CIO

FEBRUARY 14, 2023

Investments in artificial intelligence are helping businesses to reduce costs, better serve customers, and gain competitive advantage in rapidly evolving markets. 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

DataRobot

MARCH 10, 2022

This “revolution” stems from breakthrough advancements in artificial intelligence, robotics, and the Internet of Things (IoT). With Snowflake and DataRobot, organizations can capture this data and rapidly develop artificially intelligent applications that immediately impact the bottom line. Factory Monitoring?—?

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning IoT 52

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.

Artificial Inteligence 107

Artificial Inteligence Machine Learning Scalability Data Engineering 107

Altexsoft

MAY 12, 2022

Today, we have AI and machine learning to extract insights, inaudible to human beings, from speech, voices, snoring, music, industrial and traffic noise, and other types of acoustic signals. It’s vital for understanding surroundings in IoT applications. Source: Audio Singal Processing for Machine Learning.

Artificial Inteligence 122

Artificial Inteligence Machine Learning Analysis Energy 122

CIO

JANUARY 31, 2024

Use more efficient processes and architectures Boris Gamazaychikov, senior manager of emissions reduction at SaaS provider Salesforce, recommends using specialized AI models to reduce the power needed to train them. “Is There’s also the matter of all the attention massive models have received in the press.

Sustainability 337

Sustainability Data Center Artificial Inteligence Artificial Intelligence 337

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 Industry Software Review 69

CIO

JANUARY 26, 2024

One need only look within Ford’s executive ranks to see the technology talent driving its digital future: Doug Field, Ford’s chief electric vehicle (EV) and digital systems officer, and Rob Bedicheck, executive director of platform architecture, were both recruited from Apple. We use the cloud software that we’re building.

Business Transformation 299

Business Transformation Cloud Automotive IoT 299

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. What is a data lake?

Architecture 52

Architecture Data Storage Artificial Inteligence 52

CIO

JULY 19, 2023

When IoT becomes the driver of a new solutions P&L, the general manager of that business will need more technology acumen than general managers of the past. The first is to expand its managed print services business beyond the traditional large enterprise market into small- and medium-sized businesses.

Leadership 231

Leadership IoT Transportation Strategy 231

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 111

Analytics Open Source Government Machine Learning 111

CIO

APRIL 4, 2024

Some prospective projects require custom development using large language models (LLMs), but others simply require flipping a switch to turn on new AI capabilities in enterprise software. “AI We need to continue to be mindful of business outcomes and apply use cases that make sense.” asks Srivastava.

Enterprise 336

Enterprise Technical Review Generative AI Artificial Inteligence 336

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 118

Knowledge Base Artificial Inteligence AWS Generative AI 118

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

AWS Machine Learning - AI

FEBRUARY 6, 2024

This solution uses the SageMaker JumpStart AI21 Jurassic Jumbo Instruct and AI21 Summarize models to extract and create the documents. The following diagram illustrates the solution architecture. Amazon SQS enables a fault-tolerant decoupled architecture. It captures the message ID returned by Amazon SQS.

Generative AI 107

Generative AI AWS Lambda Technical Review 107

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 147

Sustainability Artificial Inteligence Data Center AWS 147

TechCrunch

FEBRUARY 18, 2022

– Artificial intelligence-powered remote patient monitoring wearable technology. XRHealth Virtual Clinic – Integrates VR/AR, licensed clinicians and real-time data analytics. Eatron Technologies – Intelligent production-ready software solution for the automotive industry and mobility. Somatix, Inc.

3D 221

3D Artificial Inteligence VR Programming 221

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

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 Artificial Inteligence 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 41

IoT Artificial Inteligence Machine Learning Data 41

CIO

JANUARY 12, 2023

Answering these concerns, smart factories are moving to another edge: edge computing, where operational data from Internet of Things (IoT) sensors can be collected and processed for insights in near-real-time. An edge computing architecture can begin to help solve these problems. A lot of it.

Technical Review 189

Technical Review Technology Innovation Data Center 189

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 86

Architecture Cloud Data Chemicals 86

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

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

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

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 Journal Artificial Inteligence 53

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 82

Innovation Data Artificial Inteligence Machine Learning 82

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

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

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! There our Gema Parreño – Data Science expert at Apiumhub gives a talk about Alignment of Language Agents for serious video games. Data Innovation Summit ! Data Innovation Summit – 6th edition.

Innovation 83

Innovation Data Technical Review Artificial Inteligence 83

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

CIO

FEBRUARY 21, 2023

For Heineken’s global CIO Ing Yan Ong, the journey to keep a historic beer brand relevant starts with simplifying ERP, adopting agile methodologies and rethinking customer and supplier relationships in an age of digital analytics and personalized communications.

Agile 264

Agile Artificial Inteligence Artificial Intelligence SCRUM 264

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

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 Sustainability 52

OTS Solutions

JUNE 16, 2023

For example, cloud computing, artificial intelligence, and the Internet of Things (IoT) have the potential to transform how companies operate and deliver services to their applications, businesses can leverage these technologies to improve efficiency and stay competitive.

Artificial Inteligence 130

Artificial Inteligence How To Technical Review Software Review 130

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

OTS Solutions

JUNE 16, 2023

For example, cloud computing, artificial intelligence, and the Internet of Things (IoT) have the potential to transform how companies operate and deliver services to their applications, businesses can leverage these technologies to improve efficiency and stay competitive.

Artificial Inteligence 130

Artificial Inteligence How To Technical Review Software Review 130

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