Alation

FEBRUARY 13, 2020

. - Andreas Kohlmaier, Head of Data Engineering at Munich Re 1. --> Ron Powell, independent analyst and industry expert for the BeyeNETWORK and executive producer of The World Transformed FastForward Series, interviews Andreas Kohlmaier, Head of Data Engineering at Munich Re. Sometimes they didn’t really know about each other.

Data-driven 52

Data-driven Data Lake Enterprise Analytics 52

Corinium

JUNE 6, 2019

Are you seeing currently any specific issues in the Insurance industry that should concern Chief Data & Analytics Officers? Lack of clear, unified, and scaled data engineering expertise to enable the power of AI at enterprise scale. The data will enable companies to provide more personalized services and product choices.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

CIO Business Intelligence

OCTOBER 16, 2023

Furthermore, manufacturers are cognisant of the fact that data is the lubricant of smart manufacturing. The result is an exponential growth in data generation. Every device, every sensor and every operation is now a data source. Every device, every sensor and every operation is now a data source.

Manufacturing 133

Manufacturing Strategy Cost-Benefit IoT 133

IBM Big Data Hub

JANUARY 26, 2024

Telecommunications industry, a cornerstone of global connectivity, has been going through a technological renaissance for some time, driven by innovations such as 5G, IoT, cloud computing and AI. As a result, networks have become increasingly hard to manage.

IoT 96

IoT Data-driven Interactive Management 96

Smart Data Collective

OCTOBER 26, 2023

Cybersecurity is the practice of taking precautions to protect data privacy, security, and reliability from being compromised online. Specialists in cybersecurity help in taking appropriate precautions to secure sensitive data and individual privacy in the modern digital environment. What do cybersecurity specialists do?

Technology 91

Technology Risk Measurement IoT 91

Cloudera

SEPTEMBER 30, 2022

Cloudera DataFlow for the Public Cloud (CDF-PC) is a cloud-native service for Apache NiFi within the Cloudera Data Platform (CDP). New use cases: event-driven, batch, and microservices. Serverless IOT event processing : Collect, process, and move data from IOT devices with serverless IOT processing endpoints (e.g:

IoT 73

IoT Data-driven Modeling Optimization 73

CIO Business Intelligence

MAY 12, 2023

There were a multitude of reasons for Fraport AG, the operating company of Germany’s largest airport in Frankfurt, to build one of the largest European private 5G campus networks: automation, autonomous driving, localization of devices, and processing data in real time. in Germany.

IoT 103

IoT B2B Testing Technology 103

Jen Stirrup

MAY 21, 2024

I’m attending Commvault’s webinar tomorrow on the topic ‘‘From Threats to Resilience: Leveraging AI for Data Security’ as I am particularly interested in the topic of how generative AI will impact cybersecurity for both good and bad. AI is nothing without data. Generative AI: A Phenomenon - Why now?

IT 68

IT Measurement Internet of Things Data-driven 68

Jet Global

AUGUST 24, 2020

These applications have not only withstood the test of time in terms of form and function, they continue to serve a critical role in the businesses that rely on them every day. About iVEDiX. iVEDiX has delivered brilliantly curated digital solutions for some of the world’s most progressive organizations. About insightsoftware.

IoT 80

IoT Analytics Deep Learning Digital Transformation 80

CIO Business Intelligence

JUNE 22, 2023

It’s an industry that handles critical, private, and sensitive data so there’s a consistent demand for cybersecurity and data professionals. But you’ll also find a high demand for software engineers, data analysts, business analysts, data scientists, systems administrators, and help desk technicians.

IT 121

IT Insurance Recreation/Entertainment Consulting 121

CIO Business Intelligence

FEBRUARY 14, 2023

By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports. 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. Instant reactions to fraudulent activities at banks.

Data Strategy 114

Data Strategy Strategy Machine Learning Data-driven 114

erwin

SEPTEMBER 5, 2019

As with any emerging technology, organizations need to test and pilot their projects to answer some important questions before going into production: How do these technologies disrupt? For example, 5G-driven disruption is forcing telecommunications companies to upgrade their infrastructure to cope with new volumes and velocities of data.

Enterprise 111

Enterprise IoT Internet of Things Data-driven 111

CDW Research Hub

MARCH 31, 2020

As business leaders around the globe find their infrastructure and operations (I&O) tested by the fallout from COVID-19, many are discovering “cracks in the armor.” For this reason, it’s important to account for workloads in public and private clouds, in traditional data centers and at the edge.

IoT 52

IoT Strategy Data-driven Risk 52

IBM Big Data Hub

NOVEMBER 30, 2023

Driven by accelerated hybrid cloud adoption and digital transformation efforts, the region is currently a beacon of innovation and a battleground for cyberthreats. Today, these attacks exhibit an unprecedented level of frequency, ingenuity and speed. “IBM’s deep industry expertise in security domain was a big reason.

Cost-Benefit 66

Cost-Benefit Digital Transformation Data-driven Strategy 66

IBM Big Data Hub

FEBRUARY 23, 2024

DL models can improve over time through further training and exposure to more data. Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends.

Enterprise 96

Enterprise Interactive Data-driven Key Performance Indicator 96

CIO Business Intelligence

JANUARY 18, 2023

They should also incorporate “a more data-driven approach to scheduling that ensures hybrid work supports diversity, equity, and inclusion, and a more line-of-work focused collaboration strategy rather than a one-size-fits-all-job functions approach,’’ Wettemann says. “IT Here are the most likely culprits.

IT 143

IT Data-driven Interactive Strategy 143

CIO Business Intelligence

JUNE 28, 2022

Some call data the new oil. Philosophers and economists may argue about the quality of the metaphor, but there’s no doubt that organizing and analyzing data is a vital endeavor for any enterprise looking to deliver on the promise of data-driven decision-making. And to do so, a solid data management strategy is key.

Management 136

Management Internet of Things Statistics Data-driven 136

Smart Data Collective

MARCH 14, 2023

library to handle AI code in IoT devices and containers. Other programming languages such as Python and R still tend to be more popular for AI and data science projects. If you are interested in creating AI and data science projects with JS, you can read this article on choosing the best framework.

Interactive 100

Interactive IoT Data Science Data-driven 100

AWS Big Data

JUNE 5, 2023

By upgrading, you can take advantage of the latest capabilities of the Apache Airflow platform and maintain compatibility with new features and best practices like data-driven scheduling and new Amazon provider packages released in Apache Airflow 2.4.3. or v2.0.2, and higher environment.

Snapshot 77

Snapshot Metadata Testing Data-driven 77

AWS Big Data

NOVEMBER 17, 2023

DynamoDB offers built-in security, continuous backups, automated multi-Region replication, in-memory caching, and data import and export tools. The scalability and flexible data schema of DynamoDB make it well-suited for a variety of use cases. Data stored in DynamoDB is the basis for valuable business intelligence (BI) insights.

Visualization 84

Visualization Metadata Testing Internet of Things 84

Cloudera

SEPTEMBER 18, 2020

In Part Two they will look at how businesses in both sectors can move to stabilize their respective supply chains and use real-time streaming data, analytics, and machine learning to increase operational efficiency and better manage disruption. The 6 key takeaways from this blog are below: 6 key takeaways.

Manufacturing 84

Manufacturing IoT Forecasting Machine Learning 84

CIO Business Intelligence

FEBRUARY 21, 2023

The firm’s connected brewery IoT platform, for instance, is being used for data ingestion and edge computing in breweries, enabling local teams to analyze, adjust, test and optimize production processes, with this in-turn allowing operations to leverage real-time and historical data to support the workers on the shop floor.

Digital Transformation 101

Digital Transformation Sales Experimentation Optimization 101

IBM Big Data Hub

JULY 26, 2023

By integrating real-time operational data, historical information and advanced algorithms into a comprehensive digital model, a digital twin can predict future behavior, refine operational efficiency and enable unprecedented insights into the real-world counterpart’s behavior. What is a digital twin?

Technology 53

Technology Cost-Benefit Optimization Internet of Things 53

CDW Research Hub

JANUARY 31, 2020

From expanding data privacy regulations to the heightened security concerns of IoT devices, application security is coming into focus for cybersecurity professionals. Application security focuses on minimizing vulnerable surface area through development and testing. What is application security? Tools for application security.

IT 52

IT IoT Cost-Benefit Testing 52

DataRobot Blog

MARCH 10, 2022

This “revolution” stems from breakthrough advancements in artificial intelligence, robotics, and the Internet of Things (IoT). These initiatives utilize interconnected devices and automated machines that create a hyperbolic increase in data volumes. IoT Empowered Assembly Lines: Predictive Maintenance.

Manufacturing 52

Manufacturing IoT Machine Learning Forecasting 52

datapine

JULY 17, 2019

Experts predict that by 2025, around 175 Zettabytes of data will be generated annually, according to research from Seagate. But with so much data available from an ever-growing range of sources, how do you make sense of this information – and how do you extract value from it? Looking for a bite-sized introduction to reporting?

KPI 223

KPI Reporting Key Performance Indicator Dashboards 223

CIO Business Intelligence

JUNE 22, 2022

Huawei is both pleased and honoured to have had opportunities to work with some of the leading telecommunications companies in Malaysia over the past two decades, particularly on connectivity-driven initiatives in recent years. Huawei will fully support CyberSecurity Malaysia, helping establish My5Gas as a regional cyber security test center.

Digital Transformation 103

Digital Transformation Manufacturing Testing Technology 103

Cloudera

DECEMBER 20, 2022

Efficient use of data will therefore be critical to improving the competitiveness and productivity of assets, both traditional and renewable generation. Data efficiency in renewables. Effective use of data can have a direct impact on the cash flow of wind and solar generation companies in areas such as real-time decision making.

Optimization 81

Optimization Data Analytics Analytics Cost-Benefit 81

CIO Business Intelligence

FEBRUARY 2, 2023

CIO 100 award-winner Chris Nardecchia also wears multiple leadership hats in his role as senior vice president and chief digital and information officer of Rockwell Automation, the world’s largest pure-play industrial automation and IoT company. Nardecchia: I think it’s happening and it’s driven by two or three things.

Manufacturing 111

Manufacturing IT Software Data-driven 111

Cloudera

AUGUST 30, 2018

Consider the following practices that, until recently, were relegated to the R&D department: Data-driven decision making – the collection and analysis of data to guide decisions that improve success. Complicating matters is the increasing focus on data protection and the far-reaching implications of IoT (e.g.

Enterprise 40

Enterprise Data-driven Digital Transformation Machine Learning 40

bridgei2i

JUNE 3, 2020

CTD’s growth over the last two decades was aided by technological innovation and the steady drop of electronics components’ costs, driven by economies of scale. Recent data indicates daily e-commerce sales to be up by 25% in the US and by 33% in the UK. Fast proactive planning driven by AI holds the key.

Technology 92

Technology Digital Transformation Recreation/Entertainment Manufacturing 92

Cloudera

SEPTEMBER 11, 2020

The ongoing disruption to critical supply chains in both the manufacturing and retail space has seen businesses having to respond quickly, turning to data, analytics, and new technologies to better predict and manage ‘real-time’ business disruptions. . Data and analytics. Broader data sets . That is no longer good enough.

Manufacturing 92

Manufacturing Forecasting Digital Transformation Sales 92

BizAcuity

MAY 10, 2022

Cloud technology and innovation drives data-driven decision making culture in any organization. Cloud washing is storing data on the cloud for use over the internet. Storing data is extremely expensive even with VMs during this time. An efficient big data management and storage solution that AWS quickly took advantage of.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity.

Testing 300

Testing Machine Learning Consulting Data Quality 300

Smart Data Collective

SEPTEMBER 19, 2021

Big data has become more important than ever in the realm of cybersecurity. You are going to have to know more about AI, data analytics and other big data tools if you want to be a cybersecurity professional. Big Data Skills Must Be Utilized in a Cybersecurity Role. Brilliant Growth and Wages.

Data-driven 119

Data-driven Big Data Marketing IoT 119

DataKitchen

JULY 27, 2023

The Ten Standard Tools To Develop Data Pipelines In Microsoft Azure. While working in Azure with our customers, we have noticed several standard Azure tools people use to develop data pipelines and ETL or ELT processes. We counted ten ‘standard’ ways to transform and set up batch data pipelines in Microsoft Azure.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

Cloudera

SEPTEMBER 12, 2018

It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Congratulations and high fives to every organization that submitted entries.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45