CIO

JANUARY 20, 2023

Topping the list of executive priorities for 2023—a year heralded by escalating economic woes and climate risks—is the need for data driven insights to propel efficiency, resiliency, and other key initiatives. Many companies have been experimenting with advanced analytics and artificial intelligence (AI) to fill this need.

Analytics 205

Analytics Artificial Inteligence Artificial Intelligence Hardware 205

CIO

NOVEMBER 1, 2024

As part of MMTech’s unifying strategy, Beswick chose to retire the data centers and form an “enterprisewide architecture organization” with a set of standards and base layers to develop applications and workloads that would run on the cloud, with AWS as the firm’s primary cloud provider.

Generative AI 158

Generative AI Technical Advisors Insurance Weak Development Team 158

CIO

OCTOBER 18, 2023

The project, dubbed Real-Time Prediction of Intradialytic Hypotension Using Machine Learning and Cloud Computing Infrastructure, has earned Fresenius Medical Care a 2023 CIO 100 Award in IT Excellence. CIO 100, Digital Transformation, Healthcare Industry, Predictive Analytics

Artificial Inteligence 200

Artificial Inteligence Analytics Machine Learning Artificial Intelligence 200

TechCrunch

SEPTEMBER 27, 2021

Sanjay Gajendra, Astera’s chief business officer, notes that the chip giant is collaborating with the startup to develop PCI Express and CXL (Compute Express Link) technology and products to “increase bandwidth, performance, and resource availability in next generation server and storage infrastructure.”

Artificial Inteligence 246

Artificial Inteligence Applications Cloud Artificial Intelligence 246

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Temporal data and time-series analytics.

Big Data 107

Big Data Technology Tools Cloud 107

TechCrunch

AUGUST 19, 2021

People can thrive with data just as well as models, especially if the company invests in them and makes sure to equip them with basic analysis skills. The first step is to focus on making data accessible and easy to use and not on hauling in as much data as possible. How to ensure data quality in the era of Big Data.

Company 314

Company Data Artificial Inteligence Machine Learning 314

CIO

MARCH 26, 2025

G42, based in Abu Dhabi, UAE,is a global technology pioneer specializing in AI, digital infrastructure, and big data analytics. The partnership will create a joint task forceto assess, prioritize, and expedite AI-powered efforts to enhance patient care, medical research, and operational efficiency.

Healthcare 97

Healthcare Innovation Artificial Intelligence Artificial Inteligence 97

TechCrunch

JULY 12, 2022

SingleStore , a provider of databases for cloud and on-premises apps and analytical systems, today announced that it raised an additional $40 million, extending its Series F — which previously topped out at $82 million — to $116 million. The provider allows customers to run real-time transactions and analytics in a single database.

Storage 206

Storage Big Data Analytics Survey 206

The Crazy Programmer

NOVEMBER 6, 2021

Currently, the demand for data scientists has increased 344% compared to 2013. hence, if you want to interpret and analyze big data using a fundamental understanding of machine learning and data structure. A cloud architect has a profound understanding of storage, servers, analytics, and many more.

Artificial Inteligence 290

Artificial Inteligence Blockchain Software Review Artificial Intelligence 290

Altexsoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics.

Big Data 78

Big Data Analytics Tools Applications 78

Daffodil Software

JUNE 20, 2021

The radiology wing of hospital systems and diagnostic centers generates an abundance of sensitive data. However, they often lack the analytics infrastructure to access and parse the data efficiently. To make the most of this available big data, radiologists are leveraging AI-based imaging analytics.

Analytics 105

Analytics Healthcare Big Data Infrastructure 105

O'Reilly Media - Data

JUNE 5, 2018

As enterprises mature their big data capabilities, they are increasingly finding it more difficult to extract value from their data. This is primarily due to two reasons: Organizational immaturity with regard to change management based on the findings of data science.

Data 186

Data Big Data Systems Review Technical Review 186

OTS Solutions

JUNE 3, 2022

Patient data is sent through strategic touchpoints to these devices, often controlled remotely via software and associated infrastructure. The first 5G data cards and 5G smartphones hit the market in 2019 and have been available since then. . It’s all about big data. .

Healthcare 345

Healthcare Artificial Inteligence Trends Artificial Intelligence 345

CIO

JANUARY 6, 2023

Cloud engineers should have experience troubleshooting, analytical skills, and knowledge of SysOps, Azure, AWS, GCP, and CI/CD systems. Database developers should have experience with NoSQL databases, Oracle Database, big data infrastructure, and big data engines such as Hadoop.

LAN 215

LAN How To Systems Administration Software Engineering 215

Altexsoft

DECEMBER 9, 2020

In the era of global digital transformation , the role of data analysis in decision-making increases greatly. Still, today, according to Deloitte research, insight-driven companies are fewer than those not using an analytical approach to decision-making, even though the majority agrees on its importance. Stages of analytics maturity.

Analytics 102

Analytics Technical Review Technology Applications 102

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

AUGUST 2, 2022

. “We’ve found that Arena drives a step change in value because we’re not only introducing a new paradigm of decision-making for the enterprise, but also meeting C-suite and their companies’ existing infrastructure where they are,” Ranade said. “The pandemic was actually a reaffirming moment for us. Unsupervised, Pecan.ai

Analytics 207

Analytics Big Data Enterprise Automotive 207

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

Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.

Analytics 96

Analytics Network Innovation Open Source 96

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

Infinidat

MARCH 10, 2021

Re-Thinking the Storage Infrastructure for Business Intelligence. Guest Blogger: Eric Burgener, Research Vice President, Infrastructure Systems, Platforms and Technologies, IDC. Adriana Andronescu. Wed, 03/10/2021 - 12:42.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98

Dell EMC

NOVEMBER 25, 2019

Is your company aiming to be a leader in the field of predictive analytics? more likely to lead the competition in business intelligence and analytics. Converged/hyperconverged infrastructure to support AI workloads. New research suggests it should. Accelerators such as GPUs or FPGAs to support AI workloads.

Analytics 58

Analytics Business Intelligence Research Infrastructure 58

Altexsoft

JANUARY 22, 2020

As a result, it became possible to provide real-time analytics by processing streamed data. Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview. Batch processing.

Analytics 20

Analytics Data IoT Analysis 20

Cloudera

AUGUST 3, 2021

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. .

Analytics 111

Analytics Open Source Government Artificial Inteligence 111

TechCrunch

JANUARY 6, 2022

Nine months after its public launch, Verb Data , a customer-facing analytics company, took in $3 million in funding to continue developing technology so that SaaS companies can build better in-product dashboards for their customers. How to ensure data quality in the era of big data.

Company 190

Company Data Analytics Software 190

Altexsoft

AUGUST 25, 2020

Big data can be quite a confusing concept to grasp. What to consider big data and what is not so big data? Big data is still data, of course. Big data is tons of mixed, unstructured information that keeps piling up at high speed. Data engineering vs big data engineering.

Big Data 75

Big Data Data Engineering Engineering Data 75

Openxcell

JUNE 9, 2023

All this raw information, patterns and details is collectively called Big Data. Big Data analytics,on the other hand, refers to using this huge amount of data to make informed business decisions. Let us have a look at Big Data Analytics more in detail. What is Big Data Analytics?

Big Data 52

Big Data Analytics Tools Data 52

Perficient

NOVEMBER 17, 2024

Key features of the data fabric include: Data Cataloging Centralized metadata management and lineage. Semantic Modeling Retaining relationships, hierarchies, and KPIs for analytics. Federation and Replication Choose between connecting or replicating data. What is Databricks? How do they complement each other?

Artificial Inteligence 59

Artificial Inteligence Machine Learning Architecture Analytics 59

TechCrunch

SEPTEMBER 7, 2021

It’s in too many places, and there is just too much of it, and it’s growing every day (and changing every day), which means that traditional approaches of porting data to a centralized location to run analytics on it just wouldn’t be efficient, and would cost a fortune to execute. That is where Segera comes in.

Data 200

Data Machine Learning Artificial Inteligence Pharmaceuticals 200

TechCrunch

JUNE 17, 2021

The big breakthrough that Transform has made is that it’s built a metrics engine that a company can apply to its structured data — a tool similar to what Big Tech companies have built for their own use, but that hasn’t really been created (at least until now) for others who are not those Big Tech companies to use, too.

Metrics 247

Metrics Tools Data Big Data 247

CIO

MAY 7, 2024

ADNOC has developed its digital infrastructure, enabling the company to rapidly expand its business, unlock untapped opportunities, and responsibly supply energy to meet customer needs. AI is revolutionizing entire sectors and ADNOC aims to be the most AI-enabled company in the energy industry.

Energy 148

Energy Artificial Intelligence Artificial Inteligence Big Data 148

TechBeacon

MARCH 18, 2020

IT and security leaders have difficult roles: They must support business initiatives, manage large numbers of vendors, maintain hybrid IT infrastructure, and defend against cyber-attack.

Compliance 131

Compliance Analytics Data Infrastructure 131

DevOps.com

APRIL 26, 2020

Artificial intelligence for IT operations (AIOps) is a fairly new catch-all term for any multi-layered development initiative involving big data analytics, machine learning and/or AI to automate and solve business and IT problems. This is a dramatic shift in […].

Artificial Inteligence 131

Artificial Inteligence Games Artificial Intelligence Machine Learning 131

Agile Engine

DECEMBER 27, 2023

From emerging trends to hiring a data consultancy, this article has everything you need to navigate the data analytics landscape in 2024. What is a data analytics consultancy? Big data consulting services 5. 4 types of data analysis 6. Data analytics use cases by industry 7.

Big Data 52

Big Data Analytics Data Analysis 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. She has experience across analytics, big data, ETL, cloud operations, and cloud infrastructure management.

Data 111

Data AWS Groups Knowledge Base 111

TechCrunch

APRIL 24, 2022

Soon, the plan will be to incorporate more quality control tools, supply chain finance, personalization for buyers and sellers to connect more likely trades; and further down the line, the startup will also bring more business intelligence and analytics into the mix for its customers.

Retail 242

Retail Business Intelligence Analytics Industry 242

TechCrunch

JUNE 30, 2022

According to Dean, their clients kept bumping into limitations — mainly, that data was “stuck” inside of tools like Google Analytics. Dean argues that creating new behavioral data as opposed to reusing existing data can lead to higher-quality datasets for AI and analytics. Segment, mParticle). .

Data 187

Data Analytics Business Intelligence Google Cloud 187