Coforge

AUGUST 27, 2020

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Artificial Inteligence Machine Learning Insurance Artificial Intelligence 52

Altexsoft

JULY 23, 2020

When speaking of machine learning, we typically discuss data preparation or model building. Much less often the technology is mentioned in terms of deployment. More time for development of new models. MLOps brings automation to model training and retraining processes. Better user experience. MLOps vs DevOps.

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CIO

MARCH 26, 2024

Enterprise CIOs have always been at a disadvantage competing with tech firms for skilled IT pros, but accelerated transformation efforts and an AI gold rush have significantly intensified the talent war, prompting CIOs to increasingly turn to outside firms for help. Last June, for example, Dun & Bradstreet launched D&B.AI

Technical Review 295

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O'Reilly Media - Data

JUNE 5, 2018

Why model development does not equal software development. Artificial intelligence is still in its infancy. Today, just 15% of enterprises are using machine learning, but double that number already have it on their roadmaps for the upcoming year. Models degrade in accuracy as soon as they are put in production.

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Artificial Inteligence Machine Learning Software Review Weak Development Team 160

CIO

OCTOBER 18, 2023

Dutch insurance and asset management company Nationale-Nederlanden, part of the NN Group, has a presence in 19 countries and serves several million retail and corporate customers. Digitization vs tradition Although the insurance sector has a traditional image, that stopped being the case years ago, says Vaquero.

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Company Artificial Inteligence Insurance Technical Review 281

N2Growth Blog

DECEMBER 26, 2023

Understanding the Evolving Role of Insurance Executives in Today’s Risk Landscape The role of insurance executives has significantly changed today’s risk landscape. Insurance executives must possess diverse skills and qualities to excel in this dynamic environment.

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CIO

FEBRUARY 13, 2023

The economy may be looking uncertain, but technology continues to drive the business and CIOs are investing big in 2023. At the same time, they are defunding technologies that no longer contribute to business strategy or growth. The company is embedding AI into each level of the tech stack it sells to customers, he says. “We

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TechCrunch

MAY 12, 2021

Planck , the AI-based data platform for commercial insurance underwriting, announced today it has raised a $20 million growth round. Planck said it currently works with “dozens of commercial insurance companies in the U.S.,” including more than half of the top-30 insurers. It will use its new funding to build its U.S.

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UruIT

MAY 7, 2021

Some time ago, a team of Innovation and Machine Learning experts started working in Cogniflow: a no-code Machine Learning platform that makes it easier than ever to build solutions that involve Artificial Intelligence. WOLI: Written Offensive Language Identification. AAA: Android Application Analyzer.

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Altexsoft

NOVEMBER 17, 2021

As today’s digital storages can serve large amounts of items, it becomes difficult to categorize them manually. So businesses employ machine learning (ML) and Artificial Intelligence (AI) technologies for classification tasks. An example of document structure in healthcare insurance.

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CIO

NOVEMBER 22, 2023

As a connected car data company focusing on the motor insurance sector, UK-based ThingCo is dedicated to developing next gen telematics built with the latest technology. And it’s that combination of disciplines that’s enabled him to continuously build knowledge, especially as tech creation is gaining momentum. We’re not experts.

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Altexsoft

FEBRUARY 1, 2019

According to McKinsey , machine learning and artificial intelligence in pharma and medicine are going to revolutionize the industries to help them make better decisions, optimize innovations, improve the efficiency of clinical and research trials, and provide for new tools for physicians, consumers, regulators, and even insurers.

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Artificial Inteligence Machine Learning Pharmaceuticals Artificial Intelligence 68

Tenable

OCTOBER 27, 2023

Check out how organizations’ enthusiasm over generative AI is fueling artificial intelligence adoption for cybersecurity. In addition, learn about a new set of best practices for protecting cloud backups. Plus, how CISA plans to revamp the U.S. government’s cyber incident response plan. Specifically, Corvus observed a 95.4%

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Artificial Inteligence Artificial Intelligence Technical Review Backup 64

AWS Machine Learning - AI

FEBRUARY 29, 2024

Knowledge Bases is completely serverless, so you don’t need to manage any infrastructure, and when using Knowledge Bases, you’re only charged for the models, vector databases and storage you use. RAG is a popular technique that combines the use of private data with large language models (LLMs). Choose Next.

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Knowledge Base Artificial Inteligence Generative AI AWS 110

Altexsoft

OCTOBER 18, 2022

Everyday the global healthcare system generates tons of medical data that — at least, theoretically — could be used for machine learning purposes. It contains confidential information which is protected by the Health Insurance Portability and Accountability (HIPAA) act and cannot be used without special consent. Let’s sum up.

Machine Learning 52

Machine Learning Artificial Inteligence Healthcare Software Review 52

TechCrunch

OCTOBER 24, 2021

Justos , a startup that says it will be the first insurance company in Brazil to use data when determining rates, has raised a $35.8 The process to get insurance in the country, by any accounts, is a slow one. It takes up to 72 hours to receive initial coverage and two weeks to receive the final insurance policy.

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Insurance Artificial Inteligence Technical Review Artificial Intelligence 208

Altexsoft

FEBRUARY 5, 2019

This is a guest article by Pace Hadder, a tech writer. The rapid development of artificial intelligence (AI) is forcing the world’s governments to try and keep up with the inherent changes. This is just one of the many game-changing capabilities of machine learning when it’s applied to business.

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Altexsoft

OCTOBER 22, 2021

Well, the technology behind such “magic” is called deep learning. In this post, we’ll explain what deep learning is, how it works, how it’s different from traditional machine learning, and what areas it can be applied within. Get ready because you’re about to go deep into deep learning.

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Palo Alto Networks

FEBRUARY 28, 2024

Read the report to learn how to safeguard your organization's assets and operations: Threat actors, their methods and their targets. How artificial intelligence affects cybersecurity now and in the future. The best strategy enhances threat detection and response efficiency with machine learning (ML) and analytics.

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Artificial Inteligence Report Trends Artificial Intelligence 85

Trigent

MARCH 29, 2023

The insurance sector has been one of the early adopters of advanced technologies such as artificial intelligence (AI), robotic process automation (RPA), and machine learning (ML) which played a pivotal role in managing complex tasks during the pandemic. The answer lies in hyperautomation!

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Insurance Artificial Inteligence Technical Review Systems Review 52

OTS Solutions

NOVEMBER 14, 2023

Introduction to the Digital Transformation for Dental Practices Dental practices are transforming as digital technology is reshaping oral healthcare. In this article, we explore how digital technology is helping to advance dental care, improve efficiency, and empower dental professionals and patients alike.

Technical Review 130

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CIO

FEBRUARY 23, 2024

The completion of such transformative EV and hydrogen fuel cell engineering — amid uncertainty about which technology will prevail as the industry standard — reflects the one constant American Honda’s VP of IT Bob Brizendine has confronted throughout his 36 years with the company: an ever-changing, winding road that never slows down. “We

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TechCrunch

NOVEMBER 19, 2021

Today, an insurance startup called Kettle that believes it has built a better product — specifically, reinsurance underwriting product to insure insurers — to account for catastrophic events like these, by way of better data science, is announcing some funding on the heels of (sadly) more need for its services.

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TechCrunch

MARCH 15, 2021

” But the company also argues that today’s bots focus on basic task automation that doesn’t offer the kind of deeper insights that sophisticated machine learning models can bring to the table. We think that’s because right now the current ‘AI approach’ lacks a holistic business context relevance.

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Artificial Inteligence Insurance Machine Learning Systems Review 240

Tenable

JANUARY 5, 2024

1 - NIST categorizes cyberattacks against AI systems Are you involved with securing the artificial intelligence (AI) tools and systems your organization uses? National Institute of Standards and Technology (NIST) “ Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations (NIST.AI.100-2).”

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CIO

JUNE 7, 2022

The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Predictive analytics applies techniques such as statistical modeling, forecasting, and machine learning to the output of descriptive and diagnostic analytics to make predictions about future outcomes.

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Analytics Data Analysis Business Analytics 319

iTexico

OCTOBER 11, 2019

10 Trends of Artificial Intelligence (AI) in 2020. Artificial Intelligence (AI) has been predictable for decades, probably because the technology was associated with robots. Unfortunately, this technology is one of the most complex to monitor, regulate, and control. AI Will Disrupt Traditional Industries.

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Cloudera

FEBRUARY 18, 2021

We’ve written about the changes forced on the traditionally risk-averse insurance industry by COVID-19. In 2021, with the crisis hopefully fading, insurance will have time to evaluate the changes made in 2020, assessing what worked and what didn’t, and planning a new way forward rather than reacting in real time. .

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TechCrunch

JUNE 3, 2021

They’ll also get access to Google’s entrepreneurial network, tech support and some other assets that don’t have hard numbers associated with them. Augmize – Augmize builds risk models for property and casualty insurers using interpretable machine learning. I’ll update if I hear back.).

Technical Review 269

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TechCrunch

MARCH 24, 2021

Also, does it really leverage tech in a way that is differentiated? ” That pre-COVID transformation that Pichette is referring to is Hopper’s shift from being essentially a machine learning-powered lowest fare finder to what co-founder and CEO Fred Lalonde says is really much more of a fintech company.

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LaunchDarkly

MAY 28, 2020

Oren explained the differences between AI and automation, problems with existing test automation solutions, how AI/machine learning can be used to address software testing problems, and more. I mean the way that AI is doing it [inaudible 00:49:09], but I suppose this really comes in when you’re talking about like TDD.

Machine Learning 59

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Altexsoft

SEPTEMBER 7, 2021

Insurance companies find it difficult to attract new customers and retain them, especially when almost every insurer offers the same service or product. It’s also challenging since insurance is a low-touch industry, and insurers seldomly interact with their customers. The customer loyalty problem in insurance.

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Insurance Technical Review Strategy Technology 59

TechCrunch

NOVEMBER 9, 2020

A number of healthcare disparities exist for Black people in America, but they can oftentimes go unaddressed due to the lack of education and understanding among medical professionals. For those without insurance, they pay a one-time $99 fee on their first visit. Image Credits: Spora Health. Spora Health costs $9.99

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Technical Review Network Healthcare Systems Review 257

TechCrunch

OCTOBER 29, 2020

Alaffia automates the process of auditing health insurance claims. The company’s machine learning dashboard is able to detect improper payments more quickly, conduct clinical claim reviews and generate reports, speeding up and cleaning up a process that’s been mostly manual and inefficient.

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O'Reilly Media - Ideas

JANUARY 19, 2021

Variants of artificial intelligence (AI), such as predictive modeling, statistical learning, and machine learning (ML), can create new value for organizations. Moreover, like many powerful commercial technologies, AI is likely to be highly regulated in the future. FTC Commissioner Rebecca K.

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Coforge

JANUARY 14, 2021

Embracing Machine Vision in Insurance to Remain Competitive. When it comes to the possibilities of AI & ML in the insurance space, machine vision is an expected choice for the insurance carriers as they look for a plethora of information in order to assess the risk and make decisions accordingly.

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Insurance Artificial Inteligence Machine Learning Technical Review 52

Altexsoft

JANUARY 11, 2019

So, let’s analyze the data science and artificial intelligence accomplishments and events of the past year. Machine learning and data science advisor Oleksandr Khryplyvenko notes that 2018 wasn’t as full of memorable breakthroughs for the industry, unlike previous years. But it’s a great time for a retrospective.

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