Netflix Tech

JUNE 1, 2021

Data Engineers of Netflix?—?Interview Interview with Samuel Setegne Samuel Setegne This post is part of our “Data Engineers of Netflix” interview series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. What drew you to Netflix?

Data Engineering 52

Data Engineering Engineering Data Culture 52

AWS Machine Learning - AI

MARCH 13, 2025

The opportunity for open-ended conversation analysis at enterprise scale MaestroQA serves a diverse clientele across various industries, including ecommerce, marketplaces, healthcare, talent acquisition, insurance, and fintech. She is passionate about learning languages and is fluent in English, French, and Tagalog.

Generative AI 105

Generative AI CTO Coach AWS Artificial Inteligence 105

CIO

SEPTEMBER 29, 2022

New York-based insurance provider Travelers, with 30,000 employees and 2021 revenues of about $35 billion, is in the business of risk. s SVP and chief data & analytics officer, has a crowâ??s s nest perspective of immediate and long-term tasks to equally strengthen the company culture and customer needs.

Artificial Inteligence 201

Artificial Inteligence Machine Learning Travel Technical Review 201

CIO

MAY 21, 2024

In the past, to get at the data, engineers had to plug a USB stick into the car after a race, download the data, and upload it to Dropbox where the core engineering team could then access and analyze it. If I don’t do predictive maintenance, if I have to do corrective maintenance at events, a lot of money is wasted.”

Data 190

Data Azure Engineering Analytics 190

CIO

JUNE 7, 2022

It can be used to reveal structures in data — insurance firms might use cluster analysis to investigate why certain locations are associated with particular insurance claims, for instance. Data analytics and data science are closely related.

Analytics 203

Analytics Data Analysis Business Analytics 203

CIO

FEBRUARY 13, 2023

Cold: On-prem infrastructure As they did in 2022, many IT leaders are reducing investments in data centers and on-prem technologies. “We We are working to transform ourselves into a data company mindset, finding newer ways to leverage data to support business growth.”

Budget 218

Budget Artificial Inteligence Technical Review VR 218

CIO

AUGUST 14, 2024

My team is a mix of different skillsets from data engineers, analysts, project managers, developers, and third parties,” she says. “So So the team’s responsibilities are in a number of different areas. That was a real first taste for me of digital and technology.

Technical Review 172

Technical Review Healthcare Real Estate Systems Review 172

Cloudera

FEBRUARY 15, 2024

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk. Well, sort of.

Insurance 88

Insurance Compliance Technical Review Banking 88

Coforge

AUGUST 31, 2020

* field--node--title--blog-post.html.twig x field--node--title.html.twig * field--node--blog-post.html.twig * field--title.html.twig * field--string.html.twig * field.html.twig --> The Coforge Viewpoint: How Intelligent Digital Technologies will reshape Insurance Operations. Key Areas of Digital Growth for Insurance Companies.

Insurance 40

Insurance Technology Artificial Inteligence Policies 40

CTOvision

JUNE 15, 2015

They also launched a plan to train over a million data scientists and data engineers on Spark. As data and analytics are embedded into the fabric of business and society –from popular apps to the Internet of Things (IoT) –Spark brings essential advances to large-scale data processing.

Open Source 117

Open Source Machine Learning Artificial Inteligence Big Data 117

Confluent

JULY 11, 2019

Reading, writing, and transforming data in Apache Kafka ® using KSQL is an effective way to rapidly deliver event streaming applications for clients (e.g., streaming insurance events ). Simon Aubury is a data geek on all things from databases to event streaming, architecture, IoT, and cloud.

Training 85

Training Course Exercises IoT 85

Cloudera

NOVEMBER 16, 2022

Tracks represented financial services, insurance, retail and consumer packaged goods, and healthcare. Overall, it struck me that while data science is not new, most firms are still defining the mission of the data office and data officer. As an example, specialty insurance underwriting was highlighted.

Data 81

Data Insurance Metrics eBook 81

CIO

APRIL 24, 2023

That’s exactly what The Hartford is doing, having made a conscious choice three years ago to invest in development programs to enrich its own people as well as to position the insurance company as a destination employer to appeal to potential candidates drawn to modern IT environments, according to Deepa Soni, The Hartford’s CIO.

Technical Advisors 167

Technical Advisors Training Recruiting Programming 167

Let's Grow Leaders

JUNE 26, 2021

Tammy Cravit is a data engineer, friend, and advocate for LGBTQ inclusion. One example: after 17 years of waiting, I finally had gender confirmation surgery last year – and, again, thanks to my willingness to engage in authentic dialogue, my company covered the cost on their health insurance.).

Authentication 119

Authentication Technical Review Leadership Exercises 119

Altexsoft

JULY 23, 2020

It facilitates collaboration between a data science team and IT professionals, and thus combines skills, techniques, and tools used in data engineering, machine learning, and DevOps — a predecessor of MLOps in the world of software development. MLOps lies at the confluence of ML, data engineering, and DevOps.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

Xebia

MARCH 10, 2021

Because of the different character of the lab and factory setting, the request from a Data Scientist to the Data Engineer to productionise an advanced analytics model can be quite a labor intensive activity with many iterations and handovers.

DevOps 130

DevOps Data Analytics Policies 130

Apiumhub

SEPTEMBER 5, 2023

Is a great place for deep learning engineers, machine learning researchers, data scientists, intelligence developers, and all kinds of engineers to learn about the latest technologies related to AI and ML. Crunch Crunch is an international conference all about the data world as part of the Compass Tech Summit. Click here.

Conference 78

Conference Artificial Inteligence UI/UX Artificial Intelligence 78

DataRobot

SEPTEMBER 22, 2022

Leading French organizations are recognizing the power of AI to accelerate the impact of data science. Since 2016, DataRobot has aligned with customers in finance, retail, healthcare, insurance and more industries in France with great success, with the first customers being leaders in the insurance space. .

Big Data 52

Big Data Data Insurance Machine Learning 52

Altexsoft

DECEMBER 9, 2020

Sometimes, a data or business analyst is employed to interpret available data, or a part-time data engineer is involved to manage the data architecture and customize the purchased software. At this stage, data is siloed, not accessible for most employees, and decisions are mostly not data-driven.

Analytics 102

Analytics Technical Review Technology Applications 102

Hacker Earth Developers Blog

NOVEMBER 29, 2022

AI Recruitment software like Hiretual acts as a candidate data engine for your tech recruiting requirements—it centralizes all your talent management and helps you source across 750M+ profiles and actively rediscovers lost profiles. Candidate onboarding.

Technical Review 130

Technical Review Software Review Recruiting Artificial Inteligence 130

CIO

MARCH 13, 2023

Perceptions are shifting Lately, there is more receptivity to hearing about opportunities in other sectors for positions in information security, data, engineering, and cloud, observes Craig Stephenson,managing director for the North America technology, digital, data and security officers practice at Korn Ferry.

Healthcare 148

Healthcare Real Estate Machine Learning Artificial Inteligence 148

The Accidental Successful CIO

JANUARY 25, 2023

CIOs Need To Prepare For The Arrival Of AI CIOs can remember not all that long ago that AI was the exclusive domain of data scientists. However, now, industries as diverse as retailing, manufacturing, finance and insurance are taking advantage of new products that make it much easier for businesses to create AI tools specific to their needs.

Artificial Inteligence 98

Artificial Inteligence Artificial Intelligence Machine Learning Training 98

Mentormate

OCTOBER 31, 2023

In our example, obvious stakeholders include healthcare providers, patients, and insurers. In our healthcare example, a multidisciplinary team might be necessary, encompassing data scientists and medical professionals for domain expertise and bioinformaticians for data engineering.

Artificial Inteligence 98

Artificial Inteligence Healthcare Budget Training 98

Cloudera

JANUARY 19, 2018

Simplifying Big Data in the Cloud. At the May introduction of Cloudera Altus — our platform-as-a-service offering that focuses on data engineering workloads that run in the cloud, Jennifer Wu wrote on how Cloudera got to this exciting offering. The Power of Machine Learning in Insurance. This blog has everything!

Artificial Inteligence 45

Artificial Inteligence Machine Learning Big Data IoT 45

AWS Machine Learning - AI

SEPTEMBER 3, 2024

Raj provided technical expertise and leadership in building data engineering, big data analytics, business intelligence, and data science solutions for over 18 years prior to joining AWS.

Serverless 108

Serverless AWS Artificial Inteligence Big Data 108

TIBCO - Connected Intelligence

SEPTEMBER 7, 2021

Today, it has grown into a top-class financial player in the automotive market, specializing in finance, leasing, insurance, and mobility. This growth has skyrocketed the company from a simple bank in the Netherlands to a global insurance leader.

Virtualization 32

Virtualization Data Insurance Software Review 32

DataRobot

OCTOBER 3, 2017

Enterprise data architects, data engineers, and business leaders from around the globe gathered in New York last week for the 3-day Strata Data Conference , which featured new technologies, innovations, and many collaborative ideas. He is accelerating productivity of information consumers by retooling the organization.

Trends 52

Trends Azure Conference Media 52

Openxcell

JANUARY 3, 2025

The company offers a wide range of AI Development services, such as Generative AI services, Custom LLM development , AI App Development , Data Engineering , GPT Integration , and more. Apart from AI, they also offer game development, data engineering, chatbot development, software development, etc.

Artificial Inteligence 40

Artificial Inteligence Company Development Artificial Intelligence 40

Perficient

JANUARY 4, 2024

With a team of more than 300 AI professionals, including data scientists, data engineers, AI architects, and AI developers, Perficient has extensive knowledge and skills in various AI domains.  Contact us  now to discover how our expertise can take your business to new heights.

Artificial Inteligence 72

Artificial Inteligence Artificial Intelligence Generative AI Pharmaceuticals 72

Cloudera

AUGUST 31, 2021

It outperforms other data warehouses on all sizes and types of data, including structured and unstructured, while scaling cost-effectively past petabytes. Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics. Business Problem & Background.

Data 82

Data Analytics Cloud Technical Review 82

Altexsoft

OCTOBER 23, 2019

The conference will address all things fleet management : electrification, fleet security and insurance, connected drivers, autonomous fleets, and telematics data. CAPRE’s Annual Greater Atlanta Data Center and Cloud Infrastructure Summit 2020.

Security 13

Security Artificial Inteligence Conference Data Center 13

Altexsoft

NOVEMBER 5, 2021

The use of free text to capture diagnoses, procedures, drug data , and other important details can lead to varying interpretations, which disrupt efficient treatment and proper insurance reimbursement. HL7 (Health Level Seven) v2 and v2 messages that can be shared via a specific HL7 interface engine. Medical codes.

Technical Review 59

Technical Review Technology Software Review Healthcare 59

Altexsoft

JULY 19, 2022

As the picture above clearly shows, organizations have data producers and operational data on the left side and data consumers and analytical data on the right side. Data producers lack ownership over the information they generate which means they are not in charge of its quality. It works like this.

Architecture 52

Architecture Data Analytics Data Engineering 52

Apiumhub

AUGUST 12, 2021

Developer Advocate with 15+ years experience consulting for many different customers, in a wide range of contexts (such as telecoms, banking, insurances, large retail and public sector). Also, he serves as the Program Director for Data science/Data Engineering Educational Program at Skillbox. Twitter: ??

Industry 59

Industry Technical Advisors CTO Coach Azure 59

O'Reilly Media - Ideas

JULY 15, 2020

Technical roles represented in the “Other” category include IT managers, data engineers, DevOps practitioners, data scientists, systems engineers, and systems administrators. That said, the audience for this survey—like those of almost all Radar surveys—is disproportionately technical. Figure 1: Respondent roles.

Microservices 145

Microservices Weak Development Team Survey Architecture 145

Mobilunity

DECEMBER 21, 2022

Data science in agriculture can help businesses develop data pipelines specifically for automation and fast scalability. In the insurance industry, data scientists mine and analyze data for use in customer segmentation, risk modeling, lifetime value prediction, etc.

Data 52

Data How To Machine Learning Artificial Inteligence 52

Capgemini

NOVEMBER 14, 2022

For self-service BI to succeed, however, the entire data value chain may need to be fixed. Data has to be easy to find, understand, access, and use for everyone in the chain: data engineers, analysts, data scientists, and business users. It needed to teach people to fish in the data lake.

Agile 52

Agile Technical Review Systems Review Culture 52