CIO

FEBRUARY 14, 2023

To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making. AI continues to transform customer engagements and interactions with chatbots that use predictive analytics for real-time conversations.

Artificial Inteligence 289

Artificial Inteligence Strategy Data Machine Learning 289

DevOps.com

OCTOBER 17, 2019

Today’s conventional wisdom states that hybrid latency prevents you from running analytic and machine learning workloads in the cloud with the data on-prem. The post Building Hybrid and Multi-Cloud Architectures for Analytics and AI appeared first on DevOps.com.

Analytics 65

Analytics Architecture Cloud Machine Learning 65

Cloudera

OCTOBER 30, 2023

The public cloud is increasingly becoming the preferred platform to host data analytics – related projects, such as business intelligence, machine learning (ML), and AI applications. The traditional “lift and shift” approach is not appropriate when building cost-effective cloud architectures. Why FinOps?

Analytics 75

Analytics Cloud Technical Review Resources 75

Cloudera

AUGUST 3, 2021

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Improve Visibility within Supply Chains.

Analytics 107

Analytics Open Source Government Machine Learning 107

Cloudera

MARCH 26, 2024

Cloudera: Your Trusted Partner in AI With over 25 Exabytes of Data Under Management and hundreds of customers leveraging our platform for Machine Learning, Cloudera has a long and successful history as an industry leader. ” said Sanjeev Mohan, Principal, SanjMo & Former Gartner Research VP, Data & Analytics.

Artificial Inteligence 79

Artificial Inteligence Artificial Intelligence Machine Learning Architecture 79

Apiumhub

APRIL 6, 2021

There are a lot of excellent blogs on data science, and it can be a little overwhelming to know where to start. This article will list some of the most useful blogs for everyone – from data science experts to complete newbies. Top Data Science Blogs to follow.

Technical Review 52

Technical Review Data Artificial Inteligence Software Review 52

OTS Solutions

AUGUST 16, 2023

Artificial Intelligence (AI) and Machine Learning (ML) have been at the forefront of app modernization, helping businesses to streamline workflows, enhance user experience, and improve app security measures. AI and ML are transforming the way applications are developed and optimized.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

OTS Solutions

AUGUST 16, 2023

Artificial Intelligence (AI) and Machine Learning (ML) have been at the forefront of app modernization, helping businesses to streamline workflows, enhance user experience, and improve app security measures. AI and ML are transforming the way applications are developed and optimized.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

OTS Solutions

JUNE 2, 2023

has been transforming the manufacturing sector through the integration of advanced technologies such as artificial intelligence, the Internet of Things, and big data analytics. These technologies allow mobile apps to learn and adapt to specific equipment conditions, further reducing the risk of equipment failures. Industry 4.0

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

Cloudera

OCTOBER 4, 2023

Without real-time analytics we won’t catch the threats until after they’ve caused significant damage. We can also benefit from real-time stock ticker analytics, and other highly monetizable data assets. By capitalizing on the business value of fast-moving and real-time analytics, we can do some game changing things.

Analytics 84

Analytics Machine Learning Artificial Inteligence Telecommunications 84

UruIT

JUNE 8, 2019

Applying AI and machine learning to creating solutions for your business. Over the past couple of years, we’ve committed ourselves to develop UruIT’s Machine Learning capabilities to offer its advantages to our partners. . We worked in the front and back end , especially on the app’s component-oriented architecture.

Machine Learning 40

Machine Learning Artificial Inteligence Systems Review Software Review 40

Cloudera

DECEMBER 6, 2021

All three organizations have partnered with Cloudera, leveraging a hybrid or cloud-based architecture to improve the lives of the people who depend on their organizations’ data. The post How Hybrid and Cloud-Based Architectures are Unlocking the Power of Data appeared first on Cloudera Blog. Ares Trading SA (Merck).

Architecture 79

Architecture Cloud Data Chemicals 79

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 117

Artificial Inteligence Generative AI Security Applications 117

Cloudera

JUNE 18, 2022

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake.

Data 89

Data Analytics Open Source Architecture 89

Cloudera

MARCH 17, 2023

I love the enthusiasm surrounding ChatGPT and the eagerness to learn about modern data architectures such as data lakehouses, data meshes, and data fabrics. Hopefully this blog will give ChatGPT an opportunity to learn and correct itself while counting towards my 2023 contribution to social good.

ChatGPT 60

ChatGPT Education Data Comparison 60

Cloudera

FEBRUARY 8, 2021

In addition, moving outside the vehicle, existing fragmented approaches for data management associated with the machine learning lifecycle are limiting the ability to deploy new use cases at scale. The vehicle-to-cloud solution driving advanced use cases.

Data 106

Data Machine Learning Artificial Inteligence Automotive 106

Cloudera

JUNE 2, 2021

As critical elements in supplying trusted, curated, and usable data for end-to-end analytic and machine learning workflows, the role of data pipelines is becoming indispensable. Data pipelines are in high demand in today’s data-driven organizations.

Data 89

Data Data Engineering Machine Learning Artificial Inteligence 89

Palo Alto Networks

FEBRUARY 22, 2024

These connectivity attributes are required to implement operational technology (OT) network transformations through advanced technologies, like machine learning (ML), artificial intelligence (AI) and automation, the building blocks for realizing the potential of Industry 4.0 with Private 5G appeared first on Palo Alto Networks Blog.

Network 83

Network Industry Artificial Inteligence Artificial Intelligence 83

Cloudera

JUNE 7, 2022

Leading industry analysts rated Cloudera better at analytic and operational data use cases than many well-known cloud vendors. And we were cited by those same analysts as rating better than all vendors for hybrid and multi-cloud analytic solutions. Only Cloudera enables multifunction analytics that can be written once and run anywhere.

Data 107

Data Architecture Analytics Government 107

Cloudera

JANUARY 5, 2023

Faced with even more pressure to remain resilient and agile amid looming global economic threats, Asia-Pacific (APAC) region businesses are looking to further mobilize emerging technologies such as artificial intelligence (AI) and machine learning that will optimize operational efficiencies and cost savings. .

Artificial Inteligence 52

Artificial Inteligence Trends Data Machine Learning 52

Dataiku

JUNE 8, 2022

According to Gartner ® , “More than 85% of organizations will embrace a cloud-first principle by 2025 and will not be able to fully execute on their digital strategies without the use of cloud-native architectures and technologies.”*

Cloud 59

Cloud Azure Machine Learning Artificial Inteligence 59

Mobilunity

NOVEMBER 19, 2023

Forbes reports that 53% of companies are adopting big data analytics, highlighting the growing importance of data-driven insights in today’s business landscape. Data science and analytics professionals earn a median salary of $103,072 , making it one of the highest-paying professions in the U.S.

UI/UX 52

UI/UX Data Machine Learning Artificial Inteligence 52

Cloudera

JANUARY 19, 2022

Gartner® recognized Cloudera in three recent reports – Magic Quadrant for Cloud Database Management Systems (DBMS), Critical Capabilities for Cloud Database Management Systems for Analytical Use Cases and Critical Capabilities for Cloud Database Management Systems for Operational Use Cases. Download the reports to see the detailed scores .

Report 87

Report Technical Advisors Cloud Analytics 87

Palo Alto Networks

JANUARY 26, 2021

This includes having visibility into your network traffic, orchestrating data from sources across the infrastructure, applying machine learning for actionable insights and using automation to take those actions. The post How Your Security Operations Team Can Maintain Zero Trust appeared first on Palo Alto Networks Blog.

Machine Learning 98

Machine Learning Artificial Inteligence Infrastructure Network 98

Datavail

JUNE 19, 2019

Business intelligence and analytics may quite possibly be the most complex segment of a company’s IT environment. The good news is that the very best BI architectures can now easily get to the point of near real-time, where reporting is based on data points that are instantaneously updated from source to report.

Analytics 40

Analytics Cloud Artificial Inteligence Architecture 40

Cloudera

AUGUST 11, 2022

And while operations in the cyber-domain are more likely to make the evening news, there are a vast array of critical use cases that support the military’s need for a data architecture that collects, processes, and delivers any type of data, anywhere. . These requirements could be addressed by a Universal Data Distribution (UDD) architecture.

Data 88

Data Transportation Architecture Scalability 88

Cloudera

NOVEMBER 1, 2022

In the private sector, excluding highly regulated industries like financial services, the migration to the public cloud was the answer to most IT modernization woes, especially those around data, analytics, and storage. Learn more about CDP Private Cloud here. It’s here where the private cloud delivers.

Cloud 84

Cloud Government Storage Analytics 84

Cloudera

JUNE 7, 2023

Cloudera Shared Data Experience (SDX) is a core component of Cloudera Data Platform’s architecture. With persistent context across analytics and cloud environments, SDX simplifies data delivery and access with a unified multi-tenant model. The post How Cloudera Supports Zero Trust for Data appeared first on Cloudera Blog.

Data 78

Data Government Technical Review Policies 78

Cloudera

OCTOBER 5, 2020

Cloudera announced today a new collaboration with NVIDIA that will help Cloudera customers accelerate data engineering, analytics, machine learning and deep learning performance with the power of NVIDIA GPU computing across public and private clouds. Compared to previous CPU-based architectures, CDP 7.1

Enterprise 87

Enterprise Cloud Data Machine Learning 87

Kentik

AUGUST 28, 2019

Selecting a proper telemetry architecture can potentially remove many of the issues—such as security, scaling, polling gaps, resource utilization of the polled device, and so on—around sending and receiving streaming telemetry data. A highly-scalable architecture and framework with more data point granularity and superior performance.

Network 52

Network Analytics Metrics Technical Review 52

Altexsoft

FEBRUARY 11, 2023

The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority.

Data 87

Data Data Engineering Big Data Architecture 87

Perficient

FEBRUARY 20, 2024

In this blog post, we’ll explore the compelling reasons why incorporating Data Cloud alongside an existing CDP can be a game-changer for businesses. AI-Driven Insights and Predictive Analytics Data Cloud leverages advanced artificial intelligence (AI) capabilities to provide actionable insights and predictive analytics.

Artificial Inteligence 59

Artificial Inteligence Cloud Artificial Intelligence Data 59

Cloudera

OCTOBER 11, 2022

Al needs machine learning (ML), ML needs data science. Data science needs analytics. Different data types need different types of analytics – real-time, streaming, operational, data warehouses. First you need the data analytics, data management, and data science tools. And they all need lots of data.

Data 89

Data Analytics Government Cloud 89

Cloudera

FEBRUARY 7, 2019

Who knew that in that search, the company would become the first organization to globally run SAS Viya, a cloud-optimized software, with HDP on GCP to enable modern analytics use cases powered by SAS analytics tools. Implementing a Modern Data Architecture. Reducing Analytic Time to Value by More Than 90 Percent.

Big Data 63

Big Data Analytics Google Cloud Cloud 63

Kentik

FEBRUARY 4, 2021

In the previous two blogs, I talked about the need to gather telemetry data from all of the devices and observation points in your network, and across the different types of telemetry available. Doing this at network scale has been a hard problem for decades, and requires a flexible, scalable, and high-performance data platform. Conclusion.

Network 80

Network Data Storage Analytics 80

Cloudera

AUGUST 3, 2022

Customers will now get the same consistent view of their data with the analytic processing engine of their choice without any compromises. . Analytic engines like Apache Impala adhere to these SDX policies ensuring users see the data they are granted by applying column masking and row filtering as needed. What’s Next. so stay tuned!

Policies 84

Policies Machine Learning Artificial Inteligence Data Engineering 84

AWS Machine Learning - AI

FEBRUARY 6, 2024

The following diagram illustrates the solution architecture. Amazon SQS enables a fault-tolerant decoupled architecture. The solution also uses SageMaker notebooks (labeled T in the preceding architecture) to perform domain adaption, fine-tune the models, and deploy the SageMaker endpoints.

Generative AI 97

Generative AI AWS Lambda Technical Review 97