Data Science Dojo

JANUARY 31, 2024

It integrates retrieval-based and generation-based approaches to provide a robust database for LLMs. It ensures that the information is more accurate and up-to-date by combining factual data with contextually relevant information. It has become one of the most used techniques for LLM.

Database 243

Database Natural Language Processing AI AI 243

Data Science Dojo

MAY 14, 2024

The integration of AI project management tools has reshaped the landscape, allowing for greater efficiency, predictive analytics, and automated task handling. Data-Driven Decision Making With AI’s capability to analyze large sets of data, project managers can now make more informed decisions.

AI 195

AI AI Predictive Analytics Analytics 195

Analytics Vidhya

AUGUST 22, 2023

Introduction In today’s data-driven world, seamless data integration plays a crucial role in driving business decisions and innovation. Two prominent methodologies have emerged to facilitate this process: Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT).

ETL 220

ETL Analytics Analytics Data Engineering 220

Data Science Dojo

APRIL 13, 2023

Application Programming Interface is a set of protocols, routines, and tools used for building software applications. They can be accessed using HTTP requests and typically return data in a structured format such as JSON or XML. They are also commonly used in building mobile or web applications.

Database 195

Database Python 195

Data Science Dojo

APRIL 18, 2024

Enhanced Personalization : AI analyzes customer data, such as purchase history and browsing behaviors, to tailor the shopping experience. This indicates the escalating integration of AI technologies in e-commerce operations. This data serves as the foundation for understanding customer preferences and behavior.

AI 397

AI AI Predictive Analytics Artificial Intelligence 397

Data Science Dojo

JULY 12, 2023

In this blog, we’ll explore the defining traits, benefits, use cases, and key factors to consider when choosing between SQL and NoSQL databases. SQL or NoSQL SQL Database SQL databases are relational databases that store data in tables. Each table has a set of columns, and each column has a specific data type.

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SQL Database Big Data Big Data 195

Analytics Vidhya

DECEMBER 3, 2021

This article was published as a part of the Data Science Blogathon. Introduction In this article, I will explain to you how will we use Django Framework for creating some really exciting data science projects in Windows Machine.

Data Science 290

Data Science Machine Learning Machine Learning Analytics 290

Precisely

MAY 16, 2024

Key takeaways: The success of your AI initiatives hinges on the integrity of your data. Ensure your data is accurate, consistent, and contextualized to enable trustworthy AI systems that avoid biases, improve accuracy and reliability, and boost contextual relevance and nuance. Why Does Data Integrity Matter for AI Success?

AI 59

AI AI AWS Data Quality 59

Dataconomy

MARCH 27, 2024

AI has transformed many industries, from automating repetitive work to enabling data-driven decisions. To integrate AI successfully into a business environment, it’s important to have a strategic vision, a thorough understanding of its potential challenges, and an in-depth knowledge of its benefits. It also drives innovation.

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AI AI Algorithm Machine Learning 193

IBM Data Science in Practice

JANUARY 9, 2024

By Carolyn Saplicki , IBM Data Scientist Industries are constantly seeking innovative solutions to maximize efficiency, minimize downtime, and reduce costs. Enter IBM Maximo® Application Suite (MAS), a powerful set of applications used for asset monitoring, management, predictive maintenance, and reliability planning.

ML 130

ML ML AI AI 130

Becoming Human

MARCH 12, 2024

This transformative shift challenges traditional legal research and case analysis methods, which involved extensive manual sifting through legal precedents. The integration of AI for legal research raises questions about the future direction of the legal profession and prompts a reevaluation of its core practices.

AI 105

AI AI Artificial Intelligence Artificial Intelligence 105

AWS Machine Learning Blog

MAY 9, 2024

Organizations across industries face numerous challenges implementing generative AI across their organization, such as lack of clear business case, scaling beyond proof of concept, lack of governance, and availability of the right talent. What is an AI/ML CoE?

ML 106

ML ML AI AI 106

Snorkel AI

APRIL 24, 2024

Snorkel AI is excited to announce several new features released in Snorkel Flow, the latest version of our programmatic AI data development platform. New model deployment integrations with Databricks Unity Catalog, Google Cloud Vertex AI, and Microsoft Azure Machine Learning to accelerate shipping fine-tuned models to production.

Azure 64

Azure Machine Learning Machine Learning AI 64

Precisely

MAY 13, 2024

Key Takeaways: Data integration is vital for real-time data delivery across diverse cloud models and applications, and for leveraging technologies like generative AI. The right data integration solution helps you streamline operations, enhance data quality, reduce costs, and make better data-driven decisions.

Data Governance 52

Data Governance Data Pipeline Data Quality Cloud Data 52

IBM Journey to AI blog

MARCH 4, 2024

Figure 1: Transforming into an AI+ enterprise is at the core of what our team at IBM does An AI+ enterprise integrates AI as a first-class function across the business. Start with the use cases The most important step for an AI+ enterprise is identifying transformative use cases. times higher ROI.

AI 106

AI AI Artificial Intelligence Artificial Intelligence 106

Dataconomy

SEPTEMBER 4, 2023

The modern corporate world is more data-driven, and companies are always looking for new methods to make use of the vast data at their disposal. Cloud analytics is the art and science of mining insights from data stored in cloud-based platforms. Cloud analytics is one example of a new technology that has changed the game.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

AWS Machine Learning Blog

FEBRUARY 27, 2024

In this post, we share how Axfood, a large Swedish food retailer, improved operations and scalability of their existing artificial intelligence (AI) and machine learning (ML) operations by prototyping in close collaboration with AWS experts and using Amazon SageMaker. Apply the trained model to make predictions of future events.

Machine Learning 112

Machine Learning Machine Learning ML ML 112

Dataconomy

APRIL 24, 2024

In 2024, sales managers have many innovative solutions they can use. When using HubSpot, you can track your customers’ journey until they have closed the deal and beyond. Set up Chrome extension to use features like email finder, candidate enrichment, and social media sourcing.

Analytics 103

Analytics Analytics Predictive Analytics AI 103

IBM Journey to AI blog

MAY 10, 2024

Underpinning most artificial intelligence (AI) deep learning is a subset of machine learning that uses multi-layered neural networks to simulate the complex decision-making power of the human brain. In deep learning use cases, FPGAs are valued for their versatility, power efficiency and adaptability.

Deep Learning 111

Deep Learning Deep Learning Artificial Intelligence Artificial Intelligence 111

AWS Machine Learning Blog

DECEMBER 19, 2023

Artificial intelligence (AI) and machine learning (ML) are becoming an integral part of systems and processes, enabling decisions in real time, thereby driving top and bottom-line improvements across organizations. Only a small fraction of a real-world ML use case comprises the model itself.

Machine Learning 104

Machine Learning Machine Learning AWS Analytics 104

Dataconomy

JANUARY 2, 2024

At the forefront of this strategy is the concept of a legal hold—a powerful directive ensuring the preservation of pertinent documents, data, and evidence. But why do we need it and why is it so important for data integrity and security? Let us explain.

Big Data 103

Big Data Big Data 103

Dataconomy

FEBRUARY 6, 2024

With the ability to analyze a vast amount of data in real-time, identify patterns, and detect anomalies, AI/ML-powered tools are enhancing the operational efficiency of businesses in the IT sector. This popularity is primarily due to the spread of big data and advancements in algorithms.

ML 121

ML ML AI AI 121

Precisely

NOVEMBER 20, 2023

The answers lie in data integrity and the contextual richness of the data that fuels your AI. Businesses must navigate many legal and regulatory requirements, including data privacy laws, industry standards, security protocols, and data sovereignty requirements. Contextual data. What does that mean for AI?

AI 121

AI AI Clean Data Predictive Analytics 121

Towards AI

APRIL 3, 2024

A Step-by-Step Guide to Understand and Implement an LLM-based Sensitive Data Detection WorkflowSensitive Data Detection and Masking Workflow — Image by Author Introduction What and who defines the sensitivity of data ?What What is data anonymization and pseudonymisation?What Setting up the model server using Docker 2.

Data Profiling 96

Data Profiling AI AI Data Science 96

Dataconomy

JANUARY 16, 2024

Acquiring a ChatGPT API key is a fundamental step for developers aiming to integrate the advanced AI capabilities of ChatGPT into their applications. Acquiring a ChatGPT API key is a fundamental step for developers aiming to integrate the advanced AI capabilities (Image: Kerem Gülen/Midjourney ) How to activate a ChatGPT API key?

Natural Language Processing 113

Natural Language Processing Python AI AI 113

Snorkel AI

APRIL 24, 2024

Snorkel AI is excited to announce several new features released in Snorkel Flow, the latest version of our programmatic AI data development platform. This new addition gives admins more control over who has access to what data and who can upload data for AI development. This feature unlocks faster, smarter document processing.

Azure 52

Azure Machine Learning Machine Learning AI 52

IBM Journey to AI blog

MAY 17, 2024

Poorly run implementations of traditional or generative AI in commerce—such as models trained on inadequate or inappropriate data—lead to bad experiences that alienate consumers and businesses. Successful integration of AI in commerce depends on earning and keeping consumer trust.

AI 58

AI AI Algorithm Natural Language Processing 58

ODSC - Open Data Science

AUGUST 28, 2023

This paradigm shift extends beyond industry giants, captivating startups and small tech companies, leading to Generative AI integration into their software and reshaping customer experiences and operational models. Step 3: Work Backwards People remain pivotal in even the most advanced AI systems, as quality data is integral to success.

AI 97

AI AI Data Science Database 97

DataRobot Blog

MARCH 16, 2023

Today we are unveiling a new cutting-edge integration with Microsoft Azure OpenAI Service. This integration, which leverages the ChatGPT model in Azure OpenAI, provides a conversational AI experience that will allow you to interact with and interpret model results and predictions directly.

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Azure Data Science Data Scientist ML 98

AWS Machine Learning Blog

APRIL 8, 2024

When building LLM applications, it is often necessary to connect and query external data sources to provide relevant context to the model. One popular approach is using Retrieval Augmented Generation (RAG) to create Q&A systems that comprehend complex information and provide natural responses to queries.

AWS 99

AWS Machine Learning Machine Learning Natural Language Processing 99

Smart Data Collective

OCTOBER 17, 2022

IT professionals must work hard to stay ahead of the curve, especially if they plan to integrate IoT in various facets of their operations. It allows us to get real-time information and stay in touch with friends and family. Unfortunately, cybercriminals take advantage of these and use IoT devices to execute crimes.

Internet of Things 120

Internet of Things 120

Snorkel AI

JANUARY 9, 2024

Snorkel AI is thrilled to announce our partnership with Databricks and seamless end-to-end integration across the Databricks Data Intelligence Platform. The synergy between Snorkel and Databricks enables data scientists to navigate their entire machine learning pipeline—from data access to model deployment—all within Snorkel Flow.

Machine Learning 52

Machine Learning Machine Learning Clustering Data Scientist 52

Precisely

APRIL 8, 2024

Ostensibly this data enables you to ship items or send mail to customers and prospects, to correspond with suppliers, and to communicate with a network of distributors or other partners. That data has the potential to open doors to vast amounts of useful information and insights. trillion on digital transformation in 2023.

Analytics 64

Analytics Analytics Database AI 64

AssemblyAI

MAY 14, 2024

Speech AI technology (including Speech-to-Text, Audio Intelligence, and LLM capabilities ) has quickly become an integral part of thousands of organizations and developer workflows. New Speech AI Use Cases 1. integrates with popular conferring tools to automate capturing and analyzing meeting conversations.

AI 59

AI AI Natural Language Processing Data Analysis 59

Flipboard

MARCH 30, 2023

They can ingest huge amounts of data, learn from those datasets to improve the algorithm, and perform a variety of natural language processing tasks. ” It wants to help developers integrate any LLM into their own applications. LLMs are gaining traction and attention with the proliferation of technologies such as ChatGPT.

Natural Language Processing 161

Natural Language Processing Machine Learning Machine Learning Artificial Intelligence 161

AWS Machine Learning Blog

AUGUST 4, 2023

We’re excited to announce Amazon SageMaker and Salesforce Data Cloud integration. With this capability, businesses can access their Salesforce data securely with a zero-copy approach using SageMaker and use SageMaker tools to build, train, and deploy AI models.

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