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

Modeling 270
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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 133
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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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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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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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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?

Marketing 271
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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

Software 141

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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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19 Free Data Science Courses by Harvard and IBM

Analytics Vidhya

Introduction Data science is a rapidly growing tech field that’s transforming business decision-making. To break into this field, you need the right skills. Fortunately, top institutions like Harvard and IBM offer free online courses. These courses cover everything from basic programming to advanced machine learning. In this article, we’ve listed some of the best free […] The post 19 Free Data Science Courses by Harvard and IBM appeared first on Analytics Vidhya.

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CIOs under pressure to deliver AI outcomes faster

CIO Business Intelligence

CIOs are under increasing pressure to generate business value from generative AI, but Salesforce CIO Juan Perez is among those IT leaders who believe such impatience from the C-suite could doom many projects. “The explosion of AI has really put CIOs in the spotlight and placed the CIOs in the hot seat like never before,” says Perez, fresh off two industry events in which many of his CIO colleagues say they feel they are between a rock and a hard place.

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Roadmap for AI Engineers

KDnuggets

Learn about 10 easy steps to becoming an AI engineer in 2024.

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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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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 266
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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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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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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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The Role of Data in Shaping the Future of Business in Mayfair

Smart Data Collective

Mayfair, one of the oldest districts in London, has started showing the benefits of investing in big data for business.

Big Data 112
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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?

Modeling 244
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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

Modeling 131
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What Can AI Do for Data Science?

KDnuggets

Check out these 10 use cases for AI to shine.

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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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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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Zero-shot Object Detection Using Grounding DINO Base

Analytics Vidhya

Detecting objects in an image requires some accuracy, especially when the image does not only take a box-like shape for easy detection. However, numerous models have provided solutions with state-of-the-art performance in object detection. Zero-shot object detection with the Grounding DINO base is another efficient model that allows you to scan through out-of-box images.

Modeling 207
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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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How to Learn Python the Lazy Way

KDnuggets

The title says everything. It is a guide for lazy people who want to learn Python and earn dollars.

IT 132
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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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Enhance Amazon EMR scaling capabilities with Application Master Placement

AWS Big Data

In today’s data-driven world, processing large datasets efficiently is crucial for businesses to gain insights and maintain a competitive edge. Amazon EMR is a managed big data service designed to handle these large-scale data processing needs across the cloud. It allows running applications built using open source frameworks on Amazon Elastic Compute Cloud (Amazon EC2), Amazon Elastic Kubernetes Service (Amazon EKS), or AWS Outposts , or completely serverless.

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A Comprehensive Guide to RAG-to-SQL on Google Cloud

Analytics Vidhya

Text-to-SQL technologies frequently struggle to capture the complete context and meaning of a user’s request, resulting in queries that do not exactly match the intended. While developers work hard to enhance these systems, it is worth questioning if there is a better method. Enter RAG-to-SQL—a new approach that combines natural language understanding with powerful data […] The post A Comprehensive Guide to RAG-to-SQL on Google Cloud appeared first on Analytics Vidhya.

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El desarrollo de ‘software’ nativo de IA podría estar más cerca de lo que parece

CIO Business Intelligence

Los desarrolladores no impresionados por los primeros resultados de la inteligencia artificial (IA) generativa para la codificación toman nota: el desarrollo de software se dirige hacia una nueva era, en la que la mayor parte del código será escrito por agentes de IA y revisado por desarrolladores experimentados , predice Gartner. Organizaciones y proveedores ya están desplegando agentes de codificación de IA que permiten a los desarrolladores automatizar completamente o descargar muchas tareas,

Software 115
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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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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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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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12 Ways to Use Generative AI for SEO

Analytics Vidhya

The rise of generative AI (GenAI) is transforming the way digital marketers approach search engine optimization (SEO). GenAI-driven tools are helping businesses improve search rankings and drive organic traffic more efficiently than ever. According to a survey by seoClarity, 86% of companies have already integrated AI into their SEO strategy, and 83% of them have […] The post 12 Ways to Use Generative AI for SEO appeared first on Analytics Vidhya.

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UL’s leap into the genAI evaluation business raises key questions

CIO Business Intelligence

UL Solutions , part of the UL enterprise that grew out of Underwriters Laboratories, on Monday jumped into the crowded genAI third-party evaluation service market, joining Stanford University and Microsoft , among many others, but with a more customized approach. The UL team will be asking questions as well as analyzing code. Some analysts and others in the AI space have questioned how reliable and precise such an effort would be.

Modeling 120
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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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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.