CIO

FEBRUARY 13, 2023

For example, New York-Presbyterian Hospital, which has a network of hospitals and about 2,600 beds, is deploying over 150 AI and VR/AR projects this year across all clinical specialties. The company is embedding AI into each level of the tech stack it sells to customers, he says. “We

Budget 363

Budget Artificial Inteligence Technical Review VR 363

Altexsoft

FEBRUARY 11, 2023

This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated. Hiring a well-skilled data architect can be very helpful for that purpose. To get a better understanding of a data architect’s role, let’s clear up what data architecture is.

Data 87

Data Data Engineering Big Data Architecture 87

Altexsoft

AUGUST 29, 2023

Data lakes emerged as expansive reservoirs where raw data in its most natural state could commingle freely, offering unprecedented flexibility and scalability. This article explains what a data lake is, its architecture, and diverse use cases. Watch our video explaining how data engineering works.

Architecture 52

Architecture Data Storage Artificial Inteligence 52

CIO

JUNE 28, 2023

Over the past three years, multinational beauty company, Belcorp, has grappled with numerous challenges stemming from the pandemic, shifts in consumer behavior, disruptions in supply chains, the war in Ukraine, and inflation. Belcorp’s answer was a new AI Innovation Labs platform, which has earned the company a CIO 100 Award in IT Excellence.

Technical Review 259

Technical Review Analytics Innovation Architecture 259

Cloudera

FEBRUARY 12, 2024

Most Azure users use hub-spoke network topology. DNS servers are usually deployed in the hub virtual network or an on-prem data center instead of in the Cloudera VNET. Service endpoint is a simpler implementation to allow resources on a private network to access managed services on Azure Cloud.

Azure 52

Azure Firewall Data Engineering Storage 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. Interested in keeping up with international technology events?

Innovation 82

Innovation Data Artificial Inteligence Machine Learning 82

Cloudera

JULY 27, 2021

This is an important step for our company and for our telecommunications and media customers and partners, adding significant momentum and acceleration to our development of solutions for the industry. Edge analytics by definition require in-network deployment. So we’re delighted to be a part of the story.

Telecommunications 64

Telecommunications Data Architecture Big Data 64

Apiumhub

JUNE 22, 2021

In this event you will gain insight into radical ideas that are already proven to provide ROI in some of the most data-driven and innovative companies in the world as well as learn how to accelerate AI-driven transformation. Data Innovation Summit topics. Data Innovation Summit: networking platform.

Innovation 83

Innovation Data Technical Review Artificial Inteligence 83

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.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

Kentik

APRIL 3, 2018

In our last blog post, At The Turning Point: FinServ Data Networks , we discussed the challenges faced by financial services organizations when it comes to managing modern networks. Networking teams no longer need to be limited by unresponsive tools, aggregated stats, and data deadends.

Network 40

Network WAN Policies LAN 40

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

O'Reilly Media - Data

JULY 18, 2018

Because large deep learning architectures are quite data hungry, the importance of data has grown even more. In this short talk, I describe some interesting trends in how data is valued, collected, and shared. Economic value of data. User expectations for what happens to data they generate has changed.

Artificial Inteligence 142

Artificial Inteligence Machine Learning Data Marketing 142

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.

Data Engineering 52

Data Engineering Fintech Engineering Data 52

Confluent

FEBRUARY 6, 2019

So why did Uber (and many other tech companies) build its own platform and framework-independent machine learning infrastructure? This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers. For now, we’ll focus on Kafka.

Artificial Inteligence 107

Artificial Inteligence Machine Learning Scalability Data Engineering 107

AWS Machine Learning - AI

JANUARY 26, 2024

Understanding and addressing LLM vulnerabilities, threats, and risks during the design and architecture phases helps teams focus on maximizing the economic and productivity benefits generative AI can bring. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

Artificial Inteligence 126

Artificial Inteligence Generative AI Security Applications 126

O'Reilly Media - Ideas

MARCH 19, 2020

Sustained strength in unsupervised learning, neural networks, reinforcement learning, etc., Aggregating artificial intelligence and machine learning topics accounts for nearly 5% of all usage activity on the platform, a touch less than, and growing 50% faster than, the well-established “data science” topic (see Figure 2).

Artificial Inteligence 112

Artificial Inteligence Trends Artificial Intelligence Machine Learning 112

Cloudera

FEBRUARY 25, 2021

With almost all of the Fortune 500 and a majority of the Global 2000 relying on Cloudera for their most important data assets, Cloudera’s Machine Learning product (CML) is the way enterprises do ML. We work with the largest companies in the world to help tackle their most challenging ML problems. Deep Learning for Image Analysis.

Artificial Inteligence 85

Artificial Inteligence Machine Learning Telecommunications Enterprise 85

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

Lacework

NOVEMBER 1, 2023

Their data is precious, absolutely essential for their functioning, and the consequences of data loss or leakage can severely threaten the health of the company. This article addresses privacy in the context of hosting data and considers how privacy by design can be incorporated into the data architecture.

System Design 52

System Design Systems Review System Data 52

O'Reilly Media - Ideas

JULY 1, 2019

There's a lot of hype surrounding AI, but are companies actually beginning to use AI technologies? We also found that the level of investment depended on how much experience a company already had with AI technologies, with companies further along the maturity curve planning substantially higher investments. Image by Ben Lorica.

Software Development 57

Software Development Artificial Inteligence Software Machine Learning 57

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). increase customer satisfaction by giving real-time status updates; and so on.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

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 Network 40

O'Reilly Media - Ideas

DECEMBER 6, 2018

As I pointed out in previous posts, we learned many companies are still in the early stages of deploying machine learning: Companies cite “lack of data” and “lack of skilled people” as the main factors holding back adoption. Companies have taken notice and want to build ML and AI into their systems and products.

Technology 73

Technology Artificial Inteligence Machine Learning Hardware 73

Mobilunity

DECEMBER 21, 2022

Data is an important part of all areas of medicine and accounts for around 30% of the international data volume. Data is used in clinical trials, for predictive testing, electronic health records and disease registries. Data scientists specialize in a variety of tasks that can benefit businesses in different ways.

Data 52

Data How To Artificial Inteligence Machine Learning 52

Existek

SEPTEMBER 28, 2023

From optimizing service operations to creating AI-powered products, companies continue implementing business-specific solutions with best-in-class approaches. Therefore, it’s required to obtain good skills in data science. Besides, their responsibilities include considering such factors as data type, volume, complexity, etc.

Artificial Inteligence 52

Artificial Inteligence Development How To Technical Review 52

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 86

Data Engineering Engineering Data Serverless 86

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. AI and machine learning in the enterprise.

Big Data 85

Big Data Technology Tools Cloud 85

O'Reilly Media - Ideas

MAY 1, 2019

Building Your LinkedIn Network , June 11. Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , May 20. First Steps in Data Analysis , May 20. Data Analysis Paradigms in the Tidyverse , May 30. Data Visualization with Matplotlib and Seaborn , June 4.

Course 44

Course Training Artificial Inteligence Machine Learning 44

Apiumhub

APRIL 18, 2019

The JBCNConf 2019 is a meeting point for programmers and development professionals, who meet to network and learn about the Java world and its latest developments. Nowadays Architecture Trends, from Monolith to Microservices and Serverless by Alberto Salazar. Oscar Sacristán Agulló – Data Engineer at Zara. &

Technical Review 57

Technical Review Microservices Software Review CTO Coach 57

Hu's Place - HitachiVantara

JANUARY 3, 2019

2018 was a year of maturity for Digital Transformation, and most companies are committed to transforming their companies. ” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared. Happy New Year and welcome to 2019, a year full of possibilities.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Abhishek Tiwari

JULY 12, 2018

Building data pipelines can offer strategic advantages to the business. Often companies underestimate the necessary effort and cost involved to build and maintain data pipelines. Data pipeline initiatives are generally unfinished projects. Not everyone is operating at Netflix or Spotify scale data engineering function.

Data 63

Data Software Review Technical Review Microservices 63

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

JULY 28, 2020

Many companies face a problem that’s even worse: no one knows which levers contribute to the metrics that impact business outcomes, or which metrics are important to the company (such as those reported to Wall Street by publicly-traded companies). For example, many companies use recommendation engines to boost sales.

Marketing 145

Marketing Weak Development Team Metrics UI/UX 145

Cloudera

OCTOBER 19, 2023

Telecommunications companies are currently executing on ambitious digital transformation, network transformation, and AI-driven automation efforts. Second , telcos must be able to “push out” data processing so it takes place closer to the connected devices that generate telemetry data, reducing data latency and minimizing traffic.

Data 79

Data Compliance Architecture Data Engineering 79

Kentik

FEBRUARY 7, 2023

But what are network operators to do when their cloud networks have to be distributed, both architecturally and geographically? As a cloud network scales, three forces compete against the acceptable accumulation of this gravity: cost, performance, and reliability. One of my personal experiences is with identity.

Network 59

Network Cloud Data Data Center 59

CIO

APRIL 24, 2023

Amanda Merola, senior software engineer, The Hartford The Hartford The HartCode Academy is just one of several initiatives The Hartford has put in place to recharge its IT talent pipeline. Now, it’s about managing people for who they can be tomorrow, not for who they are today.”

Technical Advisors 274

Technical Advisors Training Recruiting Programming 274

CIO

JULY 29, 2022

For financial services company Capital Group, competing in tight IT talent markets is all about the long run. “We 3 for employee satisfaction among large financial services companies, according to Global BPO research firm The Everest Group. The bootcamp broadened my understanding of key concepts in data engineering.

Groups 246

Groups Security Development Programming 246