CIO

OCTOBER 11, 2023

To overcome these challenges, energy companies are increasingly turning to artificial intelligence (AI), particularly generative AI large language models (LLM). addition, to enable AI, organizations need to have the right kind of storage infrastructure.

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Artificial Inteligence Company Generative AI Energy 342

Crunchbase News

DECEMBER 18, 2023

Editor’s note: In 2023, Crunchbase News interviewed active startup investors in artificial intelligence. Repeatedly, what we heard from investors is that the immediate and massive adoption by consumers of AI tools like ChatGPT and image-generation models in the past year was a critical off-to-the-races moment for this industry.

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AWS Machine Learning - AI

DECEMBER 5, 2023

New and powerful large language models (LLMs) are changing businesses rapidly, improving efficiency and effectiveness for a variety of enterprise use cases. Speed is of the essence, and adoption of LLM technologies can make or break a business’s competitive advantage.

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Artificial Inteligence Enterprise Data Generative AI 101

CIO

SEPTEMBER 10, 2024

During the Tencent Global Digital Ecosystem Summit, held at the Shenzhen World Exhibition & Convention Center from September 5-6, Tencent unveiled a slew of cloud and Artificial Intelligence (AI) offerings, proprietary innovations, and global solutions for enterprises to advance their digital transformation efforts.

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CIO

JUNE 11, 2024

Once perceived as an abstract concept, Artificial Intelligence (AI) and generative AI (genAI) have become more normalized as organizations look at ways to implement them into their tech stack. Instead, they need to take a step back and revisit their overall infrastructure, perhaps even take a new approach to computing.

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CIO

AUGUST 20, 2024

The cloud retrospective: A learning curve Cloud computing’s rise a decade ago ushered in Shadow IT, where teams and even individual employees swiped a credit card to gain instant access to vast compute and storage resources.

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CIO

NOVEMBER 20, 2023

As a technology professional, seeing how artificial intelligence (AI) and generative AI/large language models can improve and save lives makes me think about the significant difference this can have on families and communities worldwide–including mine. Fox says it perfectly: “Family is not an important thing.

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O'Reilly Media - Ideas

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. As interest in machine learning (ML) and AI grow, organizations are realizing that model building is but one aspect they need to plan for.

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CIO

OCTOBER 4, 2022

From delightful consumer experiences to attacking fuel costs and carbon emissions in the global supply chain, real-time data and machine learning (ML) work together to power apps that change industries. more machine learning use casesacross the company. By Bryan Kirschner, Vice President, Strategy at DataStax.

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CIO

SEPTEMBER 29, 2023

That’s because generative AI large language models (LLMs) have prowess in text-based generation, readily finding language and word patterns. A lesser-known challenge is the need for the right storage infrastructure, a must-have enabler. Fraud detection and prevention.

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TechCrunch

SEPTEMBER 8, 2022

However, data storage costs keep growing, and the data people keep producing and consuming can’t keep up with the available storage. The partnership focuses on automating the DNA-based storage platform using Seagate’s specially designed electronic chips. Data needs to be stored somewhere.

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Storage Artificial Inteligence Data Chemicals 206

CIO

SEPTEMBER 7, 2023

That’s why, around the world, governments and the defense industry as a whole are now investing and exploring generative artificial intelligence (AI), or large language models (LLMs), to better understand what’s possible. Specifically, existing storage solutions are inadequate.

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Artificial Inteligence Generative AI Storage Government 298

CIO

SEPTEMBER 19, 2024

“As we do that, we’re learning constantly, and that learning allows us to take what otherwise a standard LLM might not know, and then season it with information that is specific to that enterprise so that we can translate their technical speak into something that is understandable.”

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AWS Machine Learning - AI

JULY 3, 2024

Generative AI and transformer-based large language models (LLMs) have been in the top headlines recently. These models demonstrate impressive performance in question answering, text summarization, code, and text generation. Amazon Bedrock : to interact with supported LLMs and embedding models.

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Artificial Inteligence Generative AI Lambda Healthcare 107

CIO

AUGUST 9, 2023

In generative AI, data is the fuel, storage is the fuel tank and compute is the engine. Organizations need massive amounts of data to build and train generative AI models. In turn, these models will also generate reams of data that elevate organizational insights and productivity.

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Generative AI Storage Scalability Technical Review 246

InfoWorld

MAY 28, 2024

Historically, large language models (LLMs) have required substantial computational resources. This means development and deployment are confined mainly to powerful centralized systems, such as public cloud providers.

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Artificial Inteligence Generative AI Cloud Systems Review 84

AWS Machine Learning - AI

SEPTEMBER 12, 2024

BGE Large overview The embedding model BGE Large stands for BAAI general embedding large. It’s developed by BAAI and is designed to enhance retrieval capabilities within large language models (LLMs). The endpoint sends the request to the SageMaker JumpStart model.

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Artificial Inteligence Applications Generative AI AWS 109

TechCrunch

MARCH 30, 2023

Co-founder and CEO Matt Welsh describes it as the first enterprise-focused platform-as-a-service for building experiences with large language models (LLMs). “The core of Fixie is its LLM-powered agents that can be built by anyone and run anywhere.” Fixie agents can interact with databases, APIs (e.g.

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CIO

DECEMBER 14, 2023

Now, manufacturing is facing one of the most exciting, unmatched, and daunting transformations in its history due to artificial intelligence (AI) and generative AI (GenAI). For manufacturers to harness AI and generative AI’s tremendous promise, the first and often overlooked step is to obtain the right kind of storage infrastructure.

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Generative AI Artificial Inteligence Artificial Intelligence Technical Review 359

CableLabs

JUNE 18, 2019

Machine Learning (ML) and Artificial Intelligence (AI) can assist wireless operators to overcome these challenges by analyzing the geographic information, engineering parameters and historic data to: Forecast the peak traffic, resource utilization and application types. ML/AI-as-a-service offering for end users.

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AWS Machine Learning - AI

JUNE 21, 2024

To accomplish this, eSentire built AI Investigator, a natural language query tool for their customers to access security platform data by using AWS generative artificial intelligence (AI) capabilities. Therefore, eSentire decided to build their own LLM using Llama 1 and Llama 2 foundational models.

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Artificial Inteligence Generative AI AWS Serverless 102

CIO

DECEMBER 12, 2023

In most IT landscapes today, diverse storage and technology infrastructures hinder the efficient conversion and use of data and applications across varied standards and locations. A unified approach to storage everywhere For CIOs, solving this challenge is a case of “what got you here, won’t get you there.”

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CIO

APRIL 26, 2024

Once completed within two years, the platform, OneTru, will give TransUnion and its customers access to TransUnion’s behemoth trove of consumer data to fuel next-generation analytical services, machine learning models and generative AI applications, says Achanta, who is driving the effort, and held similar posts at Neustar and Walmart.

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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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CIO

JULY 6, 2023

The first tier, according to Batta, consists of its OCI Supercluster service and is targeted at enterprises, such as Cohere or Hugging Face, that are working on developing large language models to further support their customers. Artificial Intelligence, Enterprise Applications, IT Strategy

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DevOps.com

FEBRUARY 7, 2021

They are frequently turning to complex data for tasks like machine learning and artificial intelligence, which are becoming necessary to understand and reach customer segments across industries. The post Understanding Data Storage: Lakes vs. Warehouses appeared first on DevOps.com.

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Storage Artificial Inteligence Data Artificial Intelligence 135

CIO

JANUARY 17, 2024

And last year, with AI-powered Insights Delivery, it completed a phase of its journey using artificial intelligence to transform the way it works and delivers insights to clients. “To Artificial Intelligence, CIO, Cloud Computing, Cloud Management, Digital Transformation, IT Leadership, Machine Learning, Microsoft Azure

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Artificial Inteligence Artificial Intelligence Analysis Azure 299

CIO

JULY 2, 2024

The first step to successful genAI setup and implementation is to understand what is needed for large language models (LLMs) and large-scale AI inferencing environments—foundations of genAI—to run smoothly and efficiently. What can businesses do so they don’t miss out on the genAI promise?

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TechCrunch

DECEMBER 6, 2023

The New York-based startup, which provides a scale-out, unstructured data storage solution designed to eliminate tiered storage (i.e. setups that move data between high- and low-cost storage hardware), today announced that it secured $118 million in a Series E round led by […] © 2023 TechCrunch. All rights reserved.

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Storage Data Hardware Artificial Inteligence 265

CIO

SEPTEMBER 19, 2023

And with the rise of generative AI, artificial intelligence use cases in the enterprise will only expand. Airbnb is one company using AI to optimize pricing on AWS, utilizing AI to manage capacity, to build custom cost and usage data tools, and to optimize storage and computing capacity.

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Mentormate

MAY 31, 2023

In this article, we will discuss how MentorMate and our partner eLumen leveraged natural language processing (NLP) and machine learning (ML) for data-driven decision-making to tame the curriculum beast in higher education. Here, we will primarily focus on drawing insights from structured and unstructured (text) data.

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Artificial Inteligence Machine Learning Education Analytics 98

CIO

JUNE 3, 2024

For generative AI, a stubborn fact is that it consumes very large quantities of compute cycles, data storage, network bandwidth, electrical power, and air conditioning. In storage, the curve is similar, with growth from 5.7% of AI storage in 2022 to 30.5% Facts, it has been said, are stubborn things.

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AWS Machine Learning - AI

JANUARY 26, 2024

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. We then discuss how building on a secure foundation is essential for generative AI.

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Artificial Inteligence Generative AI Security Applications 126

AWS Machine Learning - AI

AUGUST 15, 2024

The advent of generative artificial intelligence (AI) provides organizations unique opportunities to digitally transform customer experiences. The solution is extensible, uses AWS AI and machine learning (ML) services, and integrates with multiple channels such as voice, web, and text (SMS).

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Artificial Inteligence Generative AI Knowledge Base Lambda 107

CIO

JUNE 18, 2024

As the race to deploy artificial intelligence (AI) hits a fever pitch across enterprises, the savviest organizations are already looking at how to achieve artificial consciousness—a pinnacle of technological and theoretical exploration. The hardware requirements include massive amounts of compute, control, and storage.

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Artificial Inteligence Hardware Artificial Intelligence Storage 299

CIO

NOVEMBER 1, 2023

SAP doesn’t want to build those tools from scratch itself: “We definitely want to leverage what’s already out there,” Sun said, noting there are already many large language models (LLMs) it can build on, adding its own prompting, fine tuning, and data embedding to get those models to business customers quickly.

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AWS Machine Learning - AI

MARCH 28, 2024

Large language models (LLMs) are generally trained on large publicly available datasets that are domain agnostic. For example, Meta’s Llama models are trained on datasets such as CommonCrawl , C4 , Wikipedia, and ArXiv. These datasets encompass a broad range of topics and domains.

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Artificial Inteligence Training Generative AI Machine Learning 101