TechCrunch

NOVEMBER 25, 2021

Alsayed Gamal , who is Camlist chief technical officer, has 15 years software engineering experience. He has knowledge and experience in mobile platforms, data engineering, DevOps, API design, microservices and serverless architecture. where items were often misrepresented and scams high.

Video 242

Video Serverless Microservices Insurance 242

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 79

Data Insurance Metrics eBook 79

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 79

Conference Artificial Inteligence UI/UX Artificial Intelligence 79

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

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 83

Training Course Exercises IoT 83

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 246

Healthcare Real Estate Machine Learning Artificial Inteligence 246

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

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

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 Generative AI Artificial Intelligence Pharmaceuticals 72

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

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

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

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 Big Data Machine Learning Artificial Inteligence 117

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

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 Artificial Intelligence 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

Lacework

NOVEMBER 1, 2023

EU, UK, and Switzerland), and in regulated markets including healthcare information (protected under the Health Insurance Portability and Accountability Act [HIPAA] in the US) or financial information (protected under Gramm-Leach-Bliley Act [GLBA] in the US). What regulations require privacy by design?

System Design 52

System Design Systems Review System Data 52

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 85

Insurance Compliance Technical Review Banking 85

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

TIBCO - Connected Intelligence

SEPTEMBER 15, 2020

Metadata management clearly identifies data that is covered by regulatory and legal obligations so you can act quickly and appropriately. Such obligations include the GDPR, BCBS 239, and the Health Insurance Portability and Accountability Act (HIPAA). Higher return on data assets via reuse of data and ease of sharing.

How To 26

How To Compliance Government Insurance 26

Altexsoft

JUNE 11, 2021

For financial institutions, such as banks, insurance companies, or loan associations, the biggest operational priorities are security, accuracy, and speed of transactions. After we mined the customer journey, Veco has been consistently growing new business at an accelerated speed.”. Process mining and finance.

Applications 69

Applications Weak Development Team Systems Review Software Review 69

Existek

SEPTEMBER 28, 2023

Monitoring and maintenance: After deployment, AI software developers monitor the performance of the AI system, address arising issues, and update the model as needed to adapt to changing data distributions or business requirements. Compensation for full-time employment, contract work, or consulting is calculated on different basis and terms.

Artificial Inteligence 52

Artificial Inteligence Development How To Artificial Intelligence 52

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 279

Technical Advisors Training Recruiting Programming 279

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 Artificial Intelligence Artificial Inteligence 130

Altexsoft

MARCH 16, 2021

Other external and internal sources may include anything capable of generating data that can complement further analysis, i.e., social media, search engine data, hospital’s operational information, insurance claims, clinical records, demographic data, environmental data, and so on. But what happens next?

Big Data 116

Big Data Healthcare Applications Data 116

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

Cloudera

APRIL 21, 2022

With Cloudera, the platform takes in data with various formats from multiple sources — electronic medical records (EMRs), Health Level 7 International (HL7) feeds, Health Information Exchange (HIE) information, insurance claims data, and extractions from proprietary or client-owned systems.

Security 85

Security Data Insurance System 85

Altexsoft

JUNE 6, 2019

Critics emphasize that cashless operations discriminate customers without bank accounts and may undermine privacy and data security. The Federal Deposit Insurance Corporation in their 2017 survey estimated that 6.5 However, the cashierless store concept has been under pressure in the US due to a backlash against cashless systems.

Artificial Inteligence 89

Artificial Inteligence Artificial Intelligence Retail Innovation 89

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

FEBRUARY 22, 2022

Some systems offer additional functions such as fuel tracking, trip logs, documentation management (for example, insurance and registration cards), etc. Also, having a connected driver app is essential to support communication and have access to unified data in a single system.

Software Review 52

Software Review Technical Review Software Technology 52

Altexsoft

NOVEMBER 9, 2021

Indirect spend is any expenses that are needed to operate the business, such as office supplies, utilities, transportation, insurance, marketing, business travel, warehousing costs, wages, and so on. Meanwhile, we’ll describe the process of turning raw data around you into actionable insights. Extract data. Consolidate data.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Altexsoft

JUNE 26, 2023

Both data integration and ingestion require building data pipelines — series of automated operations to move data from one system to another. For this task, you need a dedicated specialist — a data engineer or ETL developer. Data engineering explained in 14 minutes.

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

Altexsoft

NOVEMBER 27, 2020

Preparing the appropriate paperwork, insurance management, and ensuring the government compliance of goods and transportation. At this stage, you should already know how you want this data to be used so it can be prepared for future processing. Data warehouse. Data representation. Documentation and regulations management.

Software 69

Software Transportation Analytics System 69

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 140

Microservices Weak Development Team Survey Architecture 140

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

O'Reilly Media - Ideas

MARCH 1, 2023

Issues like security hygiene increasingly fall under “governance,” as companies try to comply with the requirements of insurers and regulators, in addition to making their operations more secure. Data Data is another very broad category, encompassing everything from traditional business analytics to artificial intelligence.

Trends 134

Trends Technical Review Technology Software Review 134