Sat.Nov 02, 2024 - Fri.Nov 08, 2024

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Hands-on Guide to Building Multi-Agent Chatbots with Autogen

Analytics Vidhya

Chatbots have evolved from simple question-answer systems to sophisticated, intelligent agents capable of handling complex conversations. As interactions in various fields become more nuanced, the demand for chatbots that can seamlessly manage multiple participants and complex workflows grows. Thanks to frameworks like AutoGen, creating dynamic multi-agent environments is now more accessible.

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‘Just-in-time’ AI: Has its moment arrived?

CIO Business Intelligence

Just as Japanese Kanban techniques revolutionized manufacturing several decades ago, similar “just-in-time” methods are paying dividends as companies get their feet wet with generative AI. “The timeliness is critical. You don’t want to do the work too much in advance because you want that real-time context. We activate the AI just in time,” says Sastry Durvasula, chief information and client services officer at financial services firm TIAA.

IT 132
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The Race For Data Quality in a Medallion Architecture

DataKitchen

The Race For Data Quality In A Medallion Architecture The Medallion architecture pattern is gaining traction among data teams. It is a layered approach to managing and transforming data. The Medallion architecture is a design pattern that helps data teams organize data processing and storage into three distinct layers, often called Bronze, Silver, and Gold.

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A Planning Center of Excellence Delivers Performance Improvement

David Menninger's Analyst Perspectives

Artificial Intelligence and generative AI are beginning to change how enterprises do many things, especially planning and budgeting. This technology has the potential to significantly redefine the mission of the financial planning and analysis group. It will do so by substantially reducing the time spent on the purely mechanical aspects of day-to-day tasks.

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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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Build an AI-Powered Valorant E-sports Manager with AWS Bedrock

Analytics Vidhya

AI is the future and there’s no doubt it will make headway into the entertainment and E-sports industries. Given the extreme competitiveness of E-sports, gamers would love an AI assistant or manager to build the most elite team with maximum edge. Such tools could in theory use vast data and find patterns or even strategies […] The post Build an AI-Powered Valorant E-sports Manager with AWS Bedrock appeared first on Analytics Vidhya.

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Best No-Code LLM App Builders

KDnuggets

Build an LLM application by easily picking and dropping components and connecting them, such as a vector store, web search, memory, and custom prompt.

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Capital One Offers Cost Controls for Cloud Data Warehouses

David Menninger's Analyst Perspectives

The adoption of cloud environments for analytic workloads has been a key feature of the data platforms sector in recent years. For two-thirds (66%) of participants in ISG’s Data Lake Dynamic Insights Research, the primary data platform used for analytics is cloud based. Many enterprises adopted cloud-based analytic data platforms with a view to improving operational efficiencies by reducing the need for upfront investment in physical infrastructure as well as the ability to scale cloud services

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What is Agentic AI Planning Pattern?

Analytics Vidhya

This is the third article of the series, Agentic AI Design Patterns; here, we will talk about the Agentic AI Planning Pattern. Let’s refresh what we have learned in the two articles – We have studied how agents can reflect and use tools to access information. In the Reflection pattern, we have seen the AI […] The post What is Agentic AI Planning Pattern?

Analytics 250
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Roadmap for Becoming a Data Scientist

KDnuggets

From learning Python to creating analytical reports, learn about ten easy steps to become a data scientist.

Reporting 138
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CIOs look to sharpen AI governance despite uncertainties

CIO Business Intelligence

As more generative AI projects move from proof-of-concept to production, CIOs will be shouldering the additional pressure of enacting AI governance policies to protect the enterprise — and their jobs. There is no dearth of AI governance frameworks available from the US government and European Union, as well as top market researchers, but no doubt, as gen AI innovation outpaces formal standards, CIOs will need to enact and hone internal AI governance policies in 2025 — and enlist the entire C-sui

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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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Restructuring Cybersecurity: Lessons from Microsoft's Recent Changes

David Menninger's Analyst Perspectives

The structures that govern enterprise security teams are under scrutiny. A recent report from a government watchdog group has taken issue with Microsoft’s cybersecurity strategies in the wake of its Exchange Server attacks, prompting the enterprise software giant to re-evaluate its reporting structures. The implications of this shift extend beyond Microsoft itself, with cybersecurity becoming a leading challenge for companies from every industry as cyber and ransomware attacks have grown in freq

Reporting 130
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50+ Generative AI Interview Questions

Analytics Vidhya

Generative AI is a newly developed field booming exponentially with job opportunities. Companies are looking for candidates with the necessary technical abilities and real-world experience building AI models. This list of interview questions includes descriptive answer questions, short answer questions, and MCQs that will prepare you well for any generative AI interview.

Modeling 233
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7 Python Projects to Boost Your Data Science Portfolio

KDnuggets

Enhance your data science portfolio with these seven engaging Python projects that demonstrate essential programming and software engineering skills.

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UK launches platform to help businesses manage AI risks, build trust

CIO Business Intelligence

The UK government has introduced an AI assurance platform, offering British businesses a centralized resource for guidance on identifying and managing potential risks associated with AI, as part of efforts to build trust in AI systems. About 524 companies now make up the UK’s AI sector, supporting more than 12,000 jobs and generating over $1.3 billion in revenue, the UK government said.

Risk 130
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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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Beyond Buzzwords: How HR Tech Can Drive DEIB Success

David Menninger's Analyst Perspectives

For many years, HR teams encountered an endless stream of buzzwords often intended to garner excitement about new technological developments or further evolution of the HR profession. Unfortunately, this often leads us down unproductive paths in the attempt to be part of the conversation. Often, executives and senior leaders will express a requirement to include the latest buzzwords in any software RFPs as a minimum for participation.

Software 130
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AI Agents for Decision Makers: Your Guide to Building Next-Gen Enterprises

Analytics Vidhya

Senior leaders, including CXOs, constantly face the challenge of having to quickly make informed decisions that shape the future of their organizations. This decision-making process can often become overwhelming, owing to the ever-increasing volume of data and the complexity of modern business. Fortunately, advancements in artificial intelligence (AI) are bringing out innovative solutions and tools […] The post AI Agents for Decision Makers: Your Guide to Building Next-Gen Enterprises appe

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Stream real-time data into Apache Iceberg tables in Amazon S3 using Amazon Data Firehose

AWS Big Data

As businesses generate more data from a variety of sources, they need systems to effectively manage that data and use it for business outcomes—such as providing better customer experiences or reducing costs. We see these trends across many industries—online media and gaming companies providing recommendations and customized advertising, factories monitoring equipment for maintenance and failures, theme parks providing wait times for popular attractions, and many others.

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Redefining customer experience: How AI is revolutionizing Mastercard

CIO Business Intelligence

In an era where technology reshapes entire industries, I’ve had the privilege of leading Mastercard on an extraordinary journey. Once synonymous with a simple plastic credit card to a company at the forefront of digital payments, we’ve consistently pushed the boundaries of innovation while respecting tradition and our relationships with our merchants, banks, and customers.

B2B 131
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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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Generative Automation: An Alternative for Process Optimization

David Menninger's Analyst Perspectives

Agents are all the rage — and for a good reason. They are a way to automate work almost effortlessly so that repetitive and boring tasks get done with the least amount of effort on the part of the operator. In business, agents can be a boon for customer satisfaction and a way to improve worker productivity. They are alluring, with an almost unlimited number of potential use cases.

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Jamba 1.5: Hybrid Mamba-Transformer Model for Advanced NLP

Analytics Vidhya

Jamba 1.5 is an instruction-tuned large language model that comes in two versions: Jamba 1.5 Large with 94 billion active parameters and Jamba 1.5 Mini with 12 billion active parameters. It combines the Mamba Structured State Space Model (SSM) with the traditional Transformer architecture. This model, developed by AI21 Labs, can process a 256K effective […] The post Jamba 1.5: Hybrid Mamba-Transformer Model for Advanced NLP appeared first on Analytics Vidhya.

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Navigating AI Regulation: Balancing Innovation and Protection

KDnuggets

In this article, we will learn how to navigate the fine balance building AI regulation while simultaneously fostering innovation.

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CIO metrics are failing digital transformation; it’s time to radically rethink success

CIO Business Intelligence

As organizations continue their digital transformation (DX) journeys, the role of the CIO evolves. However, the metrics used to evaluate CIOs are hindering progress. As digital transformation becomes a critical driver of business success, many organizations still measure CIO performance based on traditional IT values rather than transformative outcomes.

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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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Verint Focuses Bots on Contact Center Outcomes

David Menninger's Analyst Perspectives

Verint is operating in quite a different marketplace for contact center and agent management technology than existed five years ago. We have seen tremendous innovation and expansion of the available technologies for running centers and optimizing the performance of the human labor pool, as well as an explosion of tools built to automate customer interactions.

ROI 130
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Boost Model Evaluation with Custom Metrics in LLaMA-Factory

Analytics Vidhya

In this guide, I’ll walk you through the process of adding a custom evaluation metric to LLaMA-Factory. LLaMA-Factory is a versatile tool that enables users to fine-tune large language models (LLMs) with ease, thanks to its user-friendly WebUI and comprehensive set of scripts for training, deploying, and evaluating models. A key feature of LLaMA-Factory is LLaMA Board, […] The post Boost Model Evaluation with Custom Metrics in LLaMA-Factory appeared first on Analytics Vidhya.

Metrics 197
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Reduce your compute costs for stream processing applications with Kinesis Client Library 3.0

AWS Big Data

Amazon Kinesis Data Streams is a serverless data streaming service that makes it straightforward to capture and store streaming data at any scale. Kinesis Data Streams not only offers the flexibility to use many out-of-box integrations to process the data published to the streams, but also provides the capability to build custom stream processing applications that can be deployed on your compute fleet.

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Where many CIOs’ strategic visions fall short

CIO Business Intelligence

Setting direction is the first task of leadership. That’s because, by definition, you’re only leading when others are following. Leaders, that is, are supposed to say, “Follow me!” Those who are supposed to follow have every right to ask, “Where to?” “I don’t know” is not an answer likely to garner energetic enthusiasm. But even if you have a better answer, you aren’t done answering questions.

Risk 128
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Introducing CDEs to Your Enterprise

Explore how enterprises can enhance developer productivity and onboarding by adopting self-hosted Cloud Development Environments (CDEs). This whitepaper highlights the simplicity and flexibility of cloud-based development over traditional setups, demonstrating how large teams can leverage economies of scale to boost efficiency and developer satisfaction.

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Mastering f-strings in Python

KDnuggets

Discover how to leverage Python's f-strings (formatted string literals) to write cleaner, more efficient, and more readable code.

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Does the Rise of AI-generated Content Affect Model Training?

Analytics Vidhya

Recently, there’s been a surge of tools claiming to detect AI-generated content with impressive accuracy. But can they really do what they promise? Let’s find out! A recent tweet by Christopher Penn exposes a major flaw: an AI detector confidently declared that the US Declaration of Independence was 97% AI-generated. Yes, a document written over 240 […] The post Does the Rise of AI-generated Content Affect Model Training?

Modeling 193
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Incremental refresh for Amazon Redshift materialized views on data lake tables

AWS Big Data

Amazon Redshift is a fast, fully managed cloud data warehouse that makes it cost-effective to analyze your data using standard SQL and business intelligence tools. You can use Amazon Redshift to analyze structured and semi-structured data and seamlessly query data lakes and operational databases, using AWS designed hardware and automated machine learning (ML)-based tuning to deliver top-tier price performance at scale.

Data Lake 106
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AI market evolution: Data and infrastructure transformation through AI

CIO Business Intelligence

Artificial Intelligence (AI), a term once relegated to science fiction, is now driving an unprecedented revolution in business technology. From nimble start-ups to global powerhouses, businesses are hailing AI as the next frontier of digital transformation. Nutanix commissioned U.K. research firm Vanson Bourne to survey 650 global IT, DevOps, and Platform Engineering decision-makers on their enterprise AI strategy.

Marketing 128
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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.