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

FEBRUARY 16, 2024

-based company migrated to AWS in lockstep with Amazon’s earliest code releases a decade ago, even as the $18 billion payroll giant continued to build a hybrid cloud infrastructure that also incorporates Azure, Google Cloud Platform, and Cisco Cloud workloads. There’s a brand-new wave of digital transformation that’s coming,” he says.

Cloud 290

Cloud Generative AI AWS Azure 290

Data Virtualization

JANUARY 19, 2023

Reading Time: 2 minutes Today, many businesses are modernizing their on-premises data warehouses or cloud-based data lakes using Microsoft Azure Synapse Analytics. Whether or not they begin with on-premises systems, such modernization efforts often involve the implementation of hybrid configurations. Unfortunately, with data spread.

Azure 52

Azure Architecture Analytics Data 52

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

Altexsoft

SEPTEMBER 28, 2023

Atlanta, GA – September 28, 2023 – AltexSoft, a Technology Consulting firm, is pleased to announce that multiple team members have secured certifications from Amazon Web Services (AWS) and Microsoft Azure over the past six months. AWS offers over 200 fully featured computing, storage, database, network, and analytics services.

Azure 52

Azure AWS Artificial Inteligence Artificial Intelligence 52

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.

Artificial Inteligence 81

Artificial Inteligence Machine Learning Azure Software Review 81

Mobilunity

APRIL 29, 2024

If you also consider releasing an app for banking and finance, you’ll need to find ASP,NET Core, and MS Azure engineers. As for technologies, many companies and startups prefer NET Core, ASP, and Microsoft Azure in banking and financial services. Let’s explore the advantages of.NET and Azure technologies.

.Net 52

.Net Azure Banking Fintech 52

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

CIO

NOVEMBER 8, 2023

“We had to make [that] investment to leverage AI and machine learning models for different analytical capabilities across the entire company,” Kay says. It has also implemented chatbots, developed machine learning models using Databricks, and is dipping its toes into generative AI.

Technical Review 311

Technical Review Software Review Generative AI Machine Learning 311

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.

Artificial Inteligence 78

Artificial Inteligence Machine Learning Azure Software Review 78

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

CIO

JANUARY 17, 2024

Reporting standardization One of Ipsos’ latest digital transformation-related projects is the move of its reporting and analytics to a standard digital delivery platform. We rely on cloud-scale technologies and proprietary data science and analytics engines built on open standards to handle massive data sets,” says Mohammed.

Artificial Inteligence 299

Artificial Inteligence Artificial Intelligence Analysis Azure 299

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 361

Analytics KPI IoT Azure 361

CIO

FEBRUARY 6, 2023

Other key resources that benefit the customer experience include BI and analytics for anything from actuarial pricing to risk selection and customer intelligence, the CIO says. We’re doing a lot on AI and machine learning and robotics. For example, digital customers may use biometric login with Touch ID and Face ID for security.

Insurance 330

Insurance Artificial Inteligence Machine Learning Virtualization 330

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 363

Artificial Inteligence Azure IoT Analytics 363

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.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

CIO

AUGUST 2, 2022

Fueled by enterprise demand for data analytics , machine learning , data center consolidation and cloud-native app developmen t, spending on cloud infrastructure services jumped 33% year on year to $62.3 billion in the second quarter, according to Canalys. billion out of $62.3 Cloud Computing, Technology Industry

Infrastructure 290

Infrastructure AWS Cloud Azure 290

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

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

Tenable

JUNE 13, 2022

Since March 10, Tenable Research has attempted to work with Microsoft to address two serious flaws in the underlying infrastructure of Azure Synapse Analytics. Synapse Analytics is a platform used for machine learning, data aggregation and other computational work. Get more information.

Azure 52

Azure Technical Review Weak Development Team Analytics 52

Openxcell

MAY 12, 2023

Millions of dollars are spent each month on public cloud companies like Amazon Web Services, Microsoft Azure, and Google Cloud by companies of all sizes. In comparison of AWS, GCP, and Azure’s capabilities and maturity, AWS is now significantly larger than both Azure and Google Cloud Platform. What is AWS Cloud Platform?:

Google Cloud 52

Google Cloud Azure AWS Cloud 52

CIO

JULY 24, 2023

The country’s premier football division, LaLiga, is leveraging artificial intelligence and machine learning (ML) to deliver new insights to players and coaches, and to transform how fans enjoy and understand the game. Artificial Intelligence, Data Management, Innovation, IT Leadership, Machine Learning

Artificial Inteligence 246

Artificial Inteligence Artificial Intelligence Sport Coaching 246

Sunflower Lab

APRIL 2, 2024

That’s where predictive analytics with Power BI swoops in, taking center stage as a game-changer for CEO decision-making. This isn’t just a blog post; it’s a detailed guide that CEOs, Business Analysts, and Data Scientists need to weave predictive analytics seamlessly into the DNA of their organizations using Power BI.

Analytics 40

Analytics Machine Learning Artificial Inteligence Analysis 40

KitelyTech

FEBRUARY 15, 2023

With so many different options available, such as AWS, Azure, and Google Cloud, it is important to understand the differences between each platform and how they can best meet your business needs. Examples of cloud computing services are Amazon Web Service (AWS), Microsoft Azure, Google Cloud Platform, etc.

Google Cloud 52

Google Cloud Azure AWS Cloud 52

CIO

APRIL 4, 2024

Then, he decommissioned all 24 of the office’s legacy, in-house systems and migrated them to cloud platforms, including Salesforce CRM, Microsoft Azure, Office 365, AWS, and Box.com, enabling employees to securely access information from any device from anywhere.

Programming 279

Programming Artificial Inteligence Systems Review Generative AI 279

Altexsoft

APRIL 13, 2021

But it does need more advanced approaches that mimic human perception and judgment like AI, Machine Learning, and ML-based Robotic Process Automation. Smart claim triaging using predictive analytics. Here’s where predictive analytics can come in handy. Here’s where predictive analytics can come in handy.

Machine Learning 87

Machine Learning Artificial Inteligence Insurance Technical Review 87

CIO

OCTOBER 4, 2023

AI skills more valuable than certifications There were a couple of stand-outs among those.

Security 338

Security Artificial Inteligence Generative AI Blockchain 338

Perficient

APRIL 2, 2023

Alteryx: A Comprehensive Overview Alteryx is a leading data analytics platform that helps businesses and organizations of all sizes to turn raw data into actionable insights. This comprehensive platform includes data preparation, blending, and analytics capabilities, along with tools for data governance, collaboration, and automation.

Analytics 64

Analytics Artificial Inteligence Data Artificial Intelligence 64

CIO

DECEMBER 16, 2022

The top-earning skills were big data analytics and Ethereum, with a pay premium of 20% of base salary, both up 5.3% Other non-certified skills attracting a pay premium of 19% included data engineering , the Zachman Framework , Azure Key Vault and site reliability engineering (SRE). in the previous six months. since March. since March.

Technical Review 246

Technical Review Analytics AWS SCRUM 246

CIO

OCTOBER 21, 2022

Chipotle IT’s secret sauce Garner credits Chipotle’s wholly owned business model for enabling him to deploy advanced technologies such as the cloud, analytics, data lake, and AI uniformly to all restaurants because they are all based on the same digital backbone. Analytics, Artificial Intelligence, Cloud Computing, Digital Transformation

Cloud 363

Cloud Artificial Inteligence Azure Artificial Intelligence 363

Altexsoft

SEPTEMBER 19, 2023

Beyond its fundamental role in elevating customer experience, travel analytics has a valuable impact on revenue growth and cultivating a competitive edge. This article explores the influence of analytics on marketing strategies, revenue management, guest personalization, and other aspects of the travel industry.

Travel 52

Travel Analytics Examples Airlines 52

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 115

Azure Data Comparison Virtualization 115

CIO

OCTOBER 13, 2023

Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence. Communication and political savvy: Data architects need people skills.

Data 331

Data Database Administration Data Engineering Artificial Inteligence 331

CIO

FEBRUARY 23, 2024

Generative AI takes a front seat As for that AI strategy, American Honda’s deep experience with machine learning positions it well to capitalize on the next wave: generative AI. The ascendent rise of generative AI last year has applied pressure on CIOs across all industries to tap its potential.

Generative AI 306

Generative AI Innovation Automotive Technical Review 306

Sunflower Lab

APRIL 2, 2024

Power BI, a key business analytics service, leads a revolution in how companies use AI and machine learning to future-proof their operations. It’s a powerful business analytics service by Microsoft that goes beyond traditional BI. Think of Azure Machine Learning as a powerful AI workbench.

Artificial Inteligence 40

Artificial Inteligence Machine Learning Company Generative AI 40

CIO

JULY 10, 2023

Now, with the infrastructure side of its data house in order, the California-based company is envisioning a bold new future with AI and machine learning (ML) at its core. His role now encompasses responsibility for data engineering, analytics development, and the vehicle inventory and statistics & pricing teams.

Infrastructure 246

Infrastructure Artificial Inteligence Data Generative AI 246