CIO

JUNE 22, 2023

There’s a high demand for software engineers, data engineers, business analysts and data scientists, as finance companies move to build in-house tools and services for customers. Other relevant roles include security professionals, project managers, UX/UI designers, product managers, data analysts, and business analysts.

Industry 183

Industry UI/UX Telecommunications Quality Assurance 183

CIO

NOVEMBER 29, 2022

For data warehouses, it can be a wide column analytical table. Many companies reach a point where the rate of complexity exceeds the ability of data engineers and architects to support the data change management speed required for the business.

Organization 167

Organization Technical Review Data Artificial Inteligence 167

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. Related articles.

Open Source 117

Open Source Artificial Inteligence Machine Learning Big Data 117

Agile Engine

DECEMBER 2, 2019

The market analytics hub TechReviewer named AgileEngine among the leading providers of software development services. In addition to covering the broader software development industry, the company also has lists that narrow down on specific domains like IoT, blockchain, and AI. Our company earned the 31st spot in TechReviewer’s list.

Software 19

Software Company Blockchain Software Development 19

CIO

JULY 18, 2023

CIO.com’s 2023 State of the CIO survey recently zeroed in on the technology roles that IT leaders find the most difficult to fill, with cybersecurity, data science and analytics, and AI topping the list. S&P Global also needs complementary skills in software architecture, multicloud, and data engineering to achieve its AI aims. “It

Technical Advisors 148

Technical Advisors Artificial Inteligence Generative AI How To 148

CIO

FEBRUARY 14, 2023

Investments in artificial intelligence are helping businesses to reduce costs, better serve customers, and gain competitive advantage in rapidly evolving markets. 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.

Artificial Inteligence 174

Artificial Inteligence Strategy Data Machine Learning 174

Capgemini

MARCH 16, 2022

In the face of global events, such as volatile markets or pandemics, they’re reviewing every aspect of their supply chains. technologies (AI & analytics, cloud and edge computing, cybersecurity, 5G, IoT, and data engineering) are converging at speed. Concurrently, manufacturers are under pressure.

Industry 98

Industry IoT Technical Review Automotive 98

ParkMyCloud

MAY 29, 2019

The Cloud Job Market is on the Rise. According to Gartner TalentNeuron , an online real-time labor market insight portal, “there are about 50,248 cloud computing positions available in the U.S. BI Analyst can also be described as BI Developers, BI Managers, and Big Data Engineer or Data Scientist. IoT Engineer.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

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. Real-time analytical instruments.

Analytics 20

Analytics Data IoT Analysis 20

Cloudera

JANUARY 20, 2021

Digital transformation is a hot topic for all markets and industries as it’s delivering value with explosive growth rates. Data Enrichment – data pipeline processing, aggregation & management to ready the data for further refinement.

Data 110

Data Artificial Inteligence Analytics Machine Learning 110

Altexsoft

FEBRUARY 8, 2021

There are two main approaches to demand planning: Traditional statistical methods make forecasts based on historical data and assume the continuation of existing trends. The accuracy of such forecasts is unreliable since it implies general stability that is rare for the highly changing environment of most markets. Cost control.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Confluent

JUNE 7, 2019

The Confluent Platform is an amazing toolbox, which every architect and data engineer should know of and utilize. Why does on-chain data matter? Any event, from IoT-supported delivery, trade, real estate transfer, to a bet in a prediction market is timestamped, censorship-resistant, and provable.

Blockchain 93

Blockchain Data Technical Review Software Review 93

Hu's Place - HitachiVantara

JANUARY 15, 2019

When the formation of Hitachi Vantara was announced, it was clear that combining Hitachi’s broad expertise in OT (operational technology) with its proven IT product innovations and solutions, would give customers a powerful, collaborative partner, unlike any other company, to address the burgeoning IoT market.

Systems Review 72

Systems Review Storage System Software Review 72

Apiumhub

APRIL 8, 2021

Ronald van Loon has been recognized among the top 10 global influencers in Big Data, analytics, IoT, BI, and data science. As the director of Advertisement, he works to help data-driven businesses be more successful. Ben Lorica is the Chief Data Scientist at O’Reilly Media. Ronald van Loon. Bernard Marr.

Artificial Inteligence 110

Artificial Inteligence Technical Advisors Data Machine Learning 110

Altexsoft

DECEMBER 9, 2020

Often, no technologies are involved in data analysis. But decisions are mostly made based on intuition, experience, politics, market trends, or tradition. Usually, there’s no dedicated engineering expertise; instead, existing software engineers are engaged in data engineering tasks as side projects.

Analytics 102

Analytics Technical Review Technology Applications 102

Altexsoft

JULY 23, 2020

It facilitates collaboration between a data science team and IT professionals, and thus combines skills, techniques, and tools used in data engineering, machine learning, and DevOps — a predecessor of MLOps in the world of software development. MLOps lies at the confluence of ML, data engineering, and DevOps.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

Altexsoft

JUNE 14, 2021

InsureApp is another company that contextualizes behavior and translates it into personalized insurance by combining and interpreting data from smartphone sensors and IoT devices. Their technology works by scanning the market, looking for discounted and lowered prices of insurance premiums for their clients.

Insurance 88

Insurance Artificial Inteligence Machine Learning Policies 88

Apiumhub

SEPTEMBER 20, 2023

Tech Conferences Compass Tech Summit – October 5-6 Compass Tech Summit is a remarkable 5-in-1 tech conference, encompassing topics such as engineering leadership, AI, product management, UX, and data engineering that will take place on October 5-6 at the Hungarian Railway Museum in Budapest, Hungary.

Conference 97

Conference Artificial Inteligence UI/UX Machine Learning 97

Hu's Place - HitachiVantara

JANUARY 3, 2019

In order to utilize the wealth of data that they already have, companies will be looking for solutions that will give comprehensive access to data from many sources. More focus will be on the operational aspects of data rather than the fundamentals of capturing, storing and protecting data.

Trends 86

Trends Artificial Inteligence Machine Learning Data Center 86

TIBCO - Connected Intelligence

OCTOBER 11, 2021

With TIBCO’s diverse partner ecosystem and relationships with leading channel partners, all partners can work together through TIBCO Partner-to-Partner to accelerate innovation and go-to-market. One example of an incredible solution fueled by TIBCO Partner-to-Partner is a new IoT solution developed by TIBCO, iSteer, and u-blox.

IoT 49

IoT Wireless Technical Review Healthcare 49

Altexsoft

MARCH 16, 2021

In general, a data infrastructure is a system of hardware and software tools used to collect, store, transfer, prepare, analyze, and visualize data. Check our article on data engineering to get a detailed understanding of the data pipeline and its components. Big data infrastructure in a nutshell.

Big Data 116

Big Data Healthcare Applications Data 116

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. When do you need a data pipeline?

Data 76

Data Storage Analytics Data Center 76

Cloudera

DECEMBER 20, 2022

In that sense, access to the auction is more conservative and can lead to inefficiencies in the use of assets, as some of the energy produced may be discarded if it is not saleable in the intraday market. Lastly, we examine retail companies, the energy marketers. Towards a better customer experience.

Energy 81

Energy Analytics Data Artificial Inteligence 81

Trigent

AUGUST 26, 2022

Trigent offers end-to-end consulting services, design, development, and managed services across Infrastructure, Cloud, Mobility, BI, Analytics, Product Engineering, Quality Engineering, IoT, Data Engineering, and Artificial Intelligence.

Software Review 52

Software Review Software Technical Review Artificial Intelligence 52

Hu's Place - HitachiVantara

MARCH 18, 2019

City of Istanbul Governorship: Safe, Smart Campus The challenge was to secure the governorship campus and include multiple existing video and IoT systems. Türkiye Petrol Rafinerileri (Tupras) | Opening the Data Lake to Data Science Tupras operates four oil refineries processing crude from global markets.

Healthcare 61

Healthcare Tourism Systems Review Energy 61

CTOvision

FEBRUARY 23, 2017

This is the place to dive deep into the latest on Big Data, Analytics, Artificial Intelligence, IoT, and the massive cybersecurity issues in all those topics. Data scientists. Data engineers. Data-driven designers, journalists, and anthropologists. CIOs, CTOs, enterprise architects. Product managers.

Big Data 61

Big Data Case Study Artificial Intelligence Artificial Inteligence 61

Agile Engine

DECEMBER 27, 2023

Key takeaways Any organization that operates online and collects data can benefit from a data analytics consultancy, from blockchain and IoT, to healthcare and financial services The market for data analytics globally was valued at $112.8 Conclusion 1.

Big Data 52

Big Data Analytics Data Analysis 52

Cloudera

JANUARY 19, 2018

Sean ascertains that larger data sets and increased access to compute power is propelling the adoption of machine learning. General Data Protection Regulation (GDPR) and Data Science. Kudu makes running real-time analytics easier than ever before and is foundational to a number of successful Cloudera IoT customers.

Artificial Inteligence 45

Artificial Inteligence Machine Learning Big Data IoT 45

BPM

JANUARY 18, 2019

Leading analyst firms seem to return to the roots of BPM as an orchestration layer implemented by workflow automation, and at least from where we stand it looks like this is a rapidly growing, sustainable market. Top 5 List of what to expect in the BPM market in 2019: Event-Driven – The future of BPM is event-driven.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

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 Data Engineering 52

DataRobot

APRIL 1, 2018

In Rita Sallam’s July 27 research, Augmented Analytics , she writes that “the rise of self-service visual-bases data discovery stimulated the first wave of transition from centrally provisioned traditional BI to decentralized data discovery.” DataRobot Data Prep. We agree with that. Sallam | Shubhangi Vashisth. .

Analytics 40

Analytics Artificial Inteligence Data Machine Learning 40

O'Reilly Media - Ideas

MARCH 6, 2019

Introduction to Digital Marketing , March 25. Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , March 13. Data Modelling with Qlik Sense , March 19-20. Foundational Data Science with R , March 26-27. What You Need to Know About Data Science , April 1.

Course 15

Course Artificial Inteligence Training Machine Learning 15

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. Enhance transparency.

Analytics 52

Analytics Data IoT Trends 52

Altexsoft

NOVEMBER 23, 2021

If the transformation step comes after loading (for example, when data is consolidated in a data lake or a data lakehouse ), the process is known as ELT. You can learn more about how such data pipelines are built in our video about data engineering. How to get started with data virtualization.

Virtualization 69

Virtualization Tools Data Architecture 69

Altexsoft

OCTOBER 2, 2020

Read the article to learn what components data management consists of and how to implement a data management strategy in your business. We’ll also talk about the data management platforms available on the market. What is data management and why is it vital for business growth? Snowflake data management processes.

Strategy 64

Strategy Database Administration Data Technical Review 64

Altexsoft

DECEMBER 4, 2020

Here, we’ll focus on tools that can save you the lion’s share of tedious tasks — namely, key types of data migration software, selection criteria, and some popular options available in the market. Types of data migration tools. Three types of data migration tools. Phases of the data migration process.

Software Review 69

Software Review Software Data Technical Review 69

Altexsoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. In other words, Kafka can serve as a messaging system, commit log, data integration tool, and stream processing platform. As we’ve said above, Kafka is not the only Pub/Sub platform in the market.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93