O'Reilly Media - Data

AUGUST 16, 2018

The deployment of big data tools is being held back by the lack of standards in a number of growth areas. Technologies for streaming, storing, and querying big data have matured to the point where the computer industry can usefully establish standards. The main standard with some applicability to big data is ANSI SQL.

Big Data 149

Big Data Data Storage Azure 149

CIO

MARCH 21, 2022

What is a data scientist? Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Data scientist requirements. Data scientist skills.

Analytics 205

Analytics Data Technical Review Analysis 205

CIO

OCTOBER 18, 2023

Putting data to work to improve health outcomes “Predicting IDH in hemodialysis patients is challenging due to the numerous patient- and treatment-related factors that affect IDH risk,” says Pete Waguespack, director of data and analytics architecture and engineering for Fresenius Medical Care North America.

Artificial Inteligence 200

Artificial Inteligence Analytics Machine Learning Artificial Intelligence 200

TechCrunch

DECEMBER 9, 2020

Today, a startup that has built a more comprehensive way to assess, analyse and use that data is announcing funding as it looks to take on Snowflake, Amazon, Google and others in the area of enterprise data analytics. Sisense nabs $100M at a $1B+ valuation for accessible big data business analytics.

Data 253

Data Big Data Analytics Enterprise 253

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

TechCrunch

SEPTEMBER 20, 2022

Despite representing 10% of the world’s GDP, the tourism industry has been one of the last to embrace big data and analytics. On the analytics side, Zartico uses AI to predict activity, like the volume of visitors to a certain area, and to extract mentions of travel destinations from unstructured text (e.g. or to places.”

Tourism 240

Tourism Travel Technical Review Big Data 240

N2Growth Blog

DECEMBER 4, 2024

Collaborating closely with the Chief Executive Officer, the operations leader executes the organization’s strategy, makes pivotal decisions, and drives performance across all departments. A data-driven approach is essential, enabling leaders to understand current performance metrics and pinpoint areas for development.

Development Team Review 141

Development Team Review Systems Review Culture Technical Review 141

Altexsoft

MARCH 16, 2021

In this article, we will explain the concept and usage of Big Data in the healthcare industry and talk about its sources, applications, and implementation challenges. What is Big Data and its sources in healthcare? So, what is Big Data, and what actually makes it Big? Let’s see where it can come from.

Big Data 116

Big Data Healthcare Applications Data 116

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

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

OTS Solutions

JUNE 3, 2022

Healthcare professionals can use digital twins to perform safe experiments and assess the effects of potential alterations to a living entity, such as the human body, in their work. Clinicians could soon travel to virtual surroundings and perform robotic procedures using ultra-reliable connections. . It’s all about big data. .

Healthcare 345

Healthcare Artificial Inteligence Trends Artificial Intelligence 345

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

Hacker Earth Developers Blog

JANUARY 31, 2020

He has also served as the Director at Baidu’s Silicon Valley AI Lab, where his team worked on various technologies such as Deep Learning, Natural Language Processing (NLP), and High-Performance Computing (HPC). Dr. Kirk Borne, a data scientist and astrophysicist, is one of the leading influencers in the Big Data/Data Science/AI space.

Artificial Inteligence 362

Artificial Inteligence Machine Learning Artificial Intelligence Technical Advisors 362

Hacker Earth Developers Blog

JANUARY 31, 2020

He has also served as the Director at Baidu’s Silicon Valley AI Lab, where his team worked on various technologies such as Deep Learning, Natural Language Processing (NLP), and High-Performance Computing (HPC). Dr. Kirk Borne, a data scientist and astrophysicist, is one of the leading influencers in the Big Data/Data Science/AI space.

Artificial Inteligence 362

Artificial Inteligence Machine Learning Artificial Intelligence Technical Advisors 362

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

CIO

APRIL 22, 2022

Data science gives the data collected by an organization a purpose. Data science vs. data analytics. While closely related, data analytics is a component of data science, used to understand what an organization’s data looks like. The benefits of data science. Data science jobs.

Data 210

Data Artificial Inteligence Machine Learning Analytics 210

TechCrunch

AUGUST 25, 2021

Knoetic , a startup that has built a software analytics platform for chief people officers, emerged from stealth today with $18 million in Series A funding. Founded in March 2020, the New York City-based startup has built a platform that combines a social network and a SaaS analytics tool for chief people officers.

Software 246

Software Analytics Network Social 246

TechCrunch

AUGUST 16, 2022

Investments in them are on the rise, but companies are still struggling to become “data-driven” — at least, according to some survey results. NewVantage Partners’ 2022 poll of chief data and analytics officers found that less than half (47.4%) believed that they’re competing on data and analytics.

Weak Development Team 244

Weak Development Team Cloud Analytics Business Intelligence 244

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

DevOps.com

JANUARY 25, 2021

From an organizational perspective, an analytics workload is a way to gain a data-driven business advantage. The post An Analytics Workload is a Critical Data Management Tool appeared first on DevOps.com.

Analytics 128

Analytics Tools Data Testing 128

TechCrunch

AUGUST 2, 2022

. “Today, when the most sophisticated, data-centric business-to-business companies run a promotion, data scientists analyze past data to determine the best type of promotion to run for a specific product in a specific market. Unsupervised, Pecan.ai

Analytics 207

Analytics Big Data Enterprise Automotive 207

DataRobot

OCTOBER 18, 2022

Organizations are looking for AI platforms that drive efficiency, scalability, and best practices, trends that were very clear at Big Data & AI Toronto. DataRobot Booth at Big Data & AI Toronto 2022. These accelerators are specifically designed to help organizations accelerate from data to results.

Big Data 96

Big Data Conference Trends Data 96

CIO

MARCH 15, 2024

There is no doubt that Dr. Plumb’s technical expertise and strategic acumen will enhance the CDAO’s innovative efforts, and help accelerate the DOD’s adoption of data, analytics, and AI to generate decision advantage from the boardroom to the battlefield,” Secretary of Defense Lloyd Austin said in a statement.

Artificial Inteligence 187

Artificial Inteligence Artificial Intelligence Big Data Analytics 187

TechCrunch

FEBRUARY 1, 2022

To underscore the demand for solutions to address this, today a startup called Wayflyer — which has built a new kind of financing platform, using big data analytics and repayments based on a merchant’s revenue activity — is announcing a big round of funding, $150 million.

eCommerce 200

eCommerce Technical Review Big Data Lambda 200

Perficient

NOVEMBER 17, 2024

Semantic Modeling Retaining relationships, hierarchies, and KPIs for analytics. Federation and Replication Choose between connecting or replicating data. Data Pipelines Automated, resilient pipelines for SAP and non-SAP sources. Cost-Effectiveness Reduces infrastructure and operational costs by consolidating data architectures.

Artificial Inteligence 59

Artificial Inteligence Machine Learning Architecture Analytics 59

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. You can intuitively query the data from the data lake.

Data 210

Data Technical Advisors Technical Review Artificial Inteligence 210

TechCrunch

FEBRUARY 23, 2022

However, for private companies, it is hard to know exactly why there was an increase in costs last week — was it due to the company’s performance or happening to everyone else, too. E-commerce companies are data-driven, but typically only have their own historical data to go by, Yarden Shaked told TechCrunch.

Company 285

Company Apparel Technical Review Digital Marketing 285

TechCrunch

NOVEMBER 15, 2022

Jordan Tigani — a founding engineer at Google BigQuery, Google’s fully managed data analysis platform — was working as the chief product officer at SingleStore when he noticed that the vast majority of database workloads were small (less than 10GB in size) and low-bandwidth.

Analytics 182

Analytics Open Source Systems Review Nonprofit 182

TechCrunch

SEPTEMBER 23, 2021

Ocrolus uses a combination of technology, including OCR (optical character recognition), machine learning/AI and big data to analyze financial documents. Ocrolus has emerged as one of the pillars of the fintech ecosystem and is solving for these challenges using OCR, AI/ML, and big data/analytics,” he wrote via email. “We

Fintech 243

Fintech Banking Artificial Inteligence Machine Learning 243

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 Big Data 190

CIO

JANUARY 20, 2023

BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business. The potential use cases for BI extend beyond the typical business performance metrics of improved sales and reduced costs.

Business Intelligence 216

Business Intelligence Data Business Analytics Analytics 216

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

AWS Machine Learning - AI

OCTOBER 16, 2024

For some content, additional screening is performed to generate subtitles and captions. The evaluation focused on two key factors: price-performance and transcription quality. Andrew Shved , Senior AWS Prototyping Architect, helps customers build business solutions that use innovations in modern applications, big data, and AI.

Media 116

Media Video Artificial Inteligence Generative AI 116

CIO

JUNE 13, 2024

Using techniques from a range of disciplines, including computer programming, mathematics, and statistics, data analysts draw conclusions from data to describe, predict, and improve business performance. In July 2023, IDC forecast big data and analytics software revenue would hit $122.3 CAGR through 2027.

Data 148

Data Analytics Transportation Business Intelligence 148

TechCrunch

MAY 27, 2021

In a nutshell, Wayflyer uses analytics and sends merchants cash to make inventory purchases or investments in their business. Co-founder Aidan Corbett believes that in a crowded space, Wayflyer’s use of big data gives it an edge over competitors. This is a critical driver of value for e-commerce businesses.

Analytics 214

Analytics Banking Marketing Advertising 214

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 138

Data Big Data Systems Review Technical Review 138

TechCrunch

AUGUST 31, 2021

The company says it will use the funds to grow its team from 60 employees to around 100 by the end of 2021 and increase the deployment of its grid analytics tools. . While Google has big business muscle behind it, Kevala has been working in this space since 2014 and is potentially poised to become an industry leader. .

Energy 227

Energy Infrastructure Tools Systems Review 227