CIO

FEBRUARY 14, 2023

Here are some examples: Fraud It’s critical to identify bad actors using high-quality AI models and data Product recommendations It’s important to stay competitive in today’s ever-expanding online ecosystem with excellent product recommendations and aggressive, responsive pricing against competitors.

Artificial Inteligence 290

Artificial Inteligence Strategy Data Machine Learning 290

TechCrunch

FEBRUARY 7, 2022

Prior to becoming CEO of Foursquare, Gary was MD of Raine, leading the technology practice with a focus on advisory assignments and principal investments in consumer internet, enterprise software and emerging technology. Share on Twitter.

Business Intelligence 230

Business Intelligence AWS Sustainability Data Engineering 230

CIO

SEPTEMBER 2, 2022

But there simply aren’t enough trained — not to mention experienced — data scientists for all the companies looking to harness them. Similar findings came out of a 2021 Forrester report which noted that 55% of companies surveyed were looking to hire data scientists. Gartner reported that a data scientist in Washington, D.C.,

Data 246

Data Machine Learning Artificial Inteligence Training 246

CIO

SEPTEMBER 1, 2022

But there simply aren’t enough trained — not to mention experienced — data scientists for all the companies looking to harness them. Similar findings came out of a 2021 Forrester report which noted that 55% of companies surveyed were looking to hire data scientists. Gartner reported that a data scientist in Washington, D.C.,

Data 246

Data Machine Learning Artificial Inteligence Training 246

CTOvision

MAY 1, 2014

We are developing innovative software in big data analytics, predictive modeling, simulation, machine learning and automation. This is a green-fields development position for a passionate and experienced engineer. A strong emphasis on data validation, testing, getting it right and knowing it stays right. Qualifications.

Big Data 107

Big Data Data Engineering Engineering Data Center 107

CTOvision

MARCH 1, 2016

and New Streaming Analytics. HDF is a data-in-motion platform for real-time streaming of data and is a cornerstone technology for the Internet of Anything to ingest data from any source to any destination. SanDisk: Senior Big Data Engineer/Hadoop Developer (kdnuggets.com). Apache Ambari 2.2

Analytics 61

Analytics Strategy Big Data Data Engineering 61

Capgemini

MARCH 16, 2022

technologies (AI & analytics, cloud and edge computing, cybersecurity, 5G, IoT, and data engineering) are converging at speed. Bring the potential of DATA to the factory floor. But the question how to start remains. 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

Kentik

MAY 9, 2017

Without the visibility and analytics provided by tracking data, there would be no way to know, nor any way to leverage that data to improve delivery times, reduce cost, or allocate load across the paths and system components that serve various customers. Or maybe that would happen more than just “sometimes.”

Internet 40

Internet Analysis Network Analytics 40

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

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.

Infrastructure 52

Infrastructure Cloud Data Linux 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

Cloudera

JANUARY 20, 2021

Consider that Manufacturing’s Industry Internet of Things (IIOT) was valued at $161b with an impressive 25% growth rate, the Connected Car market will be valued at $225b by 2027 with a 17% growth rate, or that in the first three months of 2020, retailers realized ten years of digital sales penetration in just three months.

Data 110

Data Artificial Inteligence Analytics Machine Learning 110

CTOvision

JUNE 15, 2015

They also launched a plan to train over a million data scientists and data engineers on Spark. ARMONK, NY - 15 Jun 2015: IBM (NYSE:IBM) today announced a major commitment to Apache®Spark™, potentially the most important new open source project in a decade that is being defined by data.

Open Source 117

Open Source Big Data Machine Learning Artificial Inteligence 117

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. Batch processing.

Analytics 20

Analytics Data IoT Analysis 20

CIO

OCTOBER 18, 2023

Putting data to work to improve health outcomes “Predicting IDH in hemodialysis patients is challenging due to the numerous patient- and treatment-related factors that affect IDH risk,” says Pete Waguespack, director of data and analytics architecture and engineering for Fresenius Medical Care North America.

Artificial Inteligence 334

Artificial Inteligence Analytics Artificial Intelligence Machine Learning 334

Kentik

JULY 31, 2017

Kentik’s Advanced Analytics Turns Routes into Insights. When it comes to routing traffic on the global Internet, BGP is the one and only protocol. While it’s not perfect, it has withstood the test of time and is now so embedded in how the Internet works that it would be near impossible to change. Peering Analytics.

Analytics 40

Analytics Knowledge Base Internet Network 40

Netflix Tech

SEPTEMBER 18, 2020

Part of our series on who works in Analytics at Netflix?—?and and what the role entails by Julie Beckley & Chris Pham This Q&A provides insights into the diverse set of skills, projects, and culture within Data Science and Engineering (DSE) at Netflix through the eyes of two team members: Chris Pham and Julie Beckley.

Data 89

Data Analytics Culture Video 89

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

Apiumhub

APRIL 3, 2023

The Data Innovation Summit is a fantastic event for innovative minds, enterprise practitioners, and startup founders to discuss ideas on data science, data engineering, the internet of things, analytics, and more.

Conference 52

Conference Virtualization Innovation Network 52

Kentik

DECEMBER 18, 2017

That’s how much flow data is ingested by Kentik Data Engine (KDE), the distributed big data backend that powers Kentik Detect®. It’s also just one of the many interesting statistics that we run across as we operate our SaaS platform for network traffic analytics. IP Versions and Internet Protocols.

IPv6 40

IPv6 Internet Big Data Network 40

Kentik

MAY 23, 2016

It’s common knowledge that “the Internet” is actually a set of networks belonging to a diverse range of independent organizations such as content providers, ISPs, corporations, and universities. These networks create the Internet by interconnecting. Applying Network Analytics. So now we understand why you might want to peer.

Big Data 40

Big Data Analytics Internet Network 40

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

Kentik

MAY 23, 2017

Internet Service Providers (ISPs) come in varying sizes, from rural broadband and small cable MSOs to Tier 2 players and Tier 1 global giants. The insights available to ISPs from that kind of network monitoring solution would include: Peering and transit analytics to maximize direct peering opportunities. Faster root-cause correlation.

Network 40

Network Open Source Big Data Load Balancer 40

Kentik

JANUARY 3, 2018

As part of the movement, organizations are also looking to benefit from the Internet of Things (IoT). Key IoT Analytics Requirements. Network-based analytics is critical to managing IoT infrastructure. Traffic analytics is without a doubt a very powerful tool for network staff troubleshooting IoT solutions.

IoT 40

IoT Network Tools Big Data 40

Altexsoft

AUGUST 19, 2022

In our blog, we’ve been talking a lot about the importance of business intelligence (BI), data analytics, and data-driven culture for any company. Multiple studies continuously demonstrate the superiority of analytics-based organizations (e.g., What is Power used for? Power BI products. Power BI products. per user/month).

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

Altexsoft

FEBRUARY 8, 2021

These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development. Optimization opportunities offered by analytics.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

TIBCO - Connected Intelligence

MARCH 5, 2020

Persistent demand for self-service data is unwavering – Enabled by easier-to-use, more powerful analytic tools, business users now demand access to all data, everywhere, at any and all times. Data Is The Wisest Bet for 2020.

Technology 42

Technology Games Trends IoT 42

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

O'Reilly Media - Ideas

MARCH 31, 2020

In the best case scenario, the trained neural network accurately represents the underlying phenomenon of interest and produces the correct output even when presented with new input data the model didn’t see during training. It turns out that type of data infrastructure is also the foundation needed for building AI products.

Product Management 137

Product Management Artificial Inteligence Machine Learning Software Review 137

TechCrunch

NOVEMBER 4, 2022

Remember the cable, phone and internet combo offers that used to land in our mailboxes? I know this because I used to be a data engineer and built extract-transform-load (ETL) data pipelines for this type of offer optimization. Why do data leaders today care about the modern data stack?

Data 218

Data Storage Analytics Data Engineering 218

Existek

JANUARY 11, 2022

The cloud computing market covers many areas like business processes, infrastructure, platform, security, management, analytics supported by cloud providers. Along with meeting customer needs for computing and storage, they continued extending services by presenting products dealing with analytics, Big Data, and IoT. Game tech

Azure 52

Azure AWS Cloud How To 52

Cloudera

MAY 27, 2021

“When developing ethical AI systems, the most important part is intent and diligence in evaluating models on an ongoing basis,” said Santiago Giraldo Anduaga, director of product marketing, data engineering and ML at Cloudera.

Artificial Inteligence 119

Artificial Inteligence Artificial Intelligence Technical Review Systems Review 119

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. The “Fourth Industrial Revolution” was coined by Klaus Schwab of the World Economic Forum in 2016.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning IoT 52

Kentik

JUNE 27, 2016

The foundation for this work is the network data that is captured and stored by Kentik’s post-Hadoop Big Data backend, Kentik Data Engine™ (KDE), which includes full-resolution flow records (e.g. NetFlow, IPFIX, sFlow), BGP routing tables, GeoIP data, and SNMP. Detecting unauthorized communications.

Network 40

Network Big Data Internet Data 40

Kentik

AUGUST 14, 2017

From a technical standpoint, Interface Classification provides an elegant solution to a critical question of flow-based analytics: how do we uniquely identify flows when they may pass through multiple interfaces within our autonomous system (AS)? In a future post we’ll take a closer look at some typical use cases. Keeping Counts Real.

Network 40

Network Engineering LAN .Net 40

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