Sat.Aug 26, 2023 - Fri.Sep 01, 2023

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Your AI journey: Destined for the ditch?

CIO Business Intelligence

Every organization is on an AI journey. Some don’t know they are. Others don’t want to leave home. Very few have a map or a mutually agreed upon destination. And only a tiny fraction have the appropriate shoes. That’s the current state of AI at Global 2000 enterprises, whose behavior set thus far in the AI space appears to be designed more to avoid embarrassment than to maximize value creation.

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The portfolio approach to digital transformation: 4 keys to success

CIO Business Intelligence

Corporate projects are classically evaluated on standard matrices such as return on investment (ROI), break-even period, and capital invested. But as organizations look to quickly leverage the power of emerging digital technologies for business growth, such an approach is falling short on expectations. “Digital initiatives are innovative and although it’s fair to have an anticipation of ROI, having an iron-clad approach to specific monetary returns from each IT project won’t let some of the big

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2024 Data Management Crystal Ball: Top 4 Emerging Trends

KDnuggets

These are my predictions based on my personal experiences, recent research and reports from leading platforms.

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Basic Tenets of Prompt Engineering in Generative AI

Analytics Vidhya

Introduction In this article, we shall discuss ChatGPT Prompt Engineering in Generative AI. ChatGPT has been one of the most discussed topics among tech and not-so-techies since November 2022. It is a type of intelligent conversation that marks the dawn of an era of intelligent conversation. One can ask almost anything ranging from science, arts, […] The post Basic Tenets of Prompt Engineering in Generative AI appeared first on Analytics Vidhya.

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The Definitive Entity Resolution Buyer’s Guide

Are you thinking of adding enhanced data matching and relationship detection to your product or service? Do you need to know more about what to look for when assessing your options? Our Entity Resolution Buyer’s Guide gives you step-by-step details about everything you should consider when evaluating entity resolution technologies. We discuss use cases, technology, and deployment options, top ten evaluation criteria and more.

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Combining Scenario Evaluation with BI Delivers Better Decisions

David Menninger's Analyst Perspectives

If I had a magic wand, I would want to add scenario evaluation to all business intelligence tools on the market. I have previously written about the need to make intelligent decisions with decision intelligence. The data and analytics markets have evolved so that organizations have far greater capabilities to utilize data in decision-making processes.

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Intel embraces SDN to modernize its chip factories

CIO Business Intelligence

Until recently, software-defined networking (SDN) technologies have been limited to use in data centers — not manufacturing floors. But as part of Intel’s expansive plans to upgrade and build a new generation of chip factories in line with its Integrated Device Manufacturing (IDM) 2.0 blueprint, unveiled in 2021, the Santa Clara, Calif.-based semiconductor giant opted to implement SDN within its chip-making facilities for the scalability, availability, and security benefits it delivers.

IT 122

More Trending

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Building A Model From Scratch to Generate Text From Prompts

Analytics Vidhya

Introduction In the swiftly evolving Generative AI landscape, a new era has arrived. This transformative shift brings unprecedented advancements to AI applications, with Chatbots at the forefront. These AI-powered conversational agents simulate human-like interactions, reshaping communication for businesses and individuals. The term “Gen AI Era” emphasizes advanced AI’s role in shaping the future. “Unlocked potential” […] The post Building A Model From Scratch

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Introducing Amazon MSK as a source for Amazon OpenSearch Ingestion

AWS Big Data

Ingesting a high volume of streaming data has been a defining characteristic of operational analytics workloads with Amazon OpenSearch Service. Many of these workloads involve either self-managed Apache Kafka or Amazon Managed Streaming for Apache Kafka (Amazon MSK) to satisfy their data streaming needs. Consuming data from Amazon MSK and writing to OpenSearch Service has been a challenge for customers.

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CIOs are worried about the informal rise of generative AI in the enterprise

CIO Business Intelligence

In my previous column in May, when I wrote about generative AI uses and the cybersecurity risks they could pose , CISOs noted that their organizations hadn’t deployed many (if any) generative AI-based solutions at scale. What a difference a few months makes. Now, generative AI use has infiltrated the enterprise with tools and platforms like OpenAI’s ChatGPT / DALL-E, Anthropic’s Claude.ai, Stable Diffusion, and others in ways both expected and unexpected.

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The Burtch Works 2023 Data Science & AI Professionals Salary Report is Here!

KDnuggets

The Burtch Works 2023 Data Science & AI Professionals salary report is here, and includes insightful data such as hiring and marketplace trends, compensation changes over time, and salary data. Get your copy here.

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How Intent Data Helps Marketers Convert A-List Accounts

One of the biggest challenges for any B2B marketer is understanding your prospects’ next move — who is most likely to buy and when. Without these insights, marketing campaigns can feel more like guesswork, with high investment and little return. We’re here to tell you there’s a better way. By tracking buyers’ digital footprints and online activity, such as website visits, product reviews, and spikes in content consumption, you can engage prospects with a message that really resonates.

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Exploring Advanced Generative AI | Conditional VAEs

Analytics Vidhya

Introduction Welcome to this article, where we’ll explore the exciting world of Generative AI. We will mainly focus on Conditional Variational Autoencoders or CVAEs, these are like the next level of AI artistry, merging the strengths of Variational Autoencoders (VAEs) with the ability to follow specific instructions, giving us fine-tuned control over image creation.

Analytics 299
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Deploy Amazon OpenSearch Serverless with Terraform

AWS Big Data

Amazon OpenSearch Serverless provides the search and analytical functionality of OpenSearch without the manual overhead of configuring, managing, and scaling OpenSearch clusters. It automatically scales the resources based on your workload, and you only pay for the resources consumed. Managing OpenSearch Serverless is simple, but with infrastructure as code (IaC) software like Terraform , you can simplify your resource management even more.

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How a unified approach to support and services can improve IT outcomes

CIO Business Intelligence

Enterprise applications are changing at a more rapid pace than ever. The result is that many enterprises have hybrid-driven, multivendor IT environments. This creates a challenge for the IT organization — how to effectively operate, manage, and support an increasingly complex technology portfolio. CIOs need a technology support model that is agile and responsive, yet simple, scalable, and strategic.

IT 105
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Build Your Own PandasAI with LlamaIndex

KDnuggets

Learn how to leverage LlamaIndex and GPT-3.5-Turbo to easily add natural language capabilities to Pandas for intuitive data analysis and conversation.

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The Essential Guide to Analytic Applications

Embedding dashboards, reports and analytics in your application presents unique opportunities and poses unique challenges. We interviewed 16 experts across business intelligence, UI/UX, security and more to find out what it takes to build an application with analytics at its core. No matter where you are in your analytics journey, you will learn about emerging trends and gather best practices from product experts.

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Building and Training Large Language Models for Code: A Deep Dive into StarCoder

Analytics Vidhya

Introduction Hey there, fellow tech enthusiasts! Today, I’m excited to take you on a journey through the fascinating world of building and training large language models (LLMs) for code. We will be diving deep into the intricacies of a remarkable model known as StarCoder, which is part of the BigCode project—an open initiative at the […] The post Building and Training Large Language Models for Code: A Deep Dive into StarCoder appeared first on Analytics Vidhya.

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Types of cyberthreats

IBM Big Data Hub

In the simplest sense, a cybersecurity threat, or cyberthreat, is an indication that a hacker or malicious actor is attempting to gain unauthorized access to a network for the purpose of launching a cyberattack. Cyberthreats can range from the obvious, such as an email from a foreign potentate offering a small fortune if you’ll just provide your bank account number, to the deviously stealthy, such as a line of malicious code that sneaks past cyberdefenses and lives on the network for month

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SAP poaches Microsoft exec as its new global head of AI

CIO Business Intelligence

SAP has appointed a new global head of artificial intelligence, Walter Sun, after the previous post-holder quit to found her own AI startup. For the past 18 years, Sun worked at Microsoft, most recently as VP of AI for its business and applications platform group. Sun has a PhD from MIT and continued to publish academic research papers during his time at Microsoft, in addition to teaching at Seattle and Washington universities.

IT 99
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How to Digest 15 Billion Logs Per Day and Keep Big Queries Within 1 Second

KDnuggets

This article describes a large-scale data warehousing use case to provide reference for data engineers who are looking for log analytic solutions. It introduces the log processing architecture and real-case practice in data ingestion, storage, and queries.

Analytics 112
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Why Modern Data Challenges Require a New Approach to Governance

A healthy data-driven culture minimizes knowledge debt while maximizing analytics productivity. Agile Data Governance is the process of creating and improving data assets by iteratively capturing knowledge as data producers and consumers work together so that everyone can benefit. It adapts the deeply proven best practices of Agile and Open software development to data and analytics.

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Generative AI’s Shift From GPT-3.5 to GPT-4 Journey

Analytics Vidhya

Introduction The transition from GPT-3.5 to GPT-4 in the generative artificial intelligence (AI) realm marks a transformative leap in language generation and comprehension. GPT-4, short for “Generative Pre-trained Transformer 4,” is the culmination of iterative advancements, harnessing improved architecture and training methods. While GPT-3.5 showcased impressive prowess in comprehending context and producing coherent text, GPT-4 […] The post Generative AI’s Shift From GP

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Advances in AI Are Driving Major Changes in Cybersecurity

Smart Data Collective

Artificial intelligence technology is radically changing the future of cybersecurity. Last year, global organizations spent over $15 billion on AI to bolster their cyber defenses. Smart companies realize that they can no longer overlook the importance of using AI to thwart hackers. After all, hackers themselves are turning to AI to commit their crimes.

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Laminar strengthens cloud data security with Microsoft OneDrive and Google Drive integration

Laminar Security

New cloud file share integrations mark a pivotal moment for holistic data security posture management in the cloud In today’s digital era, cloud file-sharing platforms have become the backbone of modern businesses, enabling swift, seamless, and efficient data collaboration. However, with such accessibility comes potential risks: data breaches, unauthorized access, and compliance violations.

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Who Will Make Money from the Generative AI Gold Rush?

KDnuggets

Buckle up for the Generative AI gold rush! Will BigTech rule with its picks and shovels? Which startups will strike it rich? Will “copilot for X” be the business strategy to hit pay dirt? How can startups dig moats to keep out other prospectors? And will the US once again have the richest gold seams?

Strategy 109
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Value-Driven AI: Applying Lessons Learned from Predictive AI to Generative

Speaker: Data Robot

Enterprise AI maturity has evolved dramatically over the past 5 years. Most enterprises have now experienced their first successes with predictive AI, but the pace and scale of impact have too often been underwhelming. Now generative AI has emerged and captivated the minds and imaginations of leaders and innovators everywhere. Join our DataRobot experts to reflect on lessons learned from helping hundreds of enterprises grow their AI maturity over the past 5 years.

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Google Watermarks AI-Generated Images to Shield Against Deepfakes

Analytics Vidhya

In a significant stride towards combating the surge of misleading content, Google has introduced an innovative solution that brings a new layer of defense against the onslaught of deepfakes. This pioneering endeavor employs invisible watermarks, like secret shields, on images created using AI technology. The watermarking tool, named “SynthID,” is a product of the innovative […] The post Google Watermarks AI-Generated Images to Shield Against Deepfakes appeared first on Analytic

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IFS acquires Falkonry to offer AI-based enterprise asset management services

CIO Business Intelligence

Enterprise resource planning (ERP) software vendor IFS has agreed to acquire Falkonry, the developer of an AI-based time-series data analytics tool, to boost its enterprise asset management (EAM) services portfolio. IFS has an eye on the growing number of connected machines in factories, and will add Falkonry’s self-learning Time Series AI Suite, which can help enterprises manage and maintain manufacturing equipment, to its existing enterprise simulation and AI-based scheduling and optimization

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The Enduring Significance of Data Modeling in the Modern Data-Driven Enterprise

erwin

Q: Is data modeling cool again? A: It always was and is getting cooler!! In today’s fast-paced digital landscape, data reigns supreme. The data-driven enterprise relies on accurate, accessible, and actionable information to make strategic decisions and drive innovation. Amidst the evolving technological landscape, one constant remains despite the ongoing attacks from nay-sayers: the importance of data modeling as a foundational step in the delivery of data to these forward-thinking organiz

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The Ultimate Guide to Mastering Seasonality and Boosting Business Results

KDnuggets

This post discusses the importance of media mix modeling and how it can be used to maximize the business impact of advertising. It also discusses the impact of seasonality on media advertising and how media mix modeling can be used to minimize the impact of seasonality on business outcomes.

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Solving the Biggest Tech Challenges in RevOps

In this eBook, we’ll run through real-world examples that show how RevOps teams can benefit from modern solutions for the access, management, and activation of their GTM data. Whether you need to improve lead response times, boost adoption of core tools, improve lead qualification, or target and automate your GTM motions, you’ll find examples of how revenue teams are solving some of the toughest problems in modern business.

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Google Search in India Is Now AI-Powered | Learn How to Use It

Analytics Vidhya

Google has unleashed a game-changing innovation set to redefine how Indians and Japanese explore the vast realm of information. Building upon the immense capabilities of artificial intelligence (AI), Google’s newly introduced AI-powered search tool, known as the Search Generative Experience (SGE), is primed to elevate the search experience to unparalleled heights.

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Boeing CIO Susan Doniz leads with curiosity and empathy

CIO Business Intelligence

Susan Doniz always knew she wanted to be in a “very people-oriented” career. Initially drawn to medicine, Doniz found that in IT, starting with a 17-year stint working her way up the technology ranks at Procter & Gamble before becoming group CIO of Qantas Airways and later joining Boeing, where she currently serves as CIO, data analytics officer, and senior vice president of IT and data analytics.

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Threads Dev Interview 9: @hi.im.vijay

Data Science 101

Threads Dev Interviews I am finding developers on Threads and interviewing them, right on Threads. You are welcome to follow along and let me know on Threads if you would like to be interviewed. “It’s [Web Development] constantly changing, which can be exhausting at times but also fun to keep up with the latest innovations.” — Vijay Pemmaraju (@hi.im.vijay) on Threads We can start out by talking about web development.

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5 Skills All Marketing Analytics and Data Science Pros Need Today

KDnuggets

Join us at the MADS conference in Washington, D.C., from Sept. 26 to 28, 2023. Learn more here and register with code KDN100 for $100 of your conference pass.

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7+ Graphics Libraries to Enhance Your Embedded Analytics

When your customers come to your app, what do they see: clunky, outdated dashboards or a sleek, modern interface? If your embedded analytics are looking stale, leverage these free graphics libraries to take your embedded analytics offerings above and beyond. This e-book details a number of graphics libraries plus a few bonus tools to modernize your embedded dashboards.