TechCrunch

JULY 20, 2021

Alex Dalyac is the CEO and co-founder of Tractable , which develops artificial intelligence for accident and disaster recovery. Here’s how we did it, and what we learned along the way. In 2013, I was fortunate to get into artificial intelligence (more specifically, deep learning) six months before it blew up internationally.

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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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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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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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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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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. An example of document structure in healthcare insurance. Source: affine.ai.

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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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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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CIO

MARCH 7, 2024

Here are the key recommendations I provided: AI training implementation: Introduce AI training aligned with company policies and processes to empower employees with the necessary skills and awareness. Some organizations are including machine learning in the category, which makes the AI conversation more inclusive.

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Altexsoft

FEBRUARY 5, 2019

The rapid development of artificial intelligence (AI) is forcing the world’s governments to try and keep up with the inherent changes. Here in the US, these developments are what spurred the introduction of the Fundamentally Understanding the Usability and Realistic Evolution (FUTURE) of Artificial Intelligence Act of 2017.

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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. ” To help businesses get started with the platform, DeepSee.ai offers three core tools.

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OTS Solutions

JULY 28, 2022

Various kinds of companies, from banks and insurance companies, have been around for 100 years. AI ( Artificial Intelligence ). AI (artificial intelligence) and machine learning (learning by machines) have been getting a lot of attention lately as digital trends in many fields.

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TechCrunch

JULY 7, 2022

Co-founder and CTO Henry Bradlow had previously written algorithms to power rocket ships at SpaceX, so the trio —Calvano, Francisco Enriquez and Bradlow — was determined to find a way for artificial intelligence to streamline the construction back office. And then of course at the end, we’ll let them pay.”.

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Trigent

APRIL 28, 2021

The insurance industry is still exploring ways to leverage its capabilities to their full potential, those who have managed to make inroads are already experiencing extraordinary benefits. Considering that insurance is now an integral part of our lives, the benefits received from RPA adoption are enjoyed by insurers and customers.

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Altexsoft

APRIL 12, 2022

The bot was trained to generate its responses based on interactions with users. To prevent the potential negative outcomes, companies must regulate their artificial intelligence programming and set a clear governance framework in advance. The models and data they are trained on are far from perfect. But there was a catch.

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TechCrunch

SEPTEMBER 22, 2021

The company, founded in January of this year, is in the process of scientifically validating The Blue Box – which includes both hardware and artificial intelligence components. The next piece of the puzzle is training the machine learning algorithm to recognize late state breast cancer.

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CIO

JANUARY 10, 2024

From IT’s point of view, there’s going to be a steep trajectory over the next few years, spearheaded by generative AI and machine learning, that will dramatically change how people live and work. Then there’s thinking outside the box to figure out what the unknown risks are regarding generative AI and machine learning.

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TechCrunch

MARCH 15, 2021

million, funding that Xabi Uribe-Etxebarria, Sherpa’s founder and CEO, said it will be using to continue building out a privacy-focused machine learning platform based on a federated learning model alongside its existing conversational AI and search services. The company has closed $8.5

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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. The biggest worries are coming from websites that recognize how their data may be used to train AI models. Or maybe just ten or five or one?

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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

APRIL 30, 2021

Incorporating a company or even insurance, for example, owning and buying insurance for your business is somewhat affordable and accessible. “Essentially, we synthesize all of that, and the goal through machine learning is to make sure that applications are utterly compliant with government rules. .

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TechCrunch

AUGUST 25, 2021

Surgeons and nurses performing operations obviously monitor the patient’s vitals closely and have learned to identify the signs of an impending stroke from the EEG monitoring their brainwaves. “There are specific patterns that people are trained to catch with their eyes. covered by insurance).

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TechCrunch

JUNE 23, 2022

“I started asking lots and lots of people — climate scientists I’d worked with, land managers, utility leaders, insurance leaders — why is this happening so catastrophically? . “We were in the middle of the 2018 wildfire season, with the Carr Fire, and what I thought at the time was the worst season ever,” Wolff said.

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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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Cloudera

APRIL 6, 2022

Although researchers can recruit “citizen scientists” to help look at images through crowdsourcing ventures such as Zooniverse , astronomy is turning to artificial intelligence (AI) to find the right data as quickly as possible. It’s a process that some companies call geospatial intelligence (GI). .

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CIO

SEPTEMBER 12, 2022

“This team has prototyped applications involving multiple components of artificial intelligence, blockchain, low-code/no-code development, and even quantum computing,” the CIO says. The team was given time to gather and clean data and experiment with machine learning models,’’ Crowe says.

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Cloudera

NOVEMBER 25, 2021

Advances in the performance and capability of Artificial Intelligence (AI) algorithms has led to a significant increase in adoption in recent years. Advances in AI have meant that we have moved from building systems that make decisions based on human defined rules, to systems trained on data. Insurance Fraud.

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TechCrunch

AUGUST 25, 2021

Meet Taktile , a new startup that is working on a machine learning platform for financial services companies. This isn’t the first company that wants to leverage machine learning for financial products. They could use that data to train new models and roll out machine learning applications.

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TechCrunch

NOVEMBER 23, 2021

What makes Verbit’s platform unique is that it harnesses the power of both artificial and human intelligence to provide vertical-specific transcription and captioning, building solutions that fit each industry, Livne continued. . It means Verbit’s customers are in the legal, education, media and enterprises sectors.

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TechCrunch

JANUARY 11, 2023

This proved to be a wise move — Inbenta’s customer base has grown to more than 250 brands across industries including financial services, travel, e-commerce, insurance, auto and telecom.

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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.

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The Accidental Successful CIO

APRIL 21, 2021

CIOs need to get ready for big changes that are coming their way: Artificial Intelligence (AI) is arriving. Companies that deal with such diverse things as manufacturing, finance, and even insurance are starting to take advantage of products that allow their workers to create AI tools for their business.

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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. Examples: Training data violates new state privacy laws ; AI designed to violate privacy. FTC Commissioner Rebecca K.

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Existek

SEPTEMBER 28, 2023

With the major progress in all sub-domains of artificial intelligence, the demand for AI developers has tremendously increased. And the main focus remains on implementing and integrating artificial intelligence into the project deliverables. Training and optimization: They use data to build and train AI models.

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Openxcell

APRIL 25, 2023

Until recently, technology geeks and computer scientists were the main players in the development of Artificial Intelligence. With AI’s recent advancements, the tech industry requires more precise Artificial Intelligence service providers. The use of Artificial Intelligence can help detect and prevent fraud.

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Mentormate

JUNE 26, 2023

Over the past several months, artificial intelligence (AI) has revealed its power and potential to the general public with the rise of generative AI tools like ChatGPT and Stable Diffusion. That was when the first commercial computers started supporting business operations and tasks in the insurance and military sector.

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