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ColBERT – Improve Retrieval Performance with Token Level Vector Embeddings

Analytics Vidhya

Introduction Retrieval Augmented-Generation (RAG) has taken the world by Storm ever since its inception. RAG is what is necessary for the Large Language Models (LLMs) to provide or generate accurate and factual answers. We solve the factuality of LLMs by RAG, where we try to give the LLM a context that is contextually similar to […] The post ColBERT – Improve Retrieval Performance with Token Level Vector Embeddings appeared first on Analytics Vidhya.

Modeling 319
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5 Free Courses to Master Math for Data Science

KDnuggets

Want to learn math for data science? Check out these three courses to learn linear algebra, calculus, statistics, and more.

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Quality Assurance, Errors, and AI

O'Reilly on Data

A recent article in Fast Company makes the claim “ Thanks to AI, the Coder is no longer King. All Hail the QA Engineer.” It’s worth reading, and its argument is probably correct. Generative AI will be used to create more and more software; AI makes mistakes and it’s difficult to foresee a future in which it doesn’t; therefore, if we want software that works, Quality Assurance teams will rise in importance.

Testing 183
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Salesforce Wants Everyone to be an Einstein with AI

David Menninger's Analyst Perspectives

I recently attended the Salesforce Trailblazer DX event to learn more about Salesforce’s artificial intelligence products and strategy. Fueled by generative AI, awareness and investment in AI seems to be exploding. ISG research shows that enterprises plan to nearly triple the portion of budgets allocated to AI over the next two years. This doesn’t come as a big surprise when you look at the outcomes enterprises are achieving: Of those that have invested in AI, more than 8 in 10 (84%) have had po

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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Webinar Summary: Agile, DataOps, and Data Team Excellence

DataKitchen

The hosted by Christopher Bergh with Gil Benghiat from DataKitchen covered a comprehensive range of topics centered around improving the performance and efficiency of data teams through Agile and DataOps methodologies. Gil Benghiat, co-founder of Data Kitchen, began by explaining the overarching goal of achieving data team excellence, which involves delivering business value quickly and with high quality.

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Gemini 1.5 Pro Goes Global with Powerful New Features

Analytics Vidhya

Introduction Google AI’s powerhouse language model, Gemini 1.5 Pro, has taken a significant step forward with its public preview release. Now accessible in over 180 countries via the Gemini API, this update boasts new features designed to empower developers and redefine human-computer interaction. This article digs deep into Gemini 1.5 Pro’s exciting new capabilities, accompanied […] The post Gemini 1.5 Pro Goes Global with Powerful New Features appeared first on Analytics Vidh

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AI Innovations in Data and Analytics at SAP

David Menninger's Analyst Perspectives

Data and analytics have become increasingly important to all aspects of business. The modern data and analytics stack includes many components, which creates challenges for enterprises and software providers alike. As my colleague Matt Aslett points out , a better term might be modern data and analytics smorgasbord. There are arguments for and against using an assortment of tools versus a consolidated platform.

Analytics 130
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4 ways generative AI addresses manufacturing challenges

IBM Big Data Hub

The manufacturing industry is in an unenviable position. Facing a constant onslaught of cost pressures, supply chain volatility and disruptive technologies like 3D printing and IoT. The industry must continually optimize process, improve efficiency, and improve overall equipment effectiveness. At the same time, there is this huge sustainability and energy transition wave.

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10 GitHub Repositories to Master Python

KDnuggets

Learn Python through tutorials, blogs, books, project work, and exercises. Access all of it on GitHub for free and join a supportive open-source community.

IT 144
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Understanding Overfitting in ConvNets

Analytics Vidhya

Introduction Overfitting in ConvNets is a challenge in deep learning and neural networks, where a model learns too much from training data, leading to poor performance on new data. This phenomenon is especially prevalent in complex neural architectures, which can model intricate relationships. Addressing overfitting in convnet is crucial for building reliable neural network models. […] The post Understanding Overfitting in ConvNets appeared first on Analytics Vidhya.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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10 highest-paying IT skills for 2024

CIO Business Intelligence

IT has always been known as a lucrative industry for job seekers, but in the past year, with increased layoffs, some of that confidence has wavered. According to a report from Indeed , a large part of this shift has come as organizations focus more on adopting AI in the workplace. As a result, AI skills are now among the most sought-after skills, even as companies retrench via layoffs.

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Uplevel your data architecture with real- time streaming using Amazon Data Firehose and Snowflake

AWS Big Data

Today’s fast-paced world demands timely insights and decisions, which is driving the importance of streaming data. Streaming data refers to data that is continuously generated from a variety of sources. The sources of this data, such as clickstream events, change data capture (CDC), application and service logs, and Internet of Things (IoT) data streams are proliferating.

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Building the human firewall: Navigating behavioral change in security awareness and culture

IBM Big Data Hub

The latest findings of the IBM X-Force® Threat Intelligence Index report highlight a shift in the tactics of attackers. Rather than using traditional hacking methods, there has been a significant 71% surge in attacks where criminals are exploiting valid credentials to infiltrate systems. Info stealers have seen a staggering 266% increase in their utilization, emphasizing their role in acquiring these credentials.

Metrics 85
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7 Steps to Mastering Data Engineering

KDnuggets

The only data engineering roadmap you need for an introduction to concepts, tools, and techniques to collect, store, transform, analyze, and model data.

Modeling 126
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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AI Startup Mistral Releases New Open Source Model Mixtral 8x22B

Analytics Vidhya

French startup, Mistral AI, has launched its latest large language model (LLM), Mixtral 8x22B, into the artificial intelligence (AI) landscape. Similar to its previous models, this too aligns with Mistral’s commitment to open-source development. This impressive new model positions the company as a formidable competitor to industry giants like OpenAI, Meta, and Google.

Modeling 305
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Oracle makes its pitch for the enterprise cloud. Should CIOs listen?

CIO Business Intelligence

In a cloud market dominated by three vendors, once cloud-denier Oracle is making a push for enterprise share gains, announcing expanded offerings and customer wins across the globe, including Japan , Mexico , and the Middle East. But with Amazon Web Services (31%), Microsoft Azure (24%), and Google Cloud Platform (11%) accounting for two thirds of the worldwide market, according to Synergy Research Group, Oracle Cloud Infrastructure (OCI) remains distantly behind the behemoths, leaving many to

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Achieve near real time operational analytics using Amazon Aurora PostgreSQL zero-ETL integration with Amazon Redshift

AWS Big Data

“Data is at the center of every application, process, and business decision. When data is used to improve customer experiences and drive innovation, it can lead to business growth,” – Swami Sivasubramanian , VP of Database, Analytics, and Machine Learning at AWS in With a zero-ETL approach, AWS is helping builders realize near-real-time analytics. Customers across industries are becoming more data driven and looking to increase revenue, reduce cost, and optimize their business operations by impl

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The future of application delivery starts with modernization

IBM Big Data Hub

IDC estimates that 750 million cloud native will be built by 2025. Where and how these applications are deployed will impact time to market and value realization. The reality is that application landscapes are complex, and they challenge enterprises to maintain and modernize existing infrastructure, while delivering new cloud-native features. Three in four executives reported disparate systems in their organizations and that a lack of skills, resources and common operational practices challenge

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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7 Things Students Are Missing in a Data Science Resume

KDnuggets

Adding these 7 key elements to your resume will improve your odds of getting an interview call. Remember, after graduating from the university, your full-time job is to find a job, so put some effort into preparing your resume.

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Elon Musk’s xAI Launches Preview of Grok-1.5V Multimodal Model

Analytics Vidhya

Elon Musk’s xAI recently showcased a preview of its multimodal AI model Grok-1.5V, which looks quite promising. This innovative new AI model bridges the gap between textual and visual understanding, marking a significant milestone in artificial intelligence (AI). Also Read: OpenAI and Meta Set to Launch New AI Models with Reasoning Capabilities Grok-1.5V: Redefining Multimodal […] The post Elon Musk’s xAI Launches Preview of Grok-1.5V Multimodal Model appeared first on Analytic

Modeling 288
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Regulation remains the strongest multiplier to cybersecurity growth

CIO Business Intelligence

In 2023, the United Arab Emirates actively repelled more than 50.000 cyberattacks daily, explained the UAE Cybersecurity Council. In the first three quarters of the same year, the country successfully prevented over 71 million attempted attacks in total. According to a report from Frost & Sullivan, the GCC cybersecurity industry continues to grow, with F&S estimating it to triple in value by 2030 to reach 13.4 billion USD, countries like the UAE and Saudi Arabia continue to reduce their

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Learn About Cloudera’s Partner Network

Cloudera

Businesses around the world rely on an extensive network of partnerships to deliver quality customer experiences—and it’s no different here at Cloudera. Cloudera is building a robust partner ecosystem to meet the unique needs of its customers, working to provide exceptional and fulfilling experiences that help make Cloudera a leader in the multi-cloud data platform space.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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IBM researchers to publish FHE challenges on the FHERMA platform

IBM Big Data Hub

To foster innovation in fully homomorphic encryption (FHE), IBM® researchers have begun publishing challenges on the FHERMA platform for FHE challenges launched in late 2023 by the Fair Math and the OpenFHE community. FHE: A new frontier in technology Fully homomorphic encryption is a groundbreaking technology with immense potential. One of its notable applications lies in enhancing medical AI models.

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Geospatial Data Analysis with Geemap

KDnuggets

A Python library for creating interactive maps with Google Earth Engine and ipyleaflet.

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Mastering Graph Neural Networks From Graphs to Insights

Analytics Vidhya

Introduction Mastering Graph Neural Networks is an important tool for processing and learning from graph-structured data. This creative method has transformed a number of fields, including drug development, recommendation systems, social network analysis, and more. Before diving into the fundamentals and GNN implementation, it’s essential to understand the fundamental concepts of graphs, including nodes, vertices, […] The post Mastering Graph Neural Networks From Graphs to Insights a

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Seekr finds the AI computing power it needs in Intel’s cloud

CIO Business Intelligence

For IT leaders, the question of where to run AI workloads and how to do so affordably are fast becoming top of mind — especially at scale. But for Rob Clark, president and CTO of AI developer Seekr, such questions are business-critical. Seekr’s main business is building and training AIs that are transparent to enterprise and other users. The company needs massive computing power with CPUs and GPUs that are optimized for AI development, says Clark, adding that Seekr looked at the infrastructure i

IT 111
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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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The Role of Data Structures and Algorithms in Software Development

Smart Data Collective

Explore how data structures and algorithms power software development. Learn key concepts and best practices for efficient coding.

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How the Masters uses watsonx to manage its AI lifecycle

IBM Big Data Hub

At the Masters®, storied tradition meets state-of-the-art technology. Through a partnership spanning more than 25 years, IBM has helped the Augusta National Golf Club capture, analyze, distribute and use data to bring fans closer to the action, culminating in the AI-powered Masters digital experience and mobile app. Now, whether they’re lining the fairways or watching from home, fans can more fully appreciate the performance of the world’s best golfers at the sport’s most

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The Case of Homegrown Large Language Models

KDnuggets

Recent developments in building large language models (LLMs) to boost generative AI in local languages have caught everyone’s attention. This post focuses on the needs and challenges of homegrown LLMs amid the fast-evolving technology landscape.

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Top 11 Model Deployment and Serving Tools

Analytics Vidhya

Introduction Machine learning models hold immense potential, but they need to be effectively integrated into real-world applications to unlock their true value. This is where model deployment and serving tools come into play. These tools act as a bridge, facilitating the transition of a trained model from the development environment to a production setting.

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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

Embark on a transformation journey into the heart of the data ecosystem! This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Delve into the diverse use cases where data analytics plays a pivotal role. We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond.