Advancing Analytics

JANUARY 23, 2023

In this blog post, we will explore some common use cases for data and AI in manufacturing and the benefits they can bring. By analysing sensor data from machines and equipment, manufacturers can predict when maintenance is needed before a breakdown occurs. The benefits of using data and AI in manufacturing are numerous.

Manufacturing 52

Manufacturing Architecture Marketing Management 52

Pure Storage

MARCH 7, 2023

A Compression Algorithm Tailored for and by Real-world Data The DirectCompress Accelerator compresses data using Pure’s proven in-house compression algorithm built over years of advanced machine learning.

Capacity 52

Capacity Media Management 52

Pure Storage

SEPTEMBER 28, 2023

Leadership Challenges with AI in the Workplace: How to Combat Bias in AI by Pure Storage Blog AI in the enterprise is making headlines in a big way again, which makes it the perfect time to revisit challenges associated with this highly disruptive technology. So what about the cons? AI Is Inevitable. Bias Doesn’t Have to Be.

Technology 52

Technology Application Security 52

Pure Storage

AUGUST 7, 2023

How Automation Can Evolve (and Improve) the Role of DBA by Pure Storage Blog Automation is no longer novel—it’s practical. Optimists say that machines will free human workers to do higher-value, more creative work. In other words, people want to learn and grow.” What’s the Perceived Threat?

Advertising 98

Advertising Capacity Consulting Technology 98

Pure Storage

AUGUST 4, 2022

These aren’t arcade-style simulators; they’re hyper-realistic, data-driven systems powered by algorithms that are fed data from cars, tracks, and competitors. . In a word: algorithms. Algorithms and machine learning models make it possible to turn millions of data points into conclusions, patterns, and predictions.

Sports 98

Sports Technology Strategic Security 98

Pure Storage

OCTOBER 17, 2023

Predictive AI vs. Generative AI by Pure Storage Blog Artificial intelligence (AI) is evolving rapidly, as are the distinctions between various AI-derived approaches. Since the search engine adjusts its results with every new query, it’s in effect performing another type of AI: machine learning (ML). What Is Generative AI?

Education 52

Education Application Security Government 52

Pure Storage

FEBRUARY 23, 2024

Fake It ’Til You Make It: Why Synthetic Data Is on the Rise by Pure Storage Blog We tend to shy away from “synthetic” anything—food, clothing, or building materials, for example. Thanks in part to the rise of AI and machine learning, the appetite for data is off the charts.

Marketing 52

Marketing Application Mitigation Government 52

Pure Storage

AUGUST 23, 2023

by Pure Storage Blog Graphics processing units (GPUs) and field programmable gate arrays (FPGAs) are two of the three main processor types for imaging and other heavy calculations. Because its circuitry is not hard-etched, it can flexibly be adapted to a specific machine learning algorithm’s needs.In

Architecture 52

Architecture Application Telecommunications Marketing 52

Advancing Analytics

JUNE 24, 2022

In earlier blogs, Get Started with Clustering: The Easy Way and 10 Incredibly Useful Clustering Algorithms You Need To Know we explained the idea of clustering through a simple example and explored the top ten clustering algorithms used by data scientists and machine learning practitioners.

Banking 52

Banking Application Marketing Strategic 52

Pure Storage

OCTOBER 4, 2022

Banks and financial firms are being inundated with stories heralding the benefits of AI and its close cousins, machine learning and deep learning. In previous posts, we looked at some of the hottest areas for AI in financial services and the top challenges to be addressed when implementing an AI or machine learning program. .

Banking 59

Banking Financial Services Strategic Application 59

Pure Storage

OCTOBER 25, 2023

How to Outsmart the GPU Shortage with Storage Optimized for AI by Pure Storage Blog In just the last few years, artificial intelligence (AI) has transformed from a cutting-edge concept to an integral part of various industries. GPUs enable rapid parallel computations required for complex machine learning tasks.

Fashion 52

Fashion Architecture Capacity Technology 52

Security Industry Association

JUNE 7, 2023

Students are now learning to apply math with computational thinking and algebraic reasoning merged with probability statistics based on AI models. This is also coupled with machine learning to use, understand and develop applications and algorithms to solve real-world problems.

Education 52

Education Technology Marketing Publishing 52

Pure Storage

JANUARY 18, 2022

Traditional business models are changing as more companies leverage predictive analytics and algorithms to discover trends and make better-informed decisions. With data analytics and machine learning algorithms, they can quickly assess the profitability of a location based on ratings, traffic, occupancy, rental income, and ROI for the area.

Marketing 52

Marketing Alert Internet Media 52

Pure Storage

MARCH 22, 2022

Some of the most common techniques include employing algorithms, data discovery, data mining, filtering, probability theory, and sensitivity and statistical analysis. Because of the massive amount of information used in multiple levels of investigation, a machine learning system that can work through terabytes of data is very beneficial.

Hospitality 52

Hospitality Healthcare Application Insurance 52

Pure Storage

JANUARY 12, 2024

ETL vs. ELT by Pure Storage Blog Extract, transform, and load (ETL) and extract, load, and transform (ELT) are data pipeline workflows. For example, ingestion of logs from network events could be loaded into a data warehouse where analytics run artificial intelligence (AI) algorithms to determine an anomalous event.

Data Integrity 59

Data Integrity Application Travel Evaluation 59

Pure Storage

APRIL 11, 2022

When combined with artificial intelligence and machine learning capabilities, future development possibilities are almost endless. Thirteen years later, the Shor Algorithm was developed, demonstrating the fantastic possibilities quantum computers had. appeared first on Pure Storage Blog.

Cybersecurity 52

Cybersecurity Internet Security Technology 52

Pure Storage

JUNE 14, 2022

Example: Machine Learning with K-means. KMeans is an unsupervised machine learning algorithm for clustering, which works by iteratively refining cluster centers. The post Apache Spark on FlashBlade Part 2 appeared first on Pure Storage Blog.

Authorization 52

Authorization Architecture Management 52

Advancing Analytics

JUNE 6, 2022

MLOps (Machine Learning Operations) is the set of processes for the production ML lifecycle, basically a way to efficiently and reliably deploy and maintain ML models in production. If you want to know more about what deployment options there are in Azure, you can check out the following blog. Monitor Phase.

Evaluation 52

Evaluation Benchmark Audit Insurance 52

Pure Storage

SEPTEMBER 13, 2022

In many cases, SIEMs today are using user and entity behavioral analysis to look for those anomalies—and those machine learning algorithms need the data in order to be trained,” Michelle said. Put Data to Work appeared first on Pure Storage Blog. To do this, SIEM products need AI and lots of data. “In Data Keeps Coming.

Architecture 52

Architecture Cybersecurity Alert Capacity 52

Pure Storage

SEPTEMBER 18, 2023

Data Storage and the Future of the Automotive Industry by Pure Storage Blog The automotive industry has undergone remarkable transformations over the last five years, with advancements in technology driving major shifts in design, safety, efficiency, and connectivity. Managing and storing this data efficiently is crucial.

Automotive 52

Automotive Manufacturing Architecture Entertainment 52

Pure Storage

AUGUST 16, 2021

If you can cross-reference it with unstructured data, such as social media data and website heatmaps, you can learn more. AI and machine learning can churn through huge volumes of data: media, imaging, audio, sensor data, text data, and much more. . What Else Can We Learn from Modern Data?

Retail 52

Retail Healthcare Damage Assessment Entertainment 52

Advancing Analytics

JANUARY 27, 2023

See our recent blog on recommendation engines. Customer 360 can be used in many verticals or industries, but how does machine learning come into the picture? How can we use machine learning to achieve a ML-driven 360- customer view?

Telecommunications 52

Telecommunications Insurance Insurance Retail 52

Pure Storage

OCTOBER 24, 2022

Advances in deep neural networks have ignited a new wave of algorithms and tools for data scientists to tap into their data with AI. Data is at the heart of modern deep learning algorithms. This lifecycle applies to any type of parallelized machine learning, not just neural networks or deep learning.

Architecture 122

Architecture Capacity Evaluation Management 122

Pure Storage

FEBRUARY 24, 2022

Advanced routing and matching algorithms also direct cars to people, matching ride requests to the nearest available driver. Pure Storage ® FlashBlade ® powers real-time analytics, machine learning, and artificial intelligence for accelerated discoveries and insights. auto-generate orders. prepare and send invoices.

Healthcare 52

Healthcare Airlines Insurance Insurance 52

Pure Storage

SEPTEMBER 23, 2022

This makes them ideal for handling the massively distributed computational processes required for machine learning. In this article, we’ll compare the differences between a CPU and a GPU, as well as the applications for each with machine learning, neural networks, and deep learning. What Is a CPU?

Application 52

Application Architecture Manufacturing Capacity 52

Pure Storage

FEBRUARY 12, 2024

Harnessing Static and Dynamic Code Scanning in DevSecOps by Pure Storage Blog This blog on static and dynamic code scanning in DevSecOps was co-authored by Dr. Ratinder Paul Singh Ahuja, CTO for Security and Networking, and Rajan Yadav , Director of Engineering, CNBU (Portworx), Pure Storage.

Vulnerability 59

Vulnerability Mitigation Authentication Authorization 59

Advancing Analytics

APRIL 30, 2024

Imagine stepping into a world where artificial intelligence (AI) and machine learning (ML) aren't just about complex algorithms and code but about making things run smoother, safer, and on a bigger scale. LLMOps VS MLOps MLOps is all about managing the entire life cycle of machine learning models, from cradle to grave.

Evaluation 59

Evaluation Application High Availability Management 59

Pure Storage

SEPTEMBER 1, 2023

How AI Powers Chess Engines and Creates Grandmasters by Pure Storage Blog When it comes to chess, data is the ultimate tool. Chess data has fueled AI and machine learning to create some of the toughest chess opponents possible. Chess engines also use machine learning to become better than other chess engines.

Capacity 119

Capacity Management Technology Security 119

Pure Storage

OCTOBER 6, 2022

The Feed”: How Data, Algorithms, and Machine Learning Determine What We See. About six factors determine what you see: Interest: The algorithm logs what type of content you like to see. Following: The more accounts you follow, the more variety the algorithm has to pull from, and the more varied your feed will be.

Media 98

Media Advertising Retail Marketing 98

Pure Storage

NOVEMBER 13, 2023

How to Take Your AI into Production without Breaking the Bank by Pure Storage Blog AI is like any other technology: The more you use it, the better and more helpful it becomes, but also, typically, the more expensive it becomes. It’s a complex model based on a combination of analytical and machine learning algorithms.

Banking 116

Banking Capacity Cloud Computing Activation 116

Pure Storage

OCTOBER 26, 2022

The terms “neural network” and “deep learning” are often used interchangeably, but there are some nuanced differences between the two. While both are subsets of machine learning , a neural network mimics the way the biological neurons in the human brain work, while a deep learning network comprises several layers of neural networks. .

Application 59

Application Advertising Architecture Activation 59

Pure Storage

NOVEMBER 15, 2021

Enterprises across every industry are increasingly recognizing the power of machine learning. Machine learning (ML) is a type of data analysis based on the concept that systems can use data to learn with little to no human effort needed. Make Machine Learning Work for You: Choosing the Right Tools.

Application 72

Application Architecture Media Marketing 72

Advancing Analytics

MAY 17, 2023

Data Science Fabric provides a variety of data science tools, including machine learning experiments, models, and notebooks, to support users throughout the data science process. Both SynapseML and Spark MLlib enable users to leverage powerful and scalable machine learning capabilities within the platform.

Data Integrity 64

Data Integrity Architecture Internet Technology 64

Advancing Analytics

APRIL 20, 2023

To generate predictions from a machine learning model, there are two main approaches: real-time (online) inference and batch (offline) inference. The method of deploying machine learning models will vary depending on whether the use case is real-time or batch inference. Managed Endpoints – What are they?

Management 52

Management Banking Authentication Marketing 52

Pure Storage

APRIL 4, 2022

There are countless applications of AI in the back offices of hospitals and other healthcare organizations, where machine learning helps identify workflow efficiencies and cost-saving measures. Let’s take a look at six specific ways AI and machine learning can help save lives. .

Healthcare 52

Healthcare Hospitality Alert Application 52

Pure Storage

JULY 26, 2023

Top 9 Considerations for Enterprise AI by Pure Storage Blog This article on enterprise AI initially appeared on Kirk Borne’s LinkedIn page. The blog was republished with the author’s credit and consent. In this article here, we offer some considerations for enterprise AI to add to those strategic conversations.

Application 52

Application Strategic Technology Logistics 52

Pure Storage

JANUARY 20, 2022

As more data becomes available, AI and machine learning algorithms can give better insights that improve operational efficiency, lead to greater efficiency, and help companies deliver better services to their customers—all of which contribute to lower expenses. Like this article and want to read more?

Advertising 139

Advertising Retail Marketing Audit 139