Kentik

APRIL 12, 2023

Data scientists play a critical role in the DataOps ecosystem, leveraging advanced analytics and machine learning techniques to gain insights from large and complex data sets. DataOps team roles In a DataOps team, several key roles work together to ensure the data pipeline is efficient, reliable, and scalable.

Network 52

Network Data Engineering Machine Learning Artificial Inteligence 52

Altexsoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. Besides that, it’s fully compatible with various data ingestion and ETL tools. How data engineering works in 14 minutes.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Hu's Place - HitachiVantara

MAY 10, 2019

Rule-based fraud detection software is being replaced or augmented by machine-learning algorithms that do a better job of recognizing fraud patterns that can be correlated across several data sources. DataOps is required to engineer and prepare the data so that the machine learning algorithms can be efficient and effective.

Data 90

Data Machine Learning Artificial Inteligence Weak Development Team 90

Cloudera

MARCH 17, 2023

At Cloudera, we also provide machine learning as part of our lakehouse, so data scientists get easy access to reliable data in the data lakehouse to quickly launch new machine learning projects and build and deploy new models for advanced analytics.

ChatGPT 62

ChatGPT Education Data Comparison 62

DataRobot

JUNE 1, 2022

As a partner of the McLaren Formula 1 Team , DataRobot is excited to share an exclusive view of how McLaren uses machine learning and AI. Learn how the McLaren Formula 1 Team is delivering AI-powered predictions and insights to maximize performance and optimize simulations. New DataRobot AI Cloud Product Announcements.

Virtualization 119

Virtualization Artificial Inteligence Machine Learning Artificial Intelligence 119

O'Reilly Media - Ideas

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). AI products are automated systems that collect and learn from data to make user-facing decisions. Machine learning adds uncertainty.

Product Management 139

Product Management Artificial Inteligence Machine Learning Software Review 139

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 84

Innovation Data Technical Review Artificial Inteligence 84

Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. Company data exists in the data lake. The Data Scientist.

Data 97

Data Virtualization Banking Data Engineering 97

Erik Bernhardsson

DECEMBER 6, 2022

We've been focusing a lot on machine learning recently, in particular model inference — Stable Diffusion is obviously the coolest thing right now, but we also support a wide range of other things: Using OpenAI's Whisper model for transcription , Dreambooth , object detection (with a webcam demo!).

CTO Coach 242

CTO Coach Fractional CTO Software Engineering Serverless 242

Palo Alto Networks

AUGUST 23, 2021

We wanted to provide a modern cloud-based platform leveraging the latest in machine learning, analytics and automation to fight the many cyber attacks businesses face every day. Cortex XDR’s Third-Party Data Engine Now Delivers the Ability to Ingest, Normalize, Correlate, Query and Analyze Data from Virtually Any Source.

Cloud 92

Cloud Machine Learning Artificial Inteligence Analytics 92

Cloudera

JULY 14, 2023

While these instructions are carried out for Cloudera Data Platform (CDP), Cloudera Data Engineering, and Cloudera Data Warehouse, one can extrapolate them easily to other services and other use cases as well. Watch our webinar Supercharge Your Analytics with Open Data Lakehouse Powered by Apache Iceberg.

Backup 69

Backup Data Engineering Engineering Data 69

Cloudera

JANUARY 20, 2021

Predictive Analytics – predictive analytics based upon AI and machine learning (Fraud detection, predictive maintenance, demand based inventory optimization as examples). Security & Governance – an integrated set of security, management and governance technologies across the entire data lifecycle.

Data 106

Data Artificial Inteligence Analytics Machine Learning 106

Cloudera

JULY 13, 2023

Watch our webinar Supercharge Your Analytics with Open Data Lakehouse Powered by Apache Iceberg. It includes a live demo recording of Iceberg capabilities. Try Cloudera Data Warehouse (CDW), Cloudera Data Engineering (CDE), and Cloudera Machine Learning (CML) by signing up for a 60 day trial , or test drive CDP.

Weak Development Team 70

Weak Development Team Engineering Analytics Storage 70

Altexsoft

NOVEMBER 7, 2022

You can hardly compare data engineering toil with something as easy as breathing or as fast as the wind. The platform went live in 2015 at Airbnb, the biggest home-sharing and vacation rental site, as an orchestrator for increasingly complex data pipelines. How data engineering works. What is Apache Airflow?

Weak Development Team 52

Weak Development Team Technical Review Software Review Systems Review 52

Apiumhub

AUGUST 12, 2021

Gema Parreño Piqueras – Lead Data Science @Apiumhub Gema Parreno is currently a Lead Data Scientist at Apiumhub, passionate about machine learning and video games, with three years of experience at BBVA and later at Google in ML Prototype. Twitter: [link] Linkedin: [link]. Twitter: ??

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Cloudera

AUGUST 31, 2021

It outperforms other data warehouses on all sizes and types of data, including structured and unstructured, while scaling cost-effectively past petabytes. Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics. Demo Video. Solution brief. Contributors: .

Data 81

Data Analytics Cloud Technical Review 81

O'Reilly Media - Ideas

JANUARY 25, 2022

A quick look at bigram usage (word pairs) doesn’t really distinguish between “data science,” “data engineering,” “data analysis,” and other terms; the most common word pair with “data” is “data governance,” followed by “data science.” But these topics are relatively small and narrow.

Trends 110

Trends Technical Review Technology Artificial Inteligence 110

Altexsoft

MARCH 2, 2023

Source: McKinsy&Company For example, a data science team may spend 70 to 80 percent of their time preparing data for machine learning projects , with a prevailing part of this time being spent on data cleansing alone. Learn how data is prepared for machine learning in our dedicated video.

Government 52

Government Tools Data Weak Development Team 52

TIBCO - Connected Intelligence

DECEMBER 20, 2021

TIBCO DQ will become the new data quality product family, through an evolution of our current data quality offerings, significantly enhancing current capabilities available throughout the TIBCO data fabric with built-in AI and ML to automate quality, detection, monitoring, and anomaly resolution.

Innovation 26

Innovation Analytics Virtualization Cloud 26

DataRobot

SEPTEMBER 14, 2021

As AI continues to advance at such an aggressive pace, solutions built on machine learning are quickly becoming the new norm. Data scientists and data engineers want full control over every aspect of their machine learning solutions and want coding interfaces so that they can use their favorite libraries and languages.

Cloud 94

Cloud Machine Learning Artificial Inteligence Data Engineering 94

Cloudera

DECEMBER 10, 2020

These file formats not only help avoid data duplication into proprietary storage formats but also provide highly efficient storage formats. Multiple analytical engines (data warehousing, machine learning, data engineering, and so on) can operate on the same data in these file formats.

Data 98

Data Technical Review Storage Systems Review 98

John Snow Labs

MAY 24, 2023

Almost 90% of the machine learning models encounter delays and never make it into production. Developing a machine learning model requires a big amount of training data. Therefore, the data needs to be properly labeled/categorized for a particular use case.

Tools 52

Tools Machine Learning Artificial Inteligence Software Review 52

O'Reilly Media - Ideas

MARCH 2, 2020

It’s reasonable to have something to demo in two weeks (or whatever interval you choose). This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. Data quality might get worse before it gets better.

Agile 21

Agile Artificial Inteligence Weak Development Team SCRUM 21

DataRobot

SEPTEMBER 14, 2021

AI Cloud brings together any type of data, from any source, giving you a unique, global view of insights that drive your business. All of this is part of a unified, integrated platform spanning data engineering, machine learning, decision intelligence, and continuous AI – the entire AI lifecycle.

Cloud 52

Cloud Data Center Machine Learning Artificial Inteligence 52

Daniel Bryant

SEPTEMBER 13, 2019

What was worth noting was that (anecdotally) even engineers from large organisations were not looking for full workload portability (i.e. There were also two patterns of adoption of HashiCorp tooling I observed from engineers that I chatted to: Infrastructure-driven?—?in

Infrastructure 8

Infrastructure Azure Software Engineering Cloud 8

DataRobot

OCTOBER 3, 2017

Enterprise data architects, data engineers, and business leaders from around the globe gathered in New York last week for the 3-day Strata Data Conference , which featured new technologies, innovations, and many collaborative ideas. DataRobot Data Prep. free trial. Try now for free.

Trends 52

Trends Azure Conference Media 52

Capgemini

MARCH 31, 2024

The AI evolution: Transforming software engineering In the past year, the landscape of tech has seen unprecedented upheaval. Generative AI (GenAI) has catapulted data science, machine learning, and AI into the limelight, sparking conversations and at all levels of business and democratizing access to the power of AI.

Software Engineering 52

Software Engineering Engineering Software Generative AI 52