps: Generate transcriptions of audio tracks: use speech recognition models to generate accurate transcripts of the audio content.

Media 117

Media Video Artificial Inteligence Generative AI 117