Sat.Aug 17, 2024 - Fri.Aug 23, 2024

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Is Hallucination in Large Language Models (LLMs) Inevitable?

Analytics Vidhya

Introduction You’ve probably interacted with AI models like ChatGPT, Claude, and Gemini for various tasks – answering questions, generating creative content, or assisting with research. But did you know these are examples of large language models (LLMs)? These powerful AI systems are trained on enormous text datasets, enabling them to understand and produce text that […] The post Is Hallucination in Large Language Models (LLMs) Inevitable?

Modeling 319
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74% of IT pros see AI making their skills obsolete

CIO Business Intelligence

AI’s long-term impact on the job market has sparked controversy and conversation — especially in tech. Whether AI is set to replace workers, augment jobs, or shift the necessary skillsets entirely , organizations — and IT pros alike — need to be prepared for an impending shift in how IT roles will be defined in the AI era and what skills will be needed going forward.

IT 145
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Data Quality Circles: The Key to Elevating Data and Analytics Team Performance

DataKitchen

Data Quality Circles: The Key to Elevating Data and Analytics Team Performance Introduction: The Pursuit of Quality in Data and Analytic Teams. According to a study by HFS Research, 75 percent of business executives do not have a high level of trust in their data. High-quality data underpins the reliability of insights, models’ accuracy, and decision-making processes’ efficacy.

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Giving up on the minimum viable data stack

Data Science and Beyond

Exploring why universal advice on startup data stacks is challenging, and the importance of context-specific decisions in data infrastructure.

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Activating Intent Data for Sales and Marketing

Sales and marketing leaders have reached a tipping point when it comes to using intent data — and they’re not looking back. More than half of all B2B marketers are already using intent data to increase sales, and Gartner predicts this figure will grow to 70 percent. The reason is clear: intent can provide you with massive amounts of data that reveal sales opportunities earlier than ever before.

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Synergy: Data Security Posture Management and Data Security Governance

TDAN

Several years ago, while working for a firm developing groundbreaking software, I proposed to my boss that we were, in fact, creating an entirely new market class of software. My boss quickly dismissed this notion, stating that software firms don’t create market categories — analyst firms do.

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Unlock scalable analytics with a secure connectivity pattern in AWS Glue to read from or write to Snowflake

AWS Big Data

In today’s data-driven world, the ability to seamlessly integrate and utilize diverse data sources is critical for gaining actionable insights and driving innovation. As organizations increasingly rely on data stored across various platforms, such as Snowflake , Amazon Simple Storage Service (Amazon S3), and various software as a service (SaaS) applications, the challenge of bringing these disparate data sources together has never been more pressing.

More Trending

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AI Challenges and How Cloudera Can Help

Cloudera

By now, every organization, regardless of industry, has at least explored the use of AI, if not already embraced it. In today’s market, the AI imperative is firmly here, and failing to act quickly could mean getting left behind. But even as adoption soars, struggles remain, and scalability continues to be a major issue. Organizations are quick to adopt AI, but getting it established across the organization brings a unique set of challenges that come into play.

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Debating the Future of AI With TitanML and Dataiku

Dataiku

The dynamic nature of AI has only amplified with the rise of GenAI , making its future all the more intriguing. During our 2024 Everyday AI Summits in Chicago, San Francisco, and New York, Ren Lee , SVP of Marketing at Dataiku, hosted a panel to analyze the potential future directions of AI in the enterprise. Attendees heard expert insights from Meryem Arik , CEO and Co-Founder at TitanML , Jed Dougherty , VP, Platform Strategy at Dataiku, and Florian Douetteau , CEO and Co-Founder at Dataiku.

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How AI and workflow expand the boundaries of digital business partnering and finance team value creation

Jedox

Effective communication and collaboration are no longer just nice-to-have — they are essential for driving success. The Office of Finance is at the heart of every organization, overseeing financial strategy, risk management, and operational efficiency. Often it is a challenge for finance teams to align with stakeholders across business units, departments, and time zones.

Finance 84
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Llama-3.1-Storm-8B: The 8B LLM Powerhouse Surpassing Meta and Hermes Across Benchmarks

Analytics Vidhya

Introduction In language models, where the quest for efficiency and precision is paramount, Llama 3.1 Storm 8B emerges as a notable achievement. This fine-tuned version of Meta’s Llama 3.1 8B Instruct represents a leap forward in enhancing conversational and function-calling capabilities within the 8B parameter model class. The journey to this advancement is rooted in […] The post Llama-3.1-Storm-8B: The 8B LLM Powerhouse Surpassing Meta and Hermes Across Benchmarks appeared first on Analy

Modeling 350
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Revolutionize QA: GAPs AI-Driven Accelerators for Smarter, Faster Testing

GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.

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10 Free Resources to Learn LLMs

KDnuggets

Learn large language models with these free resources from Deeplearning.AI, Microsoft, AWS, and more.

Modeling 148
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The end of digital transformation and the rise of business model innovation

CIO Business Intelligence

Digital transformation represented among the largest investments in technology to modernize businesses starting in the early 2000s. But the call for digital transformation really gained popularity after 2011 when Capgemini, in partnership with MIT, officially coined the term , defining it as “the use of technology to radically improve performance or the reach of businesses.

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Podcast: Open Source DataOps Tools on Roaring Elephant (Part 2)

DataKitchen

DataOps, the promising future that nobody seems to be able to make reality. But not for lack of trying: meet Chris Bergh, "Head Chef" at DataKitchen, joining us again to tell us how te filed evolved over the last few years. To get in.

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ChatGPT-4 vs. Llama 3.1 – Which Model is Better?

Analytics Vidhya

Introduction Artificial Intelligence has seen remarkable advancements in recent years, particularly in natural language processing. Among the numerous AI language models, two have garnered significant attention: ChatGPT-4 and Llama 3.1. Both are designed to understand and generate human-like text, making them valuable tools for various applications, from customer support to content creation.

Modeling 328
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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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NumPy with Pandas for More Efficient Data Analysis

KDnuggets

Improve your Pandas processing with the NumPy package.

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AI agents loom large as organizations pursue generative AI value

CIO Business Intelligence

Agents come in many forms, many of which respond to prompts humans issue through text or speech. Yet as organizations figure out how generative AI fits into their plans, IT leaders would do well to pay close attention to one emerging category: multiagent systems. In such systems, multiple agents execute tasks intended to achieve an overarching goal, such as automating payroll, HR processes, and even software development, based on text, images, audio, and video from large language models (LLMs

Sales 143
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Leveraging Annotation Tools for Accessible Web Design: A Guide for Inclusivity

Smart Data Collective

AI technology can do a lot to help make web design more inclusive and help people with disabilities use websites more easily.

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How Does AI Work?

Analytics Vidhya

Introduction Technology has given us a sense of imagining our world where machines can even identify our preferences and anticipate the things that we need along with analyzing past interactions to deliver better output. The future depicted in this world is not the future; it is the present, facilitated by Artificial Intelligence. From the virtual […] The post How Does AI Work?

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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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Top 5 Free Machine Learning Courses to Level Up Your Skills

KDnuggets

The article highlights five top free machine learning courses to enhance your skills.

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Chinese firms bypass US export restrictions on AI chips using AWS cloud

CIO Business Intelligence

Chinese firms are circumventing US export restrictions on advanced technologies by accessing them through cloud services provided by American companies like Amazon, according to a report from Reuters. Over the past two years, the US government has tightened regulations that prevent top US AI chip designers, such as Nvidia and AMD, from selling their high-performance AI chips to China, aiming to curb their military’s technological advancements.

Reporting 141
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How Kaplan, Inc. implemented modern data pipelines using Amazon MWAA and Amazon AppFlow with Amazon Redshift as a data warehouse

AWS Big Data

This post is co-written with Hemant Aggarwal and Naveen Kambhoji from Kaplan. Kaplan , Inc. provides individuals, educational institutions, and businesses with a broad array of services, supporting our students and partners to meet their diverse and evolving needs throughout their educational and professional journeys. Our Kaplan culture empowers people to achieve their goals.

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A Comprehensive Guide to Selenium with Python

Analytics Vidhya

Introduction Suppose you are a developer expected to carry out testing on a large web application. It is impossible to go through each feature and all the interactions one by one which may take days or even weeks. Enter Selenium, the game changing tool which automates web browser interaction and thus is more efficient when […] The post A Comprehensive Guide to Selenium with Python appeared first on Analytics Vidhya.

Testing 318
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Predicting the Future of Sales: How AI and Automation Will Revolutionize Strategies

In this exploration, we're diving into predictions about the future of sales. We're talking about a complete shake-up powered by automation and artificial intelligence (AI). These aren't just fancy tools — they're real game-changers. Automation and AI are here to redefine every interaction, making them smarter, faster, and more meaningful. From personalized customer journeys to streamlined sales processes, the goal is to make every moment count, enhancing both efficiency and connection.

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Building a Recommendation System with Hugging Face Transformers

KDnuggets

Learn how to build the recommendation system with advanced technology.

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What high-performance IT teams look like today — and how to build one

CIO Business Intelligence

Our mental models of what constitutes a high-performance team have evolved considerably over the past five years. Pre-pandemic, high-performance teams were co-located, multidisciplinary, self-organizing, agile, and data-driven. These teams focused on delivering reliable technology capabilities, improving end-user experiences, and establishing data and analytics capabilities.

IT 141
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Querying Minds Want to Know: Can a Data Fabric and RAG Clean up LLMs? – Part 4 : Intelligent Autonomous Agents

Data Virtualization

Reading Time: 9 minutes The field of artificial intelligence (AI) is more exciting than ever. The climate is full of creativity and innovation, and we’re learning that large language models (LLMs) have capabilities we can exploit in many ways. In previous posts, I spoke. The post Querying Minds Want to Know: Can a Data Fabric and RAG Clean up LLMs? – Part 4 : Intelligent Autonomous Agents appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysi

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(SAMPLE) How Generative AI is Revolutionizing Software Development? 

Analytics Vidhya

(SAMPLE) How Generative AI is Revolutionizing Software Development? Introduction Welcome to the future of software development! Generative AI (GenAI) has evolved from a mere buzzword into a powerful force that is fundamentally changing how we create software. No longer limited to theoretical concepts, GenAI is now at the forefront of innovation, automating tasks, generating code, […] The post (SAMPLE) How Generative AI is Revolutionizing Software Development?

Software 306
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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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5 Tips for Effective Data Visualization

KDnuggets

Looking to make your data visuals stand out? Check out these five tips for effective data visualization.

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Learn from past cloud-first mistakes for better AI

CIO Business Intelligence

The cloud computing revolution brought with it many innovations, but also lessons about the pitfalls of rapidly adopting new technologies without a well-planned strategy. Today, IT leaders are at a similar crossroads with the rise of generative AI. As organizations build their AI factories today in this new era, IT leaders have an opportunity to learn from their cloud-first sins of the past and strategically build in a way that prioritizes security, governance, and cost efficiencies over the l

Strategy 138
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Embed Amazon OpenSearch Service dashboards in your application

AWS Big Data

Customers across diverse industries rely on Amazon OpenSearch Service for interactive log analytics, real-time application monitoring, website search, vector database, deriving meaningful insights from data, and visualizing these insights using OpenSearch Dashboards. Additionally, customers often seek out capabilities that enable effortless sharing of visual dashboards and seamless embedding of these dashboards within their applications, further enhancing user experience and streamlining workflo

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A Guide to Understanding Interaction Terms

Analytics Vidhya

Introduction Interaction terms are incorporated in regression modelling to capture the effect of two or more independent variables in the dependent variable. At times, it is not just the simple relationship between the control variables and the target variable that is under investigation, interaction terms can be quite helpful at these moments. These are also […] The post A Guide to Understanding Interaction Terms appeared first on Analytics Vidhya.

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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.