Tandem

APRIL 2, 2024

With the ever-expanding set of emerging technologies — big data, machine learning (ML), artificial intelligence (AI), next-gen user experiences (UI/UX), edge computing, the Internet-of-things (IoT), microservices, and Web3 — there is a huge surface area to address. Is your software future-fit?

UI/UX 59

UI/UX Software Weak Development Team Artificial Inteligence 59

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. Talent (87%). IT security (53%). Blockchain.

Insurance 48

Insurance Industry Technology Artificial Inteligence 48

Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.

Analytics 97

Analytics Network Innovation IoT 97

Gorilla Logic

MAY 19, 2021

. • Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Create value from the Internet of Things (IoT) and connected enterprise. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Trigent

SEPTEMBER 20, 2023

The rapid proliferation of Artificial Intelligence (AI) and the Internet of Things (IoT) enables InsurTechs to offer personalized and cost-effective coverage options based on their driving behaviors and vehicle usage patterns. There are consumer protection laws to comply with and industry standards to avoid unfair penalties or discrimination.

Insurance 52

Insurance Policies Technical Review Systems Review 52

Altexsoft

APRIL 23, 2021

We’ve already addressed the subject of IoMT in our article devoted to the role of Big Data in healthcare. The Internet of Medical Things (IoMT) is a subset of the Internet of Things (IoT) , often referred to as healthcare IoT. IoT platforms to store, process, and manage data. Let’s get started.

Healthcare 64

Healthcare Internet IoT Systems Review 64

Capgemini

MAY 13, 2020

So you’ve identified and prioritized your AI business use cases and have an aligned roadmap for the underlying data transformation. Above all, good data management – and, by extension, good AI strategy – calls for sound governance. What should we do to improve our data security and compliance? Author details. Jerry Kurtz.

Artificial Intelligence 59

Artificial Intelligence Artificial Inteligence Government IoT 59

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

REAN Cloud is a global cloud systems integrator, managed services provider and solutions developer of cloud-native applications across big data, machine learning and emerging internet of things (IoT) spaces. This April, 47Lining, announced its Amazon Web Services (AWS) Industrial Time Series Data Connector Quick Start.

Cloud 78

Cloud Google Cloud Azure AWS 78

Openxcell

OCTOBER 17, 2023

More and more industries are observing a surge in startups revolving around digital adoption and the digital transformation of existing businesses. The Fintech industry saw the maximum number of startups operating with a 7.1% Ensure compliance with labor laws and sign NDAs. market share followed by Healthcare at 6.8%

Innovation 92

Innovation Artificial Intelligence Artificial Inteligence VR 92

Datavail

APRIL 6, 2021

Cloud computing has gone from being a cutting-edge technology to a well-established best practice for businesses of all sizes and industries. PaaS includes the essential infrastructure and middleware as well as technologies such as artificial intelligence, the Internet of Things (IoT), containerization, and big data analytics.

Cloud 97

Cloud Disaster Recovery Artificial Intelligence Artificial Inteligence 97

Openxcell

SEPTEMBER 18, 2023

However, the COVID-19 pandemic in 2020 and 2021 undeniably boosted telemedicine as an industry in an unprecedented way. Now is the time to consider entering the telehealth industry if you are interested in telemedicine app development. A remote consultation was first conducted by the Nebraska Psychiatric Institute in the late 1950s.

UI/UX 52

UI/UX Technical Review Development Software Review 52

Xebia

JANUARY 19, 2023

The following quotes date back to those years: Data Engineers set up and operate the organization’s data infrastructure, preparing it for further analysis by data analysts and scientist. – AltexSoft All the data processing is done in Big Data frameworks like MapReduce, Spark and Flink.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Altexsoft

MARCH 16, 2021

In this article, we will explain the concept and usage of Big Data in the healthcare industry and talk about its sources, applications, and implementation challenges. What is Big Data and its sources in healthcare? So, what is Big Data, and what actually makes it Big? But what happens next?

Big Data 116

Big Data Healthcare Applications Data 116

Trigent

JUNE 26, 2023

Physicians are eager to digitize their clinical practices, and the healthcare industry is prioritizing growth and technology modernization to deliver new digital initiatives and advanced healthcare services. has opened new doors for the healthcare industry to make a difference in people’s lives.

Healthcare 52

Healthcare Technical Review Innovation VR 52

Cloudera

JANUARY 19, 2018

There’s more data coming, and there are plenty of impossible things to work on. Machine Learning in the Age of Big Data. From its origins in the 1950’s to today, the age of big data. Sean ascertains that larger data sets and increased access to compute power is propelling the adoption of machine learning.

Artificial Inteligence 46

Artificial Inteligence Machine Learning Big Data IoT 46

Hu's Place - HitachiVantara

JANUARY 3, 2019

” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared. Trend 3: Increasing Data Requirements Will Push Companies to The Edge with Data Enterprise boundaries are extending to the edge – where both data and users reside, and multiple clouds converge.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Hu's Place - HitachiVantara

SEPTEMBER 4, 2018

When one considers the data explosion being accelerated by Big Data, IoT, the increasing use of meta data, and AI/Machine learning, it is not surprising that storage capacity should be our greatest concern. You’ve heard analysts say that data is the new oil that fuels digital transformation.

Storage 53

Storage Performance IoT Machine Learning 53

Palo Alto Networks

MARCH 2, 2020

As technology develops, the cybersecurity industry faces shifting challenges and opportunities. For instance, Singapore has begun its experiments in cloud gaming, autonomous vehicles, smart estates and the food and beverage industry. Navigating IoT will become a minefield for everyone. of worldwide spending, according to IDC.

IoT 54

IoT Wireless Cloud Policies 54

OTS Solutions

MAY 2, 2023

Internet of Things (IoT): The Internet of Things has become important in digital transformation. It is a network of interconnected devices that can communicate and exchange data with each other. To extract meaningful information from the data you need a system, a model, a framework, or data science and analytics.

Artificial Inteligence 130

Artificial Inteligence Artificial Intelligence Machine Learning Blockchain 130

Cloudera

NOVEMBER 19, 2018

Data is collected from in-ground sensors, handheld measurement devices, satellites, GIS, weather sources, and databases related to plants, biomasses, species’ behaviors, and business. Ensuring environmental compliance and proactively detecting unsafe situations. Optimizing crop rotation within small-scale agricultural operations.

Sustainability 40

Sustainability IoT Compliance Machine Learning 40

Kaseya

MAY 13, 2021

Common cloud functionalities offered by AWS that can help businesses scale and grow include: Networking and content delivery Analytics Migration Database storage Compute power Developer tools Security, identity and compliance Artificial intelligence Customer engagement Internet of Things Desktop and app streaming.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

Altexsoft

AUGUST 29, 2023

It is a versatile platform for exploring, refining, and analyzing petabytes of information that continually flow in from various data sources. Who needs a data lake? If the intricacies of big data are becoming too much for your existing systems to handle, a data lake might be the solution you’re seeking.

Architecture 52

Architecture Data Storage Machine Learning 52

Actian

JANUARY 25, 2019

As part of the HCL Technologies ecosystem, this acquisition and partnership enabled Actian to benefit from HCL’s expertise in delivering next generation solutions for the cloud, IoT, cybersecurity and autonomics, as well as expand its global reach. Hybrid Data Conference. Keep an eye out for updates on 2019 events in the pipeline!

Technical Review 40

Technical Review IoT Fractional CTO Conference 40

Apiumhub

AUGUST 2, 2018

Basically, it is a use of technology in the real estate industry to make transactions more efficient. Administrative duties such as the processing of extensive volumes of paperwork have been automated, leaving those in the industry with more time to concentrate on providing excellent service. Smart Homes & IoT. Automation.

Real Estate 52

Real Estate Technical Review IoT VR 52

Cloudera

SEPTEMBER 12, 2018

The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Last night we kicked it off with the sixth annual Data Impact Awards Celebration. Technical Impact. Enterprise Machine Learning: .

Artificial Inteligence 46

Artificial Inteligence Data Machine Learning Pharmaceuticals 46

Modus Create

JULY 19, 2019

Intelligent analytics and big data: 50% 1. IoT: 34% 1. That all said, digital transformation is still riddled with blockers: Lack of data to prove ROI (29% 2 ). Legal and compliance (26% 2 ). They are as follows: Cloud: 62% 1. Mobile: 44% 1. Collaborative technologies: 33% 1. Success With Caveats.

Innovation 79

Innovation Budget Study Groups 79

Cloudera

FEBRUARY 19, 2018

With a modern, top-notch, in-memory columnar database it offers full coverage of all major industries and business processes, from data entry to finance, legal, compliance, production planning, and HR. It’s the de facto choice for all major corporations on the planet to manage their business data. Governance. Cataloging.

Data 48

Data Government Big Data Compliance 48

Actian

JULY 26, 2019

Hybrid infrastructure support: How well does your future warehouse need to support the various current and future operational requirements of your organization by enabling secure access from anywhere, ingesting data in real time, and providing elasticity to increase or decrease compute and storage resources when you need to? Here’s Why , ….

Cloud 40

Cloud Data Analytics Case Study 40

Openxcell

JANUARY 6, 2023

PaaS solutions must include readily available programming components that let programmers add new functionality to their apps, including cutting-edge technologies like artificial intelligence (AI), chatbots, blockchain, and the Internet of Things (IoT). Regulatory compliance. Adobe Creative Cloud. Scalability.

Architecture 52

Architecture Cloud Storage Google Cloud 52

Xicom

NOVEMBER 19, 2020

Besides, our reliance on smart devices, phones, tablets – consisting of an ever-growing number of IoT devices – shed lights on the need for the multi-lane superhighways that were already known to telecommunication and software development company in Dubai and worldwide. . Image Source. Image Source.

Mobile 98

Mobile Weak Development Team Development Blockchain 98

Existek

JANUARY 11, 2022

Cloud solutions have become unquestionably crucial for many industries and businesses. At some point, cloud computing has changed how to streamline business processes and deal with data in general. The tremendous popularity across all industries also explains the high cloud services distribution. Azure vs AWS: which is better?

Azure 52

Azure AWS Cloud How To 52

Gorilla Logic

OCTOBER 2, 2019

For many businesses, IoT has rapidly become a powerful “weapon of mass disruption.” It might not surprise you to learn that, just 26% of all IoT initiatives succeed. . Here are four strategies you can adopt to greatly increase the odds of success for your IoT or IoT-enabled connected enterprise project. Start small.

UI/UX 9

UI/UX Artificial Inteligence Enterprise IoT 9

Cloudera

SEPTEMBER 5, 2018

While the Internet of Things (IoT) represents a significant opportunity, IoT architectures are often rigid, complex to implement, costly, and create a multitude of challenges for organizations. An Open, Modular Architecture for IoT.

IoT 48

IoT Architecture Machine Learning Artificial Inteligence 48

ParkMyCloud

JANUARY 17, 2020

The four different categories/levels of certifications include: Foundational: individuals should have at least six months of basic/foundational industry and AWS knowledge. Additionally, they must be able to implement and automate security controls, governance processes, and compliance validation. Design and maintain Big Data.

Google Cloud 9

Google Cloud Azure AWS Cloud 9

Linux Academy

JANUARY 22, 2020

This means that customers of all sizes and industries can use it to store and protect any amount of data for a range of use cases, such as websites, mobile apps, backup and restore, archive, enterprise applications, IoT devices, and big data analytics. . What Next?

Cloud 28

Cloud Storage AWS Backup 28

Trigent

JUNE 21, 2021

To ensure that the loads do not become compromised or damaged at any point during this process, businesses in the food, medical and pharmaceutical industries are increasingly banking on the cold chain. The use of real-time data enables real-time analytics and response. Every delay can have negative consequences.

Technical Review 98

Technical Review Technology Transportation Pharmaceuticals 98

Cloudera

MAY 10, 2018

With advancements in exploratory data science, machine learning, predictive analytics, AI, and data engineering, the world is increasingly driven by data. This shift has created an unprecedented opportunity for disruption and problem-solving across industries. Business transformation. How to Enter.

Data 41

Data Machine Learning Artificial Inteligence Data Engineering 41