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Exploring AI Agents in Customer Experience with Navin Dhananjaya

Analytics Vidhya

In this Leading with Data, we explore the transformative journey of Navin Dhananjaya, Chief Solutions Officer at Merkle, as he shares key milestones, practical applications of generative AI, and future possibilities for AI agents. Discover how AI is reshaping customer experiences and the data science landscape. You can listen to this episode of Leading with […] The post Exploring AI Agents in Customer Experience with Navin Dhananjaya appeared first on Analytics Vidhya.

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Building Inclusive Workplaces: HR Tech's Role in DEIB Transformation

David Menninger's Analyst Perspectives

Technology should be viewed as an enabler of program success for diversity, equity, inclusion and belonging, providing extended support that enables teams to expand their reach and ability to execute more complex business processes. AI-powered recruiting platforms, for example, help remove bias from the hiring process by analyzing job descriptions and identifying language that may unintentionally deter diverse candidates.

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AI Use Cases for Field Service

David Menninger's Analyst Perspectives

Field service is an often-overlooked area of the service equation, in part because managing its operations involves tools and activities outside of normal contact center models. Field service has a communications component, which is partly handled by contact centers. However, the bulk of field service management activity has to do with organizing the work of technicians and dispatchers.

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What Are Large Language Models? A Beginner’s Guide for 2025

KDnuggets

Curious about what LLMs are and want to know about them? Explore the Full Guide Right Here, Right Now!

Modeling 132
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Signal-Based Selling: How to Leverage 4 Key Buying Signals

As prospects define their problem, search for solutions, and even change jobs, they are generating high-value signals that the best go-to-market teams can leverage to close more deals. This is where signal-based selling comes into play. ZoomInfo CEO Henry Schuck recently broke down specific ways to put four key buying signals into action with the experts from 30 Minutes to President’s Club.

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CIOs are rethinking how they use public cloud services. Here’s why.

CIO Business Intelligence

Over the past few years, enterprises have strived to move as much as possible as quickly as possible to the public cloud to minimize CapEx and save money. Increasingly, however, CIOs are reviewing and rationalizing those investments. Are they truly enhancing productivity and reducing costs? In the rush to the public cloud, a lot of people didnt think about pricing, says Tracy Woo, principal analyst at Forrester.

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Build a high-performance quant research platform with Apache Iceberg

AWS Big Data

In our previous post Backtesting index rebalancing arbitrage with Amazon EMR and Apache Iceberg , we showed how to use Apache Iceberg in the context of strategy backtesting. In this post, we focus on data management implementation options such as accessing data directly in Amazon Simple Storage Service (Amazon S3), using popular data formats like Parquet, or using open table formats like Iceberg.

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How to Monitor Docker Containers

KDnuggets

This guide highlights the importance of container monitoring, key metrics to track, and tools ranging from Docker's built-in commands to comprehensive systems like Prometheus and Grafana.

Metrics 102
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Stretch your AI dollar and accelerate AI adoption

CIO Business Intelligence

Given their lack of scale and resources as compared to larger enterprises, its no wonder that small to medium businesses (SMBs) weigh every decision to adopt new, emerging technologies more prudently. But this also comes without the layers of bureaucracy that plague larger enterprises. As a result, SMBs are nimbler and more responsive to change as they navigate their growth, which grants them the freedom to adopt agile practices, stay ahead of changing market trends, and drive innovation.

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Cost Optimized Vector Database: Introduction to Amazon OpenSearch Service quantization techniques

AWS Big Data

The rise of generative AI applications has heightened the necessity to implement semantic search and natural language search. These advanced search features help find and retrieve conceptually relevant documents from enterprise content repositories to serve as prompts for generative AI models. Raw data within various source repositories in the form of text, images, audio, video, and so on are converted, with the help of embedding models, to a standard numerical representation called vectors that

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IT Departments to Become HR for AI Agents: Jensen Huang

Analytics Vidhya

Lets just say that 2025 is going to be the year of AI Agents! With so much happening in the AI space, the role of AI in our daily life is only going to increase hereon. If you have been following the updates of CES 2025 – you will surely agree with me. In the […] The post IT Departments to Become HR for AI Agents: Jensen Huang appeared first on Analytics Vidhya.

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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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There Are Gaps in the CX Toolkit Waiting to Be Filled

David Menninger's Analyst Perspectives

The breadth of customer experience (CX) solutions created by software providers in recent years has expanded into new areas, usually related or adjacent to existing, more traditional toolkits. Most providers in the space began as more-or-less pure play contact center software providers, so the CX toolset starts with that set of technologies. Products are grounded in core functions for service delivery, like interaction handling, labor management and customer tracking.

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How to Use dataframe.map() for Element-wise Operations in Pandas

KDnuggets

Element-wise operations are a crucial part of data preprocessing in Pandas. Learn how to perform them with practical examples using the DataFrame.map() function.

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Transformación digital en 2025: qué está de moda y qué no

CIO Business Intelligence

Algunos sostienen que la aparicin de la inteligencia artificial (IA) generativa ha hecho que la transformacin digital sea cosa del pasado.Transformacin de IAes el trmino que se utiliza para describirla. Otros sugieren que todo debera llamarse transformacin empresarial o, simplemente, transformacin. Qu terminologa debera utilizar? La que genere el mayor llamado a la accin por parte de su junta directiva, ejecutivos y empleados, porque mantener el statu quo es un camino seguro hacia la disrupcin.

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Batch data ingestion into Amazon OpenSearch Service using AWS Glue

AWS Big Data

Organizations constantly work to process and analyze vast volumes of data to derive actionable insights. Effective data ingestion and search capabilities have become essential for use cases like log analytics, application search, and enterprise search. These use cases demand a robust pipeline that can handle high data volumes and enable efficient data exploration.

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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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Mastering Zero-Shot and Few-Shot Text Classification with SCIKIT-LLM

Analytics Vidhya

Analyzing customer sentiment and key themes from textual data has always been a time-intensive task, requiring data collection, manual labeling, and fine-tuning specialized models. But what if you could skip the hassle of training a model and still achieve accurate results? Enter zero-shot text classification, a groundbreaking approach powered by Large Language Models (LLMs).

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How Far We Can Go with GenAI as an Information Extraction Tool

Ontotext

Introduction In the real world, obtaining high-quality annotated data remains a challenge. Generative AI (GenAI) models, such as GPT-4, offer a promising solution, potentially reducing the dependency on labor-intensive annotation. At Graphwise, we aim to make knowledge graph construction faster and more cost-effective. Therefore we explored how GenAI could automate several stages of the graph-building pipeline.

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How I Would Learn Data Science in 2025 (If I Could Start Over)

KDnuggets

Five years ago, I was a data science beginner learning the ropes. If I could start anew in 2025, here's what I would do.

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Akeneo aims to transform the retail playbook with AI and data consistency

CIO Business Intelligence

Australian retailers have spent much of the last few years buffeted by economic challenges. In 2024, squeezed by the rising cost of living, inflationary impact, and interest rates, they are now grappling with declining consumer spending and confidence. But 2025 and 2026 will bear good news, according to Deloitte. A rebound is on the horizon, which means a substantial opportunity for growth for those retailers that can get ahead of the curve.

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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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From Machine Learning to AI: Simplifying the Path to Enterprise Intelligence

Cloudera

A Name That Matches the Moment For years, Clouderas platform has helped the worlds most innovative organizations turn data into action. As the AI landscape evolves from experiments into strategic, enterprise-wide initiatives, its clear that our naming should reflect that shift. Thats why were moving from Cloudera Machine Learning to Cloudera AI. This isnt just a new label or even AI washing.

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Exploring Embedding Models with Vertex AI

Analytics Vidhya

Vectors are the basis for the majority of the most complex artificial intelligence applications, including semantic search or anomaly detection. In this article, we start right at the front with the basics of embeddings, moving on to understand sentence embeddings and vector representations. Well discuss simple practical approaches including mean pooling, cosine similarity and architecture […] The post Exploring Embedding Models with Vertex AI appeared first on Analytics Vidhya.

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Simplifying Cloud Database Management with Infrastructure Automation

Smart Data Collective

Streamline your operations! Discover how infrastructure automation can simplify cloud database management for efficiency and scalability.

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Implementing Data Quality Assurance in Data Science Pipelines with Great Expectations

KDnuggets

This article shows how to use Great Expectations to check data quality in data science projects.

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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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10 top priorities for CIOs in 2025

CIO Business Intelligence

As 2025 dawns, CIOs face an IT landscape that differs significantly from just a year ago. AI, once viewed as a novel innovation, is now mainstream, impacting just about facet of the enterprise. Over the next 12 months, IT leaders can look forward to even more innovations, as well as some serious challenges. To keep ahead of the curve, CIOs should continuously evaluate their business and technology strategies, adjusting them as necessary to address rapidly evolving technology, business, and econo

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Bringing Behavioral Science into Banking: A Data-Driven Approach to Hyper-Personalization and Innovation

Data Virtualization

Reading Time: 6 minutes In the realm of retail banking, data-driven insights reveal what customers do, but they often fail to capture why they make certain decisions. This “why” encompasses the psychological driverslike loss aversion, herd mentality, and emotional biasesthat significantly shape financial behaviors. The post Bringing Behavioral Science into Banking: A Data-Driven Approach to Hyper-Personalization and Innovation appeared first on Data Management Blog - Data Integration

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Phi-4 Available on HuggingFace: A Big Thanks to Clem Delangue!

Analytics Vidhya

Just eight days into 2025, and the AI community is buzzing with incredible launches. The latest to make waves? Microsofts Phi-4, now available on HuggingFace with an MIT license! AI developers have been eagerly awaiting this release, and its finally here. What is Phi-4? Phi-4 is Microsofts latest small language model, introduced in December 2024. […] The post Phi-4 Available on HuggingFace: A Big Thanks to Clem Delangue!

Modeling 202
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AI Technology is the Future of NRI Banking for Indians

Smart Data Collective

AI has made banking much easier for non-resident Indians trying to use the country's financial services system.

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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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7 Data Science Projects to Land a 6 Figure Job

KDnuggets

In this article, Im going to share data science project ideas that will actually help you stand out. These are creative projects that solve problems with data, and Ive included source code and tutorials to help you replicate them.

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En marcha un test de estrés en español para medir los sesgos de la IA generativa

CIO Business Intelligence

Las aplicaciones basadas en grandes modelos de lenguajecomo GPT -el modelo detrs de ChatGPT-, Gemini o Llamahan hecho posible que cualquier usuario converse directamente con la inteligencia artificial (IA).Sus posibilidades para empresas y particulares son inmensas, pero su potencial tiene un doble filo: segn los datos con los que hayan sido entrenados y el tipo de entrenamiento, las respuestas de estos modelos de IA pueden contener mensajes sesgados por razn de sexo, raza, orientacin sexual, di

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Strengthening Cloudera’s Commitment to Corporate Equality

Cloudera

Inclusion and accessibility are at the heart of our mission and culture at Cloudera. This approach and our focus on inclusion are crucial to both our broader business objectives and to establishing the kind of workplace where our employees can be their best, authentic selves every day. As we strive to make data and analytics accessible, we pride ourselves on creating a working environment that makes every employee feel valued and supported, regardless of how they identify.

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Srikanth Velamakanni’s 2024 AI Predictions – Hit or Miss?

Analytics Vidhya

As we leap into 2025, AI is sprinting ahead, reshaping industries, careers, and how we live. Back in 2024, Srikanth Velamakanni, Fractal.ais co-founder, made bold AI predictions. Did they hit the mark? Let’s find out! Srikanth Velamakanni’s 2024 Predictions The first five predictions focused on Large Language Models (LLMs) and Foundation Models.

Modeling 205
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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.