CIO

DECEMBER 1, 2022

Tapped to guide the company’s digital journey, as she had for firms such as P&G and Adidas, Kanioura has roughly 1,000 data engineers, software engineers, and data scientists working on a “human-centered model” to transform PepsiCo into a next-generation company.

Analytics 362

Analytics KPI IoT Azure 362

CIO

OCTOBER 1, 2022

The company has already undertaken pilot projects in Egypt, India, Japan, and the US that use Azure IoT Hub and IoT Edge to help manufacturing technicians analyze insights to create improvements in the production of baby care and paper products. These things have not been done at this scale in the manufacturing space to date, he says.

Artificial Inteligence 363

Artificial Inteligence Azure IoT Analytics 363

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

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.

Industry 306

Industry UI/UX Telecommunications Quality Assurance 306

TechCrunch

OCTOBER 7, 2021

They could see that the longer-term issue would be a growing need and priority for data privacy. “ As the world moves from the web to the immersive world of sensors and IOT we are transitioning into a world where people will share their data unconsciously or unknowingly. But humans are not meant to be mined.”

Artificial Inteligence 246

Artificial Inteligence Technical Review Engineering Data 246

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. An enterprise data ecosystem architected to optimize data flowing in both directions.

Artificial Inteligence 290

Artificial Inteligence Strategy Data Machine Learning 290

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 246

Technical Advisors Artificial Inteligence Generative AI How To 246

Capgemini

MARCH 16, 2022

technologies (AI & analytics, cloud and edge computing, cybersecurity, 5G, IoT, and data engineering) are converging at speed. Accelerate the digitalization journey. In the Factory of the Future, Intelligent Industry 4.0

Industry 98

Industry IoT Technical Review Automotive 98

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

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

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 82

Innovation Data Machine Learning Artificial Inteligence 82

Hu's Place - HitachiVantara

APRIL 11, 2019

Few if any data management frameworks are business focused, to not only promote efficient use of data and allocation of resources, but also to curate the data to understand the meaning of the data as well as the technologies that are applied to the data so that data engineers can move and transform the essential data that data consumers need.

Data Engineering 81

Data Engineering Machine Learning Artificial Inteligence Technical Review 81

TIBCO - Connected Intelligence

MARCH 4, 2021

Here are just some of the reasons TIBCO continues to lead in the way: Sparks DSML Innovation: TIBCO continues to fuel innovation with cutting-edge DSML technology, such as dynamic learning on streaming data and IoT capabilities. The platform supports your end-to-end analytics lifecycle so you can make faster, smarter decisions.

Machine Learning 72

Machine Learning Artificial Inteligence Software Analytics 72

TIBCO - Connected Intelligence

OCTOBER 11, 2021

One example of an incredible solution fueled by TIBCO Partner-to-Partner is a new IoT solution developed by TIBCO, iSteer, and u-blox. With a broad portfolio of chips, modules, and secure data services and connectivity, u?blox Meet the Partners. The Solution in Action. Join TIBCO Partner-to-Partner.

IoT 49

IoT Wireless Healthcare Technical Review 49

Cloudera

NOVEMBER 1, 2022

Through modern data architectures powered by CDP, including Cloudera-enabled data fabric, data lakehouse, and data mesh , DoD agencies can rapidly provision and manage innovative data engineering, data warehouse, and machine learning environments, with access to secured supply chain data stored in CDP Private Cloud.

Cloud 85

Cloud Government Storage Analytics 85

TIBCO - Connected Intelligence

DECEMBER 16, 2020

Imagine you’re a data engineer at a Fortune 1000 company. You use data virtualization to create data views, configure security, and share data. One: Streaming Data Virtualization. All this data is in motion. But first-generation data virtualization tools are designed for data at rest.

Virtualization 64

Virtualization Data Data Engineering Quality Assurance 64

Confluent

JULY 11, 2019

Simon Aubury is a data geek on all things from databases to event streaming, architecture, IoT, and cloud. A data engineer architect from Sydney, Australia, he lives with his wife, two kids, and a grumpy cat. We can’t wait to see what amazing projects are created with KSQL by the fantastic community of developers.

Training 83

Training Course Exercises IoT 83

Capgemini

MAY 28, 2020

In most cases, manufacturers can access significant amounts of historical and real-time data from machines to make reliable use cases, but it takes a change in mindset because many collected this data but did not look at it until it was too late. The use of IoT sensors means manufacturers can access real-time data now.

Artificial Intelligence 52

Artificial Intelligence Artificial Inteligence Automotive Data Engineering 52

Confluent

FEBRUARY 6, 2019

This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers. 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

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

Apiumhub

JUNE 22, 2021

Data Innovation Summit topics. Same as last year, the event offers six workshops (crash-course) themes, each dedicated to a unique domain area: Data-driven Strategy, Analytics & Visualisation, Machine Learning, IoT Analytics & Data Management, Data Management and Data Engineering.

Innovation 83

Innovation Data Technical Review Artificial Inteligence 83

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

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. Native Python Support for Snowpark.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning IoT 52

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. You can start investing in data infrastructure and analytical pipelines to automate data collection and analysis mechanisms.

Insurance 88

Insurance Machine Learning Artificial Inteligence Policies 88

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

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

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

TIBCO - Connected Intelligence

DECEMBER 1, 2020

LeadMind uses analytics, the cloud, and embedded IoT sensors to create over 20 analytics applications, or “train-alytics”. It is a combination of advanced analytics in partnership with TIBCO and CAF’s engineering expertise to maximize the benefit for train operations and optimize maintenance. Click To Tweet.

Training 34

Training Transportation Analytics IoT 34

Cloudera

JANUARY 20, 2021

Managing the collection of all the data from all factories in the manufacturing process is a significant undertaking that presents a few challenges: Difficulty assessing the volume and variety of IoT data: Many factories utilize both modern and legacy manufacturing assets and devices from multiple vendors, with various protocols and data formats.

Data 105

Data Artificial Inteligence Analytics Machine Learning 105

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

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

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 Artificial Intelligence Artificial Inteligence Case Study 61

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. . In conjunction with Coursera, Google Cloud offers hands-on training with specialized labs available via Qwiklabs , a learning lab environment for developers. Plural Sight.

Google Cloud 97

Google Cloud Training Resources Cloud 97

Cloudera

DECEMBER 20, 2022

This is possible thanks to the implementation of IoT solutions boosted by the introduction of communication improvements such as 5G or the future 6G technology, which will have a transmission speed of 1,000Gbp/s, compared to the 600Mbp/s of 5G. Explore operational efficiencies with our Federated Learning Machine Learning Prototype.

Energy 81

Energy Analytics Data Machine Learning 81

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 Data Center Machine Learning 86

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