TechCrunch

SEPTEMBER 27, 2021

As more enterprises migrate to cloud-based architectures, they are also taking on more applications (because they can) and, as a result of that, more complex workloads and storage needs. Machine learning and other artificial intelligence applications add even more complexity.

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Artificial Inteligence Applications Cloud Artificial Intelligence 246

Apiumhub

DECEMBER 9, 2024

Azure Key Vault Secrets offers a centralized and secure storage alternative for API keys, passwords, certificates, and other sensitive statistics. Azure Key Vault is a cloud service that provides secure storage and access to confidential information such as passwords, API keys, and connection strings. What is Azure Key Vault Secret?

Azure 91

Azure Analytics Storage Machine Learning 91

CIO

APRIL 17, 2025

The rush to AI Data quality problems have been compounded in the past two years, as many companies rushed to adopt gen AI tools , says Rodion Myronov, Softserves assistant vice president for big data and analytics. In some cases, internal data is still scattered across many databases, storage locations, and formats.

Data 195

Data Weak Development Team Fractional CTO Software Review 195

AWS Machine Learning - AI

OCTOBER 31, 2024

The solution integrates large language models (LLMs) with your organization’s data and provides an intelligent chat assistant that understands conversation context and provides relevant, interactive responses directly within the Google Chat interface.

Generative AI 123

Generative AI Lambda Applications AWS 123

AWS Machine Learning - AI

MARCH 5, 2025

These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques. To learn more about FMEval, see Evaluate large language models for quality and responsibility of LLMs.

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Generative AI Systems Review Software Review Artificial Inteligence 76

Dell EMC

JULY 18, 2019

The new Dell EMC DSS 8440 server accelerates machine learning and other compute-intensive workloads with the power of up to 10 GPUs and high-speed I/O with local storage. As high-performance computing, data analytics and artificial intelligence converge, the trend toward GPU-accelerated computing is shifting into high gear.

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Artificial Inteligence Machine Learning Artificial Intelligence Storage 88

CIO

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

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Artificial Inteligence Data Artificial Intelligence Analytics 177

AWS Machine Learning - AI

AUGUST 21, 2024

Amazon DataZone makes it straightforward for engineers, data scientists, product managers, analysts, and business users to access data throughout an organization so they can discover, use, and collaborate to derive data-driven insights. You can extend this solution to generative artificial intelligence (AI) use cases as well.

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Artificial Inteligence Machine Learning Government Software Review 121

Openxcell

MARCH 30, 2023

From human genome mapping to Big Data Analytics, Artificial Intelligence (AI),Machine Learning, Blockchain, Mobile digital Platforms (Digital Streets, towns and villages),Social Networks and Business, Virtual reality and so much more. What is Machine Learning? What is IoT or Internet of Things?

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Artificial Inteligence Machine Learning IoT Internet 98

CIO

MAY 12, 2022

Predictive analytics tools blend artificial intelligence and business reporting. Composite AI mixes statistics and machine learning; industry-specific solutions. Supports larger data management architecture; modular options available. What are predictive analytics tools? On premises or in SAP cloud. Free tier.

Analytics 206

Analytics Tools Artificial Inteligence Open Source 206

CIO

JANUARY 20, 2023

Topping the list of executive priorities for 2023—a year heralded by escalating economic woes and climate risks—is the need for data driven insights to propel efficiency, resiliency, and other key initiatives. Many companies have been experimenting with advanced analytics and artificial intelligence (AI) to fill this need.

Analytics 205

Analytics Artificial Inteligence Artificial Intelligence Hardware 205

TechCrunch

SEPTEMBER 15, 2021

The company currently has “hundreds” of large enterprise customers, including Western Union, FOX, Sony, Slack, National Grid, Peet’s Coffee and Cisco for projects ranging from business intelligence and visualization through to artificial intelligence and machine learning applications.

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Artificial Inteligence Data Weak Development Team Artificial Intelligence 234

CIO

JANUARY 19, 2024

Whether you’re looking to earn a certification from an accredited university, gain experience as a new grad, hone vendor-specific skills, or demonstrate your knowledge of data analytics, the following certifications (presented in alphabetical order) will work for you. Check out our list of top big data and data analytics certifications.)

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Artificial Inteligence Data Machine Learning Azure 189

AWS Machine Learning - AI

AUGUST 2, 2024

This is a guest post co-written with Vicente Cruz Mínguez, Head of Data and Advanced Analytics at Cepsa Química, and Marcos Fernández Díaz, Senior Data Scientist at Keepler. Generative artificial intelligence (AI) is rapidly emerging as a transformative force, poised to disrupt and reshape businesses of all sizes and across industries.

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Artificial Inteligence Generative AI Energy Knowledge Base 126

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Impedance mismatch between data scientists, data engineers and production engineers.

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Artificial Inteligence Machine Learning Scalability Data Engineering 107

TechCrunch

JULY 12, 2022

The fundraising perhaps reflects the growing demand for platforms that enable flexible data storage and processing. One increasingly popular application is big data analytics, or the process of examining data to uncover patterns, correlations and trends (e.g., customer preferences).

Storage 206

Storage Big Data Analytics Survey 206

Perficient

NOVEMBER 17, 2024

It is designed to store all types of data (structured, semi-structured, unstructured) and support diverse workloads, including business intelligence, real-time analytics, machine learning and artificial intelligence.

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Artificial Inteligence Machine Learning Architecture Analytics 59

Cloudera

APRIL 6, 2022

Webb’s gimbaled antenna assembly, which includes the telescope’s high-data-rate dish antenna, must transmit about a Blu-ray’s worth of science data — that’s 28.6 The telescope’s storage ability is limited — 65 gigabytes — which requires regular sending back of data to keep from filling up the hard drive.

Big Data 103

Big Data Artificial Inteligence Data Machine Learning 103

OTS Solutions

OCTOBER 10, 2023

also known as the Fourth Industrial Revolution, refers to the current trend of automation and data exchange in manufacturing technologies. It encompasses technologies such as the Internet of Things (IoT), artificial intelligence (AI), cloud computing , and big data analytics & insights to optimize the entire production process.

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Artificial Inteligence Mobile Industry Cloud 147

AWS Machine Learning - AI

AUGUST 8, 2024

As one of the largest AWS customers, Twilio engages with data, artificial intelligence (AI), and machine learning (ML) services to run their daily workloads. Data is the foundational layer for all generative AI and ML applications. The following diagram illustrates the solution architecture.

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Artificial Inteligence Data Generative AI AWS 127

CIO

APRIL 1, 2025

Cohesive, structured data is the fodder for sophisticated mathematical models that generates insights and recommendations for organizations to take decisions across the board, from operations to market trends. But with big data comes big responsibility, and in a digital-centric world, data is coveted by many players.

Data 87

Data Authentication Compliance Artificial Inteligence 87

O'Reilly Media - Data

MAY 3, 2018

Machine learning. For machine learning, let me focus on recent work involving deep learning (currently the hottest ML method). In multi-task learning, the goal is to consider fitting separate but related models simultaneously. The ethics of artificial intelligence”. Closing thoughts.

Analytics 186

Analytics Artificial Inteligence Data Machine Learning 186

CIO

OCTOBER 13, 2023

Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence. Communication and political savvy: Data architects need people skills.

Data 198

Data Data Engineering Database Administration Artificial Inteligence 198

The Accidental Successful CIO

MAY 15, 2019

CIOs need to understand what they are going to do with big data Image Credit: Merrill College of Journalism Press Releases. As a CIO, when we think about big data we are faced with a number of questions having to do with the importance of information technology that we have not had to deal with in the past.

Big Data 85

Big Data Data Machine Learning Artificial Inteligence 85

Infinidat

MARCH 10, 2021

Re-Thinking the Storage Infrastructure for Business Intelligence. With digital transformation under way at most enterprises, IT management is pondering how to optimize storage infrastructure to best support the new big data analytics focus. Adriana Andronescu. Wed, 03/10/2021 - 12:42.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98

AWS Machine Learning - AI

OCTOBER 2, 2024

This approach, when applied to generative AI solutions, means that a specific AI or machine learning (ML) platform configuration can be used to holistically address the operational excellence challenges across the enterprise, allowing the developers of the generative AI solution to focus on business value.

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Generative AI Artificial Inteligence AWS Government 129

TechCrunch

JUNE 25, 2021

That whole model is breaking down.” He acknowledges that traditional big data warehousing works quite well for business intelligence and analytics use cases. But that’s not real-time and also involves moving a lot of data from where it’s generated to a centralized warehouse.

Machine Learning 210

Machine Learning Artificial Inteligence Big Data Business Intelligence 210

d2iq

FEBRUARY 19, 2021

Going from a prototype to production is perilous when it comes to machine learning: most initiatives fail , and for the few models that are ever deployed, it takes many months to do so. As little as 5% of the code of production machine learning systems is the model itself. Adapted from Sculley et al.

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Artificial Inteligence Machine Learning Technical Review Software Review 103

Dell EMC

MAY 28, 2020

About 20 years ago, I started my journey into data warehousing and business analytics. Over all these years, it’s been interesting to see the evolution of big data and data warehousing, driven by the rise of artificial intelligence and widespread adoption of Hadoop.

Big Data 95

Big Data Data Artificial Inteligence Artificial Intelligence 95

AWS Machine Learning - AI

JULY 1, 2024

Generative artificial intelligence (AI)-powered chatbots play a crucial role in delivering human-like interactions by providing responses from a knowledge base without the involvement of live agents. She is passionate about designing cloud-centered big data workloads.

Knowledge Base 126

Knowledge Base Artificial Inteligence Generative AI AWS 126

Altexsoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. Which Big Data tasks does Spark solve most effectively? How does it work?

Big Data 98

Big Data Tools Data Storage 98

CTOvision

FEBRUARY 5, 2016

Cognitio ’s Bob Gourley, publisher of CTOvision , has been named one of the “Top 100 Influencers in the Big Data Landscape” by the leading force in influencer identification Onalytica. From their website: The Big Data technology and services market is one of the fastest growing, multi-billion dollar industries in the world.

Big Data 95

Big Data Data Software Review Technical Review 95

CIO

JULY 1, 2024

“L’edge computing è importante perché lavora in bassa latenza con dati locali e in tempo reale, compresi quelli che servono per condurre le analisi e fare machine learning. Oggi le aziende sono concentrate sui Large Language Model (LLM), ma questi modelli sono enormi e le imprese, invece, hanno bisogno di applicazioni mirate.

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Artificial Inteligence Cloud Trends Data Center 153

CIO

FEBRUARY 14, 2023

By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports. Investments in artificial intelligence are helping businesses to reduce costs, better serve customers, and gain competitive advantage in rapidly evolving markets. Instant reactions to fraudulent activities at banks.

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Artificial Inteligence Strategy Data Machine Learning 172

Altexsoft

MAY 27, 2020

Machine learning (ML) history can be traced back to the 1950s, when the first neural networks and ML algorithms appeared. Analysis of more than 16.000 papers on data science by MIT technologies shows the exponential growth of machine learning during the last 20 years pumped by big data and deep learning advancements.

Artificial Inteligence 89

Artificial Inteligence Machine Learning Architecture Training 89

Cloudera

JANUARY 20, 2021

Machine learning is now being used to solve many real-time problems. One big use case is with sensor data. Corporations now use this type of data to notify consumers and employees in real-time. Serving The Model . Make sure you read Part 1 and Part 2 before reading this installment. Background / Overview.

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Artificial Inteligence Machine Learning Applications Data 115

Cloudera

SEPTEMBER 15, 2022

Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases. There are also newer AI/ML applications that need data storage, optimized for unstructured data using developer friendly paradigms like Python Boto API.

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Storage System Artificial Inteligence Big Data 87