TechBeacon

JANUARY 4, 2022

Attending AI, analytics, big data, and machine-learning conferences helps you learn about the latest advancements and achievements in these technologies, things that would likely take too long and too much effort to research and master on your own.

Big Data 141

Big Data Conference Analytics Artificial Inteligence 141

TechCrunch

JULY 12, 2021

to bring big data intelligence to risk analysis and investigations. Quantexa’s machine learning system approaches that challenge as a classic big data problem — too much data for a human to parse on their own, but small work for AI algorithms processing huge amounts of that data for specific ends.

Big Data 257

Big Data Tools Data Healthcare 257

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

TechCrunch

AUGUST 4, 2022

Getting that raw data into a state that can be usable by enterprises, however, is a different story. Today, a Berlin-based startup called LiveEO , which has built a satellite analytics platform to do just that, has raised €19 million ($19.5 Image Credits: LiveEO (opens in a new window) under a CC BY 2.0 opens in a new window) license.

Big Data 228

Big Data Industry Course Data 228

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

FEBRUARY 26, 2021

Jeremy Levy is CEO and co-founder of Indicative , a product analytics platform for product managers, marketers and data analysts. Enterprises Don’t Have Big Data, They Just Have Bad Data. Start by using product analytics to understand the nuances of what’s working and what isn’t, and then double down on the former.

Analytics 226

Analytics Marketing B2C B2B 226

CIO

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. What are the four types of data analytics?

Analytics 203

Analytics Data Analysis Business Analytics 203

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

CIO

DECEMBER 10, 2024

Its a common skill for developers, software engineers, full-stack developers, DevOps engineers, cloud engineers, mobile app developers, backend developers, and big data engineers. Azure skills are common for cloud engineers, solutions architects, azure administrators, data engineers, full-stack developers, and cybersecurity analysts.

UI/UX 203

UI/UX Enterprise Artificial Inteligence Database Administration 203

TechCrunch

APRIL 12, 2022

Showing that the product analytics industry is alive and well, Kubit today announced that it raised $18 million in a series A funding round led by Insight Partners, bringing its total capital raised to $24 million. “Product analytics has proven its significance in many large enterprises’ successes. ”

Analytics 214

Analytics Enterprise Mobile Education 214

TechCrunch

DECEMBER 13, 2022

Dataiku — which sells tools to help customers build, test and deploy AI and analytics applications — has managed to avoid major layoffs, unlike competitors such as DataRobot. ” Dataiku, which launched in Paris in 2013, competes with a number of companies for dominance in the AI and big data analytics space.

Analytics 191

Analytics Big Data Artificial Inteligence Machine Learning 191

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 skills.

Analytics 205

Analytics Data Technical Review Analysis 205

CIO

NOVEMBER 1, 2024

Setting the standard for analytics and AI As the core development platform was refined, Marsh McLennan continued moving workloads to AWS and Azure, as well as Oracle Cloud Infrastructure and Google Cloud Platform. Simultaneously, major decisions were made to unify the company’s data and analytics platform.

Generative AI 183

Generative AI Technical Advisors Insurance Weak Development Team 183

CTOvision

OCTOBER 27, 2020

We track Dun & Bradstreet in the CTOvision tech directory as a a Big Data company. Dun & Bradstreet is recognized as the global leader in commercial data and analytics, […].

Analytics 156

Analytics Data Big Data Company 156

CIO

AUGUST 9, 2022

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. Data engineer job description.

Data Engineering 197

Data Engineering Analytics Engineering Data 197

CIO

SEPTEMBER 14, 2023

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers.

Data Engineering 203

Data Engineering Analytics Engineering Data 203

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

CIO

DECEMBER 30, 2024

In healthcare, AI-driven solutions like predictive analytics, telemedicine, and AI-powered diagnostics will revolutionize patient care, supporting the regions efforts to enhance healthcare services. The Internet of Things will also play a transformative role in shaping the regions smart city and infrastructure projects.

Trends 158

Trends Innovation IoT Disaster Recovery 158

Xicom

JANUARY 20, 2025

Using big data analytics in healthcare can reduce costs by improving patient outcomes, streamlining operations, predicting outbreaks, and optimizing resource allocation. Here in this blog, we will discuss the benefits, types, challenges, and future of data analytics in the healthcare industry. <p>The

Healthcare 59

Healthcare Analytics Data Big Data 59

CIO

NOVEMBER 1, 2024

Setting the standard for analytics and AI As the core development platform was refined, Marsh McLellan continued moving workloads to AWS and Azure, as well as Oracle Cloud Infrastructure and Google Cloud Platform. Simultaneously, major decisions were made to unify the company’s data and analytics platform.

Generative AI 158

Generative AI Technical Advisors Insurance Weak Development Team 158

TechCrunch

DECEMBER 18, 2023

Meltwater, which first made its name around media monitoring and then got active in business intelligence using AI and big data analytics techniques, is picking up a new investor.

Media 273

Media Business Intelligence Big Data Analytics 273

CIO

DECEMBER 13, 2022

Recently, chief information officers, chief data officers, and other leaders got together to discuss how data analytics programs can help organizations achieve transformation, as well as how to measure that value contribution. business, IT, data management, security, risk and compliance etc.) Arguing with data?

Analytics 158

Analytics Strategy Data Metrics 158

Dzone - DevOps

JANUARY 23, 2024

Big data has become increasingly important in today's data-driven world. It refers to the massive amount of structured and unstructured data that is too large to be handled by traditional database systems. To efficiently process and analyze this vast amount of data, organizations need a robust and scalable architecture.

Big Data 101

Big Data Architecture Data Scalability 101

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

TechCrunch

NOVEMBER 7, 2022

More data is good when it comes to this sort of “healthcare analytics” work, so the additional 11 providers matter. Truveta’s big data healthcare project is pretty cool by Alex Wilhelm originally published on TechCrunch. But more notably, Truveta’s software product launched earlier this month.

Big Data 125

Big Data Healthcare Data Windows 125

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

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

TechCrunch

DECEMBER 16, 2020

During their time at Segment, Hightouch co-founders Tejas Manohar and Josh Curl witnessed the rise of data warehouses like Snowflake, Google’s BigQuery and Amazon Redshift — that’s where a lot of Segment data ends up, after all. Typically, though, this information is then only used for analytics purposes.

Data 251

Data Analytics B2C Big Data 251

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

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

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

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

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

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