Sat.Jul 20, 2024 - Fri.Jul 26, 2024

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AI in Banking – How Artificial Intelligence is Used in Banks

insideBIGDATA

In this contributed article, Ishan Gupta. CEO and Co-founder of RipenApps, discusses how banks have historically been at the forefront of technological advancements, they are renowned for using computers as well as providing internet-based financial services. However, the rise of AI has brought with it a new dawn of innovations. These days, AI is disrupting the entire banking sector in several ways.

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5 Tools Every Data Scientist Needs in Their Toolbox in 2024

KDnuggets

From the soft tools to the hard tools, these are what make a data scientist successful.

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Top 10 Free AI Playgrounds For You to Try in 2024

Analytics Vidhya

Introduction Having the correct tools and platforms is crucial for learning and innovation in the constantly changing field of artificial intelligence. AI playgrounds offer a great opportunity to test advanced models and technologies without needing a lot of money. If you’re a scientist, creator, or fan, these play areas offer various features for different purposes. […] The post Top 10 Free AI Playgrounds For You to Try in 2024 appeared first on Analytics Vidhya.

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A New Standard in Open Source AI: Meta Llama 3.1 on Databricks

databricks

We are excited to partner with Meta to release the Llama 3.1 series of models on Databricks, further advancing the standard of powerful.

AI 363
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The 2nd Generation of Innovation Management: A Survival Guide

Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?

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Business Leaders Must Prioritize Data Quality to Ensure Lasting AI Implementation

insideBIGDATA

In this contributed article, Subbiah Muthiah, CTO of Emerging Technologies at Qualitest, takes a deep dive into how raw data can throw specialized AI into disarray. While raw data has its uses, properly processed data is vital to the success of niche AI. Industries such as medical, legal, and pharma require data that is contextualized, categorized, and verified.

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Bayesian Thinking in Modern Data Science

KDnuggets

Discover how Bayesian thinking transforms decision-making with its unique approach to updating initial beliefs with new evidence.

More Trending

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Enhancing LLM-as-a-Judge with Grading Notes

databricks

Evaluating long-form LLM outputs quickly and accurately is critical for rapid AI development. As a result, many developers wish to deploy LLM-as-judge methods.

AI 358
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GenAI Investment to Grow 30%, with High Maturity Companies Projecting Three Times Higher ROI Over the Next Three Years than Low-Adoption Peers

insideBIGDATA

GenAI investment is expected to grow 30%, with leaders from companies with high GenAI maturity anticipating their return on investment will be three-times higher over the next three years than that of companies with little or no adoption of the technology, according to a new report released by Boston Consulting Group (BCG).

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How to Use Conditional Formatting in Pandas to Enhance Data Visualization

KDnuggets

Tired of staring at bland dataframes? Discover how conditional formatting in Pandas can transform your data visualization experience!

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Free Generative AI Course: Pioneering the Future of Creativity and Innovation

Analytics Vidhya

Introduction Generative AI has been the hottest topic of the 21st century, revolutionizing industries with its ability to create text, images, music, and even entire virtual worlds, all with the touch of a button. From video editing to music creation, GenAI rules every sector. This technology transforms fields like art and entertainment, significantly impacting healthcare, […] The post Free Generative AI Course: Pioneering the Future of Creativity and Innovation appeared first on Analytics

AI 355
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Apache Airflow® Best Practices: DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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Databricks on Databricks: Kicking off the Journey to Governance with Unity Catalog

databricks

In this blog, we are excited to share Databricks's journey in migrating to Unity Catalog for enhanced data governance. We'll discuss our high-level strategy and the tools we developed to facilitate the migration. Our goal is to highlight the benefits of Unity Catalog and make you feel confident about transitioning to it.

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HPC/AI User Forum Event September 4-5 at Argonne National Laboratory, Lemont, Illinois Features Real-World Uses of AI in Industry, Science & Energy

insideBIGDATA

The HPC User Forum, established in 1999 to promote the health of the global HPC industry and address issues of common concern to users, has opened registration for its upcoming meeting, September 4-5, 2024, at Argonne National Laboratory in Lemont, Illinois.

AI 393
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Learn Data Analysis with Julia

KDnuggets

Setup the environment, load the data, perform data analysis and visualization, and create the data pipeline all using Julia programming language.

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Top 11 AI Tools to Replace SEO Agencies

Analytics Vidhya

Introduction Search engine optimization (SEO) has been impacted by the significant changes brought about by AI growth in many different areas. As businesses strive to improve their online presence and achieve higher search engine rankings, AI emerges as a game-changer, offering innovative solutions to streamline and enhance SEO practices. From automating mundane tasks to providing […] The post Top 11 AI Tools to Replace SEO Agencies appeared first on Analytics Vidhya.

AI 352
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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Introducing Mosaic AI Model Training for Fine-Tuning GenAI Models

databricks

Today, we're thrilled to announce that Mosaic AI Model Training's support for fine-tuning GenAI models is now available in Public Preview. At Databricks.

AI 346
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In AI We Don’t Trust: Too Many Healthcare Insurers Base Decisions on Assumption Over Data, Report Reveals

insideBIGDATA

The healthcare insurance sector in the US is struggling to make critical decisions due to a severe lack of accessibility, context and trust in their data. That is according to a new international study by ActiveOps, a leading provider of AI-powered decision intelligence for service operations.

AI 392
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Visualizing Data: A Statology Primer

KDnuggets

This collection of tutorials from our sister site Statology center on data visualization. Learn more about visualizing your data right here.

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5 Statistical Tests Every Data Scientist Should Know

Analytics Vidhya

Introduction In data science, having the ability to derive meaningful insights from data is a crucial skill. A fundamental understanding of statistical tests is necessary to derive insights from any data. These tests allow data scientists to validate hypotheses, compare groups, identify relationships, and make predictions with confidence. Whether you’re analyzing customer behavior, optimizing algorithms, […] The post 5 Statistical Tests Every Data Scientist Should Know appeared first

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Primary Key and Foreign Key constraints are GA and now enable faster queries

databricks

Dataricks is thrilled to announce the General Availability (GA) of Primary Key (PK) and Foreign Key (FK) constraints, starting in Databricks Runtime 15.2.

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Lack of Governance, Infrastructure Readiness, and IT Talent Leading to Enterprise GenAI Struggles: New Report 

insideBIGDATA

Despite growing interest and enthusiasm for Generative AI (GenAI), significant challenges are emerging that threaten the success of GenAI projects, according to a co-sponsored research report from Enterprise Strategy Group (ESG) and Hitachi Vantara, the data storage, infrastructure, and hybrid cloud management subsidiary of Hitachi, Ltd. (TSE: 6501).

AI 317
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Curating Cleaner Data In Messy Multimodal Modals

Adrian Bridgwater for Forbes

The biggest challenge in adopting artificial intelligence in the enterprise today is the lack of practices and tools for data curation and generative AI evaluation that can ensure the quality of results

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How to Run LLM Models Locally with Ollama?

Analytics Vidhya

Introduction Running large language models (LLMs) locally can be a game-changer, whether you’re experimenting with AI or building advanced applications. But let’s be honest—setting up your environment and getting these models to run smoothly on your machine can be a real headache. Enter Ollama, the platform that makes working with open-source LLMs a breeze.

Analytics 347
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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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5 Challenges in Machine Learning Adoption and How to Overcome Them

Machine Learning Mastery

Machine learning presents transformative opportunities for businesses and organizations across various industries. From improving customer experiences to optimizing operations and driving innovation, the applications of machine learning are vast. However, adopting machine learning solutions is not without challenges. These challenges span across data quality, technical complexities, infrastructure requirements, and cost constraints amongst others.

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How to Use the pivot_table Function for Advanced Data Summarization in Pandas

KDnuggets

Let's learn to use Pandas pivot_table in Python to perform advance data summarization

Python 308
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A Framework for Multi-Model Forecasting on Databricks

databricks

Introduction Time series forecasting serves as the foundation for inventory and demand management in most enterprises. Using data from past periods along with.

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How to Build Your Personal AI Assistant with Huggingface SmolLM?

Analytics Vidhya

Introduction In the not-so-distant past, the idea of having a personal AI assistant felt like something out of a sci-fi movie. Picture a tech-savvy inventor named Alex, who dreamed of having a smart companion to answer questions and provide insights, without relying on the cloud or third-party servers. With advancements in small language models (SLMs), […] The post How to Build Your Personal AI Assistant with Huggingface SmolLM?

AI 343
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Introduction to AutoML: Automating Machine Learning Workflows

Machine Learning Mastery

AutoML is a tool designed for both technical and non-technical experts. It simplifies the process of training machine learning models. All you have to do is provide it with the dataset, and in return, it will provide you with the best-performing model for your use case. You don’t have to code for long hours or […] The post Introduction to AutoML: Automating Machine Learning Workflows appeared first on MachineLearningMastery.com.

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How To Navigate the Filesystem with Python’s Pathlib

KDnuggets

Learn how to navigate and manage your filesystem with Python's built-in pathlib module.

Python 297
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Building Industry IoT and M2M Solutions With Databricks for Communications

databricks

The communications industry is experiencing immense change due to rapid technological advancements and evolving market trends. Communications service providers (CSP) build various solutions.

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Avoid These 5 Common Mistakes in AI that Every Novice Makes

Analytics Vidhya

Introduction Try to think of yourself as a student entering the first day at a new school. You are learning with enthusiasm but there are so many things which are new to you and this easily leads to the mistakes. The AI same is somewhat like that for a beginner – the world is interesting […] The post Avoid These 5 Common Mistakes in AI that Every Novice Makes appeared first on Analytics Vidhya.

AI 339
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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.