Altexsoft

JULY 23, 2020

When speaking of machine learning, we typically discuss data preparation or model building. The fusion of terms “machine learning” and “operations”, MLOps is a set of methods to automate the lifecycle of machine learning algorithms in production — from initial model training to deployment to retraining against new data.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

O'Reilly Media - Data

OCTOBER 31, 2019

Theodore Summe offers a glimpse into how Twitter employs machine learning throughout its product. Anna Roth discusses human and technical factors and suggests future directions for training machine learning models. Watch “ TensorFlow.js: Bringing machine learning to JavaScript “ MLIR: Accelerating AI.

Artificial Inteligence 246

Artificial Inteligence Machine Learning IoT Open Source 246

Openxcell

MARCH 30, 2023

From human genome mapping to Big Data Analytics, Artificial Intelligence (AI),Machine Learning, Blockchain, Mobile digital Platforms (Digital Streets, towns and villages),Social Networks and Business, Virtual reality and so much more. What is IoT or Internet of Things? What is Machine Learning?

Artificial Inteligence 98

Artificial Inteligence Machine Learning IoT Internet 98

G2 Crowd Software

MARCH 20, 2018

anytime soon, but machine learning and deep learning are gaining a large amount of traction, and are becoming borderline essential in the business world. For most people, these terms are alienating because many people don’t have an understanding of what machine learning and deep learning are.

Artificial Inteligence 98

Artificial Inteligence Machine Learning Artificial Intelligence .Net 98

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

AWS Machine Learning - AI

NOVEMBER 1, 2024

Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI , allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. The TAT-QA dataset has been divided into train (28,832 rows), dev (3,632 rows), and test (3,572 rows).

Artificial Inteligence 97

Artificial Inteligence Generative AI Training Metrics 97

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 The number of active IoT connections is expected to double by 2025, jumping from the current 9.9

IoT 141

IoT Azure AWS Transportation 141

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

MARCH 26, 2025

Implementing robust security measures such as encryption, regular security audits, and employee training, and partnerships with legal experts can help ensure adherence. For Kopal Raj, India CIO and VP IT of WABTEC, the motto is preventing the breach of sensitive information.

CTO Coach 99

CTO Coach Technical Advisors IoT Sustainability 99

CIO

AUGUST 25, 2023

En route to one of those plants in Missouri, Kietermeyer explained to CIO.com that the combination IoT and edge platform, sensors, and edge analytics rules engine have been successfully employed to address pressure and temperature anomalies and the valve hardware issues that can occur in the diaper-making process.

IoT 148

IoT Analytics Artificial Inteligence Weak Development Team 148

Cloudera

AUGUST 28, 2020

The real opportunity for 5G however is going to be on the B2B side, IoT and mission-critical applications will benefit hugely. What that means is that this creates new revenue opportunities through IoT case uses and new services. 5G and IoT are going to drive an explosion in data. This is the next big opportunity for telcos.

IoT 110

IoT Industry Artificial Inteligence Machine Learning 110

TechCrunch

SEPTEMBER 21, 2021

Aerial and satellite imagery and IoT-infused sensors for things like moisture and nitrogen have made surface-level data for fields far richer, but past the first foot or so things get tricky. Machine learning is at the heart of the company’s pair of tools, GroundOwl and C-Mapper (C as in carbon). The $10.3M

Big Data 234

Big Data Data Chemicals Artificial Inteligence 234

AWS Machine Learning - AI

MAY 1, 2025

Refer to Supported models and Regions for fine-tuning and continued pre-training for updates on Regional availability and quotas. The required training dataset (and optional validation dataset) prepared and stored in Amazon Simple Storage Service (Amazon S3). As of writing this post, Meta Llama 3.2

Generative AI 77

Generative AI AWS Artificial Inteligence Training 77

TechCrunch

OCTOBER 7, 2021

Increasingly, conversations about big data, machine learning and artificial intelligence are going hand-in-hand with conversations about privacy and data protection. They could see that the longer-term issue would be a growing need and priority for data privacy. But humans are not meant to be mined.”

Artificial Inteligence 246

Artificial Inteligence Engineering Technical Review Data 246

CIO

NOVEMBER 7, 2022

CIOs seeking big wins in high business-impacting areas where there’s significant room to improve performance should review their data science, machine learning (ML), and AI projects. Are they ready to transform business processes with machine learning capabilities, or will they slow down investments at the first speed bump?

Artificial Inteligence 193

Artificial Inteligence Machine Learning Artificial Intelligence Technical Review 193

O'Reilly Media - Ideas

DECEMBER 5, 2018

Get hands-on training in Kubernetes, machine learning, blockchain, Python, management, and many other topics. Learn new topics and refine your skills with more than 120 new live online training courses we opened up for January and February on our online learning platform. Blockchain.

Course 111

Course Artificial Inteligence Training Blockchain 111

CTOvision

JANUARY 23, 2015

Editor''s note: Allen Bonde, of embedded analytics leader Actuate (now a subsidiary of OpenText), believes that the opportunities around Big Data, Internet of Things (IoT) and wearables are about to change our world – and that of business applications. - Look beyond the IoT buzz. By Allen Bonde. billion mark.

IoT 125

IoT Big Data Artificial Inteligence Machine Learning 125

CIO

APRIL 12, 2024

These roles include data scientist, machine learning engineer, software engineer, research scientist, full-stack developer, deep learning engineer, software architect, and field programmable gate array (FPGA) engineer. It is used to execute and improve machine learning tasks such as NLP, computer vision, and deep learning.

Open Source 187

Open Source Artificial Inteligence Machine Learning Generative AI 187

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

OCTOBER 18, 2023

German healthcare company Fresenius Medical Care, which specializes in providing kidney dialysis services, is using a combination of near real-time IoT data and clinical data to predict one of the most common complications of the procedure. CIO 100, Digital Transformation, Healthcare Industry, Predictive Analytics

Artificial Inteligence 200

Artificial Inteligence Analytics Machine Learning Artificial Intelligence 200

ParkMyCloud

DECEMBER 11, 2020

If you’re looking to break into the cloud computing space, or just continue growing your skills and knowledge, there are an abundance of resources out there to help you get started, including free Google Cloud training. If you know where to look, open-source learning is a great way to get familiar with different cloud service providers. .

Google Cloud 97

Google Cloud Training Resources Cloud 97

Altexsoft

APRIL 13, 2021

To compete, insurance companies revolutionize the industry using AI, IoT, and big data. But it does need more advanced approaches that mimic human perception and judgment like AI, Machine Learning, and ML-based Robotic Process Automation. Hire machine learning specialists on the team. Of course, not.

Artificial Inteligence 87

Artificial Inteligence Machine Learning Insurance Technical Review 87

Altexsoft

MARCH 30, 2020

Major cons: the need for organizational changes, large investments in hardware, software, expertise, and staff training. 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.

Artificial Inteligence 72

Artificial Inteligence Machine Learning Technical Review IoT 72

CIO

JANUARY 24, 2024

Classical machine learning: Patterns, predictions, and decisions Classical machine learning is the proven backbone of pattern recognition, business intelligence, and rules-based decision-making; it produces explainable results. Don’t use generative AI for a problem that classical machine learning has already solved.

Artificial Inteligence 168

Artificial Inteligence Generative AI ChatGPT Machine Learning 168

O'Reilly Media - Ideas

FEBRUARY 6, 2019

Get hands-on training in machine learning, microservices, blockchain, Python, Java, and many other topics. Learn new topics and refine your skills with more than 170 new live online training courses we opened up for March and April on the O'Reilly online learning platform. AI and machine learning.

Artificial Inteligence 17

Artificial Inteligence Course Training Artificial Intelligence 17

Cloudera

OCTOBER 13, 2021

Imagine if you had to explain what machine learning is and how to use it. Cloudera produced a series of ebooks — Production Machine Learning For Dummies , Apache NiFi For Dummies , and Apache Flink For Dummies (coming soon) — to help simplify even the most complex tech topics. There’s no need to panic.

Artificial Inteligence 75

Artificial Inteligence Machine Learning Data eBook 75

CIO

DECEMBER 1, 2022

The company is also refining its data analytics operations, and it is deploying advanced manufacturing using IoT devices, as well as AI-enhanced robotics. We expect within the next three years, the majority of our applications will be moved to the cloud.” What we are trying to do is operationalize all our analytics and algorithmic libraries.”

Analytics 217

Analytics KPI IoT Azure 217

Altexsoft

AUGUST 9, 2019

Let’s examine one of the most cutting-edge technologies out there – machine learning – and how the need for reliable, cost-efficient processing power has facilitated the development of software-defined networking. Artificial Intelligence and Machine Learning. Why Machine Learning Needs SD-WAN.

Artificial Inteligence 13

Artificial Inteligence WAN Machine Learning Artificial Intelligence 13

CIO

MAY 16, 2024

But Parameswaran aims to parlay his expertise in analytics and AI to enact real-time inventory management and deploy IoT technologies such as sensors and trackers on industrial automation equipment and delivery trucks to accelerate procurement, inventory management, packaging, and delivery.

Artificial Inteligence 156

Artificial Inteligence IoT Transportation Analytics 156

Cloudera

DECEMBER 7, 2022

The data innovation that I was most excited to learn about though is the implementation of a human-in-the-loop (HITL) machine learning (ML) solution to assist referees in more accurately calling offsides. What is human-in-the-loop machine learning? A world-class machine learning solution.

Artificial Inteligence 73

Artificial Inteligence Machine Learning Systems Review Technical Review 73

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 174

Artificial Inteligence Strategy Data Machine Learning 174

AWS Machine Learning - AI

APRIL 1, 2025

Through MCP, general-purpose LLMs can now seamlessly access relevant knowledge beyond initial training data and be effectively steered towards desired outputs by incorporating specific context and best practices. Laith Al-Saadoon is a Principal Prototyping Architect on the Prototyping and Cloud Engineering (PACE) team.

AWS 119

AWS Software Review Knowledge Base Artificial Inteligence 119

TechCrunch

JANUARY 25, 2022

Grandeur Technologies: Pitching itself as “Firebase for IoT,” they’re building a suite of tools that lets developers focus more on the hardware and less on things like data storage or user authentication. Kanari AI: Training speech recognition models to better recognize different dialects of the same language.

Company 219

Company Software Review Systems Review Technical Review 219

O'Reilly Media - Ideas

JANUARY 8, 2019

From infrastructure to tools to training, Ben Lorica looks at what’s ahead for data. Increasing focus on building data culture, organization, and training. 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.

Trends 109

Trends Data Artificial Inteligence Machine Learning 109

OTS Solutions

DECEMBER 12, 2023

Overview of AI in the Manufacturing Industry AI technologies, such as machine learning and robotic process automation, can enhance manufacturing operations by increasing efficiency, improving quality control, and reducing costs. AI-powered robots can perform repetitive and dangerous tasks, minimizing human intervention.

Artificial Inteligence 130

Artificial Inteligence Industry Artificial Intelligence Machine Learning 130

CIO

OCTOBER 1, 2022

The company has already undertaken pilot projects in Egypt, India, Japan, and the US that use Azure IoT Hub and IoT Edge to help manufacturing technicians analyze insights to create improvements in the production of baby care and paper products. These things have not been done at this scale in the manufacturing space to date, he says.

Artificial Inteligence 218

Artificial Inteligence Azure IoT Analytics 218

CIO

NOVEMBER 17, 2023

This is achieved through efficiencies of scale, as an MSP can often hire specialists that smaller enterprises may not be able to justify, and through automation, artificial intelligence, and machine learning — technologies that client companies may not have the expertise to implement themselves. Take, for example, legacy systems.

Technical Review 195

Technical Review Artificial Inteligence Systems Review Disaster Recovery 195