O'Reilly Media - Ideas

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. Machine Learning model lifecycle management. Deep Learning. Data Platforms. Data Integration and Data Pipelines.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Enterprise 111

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Impedance mismatch between data scientists, data engineers and production engineers.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

The Crazy Programmer

NOVEMBER 6, 2021

hence, if you want to interpret and analyze big data using a fundamental understanding of machine learning and data structure. A cloud architect has a profound understanding of storage, servers, analytics, and many more. IoT Architect. Currently, the IoT architects are paid up to Rs20,00,000 per annum.

Artificial Inteligence 290

Artificial Inteligence Artificial Intelligence Blockchain Software Review 290

CIO

FEBRUARY 14, 2023

Titanium Intelligent Solutions, a global SaaS IoT organization, even saved one customer over 15% in energy costs across 50 distribution centers , thanks in large part to AI. AI is the perception, synthesis, and inference of information by machines, to accomplish tasks that historically have required human intelligence.

Artificial Inteligence 290

Artificial Inteligence Strategy Data Machine Learning 290

Perficient

DECEMBER 2, 2022

The basic flow of data can be summarize like so: Events are emitted by IoT devices over OPC-UA or MQTT to a local broker. Part of the data is (selectively) copied to a message broker for event-driven services, streaming analytics. Messages are also (selectively) transferred to the cloud for analytics and global integration.

IoT 69

IoT Systems Review Software Review Industry 69

Cloudera

DECEMBER 20, 2022

In this respect, several studies project that a proper use of advanced analytics implies savings of between 5% and 7.5%. For example, predictive maintenance, based on machine learning, will enable utility companies to take preventative action that avoids large-scale power outages and costs.

Energy 79

Energy Analytics Data Machine Learning 79

OTS Solutions

NOVEMBER 14, 2023

Improving patient outcomes through predictive analytics Predictive analytics is transforming the way dental practices approach patient care. By analyzing historical data, predictive analytics algorithms can identify patterns and predict potential oral health issues before they become severe. How to overcome?

Technical Review 130

Technical Review Technology 3D Healthcare 130

Cloudera

AUGUST 3, 2021

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Improve Visibility within Supply Chains.

Analytics 107

Analytics Open Source Government Machine Learning 107

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

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. This flexibility makes it easier to accommodate various data types and analytics needs as they evolve over time. This structure is made efficient by data engineering practices that include object storage.

Architecture 52

Architecture Data Storage Machine Learning 52

Cloudera

AUGUST 4, 2021

In fact, McKinsey points to a 50% reduction in downtime and a 40% reduction in maintenance costs when using IoT and data analytics to predict and prevent breakdowns. Navistar relies on predictive maintenance, which leverages IoT and data analytics to predict and prevent breakdowns of commercial trucks and school buses. “We

IoT 98

IoT Machine Learning Artificial Inteligence Government 98

Altexsoft

JULY 3, 2019

As we know, the IoT will enable businesses to capture more data for deep analysis while obtaining more granular control over processes. Combined with AI and machine learning, smart automation is an exciting prospect. How could the IoT undermine the security of your business? The Dangers of Compromised IoT Devices.

IoT 98

IoT Enterprise Software Review Technical Review 98

CIO

FEBRUARY 27, 2023

This number is concerning given emerging digital technologies such as blockchain, IoT, artificial intelligence, and machine learning are increasing demand for data centre services further, as workloads are no longer confined to the core data centre and can run anywhere, including the edge.

Sustainability 275

Sustainability Innovation Artificial Inteligence Energy 275

Cutter Consortium

MARCH 22, 2018

IoT, 5G and AI are driving convergence of traditional computing models that deliver value to organizations. These models enable intelligent analytics all the way from the edge to the cloud. These models enable intelligent analytics all the way from the edge to the cloud.

IoT 53

IoT Technical Review Machine Learning Artificial Inteligence 53

The Crazy Programmer

SEPTEMBER 25, 2021

DB2 9 allows you to store XML “natively,” as well as useful storage compression to conserve space on your hard drive. On-premises data warehouse with built-in machine learning, massively parallel processing, and in-database analytics that is maintained by the client. DB2 Product Package Tools. Db2 Big SQL.

Disaster Recovery 113

Disaster Recovery Backup Linux Storage 113

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

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. Proper handling of specialized terminology and concepts in different formats is essential to detect insights and ensure analytical integrity.

Knowledge Base 109

Knowledge Base Artificial Inteligence Generative AI AWS 109

Apiumhub

MARCH 12, 2024

This paradigm shift significantly reduces latency, making real-time processing feasible for applications such as the Internet of Things (IoT), autonomous vehicles, and augmented reality. AI-Driven Security Analytics Artificial Intelligence (AI) is playing a pivotal role in enhancing cloud security.

Trends 52

Trends Innovation Cloud Serverless 52

O'Reilly Media - Ideas

JANUARY 8, 2019

In a recent O’Reilly survey , we found that the skills gap remains one of the key challenges holding back the adoption of machine learning. For most companies, the road toward machine learning (ML) involves simpler analytic applications. Tools for secure and privacy-preserving analytics.

Trends 86

Trends Data Machine Learning Artificial Inteligence 86

Cloudera

NOVEMBER 1, 2022

In the private sector, excluding highly regulated industries like financial services, the migration to the public cloud was the answer to most IT modernization woes, especially those around data, analytics, and storage.

Cloud 83

Cloud Government Storage Analytics 83

CIO

APRIL 8, 2024

Nel 2019 ho valutato un importante progetto cloud per l’azienda in cui lavoravo in quel momento, e che aveva l’esigenza di cambiare il data center e avere più storage. Di cloud exit, però, poco si parla, al contrario di quanto sta accadendo, invece, negli Stati Uniti, dove si registrano alcuni casi di dietro front.

Cloud 130

Cloud Disaster Recovery Data Center Unified Communications 130

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. Meta data will be key, and companies will look to object based storage systems to create a data fabric as a foundation for building large scale flow based data systems.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

TechCrunch

FEBRUARY 18, 2022

XRHealth Virtual Clinic – Integrates VR/AR, licensed clinicians and real-time data analytics. EVE (Electric Vehicle Ecosystem) – E-mobility analytics solution for assessing, tracking and improving corporate fleet electrification strategies. The Metaverse. I-EMS Group, Ltd.

3D 221

3D Artificial Inteligence VR Programming 221

OTS Solutions

MAY 2, 2023

Artificial intelligence and machine learning: Artificial and machine learning are critical technologies in digital transformation. With AI (Artificial Intelligence) and ML (Machine Learning), businesses can optimize productivity, reduce costs, and deliver personalized customer experiences.

Artificial Inteligence 130

Artificial Inteligence Artificial Intelligence Machine Learning Blockchain 130

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Data 103

Data Artificial Inteligence Analytics Machine Learning 103

Trigent

JULY 9, 2021

With logistics automation, IoT-enabled connected devices, and tech-driven logistics services coming into play, it’s safe to assume we are in for some significant changes in the industry. Artificial Intelligence (AI) and Machine Learning (ML). Internet of Things (IoT).

Trends 52

Trends Industry IoT Blockchain 52

Openxcell

MAY 16, 2023

Greater visibility With the help of digital supply chains, businesses can detect bottlenecks, hazards, and opportunities for improvement by using real-time tracking, monitoring, and analytics to give greater insight into supply chain processes. IoT has been proven to be an asset for companies.

Artificial Inteligence 52

Artificial Inteligence IoT Blockchain Analytics 52

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. Here collected data from databases, logs, IoT devices, social media, and other sources. Storage zone is where the raw data is stored in its original format. Scalability.

Engineering 52

Engineering Data Storage AWS 52

Sunflower Lab

FEBRUARY 8, 2024

Actionable Insights Driving Improvements Power BI dashboards utilize advanced analytics and machine learning algorithms to transform raw healthcare data into actionable insights. Power BI Emergency Room (ER) Analytics Dashboard Timely emergency treatment is crucial.

Healthcare 40

Healthcare Metrics Analytics IoT 40

Hu's Place - HitachiVantara

APRIL 11, 2019

HCP: Object storage for unstructured data through our Hitachi Content Platform and Hitachi Content Intelligence software. This gives us the opportunity to not only connect with other vendor’s management stacks like ServiceNow , but also apply analytics and machine learning and automate deployment of resources through REST APIs.

Data Engineering 81

Data Engineering Machine Learning Artificial Inteligence Technical Review 81

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

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. . Tech giants began to work on developing cloud-based services—like storage and computation—and offering them to clients.

Cloud 82

Cloud Data Architecture Operating System 82

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

Existek

MAY 8, 2023

The platform offers an array of tools and libraries that enable the creation of various types of applications, such as web, mobile, desktop, games, IoT, cloud-based, and microservices.NET has become a mature ecosystem for implementing modern and powerful solutions. Machine learning and AI: what is.NET used for?

Artificial Inteligence 52

Artificial Inteligence .Net Machine Learning Microservices 52

Existek

MAY 8, 2023

The platform offers an array of tools and libraries that enable the creation of various types of applications, such as web, mobile, desktop, games, IoT, cloud-based, and microservices.NET has become a mature ecosystem for implementing modern and powerful solutions. Machine learning and AI: what is.NET used for?

Artificial Inteligence 52

Artificial Inteligence .Net Machine Learning Microservices 52

d2iq

JUNE 27, 2022

Keep Pace with the Smart Cloud-Native Future The big trends that have been highlighted at conferences worldwide include AI, machine learning, analytics, networking and global infrastructure, storage, Internet of Things (IoT), and modern applications based on containers.

Infrastructure 64

Infrastructure Conference Guidelines Open Source 64

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. Continuously learn your customers’ preferences and needs.

Insurance 88

Insurance Machine Learning Artificial Inteligence Policies 88