Analytics Vidhya

AUGUST 19, 2023

Introduction The advent of large language models is one of our time’s most exciting technological developments. It has opened up endless possibilities in artificial intelligence, offering solutions to real-world problems across various industries.

Modeling 271

Modeling Technology Analytics IT 271

Analytics Vidhya

MARCH 17, 2022

To Data Science Enthusiasts, We are happy to bring you another webinar into ‘The DataHour’ series. The webinar is based on building and operationalizing your ML Model using Tableau Business Science. The post Webinar: Build & Operationalize ML Model Using Tableau Business Science appeared first on Analytics Vidhya.

Modeling 339

Modeling Data Science Analytics Machine Learning 339

Analytics Vidhya

NOVEMBER 23, 2022

This article was published as a part of the Data Science Blogathon. Introduction Web apps are the apps through which you can showcase your solution or approach to the public at a mass level. Creating the model is not enough until it’s in use by people. When it comes to delivering the solution then, everyone […].

Data Science 329

Data Science Publishing Modeling Analytics 329

Analytics Vidhya

JANUARY 28, 2022

This article was published as a part of the Data Science Blogathon. Introduction A Machine Learning solution to an unambiguously defined business problem is developed by a Data Scientist ot ML Engineer. The post Deploying ML Models Using Kubernetes appeared first on Analytics Vidhya.

Modeling 334

Modeling Machine Learning Metrics Testing 334

CIO Business Intelligence

APRIL 10, 2024

Inferencing has emerged as among the most exciting aspects of generative AI large language models (LLMs). Crunching mathematical calculations, the model then makes predictions based on what it has learned during training. Crunching mathematical calculations, the model then makes predictions based on what it has learned during training.

Cost-Benefit 135

Cost-Benefit Modeling Strategy Interactive 135

Analytics Vidhya

JULY 27, 2023

Introduction Language barriers can hinder global communication, but AI and natural language processing offer solutions. Language Models (LLMs) trained on vast text data have deep language understanding, enabling seamless translation between people of different languages.

Modeling 269

Modeling Analytics 269

O'Reilly on Data

MARCH 26, 2024

TL;DR LLMs and other GenAI models can reproduce significant chunks of training data. Specific prompts seem to “unlock” training data. Generative AI Has a Plagiarism Problem ChatGPT, for example, doesn’t memorize its training data, per se. This is the basis of The New York Times lawsuit against OpenAI.

Modeling 273

Modeling Machine Learning Risk Advertising 273

AWS Big Data

APRIL 17, 2024

Analytics as a service (AaaS) is a business model that uses the cloud to deliver analytic capabilities on a subscription basis. This model provides organizations with a cost-effective, scalable, and flexible solution for building analytics. times better price-performance than other cloud data warehouses.

Data Warehouse 91

Data Warehouse Analytics Cost-Benefit Modeling 91

CIO Business Intelligence

APRIL 22, 2024

Early in this process, I concluded that the previous go-to-market model was too complex and costly for VMware and its customers,” Tan wrote. “It Meanwhile, moving to a subscription pricing model makes sense for both VMware and its customers, Tan wrote. But Somerset Capital runs its developer environment in house using VMware.

Marketing 104

Marketing Uncertainty Strategy Digital Transformation 104

CIO Business Intelligence

APRIL 16, 2024

While warp speed is a fictional concept, it’s an apt way to describe what generative AI (GenAI) and large language models (LLMs) are doing to exponentially accelerate Industry 4.0. Manufacturers have been using gateways to work around these legacy silos with IoT platforms to collect and consolidate all operational data.

Manufacturing 140

Manufacturing Digital Transformation Risk Dashboards 140

IBM Big Data Hub

MARCH 27, 2024

As AI technology advances, the need for high-performance, cost-effective and easily deployable solutions reached unprecedented levels. EclipseStore, a groundbreaking data storage platform from MicroStream , is revolutionizing the development of cutting-edge software applications. Low infrastructure costs.

Cost-Benefit 103

Cost-Benefit Data Processing Optimization Modeling 103

KDnuggets

FEBRUARY 14, 2024

Integrating a semantic layer with Language Learning Models (LLMs) presents a clean solution to this, particularly in the realm of AI chatbots. This combination empowers businesses to generate fast responses and reports based on their data.

Business Intelligence 124

Business Intelligence Analytics Interactive Reporting 124

CIO Business Intelligence

APRIL 24, 2024

Early in this process, I concluded that the previous go-to-market model was too complex and costly for VMware and its customers. That’s why we announced a simplified portfolio based on two core solutions – VCF and VMware vSphere Foundation, or VVF. We are at a pivotal point in which infrastructure needs to scale and be resilient.

Marketing 102

Marketing Cost-Benefit Metrics Strategy 102

IBM Big Data Hub

APRIL 22, 2024

That means making more sustainable choices about how models are built, trained, and used, where processing occurs, what infrastructure is used, and how open and collaborative we are along the way.” As data use and processing activities increase, so too will global emissions. In our 2023 Impact Report , we reported that 70.6%

Cost-Benefit 92

Cost-Benefit Modeling Manufacturing Reporting 92

CIO Business Intelligence

NOVEMBER 21, 2023

After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party Risk Management Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years.

IT 137

IT Risk Cost-Benefit Risk Management 137

CIO Business Intelligence

JANUARY 9, 2024

That quote aptly describes what Dell Technologies and Intel are doing to help our enterprise customers quickly, effectively, and securely deploy generative AI and large language models (LLMs).Many Lesson 1: Don’t start from scratch to train your LLM model Massive amounts of data and computational resources are needed to train an LLM.

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Enterprise Experimentation Modeling Data-driven 117

CIO Business Intelligence

FEBRUARY 16, 2024

Today, it is not enough just to innovate within one’s own vertical; to truly exploit the power of GenAI to transform workflows and drive competitive advantage, CIOs need to look outside their own organizations to get the scale, domain expertise, and speed required to develop fully integrated solutions. This is a challenge for many CIOs.

Strategy 138

Strategy Insurance Digital Transformation Enterprise 138

CIO Business Intelligence

APRIL 4, 2024

Some prospective projects require custom development using large language models (LLMs), but others simply require flipping a switch to turn on new AI capabilities in enterprise software. “AI A human reviews it to make sure it makes sense, and if it does, the AI incorporates that into the learning model,” she says.

Enterprise 134

Enterprise Cost-Benefit Forecasting Strategy 134

CIO Business Intelligence

APRIL 1, 2024

You can innovate and protect your corporate data by running a private GenAI instance that affords you greater control over total cost of ownership, performance, security, and other critical factors. Cleanse your data. GenAI requires high-quality data. Right-size your model(s). But how do you get there?

Data Lake 142

Data Lake Consulting Uncertainty Risk 142

CIO Business Intelligence

JANUARY 22, 2024

Since the introduction of ChatGPT, the healthcare industry has been fascinated by the potential of AI models to generate new content. While the average person might be awed by how AI can create new images or re-imagine voices, healthcare is focused on how large language models can be used in their organizations.

Unstructured Data 98

Unstructured Data Digital Transformation Data Strategy Modeling 98

CIO Business Intelligence

DECEMBER 21, 2023

We have seen a lot of companies promising AI solutions for Cybersecurity in the Cloud, but let’s be clear: when it comes to AI in Cybersecurity, it is important to understand that not all AIs are created equal. Finally, in cybersecurity, AI must analyze and act on data in real-time, matching the pace of user activity.

Data-driven 104

Data-driven Risk Enterprise Cost-Benefit 104

Cloudera

APRIL 18, 2024

With the arrival of the latest AI-powered technologies like large language models (LLMs) and generative AI (GenAI), there’s a vast amount of opportunities for innovation, growth, and improved business outcomes right around the corner. All of that technology, though, depends on data to be successful.

Analytics 92

Analytics Metadata Data Strategy Optimization 92

KDnuggets

JANUARY 24, 2023

Effective solutions exist when you don't have enough data for your models. While there is no perfect approach, five proven ways will get your model to production.

Machine Learning 159

Machine Learning Modeling 159

CIO Business Intelligence

APRIL 19, 2024

As organizations transition to hybrid work models and embrace cloud-based operations, the very fabric of how we work has transformed – opening doors to more security risks. In fact, according to Verizon’s Data Breach Investigation Report , over 80% of security incidents originated from web applications in 2023. Why does this matter?

Enterprise 99

Enterprise Advertising Risk Data Processing 99

CIO Business Intelligence

SEPTEMBER 19, 2023

Interoperability embodies the ability of solution components to exchange and use data. Not only must the ability to integrate (pass data back and forth) exist, but data must be usable by the various components — and not onerously so! Interoperability risk occurs as each new component is added to the solution portfolio.

Risk 109

Risk Modeling Reporting Data Governance 109

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data architects are frequently part of a data science team and tasked with leading data system projects.

Data Architecture 131

Data Architecture Data Warehouse Statistics Visualization 131

IBM Big Data Hub

MARCH 29, 2024

Imagine a future where artificial intelligence (AI) seamlessly collaborates with existing supply chain solutions, redefining how organizations manage their assets. Challenge 1: Orchestrate relevant data The journey to generative AI begins with data management. Undoubtedly. But what if you could optimize even further?

Management 92

Management Structured Data Modeling Data Governance 92

Paul Turley

MARCH 29, 2024

Over 4,000 attendees saw a lot of demos showing how to effortlessly build a modern data platform with petabytes of data in One Lake, and then ask CoPilot to generate beautiful Power BI reports from semantic models that magically appear from data in a Fabric Lakehouse.

Reporting 74

Reporting Modeling Enterprise Analytics 74

IBM Big Data Hub

SEPTEMBER 6, 2023

But generative AI solutions can provide new capabilities for customer-facing teams in marketing to provide even greater personalization at scale and improve employee skills and performance. The journey starts with sound data. If the training data is biased or incomplete, the models may generate inaccurate content.

Marketing 122

Marketing Strategy B2B Cost-Benefit 122

Cloudera

MARCH 26, 2024

How do you adapt a foundational model to your specific needs? 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. What about security, privacy, and trust concerns?

Cost-Benefit 79

Cost-Benefit Machine Learning Enterprise Modeling 79