Cloudera

JUNE 25, 2019

Cloudera Unveils Industry’s First Enterprise Data Cloud in Webinar. On June 18th, Cloudera provided an exclusive preview of these capabilities, and more, with the introduction of Cloudera Data Platform (CDP), the industry’s first enterprise data cloud. Highlights of Q&A Session.

Enterprise 87

Enterprise Cloud Data Machine Learning 87

AWS Machine Learning - AI

FEBRUARY 29, 2024

To learn more about the capabilities of Amazon Bedrock and knowledge bases, refer to Knowledge base for Amazon Bedrock. About the Authors Mark Roy is a Principal Machine Learning Architect for AWS, helping customers design and build AI/ML solutions. His expertise is in full stack application and machine learning development.

Knowledge Base 137

Knowledge Base Artificial Inteligence Study AWS 137

ParkMyCloud

DECEMBER 11, 2020

As another free Google Cloud training option, Google has also teamed up with Coursera , an online learning platform founded by Stanford professors, to offer courses online so you can “skill up from anywhere.”. Here you’ll learn new skills in a GCP environment and earn cloud badges along the way. Plural Sight.

Google Cloud 97

Google Cloud Training Resources Cloud 97

Samanage

APRIL 18, 2019

These days, it seems like you can’t spend more than a few moments surfing the Internet without running across an article, blog post, or webinar devoted to how artificial intelligence (AI) is going to radically change the face of how we currently do business. AI as a Service. Build a robust service catalog to automate multi-step processes.

Artificial Inteligence 81

Artificial Inteligence Artificial Intelligence Machine Learning Technical Review 81

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. The post The Future of the Data Lakehouse – Open appeared first on Cloudera Blog.

Data 94

Data Analytics Open Source Architecture 94

TIBCO - Connected Intelligence

DECEMBER 9, 2019

Suddenly, there is a proliferation of cloud-based databases and open-source machine learning development frameworks like SageMaker and TensorFlow—all of them now being heavily promoted by the major cloud vendors (Amazon, Microsoft, Google, and more). . What to use—when and how . Proof it’s as easy as it sounds . It really is that easy.

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Artificial Inteligence Machine Learning Analytics Cloud 5

Cloudera

DECEMBER 14, 2020

One trend that we’ve seen this year, is that enterprises are leveraging streaming data as a way to traverse through unplanned disruptions, as a way to make the best business decisions for their stakeholders. . Today, a new modern data platform is here to transform how businesses take advantage of real-time analytics.

Analytics 71

Analytics Big Data Government Cloud 71

Apiumhub

JULY 16, 2019

Adi Polak is an experienced Software Engineer with a demonstrated history of working in the big data industry. Skilled in Java, Scala, Big Data, Machine Learning, and Software Design. focused in Software and Information Systems Engineering, Machine Learning program from Ben-Gurion University of the Negev.

Software Development 111

Software Development Software Review Technical Review Software 111

Capgemini

MAY 31, 2021

Continuous Touchless Demand Forecasting is defined by Capgemini Invent as a capability that capitalizes on Big Data, Artificial Intelligence, and Machine Learning to “ recognize historical patterns, select best-fit statistical models, and draw on a variety of inputs and forward-looking variables, (.) Find out more.

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Artificial Inteligence Agile Artificial Intelligence Machine Learning 52

Cloudera

NOVEMBER 2, 2020

Correlations across data domains, even if they are not traditionally stored together (e.g. real-time customer event data alongside CRM data; network sensor data alongside marketing campaign management data). The extreme scale of “big data”, but with the feel and semantics of “small data”.

Data 97

Data Analytics Storage Big Data 97

Cloudera

MAY 28, 2019

Gartner states that “By 2022, 75% of new end-user solutions leveraging machine learning (ML) and AI techniques will be built with commercial instead of open source platforms” ¹. Spoiler alert: it’s not because data scientists will stop relying on open source for the latest innovation in ML algorithms and development environments.

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Compliance Innovation Meeting Industry 50

Cloudera

MAY 22, 2018

for the Oracle Big Data Appliance). To see the new capabilities in action, join our webinar on 13 June 2018. Learn more about how Cloudera Data Science Workbench makes your data science team more productive. Learn more about how Cloudera Data Science Workbench makes your data science team more productive.

Data 41

Data Load Balancer Machine Learning Artificial Inteligence 41

Cloudera

SEPTEMBER 5, 2018

This architecture also features end-to-end data management and analytics capabilities, including the ability to push machine learning and intelligence back out to the ‘edge’ for real-time decision making. End-to-End Analytics & Machine Learning. End-to-End Data Security & Compliance.

IoT 47

IoT Architecture Artificial Inteligence Machine Learning 47

Datavail

JULY 7, 2022

Meanwhile, in an informal survey of attendees at a recent Datavail webinar, the majority (75 percent) of attendees said that their organization was pursuing a “hybrid” (partly on-premises and partly in the cloud) strategy for business intelligence and analytics. High data volumes. Artificial intelligence and machine learning.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

Perficient

MARCH 3, 2023

Finally, you can further optimize the content experience with Adobe and AWS Solutions and service such as: Adobe Sensei, an industry-leading AI, machine learning solution to cut the time spent on tedious tasks like tagging, cropping, and adapting assets for each channel and device. For more information on this please read this article.

AWS 64

AWS Technical Review Load Balancer Cloud 64

Cloudera

SEPTEMBER 11, 2018

Last week Cloudera introduced an open end-to-end architecture for IoT and the different components needed to help satisfy today’s enterprise needs regarding operational technology (OT), information technology (IT), data analytics and machine learning (ML), along with modern and traditional application development, deployment, and integration.

IoT 40

IoT Artificial Inteligence Machine Learning Data 40

Actian

JULY 26, 2019

Hybrid infrastructure support: How well does your future warehouse need to support the various current and future operational requirements of your organization by enabling secure access from anywhere, ingesting data in real time, and providing elasticity to increase or decrease compute and storage resources when you need to? Here’s Why , ….

Cloud 40

Cloud Data Analytics Case Study 40

ProtectWise

MAY 22, 2017

Basic rules can be written to correlate known indicators and then report on the results but SIEMs are not good at detecting unknown attacks, analyzing big data in real time or understanding network and user behaviors. Yet, despite the limited visibility that SIEMs provide, they are still the go-to products for incident investigations.

Malware 40

Malware Artificial Inteligence Machine Learning Analysis 40

Altexsoft

NOVEMBER 10, 2022

You can’t imagine modern healthcare without data science. Bioinformatics – a modern area of study that sits between biology, medicine, mathematics, and computer science – is using complex software and big data analysis to understand the disease better than it was ever possible, and is succeeding at that. Big data scalability.

Analysis 52

Analysis Data Study Research 52

Cloudera

JULY 14, 2023

Introduction For more than a decade now, the Hive table format has been a ubiquitous presence in the big data ecosystem, managing petabytes of data with remarkable efficiency and scale. Watch our webinar Supercharge Your Analytics with Open Data Lakehouse Powered by Apache Iceberg.

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Backup Data Engineering Engineering Data 70

TIBCO - Connected Intelligence

FEBRUARY 22, 2021

For example, to become a data scientist, you must put in the work, gain experience with your own passion projects, and develop your skills over time to really change your career path. Ground level, you need some type of statistical and machine learning experience. For big data, Spark is worth learning as well.

Technical Advisors 26

Technical Advisors Data Artificial Inteligence Machine Learning 26

Mobilunity

DECEMBER 5, 2023

AI Engineering Is the Development of AI Tools AI engineering is responsible for creating machine algorithms that can understand and write texts, recognize human speech and reply, analyze and create images and videos, compose music, and produce code. Generate 3 pitch ideas for a webinar to promote a copywriting course.”

Engineering 52

Engineering ChatGPT Software Review Technical Review 52

Altexsoft

AUGUST 19, 2022

Premium version gives you access to AI-generated insights (text analytics, image detection, and automated machine learning ), self-service data preparation capabilities, and simplified data management. There’s also a collection of training webinars, tips and tricks section, and news about upcoming events.

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

CodeSignal

MAY 2, 2018

So, some fail to realize that many recruiting processes and tools currently in use will soon improve significantly by the continual learning provided by Artificial Intelligence (AI). Recruiting leaders shouldn’t be surprised that I predict that “machine learning will soon begin to dominate every major aspect of recruiting.”

Recruiting 40

Recruiting Artificial Inteligence Machine Learning Artificial Intelligence 40

CodeSignal

MAY 2, 2018

So, some fail to realize that many recruiting processes and tools currently in use will soon improve significantly by the continual learning provided by Artificial Intelligence (AI). Recruiting leaders shouldn’t be surprised that I predict that “machine learning will soon begin to dominate every major aspect of recruiting.”

Recruiting 40

Recruiting Artificial Inteligence Machine Learning Artificial Intelligence 40

Cloudera

DECEMBER 28, 2017

With big data platforms, like ones based on open source software, banks can more effectively adapt to and quickly manage the wave of rules coming at them. We’re seeing a large increase in regulatory demand, the amount of data that we have to produce, and the accuracy of that information as well.

Banking 40

Banking Compliance Big Data Software Review 40

Altexsoft

NOVEMBER 7, 2022

DevOps tasks — for example, creating scheduled backups and restoring data from them. Airflow is especially useful for orchestrating Big Data workflows. Airflow 101: Essential Tips for Beginners is a webinar by Astronomer to introduce key concepts and components of the platform as well as best practices for working with it.

Weak Development Team 52

Weak Development Team Technical Review Software Review Data Engineering 52