Dataconomy

DECEMBER 25, 2024

The amount of information available today reflects how diseases are identified, how treatment plans are tailored, and how hospitals manage their resources so that care teams work effectively. The global predictive analytics market in healthcare, valued at $11.7 What is predictive healthcare analytics?

Analytics

KDnuggets

JUNE 11, 2025

Instead of generating answers from parameters, the RAG can collect relevant information from the document. A retriever is used to collect relevant information from the document. On top of that, this agent should use the content by including relevant hotel information in this proposal for business events or campaigns.

Data Scientist

Towards AI

OCTOBER 31, 2024

Data analytics has become a key driver of commercial success in recent years. According to Gartner’s Hype Cycle, GenAI is at the peak, showcasing its potential to transform analytics.¹ Image by author This approach not only increases data diversity but also addresses privacy concerns related to sharing sensitive patient information.

Data Quality

KDnuggets

JUNE 17, 2025

By Jayita Gulati on June 17, 2025 in Language Models Image by Author | Ideogram Information is everywhere today, but attention is scarce, and so mastering how we learn has become more important than ever. These are based solely on your uploaded sources, making them a reliable path to synthesize and organize information.

Natural Language Processing

Flipboard

NOVEMBER 27, 2024

Zero-ETL integration with Amazon Redshift reduces the need for custom pipelines, preserves resources for your transactional systems, and gives you access to powerful analytics. In this post, we explore how to use Aurora MySQL-Compatible Edition Zero-ETL integration with Amazon Redshift and dbt Cloud to enable near real-time analytics.

ETL

KDnuggets

JUNE 24, 2025

So when youre pulling information from APIs, analyzing real-world datasets, and the like, youll inevitably run into duplicates, missing values, and invalid entries. By Bala Priya C , KDnuggets Contributing Editor & Technical Content Specialist on June 24, 2025 in Python Image by Author | Ideogram Data is messy.

Python

KDnuggets

JULY 11, 2025

Dynamic systems adapt prompts based on user context, previous interactions, and specific requirements through template systems that insert relevant information, conditional logic that adjusts prompting strategies, and feedback loops that improve prompts based on user satisfaction.

AI

Dataconomy

MARCH 17, 2025

Augmented analytics is revolutionizing how organizations interact with their data. By harnessing the power of machine learning (ML) and natural language processing (NLP), businesses can streamline their data analysis processes and make more informed decisions. What is augmented analytics?

Augmented Analytics

Dataconomy

JULY 8, 2025

Predictive analytics uses data, statistical algorithms, and machine learning to forecast future trends. Understanding predictive analytics Predictive analytics uses data analysis to forecast future outcomes. In finance, firms predict market movements to make informed investment decisions. Keep reading to find out more.

Predictive Analytics

Dataconomy

JUNE 12, 2025

Edge analytics is at the forefront of a significant shift in how organizations manage and analyze data, especially in the context of the growing Internet of Things (IoT). What is edge analytics? What is edge analytics? Edge analytics facilitates this by enabling a more strategic data flow and focusing on actionable information.

Analytics

KDnuggets

JULY 7, 2025

These agents and MCP servers provide additional capabilities for LLMs to extract more information and help automate your workflow. So, what is next for AI, and how can we make it better? One promising direction involves agents and MCP servers. People are making millions by doing this.

Natural Language Processing

Dataconomy

JUNE 16, 2025

Self-service analytics empowers users to independently analyze data, fostering a culture of data-driven decision-making within organizations. Self-service analytics tools enable individuals to create customized reports and visualizations, streamlining processes and enhancing communication across teams. What is self-service analytics?

Analytics

Dataconomy

NOVEMBER 14, 2024

To do so, employers need to tap into the advantages of using data analytics to revolutionize workplace engagement. In this article, we will explore how data analytics revolutionizes employee engagement and how it will help businesses unlock the full potential of their teams. What is employee engagement and why is it important?

Analytics

Analytics Vidhya

JULY 8, 2025

It might be difficult to look for the right solution for you, based on the vast amount of information out there. Hence, we present this list of all ten GitHub llm repositories every AI engineer ought […] The post 10 GitHub LLM Repositories Every AI Engineer Should Know appeared first on Analytics Vidhya.

AI

KDnuggets

JULY 17, 2025

Our Top 5 Free Course Recommendations --> Get the FREE ebook The Great Big Natural Language Processing Primer and The Complete Collection of Data Science Cheat Sheets along with the leading newsletter on Data Science, Machine Learning, AI & Analytics straight to your inbox. simple_pipeline_container | Data Transformation completed.

Data Pipeline

Analytics Vidhya

DECEMBER 22, 2024

Web scraping has long been a vital technique for extracting information from the internet, enabling developers to gather insights from various domains. This article explores how to implement scraping with LLMs to fetch structured […] The post Web Scraping with LLMs appeared first on Analytics Vidhya.

Analytics

Analytics Vidhya

NOVEMBER 18, 2024

In an era where artificial intelligence (AI) is tasked with navigating and synthesizing vast amounts of information, the efficiency and accuracy of retrieval methods are paramount. Anthropic, a leading AI research company, has introduced a groundbreaking approach called Contextual Retrieval-Augmented Generation (RAG).

Artificial Intelligence

AWS Machine Learning Blog

JANUARY 15, 2025

Understanding customer satisfaction and areas needing improvement from raw data is complex and often requires advanced analytical tools. The solution is designed to provide customers with a detailed, personalized explanation of their preferred features, empowering them to make informed decisions.

AWS

KDnuggets

JULY 23, 2025

LiteLLM enables users to maintain a detailed log of model API call usage, providing all the necessary information to control costs effectively. For example, the `completion` call above will have information about the token usage, as shown below. 06, additional_headers: {}, litellm_model_name: gemini/gemini-1.5-flash-latest}

Natural Language Processing

KDnuggets

JULY 22, 2025

These one-liners will help you efficiently parse, transform, and extract meaningful information from JSON data. This one-liner uses the get method with default values to safely extract nested information, ensuring robust code that also handles incomplete or malformed data. customer_emails = [order.get(customer, {}).get(email,

Python

Analytics Vidhya

DECEMBER 25, 2024

One useful application is building agents capable of searching the web to gather information and complete tasks. 70B appeared first on Analytics Vidhya.

Analytics

databricks

JUNE 11, 2025

Agent Bricks is optimized for common industry use cases, including structured information extraction, reliable knowledge assistance, custom text transformation, and orchestrated multi-agent systems. We auto-optimize over the knobs, gain confidence that you are on the most optimized settings. Agent Bricks is now available in beta.

Analytics

Analytics Vidhya

JUNE 29, 2025

Deep learning has revolutionised the AI field by allowing machines to grasp more in-depth information within our data. One of the most critical aspects of training deep learning models is how we feed our data […] The post Batch Processing vs Mini-Batch Training in Deep Learning appeared first on Analytics Vidhya.

Deep Learning

databricks

JUNE 11, 2025

Agent Bricks is optimized for common industry use cases, including structured information extraction, reliable knowledge assistance, custom text transformation, and building multi-agent systems. Just provide a high-level description of the agent’s task and connect your enterprise data — Agent Bricks handles the rest.

AI

Pickl AI

DECEMBER 3, 2024

Summary: Generative AI is transforming Data Analytics by automating repetitive tasks, enhancing predictive modelling, and generating synthetic data. Introduction Generative AI (GenAI) is transforming Data Analytics by enabling organisations to extract deeper insights and make more informed decisions.

Analytics

KDnuggets

JUNE 19, 2025

We compare Go and Python to help you make an informed decision. By Bala Priya C , KDnuggets Contributing Editor & Technical Content Specialist on June 19, 2025 in Programming Image by Author | Ideogram Youre architecting a new data pipeline or starting an analytics project, and you’re probably considering whether to use Python or Go.

Python

Analytics Vidhya

JUNE 26, 2025

It helps large language models (LLMs) perform better by letting them check information outside their training data before creating a response. This means LLMs can work well with specific company knowledge or new information without costly retraining.

Natural Language Processing

Data Science Dojo

OCTOBER 31, 2024

For instance, Berkeley’s Division of Data Science and Information points out that entry level data science jobs remote in healthcare involves skills in NLP (Natural Language Processing) for patient and genomic data analysis, whereas remote data science jobs in finance leans more on skills in risk modeling and quantitative analysis.

Data Science

Precisely

NOVEMBER 18, 2024

Read on for the highlights from this panel – including actionable tips to ensure success in your 2025 data, analytics, and AI initiatives. As Yoğurtçu points out, “metadata is critical” for driving insights in AI and advanced analytics. In the report, 67% of respondents say they use location intelligence, across various use cases.

Analytics

KDnuggets

JUNE 25, 2025

It acts as an “agentic” tool: given a complex query, it automatically devises a step-by-step research plan, browses hundreds of pages on the web for information, and synthesizes the results into a detailed report in minutes. It shows its reasoning. I have used this as a helping tool in the final writeup of my recent research work as well.

Natural Language Processing

Flipboard

JULY 1, 2025

Awesome Analytics: Top Analytics Tools and Frameworks Link: oxnr/awesome-analytics A curated list of analytics frameworks, software, and tools. Great for all levels, including non-technical people who want to explore no-code tools for data science or social media analytics.

Data Science