CIO

APRIL 22, 2022

Data science gives the data collected by an organization a purpose. Data science vs. data analytics. While closely related, data analytics is a component of data science, used to understand what an organization’s data looks like. The benefits of data science. Data science jobs.

Data 210

Data Machine Learning Artificial Inteligence Analytics 210

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 87

Network Architecture Tools Machine Learning 87

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

Netflix Tech

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. What is late-arriving data?

Data Engineering 108

Data Engineering Engineering Data Systems Review 108

Altexsoft

DECEMBER 9, 2020

In the era of global digital transformation , the role of data analysis in decision-making increases greatly. Still, today, according to Deloitte research, insight-driven companies are fewer than those not using an analytical approach to decision-making, even though the majority agrees on its importance. Stages of analytics maturity.

Analytics 102

Analytics Technical Review Technology Applications 102

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 217

Analytics IoT KPI Azure 217

CIO

MAY 21, 2024

In the past, to get at the data, engineers had to plug a USB stick into the car after a race, download the data, and upload it to Dropbox where the core engineering team could then access and analyze it. One of the current challenges is the quality of the 5G network used to transmit data from the cars.

Data 190

Data Azure Engineering Analytics 190

Cloudera

APRIL 14, 2021

What is Cloudera Data Engineering (CDE) ? Cloudera Data Engineering is a serverless service for Cloudera Data Platform (CDP) that allows you to submit jobs to auto-scaling virtual clusters. Refer to the following cloudera blog to understand the full potential of Cloudera Data Engineering. .

Data Engineering 84

Data Engineering Engineering Data Serverless 84

CIO

JANUARY 19, 2024

Whether you’re looking to earn a certification from an accredited university, gain experience as a new grad, hone vendor-specific skills, or demonstrate your knowledge of data analytics, the following certifications (presented in alphabetical order) will work for you. Not finding what you’re looking for?

Artificial Inteligence 190

Artificial Inteligence Data Machine Learning Azure 190

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 196

Machine Learning Artificial Inteligence Data Marketing 196

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 218

Artificial Inteligence Azure IoT Analytics 218

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

Kentik

MAY 10, 2023

It serves as a single point of access for various types of data, which could be a significant volume of very diverse data formats in an extensive network. In fact, this is very common to see in many network operations centers. This is a direct benefit to operational teams running networks day-to-day.

Analytics 59

Analytics Network Data Machine Learning 59

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 218

Budget Artificial Inteligence Technical Review VR 218

CIO

MAY 30, 2024

The course covers principles of generative AI, data acquisition and preprocessing, neural network architectures, natural language processing, image and video generation, audio synthesis, and creative AI applications. You’ll be tested on your knowledge of generative models, neural networks, and advanced machine learning techniques.

Generative AI 206

Generative AI Artificial Inteligence Programming Azure 206

TechCrunch

DECEMBER 1, 2020

. “Users didn’t know how to organize their tools and systems to produce reliable data products.” These companies might step further into the area that Databand has identified and is fixing, but for now Databand’s focus specifically on identifying and helping engineers fix anomalies has given it a strong profile and position.

Tools 214

Tools Data Weak Development Team Big Data 214

AWS Machine Learning - AI

NOVEMBER 20, 2024

Each interface endpoint is represented by one or more elastic network interfaces in your subnets, which is then used by Amazon Q Business to connect to the private database. She has experience across analytics, big data, ETL, cloud operations, and cloud infrastructure management. Data Engineer at Amazon Ads.

Data 111

Data AWS Groups Knowledge Base 111

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

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 81

Energy Analytics Data Machine Learning 81

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 174

Technical Review Software Review Systems Review Software Engineering 174

Altexsoft

MAY 14, 2021

And that’s the most important thing: Big Data analytics helps companies deal with business problems that couldn’t be solved with the help of traditional approaches and tools. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics.

Big Data 78

Big Data Analytics Tools Applications 78

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 197

Trends Recruiting Culture Quality Assurance 197

Capgemini

NOVEMBER 21, 2024

At a fundamental level, it is a transformation of people, process, technology, and data to allow an organization to become data powered. But, more practically, data and BI modernization are the creation of a data foundation of secure, trusted, and democratized data to support AI and analytics at scale.

Data 52

Data Government Innovation Architecture 52

Kentik

APRIL 12, 2023

Network telemetry and DataOps are two concepts that play a critical role in enhancing network visibility. With modern networks’ increasing complexity and scale, it has become essential to collect and analyze data from various sources to gain insights into network performance, security, and availability.

Network 52

Network Data Engineering Machine Learning Artificial Inteligence 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 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Kentik

OCTOBER 19, 2015

Turning data analytics into significant competitive advantage. Recently, the team at Kentik tweeted the following: “#Moneyball your network with deeper, real-time insights from #BigData NetFlow, SNMP & BGP in an easy to use #SaaS.” Like baseball, network operations is a field in which a huge volume of data is available.

Big Data 40

Big Data Analytics Network Data 40

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 157

Technical Review Analytics Innovation Architecture 157

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

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

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 84

Innovation Data Technical Review Artificial Inteligence 84

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

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 84

Innovation Data Machine Learning Artificial Inteligence 84

Apiumhub

APRIL 8, 2021

Ronald van Loon has been recognized among the top 10 global influencers in Big Data, analytics, IoT, BI, and data science. As the director of Advertisement, he works to help data-driven businesses be more successful. With more than 270,000 followers on Twitter, Borne’s influence in data and analytics is widespread.

Artificial Inteligence 110

Artificial Inteligence Technical Advisors Data Machine Learning 110

Palo Alto Networks

AUGUST 23, 2021

the third-generation XDR platform that allows security teams to identify and investigate attacks across all endpoint, network, cloud and identity sources from a single console. The new platform also integrates a rich set of identity data sources and built-in analytics to address a variety of identity-based threats. .

Cloud 98

Cloud Artificial Inteligence Machine Learning Analytics 98

CIO

APRIL 24, 2023

In the 2023 State of the CIO report , IT leaders said they were most concerned about finding qualified experts in advanced areas such as cybersecurity, blockchain, and data science and analytics. You might have someone in STEM classes who has interest in network engineering and wants some visibility into network operations. “You

Technical Advisors 167

Technical Advisors Training Recruiting Programming 167

Netflix Tech

MAY 26, 2020

Without having network visibility, it’s not possible to improve our reliability, security and capacity posture. Network Availability: The expected continued growth of our ecosystem makes it difficult to understand our network bottlenecks and potential limits we may be reaching. 43416 5001 52.213.180.42

Network 61

Network IPv6 AWS Infrastructure 61