KDnuggets

NOVEMBER 17, 2021

With the customer at its heart, modern augmented BI platforms no longer require scripting/coding skills or the knowledge to build the back-end data models, empowering even laymen to harness the power of raw data. As a user, here are the top AI capabilities that you need to look for in BI software.

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Flipboard

MARCH 28, 2025

Today, we officially take the step to combine the data, models, compute, distribution and talent. This combination will unlock immense potential by blending xAIs advanced AI capability and expertise with Xs massive reach. xAI and Xs futures are intertwined, Musk wrote in a post on X.

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Data Science Dojo

AUGUST 19, 2024

The demand for AI scientist is projected to grow significantly in the coming years, with the U.S. AI researcher role is consistently ranked among the highest-paying jobs, attracting top talent and driving significant compensation packages. Interpolation: Use interpolation methods to estimate missing values in time series data.

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Hacker News

DECEMBER 18, 2024

Introducing the AI Integrity Suite a first-of-its-kind toolset for creating verifiable provenance and governance for AI data, models, and agents.

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Data Science Blog

JULY 23, 2023

Data Mesh on Azure Cloud with Databricks and Delta Lake for Applications of Business Intelligence, Data Science and Process Mining. It offers robust IoT and edge computing capabilities, advanced data analytics, and AI services. The data models are seen as data products with defined value, costs and ownership.

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Towards AI

FEBRUARY 7, 2024

Author(s): Ashutosh Malgaonkar Originally published on Towards AI. In order for us to start using any kind of data logic on this, we need to identify the board location first. Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI.

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Data Science Dojo

OCTOBER 31, 2024

Research Data Scientist Description : Research Data Scientists are responsible for creating and testing experimental models and algorithms. According to Google AI, they work on projects that may not have immediate commercial applications but push the boundaries of AI research.

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Data Science Dojo

APRIL 7, 2025

Ever wonder what happens to your data after you chat with an AI like ChatGPT ? Do you wonder who else can see this data? In the digital age, data is powe r. One of the ways to make sure that data is used responsibly is through data anonymization. Where does it go? Can it be traced back to you?

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Flipboard

NOVEMBER 20, 2024

Retrieval Augmented Generation (RAG) has become a crucial technique for improving the accuracy and relevance of AI-generated responses. The effectiveness of RAG heavily depends on the quality of context provided to the large language model (LLM), which is typically retrieved from vector stores based on user queries.

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Dataversity

AUGUST 12, 2024

One of the most important questions about using AI responsibly has very little to do with data, models, or anything technical. There’s a set of beliefs driven by over-exuberant AI hype – that AI is going to revolutionize everything! It has to do with the power of a captivating story about magical thinking.

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Hacker News

NOVEMBER 19, 2024

About the Role TigerEye is an AI Analyst for everyone in go-to-market. We track the changes in a company’s business to deliver instant, accurate answers to complex questions through a simple app.

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Data Science Dojo

SEPTEMBER 9, 2024

AI is reshaping the way businesses operate, and Large Language Models like GPT-4, Mistral, and LLaMA are at the heart of this change. The AI market, worth $136.6 yearly through 2030, showing just how fast AI is being adopted. AI governance is about setting rules to make sure AI is used responsibly and ethically.

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AWS Machine Learning Blog

NOVEMBER 18, 2024

In this post, we explain how InsuranceDekho harnessed the power of generative AI using Amazon Bedrock and Anthropic’s Claude to provide responses to customer queries on policy coverages, exclusions, and more. Continuous model enhancements – Amazon Bedrock provides access to a vast and continuously expanding set of FMs through a single API.

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Towards AI

JUNE 26, 2024

Last Updated on June 29, 2024 by Editorial Team Author(s): Anish Dubey Originally published on Towards AI. Context We have repeatedly seen that increasing the model parameters results in better performance (GPT-1 has 117M parameters, GPT-2 has 1.5B But the next set of questions is how to scale the AI model.

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Data Science Dojo

FEBRUARY 23, 2024

GPTs for Data science are the next step towards innovation in various data-related tasks. These are platforms that integrate the field of data analytics with artificial intelligence (AI) and machine learning (ML) solutions. What are GPTs for data science? This custom GPT is created by Open AI’s ChatGPT.

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AWS Machine Learning Blog

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). These powerful models, trained on vast amounts of data, can generate human-like text, answer questions, and even engage in creative writing tasks.

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IBM Journey to AI blog

MAY 29, 2024

As businesses strive to deliver cutting-edge solutions at an unprecedented pace, generative AI is poised to transform every stage of the software development lifecycle (SDLC). A McKinsey study shows that software developers can complete coding tasks up to twice as fast with generative AI.

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Women in Big Data

APRIL 4, 2025

Women in Big Data and LinkedIn hosted an empowering event The Responsible AI at Scale in LinkedIn HQ in Sunnyvale, CA on March 13 th , 2025, for people passionate about ethics, transparency and shaping the AI technologies of the future.

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Dataconomy

OCTOBER 15, 2024

I’ve found that while calculating automation benefits like time savings is relatively straightforward, users struggle to estimate the value of insights, especially when dealing with previously unavailable data. We were developing a data model to provide deeper insights into logistics contracts.

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Data Science Connect

JULY 21, 2024

AtScale is a data and analytics platform that provides a semantic layer solution, enabling users to bridge AI and BI by offering a unified view of data. AtScale integrates with major BI and cloud data platforms, allowing for seamless data access and analytics governance.

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Dataconomy

AUGUST 7, 2023

Artificial intelligence is no longer fiction and the role of AI databases has emerged as a cornerstone in driving innovation and progress. An AI database is not merely a repository of information but a dynamic and specialized system meticulously crafted to cater to the intricate demands of AI and ML applications.

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insideBIGDATA

JANUARY 19, 2023

I recently caught up with David Willingham, Principal Product Manager, MathWorks to discuss the evolution of data-centric AI and how engineers can best navigate – and benefit from – the transition to data-focused models within deep learning environments.

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Towards AI

JANUARY 11, 2024

Last Updated on January 12, 2024 by Editorial Team Author(s): Cornellius Yudha Wijaya Originally published on Towards AI. Exploring the way to perform tabular data science activity with LLMImage developed by DALL.E Large Language Models have been rising recently and will be like that in the upcoming year. How do we do?

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Pickl AI

MARCH 17, 2025

It is essential for creating new insights from existing data models in Power BI. Familiarity with Excel formulas can help, but DAX syntax is unique in its application to data model. Calculated Columns: New columns added to your data model based on DAX formulas, useful for deriving new data points from existing ones.

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Smart Data Collective

OCTOBER 20, 2021

As per the TDWI survey, more than a third (nearly 37%) of people has shown dissatisfaction with their ability to access and integrate complex data streams. Why is Data Integration a Challenge for Enterprises? How Can AI Transform Data Integration? This speeds up data transformation and decision-making.

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IBM Journey to AI blog

JUNE 28, 2024

Generative AI is shaping the future of telecommunications network operations. In addition to these capabilities, generative AI can revolutionize drive tests, optimize network resource allocation, automate fault detection, optimize truck rolls and enhance customer experience through personalized services.

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Dataconomy

OCTOBER 15, 2024

With this wave, it brought an even more potent force: Generative AI, otherwise known as Gen AI, which changed the way developers (novice and expert) interact with LCNC platforms. This article discusses how gen AI is driving innovation in low-code software development, with regards to the technological aspects and implications.

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Iguazio

JULY 22, 2024

AI and generative Al can lead to major enterprise advancements and productivity gains. One popular gen AI use case is customer service and personalization. Gen AI chatbots have quickly transformed the way that customers interact with organizations. Another less obvious use case is fraud detection and prevention.

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Flipboard

OCTOBER 25, 2023

Unstructured data is information that doesn’t conform to a predefined schema or isn’t organized according to a preset data model. Text, images, audio, and videos are common examples of unstructured data. Additionally, we show how to use AWS AI/ML services for analyzing unstructured data.

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IBM Journey to AI blog

MARCH 29, 2024

Imagine a future where artificial intelligence (AI) seamlessly collaborates with existing supply chain solutions, redefining how organizations manage their assets. If you’re currently using traditional AI, advanced analytics, and intelligent automation, aren’t you already getting deep insights into asset performance?

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Tableau

SEPTEMBER 12, 2024

Spencer Czapiewski September 12, 2024 - 8:38pm Karen Madera Senior Manager, Product Marketing, Tableau We’re in the midst of an autonomous revolution that’s reshaping the way businesses use data to gain a competitive edge, delight customers, and engage employees. View the demo to see Tableau Einstein in action: What is Tableau Einstein?

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Towards AI

JULY 30, 2023

Last Updated on August 1, 2023 by Editorial Team Author(s): Michael Weiss Originally published on Towards AI. Enterprise Adoption of Generative AI Hi, I’m Michael and I’ve been immersed in enterprise AI adoption since 2018 when we started an AI conference called Ai4.

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DataRobot

NOVEMBER 12, 2021

Only one in ten companies reports significant financial benefits from implementing AI, according to a recent study by BCG GAMMA, the BCG Henderson Institute, and the MIT Sloan Management Review. Few businesses now benefit from AI because they have not yet fully implemented it throughout their organizations. How can that be?

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AWS Machine Learning Blog

FEBRUARY 21, 2025

With the current housing shortage and affordability concerns, Rocket simplifies the homeownership process through an intuitive and AI-driven experience. Apache Hive was used to provide a tabular interface to data stored in HDFS, and to integrate with Apache Spark SQL. HBase is employed to offer real-time key-based access to data.

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Data Science Blog

AUGUST 22, 2024

Sponsored Post Generative AI is a significant part of the technology landscape. The effectiveness of generative AI is linked to the data it uses. Similar to how a chef needs fresh ingredients to prepare a meal, generative AI needs well-prepared, clean data to produce outputs.

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AWS Machine Learning Blog

DECEMBER 9, 2024

With access to a wide range of generative AI foundation models (FM) and the ability to build and train their own machine learning (ML) models in Amazon SageMaker , users want a seamless and secure way to experiment with and select the models that deliver the most value for their business. An MLflow 2.16.2

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Smart Data Collective

DECEMBER 19, 2021

The rise of machine learning and the use of Artificial Intelligence gradually increases the requirement of data processing. That’s because the machine learning projects go through and process a lot of data, and that data should come in the specified format to make it easier for the AI to catch and process.

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