CIO

MAY 8, 2024

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

Innovation 192

Innovation Artificial Inteligence Data Serverless 192

CTOvision

MAY 30, 2014

As part of its commitment to move up the value chain, DigitalGlobe is investing in ways to extract information from its imagery at scale and fuse that with other sources of geospatial data to deliver actionable intelligence for what it calls “show me there” and “show me where” questions. This negates challenges in data logistics.

Big Data 113

Big Data Analytics Data Government 113

CTOvision

MAY 1, 2014

Senior Software Engineer – Big Data. IO is the global leader in software-defined data centers. IO has pioneered the next-generation of data center infrastructure technology and Intelligent Control, which lowers the total cost of data center ownership for enterprises, governments, and service providers.

Big Data 107

Big Data Data Engineering Engineering Data Center 107

Data Virtualization

AUGUST 26, 2020

Recently, we have seen the rise of new technologies like big data, the Internet of things (IoT), and data lakes. But we have not seen many developments in the way that data gets delivered. Modernizing the data infrastructure is the.

Architecture 59

Architecture Data Big Data IoT 59

Altexsoft

NOVEMBER 10, 2021

The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. What is a data lakehouse? Traditional data warehouse platform architecture. Data lake architecture example.

Architecture 52

Architecture Data Storage Machine Learning 52

Invid Group

MARCH 19, 2024

Its algorithms examine enormous volumes of data to find patterns and make judgments or predictions rather than depend solely on strict instructions. ChatGPT is an excellent example of this technology, given that its architecture relies on sifting through large-scale datasets to learn patterns and generate human-like text.

Artificial Inteligence 98

Artificial Inteligence Machine Learning Technical Review Artificial Intelligence 98

CTOvision

SEPTEMBER 5, 2013

Splunk and Cloudera Ink Strategic Alliance to Bring Together Big Data Expertise. Market Leaders in Operational Intelligence and Hadoop Join Forces to Provide Answers to Big Data Challenges. “Splunk’s mission is to make data accessible, usable and valuable to everyone. The following is from: [link].

Big Data 105

Big Data Data Analytics Open Source 105

Altexsoft

AUGUST 29, 2023

Data lakes emerged as expansive reservoirs where raw data in its most natural state could commingle freely, offering unprecedented flexibility and scalability. This article explains what a data lake is, its architecture, and diverse use cases. Who needs a data lake? Data warehouse vs. data lake in a nutshell.

Architecture 52

Architecture Data Storage Machine Learning 52

CIO

MAY 16, 2023

Big Data collection at scale is increasing across industries, presenting opportunities for companies to develop AI models and leverage insights from that data. Its algorithms and architecture make it resistant to tampering and, thus, ideal for storing financial records, medical data, or other sensitive information.

Innovation 217

Innovation Blockchain Artificial Intelligence Artificial Inteligence 217

Altexsoft

AUGUST 22, 2022

What’s more, Gartner identifies data fabric implementation as one of the top strategic technology trends for 2022 and expects that by 2024, data fabric deployments will increase the efficiency of data use while halving human-driven data management tasks. What is data fabric? Data fabric architecture example.

Architecture 52

Architecture Artificial Inteligence Technical Review Data 52

Trigent

MARCH 29, 2023

Rather it requires a conscious effort to design and develop an architecture that delivers an integrated experience regardless of the distribution partners. This allows InsurTechs to take advantage of additional data available with the distribution partner to personalize the coverage and premiums.

Insurance 95

Insurance Strategy Serverless Big Data 95

Trigent

FEBRUARY 8, 2022

The importance of identifying the best Cloud architecture. Massive volumes of data consumed through multiple devices have forced the media industry to revisit how they manage content. Need help with identifying the best cloud architecture to accelerate content performance and increase revenue? Let’s talk.

Architecture 52

Architecture Cloud Media Video 52

Openxcell

JANUARY 6, 2023

The ideal PaaS solution should also offer big data analytics, content management, database administration, systems management, and security for analysts, end users, and professional IT administrators. Everything You Need to Know – Architecture, Benefits & Much More appeared first on OpenXcell. There were 2.09

Architecture 52

Architecture Cloud Storage Google Cloud 52

Altexsoft

MAY 12, 2023

Unlike structured data, which is organized into neat rows and columns within a database, unstructured data is an unsorted and vast information collection. It can come in different forms, such as text documents, emails, images, videos, social media posts, sensor data, etc. Social media posts.

Examples 59

Examples Tools Data Artificial Inteligence 59

CIO

OCTOBER 13, 2023

It’s a role that requires a wide range of skills including model architecture, data and ML pipeline creation, software development skills, experience with popular MLOps tools, and experience with tools such as BERT, GPT, and RoBERTa, among others.

Generative AI 358

Generative AI Company Machine Learning Artificial Inteligence 358

The Crazy Programmer

DECEMBER 13, 2020

Big Data Analysis for Customer Behaviour. Big data is a discipline that deals with methods of analyzing, collecting information systematically, or otherwise dealing with collections of data that are too large or too complex for conventional device data processing applications. CORBA Technology.

Engineering 270

Engineering Wireless 3D Programming 270

CTOvision

FEBRUARY 10, 2015

Hitachi Data Systems Announces Intent to Acquire Pentaho to Deliver More Value From Big Data and the Internet of Things That Matter. Acquisition delivers data integration, business analytics expertise, and foundational technologies that accelerate big data value. Press release below from: [link].

System 114

System Data Big Data Business Analytics 114

Strategy Driven

AUGUST 27, 2015

The Internet and cloud computing have revolutionized the nature of data capture and storage, tempting many companies to adopt a new 'Big Data' philosophy: collect all the data you can; all the time. Big Data is Not Just More Data : That’s because the nature of the data we can now collect has changed.

Big Data 33

Big Data Data Storage Journal 33

Trigent

FEBRUARY 15, 2023

Big Data / Fast Data – Do I need both? Big data is the vast amounts of structured and unstructured data generated from customer interactions, IoT devices, social media, and more. Big data insights are used to identify market trends, determine value propositions, and influence product design.

Data 52

Data Insurance Technical Review Big Data 52

Apiumhub

APRIL 6, 2021

You will often learn some new concepts and actionable tips to enhance your data science and machine learning skills. Data Science Central Data Science Central acts as an online resource hub for just about everything related to data science and big data.

Technical Review 52

Technical Review Data Artificial Inteligence Software Review 52

Mentormate

AUGUST 22, 2023

Its applications include electronic health records (EHRs) for better patient data management, telemedicine services for remote patient care, mobile health applications for self-monitoring and disease management, wearable devices for tracking health and fitness data, and the use of big data and AI for health analytics and personalized healthcare.

Healthcare 98

Healthcare Mobile Applications Comparison 98

Cloudera

DECEMBER 19, 2018

Natural language analytics and streaming data analytics are emerging technologies that will impact the market. Cloud computing has passed the tipping point, with most organizations comfortable moving critical data and applications to the public cloud. Big Data Technologies and Architectures.

Analytics 52

Analytics Trends Data Big Data 52

CIO

FEBRUARY 14, 2023

Augmented or virtual reality, gaming, and the combination of gamification with social media leverages AI for personalization and enhancing online dynamics. Organizations have balanced competing needs to make more efficient data-driven decisions and to build the technical infrastructure to support that goal.

Artificial Inteligence 276

Artificial Inteligence Strategy Data Machine Learning 276

Cloudera

MARCH 24, 2022

Ultimately, while the most important OTT services matured to more closely resemble the quality standards of telco (think social networking, or digital streaming), the telco was rarely in a position to compete, as it moved more like the tortoise than the hare. . Critical for Techcos: Data and AI . Telco loves its data!

Telecommunications 124

Telecommunications Technical Review Weak Development Team Network 124

CTOvision

FEBRUARY 4, 2015

If you are into technology and government and want to find ways to enhance your ability to serve big missions you need to be at this event, 25 Feb at the Hilton McLean Tysons Corner. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

Trigent

OCTOBER 28, 2021

Big data and artificial intelligence will create the most dramatic change, redefining how the industry can connect with all stakeholders and drive growth. AI powers recommendation engines to predict what content should be promoted and when based on customer viewing data, search history, ratings, and even the device customers use.

Media 105

Media Artificial Inteligence Sport Artificial Intelligence 105

Altexsoft

DECEMBER 9, 2020

Diagnostic analytics identifies patterns and dependencies in available data, explaining why something happened. Predictive analytics creates probable forecasts of what will happen in the future, using machine learning techniques to operate big data volumes. Data warehouse architecture. Analytics maturity model.

Analytics 102

Analytics Technical Review Technology Applications 102

CTOvision

JANUARY 15, 2016

Historically, an industry vertical with such a legacy business model and architecture (i.e., Law firms also need software to solve the modern problem of “big data.” very slow to change) would have a very hard time attracting top computer science talent to improve the space.

Artificial Inteligence 71

Artificial Inteligence Artificial Intelligence Big Data Machine Learning 71

Apiumhub

JUNE 13, 2023

Software Development Experts Interviews Inma Navas Our first interview of “Talks with Software Development Experts,” was with Inma Navas, a software engineer and the winner of our Software Architecture Metrics book giveaway. In this project, she also developed an interest in software architecture.

Software Development 65

Software Development Software Review Software Development 65

OTS Solutions

MAY 22, 2023

We try to cover the architecture of ChatGPT to understand how NLP is helping it to generate quick and relatable responses. Architecture of ChatGPT At its core, ChatGPT is based on transformer architecture, a type of neural network that is particularly well-suited for NLP tasks. Excited about ChatGPT? 

ChatGPT 130

ChatGPT Artificial Inteligence Artificial Intelligence Tourism 130

Mobilunity

MAY 3, 2024

High Volume and Velocity: The sheer volume and speed of data generation in fintech—ranging from transaction records to customer interactions—demand robust systems that can process and analyze data in real-time. Data Management Tools: Expertise in big data technologies like Hadoop, Spark, and Kafka is crucial.

Data Engineering 52

Data Engineering Fintech Engineering Data 52

CTOvision

FEBRUARY 26, 2014

Within the Teradata Unified Data Architecture™ the Teradata-Novetta cyber offering provides a compelling, high-ROI solution at a time when cyber threats have never been more voluminous and dangerous. Big Data National security Novetta Novetta Cyber Analytics Novetta Solutions San Francisco Teradata United States'

Analytics 102

Analytics Big Data Conference Malware 102

Apiumhub

MARCH 9, 2023

You should also check third-party review sites and their social media channels to see how they’re positioned in the industry. Carola Lilienthal – author of the book “Sustainable Software Architecture” is behind this company and strives to bring more efficiency to software development processes.

Software Review 76

Software Review Technical Review Software Software Development 76

CTOvision

JANUARY 18, 2015

This popular gathering is designed to enable dialogue about business and technical strategies to leverage today’s big data platforms and applications to your advantage. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

Fractional CTO 113

Fractional CTO Program Management Programming Big Data 113

Prisma Clud

NOVEMBER 21, 2023

Common Data Classification Challenges Data Fragmentation It’s challenging to discover and monitor every repository where data needs to be classified when data is spread across services in hybrid environments (cloud-based or on-premises databases, big data platforms, data lakes, collaboration systems).

Data 52

Data Policies Software Review Compliance 52

O'Reilly Media - Ideas

JUNE 4, 2019

Understanding Data Science Algorithms in R: Scaling, Normalization and Clustering , August 14. Real-time Data Foundations: Spark , August 15. Visualization and Presentation of Data , August 15. Python Data Science Full Throttle with Paul Deitel: Introductory AI, Big Data and Cloud Case Studies , September 24.

Course 66

Course Training Artificial Inteligence Software Review 66

Dion Hinchcliffe's Web 2.0 Blog

SEPTEMBER 12, 2011

The problem lies in our classical views of enterprise architecture and business architecture both. SOAP usage has almost completely shifted to REST, complex WS-* stacks have largely moved on to simple standards and methods like Web-Oriented Architecture. But we’ve learned.

Social 65

Social SOA Technical Advisors Architecture 65