July, 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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Multimodality in LLMs: Understanding its Power and Impact

Data Science Dojo

With the increasing role of data in today’s digital world, the multimodality of AI tools has become necessary for modern-day businesses. The multimodal AI market size is expected to experience a 36.2% increase by 2031. Hence, it is an important aspect of the digital world. In this blog, we will explore multimodality within the world of large language models (LLMs) and how it impacts enterprises.

AI 367
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How ChatGPT is Changing the Face of Programming

KDnuggets

Empowering Developers and Transforming Programming Practices

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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 338
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Apache Airflow®: The Ultimate Guide to 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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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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NTT Data Puts Ultralight Touch On Edge AI

Adrian Bridgwater for Forbes

NTT Data is working to create smaller, task-specific AI models that make advanced AI capabilities accessible in edge computing environments across the Internet of Things.

More Trending

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How to Interview and Hire ML/AI engineers

Eugene Yan

What to interview for, how to structure the phone screen, interview loop, and debrief, and a few tips.

ML 322
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Landing a Data Engineer Role: Free Courses and Certifications

KDnuggets

Is it possible to learn data engineering for free? I claim it is and present the evidence for that in the form of 10 free data engineering courses.

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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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Comprehensive Guide to Build AI Agents from Scratch

Analytics Vidhya

Introduction This article introduces the ReAct pattern for improved capabilities and demonstrates how to create AI agents from scratch. It covers testing, debugging, and optimizing AI agents in addition to tools, libraries, environment setup, and implementation. This tutorial gives users the skills they need to create effective AI agents, regardless of whether they are developers […] The post Comprehensive Guide to Build AI Agents from Scratch appeared first on Analytics Vidhya.

AI 327
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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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Machine Learning Models: 4 Ways to Test them in Production

Data Science Dojo

Machine learning models are algorithms designed to identify patterns and make predictions or decisions based on data. These models are trained using historical data to recognize underlying patterns and relationships. Once trained, they can be used to make predictions on new, unseen data. Modern businesses are embracing machine learning (ML) models to gain a competitive edge.

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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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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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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.

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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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Welcoming Prodvana to Databricks: Investing in Next-Gen Infrastructure

databricks

The Prodvana team joins Databricks to support new innovations in the Data Intelligence Platform infrastructure. Learn more about the vision and what's ahead.

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Top 18 Companies Hiring Data Professionals through Hackathons

Analytics Vidhya

Introduction Forget endless resumes and interviews! Hackathons are now the new way for companies to find the best data professionals. These intense coding competitions bring together talented folks to tackle tricky problems. It’s a chance to show off your skills and think outside the box under friendly pressure. But it’s not just about bragging rights. […] The post Top 18 Companies Hiring Data Professionals through Hackathons appeared first on Analytics Vidhya.

Analytics 306
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Top 8 Machine Learning Algorithms

Data Science Dojo

By understanding machine learning algorithms, you can appreciate the power of this technology and how it’s changing the world around you! It’s like having a super-powered tool to sort through information and make better sense of the world. So, just like a super sorting system for your toys, machine learning algorithms can help you organize and understand massive amounts of data in many ways: Recommend movies you might like by learning what kind of movies you watch already.

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Embracing the Future: Generative AI for Executives

insideBIGDATA

In this feature article, Daniel D. Gutierrez, insideAInews Editor-in-Chief & Resident Data Scientist, believes that as generative AI continues to evolve, its potential applications across industries are boundless. For executives, understanding the foundational concepts of transformers, LLMs, self-attention, multi-modal models, and retrieval-augmented generation is crucial.

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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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What Is A Data Product?

Adrian Bridgwater for Forbes

We are now at a point where we can talk about so-called "data products" as defined information entities that exist in a more formally coalesced and correlated way that.

Big Data 312
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Tools Every Data Scientist Should Know: A Practical Guide

KDnuggets

Discover the essential tools every data scientist should know to elevate their data science game, from Python and R to SQL and advanced visualization tools.

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Ingest data from SQL Server, Salesforce, and Workday with LakeFlow Connect

databricks

We’re excited to announce the Public Preview of LakeFlow Connect for SQL Server, Salesforce, and Workday. These ingestion connectors enable simple and efficient.

SQL 322
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Optimizing AI Performance: A Guide to Efficient LLM Deployment

Analytics Vidhya

Introduction In an era where artificial intelligence is reshaping industries, controlling the power of Large Language Models (LLMs) has become crucial for innovation and efficiency. Imagine a world where customer service chatbots not only understand but anticipate your needs, or where complex data analysis tools provide insights instantaneously. To unlock such potential, businesses must master […] The post Optimizing AI Performance: A Guide to Efficient LLM Deployment appeared first on Ana

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Prepare Now: 2025's 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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The Power of Data-Driven Marketing in 2024: Top Strategies and Benefits

Data Science Dojo

The relentless tide of data preserve—customer behavior, market trends, and hidden insights—all waiting to be harnessed. Yet, some marketers remain blissfully ignorant, their strategies anchored in the past. They ignore the call of data analytics, forsaking efficiency, ROI, and informed decisions. Meanwhile, their rivals ride the data-driven wave, steering toward success.

Analytics 301
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IT Pros Vote in Inaugural Brand Leader Survey Covering Enterprise Infrastructure for AI

insideBIGDATA

IT Brand Pulse, a trusted source for research, data, and analysis about data center infrastructure, announced the results of the 2024 IT Brand Leader Survey covering Enterprise Infrastructure for AI. Generative AI is considered the biggest technology inflection point in human history with hundreds of billions of dollars already invested to create a new universe of hardware, software, systems, and services designed for enterprise AI.

AI 417
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Elevated Infrastructure, Hitachi Vantara Up-Front On Backend Optimization

Adrian Bridgwater for Forbes

WIll unloved technology infrastructures finally be regarded like “cool new apps” across upper level of enterprise information technology?

Big Data 292
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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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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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Announcing Mosaic AI Agent Framework and Agent Evaluation

databricks

Databricks announced the public preview of Mosaic AI Agent Framework & Agent Evaluation alongside our Generative AI Cookbook at the Data + AI.

AI 317
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Meta Llama 3.1: Latest Open-Source AI Model Takes on GPT-4o mini

Analytics Vidhya

Introduction The year 2024 is turning out to be one of the best years in terms of progress on Generative AI. Just last week, we had Open AI launch GPT-4o mini, and just yesterday (23rd July 2024), we had Meta launch Llama 3.1, which has yet again taken the world by storm. What could be […] The post Meta Llama 3.1: Latest Open-Source AI Model Takes on GPT-4o mini appeared first on Analytics Vidhya.

AI 294
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Using Machine Learning in Customer Segmentation

Machine Learning Mastery

In the past, businesses grouped customers based on simple things like age or gender. Now, machine learning has changed this process. Machine learning algorithms can analyze large amounts of data. In this article, we will explore how machine learning improves customer segmentation. Introduction to Customer Segmentation Customer segmentation divides customers into different groups.

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Storj Acquires Leading AI Compute Provider, Valdi

insideBIGDATA

Storj announced a new era in distributed cloud innovation with the acquisition of Valdi. Storj is a leader in distributed cloud object storage, disrupting the $100 billion cloud storage market, delivering up to 90% cost savings and 90% less carbon emissions for customers. Valdi is the leader in on-demand high performance cloud computing (GPUs) widely used for AI training and inference in data-intensive industries like technology, research and life-sciences.

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Apache Airflow®: The Ultimate Guide to 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!