CIO

DECEMBER 22, 2022

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. DataOps goals According to Dataversity , the goal of DataOps is to streamline the design, development, and maintenance of applications based on data and data analytics. What is DataOps?

Analytics 325

Analytics Data Engineering Machine Learning Artificial Inteligence 325

Hacker Earth Developers Blog

DECEMBER 26, 2018

Banks have always been custodian of customer data, but they lack the technological and analytical capability to derive value from the data. On the other hand, fintech companies have the analytical capabilities and, thanks to payments services directives, they now have access to valuable data. Impact areas. Source: McKinsey.

Machine Learning 202

Machine Learning Artificial Inteligence Banking Analytics 202

CIO

JANUARY 19, 2024

Whether you’re looking to earn a certification from an accredited university, gain experience as a new grad, hone vendor-specific skills, or demonstrate your knowledge of data analytics, the following certifications (presented in alphabetical order) will work for you. Check out our list of top big data and data analytics certifications.)

Artificial Inteligence 318

Artificial Inteligence Data Machine Learning Azure 318

CIO

APRIL 26, 2023

What’s not often discussed, however, are the mistakes IT leaders make when establishing and supervising training programs, particularly when training is viewed as little more than an obligatory task. Is your organization giving its teams the training they need to keep pace with the latest industry developments?

Training 260

Training Technical Advisors Artificial Inteligence Fractional CTO 260

CIO

JUNE 30, 2023

This doesn’t mean the cloud is a poor option for data analytics projects. Data analytics workloads can be especially unpredictable because of the large data volumes involved and the extensive time required to train machine learning (ML) models.

Analytics 245

Analytics Cloud Data Government 245

CIO

AUGUST 25, 2023

Hot Melt Optimization employs a proprietary data collection method using proprietary sensors on the assembly line, which, when combined with Microsoft’s predictive analytics and Azure cloud for manufacturing, enables P&G to produce perfect diapers by reducing loss due to damage during the manufacturing process.

IoT 246

IoT Analytics Artificial Inteligence Software Review 246

Perficient

FEBRUARY 27, 2023

Machine learning is now being used all around the world and its helping analytics team greatly in saving costs and improving business decisions. A Machine learning project starts with Raw data and Ends with a web application that can predict outcomes and generate insights from raw data.

Machine Learning 64

Machine Learning Artificial Inteligence Training Metrics 64

Exadel

JULY 6, 2022

The banking landscape is constantly changing, and the application of machine learning in banking is arguably still in its early stages. Machine learning solutions are already rooted in the finance and banking industry. Machine learning solutions are already rooted in the finance and banking industry.

Artificial Inteligence 140

Artificial Inteligence Machine Learning Banking Fintech 140

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

CIO

OCTOBER 13, 2023

A recent survey of senior IT professionals from Foundry found that 57% of IT organizations have identified several areas for gen AI use cases, 25% have started pilot programs, and 41% are engaged in training and upskilling employees on gen AI.

Generative AI 359

Generative AI Company Machine Learning Artificial Inteligence 359

Cloudera

APRIL 9, 2021

And this blog will focus on Predictive Analytics. Specifically, we’ll focus on training Machine Learning (ML) models to forecast ECC part production demand across all of its factories. Predictive Analytics – AI & machine learning. Typical machine learning workflow within Cloudera Machine Learning.

Machine Learning 98

Machine Learning Artificial Inteligence Data Data Engineering 98

CIO

FEBRUARY 2, 2024

Traditional Analytics: Organizations have been using analytical business intelligence (BI) for the last four decades, but the name shifted to analytics as the technology became more sophisticated and advanced. Generally speaking, analytics looks backward to unearth insights about what happened in the past.

Generative AI 357

Generative AI Artificial Inteligence Artificial Intelligence ChatGPT 357

Cloudera

DECEMBER 8, 2020

You can read it online here: Federated Learning. Federated Learning is a paradigm in which machine learning models are trained on decentralized data. The trained models are transferred to a central server and combined. However, it is an important tool in the private machine learning toolkit.

Machine Learning 85

Machine Learning Artificial Inteligence Data Conference 85

CIO

FEBRUARY 5, 2024

Traditional Analytics: Organizations have been using analytical business intelligence (BI) for the last four decades, but the name shifted to analytics as the technology became more sophisticated and advanced. Generally speaking, analytics looks backward to unearth insights about what happened in the past.

Generative AI 352

Generative AI Artificial Inteligence Artificial Intelligence ChatGPT 352

CIO

JULY 28, 2022

“We try to be data-driven in our decisions so we have a great need for analytics skill sets. … Companies are struggling to hire true data scientists — the ones trained and experienced enough to work on complex and difficult problems that might have never been solved before. These people are making up a data science support system.

Data 359

Data Machine Learning Artificial Inteligence Fractional CTO 359

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. At the same time, keep in mind that neither of those and other audio files can be fed directly to machine learning models.

Machine Learning 122

Machine Learning Artificial Inteligence Analysis Energy 122

O'Reilly Media - Data

APRIL 3, 2018

The growing role of data and machine learning cuts across domains and industries. Companies continue to use data to improve decision-making (business intelligence and analytics) and for automation (machine learning and AI). Data Science and Machine Learning sessions will cover tools, techniques, and case studies.

Machine Learning 155

Machine Learning Artificial Inteligence Company Case Study 155

CIO

APRIL 12, 2023

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. Sound familiar?) It isn’t easy. A unified data ecosystem enables this in real time.

Artificial Inteligence 349

Artificial Inteligence Artificial Intelligence Machine Learning Agile 349

CIO

MARCH 15, 2024

There is no doubt that Dr. Plumb’s technical expertise and strategic acumen will enhance the CDAO’s innovative efforts, and help accelerate the DOD’s adoption of data, analytics, and AI to generate decision advantage from the boardroom to the battlefield,” Secretary of Defense Lloyd Austin said in a statement.

Artificial Inteligence 309

Artificial Inteligence Artificial Intelligence Big Data Analytics 309

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 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

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 Machine Learning? Machine Learning delivers on this need.

Artificial Inteligence 98

Artificial Inteligence Machine Learning IoT Internet 98

O'Reilly Media - Data

JULY 23, 2018

Interest in machine learning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. Machine Learning in the enterprise". Scalable Machine Learning for Data Cleaning.

Machine Learning 120

Machine Learning Artificial Inteligence How To Case Study 120

Openxcell

APRIL 21, 2023

In today’s fast-paced world, Machine Learning is quickly changing the way various industries and our daily lives function. This engaging blog post dives into the exciting world of Machine Learning, shedding light on what it is, why it matters, its history, types, core principles, and applications.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Training Performance 52

O'Reilly Media - Data

AUGUST 7, 2018

New survey results highlight the ways organizations are handling machine learning's move to the mainstream. As machine learning has become more widely adopted by businesses, O’Reilly set out to survey our audience to learn more about how companies approach this work. What metrics are used to evaluate success?

Machine Learning 144

Machine Learning Artificial Inteligence Survey Company 144

Cloudera

OCTOBER 3, 2022

You’ve found an awesome data set that you think will allow you to train a machine learning (ML) model that will accomplish the project goals; the only problem is the data is too big to fit in the compute environment that you’re using. <end code block> Launching workers in Cloudera Machine Learning.

Machine Learning 90

Machine Learning Artificial Inteligence How To Software Review 90

Openxcell

APRIL 7, 2023

Machine Learning has noticed rapid growth—resulting in the creation of numerous tools and platforms for creating, evaluating, and deploying Machine Learning Models. The most popular Machine Learning tools have earned wide adoption in different industry settings and have active user and contributor groups.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Tools Artificial Intelligence 52

Perficient

MARCH 5, 2024

Today, we’re diving headfirst into the world of advanced reporting and analytics in Salesforce, with a special focus on leveraging Einstein Analytics to unlock the full potential of your data. Introducing Einstein Analytics So, what exactly is Einstein Analytics?

Analytics 59

Analytics Report Artificial Inteligence Artificial Intelligence 59

O'Reilly Media - Ideas

JANUARY 31, 2019

In this episode of the Data Show , I spoke with Maryam Jahanshahi , research scientist at TapRecruit, a startup that uses machine learning and analytics to help companies recruit more effectively. Many companies are exploring a variety of internal and external programs to train staff on new tools and processes.

Machine Learning 76

Machine Learning Artificial Inteligence Analytics Recruiting 76

CIO

OCTOBER 19, 2023

Power BI is Microsoft’s interactive data visualization and analytics tool for business intelligence (BI). You can also use Power BI to prepare and manage high-quality data to use across the business in other tools, from low-code apps to machine learning.

Artificial Inteligence 312

Artificial Inteligence Azure Machine Learning Metrics 312

Altexsoft

JUNE 29, 2021

In a world fueled by disruptive technologies, no wonder businesses heavily rely on machine learning. Google, in turn, uses the Google Neural Machine Translation (GNMT) system, powered by ML, reducing error rates by up to 60 percent. The role of a machine learning engineer in the data science team.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

TechCrunch

NOVEMBER 4, 2021

Last time I talked with Gwoop co-founder Gavin Lee, he was already hinting at dreams of being the go-to analytics/training tool for the increasing number of high school esports teams. Over the last few months the company has been building out “Gwoop Teams,” which, as the name implies, is built for groups training together.

Games 188

Games Training Coaching Machine Learning 188

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

Cloudera

OCTOBER 14, 2020

To maximize safety for all passengers and crew members, while also delivering profits, airlines have heavily invested in predictive analytics to gain insight on the most cost-effective way to maintain real-time engine performance. Step 1: Using the training data to create a model/classifier. The Process. Fig 1: Turbofan jet engine.

Machine Learning 97

Machine Learning Artificial Inteligence Engineering Airlines 97

O'Reilly Media - Data

JULY 18, 2018

In the early phases of adopting machine learning (ML), companies focus on making sure they have sufficient amount of labeled (training) data for the applications they want to tackle. We also know exactly how much it costs to build training data sets from scratch.

Machine Learning 137

Machine Learning Artificial Inteligence Data Marketing 137

TechCrunch

MARCH 16, 2022

TruEra , a startup that offers an AI quality management solution to optimize, explain and monitor machine learning models, today announced that it has raised a $25 million Series B round led by Menlo Ventures. “If I were the machine learning data scientist, what would I want to use?

Artificial Inteligence 218

Artificial Inteligence Analytics Machine Learning Software Development 218

TechCrunch

JUNE 14, 2021

If you’re not familiar with Dataiku, the platform lets you turn raw data into advanced analytics, run some data visualization tasks, create data-backed dashboards and train machine learning models. In particular, Dataiku can be used by data scientists, but also business analysts and less technical people.

Enterprise 334

Enterprise Company Artificial Inteligence Machine Learning 334

CIO

FEBRUARY 9, 2024

Digital Athlete is a platform that leverages AI and machine learning (ML) to predict from plays and body positions which players are at the highest risk of injury. Risk Mitigation Modeling can then be used to analyze training data and determine a player’s ideal training volume while minimizing injury risk.

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Artificial Inteligence Sport Artificial Intelligence Games 334