Sat.Oct 12, 2024 - Fri.Oct 18, 2024

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AI Bytes: OpenAI, Meta, NVIDIA Lead Breakthroughs amid Industry Challenges

Analytics Vidhya

Introduction The past week in artificial intelligence has been marked by rapid advancements in model capabilities, hardware, and ethical considerations, sparking conversations about the societal impacts of AI. From OpenAI’s $6.6 billion funding round, pushing its valuation to $157 billion, to Meta’s ambitious launch of Movie Gen for video generation, the landscape is evolving quickly. […] The post AI Bytes: OpenAI, Meta, NVIDIA Lead Breakthroughs amid Industry Challenges appeared first on

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Six steps to creating a successful IT strategy: A guide for CIOs

CIO Business Intelligence

In today’s rapidly evolving technological landscape, the role of the CIO has transcended simply managing IT infrastructure to becoming a pivotal player in enabling business strategy. The IDC IT Strategy Framework provides a structured approach for CIOs to align IT initiatives with business goals, ensuring that technology investments drive organizational success.

Strategy 132
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10 Key Insights Every Executive Should Know About GenAI

Dataiku

This article was written by our friends at Databricks. Databricks is the data and AI company. More than 10,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to take control of their data and put it to work with AI.

IT 78
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Henry Ford Does AI

O'Reilly on Data

Back in August , I cavalierly said that AI couldn’t design a car if it hadn’t seen one first, and I alluded to Henry Ford’s apocryphal statement “If I had asked people what they wanted, they would have said faster horses.” I’m not backing down on any of that, but the history of technology is always richer than we imagine. Daimler and Benz get credit for the first automobile, but we forget that the “ steam engine welded to a tricycle ” was invented in 1769, over a hundred years earlier.

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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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Evolution of Agentic RAG: From Long-context, RAG to Agentic RAG

Analytics Vidhya

So far, various models have served distinct purposes in artificial intelligence. These models have significantly impacted human life, from understanding and generating text based on input to significantly striding in natural language processing. However, while these models set benchmarks for linguistic tasks, they fall short when it comes to adding real-world action and interactions.

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Fauna’s Data Platform Combines Agility and Transaction Integrity

David Menninger's Analyst Perspectives

As I noted in the 2024 Buyers Guide for Operational Data Platforms , intelligent applications powered by artificial intelligence have impacted the requirements for operational data platforms. These applications, infused with contextually relevant recommendations, predictions and forecasting, are driven by machine learning and generative AI. Traditionally, operational data platforms support applications used to run the business.

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10 GitHub Repositories for Advanced Machine Learning Projects

KDnuggets

Where can you find projects dealing with advanced ML topics? GitHub is a perfect source with its many repositories. I’ve selected ten to talk about in this article.

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How to Use Generative AI in Marketing?

Analytics Vidhya

Introduction The marketing landscape has undergone a massive transformation with the rise of artificial intelligence (AI). Among the AI-driven innovations, generative AI (GenAI) is particularly revolutionizing how marketing teams create content, optimize activities, and deliver campaigns. From personalizing customer experiences to automating content creation, GenAI is capable of enhancing the productivity of the marketing team […] The post How to Use Generative AI in Marketing?

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Should I Stay or Go? Migrating to AI-Enabled Applications

David Menninger's Analyst Perspectives

Artificial intelligence-enabled business applications have advanced considerably over the past year as software providers have added a steady stream of capabilities. This includes customer facing, financial, supply chain and workforce software. ISG Research asserts that by 2027, almost all providers of business applications will use some form of generative AI to enhance capabilities and functionality to remain competitive.

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AI makes edge computing more relevant to CIOs

CIO Business Intelligence

Analysts predict the incoming phase of enterprise AI will herald agentic systems that require minimal human intervention, with 75% of CIOs increasing their AI budgets during this year alone, according to a recent report from Gartner. As gen AI becomes embedded into more devices, endowing it with autonomous decision-making will depend on real-time data and avoiding excessive cloud costs.

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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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Migrate from Amazon Kinesis Data Analytics for SQL to Amazon Managed Service for Apache Flink and Amazon Managed Service for Apache Flink Studio

AWS Big Data

Amazon Kinesis Data Analytics for SQL is a data stream processing engine that helps you run your own SQL code against streaming sources to perform time series analytics, feed real-time dashboards, and create real-time metrics. AWS has made the decision to discontinue Kinesis Data Analytics for SQL, effective January 27, 2026. In this post, we explain why we plan to end support for Kinesis Data Analytics for SQL, alternative AWS offerings, and how to migrate your SQL queries and workloads.

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How to Build an AI Chatbot Without Coding?

Analytics Vidhya

Introduction Chatbots have become an essential tool for most organisations. They provide excellent customer support and enhance user engagement. Are you interested in building a chatbot for your business but aren’t a developer? No problem! Thanks to rapid advancements in no-code platforms, building an AI agent chatbot without coding is now possible for anyone.

Analytics 236
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A Data Scientist GenAI Survival Guide

KDnuggets

This guide emphasizes the growing significance of GenAI but also highlights the crucial role that data scientists play in harnessing this technology to solve real-world problems.

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The gap between AI investment and AI adoption

CIO Business Intelligence

AI continues to shape cloud strategies, but AI implementation is going slower than most predicted. This is frustrating for technology providers who have made big bets on AI. What’s going on? A recent survey conducted by Censuswide on behalf of Red Hat polled 609 IT managers across the United Kingdom and other major markets. More than 80% of IT managers reported an urgent AI skills shortage, mainly in areas such as generative AI , large language models (LLMs), and data science.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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Microsoft Fabric Project Advice: Getting into the Thick of It

Paul Turley

Advice and lessons learned from working with consulting clients for nearly one year since Fabric was released. How to approach architecting solutions, choosing from among Fabric assets and tools, and getting your organization ready for Fabric adoption, developing, managing and deploying successful Fabric solutions.

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17 Prompting Techniques to Supercharge Your LLMs

Analytics Vidhya

Introduction Large Language Models , like GPT-4, have transformed the way we approach tasks that require language understanding, generation, and interaction. From drafting creative content to solving complex problems, the potential of LLMs seems boundless. However, the true power of these models is not just in their architecture but in how effectively we communicate with […] The post 17 Prompting Techniques to Supercharge Your LLMs appeared first on Analytics Vidhya.

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7 Free Data Science Platform for Beginners

KDnuggets

Explore free platforms for learning, building portfolios, accessing code editors, engaging with communities, and hosting projects.

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AI-native software engineering may be closer than developers think

CIO Business Intelligence

Developers unimpressed by the early returns of generative AI for coding take note: Software development is headed toward a new era, when most code will be written by AI agents and reviewed by experienced developers, Gartner predicts. Organizations and vendors are already rolling out AI coding agents that enable developers to fully automate or offload many tasks, with more pilot programs and proofs-of-concept likely to be launched in 2025, says Philip Walsh, senior principal analyst in Gartner’s

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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Elevate your search and analytics skills with the new Amazon OpenSearch Service YouTube channel

AWS Big Data

Attention all developers, architects, and IT professionals! We’re thrilled to announce the launch of the official Amazon OpenSearch Service YouTube channel —a comprehensive resource for anyone looking to master Amazon OpenSearch Service. Whether you’re just getting started with searches , vectors, analytics, or you’re looking to optimize large-scale implementations, our channel can be your go-to resource to help you unlock the full potential of OpenSearch Service.

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What is Agentic AI Reflection Pattern?

Analytics Vidhya

Introduction Today, we will discuss the first pattern in the series of agentic AI design patterns: The Reflection Pattern. The Reflection Pattern is a powerful approach in AI, particularly for large language models (LLMs), where an iterative process of generation and self-assessment improves the output quality. We can picture it as a course developer who […] The post What is Agentic AI Reflection Pattern?

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Practical Solutions for AI workloads in the Enterprise

KDnuggets

This is a comprehensive resource for developers at all levels, whether they are just starting in AI or are looking to refine their expertise further.

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6 enterprise DevOps mistakes to avoid

CIO Business Intelligence

It may surprise you, but DevOps has been around for nearly two decades. Driven by the development community’s desire for more capabilities and controls when deploying applications, DevOps gained momentum in 2011 in the enterprise with a positive outlook from Gartner and in 2015 when the Scaled Agile Framework (SAFe) incorporated DevOps. Unprecedented growth in AWS during this period also compelled CIOs to learn more about how startups were innovating and operating efficiently on the cloud.

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What Is Entity Resolution? How It Works & Why It Matters

Entity Resolution Sometimes referred to as data matching or fuzzy matching, entity resolution, is critical for data quality, analytics, graph visualization and AI. Learn what entity resolution is, why it matters, how it works and its benefits. Advanced entity resolution using AI is crucial because it efficiently and easily solves many of today’s data quality and analytics problems.

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A customer’s journey with Amazon OpenSearch Ingestion pipelines

AWS Big Data

This is a guest post co-written with Mike Mosher, Sr. Principal Cloud Platform Network Architect at a multi-national financial credit reporting company. I work for a multi-national financial credit reporting company that offers credit risk, fraud, targeted marketing, and automated decisioning solutions. We are an AWS early adopter and have embraced the cloud to drive digital transformation efforts.

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Understanding Python pop() Method

Analytics Vidhya

Introduction Ever wanted to remove an item from a list but not just any item, specifically the one at a certain index? Enter Python pop() method. This built-in function helps you achieve exactly that. It removes an element from a list based on its index and, most importantly, returns the removed element, giving you control […] The post Understanding Python pop() Method appeared first on Analytics Vidhya.

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The Key to LLMs: A Mathematical Understanding of Word Embeddings

KDnuggets

Word embeddings is a numerical representation of text, allowing a computer to process words efficiently by converting words into numerical vectors that can be processed with machine learning algorithm.

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Choosing the best AI models for your business

CIO Business Intelligence

From digital assistants to code generation, many small to medium businesses (SMBs) harbor lofty ambitions for generative AI (GenAI). The next step, however, is just as significant: whether to build their AI initiatives from scratch or simply secure a quick win with an existing AI tool. For a resource-strapped business, this decision comes with a host of considerations, including AI readiness, existing infrastructure, and the amount of value derived, versus the effort required to realize their AI

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The AI Superhero Approach to Product Management

Speaker: Conrado Morlan

In this engaging and witty talk, industry expert Conrado Morlan will explore how artificial intelligence can transform the daily tasks of product managers into streamlined, efficient processes. Using the lens of a superhero narrative, he’ll uncover how AI can be the ultimate sidekick, aiding in data management and reporting, enhancing productivity, and boosting innovation.

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Get started with Amazon DynamoDB zero-ETL integration with Amazon Redshift

AWS Big Data

We’re excited to announce the general availability (GA) of Amazon DynamoDB zero-ETL integration with Amazon Redshift , which enables you to run high-performance analytics on your DynamoDB data in Amazon Redshift with little to no impact on production workloads running on DynamoDB. As data is written into a DynamoDB table, it’s seamlessly made available in Amazon Redshift , eliminating the need to build and maintain complex data pipelines.

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Automated Image Generation: Transforming Your Blog Creation Process

Analytics Vidhya

Introduction Creating visually engaging content can be a time-consuming task for bloggers and creators. After crafting a compelling article, finding the right images is often a separate challenge. But what if Blog Creation with AI could do it all for you? Imagine a seamless process where, alongside your writing, AI generates original, high-quality images tailored […] The post Automated Image Generation: Transforming Your Blog Creation Process appeared first on Analytics Vidhya.

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How to Create Custom Educational Podcasts with NotebookLM

KDnuggets

Creating custom educational podcasts with NotebookLM is straightforward. Simply upload your content, customize the audio output to highlight key topics, and export your final podcast for sharing with your audience.

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7 signs you may not be a transformational CIO

CIO Business Intelligence

These days, it’s a true badge of honor to be considered a transformational CIO. Focused on digitization and innovation and closely aligned with lines of business, some 40% of IT leaders surveyed in CIO.com’s State of the CIO Study 2024 characterize themselves as transformational, while a quarter (23%) consider themselves functional: still optimizing, modernizing, and securing existing technology infrastructure.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.