TechCrunch

OCTOBER 7, 2021

Increasingly, conversations about big data, machine learning and artificial intelligence are going hand-in-hand with conversations about privacy and data protection. 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

Apiumhub

FEBRUARY 6, 2023

In this event, hundreds of innovative minds, enterprise practitioners, technology providers, startup founders, and innovators come together to discuss ideas on data science, big data, ML, AI, data management, data engineering, IoT, and analytics.

Innovation 83

Innovation Data Machine Learning Artificial Inteligence 83

O'Reilly Media - Ideas

JANUARY 8, 2019

In a recent O’Reilly survey , we found that the skills gap remains one of the key challenges holding back the adoption of machine learning. The demand for data skills (“the sexiest job of the 21st century”) hasn’t dissipated. Continuing investments in (emerging) data technologies. Burgeoning IoT technologies.

Trends 87

Trends Data Machine Learning Artificial Inteligence 87

DataRobot

MARCH 10, 2022

DataRobot and Snowflake Jointly Unleash Human and Machine Intelligence Across the Industrial Enterprise Landscape. The “Fourth Industrial Revolution” was coined by Klaus Schwab of the World Economic Forum in 2016. Python is unarguably the most broadly used programming language throughout the data science community.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning IoT 52

Hu's Place - HitachiVantara

APRIL 11, 2019

According to the Harvard Business Review , " Cross-industry studies show that on average, less than half of an organization’s structured data is actively used in making decisions—and less than 1% of its unstructured data is analyzed or used at all. REAN Cloud also provides ongoing managed services.

Data Engineering 81

Data Engineering Machine Learning Artificial Inteligence Technical Review 81

Altexsoft

AUGUST 29, 2023

Instead of relying on traditional hierarchical structures and predefined schemas, as in the case of data warehouses, a data lake utilizes a flat architecture. This structure is made efficient by data engineering practices that include object storage. Watch our video explaining how data engineering works.

Architecture 52

Architecture Data Storage Machine Learning 52

Cloudera

NOVEMBER 1, 2022

These systems also pose security risks, including the inability to use current security best practices, such as data encryption and multi-factor authentication, making these systems particularly vulnerable to malicious cyber activity.

Cloud 86

Cloud Government Storage Analytics 86

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. Building an AI or machine learning model is not a one-time effort.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Apiumhub

JUNE 22, 2021

Data Innovation Summit topics. Data Innovation Summit: networking platform. The Data Innovation Summit is a great opportunity not only to learn but to meet your peers from other organisations, industries and sectors in the Nordic and beyond.

Innovation 84

Innovation Data Technical Review Artificial Inteligence 84

Cloudera

JANUARY 20, 2021

Digital transformation is a hot topic for all markets and industries as it’s delivering value with explosive growth rates. We have simplified this journey into five discrete steps with a common sixth step speaking to data security and governance.

Data 106

Data Artificial Inteligence Analytics Machine Learning 106

Cloudera

JANUARY 19, 2018

Machine Learning in the Age of Big Data. Sean Anderson provides a tutorial on machine learning. From its origins in the 1950’s to today, the age of big data. Sean ascertains that larger data sets and increased access to compute power is propelling the adoption of machine learning.

Artificial Inteligence 45

Artificial Inteligence Machine Learning Big Data IoT 45

Trigent

NOVEMBER 3, 2022

Logistics has been one of those industries where digitalization has been long overdue, although the linchpin holds several value chains together. Thankfully, it’s now a game for new technologies and leveraging structured and unstructured data like no other. Data analytics is not new to us anymore. Enhance transparency.

Analytics 52

Analytics Data IoT Trends 52

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. Or your data quality may be low to reach project feasibility.

Insurance 88

Insurance Machine Learning Artificial Inteligence Policies 88

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

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

REAN Cloud is a global cloud systems integrator, managed services provider and solutions developer of cloud-native applications across big data, machine learning and emerging internet of things (IoT) spaces. This April, 47Lining, announced its Amazon Web Services (AWS) Industrial Time Series Data Connector Quick Start.

Cloud 78

Cloud Google Cloud Azure AWS 78

ParkMyCloud

DECEMBER 11, 2020

As another free Google Cloud training option, Google has also teamed up with Coursera , an online learning platform founded by Stanford professors, to offer courses online so you can “skill up from anywhere.”. Here you’ll learn new skills in a GCP environment and earn cloud badges along the way. Plural Sight. Blogs & Forums.

Google Cloud 97

Google Cloud Training Resources Cloud 97

CTOvision

JUNE 15, 2015

They also launched a plan to train over a million data scientists and data engineers on Spark. At the core of this commitment, IBM plans to embed Spark into its industry-leading Analytics and Commerce platforms, and to offer Spark as a service on IBM Cloud. IBM has been a decades long leader in open source innovation.

Open Source 117

Open Source Big Data Machine Learning Artificial Inteligence 117

Cloudera

MAY 10, 2018

With advancements in exploratory data science, machine learning, predictive analytics, AI, and data engineering, the world is increasingly driven by data. This shift has created an unprecedented opportunity for disruption and problem-solving across industries. Enterprise machine learning.

Data 41

Data Machine Learning Artificial Inteligence Data Engineering 41

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

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. It’s used in a variety of industries to improve efficiency and accuracy.

Machine Learning 52

Machine Learning Artificial Inteligence Engineering How To 52

Altexsoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

Altexsoft

APRIL 13, 2023

Due to extensive usage of connected IoT devices and advanced processing technologies, SCCTs not only gather data and build operational reports but also create predictions, define the impact of various macro- and microeconomic factors on the supply chain, and run “what-if” scenarios to find the best course of action.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

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. Data or derivatives of the data can also flow back into the data ecosystem.

Organization 279

Organization Technical Review Data Artificial Inteligence 279

Apiumhub

SEPTEMBER 20, 2023

October is around the corner, and it’s a prime time for tech enthusiasts, industry leaders, and innovators to come together and explore the latest trends, breakthroughs, and ideas. Platform Summit – October 16–18 The Platform Summit , Nordic APIs’ flagship API conference, gathers the brightest minds in the API industry.

Conference 97

Conference Artificial Inteligence UI/UX Machine Learning 97

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

Coforge

AUGUST 31, 2020

With over 5 Trillion USD in gross insurance premiums, the global Insurance industry is on a digital journey to reshape the future of how it interacts with its customers to provide them with a differentiated experience. Grow — Navigating a Successful Path for Digitization.

Insurance 40

Insurance Technology Artificial Inteligence Policies 40

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. 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.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

Existek

JANUARY 11, 2022

Cloud solutions have become unquestionably crucial for many industries and businesses. At some point, cloud computing has changed how to streamline business processes and deal with data in general. The tremendous popularity across all industries also explains the high cloud services distribution. Azure vs AWS: which is better?

Azure 52

Azure AWS Cloud How To 52

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. Oracle Stream Analytics.

Analytics 20

Analytics Data IoT Analysis 20

ParkMyCloud

JANUARY 17, 2020

AWS offers certifications for different learning levels. The four different categories/levels of certifications include: Foundational: individuals should have at least six months of basic/foundational industry and AWS knowledge. AWS Certified Machine Learning – Speciality. Azure Data Scientist Associate.

Google Cloud 9

Google Cloud Azure AWS Cloud 9

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.

Data 46

Data Government Big Data Compliance 46

Altexsoft

FEBRUARY 8, 2021

Supply chain practitioners and CEOs surveyed by 6river share that the main challenges of the industry are: keeping up with the rapidly changing customer demand, dealing with delays and disruptions, inefficient planning, lack of automation, rising costs (of transportation, labor, etc.),

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

ParkMyCloud

MAY 29, 2019

There is exponential growth in the cloud computing industry, so it’s no surprise that the demand for cloud computing intellect and skills is also increasing, with no slowing down in the foreseeable future. BI Analyst can also be described as BI Developers, BI Managers, and Big Data Engineer or Data Scientist.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

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.

Software Review 52

Software Review Technical Review Software Technology 52

Altexsoft

JULY 18, 2023

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. Before diving into the world of Spark, we suggest you get acquainted with data engineering in general.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

BPM

JANUARY 18, 2019

The current Artificial Intelligence (AI) fascination is unfortunately completely biased on Deep Neural Networks (DNN) and Machine Learning (ML) for everything. Regulated and unregulated industries should advance with caution. Denis Gagne Trisotech [link]. Explainable AI is a must for automated business decisions.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

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