CIO

NOVEMBER 13, 2023

Adopt the new agile Just as CIOs have begun ramping up their organizations on agile methodologies, it’s important for them to know that the days of Scrum masters and Kanban boards are already past. Adopt agile and DevOps methodologies to enhance the speed of development and deployment,’’ Kowsari says.

Technical Review 341

Technical Review Technical Advisors Weak Development Team Open Source 341

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

CIO

FEBRUARY 27, 2023

Italian insurer Reale Group found itself with four cloud providers running around 15% of its workloads, and no clear strategy to manage them. “It Next came three related concerns: business agility and innovation (30%); best-of-breed cloud services and applications (25%); and cloud vendor lock-in concerns (25%).

Study 359

Study Disaster Recovery Real Estate Azure 359

Altexsoft

DECEMBER 9, 2020

Still, today, according to Deloitte research, insight-driven companies are fewer than those not using an analytical approach to decision-making, even though the majority agrees on its importance. What is analytics maturity model? They also serve as a guide in the analytics transformation process. Stages of analytics maturity.

Analytics 102

Analytics Technical Review Technology Applications 102

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.

Fractional CTO 363

Fractional CTO Artificial Inteligence Technical Advisors Budget 363

Cloudera

JUNE 23, 2021

Climate change is a challenge for insurers in some obvious ways, such as stronger and more frequent natural disasters. Yet there are also more subtle risks to monitor, including changes to insured assets, risks, and exposures. Climate change is similar in the way it will also impact the insurer’s investment portfolio practices.

Insurance 52

Insurance .Net Analytics Analysis 52

CIO

DECEMBER 1, 2022

Progressive bootcamp bridges skills gap Insurance company Progressive has developed an in-house IT Programmer Bootcamp to reskill non-technical staff for technical roles within the organization to meet skills and talent gaps in the organization.

Technical Review 287

Technical Review Development Software Review Training 287

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. So there is different levels and that’s what people try to do, especially now in the world of agile. Watch Oren’s full talk.

Machine Learning 59

Machine Learning Artificial Inteligence Testing Software Review 59

TIBCO - Connected Intelligence

MARCH 16, 2021

The insurance industry stands at the threshold of profound change. With a rise in digitalization, insurers have an incredible opportunity to drive more personalized offerings, reduce costs, and significantly boost competitiveness. How can insurance companies digitally innovate and succeed in this new dynamic environment?

Insurance 26

Insurance Innovation Artificial Inteligence Artificial Intelligence 26

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.

Insurance 40

Insurance Technology Artificial Inteligence Policies 40

Cloudera

MAY 4, 2022

The availability and maturity of automated data collection and analysis systems is making it possible for businesses to implement AI across their entire operations to boost efficiency and agility. Insurance and finance companies leverage this speed to review claims, loan requests, and credit checks. Faster decisions .

Artificial Inteligence 128

Artificial Inteligence Off-The-Shelf Systems Review Artificial Intelligence 128

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

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. It also enables agility to assess more data points quickly and assess KPIs.

Insurance 97

Insurance Machine Learning Artificial Inteligence Groups 97

Cloudera

FEBRUARY 4, 2021

They need a comprehensive data and analytics platform to model risk exposures on-demand. Cloudera comprehensively supports the demanding risk and compliance requirements of financial services and insurance organizations globally and it is an honor to receive this recognition. Cloudera is that platform. End-to-end Data Lifecycle.

Technical Review 86

Technical Review Marketing Technology Data 86

Cloudera

JULY 21, 2021

This is the category for Cloudera customers whose IT administration provides the agility business requires, without putting organizations at risk, and who are embracing a pattern of technology adoption that prioritizes speed. And where over 95% of the population find themselves without private insurance.

Data 92

Data Insurance Machine Learning Artificial Inteligence 92

Apiumhub

MARCH 16, 2021

Online analytical processing. Predictive analytics. Prescriptive analytics. For example, financial services firms and insurers use BI for risk analysis during the loan and policy approval processes and to identify additional products to offer to existing customers based on their current portfolios. Dashboard development.

Business Intelligence 117

Business Intelligence Tools Artificial Inteligence Technical Review 117

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

CTOvision

OCTOBER 18, 2013

In March 2011 Businessweek quoted Cloudera’s Mike Olson describing a “Cambrian explosion” of corporate analytical technology. H2O is the open source math & machine learning platform for speed and scale. Alteryx, a leader in Strategic Analytics, dramatically improves data analysts’ productivity.

Technical Review 99

Technical Review Analytics Technology Big Data 99

Cloudera

MAY 25, 2021

Data and analytics have become second nature to most businesses, but merely having access to the vast volumes of data from these devices will no longer suffice. This entails next-generation stream processing and analytics to ingest, process, and deliver real-time data. Liberate access to self-service analytics for any user persona.

Automotive 70

Automotive Analytics Construction Insurance 70

CIO

AUGUST 15, 2023

Beginning with information-gathering sessions with stakeholders to define the problems and needs, the Office of the CTO (OCTO) leveraged human-centered design principles and agile development principles to pilot SafeSpect within five months of the project kickoff date.

Technical Review 240

Technical Review Artificial Inteligence Systems Review Weak Development Team 240

Capgemini

OCTOBER 20, 2023

Understanding generative AI and synthetic data Generative AI refers to a subset of artificial intelligence, particularly machine learning, that uses algorithms like generative adversarial networks (GANs) to create new content. Insurance: In insurance, synthetic data can be used to generate artificial claims data.

Generative AI 52

Generative AI Artificial Inteligence Data Artificial Intelligence 52

Mobilunity

APRIL 23, 2024

The Shift Towards Agile and Remote Teams The COVID-19 has changed the way people work in big ways, speeding up the move toward more flexible and remote global teams. Leveraging AI and Machine Learning Using AI and machine learning in predictive analytics can make financial services decision-making a lot better.

Fintech 52

Fintech Banking Weak Development Team Technical Review 52

Cloudera

NOVEMBER 24, 2020

This category recognizes organizations whose IT administration provides the agility a business requires, without putting the business at risk, and embraces a pattern of technology adoption that prioritizes speed. This year, OVO has done just that, setting itself apart to win the Data Champions category at our 2020 Data Impact Awards.

Data 71

Data Agile Banking Machine Learning 71

Newgen Software

JANUARY 2, 2024

BPM is a deliberate holistic approach that looks in-depth and critically at a company’s existing business processes in order to streamline them for maximum agility and efficiency. For example, in the insurance industry, BPM optimizes and automates business processes such as new business policy underwriting and payment processes.

Software Review 52

Software Review Systems Review Technical Review Artificial Inteligence 52

CTOvision

JUNE 15, 2015

At the core of this commitment, IBM plans to embed Spark into its industry-leading Analytics and Commerce platforms, and to offer Spark as a service on IBM Cloud. IBM will open source its breakthrough IBM SystemML machine learning technology and collaborate with Databricks to advance Spark’s machine learning capabilities.

Open Source 117

Open Source Big Data Machine Learning Artificial Inteligence 117

TIBCO - Connected Intelligence

JANUARY 23, 2020

Python works so well for data science and machine learning (a key to automating processes and insights) in part because it can rapidly scale up or down, making it possible to quickly build, test, and iterate models. Faster insights lead to innovation and competitive advantage. You don’t sit in an IT queue for a year and a half.

Analytics 48

Analytics Open Source Insurance Innovation 48

Zensar

JUNE 28, 2019

Gaining agility and experience through digital tools. Connected Intelligence includes all emerging technologies such as Blockchain, IoT, Drones, Mobility, Apps, Cloud, Augmented Reality , Virtual Reality, and Analytics. Gain Machine learning insights to segment customers. Digital crossover across the business processes.

Industry 45

Industry Artificial Inteligence Insurance IoT 45

Trigent

APRIL 27, 2022

Artificial intelligence (AI), machine learning (ML), and Big Data – Financial companies are leveraging these powerful technologies to transform the customer experience with seamless services and safe transactions. SBI General Insurance has used RPA and AI to build a digital-first business model.

Banking 52

Banking Blockchain Artificial Inteligence Infrastructure 52

Cloudera

AUGUST 22, 2021

I studied Commerce majoring in Economics at university and when I first started in the software industry, cloud was a much less ubiquitous term than it is today but the economics of using cloud, reducing inefficient spend, removing the barrier for innovation and agility, and the flexibility it gives organisations made so much sense to me. .

Cloud 103

Cloud Artificial Inteligence CTO Coach Strategy 103

Existek

OCTOBER 31, 2023

Quality control AI-based image recognition and machine learning models are used for quality control in manufacturing and distribution. For example, Dynamics 365 Supply Chain Management is a known product for its visibility, efficiency, and agility.

How To 52

How To Artificial Inteligence Artificial Intelligence Transportation 52

Confluent

JUNE 26, 2019

Everybody is talking about creating an agile and flexible architecture with microservices , a term that is used today in many different contexts. to train different analytic models or to recover from errors or data corruption). healthcare, finance, insurance, retail). Microservices.

Microservices 109

Microservices Software Review Technical Review Architecture 109

Existek

OCTOBER 7, 2021

Probably the most obvious thing is replacing a whole department of consultants with chatbots built with artificial intelligence and machine learning. Insurance apps. The insurance industry greatly benefits from using mobile or web applications. The analytics modules are often integrated into such applications.

Fintech 52

Fintech Development UI/UX Artificial Inteligence 52

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Apiumhub

NOVEMBER 2, 2021

It uses machine learning and bioinformatics to analyse and predict vaginal microbiomes’ impact on female fertility. The company’s solutions combine pregnancy-specific wearables with data analytics to reassure moms and to provide doctors with better data to earlier predict and manage pregnancy complications.

Artificial Inteligence 80

Artificial Inteligence Testing Apparel Meeting 80

John Snow Labs

FEBRUARY 29, 2024

Furthermore, Gen AI could revolutionize health insurance prior authorization and claims processing, converting unstructured data into structured formats and providing near-real-time benefits verification​​. Also accelerates the learning process for medical practitioners.

Generative AI 40

Generative AI Healthcare Artificial Inteligence Technical Review 40

Coforge

AUGUST 9, 2019

Travel companies will need to embrace Digital Commerce, Artificial Intelligence/ Machine Learning, Predictive Analytics, IoT, and Intelligent Automation for a smooth transition. They should be ready to scale up quickly by adapting Cloud technologies and proven agile and automation practices. CAGR during 2018-2024.

Transportation 8

Transportation Travel Airlines Technology 8

DataRobot

OCTOBER 3, 2017

A Director of Information Analytics Services at a large, multinational healthcare services company is responsible for collecting and changing data schematics from third-party sources, matching and integrating mixed profiles of users, and mapping it to a conformed format. free trial. DataRobot Data Prep. Try now for free.

Trends 52

Trends Azure Conference Media 52