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. AI is the perception, synthesis, and inference of information by machines, to accomplish tasks that historically have required human intelligence.

Artificial Inteligence 290

Artificial Inteligence Strategy Data Machine Learning 290

Capgemini

MARCH 16, 2022

technologies (AI & analytics, cloud and edge computing, cybersecurity, 5G, IoT, and data engineering) are converging at speed. Big data management and analytics : The implementation of AI and predictive analytics, enables the automation of routine tasks allowing humans to focus on making higher-level decisions.

Industry 98

Industry IoT Technical Review Automotive 98

TechCrunch

OCTOBER 7, 2021

Now, a startup that is building tools to make it easier for engineers to implement the two simultaneously is announcing a round of growth funding to continue expanding its operations. They could see that the longer-term issue would be a growing need and priority for data privacy. But humans are not meant to be mined.”

Artificial Inteligence 246

Artificial Inteligence Technical Review Engineering Data 246

Kentik

JANUARY 3, 2018

Looking into Network Monitoring in an IoT enabled network. As part of the movement, organizations are also looking to benefit from the Internet of Things (IoT). IoT infrastructure represents a broad diversity of technology. So, how can digital businesses cope with these challenges without giving up on IoT?

IoT 40

IoT Network Tools Big Data 40

Cloudera

NOVEMBER 1, 2022

A quick trip in the congressional time machine to revisit 2017’s Modernizing Government Technology Act surfaces some of the most salient points regarding agencies’ challenges: The federal government spends nearly 75% of its annual information technology funding on operating and maintaining existing legacy information technology systems.

Cloud 89

Cloud Government Storage Analytics 89

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. Who needs a data lake?

Architecture 52

Architecture Data Storage Machine Learning 52

Apiumhub

JUNE 22, 2021

We are super excited to participate in the biggest and the most influential Data, AI and Advanced Analytics event in the Nordics! Data Innovation Summit ! There our Gema Parreño – Data Science expert at Apiumhub gives a talk about Alignment of Language Agents for serious video games.

Innovation 82

Innovation Data Technical Review Artificial Inteligence 82

Confluent

FEBRUARY 6, 2019

It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

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 means having information about their origin, journey, ownership, certifications, etc.,

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Altexsoft

JUNE 14, 2021

Lemonade is a US insurance company that uses Maya – an AI-powered bot, to collect and analyze customer data. Maya acts as a virtual assistant that gets information, provides quotes, and handles payments. The groups are created using algorithms that collect extensive customer data, such as health conditions.

Insurance 88

Insurance Machine Learning Artificial Inteligence Policies 88

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

CTOvision

JUNE 15, 2015

They also launched a plan to train over a million data scientists and data engineers on Spark. ARMONK, NY - 15 Jun 2015: IBM (NYSE:IBM) today announced a major commitment to Apache®Spark™, potentially the most important new open source project in a decade that is being defined by data.

Open Source 117

Open Source Big Data Machine Learning Artificial Inteligence 117

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.

Analytics 20

Analytics Data IoT Analysis 20

TIBCO - Connected Intelligence

DECEMBER 1, 2020

A TIBCO analytics user, LeadMind, CAF´s data-driven platform, provides hi-tech solutions to improve the operations and maintenance of those trains. LeadMind uses analytics, the cloud, and embedded IoT sensors to create over 20 analytics applications, or “train-alytics”. Better insights. Cost savings.

Training 34

Training Transportation Analytics IoT 34

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. ” 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

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. Discover training, hiring, and career opportunities for data professionals. Data scientists. Data engineers. Why You Should Attend.

Big Data 61

Big Data Artificial Intelligence Artificial Inteligence Case Study 61

Cloudera

JANUARY 19, 2018

The blog finishes by providing concrete examples of how Cloudera customers are delivering strategic functionality like recommendation engines, predictive maintenance, and IoT workflows – all with machine learning at their core. . General Data Protection Regulation (GDPR) and Data Science.

Artificial Inteligence 45

Artificial Inteligence Machine Learning Big Data IoT 45

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. CIO 100, Digital Transformation, Healthcare Industry, Predictive Analytics

Artificial Inteligence 334

Artificial Inteligence Analytics Artificial Intelligence Machine Learning 334

DataRobot

MARCH 10, 2022

This “revolution” stems from breakthrough advancements in artificial intelligence, robotics, and the Internet of Things (IoT). Python is unarguably the most broadly used programming language throughout the data science community. IoT Empowered Assembly Lines: Predictive Maintenance. More Information.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning IoT 52

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

ParkMyCloud

DECEMBER 11, 2020

Coursera includes a number of free courses including topics in Machine Learning, Architecting, Data Engineering, Developing Applications, and the list goes on. . We picked the 7 above for their reliability, variety, quality, and range of information. Plural Sight.

Google Cloud 97

Google Cloud Training Resources Cloud 97

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

AUGUST 25, 2020

What to consider big data and what is not so big data? Big data is still data, of course. But it requires a different engineering approach and not just because of its amount. Big data is tons of mixed, unstructured information that keeps piling up at high speed. Big data processing.

Big Data 75

Big Data Data Engineering Engineering Data 75

Altexsoft

JUNE 25, 2019

If we look at the hierarchy of needs in data science implementations, we’ll see that the next step after gathering your data for analysis is data engineering. This discipline is not to be underestimated, as it enables effective data storing and reliable data flow while taking charge of the infrastructure.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

Existek

JANUARY 11, 2022

The cloud computing market covers many areas like business processes, infrastructure, platform, security, management, analytics supported by cloud providers. Along with meeting customer needs for computing and storage, they continued extending services by presenting products dealing with analytics, Big Data, and IoT.

Azure 52

Azure AWS Cloud How To 52

Coforge

AUGUST 31, 2020

Now, the power of data analytics along with smart automation can aid faster risk assessment and claim settlements. This will facilitate quicker underwriting of micro policy covers, making it possible for the insurers to offer affordable policies to the customers.

Insurance 40

Insurance Technology Artificial Inteligence Policies 40

Altexsoft

MARCH 16, 2021

These devices are used to collect tons of various health and fitness-related data, such as daily activity, pulse, temperature, sleep patterns, and so on, all that in real time. But what happens to all the massive amounts of data from all these wearables and other medical and non-medical devices? Big data infrastructure in a nutshell.

Big Data 116

Big Data Healthcare Applications Data 116

Altexsoft

MAY 14, 2021

The truth is, there’s more to this term than just the size of information generated. Not only does Big Data apply to the huge volumes of continuously growing data that come in different formats, but it also refers to the range of processes, tools, and approaches used to gain insights from that data.

Big Data 78

Big Data Analytics Tools Applications 78

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 95

Conference Artificial Inteligence UI/UX Machine Learning 95

DataRobot

APRIL 1, 2018

Paxata was a Silver Sponsor at the recent Gartner Data and Analytics Summit in Grapevine Texas. Although some product solutions disrupted the operational reporting market, they require users to know the questions they need to ask their data. 2) Line of business is taking a more active role in data projects.

Analytics 40

Analytics Artificial Inteligence Data Machine Learning 40

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. But even for experienced data engineers, designing a new data pipeline is a unique journey each time. Data engineering in 14 minutes. What is ELT? Scalability.

Tools 52

Tools Software Review Systems Review Testing 52

Altexsoft

MARCH 31, 2020

It means you must collect transactional data and move it from the database that supports transactions to another system that can handle large volumes of data. Only after these actions can you analyze data with dedicated software (a so-called online analytical processing or OLAP system). But how do you move data?

Data 76

Data Storage Analytics Data Center 76

Cloudera

FEBRUARY 19, 2018

But when companies are looking towards new technologies such as data lakes, machine learning or predictive analytics, SAP alone is just not enough. To keep up with tech trends, businesses have to face the challenges of integrating SAP with non-SAP technologies and embark on a crusade against data silos. Breaking down data silos.

Data 46

Data Government Big Data Compliance 46

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. Fleet maintenance software features.

Software Review 52

Software Review Technical Review Software Technology 52

Apiumhub

APRIL 5, 2022

Apiumhub has become a Media partner of the Data Innovation Summit – the most influential data, AI and advanced analytics event in the Nordics and beyond. . Data Innovation Summit 2022 edition at glance. Save the dates: 5th & 6th May, 2022. .

Innovation 52

Innovation Data Artificial Inteligence Case Study 52

ParkMyCloud

MAY 29, 2019

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. 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

JULY 19, 2022

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. There have been relational databases, data warehouses, data lakes, and even a combination of the latter two.

Architecture 52

Architecture Data Analytics Data Engineering 52