CIO

OCTOBER 23, 2024

Artificial intelligence is an early stage technology and the hype around it is palpable, but IT leaders need to take many challenges into consideration before making major commitments for their enterprises. Most enterprises aren’t curious enough about how AI makes their employees feel. But what if you don’t have to?”

Enterprise 203

Enterprise Minimum Viable Product Generative AI Artificial Inteligence 203

CIO

NOVEMBER 27, 2024

From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. Today, enterprises are leveraging various types of AI to achieve their goals. The team should be structured similarly to traditional IT or data engineering teams.

Architecture 193

Architecture Artificial Inteligence Data Development Team Review 193

CIO

DECEMBER 20, 2024

While NIST released NIST-AI- 600-1, Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile on July 26, 2024, most organizations are just beginning to digest and implement its guidance, with the formation of internal AI Councils as a first step in AI governance.So

Artificial Inteligence 158

Artificial Inteligence Security Data Artificial Intelligence 158

CIO

DECEMBER 9, 2024

This is particularly true with enterprise deployments as the capabilities of existing models, coupled with the complexities of many business workflows, led to slower progress than many expected. Foundation models (FMs) by design are trained on a wide range of data scraped and sourced from multiple public sources.

Enterprise 174

Enterprise Artificial Inteligence Off-The-Shelf Knowledge Base 174

CIO

NOVEMBER 27, 2024

But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects. Google suggests pizza recipes with glue because that’s how food photographers make images of melted mozzarella look enticing, and that should probably be sanitized out of a generic LLM.

Data 211

Data Enterprise Weak Development Team Software Review 211

CIO

NOVEMBER 14, 2024

Such a large-scale reliance on third-party AI solutions creates risk for modern enterprises. It’s hard for any one person or a small team to thoroughly evaluate every tool or model. The alternative is to take advantage of more end-to-end, purpose-built ML solutions from trusted enterprise AI brands.

Artificial Inteligence 88

Artificial Inteligence Machine Learning Open Source Engineering 88

CIO

NOVEMBER 19, 2024

All industries and modern applications are undergoing rapid transformation powered by advances in accelerated computing, deep learning, and artificial intelligence. The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data.

Artificial Inteligence 174

Artificial Inteligence Engineering Data Storage 174

CIO

APRIL 23, 2025

In the race to build the smartest LLM, the rallying cry has been more data! After all, if more data leads to better LLMs , shouldnt the same be true for AI business solutions? The urgency of now The rise of artificial intelligence has forced businesses to think much more about how they store, maintain, and use large quantities of data.

Artificial Inteligence 148

Artificial Inteligence Data Compliance Government 148

AWS Machine Learning - AI

APRIL 10, 2025

Training a frontier model is highly compute-intensive, requiring a distributed system of hundreds, or thousands, of accelerated instances running for several weeks or months to complete a single job. For example, pre-training the Llama 3 70B model with 15 trillion training tokens took 6.5 million H100 GPU hours.

Training 107

Training Artificial Inteligence Hardware Systems Review 107

Crunchbase News

NOVEMBER 13, 2024

Bob Ma of Copec Wind Ventures AI’s eye-popping potential has given rise to numerous enterprise generative AI startups focused on applying large language model technology to the enterprise context. With the enormous opportunity, enterprise generative AI startups have multiplied quickly over the past two years.

Artificial Inteligence 134

Artificial Inteligence UI/UX Off-The-Shelf Generative AI 134

CIO

APRIL 16, 2025

In todays rapidly evolving business landscape, the role of the enterprise architect has become more crucial than ever, beyond the usual bridge between business and IT. In a world where business, strategy and technology must be tightly interconnected, the enterprise architect must take on multiple personas to address a wide range of concerns.

Technical Review 172

Technical Review Enterprise Strategy Innovation 172

CIO

APRIL 23, 2025

Delta Lake: Fueling insurance AI Centralizing data and creating a Delta Lakehouse architecture significantly enhances AI model training and performance, yielding more accurate insights and predictive capabilities. A critical consideration emerges regarding enterprise AI platform implementation.

Insurance 164

Insurance Artificial Inteligence Data Architecture 164

CIO

OCTOBER 24, 2024

That means organizations are lacking a viable, accessible knowledge base that can be leveraged, says Alan Taylor, director of product management for Ivanti – and who managed enterprise help desks in the late 90s and early 2000s. “We Educate and train help desk analysts. Equip the team with the necessary training to work with AI tools.

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Artificial Inteligence Knowledge Base Artificial Intelligence Machine Learning 165

Cloudera

JANUARY 9, 2025

As the AI landscape evolves from experiments into strategic, enterprise-wide initiatives, its clear that our naming should reflect that shift. Thats why were moving from Cloudera Machine Learning to Cloudera AI. Its a signal that were fully embracing the future of enterprise intelligence.

Artificial Inteligence 85

Artificial Inteligence Machine Learning Enterprise Artificial Intelligence 85

Cloudera

NOVEMBER 13, 2024

Large Language Models (LLMs) will be at the core of many groundbreaking AI solutions for enterprise organizations. Here are just a few examples of the benefits of using LLMs in the enterprise for both internal and external use cases: Optimize Costs.

Artificial Inteligence 87

Artificial Inteligence Training Machine Learning Performance 87

TechCrunch

NOVEMBER 29, 2023

At its re:Invent conference today, Amazon’s AWS cloud arm announced the launch of SageMaker HyperPod, a new purpose-built service for training and fine-tuning large language models (LLMs). SageMaker HyperPod is now generally available. All rights reserved.

Artificial Inteligence 261

Artificial Inteligence Training Machine Learning AWS 261

CIO

NOVEMBER 5, 2024

The move relaxes Meta’s acceptable use policy restricting what others can do with the large language models it develops, and brings Llama ever so slightly closer to the generally accepted definition of open-source AI. Meta will allow US government agencies and contractors in national security roles to use its Llama AI.

Government 190

Government Open Source Artificial Inteligence Training 190

CIO

DECEMBER 5, 2024

A particular concern is that many enterprises may be rushing to implement AI without properly considering who owns the data, where it resides, and who can access it through AI models,” he says. One company he has worked with launched a project to have a large language model (LLM) AI to assist with internal IT service requests.

Metrics 187

Metrics Artificial Inteligence Fractional CTO Strategic Planning 187

CIO

DECEMBER 11, 2024

The main commercial model, from OpenAI, was quicker and easier to deploy and more accurate right out of the box, but the open source alternatives offered security, flexibility, lower costs, and, with additional training, even better accuracy. Another consideration is the size of the LLM, which could impact inference time.

Open Source 172

Open Source Artificial Inteligence Technical Review Software Review 172

AWS Machine Learning - AI

DECEMBER 4, 2024

About the NVIDIA Nemotron model family At the forefront of the NVIDIA Nemotron model family is Nemotron-4, as stated by NVIDIA, it is a powerful multilingual large language model (LLM) trained on an impressive 8 trillion text tokens, specifically optimized for English, multilingual, and coding tasks.

Artificial Inteligence 100

Artificial Inteligence Microservices Generative AI AWS 100

TechCrunch

NOVEMBER 18, 2021

But with time, enterprises overcame their skepticism and moved critical applications to the cloud. Today, enterprises are in a similar phase of trying out and accepting machine learning (ML) in their production environments, and one of the accelerating factors behind this change is MLOps.

Enterprise 344

Enterprise Artificial Inteligence Data Engineering Data Center 344

CIO

NOVEMBER 4, 2024

But what goes up must come down, and, according to Gartner, genAI has recently fallen into the “trough of disillusionment ,” meaning that enterprises are not seeing the value and ROI they expected. Enterprises are, in fact, already seeing significant value when properly applying AI. Of course, good use cases are just the beginning.

Enterprise 174

Enterprise ChatGPT Generative AI Infrastructure 174

CIO

MARCH 18, 2025

The company has post-trained its new Llama Nemotron family of reasoning models to improve multistep math, coding, reasoning, and complex decision-making. The enhancements aim to provide developers and enterprises with a business-ready foundation for creating AI agents that can work independently or as part of connected teams.

Artificial Inteligence 139

Artificial Inteligence Microservices Data Center Azure 139

CIO

OCTOBER 24, 2024

We have companies trying to build out the data centers that will run gen AI and trying to train AI,” he says. While AI projects will continue beyond 2025, many organizations’ software spending will be driven more by other enterprise needs like CRM and cloud computing, Lovelock says. Next year, that spending is not going away.

Data Center 200

Data Center Artificial Inteligence Generative AI Artificial Intelligence 200

TechCrunch

JANUARY 2, 2022

Most artificial intelligence models are trained through supervised learning, meaning that humans must label raw data. Data labeling is a critical part of automating artificial intelligence and machine learning model, but at the same time, it can be time-consuming and tedious work.

Artificial Inteligence 350

Artificial Inteligence Technology Artificial Intelligence Data 350

AWS Machine Learning - AI

NOVEMBER 6, 2024

The rise of large language models (LLMs) and foundation models (FMs) has revolutionized the field of natural language processing (NLP) and artificial intelligence (AI). For this post, we run the code in a Jupyter notebook within VS Code and use Python.

Software Review 114

Software Review Artificial Inteligence Generative AI AWS 114

CIO

NOVEMBER 7, 2024

For example, because they generally use pre-trained large language models (LLMs), most organizations aren’t spending exorbitant amounts on infrastructure and the cost of training the models. Vendors are providing built-in RAG solutions so enterprises won’t have to build them themselves.

Off-The-Shelf 199

Off-The-Shelf Generative AI Artificial Inteligence Training 199

O'Reilly Media - Ideas

NOVEMBER 19, 2024

Reasons for using RAG are clear: large language models (LLMs), which are effectively syntax engines, tend to “hallucinate” by inventing answers from pieces of their training data. Also, in place of expensive retraining or fine-tuning for an LLM, this approach allows for quick data updates at low cost.

Artificial Inteligence 128

Artificial Inteligence Construction Open Source Training 128

CIO

NOVEMBER 11, 2024

Nate Melby, CIO of Dairyland Power Cooperative, says the Midwestern utility has been churning out large language models (LLMs) that not only automate document summarization but also help manage power grids during storms, for example. Only 13% plan to build a model from scratch.

Generative AI 206

Generative AI Artificial Inteligence Government Azure 206

CIO

NOVEMBER 13, 2024

One is going through the big areas where we have operational services and look at every process to be optimized using artificial intelligence and large language models. And the second is deploying what we call LLM Suite to almost every employee. You need people who are trained to see that.

Weak Development Team 212

Weak Development Team Artificial Inteligence Technical Review Generative AI 212

Palo Alto Networks

OCTOBER 30, 2024

As policymakers across the globe approach regulating artificial intelligence (AI), there is an emerging and welcomed discussion around the importance of securing AI systems themselves. These models are increasingly being integrated into applications and networks across every sector of the economy.

Security 105

Security Artificial Inteligence Infrastructure Government 105

AWS Machine Learning - AI

NOVEMBER 7, 2024

To move faster, enterprises need robust operating models and a holistic approach that simplifies the generative AI lifecycle. You can also bring your own customized models and deploy them to Amazon Bedrock for supported architectures. It’s serverless so you don’t have to manage the infrastructure.

Generative AI 110

Generative AI AWS Enterprise Artificial Inteligence 110

Palo Alto Networks

APRIL 9, 2025

Generative AI (GenAI) and large language models (LLMs) are becoming ubiquitous in businesses across sectors, increasing productivity, driving competitiveness and positively impacting companies bottom lines. The report reveals that leading LLMs remain highly vulnerable to prompt attacks.

Security 120

Security Artificial Inteligence Strategy Network 120

TechCrunch

MARCH 30, 2023

Called Fixie , the firm, founded by former engineering heads at Apple and Google, aims to connect text-generating models similar to OpenAI’s ChatGPT to an enterprise’s data, systems and workflows. “The core of Fixie is its LLM-powered agents that can be built by anyone and run anywhere.”

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Artificial Inteligence Company ChatGPT Generative AI 255

AWS Machine Learning - AI

NOVEMBER 1, 2024

Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI , allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. This process involves updating the model’s weights to improve its performance on targeted applications.

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Artificial Inteligence Generative AI Training Metrics 94

Tenable

NOVEMBER 29, 2024

We're seeing the large models and machine learning being applied at scale," Josh Schmidt, partner in charge of the cybersecurity assessment services team at BPM, a professional services firm, told TechTarget. Have you ever shared sensitive work information without your employer’s knowledge? Source: “Oh, Behave!

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Artificial Inteligence Research Generative AI Technical Review 75

Crunchbase News

DECEMBER 5, 2024

While some things tend to slow as the year winds down, artificial intelligence fundraising apparently isn’t one of them. xAI , $5B, artificial intelligence: Generative AI startup xAI raised $5 billion in a round valuing it at $50 billion, The Wall Street Journal reported. Let’s take a look. billion, with the remaining $2.75

Artificial Inteligence 126

Artificial Inteligence Artificial Intelligence Generative AI Biotech 126