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.

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Artificial Inteligence Machine Learning DevOps Tools 145

TechCrunch

JANUARY 10, 2023

In partnership with AiFi , a startup that aims to enable retailers to deploy autonomous shopping tech cost-effectively, Microsoft today launched a preview of a cloud service called Smart Store Analytics. It might sound like a lot of personal data Smart Store Analytics is collecting. The average Go store generates an estimated $1.5

Analytics 241

Analytics Retail Sport Azure 241

CIO

MARCH 21, 2022

Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. What is a data scientist? Data scientist job description.

Analytics 205

Analytics Data Technical Review Analysis 205

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.)

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Artificial Inteligence Data Machine Learning Azure 190

CIO

APRIL 8, 2024

Nearly 10 years ago, Bill James, a pioneer in sports analytics methodology, said if there’s one thing he wished more people understood about sabermetrics, pertaining to baseball, it’s that the data is not the point. Computer vision, AI, and machine learning (ML) all now play a role.

Sport 177

Sport Games Analytics Artificial Inteligence 177

CIO

AUGUST 9, 2024

At Atlanta’s Hartsfield-Jackson International Airport, an IT pilot has led to a wholesale data journey destined to transform operations at the world’s busiest airport, fueled by machine learning and generative AI. That enables the analytics team using Power BI to create a single visualization for the GM.”

Artificial Inteligence 190

Artificial Inteligence Data Machine Learning Azure 190

TechCrunch

OCTOBER 28, 2020

The second was analytics company Drastin, which got acquired by Splunk in 2017 , and the third was the AI-driven educational platform SelectQ, which Thinker acquired this April. He also holds 15 patents related to machine learning, analytics and natural language processing.

Business Intelligence 346

Business Intelligence Artificial Inteligence Machine Learning Azure 346

CIO

OCTOBER 31, 2024

While the BPM team reduced 1,600 legacy systems to 340, the IT team created a technological standard with, for instance, the migration of 300 servers holding over 700TB of data to Microsoft Azure.

Groups 133

Groups Systems Review Technical Review Serverless 133

CIO

SEPTEMBER 10, 2024

In September last year, the company started collocating its Oracle database hardware (including Oracle Exadata) and software in Microsoft Azure data centers , giving customers direct access to Oracle database services running on Oracle Cloud Infrastructure (OCI) via Azure.

AWS 218

AWS Azure Database Administration Google Cloud 218

CIO

APRIL 2, 2025

The spectrum is broad, ranging from process automation using machine learning models to setting up chatbots and performing complex analyses using deep learning methods. These include: Analytical and structured thinking. However, the definition of AI consulting goes beyond the purely technical perspective. Communication.

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Artificial Inteligence Technical Advisors Artificial Intelligence Automotive 120

TechCrunch

FEBRUARY 17, 2021

TigerGraph , a well-funded enterprise startup that provides a graph database and analytics platform, today announced that it has raised a $105 million Series C funding round. “This funding will allow us to expand our offering and bring it to many more markets, enabling more customers to realize the benefits of graph analytics and AI.”

Enterprise 217

Enterprise Artificial Inteligence Machine Learning Analytics 217

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 190

Artificial Inteligence Azure Machine Learning Metrics 190

AWS Machine Learning - AI

NOVEMBER 15, 2024

With the QnABot on AWS (QnABot), integrated with Microsoft Azure Entra ID access controls, Principal launched an intelligent self-service solution rooted in generative AI. By integrating QnABot with Azure Active Directory, Principal facilitated single sign-on capabilities and role-based access controls.

Generative AI 111

Generative AI AWS Groups Artificial Inteligence 111

Altexsoft

MAY 20, 2020

Source: IoT Analytics. Source: IoT Analytics. Microsoft Azure IoT. AWS IoT Analytics. The core intelligent solution, AWS IoT Analytics , automatically collects and cleans data before transmitting it to a time-series storage for further analysis. IoT Analytics has templates to build predictive maintenance models.

IoT 141

IoT Azure AWS Transportation 141

DataRobot

JULY 21, 2022

Download the Machine Learning Project Checklist. Planning Machine Learning Projects. Machine learning and AI empower organizations to analyze data, discover insights, and drive decision making from troves of data. More organizations are investing in machine learning than ever before.

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Artificial Inteligence Machine Learning Development Team Review Software Review 98

Tenable

JUNE 3, 2024

Azure customers whose firewall rules rely on Azure Service Tags, pay attention: You could be at risk due to a vulnerability detected by Tenable Research. Here’s what you need to know to determine if you’re affected, and if so, what you should do right away to protect your Azure environment from attackers.

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Firewall Azure Technical Advisors Authentication 143

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.

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Artificial Inteligence Machine Learning Engineering Data Engineering 105

Mentormate

MAY 31, 2023

In this article, we will discuss how MentorMate and our partner eLumen leveraged natural language processing (NLP) and machine learning (ML) for data-driven decision-making to tame the curriculum beast in higher education. High-level architecture of Insights’ data and analytics architecture.

Artificial Inteligence 98

Artificial Inteligence Machine Learning Education Analytics 98

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 148

IoT Analytics Artificial Inteligence Weak Development Team 148

CIO

DECEMBER 19, 2024

In especially high demand are IT pros with software development, data science and machine learning skills. Agritech firms are hiring IoT and AI experts to streamline farming think smart irrigation and predictive crop analytics. In the U.S.,

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Artificial Inteligence Sustainability Energy IoT 78

CIO

APRIL 22, 2022

Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. Data science vs. data analytics. While closely related, data analytics is a component of data science, used to understand what an organization’s data looks like.

Data 210

Data Artificial Inteligence Machine Learning Analytics 210

UruIT

JULY 23, 2019

Most recommended development and deployment platforms for machine learning projects. Are you getting started with Machine Learning? There’s a forecasted demand for Machine Learning among all kinds of industries. Innovative machine learning products and services on a trusted platform.

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Artificial Inteligence Machine Learning Azure Software Review 81

Kaseya

MAY 13, 2021

In this blog, we’ll compare the three leading public cloud providers, namely Amazon Web Services (AWS), Microsoft Azure and Google Cloud. Microsoft Azure Overview. According to Forbes, 63% of enterprises are currently running apps on Azure. What Are the Advantages of Azure Cloud? Analytics and Intelligence Capabilities.

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Google Cloud Azure AWS Cloud 122

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. They also use tools like Amazon Web Services and Microsoft Azure. Blockchain Engineer.

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Artificial Inteligence Blockchain Software Review Artificial Intelligence 290

CIO

MAY 30, 2024

You’ll be tested on your knowledge of generative models, neural networks, and advanced machine learning techniques. Cost : Free Microsoft Azure AI Fundamentals: Generative AI The Microsoft Azure AI Fundamentals: Generative AI training is a self-paced learning path to help you get started with generative AI.

Generative AI 206

Generative AI Artificial Inteligence Programming Azure 206

CIO

DECEMBER 1, 2023

Since its origins in the early 1970s, LexisNexis and its portfolio of legal and business data and analytics services have faced competitive threats heralded by the rise of the Internet, Google Search, and open source software — and now perhaps its most formidable adversary yet: generative AI, Reihl notes. “We We use AWS and Azure.

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Generative AI Artificial Inteligence ChatGPT Azure 193

Datavail

AUGUST 3, 2021

As the war for cloud customers continues between ‘as a service’ vendors both large and small, Microsoft Azure continues to maintain its stronghold. From Oracle EBS to JD Edwards to PeopleSoft, Azure can support the critical applications that drive your business in a hybrid or fully cloud hosted environment. 5) Analytics & Insights.

Azure 98

Azure Disaster Recovery Applications Artificial Inteligence 98

Mentormate

APRIL 13, 2021

It takes many different resources, deployment methods, and tools in Azure to get an application working just the way you want it. Building observability in Azure brings your application sustainability, increased visibility, and could even lead to a better user experience. Azure Monitor. Query data with Log Analytics and KQL.

Azure 98

Azure Tools Artificial Inteligence Machine Learning 98

CIO

DECEMBER 1, 2022

To date the company has moved 5,000 applications to Microsoft Azure as it applies predictive analytics , AI, robotics, and process automation in many of its business operations. The company is also refining its data analytics operations, and it is deploying advanced manufacturing using IoT devices, as well as AI-enhanced robotics.

Analytics 217

Analytics IoT KPI Azure 217

Cloudera

SEPTEMBER 29, 2020

In this blog post, we compare Cloudera Data Warehouse (CDW) on Cloudera Data Platform (CDP) using Apache Hive-LLAP to Microsoft HDInsight (also powered by Apache Hive-LLAP) on Azure using the TPC-DS 2.9 CDW is an analytic offering for Cloudera Data Platform (CDP). You can easily set up CDP on Azure using scripts here.

Azure 120

Azure Data Comparison Virtualization 120

UruIT

APRIL 27, 2020

And whether you’re a novice or an expert, in the field of technology or finance, medicine or retail, machine learning is revolutionizing your industry and doing it at a rapid pace. You may recognize the ways that Machine Learning can improve your life and work but may not know how to implement it in your own company.

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Artificial Inteligence Machine Learning Azure Software Review 78

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.

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Artificial Inteligence Azure IoT Analytics 218

CIO

JULY 8, 2022

Wolverine, which Slater says relies on SAP and Microsoft for its core infrastructure, is now “well along the journey in supply chain data” using SAP SAC analytics but has yet to embark on other aspects of its digital transformation, such as building a data lake and embracing AI, she says. We are not currently doing that.”.

Cloud 178

Cloud Azure Artificial Inteligence Machine Learning 178

Cloudera

JANUARY 7, 2025

A prominent public health organization integrated data from multiple regional health entities within a hybrid multi-cloud environment (AWS, Azure, and on-premise). This transition streamlined data analytics workflows to accommodate significant growth in data volumes.

Cloud 82

Cloud Data Scalability Compliance 82

CIO

SEPTEMBER 2, 2024

Ora che l’ intelligenza artificiale è diventata una sorta di mantra aziendale, anche la valorizzazione dei Big Data entra nella sfera di applicazione del machine learning e della GenAI. Come partner abbiamo scelto Microsoft e la tecnologia di Azure OpenAI. Nel primo caso, non si tratta di una novità assoluta.

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Artificial Inteligence Azure Machine Learning Generative AI 173

CIO

NOVEMBER 4, 2022

Rigid requirements to ensure the accuracy of data and veracity of scientific formulas as well as machine learning algorithms and data tools are common in modern laboratories. As you go up the stack, different data analytics come into play, such as DataIQ. And to do this, a move to the cloud was essential.

Pharmaceuticals 187

Pharmaceuticals Technical Review AWS Artificial Inteligence 187

CIO

AUGUST 18, 2022

To find out, he queried Walgreens’ data lakehouse, implemented with Databricks technology on Microsoft Azure. “We Those challenges are well-known to many organizations as they have sought to obtain analytical knowledge from their vast amounts of data. We leveraged the lakehouse to understand the moment,” the CIO says.

Data 210

Data Technical Advisors Technical Review Artificial Inteligence 210