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. DataStax Real-time data and decisioning First, a few quick definitions. Real-time data involves a continuous flow of data in motion.

Artificial Inteligence 276

Artificial Inteligence Strategy Data Machine Learning 276

Trigent

AUGUST 26, 2022

Working with a custom software development company is imperative when you plan to create an extraordinary digital project. Expert assistance and agile technology solutions make your work easier. The company is ranked as a top software development company in Massachusetts on the GoodFirms ranking list.

Software Review 52

Software Review Software Technical Review Artificial Intelligence 52

O'Reilly Media - Ideas

JANUARY 8, 2019

The demand for data skills (“the sexiest job of the 21st century”) hasn’t dissipated. LinkedIn recently found that demand for data scientists in the US is “off the charts,” and our survey indicated that the demand for data scientists and data engineers is strong not just in the US but globally.

Trends 87

Trends Data Machine Learning Artificial Inteligence 87

Apiumhub

FEBRUARY 6, 2023

We are excited to announce that for the second year in a row , Apiumhub will support the Data Innovation Summit , which will take place on May 11th and 12th in Kistamässan, Stockholm. Event Stages As mentioned above, the Data Innovation Summit will feature nine different stages, each presented by one of the sponsors of the event.

Innovation 82

Innovation Data Machine Learning Artificial Inteligence 82

Hu's Place - HitachiVantara

APRIL 11, 2019

Data breaches are common, rogue data sets propagate in silos, and companies’ data technology often isn’t up to the demands put on it." Introducing DataOps Today more customer are focusing on the operational aspects of data rather than on the fundamentals of capturing, storing and protecting data.

Data Engineering 81

Data Engineering Machine Learning Artificial Inteligence Technical Review 81

Coforge

AUGUST 31, 2020

* field--node--title--blog-post.html.twig x field--node--title.html.twig * field--node--blog-post.html.twig * field--title.html.twig * field--string.html.twig * field.html.twig --> The Coforge Viewpoint: How Intelligent Digital Technologies will reshape Insurance Operations. Key Areas of Digital Growth for Insurance Companies.

Insurance 40

Insurance Technology Artificial Inteligence Policies 40

Mobilunity

MAY 8, 2023

Key zones of an Enterprise Data Lake Architecture typically include ingestion zone, storage zone, processing zone, analytics zone, and governance zone. Ingestion zone is where data is collected from various sources and ingested into the data lake. Storage zone is where the raw data is stored in its original format.

Engineering 52

Engineering Data Storage AWS 52

Apiumhub

JUNE 22, 2021

In this event you will gain insight into radical ideas that are already proven to provide ROI in some of the most data-driven and innovative companies in the world as well as learn how to accelerate AI-driven transformation. Data Innovation Summit topics.

Innovation 83

Innovation Data Technical Review Artificial Inteligence 83

Cloudera

DECEMBER 20, 2022

Across the energy supply chain from generation to consumer, we can see that the trend toward investing in renewable energy has picked up pace as demand has grown for energy companies to actively pursue investments in energies with little or no environmental impact in the quest for decarbonisation. Data efficiency in renewables.

Energy 81

Energy Analytics Data Machine Learning 81

Altexsoft

JUNE 14, 2021

This article will explore the topic and its importance, how some insurers are already implementing it as their business model, how to approach personalization, and the challenges companies may encounter trying to implement it. For example, these companies use customer data from wearable and smart devices to monitor the user’s lifestyle.

Insurance 88

Insurance Machine Learning Artificial Inteligence Policies 88

TIBCO - Connected Intelligence

DECEMBER 16, 2020

Imagine you’re a data engineer at a Fortune 1000 company. Your company has thousands of databases and 14,000 business intelligence users. You use data virtualization to create data views, configure security, and share data. One: Streaming Data Virtualization. All this data is in motion.

Virtualization 64

Virtualization Data Data Engineering Quality Assurance 64

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Cloud-based spending will reach 60% of all IT infrastructure and 60-70% of all software, services, and technology spending by 2020. In 2019, CIOs will have to optimize applications of the newest cloud technology in response to their requirements. We are all thrilled to welcome them to our own team of talented professionals.

Cloud 78

Cloud Google Cloud Azure AWS 78

Trigent

NOVEMBER 3, 2022

Thankfully, it’s now a game for new technologies and leveraging structured and unstructured data like no other. The future of the global supply chain market lies in IoT, integrated solutions, data, and mobility. Connected logistics devices generate a massive amount of data. Optimized for more.

Analytics 52

Analytics Data IoT Trends 52

Agile Engine

DECEMBER 2, 2019

The US has more than 525,000 software services companies , which is why it means a lot when someone names you among the top 50. Rankings of this kind seem even more meaningful and important when they come from analytics firms focused on technology and software. Our company earned the 31st spot in TechReviewer’s list.

Software 19

Software Company Blockchain Software Development 19

Hu's Place - HitachiVantara

JANUARY 3, 2019

2018 was a year of maturity for Digital Transformation, and most companies are committed to transforming their companies. ” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared. Happy New Year and welcome to 2019, a year full of possibilities.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

CTOvision

JUNE 15, 2015

They also launched a plan to train over a million data scientists and data engineers on Spark. As data and analytics are embedded into the fabric of business and society –from popular apps to the Internet of Things (IoT) –Spark brings essential advances to large-scale data processing.

Open Source 117

Open Source Big Data Machine Learning Artificial Inteligence 117

Confluent

FEBRUARY 6, 2019

So why did Uber (and many other tech companies) build its own platform and framework-independent machine learning infrastructure? This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers. For now, we’ll focus on Kafka.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Data 110

Data Artificial Inteligence Analytics Machine Learning 110

Altexsoft

APRIL 13, 2023

Source: Supply Chain Dive Over the last few years, global supply chains have been so severely disrupted – but also enhanced with cutting-edge technologies. Leading executives focus on building resilient and intelligent supply chains that can withstand the turmoil due to data-based proactive decisions.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

DataRobot

MARCH 10, 2022

This “revolution” stems from breakthrough advancements in artificial intelligence, robotics, and the Internet of Things (IoT). As a result of these technological advancements, the manufacturing industry has set its sights on artificial intelligence and automation to enhance services through efficiency gains and lowering operational expenses.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning IoT 52

Altexsoft

AUGUST 25, 2020

That’s why a data specialist with big data skills is one of the most sought-after IT candidates. Data Engineering positions have grown by half and they typically require big data skills. Data engineering vs big data engineering. Big data processing. maintaining data pipeline.

Big Data 75

Big Data Data Engineering Engineering Data 75

Altexsoft

JULY 23, 2020

When speaking of machine learning, we typically discuss data preparation or model building. Much less often the technology is mentioned in terms of deployment. Living in the shadow, this stage, according to the recent study , eats up 25 percent of data scientists time. Data validation. Data preparation.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

CIO

NOVEMBER 29, 2022

A sea of complexity For years, data ecosystems have gotten more complex due to discrete (and not necessarily strategic) data-platform decisions aimed at addressing new projects, use cases, or initiatives. Layering technology on the overall data architecture introduces more complexity.

Organization 250

Organization Technical Review Data Artificial Inteligence 250

Altexsoft

JUNE 25, 2019

Being at the top of data science capabilities, machine learning and artificial intelligence are buzzing technologies many organizations are eager to adopt. However, they often forget about the fundamental work – data literacy, collection, and infrastructure – that must be done prior to building intelligent data products.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

Altexsoft

FEBRUARY 22, 2022

Fleet owners in trucking , car rental , delivery, and other transportation companies know that poorly maintained vehicles burn more fuel, require frequent oiling, and go kaput every other mile. Data is gathered from connected sensors and analyzed so that predictions of possible failures can be generated. So, what’s the alternative?

Software Review 52

Software Review Technical Review Software Technology 52

Existek

JANUARY 11, 2022

In its turn, any company that decides to transition to the cloud has to select a particular service provider. So how do companies choose the cloud service provider? And companies that have completed it emphasize gained advantages like accessibility, scalability, cost-effectiveness, etc. .

Azure 52

Azure AWS Cloud How To 52

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.

Artificial Inteligence 332

Artificial Inteligence Analytics Artificial Intelligence Machine Learning 332

O'Reilly Media - Ideas

MAY 1, 2019

Spotlight on Data: Caching Big Data for Machine Learning at Uber with Zhenxiao Luo , June 17. Introduction to Distributed Ledger Technology for Enterprise , July 10. Spotlight on Data: Data as an Asset with Friederike Schüür and Jen van der Meer , May 20. Data science and data tools.

Course 46

Course Training Artificial Inteligence Machine Learning 46

Cloudera

FEBRUARY 19, 2018

Running a large company is impossible without having an ERP system in place, and SAP business software remains at the forefront in this category. But when companies are looking towards new technologies such as data lakes, machine learning or predictive analytics, SAP alone is just not enough. Breaking down data silos.

Data 46

Data Government Big Data Compliance 46

Altexsoft

MARCH 16, 2021

Check our article on data engineering to get a detailed understanding of the data pipeline and its components. Big data infrastructure in a nutshell. To deliver valuable, applicable knowledge, data has to go through the following stages of a data pipeline: Big data sources continuously generate raw, real-world data.

Big Data 116

Big Data Healthcare Applications Data 116

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. Supply chain management process. Optimization opportunities offered by analytics.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

ParkMyCloud

MAY 29, 2019

As more and more enterprises drive value from container platforms, infrastructure-as-code solutions, software-defined networking, storage, continuous integration/delivery, and AI, they need people and skills on board with ever more niche expertise and deep technological understanding. IoT Engineer. Cloud Talent Demand Trends.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

Altexsoft

OCTOBER 26, 2022

Today’s reality is that nearly every company needs to go digital. But the truth is that today’s companies can only be successful if they reach their customers via all possible channels. Identify new technologies such as AI that can support and enhance existing solutions. It’s a never-ending journey. Attract talent.

CTO 52

CTO Organization Technical Review Culture 52

Apiumhub

APRIL 5, 2022

With over 1000 practical case studies presented on the past 6 editions and with new geo events in the MEA and the APAC region, the event is a worldwide movement, ushering the community of data, analytics and AI practitioners across functions, companies, industries, sectors, countries and regions to collaborate, benchmark, share and innovate.

Innovation 52

Innovation Data Artificial Inteligence Case Study 52

Altexsoft

MARCH 31, 2020

These can be data science teams , data analysts, BI engineers, chief product officers , marketers, or any other specialists that rely on data in their work. The simplest illustration for a data pipeline. Data pipeline components. Data pipeline components. Technology.

Data 76

Data Storage Analytics Data Center 76

Altexsoft

JULY 19, 2022

No matter how ridiculous it may sound, the famous quote is applicable to the technology world in many ways. In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. “New is always better.”.

Architecture 52

Architecture Data Analytics Data Engineering 52

Confluent

JUNE 7, 2019

We offer both historical and low-latency data streams of on-chain data across multiple blockchains. Apache Kafka ® is the central data hub of our company. The Confluent Platform is an amazing toolbox, which every architect and data engineer should know of and utilize. Why does on-chain data matter?

Blockchain 92

Blockchain Data Technical Review Software Review 92