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

MAY 9, 2022

Pervasive BI remains elusive, but statistics on the category reveal that about a third of employees use BI tools for analytics to inform strategy. The big data and business analytics market could be worth $684 billion by 2030, according to Valuates Reports, if such outrageously high estimates are to be believed.

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Analytics Business Intelligence Software Review Business Analytics 215

TechCrunch

MAY 17, 2023

The funding was led by Tokio Marine, Japan’s first insurance company, and life insurance leader MetLife through its subsidiary MetLife Next Gen Ventures. Embedded means insurance or protection products that are embedded into the customer experience as they buy a product or sign up for a service.

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CIO

NOVEMBER 16, 2023

In a career spanning such companies as IBM, KeyCorp, M&T Bank, and BMO, she has “answered the call” many times, most recently as CIO of The Hartford, where she is responsible for the overall strategy, vision, and execution of business technology, cyber, data analytics, and data science. Can you expand on that?

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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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Perficient

FEBRUARY 28, 2024

With new risks, shifting market dynamics, and the unstoppable march of technology, the insurance industry finds itself at a crossroads. The imperative for transformation has never been clearer, and this is highlighted in Forrester’s report, The Future Of Insurance.

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Coforge

AUGUST 27, 2020

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Perficient

FEBRUARY 27, 2024

This blog was co-authored by Perficient’s Insurance Principal and expert: Brian Bell As we step into 2024, the insurance industry faces significant transformations driven by technological advancements and evolving customer expectations. Harnessing data insights for informed decision-making and actionable analytics.

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TechCrunch

MARCH 7, 2023

All said, Assured Allies joins with insurtech companies around the world that did manage to secure some decent funding recently, including Equisoft , Naked Insurance , Turaco and Acko. It has been proven to reduce the cost of long-term insurance claims by roughly 20%, Nahir told TechCrunch. Akilia Partners and Samsung Next.

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Artificial Inteligence Insurance Artificial Intelligence Machine Learning 237

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 21, 2024

The LLM can say, ‘My answer came from these triples or this subgraph.'” These employees are often tasked with answering a wide array of customer queries, ranging from procedural questions like changing coverage on an existing policy to more complex inquiries such as filing an auto insurance claim. Artificial Intelligence

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CIO

NOVEMBER 8, 2023

The Fortune 500 company, born an insurer in Des Moines, Iowa, roughly a decade after the Civil War ended, is under pressure to provide customers with an integrated experience, particularly due to its expanded financial services portfolio, including the acquisition of Wells Fargo’s Institutional Retirement and Trust (IRT) business, Kay says.

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CIO

MARCH 7, 2024

Public LLMs in the sandbox: Safely test publicly available Large Language Models (LLMs) in a sandbox environment, separate from the production setting, to assess their impact without risking operational disruptions. Artificial Intelligence, CSO and CISO, Security

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CIO

MARCH 18, 2024

Every business in some form or another is looking to adopt and integrate emerging technologies—whether that’s artificial intelligence, hybrid cloud architectures, or advanced data analytics—to help achieve a competitive edge and reach key operational goals. We’re at a critical time for digital transformation.

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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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TechCrunch

JANUARY 11, 2023

This means PasarPolis will be able to offer new products and work with partners like Tokopedia, Gojek, Traveloka, Xiaomi and IKEA Indonesia to create custom insurance policies. . PasarPolis is able to underwrite insurance products because of its strategic partnership with Tap Insurance.

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Perficient

SEPTEMBER 19, 2023

The world’s largest gathering of insurance innovation, InsureTech Connect (ITC) , is right around the corner. Following last year’s conference, Perficient Insurance Principal Brian Bell shared three key takeaways from the 2022 event: First, data and analytics investments still topped many insurers’ list of operational priorities.

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Cloudera

SEPTEMBER 22, 2022

Insurance carriers are always looking to improve operational efficiency. To me, this means that by applying more data, analytics, and machine learning to reduce manual efforts helps you work smarter. Step two: expand machine learning and AI. You can read more about UDD here.

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Analytics Data Insurance eBook 95

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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CIO

FEBRUARY 13, 2023

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). Fifty-two percent of organizations plan to increase or maintain their IT spending this year, according to Enterprise Strategy Group.

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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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Trigent

SEPTEMBER 20, 2023

Usage-based insurance, often referred to as UBI, has shot to popularity due to its immense potential for insurers when it comes to customization and cost savings. In-car technologies and the surge in connected cars significantly contribute to the growing market size of usage-based insurance. percent between 2023 and 2032.

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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

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

AUGUST 29, 2022

As a first step, companies can adopt data analytics to help reduce food or product waste. Circular economy: Re-use infrastructure for new technology initiatives instead of retiring equipment. Natural resources: In addition to reducing their carbon footprint, companies need to address water usage and improve waste management practices.

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CIO

FEBRUARY 16, 2024

These HCM services include applicant tracking, compensation, talent, and learning management, as well as insurance and retirement services. Aside from its use of Azure and Cisco Cloud, for example, ADP has leveraged AWS, GCP, and Snowflake for analytics, as well as myriad AI platforms.

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CIO

MARCH 26, 2024

In addition to AI and machine learning, data science, cybersecurity, and other hard-to-find skills , IT leaders are also looking for outside help to accelerate the adoption of DevOps or product-/program-based operating models. Last June, for example, Dun & Bradstreet launched D&B.AI

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Technical Review Technical Advisors Development Team Review Artificial Inteligence 312

TechCrunch

APRIL 27, 2022

The startup has raised $25 million, a Series B that is being led by insurance and financial services giant USAA , with Mastercard, Capital One Ventures, C5 Capital, DataTribe, the CIA’s strategic investment arm In-Q-Tel, Cyber Mentor Fund, Bloomberg Beta, GC&H, and 1843 Capital also participating. .”

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TechCrunch

MARCH 21, 2022

It says that more than 250 banks, credit unions, insurance companies and other financial services businesses currently use its tools to help its customer service teams field support questions — and, because so much customer service is interlinked with sales these days, potentially upsell those customers to more services.

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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).

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Altexsoft

JUNE 14, 2021

In today’s society, insurers can no longer ignore the mounting expectations of customers. Clients now expect insurers to provide different levels of personalization that are fast, adaptable, and up to date. Is personalized insurance really the future of insurance? What is personalized insurance, and why is it important?

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Cloudera

NOVEMBER 16, 2020

The insurance industry has a long and intimate relationship with fraud in many different ways. Insurance fraud can take place at a process or business function level, most notably in claims or underwriting. The different venues to commit fraud against an insurer are mind-boggling, with serious financial consequences.

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CIO

JUNE 13, 2023

Once wild and seemingly impossible notions such as large language models, machine learning, and natural language processing have gone from the labs to the front lines. Main constituents: Data-driven enterprises that want to explore computation-heavy challenges such as AI or complex analytics.

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Datavail

SEPTEMBER 2, 2021

Moving data analytics to the cloud would be much simpler if it were a “lift and shift” process. Since that’s not possible when you’re moving analytics to the cloud, you need to be prepared for the challenges you’ll face. But, there are many players in the data analytics market. However, those challenges shouldn’t discourage you.

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CIO

JANUARY 11, 2023

Critical IT skills, especially in cybersecurity, artificial intelligence, and machine learning, have long been in short supply, and the current labor shortage is intensifying the need for such professionals, Kirkwood notes. level talent while embracing the latest data mining, data analysis, and analytical tools.

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TechCrunch

OCTOBER 13, 2021

The startup is using natural language processing and data analytics to create a massive database of patient data that can help stakeholders better understand, and treat, people holistically. Notably, ScienceIO doesn’t track, it just makes data more searchable and produces analytics that can be turned into usable insights.

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CIO

MARCH 27, 2023

Integration with cognitive intelligence (context-sensitive knowledge management, predictive analytics, and similar) will be key for doing so. Don’t expect to see night-and-day differences but rather a turning point in the relationship between machines and humans. Artificial Intelligence

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