Hu's Place - HitachiVantara

SEPTEMBER 4, 2018

Enterprise Storage Forum recently published their 2018 Storage Trends survey which made some interesting observations. The biggest challenges for IT and business leaders with operating their current storage infrastructure were aging equipment and lack of storage capacity. EB shipped in 1Q 2018. EB shipped in 1Q 2018.

Storage 53

Storage Performance IoT Machine Learning 53

Cloudera

SEPTEMBER 11, 2018

Last week Cloudera introduced an open end-to-end architecture for IoT and the different components needed to help satisfy today’s enterprise needs regarding operational technology (OT), information technology (IT), data analytics and machine learning (ML), along with modern and traditional application development, deployment, and integration.

IoT 40

IoT Machine Learning Artificial Inteligence Data 40

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).

Knowledge Base 106

Knowledge Base Artificial Inteligence Generative AI AWS 106

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. Who needs a data lake?

Architecture 52

Architecture Data Storage Machine Learning 52

OTS Solutions

DECEMBER 22, 2023

Overview of Digital Transformation Digital transformation means the operational, cultural, and organizational changes within an organization’s ecosystem with the help of modern technologies such as cloud computing, the Internet of Things, artificial intelligence, machine learning, mobile apps, etc.

Artificial Inteligence 130

Artificial Inteligence Technical Review Artificial Intelligence Weak Development Team 130

Xicom

MARCH 14, 2023

Table Of Contents 1) Machine Learning in Mobile Apps 2) Predictive Analysis 3) Virtual Personal Assistants 4) Improved User Experience 5) Augmented Reality 6) Blockchain Technology 7) Facial Recognition 8) Internet of Things 9) Cloud Computing 10) Cybersecurity 11) Marketing and Advertisements 12) Big Data Q1: What is Artificial Intelligence?

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Mobile Development 52

Altexsoft

AUGUST 4, 2020

Eighty percent of financial services executives report the success of their big data investments, but the value of big data in a variety of industries transcends the financial. In healthcare, for instance, big data can play a real role in saving lives through disease prevention. A World of Big Data Tools.

Artificial Inteligence 75

Artificial Inteligence Big Data Technical Review Healthcare 75

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. ” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared. Building an AI or machine learning model is not a one-time effort.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Cloudera

JANUARY 26, 2022

Virtual machines came to be, and this meant that several (virtual) environments with their own operating systems could run in one physical computer. . The amount of data being collected grew, and the first data warehouses were developed. Big Data” became a topic of conversations and the term “Cloud” was coined. .

Cloud 84

Cloud Data Architecture Operating System 84

Hu's Place - HitachiVantara

APRIL 11, 2019

Few Data Management Frameworks are Business Focused Data management has been around since the beginning of IT, and a lot of technology has been focused on big data deployments, governance, best practices, tools, etc. However, large data hubs over the last 25 years (e.g., What has changed since then?

Data Engineering 81

Data Engineering Machine Learning Artificial Inteligence Technical Review 81

OTS Solutions

MAY 2, 2023

Artificial intelligence and machine learning: Artificial and machine learning are critical technologies in digital transformation. They enable businesses to analyze the vast amount of data in real time, identify patterns and insights, and automate repetitive processes.

Artificial Inteligence 130

Artificial Inteligence Artificial Intelligence Machine Learning Blockchain 130

Mobilunity

MAY 8, 2023

Key zones of an Enterprise Data Lake Architecture typically include ingestion zone, storage zone, processing zone, analytics zone, and governance zone. Ingestion zone is where data is collected from various sources and ingested into the data lake. Storage zone is where the raw data is stored in its original format.

Engineering 52

Engineering Data Storage AWS 52

Xicom

JANUARY 4, 2023

Top 10 Android app development trends 1) Artificial Intelligence 2) 5G Technology 3) Blockchain Technology 4) Augmented Reality and Virtual Reality 5) Internet of Things & Cloud 6) CyberSecurity 7) Wearables applications 8) Chatbots 9) Cross-platform development 10) Big Data Conclusion FAQs. 10) Big Data.

Trends 59

Trends Artificial Inteligence Development Artificial Intelligence 59

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Hybrid clouds must bond together the two clouds through fundamental technology, which will enable the transfer of data and applications. 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.

Cloud 78

Cloud Google Cloud Azure AWS 78

Kaseya

MAY 13, 2021

As the name suggests, a cloud service provider is essentially a third-party company that offers a cloud-based platform for application, infrastructure or storage services. In a public cloud, all of the hardware, software, networking and storage infrastructure is owned and managed by the cloud service provider. What Is a Public Cloud?

Google Cloud 122

Google Cloud Azure AWS Cloud 122

Cloudera

JANUARY 20, 2021

Predictive Analytics – predictive analytics based upon AI and machine learning (Fraud detection, predictive maintenance, demand based inventory optimization as examples). Security & Governance – an integrated set of security, management and governance technologies across the entire data lifecycle.

Data 106

Data Artificial Inteligence Analytics Machine Learning 106

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. Networking technologies to send data. Let’s get started. IoMT ecosystem components.

Healthcare 64

Healthcare Internet IoT Systems Review 64

Instaclustr

DECEMBER 1, 2019

The Berlin ApacheCon was also smaller, but in a more compact location and with less tracks (General, Community, Machine Learning, IoT, Big Data), so on average the talks had more buzz than Las Vegas, with an environment more conducive to catching up with people more than once for ongoing conservations afterwards.

IoT 39

IoT Open Source Conference Big Data 39

Altexsoft

JUNE 14, 2021

This is possible because their machine learning model is retrained almost daily. On top of that, the company uses big data analytics to quantify losses and predict risks by placing the client into a risk group and quoting a relevant premium. Or your data quality may be low to reach project feasibility.

Insurance 88

Insurance Machine Learning Artificial Inteligence Policies 88

Trigent

MARCH 24, 2021

The rapid acceleration of digital transformation initiatives in the modern business landscape has brought emerging technologies such as artificial intelligence, machine learning, and automation to the fore. Artificial intelligence, machine learning, big data have all been spoken about extensively and form the very backbone of AIOps.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Infrastructure 52

Trigent

MARCH 24, 2021

The rapid acceleration of digital transformation initiatives in the modern business landscape has brought emerging technologies such as artificial intelligence, machine learning, and automation to the fore. Artificial intelligence, machine learning, big data have all been spoken about extensively and form the very backbone of AIOps.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Technical Review 52

Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data empower companies to not only have a completely transparent view of movement of materials and products within their line of sight, but also leverage data from their suppliers to have a holistic view 2-3 tiers deep in the supply chain. Digital Transformation is not without Risk.

Analytics 108

Analytics Open Source Government Machine Learning 108

Actian

FEBRUARY 24, 2020

Still, the underlying premise is the same – in a post-digital transformation environment, companies need the ability to leverage a wide variety of technology components to support their business: IoT, cloud services, mobile devices, SaaS software, and traditional IT systems. RPA vendors also have a data challenge.

Artificial Inteligence 40

Artificial Inteligence IoT Artificial Intelligence Mobile 40

Instaclustr

DECEMBER 2, 2019

The Berlin ApacheCon was also smaller, but in a more compact location and with less tracks (General, Community, Machine Learning, IoT, Big Data), so on average the talks had more buzz than Las Vegas, with an environment more conducive to catching up with people more than once for ongoing conservations afterwards.

IoT 36

IoT Open Source Conference Big Data 36

Linux Academy

JANUARY 26, 2019

Compute- and storage-intensive applications find their way to the cloud because of the need to scale so large that on-premises data centers are simply no longer feasible. Consumers will soon go beyond smartphones and tablets and start using wearables, connected cars, and other IoT devices more than ever before.

Cloud 60

Cloud Artificial Inteligence Data Center Artificial Intelligence 60

UruIT

AUGUST 22, 2021

Technology with its secure and trustworthy data process has an enormous capacity for storage and management and is changing the way we capture, show, and market listings, make informed recommendations and keep our properties safe and efficient. AI-Driven Marketing and Machine Learning. IoT and Remote Access.

Real Estate 52

Real Estate Industry Technology Artificial Inteligence 52

Altexsoft

NOVEMBER 2, 2018

As the world’s logistical requirements continue to become even more complex, big-data driven applications have already stepped in to streamline logistics on a global scale. Meanwhile, the system’s Local Clearance Procedure (LCP) is a similar option for the storage of goods before they are released through customs procedures.

Industry 87

Industry Artificial Inteligence Blockchain Technical Review 87

Hacker Earth

MARCH 29, 2018

Data storage, privacy, and protection regulations (63%). IoT devices, sensors, and telematics have been fast gaining adoption in the insurance sector. AI algorithms can save millions lost to fraudulent claims by scouring data and identify errors and trends. Big Data and Predictive Analytics in insurance.

Insurance 48

Insurance Industry Technology Artificial Inteligence 48

Altexsoft

MARCH 30, 2020

the fourth industrial revolution driven by automation, machine learning, real-time data, and interconnectivity. Similar to preventive maintenance, PdM is a proactive approach to servicing of machines. It preprocesses and filters data from IIoT thus reducing its amount before feeding to the data center.

Artificial Inteligence 72

Artificial Inteligence Machine Learning Technical Review IoT 72

Altexsoft

MAY 20, 2020

For the most part, they belong to the Internet of Things (IoT), or gadgets capable of communicating and sharing data without human interaction. The number of active IoT connections is expected to double by 2025, jumping from the current 9.9 Source: IoT Analytics. IoT architecture layers. How an IoT system works.

IoT 141

IoT Azure AWS Transportation 141

iTexico

AUGUST 21, 2020

The diverse technologies that find great application in Telemedicine app development are: Big data. By implying the big data computations, it is possible to gather and evaluate EHRs (Electronic healthcare records). The blend of software and hardware leads to better patient care with IoT app solutions. Navigation.

Artificial Inteligence 52

Artificial Inteligence Healthcare Artificial Intelligence Technical Review 52

Altexsoft

AUGUST 25, 2020

Big data can be quite a confusing concept to grasp. What to consider big data and what is not so big data? Big data is still data, of course. Big data is tons of mixed, unstructured information that keeps piling up at high speed. Data engineering vs big data engineering.

Big Data 75

Big Data Data Engineering Engineering Data 75

Mobilunity

MAY 20, 2021

For example, everyone has cloud storage available on their smartphones or connected to their Google account. There are 175 different services available, and it also incorporates AI, machine learning, and 5G. One of the main advantages is that it works great with open-source software and incorporates machine learning.

Engineering 52

Engineering Cloud Google Cloud Azure 52

Existek

JANUARY 11, 2022

They provided a few services like computing, Azure Bob storage, SQL Azure, and Azure Service Bus. Along with meeting customer needs for computing and storage, they continued extending services by presenting products dealing with analytics, Big Data, and IoT. Machine learning. Migration and transfer.

Azure 52

Azure AWS Cloud How To 52

Altexsoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. Big data processing.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

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?

Cloud 40

Cloud Data Analytics Case Study 40

Altexsoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52