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

d2iq

APRIL 27, 2022

Among the big trends AWS is highlighting at the Atlanta Summit are artificial intelligence (AI), machine learning (ML), analytics, business intelligence, modern applications based on containers, and the Internet of Things (IoT).These

AWS 59

AWS Artificial Inteligence Artificial Intelligence Trends 59

Altexsoft

JUNE 14, 2021

This is possible because their machine learning model is retrained almost daily. On top of that, the company uses big data analytics to quantify losses and predict risks by placing the client into a risk group and quoting a relevant premium. Your vision on personalization may not work for every business model.

Insurance 88

Insurance Machine Learning Artificial Inteligence Policies 88

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

Cloudera

AUGUST 28, 2018

From AI models that power retail customer decision engines to utility meter analysis that disables underperforming gas turbines, these finalists demonstrate how machine learning and analytics have become mission-critical to organizations around the world. Enterprise Machine Learning. TECHNICAL IMPACT.

Meeting 65

Meeting Data Technical Review Machine Learning 65

Altexsoft

FEBRUARY 8, 2021

These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development. Optimization opportunities offered by analytics.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Altexsoft

JANUARY 22, 2020

With the uprise of internet-of-things (IoT) devices, overall data volume increase, and engineering advancements in this field led to new ways of collecting, processing, and analysing data. As a result, it became possible to provide real-time analytics by processing streamed data. A complete guide to business intelligence and analytics.

Analytics 20

Analytics Data IoT Analysis 20

Cloudera

SEPTEMBER 12, 2018

The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Protect your Business: Voya Financial (nominated by AtScale , Cognizant , Collibra , Experian , Oracle , Real-Time Technology , StreamSets , and Syncsort ).

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Artificial Inteligence Data Machine Learning Pharmaceuticals 45

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

Actian

SEPTEMBER 17, 2019

The result is that these systems are not easily extended either for localized analytics and visualization, sharing data across local systems, or easily and securely exchanging data with modern backend systems for further analytics and visualization. Enabling history to support predicting the future with Artificial Intelligence.

Artificial Inteligence 40

Artificial Inteligence Data Artificial Intelligence IoT 40

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

APRIL 13, 2023

The annual IHS Markit Supply Chain Survey Report found that 63 percent of companies don’t have sufficient technology to approach their top priority optimization strategy, i.e., spend analytics (the situation within other strategic areas is similar). It also often includes analytics, reporting, and forecasting capabilities.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Mobilunity

DECEMBER 28, 2022

Machine Learning is a rapidly-growing field that is revolutionizing the way businesses work and collect data. The process of machine learning involves teaching computers to learn from data without being explicitly programmed. The Services That Machine Learning Engineers Can Offer. ML modeling.

Machine Learning 52

Machine Learning Artificial Inteligence Engineering How To 52

Altexsoft

JUNE 26, 2023

We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. It’s the first and essential stage of data-related activities and projects, including business intelligence , machine learning , and big data analytics. What is data collection?

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

Altexsoft

AUGUST 12, 2020

IoT solutions have become a regular part of our lives. A door automatically opens, a coffee machine starts grounding beans to make a perfect cup of espresso while you receive analytical reports based on fresh data from sensors miles away. This article describes IoT through its architecture, layer to layer.

IoT 140

IoT Architecture Wireless Transportation 140

Altexsoft

MAY 6, 2022

To allow for receiving live updates, they have to be connected into an IoT infrastructure. IoT is all about connectivity and real-time data (well, in our case it’s almost real-time; usually, measurements are made every few minutes). A typical IoT infrastructure for cold chains includes. Typical IoT architecture in cold chains.

Transportation 52

Transportation How To Pharmaceuticals Storage 52

N2Growth Blog

JANUARY 23, 2018

Jean-Louis later managed the business intelligence group for IRI, analyzing product performance to offer insights on pricing, advertising, and category management. Watson was being launched; there were many opportunities in analytics and big data,” Jean-Louis said. “I That was the big data of its era.”.

Innovation 65

Innovation Strategy Big Data Advertising 65

TechCrunch

JUNE 25, 2021

He acknowledges that traditional big data warehousing works quite well for business intelligence and analytics use cases. This also allows businesses to run their machine learning models at the edge, as well. That whole model is breaking down.” ” Image Credits: Edge Delta.

Machine Learning 210

Machine Learning Artificial Inteligence Big Data Business Intelligence 210

TIBCO - Connected Intelligence

NOVEMBER 7, 2019

The TIBCO analytics and data management portfolio solves the tough analytics problems and deployment challenges when other tools run out of gas. From #DataScience to #Streaming to #EBX to #Spotfire , analytics with TIBCO is truly #BetterTogether. Augment Intelligence with Data Management and Data Virtualization.

Analytics 7

Analytics Artificial Inteligence Artificial Intelligence Virtualization 7

Altexsoft

AUGUST 13, 2020

Data analytics is one of the key directions for digital transformation in various industries, travel included. As business grows, these become impossible to analyze and keep track of manually or using spreadsheets. As business grows, these become impossible to analyze and keep track of manually or using spreadsheets.

Business Intelligence 59

Business Intelligence Hotels Technical Review Technology 59

Openxcell

DECEMBER 12, 2023

To achieve this goal, software development companies implement digital tools like cloud computing services, Machine Learning, AI, Analytics Software, Mobile Applications, and many more. This includes predictive analytics, which is a potent solution to interpret future trends more accurately.

Retail 52

Retail Trends VR Artificial Inteligence 52

Altexsoft

JANUARY 17, 2023

Analytics and revenue management – managing companies monitor performance of properties under their control and use various revenue management strategies to maximize profits (e.g., Usually, it’s a separate IoT network of connected devices that has to be integrated with your PMS to achieve full remote control of the in-house regulations.

Strategy 52

Strategy Company Technical Review Software Review 52

Datavail

JUNE 15, 2023

The Microsoft Fabric announcement at Microsoft Build 2023 has caused quite a stir in the data and analytics world. Microsoft Fabric is an all-in-one analytics solution that brings together seven Azure services on a shared SaaS foundation, in a unified experience combined with AI.

Azure 52

Azure Analytics Storage Generative AI 52

Openxcell

AUGUST 28, 2023

b) Fine-tuned planning and reporting As businesses expand, data storage and management become crucial. They also have the capability to generate reports and analytics, which helps in decision-making across diverse platforms. d) Streamlined efficiency Enterprise software integrates advanced technologies like analytics and AI.

Enterprise 52

Enterprise Applications Development Software Review 52

ParkMyCloud

MAY 29, 2019

Business Intelligence Analyst. A BI analyst has strong skills in database technology, analytics, and reporting tools and excellent knowledge and understanding of computer science, information systems or engineering. IoT Engineer. Man-Machine Teaming Manager. Quantum Machine Learning Analyst.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

Altexsoft

MAY 14, 2021

And that’s the most important thing: Big Data analytics helps companies deal with business problems that couldn’t be solved with the help of traditional approaches and tools. This post will draw a full picture of what Big Data analytics is and how it works. What is Big Data analytics? Traditional approach.

Big Data 78

Big Data Analytics Tools Applications 78

Altexsoft

JULY 22, 2022

Data leakages in reporting and analytics activities. All these recognition technologies and management tools work most efficiently when seamless data exchange is established so that the vessel, container, vehicle, and traffic data are easily shared between modules and collected for further use (reviewing traffic events, analytics, etc.).

Operating System 52

Operating System Systems Review System Technical Review 52

Altexsoft

DECEMBER 23, 2022

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. As said, ETL and ELT are two approaches to moving and manipulating data from various sources for business intelligence. streaming data from telematics IoT devices. Data availability.

Tools 52

Tools Software Review Systems Review Testing 52

Altexsoft

MARCH 31, 2020

Only after these actions can you analyze data with dedicated software (a so-called online analytical processing or OLAP system). Thanks to data consolidation, everyone who uses data to make strategic and operational decisions or build and maintain analytical tools, can easily and quickly access it. But how do you move data?

Data 76

Data Storage Analytics Data Center 76

Altexsoft

JULY 18, 2023

Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. Its flexibility allows it to operate on single-node machines and large clusters, serving as a multi-language platform for executing data engineering , data science , and machine learning tasks.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Altexsoft

AUGUST 11, 2022

If you’re a shipper or carrier that was charged, well, the payment is inevitable, but you still need to keep records in case any disputes arise (and for analytical purposes too). KPI monitoring and analytics. Strategic decisions are most effective when they are based on data and analytics. IoT and telematics in rail.

Technical Review 52

Technical Review Industry Technology IoT 52

Altexsoft

FEBRUARY 22, 2022

Such an approach requires a great deal of investment since a whole ecosystem has to be created, including IoT sensors installation, acquiring specialized software, creating and maintaining machine learning (ML) models, engaging IT and data science specialists , and so on. Work orders dashboard in Fleet Maintenance Pro.

Software Review 52

Software Review Technical Review Software Technology 52

Altexsoft

NOVEMBER 10, 2021

This enables different teams to use a single system to access all of the enterprise data for a range of projects, including data science, machine learning, and business intelligence. Traditional data warehouse platform architecture. Another type of data storage — a data lake — tried to address these and other issues.

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

SEPTEMBER 23, 2021

Yet, more than often, businesses can’t make use of their most valuable asset — information. Because it is scattered across disparate systems, hardly available for analytical apps. The main purpose of a DW is to enable analytics: It is designed to source raw historical data, apply transformations, and store it in a structured format.

Architecture 52

Architecture Data Storage IoT 52

TIBCO - Connected Intelligence

JUNE 23, 2020

In a recent report, research firm Transforming Data with Intelligence (TDWI) asked a group of IT and Business Intelligence professionals to talk about the specifics of how they are making advanced analytics (AA) work at their companies. TDWI, Data Management for Advanced Analytics , 2020, Philip Russom).

Analytics 26

Analytics Report Data How To 26

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Operational policies and methods are different and aggregation of data across multiple clouds boundaries makes it difficult for governance, analytics, and business intelligence. In the case of Hybrid and multi-cloud, we are mixing up multiple clouds which increases operational and data management complexity.

Cloud 49

Cloud AWS Azure Data Center 49

Apiumhub

AUGUST 28, 2018

It is a cloud-based big data analytics platform, built to improve data-driven decision making. Cystellar’s platform provides predictive analytics to sectors such as insurtech, particularly helping insurers and their clients avoid damaging events. It then deploys machine learning algorithms to better predict customer needs.

Insurance 95

Insurance Technical Review Artificial Inteligence Policies 95