CIO

APRIL 15, 2022

Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. According to CIO’s State of the CIO 2022 report, 35% of IT leaders say that data and business analytics will drive the most IT investment at their organization this year.

Analytics 218

Analytics Artificial Inteligence Machine Learning Systems Review 218

AWS Machine Learning - AI

MARCH 20, 2025

It often requires managing multiple machine learning (ML) models, designing complex workflows, and integrating diverse data sources into production-ready formats. Similarly, Amazon Bedrock Data Automation is simplifying media and entertainment use cases, seamlessly integrating workflows through its unified API.

Data 105

Data Generative AI Artificial Inteligence Compliance 105

CIO

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. What are the four types of data analytics?

Analytics 203

Analytics Data Analysis Business Analytics 203

N2Growth Blog

NOVEMBER 13, 2024

AI and machine learning enable recruiters to make data-driven decisions. Furthermore, predictive analytics can forecast hiring needs based on business growth projections and market trends, allowing organizations to address talent gaps proactively.

Strategy 163

Strategy Marketing Recruiting Technical Review 163

TechCrunch

JUNE 17, 2021

Without people, you don’t have a product,” says Joseph Ifiegbu, who is Snap’s former head of human resources technology and also previous lead of WeWork’s People Analytics team. Ifiegbu joined WeWork’s People Analytics team in 2017, when the company had a total of about 2,000 employees. This prompted them to start working on eqtble. “It

Analytics 237

Analytics Data Resources Recruiting 237

TechCrunch

JULY 20, 2022

Contentsquare remains focused on its original bread and butter, which is to say web and app analytics. and abroad , policymakers are eyeing restrictions on the amount of data advertisers can collect for targeting purposes, making certain analytics products less attractive. In the U.S.

Analytics 235

Analytics Technical Review Artificial Inteligence Nonprofit 235

O'Reilly Media - Data

MAY 3, 2018

Privacy-preserving analytics is not only possible, but with GDPR about to come online, it will become necessary to incorporate privacy in your data products. Which brings me to the main topic of this presentation: how do we build analytic services and products in an age when data privacy has emerged as an important issue?

Analytics 186

Analytics Artificial Inteligence Data Machine Learning 186

O'Reilly Media - Data

AUGUST 2, 2018

The O’Reilly Data Show Podcast: Chang Liu on operations research, and the interplay between differential privacy and machine learning. In a previous post , I highlighted early tools for privacy-preserving analytics, both for improving decision-making (business intelligence and analytics) and for enabling automation (machine learning).

Artificial Inteligence 136

Artificial Inteligence Machine Learning Open Source Business Intelligence 136

AWS Machine Learning - AI

APRIL 1, 2025

A machine learning experiment tracking agent that integrates with the Opik MCP server from Comet ML for managing, visualizing, and tracking machine learning experiments directly within development environments. A developer productivity assistant agent that integrates with Slack and GitHub MCP servers.

Generative AI 133

Generative AI AWS Artificial Inteligence Software Review 133

CIO

MARCH 21, 2022

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. What is a data scientist? Data scientist job description.

Analytics 205

Analytics Data Technical Review Analysis 205

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. Machine Learning model lifecycle management. Deep Learning. Graph technologies and analytics. Data Platforms.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Enterprise 111

O'Reilly Media - Data

NOVEMBER 25, 2019

In this interview from O’Reilly Foo Camp 2019, Dean Wampler, head of evangelism at Anyscale.io, talks about moving AI and machine learning into real-time production environments. In some cases, AI and machine learning technologies are being used to improve existing processes, rather than solving new problems.

Research 326

Research Artificial Inteligence Machine Learning Artificial Intelligence 326

O'Reilly Media - Ideas

NOVEMBER 13, 2018

As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. We recently conducted a survey which garnered more than 11,000 respondents—our main goal was to ascertain how enterprises were using machine learning. Let’s begin by looking at the state of adoption.

Artificial Inteligence 111

Artificial Inteligence Machine Learning Software Review Conference 111

O'Reilly Media - Data

APRIL 11, 2018

Out of this math background, they’re creating advanced analytics. On the extreme end of this applied math, they’re creating machine learning models and artificial intelligence. However, a data scientist’s analytics skills will be far more advanced than a data engineer’s analytics skills. They usually have a Ph.D.

Data Engineering 280

Data Engineering Engineering Data Artificial Inteligence 280

AWS Machine Learning - AI

OCTOBER 29, 2024

This engine uses artificial intelligence (AI) and machine learning (ML) services and generative AI on AWS to extract transcripts, produce a summary, and provide a sentiment for the call. He helps support large enterprise customers at AWS and is part of the Machine Learning TFC.

Generative AI 104

Generative AI Video Engineering Artificial Inteligence 104

O'Reilly Media - Ideas

MAY 23, 2019

Chong has extensive experience using analytics and machine learning in financial services, and he has experience building data science teams in the U.S. Continue reading Applications of data science and machine learning in financial services. and in China.

Artificial Inteligence 111

Artificial Inteligence Machine Learning Applications Data 111

O'Reilly Media - Ideas

SEPTEMBER 21, 2021

For this generation, social media has generated a vast set of new ethical challenges, which is unsurprising when you consider the degree of its influence. Social media has been linked to health risks in individuals and political violence in societies.

Media 141

Media Social Advertising Artificial Inteligence 141

O'Reilly Media - Ideas

SEPTEMBER 5, 2019

A look at why graphs improve predictions and how to create a workflow to use them with existing machine learning tasks. Graph analytics vary from conventional statistical analysis by focusing and calculating metrics based on the relationships between things. More information makes machine learning models more predictive.

Artificial Inteligence 72

Artificial Inteligence Machine Learning Training Metrics 72

TechCrunch

MARCH 2, 2022

Advances in natural language processing are making it possible for companies to gather and learn from customers in new and better ways to help product development teams with their product roadmaps. It used to be done via paper surveys that were mailed out, and you had to wait to get them back. Today, every interaction is digital.

Technology 246

Technology Artificial Inteligence Machine Learning Media 246

Altexsoft

FEBRUARY 5, 2020

In this article, we’ll discuss what the next best action strategy is and how businesses define the next best action using machine learning-based recommender systems. Whether a customer responds to these actions and goes down the funnel or rejects them with irritation, depends on how the company learns their needs.

Artificial Inteligence 110

Artificial Inteligence Machine Learning Marketing How To 110

Altexsoft

SEPTEMBER 27, 2020

Internal Workflow Automation with RPA and Machine Learning. Depending on the work the machine learning algorithms are going to do and regulations, it may require an explanation layer over the core ML system. Machine learning in Insurance: Automation of Claim Processing. But AI remains a heavy investment.

Insurance 130

Insurance Artificial Inteligence Machine Learning Blockchain 130

O'Reilly Media - Data

SEPTEMBER 12, 2018

Watch highlights from expert talks covering data science, machine learning, algorithmic accountability, and more. Preserving privacy and security in machine learning. Ben Lorica offers an overview of recent tools for building privacy-preserving and secure machine learning products and services. Watch " Wait.

Conference 213

Conference Artificial Inteligence Machine Learning Data 213

O'Reilly Media - Data

SEPTEMBER 27, 2019

Cassie Kozyrkov offers actionable advice for taking advantage of machine learning, navigating the AI era, and staying safe as you innovate. Watch “ Staying safe in the AI era “ Recent trends in data and machine learning technologies.

Conference 220

Conference Data Artificial Inteligence Machine Learning 220

TechCrunch

MARCH 15, 2021

million, funding that Xabi Uribe-Etxebarria, Sherpa’s founder and CEO, said it will be using to continue building out a privacy-focused machine learning platform based on a federated learning model alongside its existing conversational AI and search services. The company has closed $8.5

B2B 252

B2B Artificial Inteligence Machine Learning Open Source 252

O'Reilly Media - Ideas

JULY 15, 2019

As companies use machine learning (ML) and AI technologies across a broader suite of products and services, it’s clear that new tools, best practices, and new organizational structures will be needed. Machine learning developers are beginning to look at an even broader set of risk factors. Sources of model risk.

Artificial Inteligence 21

Artificial Inteligence Machine Learning Banking Enterprise 21

TechCrunch

NOVEMBER 14, 2021

In addition to data exhaust and machine-generated data, we started to have adversarial uses of data. Consider social media data and the recent conversations around “fake news.” Today, teenagers share more radically more personal information on social media than the brand of food they purchase. That mentality has largely changed.

Industry 335

Industry Artificial Inteligence Data Artificial Intelligence 335

TechCrunch

FEBRUARY 16, 2022

He later joined a machine learning team at Google, thanks to his mathematics background. But often, their followers who want to buy the item in question have to leave the social media app and go to Google to search for the product. To date, Voila has raised $7.5 million, including from investors SOSV and Artesian.

Artificial Inteligence 229

Artificial Inteligence Machine Learning Apparel Social 229

TechCrunch

MARCH 21, 2022

The CEO is Guru Hariharan, who you might remember from retail analytics company Boomerang Commerce , a Startup Battlefield finalist in 2014. CommerceIQ’s retail e-commerce management tools automate and unify aspects, like category analytics and management of retail media, sales and operations, under one roof for brands.

Infrastructure 223

Infrastructure Retail Artificial Inteligence Machine Learning 223

TechCrunch

MAY 10, 2022

“By 2024, 60% of the data used for the development of AI and analytics projects will be synthetically generated.” Next, there’s the core of the prediction — that synthetic data will be used in the development of most AI and analytics projects. Last but not least is the time horizon. Ofir Zuk (Chakon).

Marketing 199

Marketing Data Artificial Inteligence Machine Learning 199

TechCrunch

MARCH 30, 2023

They sought to build a platform that could prevent bot-based threats, but in a unique way — one that eschewed static rules for machine learning that assesses every request to a website, mobile app or API. ” On the AI and machine learning side, DataDome leverages several AI models to attempt to spot malicious bots.

Artificial Inteligence 226

Artificial Inteligence Machine Learning Firewall Fashion 226

CIO

DECEMBER 19, 2024

In especially high demand are IT pros with software development, data science and machine learning skills. Agritech firms are hiring IoT and AI experts to streamline farming think smart irrigation and predictive crop analytics. In the U.S.,

Artificial Inteligence 78

Artificial Inteligence Sustainability Energy IoT 78

CIO

OCTOBER 13, 2023

In the next six to 12 months, some of the most popular anticipated uses for gen AI include content creation (42%), data analytics (53%), software development (41%), business insight (51%), internal customer support (45%), product development (40%), security (42%), and process automation (51%).

Company 215

Company Generative AI Artificial Inteligence Machine Learning 215

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. Image Credits: Zartico.

Tourism 240

Tourism Travel Technical Review Big Data 240

TechCrunch

APRIL 29, 2022

In addition, the company launched a SaaS merchandising product that uses machine learning to make sure products are in-stock and shelved correctly. The rise of social media is also making in-store retail advertising easier because more people are used to absorbing a lot of content. Image Credits: Clerk.

Retail 221

Retail Advertising Artificial Inteligence Machine Learning 221

Hacker Earth Developers Blog

AUGUST 2, 2022

In some cases, Data-driven recruiting and HR analytics use tangible company analysis and skills insights to solve recurring recruitment challenges and create high-quality talent pipelines. Resume parser: The resume parser scans candidate resumes and social media profiles to analyze their experience and education.

Software Engineering 246

Software Engineering Engineering Artificial Inteligence Software 246

TechCrunch

JUNE 10, 2022

In my role advising growth-stage enterprise tech companies as part of B Capital Group’s platform team, I observe similar dynamics across nearly every AI, ML and advanced predictive analytics companies I speak with. Healthy pipeline generation is the bugbear of this industry, yet there is very little content on how to address it.

Marketing 221

Marketing Enterprise Artificial Inteligence Machine Learning 221

O'Reilly Media - Data

SEPTEMBER 30, 2019

Pete Warden has an ambitious goal: he wants to build machine learning (ML) applications that can run on a microcontroller for a year using only a hearing aid battery for power. Turning off the radio inverts our models for machine learning on small devices. And it draws 1.6 And why do we want to build them?

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Artificial Inteligence Applications Machine Learning Conference 257