Newgen Software

MAY 21, 2024

Despite providing financial protection and peace of mind, the insurance sector has long been criticized for its slow processing times, susceptibility to human error, and overall inefficiency. Intelligent Process Automation (IPA) helps insurers meet these expectations and address the sector’s long-standing challenges.

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TechCrunch

SEPTEMBER 1, 2021

How many of us have not switched insurance carriers because we don’t want to deal with the hassle of comparison shopping? Insurify has built a machine learning-based virtual insurance agent that integrates with more than 100 carriers to digitize — and personalize — the insurance shopping experience.

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The Accidental Successful CIO

JANUARY 25, 2023

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. What All Of This Means For You CIOs have seen artificial intelligence (AI) coming for some time now.

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TechCrunch

SEPTEMBER 16, 2022

Will Ross and William Steenbergen were AI researchers at Stanford working on climate and atmospheric modeling and reinforcement learning, respectively, when they began to collaborate on wildfire modeling and hurricane modeling initiatives for the insurance industry. He pointed to Russia sponsoring cyberattacks on U.S.

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Coforge

AUGUST 27, 2020

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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

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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TechCrunch

AUGUST 10, 2021

He also said the company “ continues to meet and exceed growth and revenue targets” with its first product, a service for comparing and buying car insurance. AI-powered Jerry raises $28M to help you save money on car insurance. Although Jerry also offers a similar product for home insurance, its focus is on car ownership.

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Apiumhub

OCTOBER 8, 2020

Accentuare has recently published a report, and more than 80 percent of insurers believe that innovation has to be present for businesses that want to remain relevant. Here are some technology-related investment suggestions that you can target and take your insurance business to another level. Trend #3 – Machine Learning.

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CIO

NOVEMBER 16, 2023

As part of your enterprise AI pillar, you use the phrase ‘information advantage’ to signify a strategy of leveraging data, advanced analytics, and machine learning to unlock value for your business and customers. As we look at the future of insurance, new risks are emerging. Can you expand on that?

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TechCrunch

MAY 28, 2021

the concept of using a driver’s data to decide the cost of auto insurance premiums is not a new one. A new startup called Justos claims it will be the first Brazilian insurer to use drivers’ data to reward those who drive safely by offering “fairer” prices. The process to get insurance in the country, by any accounts, is a slow one.

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Perficient

SEPTEMBER 19, 2023

The world’s largest gathering of insurance innovation, InsureTech Connect (ITC) , is right around the corner. And our team of industry experts is excited to connect, collaborate, and address the most pressing business needs of national and regional carriers. What Matters Most to Insurers in 2023?

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TechCrunch

JUNE 16, 2021

As the insurance industry adjusts to life in the 21st century (heh), an AI startup that has built computer vision tools to enable remote damage appraisals is announcing a significant round of growth funding. You’re dealing with so many touch points with your insurance, so many people that need to come and check things out again.

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CIO

AUGUST 19, 2022

The traditional in-person process of insurance agents meeting with prospective customers to discuss policies, sign paperwork, and load it into the company’s client/server system came to a complete halt. Because we are an insurance company, what we are is a promise on a piece of paper,” says then-CIO Richard Gilbert. “We

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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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The Accidental Successful CIO

SEPTEMBER 21, 2022

It turns out that it’s hard to find the right people to do machine learning Image Credit: deepak pal. The good news is that there is new technology that is available to allow this to be done: machine learning. The bad news is that this machine learning stuff requires smart people to implement it.

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The Accidental Successful CIO

SEPTEMBER 22, 2021

The person with the CIO job understands that the future belongs to artificial intelligence (AI). However, at banks, insurers and other financial companies their use of artificial intelligence is being especially hampered by a scarcity of data and talent. Learn what you need to know to do the job.

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Altexsoft

JULY 23, 2020

When speaking of machine learning, we typically discuss data preparation or model building. The fusion of terms “machine learning” and “operations”, MLOps is a set of methods to automate the lifecycle of machine learning algorithms in production — from initial model training to deployment to retraining against new data.

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O'Reilly Media - Data

JUNE 5, 2018

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. So what should an organization keep in mind before implementing a machine learning solution?

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UruIT

OCTOBER 15, 2018

Intimidated by Artificial Intelligence? We’ll break it down in this Introduction to Machine Learning Guide. From enhancing user experiences to achieving greater operational excellence, the use of artificial intelligence is ubiquitous. Looking for some help with your next machine learning/AI project?

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TechCrunch

JANUARY 25, 2021

Pula , a Kenyan insurtech startup that specialises in digital and agricultural insurance to derisk millions of smallholder farmers across Africa, has closed a Series A investment of $6 million. Agriculture insurance has traditionally relied on farm business. or Europe with typically large farms, an average insurance premium is $1,000.

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OTS Solutions

JULY 28, 2022

The financial services industry has changed a lot in the last few years due to innovations in mobile and digital apps and modern technology has made it easier for individuals to invest and borrow money. The future of the financial services industry is now digital, mobile, and data-driven. There will be more change.

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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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Altexsoft

OCTOBER 22, 2021

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. What is deep learning? Artificial intelligence vs machine learning vs deep learning.

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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. Now, every enterprise, irrespective of their size or industry type, wants in on this promising technology. AI-Driven Media and Entertainment.

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TechCrunch

FEBRUARY 28, 2022

While many lament government regulation as an infringement on innovation, I believe increased scrutiny is a net positive for the future of the software industry. Products and apps are increasingly driven by artificial intelligence and machine learning, especially those in sensitive areas that impact people’s lives and well-being.

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Trigent

MARCH 29, 2023

The need for digital transformation has fuelled the demand for hyperautomation across industries , including banking and finance. New entrants dramatically impact the insurance landscape with diverse digital-first approaches , faster business model innovation , and agility. The answer lies in hyperautomation!

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TechCrunch

JUNE 14, 2021

million in seed funding, led by DisruptiveAI, Phoenix Insurance, AXA-backed venture builder Kamet , Moneta Seeds and private investors. The round will help the company bolster the predictive AI and machine learning algorithms that power nSure AI’s “first of its kind” fraud protection platform.

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Hacker Earth

MARCH 29, 2018

Like every other industry, the global insurance sector, worth over $5 trillion, has undergone an immense overhaul because of disruptive technologies in recent years. According to PwC’s 2017 Global InsurTech Report, the challenges the insurance industry faces in their ability to innovate are. Artificial Intelligence.

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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 21, 2022

Glia made a name for itself originally providing CRM tools to the finance industry, and that is where it still counts the majority of its customers. To date, it said it has handled over 10 billion interactions, making for a healthy trove of data that gets used to train and develop its machine learning algorithms.

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CIO

FEBRUARY 13, 2023

CIOs anticipate an increased focus on cybersecurity (70%), data analysis (55%), data privacy (55%), AI/machine learning (55%), and customer experience (53%). And there’s a labor shortage in those industries so [the focus is on] more automation and more AI.” It’s all about uptime and input.

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OTS Solutions

JULY 28, 2022

The financial services industry has traditionally been a slow adopter of modern technology. But with the rise of FinTech, consumer expectations, and government pressures being felt throughout the industry, the pressure is on. Various kinds of companies, from banks and insurance companies, have been around for 100 years.

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Altexsoft

NOVEMBER 17, 2021

So businesses employ machine learning (ML) and Artificial Intelligence (AI) technologies for classification tasks. Namely, we’ll look at how rule-based systems and machine learning models work in this context. For instance, the healthcare industry still deals with paper documents. Source: affine.ai.

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Apiumhub

SEPTEMBER 5, 2023

Compass Tech Summit: 5-in-1 Conferences Reinforce Reinforce is an international Artificial intelligence and Machine Learning hybrid conference as part of the Compass Tech Summit. Amuse Conference features industry-leading experts who are coming from companies like Netflix, Shopify, Google, LinkedIn, and Meta.

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Tenable

JANUARY 26, 2024

Cyber agencies from multiple countries published a joint guide on using artificial intelligence safely. 1 - Using AI securely: Global cyber agencies publish new guide Is your organization – like many others – aggressively adopting artificial intelligence to boost operational efficiency? And much more!

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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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