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.

Insurance 104
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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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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

Modeling 339
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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

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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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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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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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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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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

IoT 114
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KDnuggets News, August 30: 7 Projects Built with Generative AI • Beyond Numpy and Pandas: Lesser-Known Python Libraries

KDnuggets

7 Projects Built with Generative AI • Beyond Numpy and Pandas: Unlocking the Potential of Lesser-Known Python Libraries • 5 Ways You Can Use ChatGPT’s Code Interpreter For Data Science • GPT-4: 8 Models in One; The Secret is Out

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Leading the Development of Profitable and Sustainable Products

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

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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

Analytics 313
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Threads Dev Interview 7: @tomjohnson3

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. “My philosophy as a CTO is that my most important job is to keep the team focused and busy.” — Tom Johnson (@tomjohnson3) on Threads What is the back story around the creation of @trymultiplayer and how is it going?

Testing 116
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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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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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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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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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Threads Dev Interview 10: @alais29.dev

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. “one thing that I specially love is the tech community” — Alfonsina Lizardo (@alais29.dev) on Threads Today we have @alais29.dev. You list gamer in your bio @alais29.dev, how has being a gamer impacted or influenced your software development career?

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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.

Risk 108
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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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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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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 306
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Threads Dev Interview 8: @pau.codes

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. “I’m writing a book about Typescript. It’s called TypeScript Gamified, and its goal is to help people learn TS the fun way.” — Paula Santamaría (@pau.codes) on Threads I believe you, @pau.codes, became a developer right out of high school.

Software 111
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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 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 108
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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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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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Thread Dev Interview 6: @chris.mrbananas.greening

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. “Definitely – now it [programmer] seems like an obvious career choice. Back then it really wasn’t that popular. Though when the dot com boom came everything changed!

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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 105
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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 107
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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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Top 12 AI Music Generators in 2023

Analytics Vidhya

AI Music Generation is the process of using artificial intelligence techniques to generate music. AI algorithms can autonomously generate new track pieces by examining patterns, structures, and styles from existing music. This technology can potentially revolutionize how music is composed, produced, and enjoyed. AI music technology is a rapidly advancing field with numerous structures and […] The post Top 12 AI Music Generators in 2023 appeared first on Analytics Vidhya.

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Threads Dev Interview 5: @arkmuntasser

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. “I have worked at every level of the stack, but my heart is and will forever be in frontend. I’m a CSS guy.” — @arkmuntasser Threads Dev Interview #5 I am finding developers on Threads and interviewing them, right here on Threads.

IT 111
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How to make your developer organization more efficient

CIO Business Intelligence

Developers are hired for their coding skills, but often spend too much time on information-finding, setup tasks, and manual processes. To combat wasted time and effort, Discover® Financial Services championed a few initiatives to help developers get back to what they do best: developing. The result? More than 100,000 hours of developer toil have been automated or eliminated.

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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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How to Leverage AI for Actionable Insights in BI, Data, and Analytics

In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities? Imagine having an AI tool that answers your user’s questions with a deep understanding of the context in their business and applications, nuances of their industry, and unique challenges they face.