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

Cloudera

DECEMBER 20, 2022

In this respect, several studies project that a proper use of advanced analytics implies savings of between 5% and 7.5%. For this reason, the need to have a data platform that allows for a fine-tuned analysis and prediction of supply and demand becomes a necessary tool to operate the business in a more efficient and profitable way.

Energy 80

Energy Analytics Data Machine Learning 80

Xebia

NOVEMBER 11, 2022

On October 26, 27, and 28, Xebia hosted its annual GoDataFest , a wonderful collection of talks, discussions, workshops, breakfast sessions, and networking hosted in the Amsterdam office of Xebia. This blog explores the various sessions throughout those 3 days but specifically focuses on the Cloud Data Platform workshop on Friday the 28th. .

Google Cloud 130

Google Cloud Cloud Data Data Engineering 130

Datavail

MARCH 31, 2022

Digital analytics offer enterprises an almost limitless array of values because they are as malleable as each business needs them to be. Further, these analytical capacities continue to evolve as more companies develop proprietary analytics to meet their specific sector demands. Analytics as a Strategy Tool.

Business Analytics 52

Business Analytics Analytics Artificial Inteligence Strategy 52

Trigent

NOVEMBER 3, 2022

There lies the importance of data analytics. Data analytics is not new to us anymore. Logistics is a classic case in point when evaluating the impact of data analytics. It is complex and relies on an intricate but extensive network of industry players for its myriad functions. The route to the future.

Analytics 52

Analytics Data IoT Trends 52

O'Reilly Media - Ideas

DECEMBER 6, 2018

In this episode of the Data Show , I spoke with Alex Wong , associate professor at the University of Waterloo, and co-founder of DarwinAI , a startup that uses AI to address foundational challenges with deep learning in the enterprise. Continue reading Tools for generating deep neural networks with efficient network architectures.

Network 60

Network Architecture Tools Machine Learning 60

CIO

APRIL 27, 2023

For technologists with the right skills and expertise, the demand for talent remains and businesses continue to invest in technical skills such as data analytics, security, and cloud. The demand for specialized skills has boosted salaries in cybersecurity, data, engineering, development, and program management.

Technical Review 290

Technical Review Software Review Systems Review Software Engineering 290

CIO

OCTOBER 1, 2022

The new IIoT platform uses machine telemetry and high-speed analytics to continuously monitor production lines to provide early detection and prevention of potential issues in the material flow. This, in turn, improves cycle time, reduces network losses, and ensures quality, all while improving operator productivity.

Artificial Inteligence 363

Artificial Inteligence Azure IoT Analytics 363

CIO

FEBRUARY 13, 2023

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). Cold: On-prem infrastructure As they did in 2022, many IT leaders are reducing investments in data centers and on-prem technologies. “We

Budget 363

Budget Artificial Inteligence Technical Review VR 363

CIO

JUNE 28, 2023

To address the challenges, the company has leveraged a combination of computer vision, neural networks, NLP, and fuzzy logic. These circumstances have induced uncertainty across our entire business value chain,” says Venkat Gopalan, chief digital, data and technology officer, Belcorp.

Technical Review 262

Technical Review Analytics Innovation Artificial Intelligence 262

Cloudera

JULY 24, 2023

In their effort to reduce their technology spend, some organizations that leverage open source projects for advanced analytics often consider either building and maintaining their own runtime with the required data processing engines or retaining older, now obsolete, versions of legacy Cloudera runtimes (CDH or HDP).

Open Source 65

Open Source Analytics Software Review Metrics 65

Netflix Tech

DECEMBER 18, 2020

Part of our series on who works in Analytics at Netflix?—?and and what the role entails by Alex Diamond This Q&A aims to mythbust some common misconceptions about succeeding in analytics at a big tech company. Within a few months I’d picked up BI tools, predictive modeling, and data ingestion/ETL.

Analytics 55

Analytics Engineering Business Intelligence Data 55

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. Feel free to check out the whole list of speakers here.

Innovation 82

Innovation Data Machine Learning Artificial Inteligence 82

Kentik

JULY 18, 2016

Irwin’s story may be interesting, but what does it have to do with network traffic data? The answer is rooted in the experience of Kentik’s founders, who’ve spent decades building and operating some of the world’s biggest and most complex networks. I wrote previously about this kind of potential in Moneyball Your Network.)

Big Data 40

Big Data Network Analytics Data 40

Altexsoft

FEBRUARY 11, 2023

Data is now one of the most valuable assets for any kind of business. The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. Feel free to enjoy it. Feel free to enjoy it.

Data 87

Data Data Engineering Big Data Architecture 87

CIO

JANUARY 10, 2023

Cold: In-person networking Vick says location-based job finding opportunities for tech pros are falling away, a lasting effect of the COVID pandemic. When it comes to finding tech talent, we have found that in-person networking events have become more rare,” he says. Careers, IT Skills, Staff Management.

Trends 328

Trends Recruiting Culture Quality Assurance 328

Cloudera

OCTOBER 4, 2023

In telecommunications, fast-moving data is essential when we’re looking to optimize the network, improving quality, user satisfaction, and overall efficiency. With this, we can reduce customer churn and overall network operational costs. The need for real-time decision support and automation is clear.

Analytics 84

Analytics Machine Learning Artificial Inteligence Telecommunications 84

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 83

Innovation Data Technical Review Artificial Inteligence 83

Kentik

MAY 23, 2017

Why Every ISP Needs a Robust Network Monitoring Solution. To do that in today’s network environment, ISPs need deeper network visibility. It used to be that cloud-scale network monitoring was within reach of only the biggest, richest organizations, those that were most software-savvy and R&D-heavy.

Network 40

Network Open Source Big Data Load Balancer 40

TIBCO - Connected Intelligence

SEPTEMBER 22, 2020

And for enterprises running AWS, Amazon Redshift is most certainly a part of the data warehousing picture given its size, flexibility, and scale. Fast, fully-managed warehousing services make it simple and cost-efficient to analyze all your data right within your business intelligence (BI) and analytics platforms.

AWS 48

AWS Analytics Cloud Analysis 48

Kentik

JANUARY 3, 2018

Looking into Network Monitoring in an IoT enabled network. As IoT adoption in the enterprise continues to take shape, organizations are finding that the diverse capabilities represent another massive increase in the number of devices and the data volumes generated by these devices in enterprise networks.

IoT 40

IoT Network Tools Big Data 40

Kentik

AUGUST 29, 2016

Warm Reception Makes for Fun Networking Field Day. It was a blast taking part in our first ever Networking Field Day (NFD12). But presenting at NFD12 gave us the opportunity to get valuable response and feedback from a set of knowledgeable network nerd and blogger delegates, as well as from the NFD12 streaming audience.

Analytics 40

Analytics Banking Data Engineering Policies 40

Mobilunity

MAY 3, 2024

When it comes to financial technology, data engineers are the most important architects. As fintech continues to change the way standard financial services are done, the data engineer’s job becomes more and more important in shaping the future of the industry. Knowledge of Scala or R can also be advantageous.

Data Engineering 52

Data Engineering Fintech Engineering Data 52

Agile Engine

SEPTEMBER 29, 2023

Explore Data Studio projects and expertise in-depth Learn more Business challenge: addressing subscriber churn in the video streaming industry The client engaging our ML and data engineers is a premium streaming video on demand (SVOD) network top-listed by CNET in 2023.

Video 52

Video Machine Learning Artificial Inteligence Automotive 52

Hu's Place - HitachiVantara

MAY 10, 2019

For this reason, many financial institutions are converting their fraud detection systems to machine learning and advanced analytics and letting the data detect fraudulent activity. However, in the rush to do this, many of these systems have been poorly architected to address the total analytics pipeline.

Data 90

Data Machine Learning Artificial Inteligence Weak Development Team 90

Apps Associates

JULY 28, 2022

Efficiently load and transform data at scale into Data Lakes for data science and analytics. Load the data into object storage and create high-quality models more quickly using OCI data science. Use Case 2: Data integration for data marts and data warehousing. Let’s get started: 1.

Infrastructure 52

Infrastructure Cloud Data Linux 52

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 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

Cloudera

JULY 27, 2021

While billing used to be one of two critical things for any successful telco (the other being the network), today’s digital service providers prioritise channels, ecosystems, payments and cloud service architectures in enterprise architecture. Edge analytics by definition require in-network deployment.

Telecommunications 60

Telecommunications Data Architecture Big Data 60

Kentik

JUNE 27, 2016

Protecting Your Network with Comprehensive, Timely Understanding. Network security depends on comprehensive, timely understanding of what’s happening on your network. NetFlow, IPFIX, sFlow), BGP routing tables, GeoIP data, and SNMP. Kentik Detect enables network data to be applied to enhance network security.

Network 40

Network Big Data Internet Data 40

O'Reilly Media - Data

JULY 18, 2018

I list a few examples from the media industry, but there are are numerous new startups that collect aerial imagery, weather data, in-game sports data , and logistics data, among other things. If you are an aspiring entrepreneur, note that you can build interesting and highly valued companies by focusing on data.

Machine Learning 137

Machine Learning Artificial Inteligence Data Marketing 137

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 also often includes analytics, reporting, and forecasting capabilities.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Altexsoft

JUNE 29, 2021

MLEs are usually a part of a data science team which includes data engineers , data architects, data and business analysts, and data scientists. Who does what in a data science team. Machine learning engineers are relatively new to data-driven companies. Good problem-solving skills.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

Battery Ventures

OCTOBER 7, 2020

Many of these organizations are also scooping up technology that facilitates team collaboration, which is critical in the current work-from-home environment; others are seeking new tools to keep their software and networks secure. We have outlined some of these in our previous Cloud Native Entrepreneur’s Playbook.

Open Source 144

Open Source Cloud Google Cloud Azure 144

Apiumhub

APRIL 3, 2023

Not only do these events offer an opportunity to learn from some of the top minds in the field, but they also provide valuable networking opportunities and a chance to connect with individuals who may have the same interests. Join them for enriching conversations, interesting topics, and networking opportunities.

Conference 52

Conference Virtualization Innovation Network 52

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.

Architecture 52

Architecture Data Storage Machine Learning 52

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

Altexsoft

OCTOBER 30, 2021

If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. We will try to answer your questions and explain how two critical data jobs are different and where they overlap. Data science vs data engineering.

Data Engineering 98

Data Engineering Engineering Data Machine Learning 98