CIO

JULY 18, 2023

The CIO’s biggest hiring challenge is clear: “There is simply not enough talent to go around,” says Scott duFour, global CIO of business payments company Fleetcor, for whom positions in areas such as AI, cloud architecture, and data science remain the toughest to fill. S&P Global, for example, is entering its AI 2.0

Technical Advisors 246

Technical Advisors Artificial Inteligence Generative AI How To 246

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

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. This article explains what a data lake is, its architecture, and diverse use cases. This flexibility makes it easier to accommodate various data types and analytics needs as they evolve over time. What is a data lake?

Architecture 52

Architecture Data Storage Machine Learning 52

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 291

Artificial Inteligence Strategy Data Machine Learning 291

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 108

Analytics Open Source Government Machine Learning 108

Cloudera

DECEMBER 18, 2018

Standards and architectures are the guidelines that ensure the ability for open source software to integrate, exchange and interact. Defining these is, therefore, a crucial element, and Cloudera is now taking part in just that for the biggest revolution we’ve seen in business and society: the Internet of Things (IoT).

IoT 43

IoT Open Source Architecture Machine Learning 43

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

Perficient

FEBRUARY 1, 2024

AWS Glue is a serverless data integration service that simplifies the discovery, preparation, and movement of data for analytics, machine learning (ML), and application development. Key Features and Architecture Data Catalog: Stores metadata about your data assets, including location, schema, and lineage.

AWS 52

AWS Serverless IoT Windows 52

Cloudera

DECEMBER 6, 2021

All three organizations have partnered with Cloudera, leveraging a hybrid or cloud-based architecture to improve the lives of the people who depend on their organizations’ data. The post How Hybrid and Cloud-Based Architectures are Unlocking the Power of Data appeared first on Cloudera Blog. Ares Trading SA (Merck).

Architecture 81

Architecture Cloud Data Chemicals 81

Apiumhub

FEBRUARY 6, 2023

In this event, hundreds of innovative minds, enterprise practitioners, technology providers, startup founders, and innovators come together to discuss ideas on data science, big data, ML, AI, data management, data engineering, IoT, and analytics. Feel free to check out the whole list of speakers here.

Innovation 83

Innovation Data Machine Learning Artificial Inteligence 83

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

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. What is the architecture to bridge edge to cloud?

IoT 53

IoT Technical Review Machine Learning Artificial Inteligence 53

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 271

Sustainability Innovation Artificial Inteligence Energy 271

Apiumhub

MARCH 12, 2024

The Evolution of Cloud Computing Trends Edge Computing Redefining Latency Edge computing is poised to revolutionize cloud architecture by decentralizing computing power. Technical Example : Edge Computing in IoT Scenario: In an IoT deployment, edge computing processes sensor data locally on edge devices, reducing latency and bandwidth usage.

Trends 52

Trends Innovation Cloud Serverless 52

CIO

OCTOBER 13, 2022

There are also opportunities to improve application code and architecture post a lift-and-shift migration to public hyperscaler platforms like AWS. AWS cloud infrastructure, in particular, has significant energy efficiency advantages. An AWS/451 Research report shows that AWS public cloud infrastructure is 3.6

Sustainability 148

Sustainability Artificial Inteligence AWS Data Center 148

The Crazy Programmer

SEPTEMBER 25, 2021

It shared-nothing architecture, which distributes a database across many, networked Db2 servers for scalability. On-premises data warehouse with built-in machine learning, massively parallel processing, and in-database analytics that is maintained by the client. Warehouses increased in size from GBs to TBs and PBs.

Disaster Recovery 113

Disaster Recovery Backup Linux Storage 113

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

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. It’s here where the private cloud delivers.

Cloud 86

Cloud Government Storage Analytics 86

Progress

JULY 31, 2019

One of the biggest dampeners for Internet of Things (IoT) projects today is explaining the Return on Investment (ROI). Application development in the IoT world has become a less buzzy technology to talk about these days. Application development in the IoT world has become a less buzzy technology to talk about these days.

IoT 40

IoT Industry Architecture Software Development 40

AWS Machine Learning - AI

FEBRUARY 29, 2024

Proper handling of specialized terminology and concepts in different formats is essential to detect insights and ensure analytical integrity. To learn more about the capabilities of Amazon Bedrock and knowledge bases, refer to Knowledge base for Amazon Bedrock. This data is information rich but can be vastly heterogenous.

Knowledge Base 107

Knowledge Base Artificial Inteligence Generative AI AWS 107

Coalfire

MAY 31, 2017

Security analytics tools available to companies are increasing rapidly. Newer cyber analytics using machine learning are of primary interest because rule-based or signature-based prevention tools struggle to detect or stop advanced cybersecurity threats.

Analytics 40

Analytics Tools IoT Machine Learning 40

Apiumhub

JUNE 22, 2021

We are super excited to participate in the biggest and the most influential Data, AI and Advanced Analytics event in the Nordics! The Data Innovation Summit is a great opportunity not only to learn but to meet your peers from other organisations, industries and sectors in the Nordic and beyond. Data Innovation Summit !

Innovation 84

Innovation Data Technical Review Artificial Inteligence 84

TechCrunch

FEBRUARY 18, 2022

XRHealth Virtual Clinic – Integrates VR/AR, licensed clinicians and real-time data analytics. Snickerdoodle Labs – Uses blockchain to build agnostic data-sharing layer that enables individuals to control and even monetize their personal data through a tokenized data architecture. The Metaverse.

3D 221

3D Artificial Inteligence VR Programming 221

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

AWS Machine Learning - AI

FEBRUARY 6, 2024

The following diagram illustrates the solution architecture. Amazon SQS enables a fault-tolerant decoupled architecture. The solution also uses SageMaker notebooks (labeled T in the preceding architecture) to perform domain adaption, fine-tune the models, and deploy the SageMaker endpoints.

Generative AI 97

Generative AI AWS Lambda Technical Review 97

Cloudera

JANUARY 26, 2022

The hybrid cloud’s premise—two data architectures fused together—gives companies options to leverage those solutions and to address decision-making criteria, on a case-by-case basis. . At the time, the architecture typically included two tiers, where cloud providers hosted the backend and clients sent their requests via web applications. .

Cloud 84

Cloud Data Architecture Operating System 84

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. AI and machine learning are becoming widely adopted in home appliances, automobiles, plant automation, and smart cities. Building an AI or machine learning model is not a one-time effort.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Palo Alto Networks

MAY 18, 2023

Manufacturers and OT businesses are integrating network-connected Internet of Things (IoT), cloud edge computing, analytics, artificial intelligence (AI) and machine learning (ML) into their production facilities and operations. The evolution of cyber-physical systems as part of Industry 4.0

Network 44

Network Artificial Inteligence IoT Artificial Intelligence 44

Trigent

MARCH 10, 2023

Hyperautomation leverages next-generation technologies , including Artificial Intelligence (AI), Machine Learning (ML), Robotic Process Automation (RPA), and advanced analytics (AA), to deliver end-to-end automation that goes beyond RPA. Furthermore, advanced analytics can help to accelerate logistics competencies.

Artificial Inteligence 52

Artificial Inteligence Transportation Analytics Artificial Intelligence 52

d2iq

JUNE 23, 2022

Like the AWS Summits in Atlanta and Washington DC, the big trends AWS is highlighting at the New York Summit are artificial intelligence (AI), machine learning (ML), analytics, business intelligence, modern applications based on containers, and the Internet of Things (IoT).These

AWS 78

AWS Artificial Inteligence DevOps Guidelines 78

OTS Solutions

JULY 18, 2023

In recent years, the rise of cloud computing , the Internet of Things (IoT) , and big data analytics has transformed the way organizations approach digital engineering. Artificial intelligence and machine learning will also play a significant role in automating and optimizing DevOps processes.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

Cloudera

AUGUST 28, 2018

From AI models that power retail customer decision engines to utility meter analysis that disables underperforming gas turbines, these finalists demonstrate how machine learning and analytics have become mission-critical to organizations around the world. Enterprise Machine Learning. TECHNICAL IMPACT.

Meeting 65

Meeting Data Technical Review Machine Learning 65

Perficient

MARCH 3, 2023

Finally, you can further optimize the content experience with Adobe and AWS Solutions and service such as: Adobe Sensei, an industry-leading AI, machine learning solution to cut the time spent on tedious tasks like tagging, cropping, and adapting assets for each channel and device. For more information on this please read this article.

AWS 64

AWS Technical Review Load Balancer Cloud 64

Datavail

APRIL 18, 2023

Oracle Cloud Infrastructure is specifically designed with a zero-trust, security-first architecture. Top Reasons to Choose Oracle Cloud Infrastructure for Your Business: 1) Automated Security Using a Zero-Trust Approach Recent studies have shown that the biggest cloud security concern for 69% of organisations is data loss and leakage.

Infrastructure 52

Infrastructure Performance Cloud Software Review 52

OTS Solutions

JULY 18, 2023

In recent years, the rise of cloud computing , the Internet of Things (IoT) , and big data analytics has transformed the way organizations approach digital engineering. Artificial intelligence and machine learning will also play a significant role in automating and optimizing DevOps processes.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

Altexsoft

APRIL 23, 2021

The Internet of Medical Things (IoMT) is a subset of the Internet of Things (IoT) , often referred to as healthcare IoT. networks and gateways, the processing layer , presented by cloud middleware or IoT platforms to store and manage data, and. IoT platforms to store, process, and manage data. Let’s get started.

Healthcare 64

Healthcare Internet IoT Systems Review 64