TechCrunch

APRIL 27, 2022

A similar theme has also been playing out in the enterprise world, where organizations have also grown their security and data protection profiles to help defend themselves against malicious activity.

Tools 196

Tools Machine Learning Artificial Inteligence Analytics 196

CIO

FEBRUARY 16, 2024

For payroll services company ADP, it has paved the way to becoming a SaaS provider capable of taking on big names in enterprise software. These HCM services include applicant tracking, compensation, talent, and learning management, as well as insurance and retirement services. An early partner of Amazon, the Roseburg, N.J.-based

Cloud 289

Cloud Generative AI AWS Azure 289

CIO

FEBRUARY 13, 2023

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

Budget 363

Budget Artificial Inteligence Technical Review VR 363

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.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

TechCrunch

NOVEMBER 2, 2022

There’s been an explosion of enterprise data in recent years, accelerated by pandemic-spurred digital transformations. While more data is generally a good thing, particularly where it concerns analytics, large volumes can be overwhelming to organize and govern — even for the savviest of organizations.

Software 217

Software Data Machine Learning Artificial Inteligence 217

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. .

Insurance 106

Insurance Trends Data Artificial Inteligence 106

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

Virtualization 245

Virtualization Artificial Inteligence Insurance Policies 245

Trigent

MARCH 29, 2023

Modern enterprises are on their way to upgrading automation capabilities beyond conventional automation of manual tasks. New entrants dramatically impact the insurance landscape with diverse digital-first approaches , faster business model innovation , and agility. percent, touching almost $1.04 The answer lies in hyperautomation!

Insurance 52

Insurance Artificial Inteligence Technical Review Systems Review 52

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 311

Technical Review Technical Advisors Development Team Review Artificial Inteligence 311

CIO

JANUARY 11, 2023

“Technology will play a pivotal role in building resiliency, since it’s entrenched in every aspect and rung of an enterprise,” says Peter Kirkwood, principal consultant at Zinnov, a global management consulting and strategy advisory firm. level talent while embracing the latest data mining, data analysis, and analytical tools.

Fractional CTO 363

Fractional CTO Artificial Inteligence Technical Advisors Budget 363

CIO

FEBRUARY 23, 2024

Generative AI takes a front seat As for that AI strategy, American Honda’s deep experience with machine learning positions it well to capitalize on the next wave: generative AI. The ascendent rise of generative AI last year has applied pressure on CIOs across all industries to tap its potential.

Generative AI 306

Generative AI Innovation Automotive Technical Review 306

CIO

JULY 26, 2023

And the crew is using AWS SageMaker machine learning (ML) to give its agents the best local leads and prospective buyers. Data Management, Digital Transformation, Machine Learning We have made a tremendous investment in this integrated architecture that sits on the cloud and are aggressively innovating on top of that.”

Real Estate 246

Real Estate Data Generative AI Machine Learning 246

Cloudera

MARCH 3, 2022

Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. Bad data governance practices lead to data breaches, lawsuits, and regulatory fines — and no enterprise is immune. . Everyone Fails Data Governance. In 2019, the U.K.’s

Government 99

Government Enterprise Systems Review Data 99

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.

Analytics 89

Analytics Cloud Data Artificial Inteligence 89

TechCrunch

MARCH 15, 2021

Sherpa , a startup from Bilbao, Spain that was an early mover in building a voice-based digital assistant and predictive search for Spanish-speaking audiences, has raised some more funding to double down on a newer focus for the startup: building out privacy-first AI services for enterprise customers. The company has closed $8.5

B2B 252

B2B Artificial Inteligence Machine Learning Open Source 252

CIO

MARCH 7, 2024

In my recent column, I delved into the challenges enterprises face in integrating AI into the workplace and outlined strategies for CISOs to monitor or control the use of AI effectively. Patricia was previously the CISO at Markel Insurance, Freddie Mac, Symantec, and Unisys, and her insights have always been extremely valuable to her peers.

Artificial Inteligence 182

Artificial Inteligence Company Firewall Generative AI 182

Trigent

APRIL 28, 2021

Robotic process automation (RPA) technology is embraced by enterprises globally for varied sectors. 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. billion by 2027.

Insurance 52

Insurance Artificial Inteligence Policies Compliance 52

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.

Artificial Inteligence 244

Artificial Inteligence Artificial Intelligence Insurance Video 244

TechCrunch

SEPTEMBER 20, 2022

Despite representing 10% of the world’s GDP, the tourism industry has been one of the last to embrace big data and analytics. On the analytics side, Zartico uses AI to predict activity, like the volume of visitors to a certain area, and to extract mentions of travel destinations from unstructured text (e.g. Image Credits: Zartico.

Tourism 240

Tourism Travel Technical Review Big Data 240

Cloudera

MARCH 25, 2021

The protection and controls around data become increasingly complex when used in the context of banking and insurance activities. Personal and confidential information carries heightened sensitivity in the light of financial, health and insurance activities. Machine learning is proven to help in the fight against fraud.

Enterprise 65

Enterprise Strategy Data Insurance 65

TIBCO - Connected Intelligence

JUNE 11, 2021

But what about insurance? Insurance has always been an information-rich industry, but it’s not always been associated with digital efficiency. To capitalize on these opportunities, traditional insurers can bring real-time, data-driven capabilities to the forefront of operations, using their data advantage to outpace new insurtechs.

Insurance 42

Insurance Artificial Inteligence Data Artificial Intelligence 42

Perficient

OCTOBER 30, 2023

It can learn from interactions to improve performance and efficiency. Perhaps you’ve worked with your IT partners on projects that involve machine learning. Machine learning is a less sophisticated subset of AI that uses proven logic models to perform complex tasks. The adventure is how best to unlock it.

Healthcare 115

Healthcare Machine Learning Artificial Inteligence Generative AI 115

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: Enterprises like medical care or banking that deal with personal information and crime. Or maybe just ten or five or one?

Innovation 359

Innovation Artificial Inteligence Weak Development Team Airlines 359

Newgen Software

NOVEMBER 20, 2023

This ability to analyze and respond promptly makes AI an invaluable asset for modern enterprises. Insurance: Helps classify an insurance claim as fraudulent in real-time to reduce revenue leakage and enables health insurance coverage checks and analysis of vehicle photographs. GenAI goes a step beyond the analytical.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Generative AI Insurance 52

AWS Machine Learning - AI

FEBRUARY 29, 2024

Knowledge Bases for Amazon Bedrock supports multiple vector databases, including Amazon OpenSearch Serverless , Amazon Aurora , Pinecone, and Redis Enterprise Cloud. For enterprise implementations, Knowledge Bases supports AWS Key Management Service (AWS KMS) encryption, AWS CloudTrail integration, and more.

Knowledge Base 109

Knowledge Base Artificial Inteligence Generative AI AWS 109

Cloudera

JULY 15, 2021

For financial institutions and insurers, risk and exposure management has always been a fundamental tenet of the business. Attendees included senior risk managers and analytics experts from financial institutions and insurance companies. Now, risk management has become exponentially complicated in multiple dimensions. .

Insurance 99

Insurance Machine Learning Artificial Inteligence Groups 99

Cloudera

FEBRUARY 4, 2021

Financial services institutions need the ability to analyze and act on massive volumes of data from diverse sources in order to monitor, model, and manage risk across the enterprise. They need a comprehensive data and analytics platform to model risk exposures on-demand. Cloudera is that platform. End-to-end Data Lifecycle.

Technical Review 88

Technical Review Marketing Technology Data 88

Cloudera

JANUARY 5, 2023

Faced with even more pressure to remain resilient and agile amid looming global economic threats, Asia-Pacific (APAC) region businesses are looking to further mobilize emerging technologies such as artificial intelligence (AI) and machine learning that will optimize operational efficiencies and cost savings. .

Artificial Inteligence 52

Artificial Inteligence Trends Data Machine Learning 52

TIBCO - Connected Intelligence

MARCH 29, 2021

To stay competitive, organizations need next-gen analytics that can quickly serve up richer, deeper insights to support accurate, real-time decisions. Gain a panoramic view of all your data with immersive analytics. Immersive analytics provides the vision to see what you never imagined.

Analytics 34

Analytics Business Intelligence Machine Learning Artificial Inteligence 34

CTOvision

OCTOBER 18, 2013

In March 2011 Businessweek quoted Cloudera’s Mike Olson describing a “Cambrian explosion” of corporate analytical technology. Which firms have something so important that you should push hard to get them into your enterprise? H2O is the open source math & machine learning platform for speed and scale.

Technical Review 99

Technical Review Analytics Technology Big Data 99

Xebia

MARCH 10, 2021

Therefore these organisations introduce a new capability: Data & Analytics. This blog elaborates on how adopting DevOps principles can enhance business value creation for the world of Data & Analytics. Data & Analytics should be able to provide the business with insights so that they can make better business decisions.

DevOps 130

DevOps Data Analytics Policies 130

Infinidat

DECEMBER 5, 2023

This is the quintessential NIST guide for any enterprise IT team that wants to have a security framework of guidelines for their storage infrastructure, including cybersecurity, to create a more compliant, hardened storage environment.

Security 60

Security Guidelines Storage Infrastructure 60

Cloudera

JULY 21, 2021

OVO stood out to last year’s judges as the project continually delivers benefits to Indonesia’s 270-million strong population, many of whom do not have access to modern financial services such as investment, lending and insurance. And where over 95% of the population find themselves without private insurance.

Data 94

Data Insurance Machine Learning Artificial Inteligence 94

Newgen Software

JANUARY 2, 2024

RPA system manages tasks with virtually zero errors, very fast and thus yields financial benefits to the enterprise. Alternatively, RPA system is often deployed as part of an enterprise’s digital transformation strategy. Invoice processing is a common RPA software use case given its repetitive, rule-based and manual nature.

Software Review 52

Software Review Systems Review Technical Review Artificial Inteligence 52

Openxcell

JUNE 29, 2018

Right from employee management to data management, customer management and business management, many companies are using enterprise mobile apps to transform their tasks and improve productivity. The Global Enterprise Mobility Market is likely to touch 2.9 Machine Learning. Master complex enterprise challenges.

Artificial Inteligence 58

Artificial Inteligence Mobile Trends Enterprise 58

Openxcell

JUNE 29, 2018

Right from employee management to data management, customer management and business management, many companies are using enterprise mobile apps to transform their tasks and improve productivity. The Global Enterprise Mobility Market is likely to touch 2.9 Machine Learning. Master complex enterprise challenges.

Artificial Inteligence 58

Artificial Inteligence Mobile Trends Enterprise 58

Altexsoft

SEPTEMBER 27, 2020

Have you ever tried to check your insurance claim status? While some insurance carriers have made significant modifications courtesy of disruptive digitalization (we’ve already discussed this topic in our whitepaper), most companies trail behind. Insurants are not satisfied with their service providers.

Insurance 130

Insurance Machine Learning Artificial Inteligence Blockchain 130