TechCrunch

MAY 9, 2022

Pervasive BI remains elusive, but statistics on the category reveal that about a third of employees use BI tools for analytics to inform strategy. The big data and business analytics market could be worth $684 billion by 2030, according to Valuates Reports, if such outrageously high estimates are to be believed.

Analytics 215

Analytics Business Intelligence Software Review Business Analytics 215

CIO

MARCH 26, 2025

G42, based in Abu Dhabi, UAE,is a global technology pioneer specializing in AI, digital infrastructure, and big data analytics. Artificial intelligence offers a tremendous opportunity to continue to advance and fulfill our mission of caring for life, researching for health, and educating those who serve.

Healthcare 97

Healthcare Innovation Artificial Intelligence Artificial Inteligence 97

CIO

OCTOBER 18, 2023

“IDH holds a potentially severe immediate risk for patients during dialysis and therefore requires immediate attention from staff,” says Hanjie Zhang, director of computational statistics and artificial intelligence at the Renal Research Institute, a joint venture of Fresenius North America and Beth Israel Medical Center. “As

Artificial Inteligence 200

Artificial Inteligence Analytics Machine Learning Artificial Intelligence 200

CIO

DECEMBER 30, 2024

From artificial intelligence to blockchain and smart cities, the UAEs tech landscape is set to host some of the most significant gatherings of innovators, investors, and entrepreneurs in the region.

Artificial Inteligence 88

Artificial Inteligence Blockchain Artificial Intelligence Healthcare 88

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

CIO

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. from 2022 to 2028.

Analytics 218

Analytics Data Artificial Inteligence Healthcare 218

O'Reilly Media - Ideas

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. Temporal data and time-series. Automation in data science and big data. Graph technologies and analytics.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Enterprise 111

TechCrunch

NOVEMBER 14, 2021

That is, comparatively speaking, when you consider the data realities we’re facing as we look to 2022. In that Economist report, I spoke about society entering an “Industrial Revolution of Data,” which kicked off with the excitement around Big Data and continues into our current era of data-driven AI.

Industry 335

Industry Artificial Inteligence Data Artificial Intelligence 335

CIO

MARCH 15, 2024

The first leader of the fledgling Chief Digital and Artificial Intelligence Office [CDAO] in the US Department of Defense is leaving his post, but the Pentagon already has a successor lined up. Artificial Intelligence, Government IT The DOD didn’t disclose the reason for his departure.

Artificial Inteligence 187

Artificial Inteligence Artificial Intelligence Big Data Analytics 187

Xebia

MARCH 30, 2025

“The fine art of data engineering lies in maintaining the balance between data availability and system performance.” ” Ted Malaska At Melexis, a global leader in advanced semiconductor solutions, the fusion of artificial intelligence (AI) and machine learning (ML) is driving a manufacturing revolution.

Testing 130

Testing Artificial Inteligence Comparison Software Review 130

TechCrunch

SEPTEMBER 27, 2021

Machine learning and other artificial intelligence applications add even more complexity. This is an issue that extends to different aspects of enterprise IT: for example, Firebolt is building architecture and algorithms to reduce the bandwidth needed specifically for handling big data analytics.

Artificial Inteligence 246

Artificial Inteligence Applications Cloud Artificial Intelligence 246

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.

Big Data 103

Big Data Data Artificial Intelligence Artificial Inteligence 103

N2Growth Blog

JANUARY 29, 2024

The advent of Artificial Intelligence has disrupted multiple sectors, and the executive search industry is no different. With its immense power to decode complex data, AI is reshaping how the best search partners identify and acquire top-tier organizational talent.

Artificial Inteligence 88

Artificial Inteligence Artificial Intelligence Recruiting Big Data 88

CIO

NOVEMBER 11, 2024

As industries worldwide are transformed by the rapid rise of artificial intelligence (AI), the 18th edition of the IDC Middle East CIO Summit will set the stage for an exciting new chapter in business innovation.

Artificial Intelligence 78

Artificial Intelligence Artificial Inteligence IoT Generative AI 78

CIO

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. 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.

Artificial Inteligence 178

Artificial Inteligence Data Artificial Intelligence Analytics 178

Perficient

OCTOBER 9, 2024

Recently, the news broke that Optimizely acquired Netspring, a warehouse-native analytics platform. Simplifying Omnichannel Analytics for Real Digital Impact Netspring is not just another analytics platform. It is focused on making warehouse-native analytics accessible to organizations of all sizes.

Analytics 97

Analytics Artificial Intelligence Artificial Inteligence Big Data 97

O'Reilly Media - Data

APRIL 11, 2018

It’s important to understand the differences between a data engineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with big data. I think some of these misconceptions come from the diagrams that are used to describe data scientists and data engineers.

Data Engineering 280

Data Engineering Engineering Data Artificial Inteligence 280

Dell EMC

SEPTEMBER 11, 2018

It’s a big data boom with Ready Solutions for Big Data It has taken years, but big data analytics has evolved from the latest IT buzzword into a core part of the enterprise. READ MORE.

Big Data 102

Big Data Data Analytics Enterprise 102

TechCrunch

SEPTEMBER 29, 2021

But in the face of growing demands for privacy, businesses have the opportunity to overhaul their relationship with customer data to focus solely on first-party data and patterns of behavior. Brands don’t need to know who; they need to know what and why. Pattern analysis as a way forward.

Artificial Inteligence 229

Artificial Inteligence Data Artificial Intelligence Machine Learning 229

Dell EMC

FEBRUARY 18, 2020

With the new Dell EMC HPC Ready Architecture for Artificial Intelligence and Data Analytics, you can now run AI, data analytics and HPC workloads on a single system. In today’s marketplaces, competitive advantage increasingly goes to the data?driven driven enterprise.

Analytics 102

Analytics Artificial Intelligence Artificial Inteligence System 102

CIO

MAY 7, 2024

The achievement is testament to ADNOC’s longstanding strategy to develop and deploy pioneering technologies such as AI, robotic automation, and advanced data analytics. Artificial Intelligence

Energy 148

Energy Artificial Intelligence Artificial Inteligence Big Data 148

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 130

Artificial Inteligence Games Artificial Intelligence Machine Learning 130

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

JANUARY 13, 2023

Software-based advanced analytics — including big data, machine learning, behavior analytics, deep learning and, eventually, artificial intelligence. But improved use of automation — combined with software-based advanced analytics — can help level the playing field.

Security 218

Security Innovation Artificial Inteligence Weak Development Team 218

CIO

JANUARY 19, 2024

Whether you’re looking to earn a certification from an accredited university, gain experience as a new grad, hone vendor-specific skills, or demonstrate your knowledge of data analytics, the following certifications (presented in alphabetical order) will work for you. Not finding what you’re looking for?

Artificial Inteligence 190

Artificial Inteligence Data Machine Learning Azure 190

TechCrunch

MARCH 15, 2022

Cybercrime is on the rise, and today an insurance startup that’s built an artificial intelligence-based platform to help manage the risks from that is announcing a big round of funding to meet the opportunity. “Underwriting cyber insurance for SMEs is a more dire prospect than for large enterprises,” he said.

Insurance 260

Insurance SMB Artificial Intelligence Artificial Inteligence 260

CIO

MARCH 13, 2025

And the challenge isnt just about finding people with technical skills, says Bharath Thota, partner at Kearneys Digital & Analytics Practice. We already have a pretty big data engineering and data science practice, and weve been working with machine learning for a while, so its not completely new to us, he says.

Part-Time VPE 205

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

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?

Artificial Inteligence 59

Artificial Inteligence Machine Learning Architecture Analytics 59

CIO

NOVEMBER 28, 2023

This means excelling in the under-the-radar disciplines of data architecture and data governance. Emotionally, culturally, and psychologically data management has to be rebranded — in the words of Sumathi Thiyagarajan , VP of business strategy and analytics for the Milwaukee Bucks — as “joyous” work.

Data 197

Data Artificial Intelligence Artificial Inteligence Architecture 197

CIO

OCTOBER 13, 2023

Information/data governance architect: These individuals establish and enforce data governance policies and procedures. Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence.

Data 199

Data Database Administration Data Engineering Artificial Inteligence 199

TechCrunch

OCTOBER 7, 2021

Increasingly, conversations about big data, machine learning and artificial intelligence are going hand-in-hand with conversations about privacy and data protection.

Artificial Inteligence 246

Artificial Inteligence Engineering Technical Review Data 246

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

TechCrunch

MAY 18, 2021

Artificial estimates that some $10 billion is spent annually on lab informatics and automation software, yet data models to unify that work, and platforms to reach across it all, remain absent. That has, in effect, served as a barrier to labs modernising as much as they could. ” But it is also not unlike a factory, too. .

Artificial Intelligence 246

Artificial Intelligence Artificial Inteligence Hardware Automotive 246

CTOvision

DECEMBER 17, 2019

Read Ronald Schmelzer’s article in Forbes about the ways in which AI is making an impact on the back office: Artificial intelligence is making some of the most remarkable progress in back offices of enterprises of all types.

Artificial Intelligence 15

Artificial Intelligence Artificial Inteligence Enterprise Organization 15

TechCrunch

JANUARY 12, 2021

For a lot of tech watchers and especially those in enterprise, these days when people talk about modeling, thoughts often spring immediately to artificial intelligence and things like big data machine learning, and that’s not too much of a surprise: AI is really the flavor of the month at the moment.

Software Review 170

Software Review Artificial Inteligence Analytics Technical Review 170

TechCrunch

AUGUST 2, 2022

It’ll certainly need a substantial war chest to compete in the growing market for data analytics products. O9 Solutions, which applies analytics to the supply chain and inventory planning and management, recently raised $295 million in a funding round that values the company at $2.7 Unsupervised, Pecan.ai

Analytics 207

Analytics Big Data Enterprise Automotive 207

CIO

AUGUST 18, 2022

Previously, Walgreens was attempting to perform that task with its data lake but faced two significant obstacles: cost and time. Those challenges are well-known to many organizations as they have sought to obtain analytical knowledge from their vast amounts of data. Trading teams wanted to collaborate, but data was scattered.

Data 210

Data Technical Advisors Technical Review Artificial Inteligence 210