August, 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 101
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Data Analytics Boosts ROI of Investment Trusts

Smart Data Collective

Data analytics has had a tremendous impact on the financial sector in recent years. Therefore, it should be no surprise that the market for financial analytics is projected to be worth nearly $19 billion by 2030. There are a ton of great benefits of using data analytics in finance. One of the biggest opportunities to leverage financial analytics technology is in the field of investing.

ROI 96
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The 4 most overhyped technologies in IT

CIO Business Intelligence

Most CIOs and IT staffers remain, at heart, technologists, with many proclaiming their interest in shiny new tech toys. They may publicly preach “No technology for technology’s sake,” but they still frequently share their fascination with the latest tech gadgets. They’re not the only ones enthralled by tech. With technology and tech news now both pervasive and mainstream, many outside of IT — from veteran board members to college-age interns — are equally enthusiastic about bleeding-edge technol

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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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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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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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What is NLP? Natural language processing explained

CIO Business Intelligence

Natural language processing definition Natural language processing (NLP) is the branch of artificial intelligence (AI) that deals with training computers to understand, process, and generate language. Search engines, machine translation services, and voice assistants are all powered by the technology. While the term originally referred to a system’s ability to read, it’s since become a colloquialism for all computational linguistics.

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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.

Analytics 328
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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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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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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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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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How B2B Marketing, Sales, And Product Can Align To Drive Growth In 2024

Srividya Sridharan

Planning season is the perfect time for B2B revenue engine leaders to address common challenges, share functional insights and competencies, and build a customer-obsessed growth strategy.

B2B 98
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What is digital transformation? A necessary disruption

CIO Business Intelligence

Once a vanguard business strategy, digital transformation has become a perennial objective for business survival. Most CEOs (72%) continue to prioritize digital investments, according to the 2022 CEO Outlook report from KPMG, in part due to concerns about emerging and disruptive technology, a top three risk to organizational growth. Executives know that if their businesses don’t continually evolve through digital transformation they risk being overtaken by competitors or shut down by startups th

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The Role of Data Products in Maximizing ROI from AI Initiatives

Stuck with stalled AI projects? Data silos and fragmented processes are likely culprits. This IDC report unveils Data Products as the secret weapon. By treating data as a product, organizations can overcome these challenges and unlock the true potential of AI. Learn how a unified data control plane empowers Data Products to deliver trusted, high-quality data for faster insights and improved decision-making.

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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 314
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AI helping Oil And Gas Sector navigate sustainability

Jen Stirrup

The oil and gas industry is championing AI as another leader at the table, advancing profitability, sustainability and environmental responsibility as the industry looks to future solutions to meet energy needs. 92% of oil & gas companies are diving into AI, bridging efficiency gaps with transformative technology, according to a recent Forbes article , and now is the time to participate in shaping the energy industry’s future.

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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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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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Embedded Analytics Insights for 2024

Organizations look to embedded analytics to provide greater self-service for users, introduce AI capabilities, offer better insight into data, and provide customizable dashboards that present data in a visually pleasing, easy-to-access format. To better understand the factors behind the decision to build or buy analytics, insightsoftware partnered with Hanover Research to survey IT, software development, and analytics professionals on why they make the embedded analytics choices they do.

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How Ontraport reduced data processing cost by 80% with AWS Glue

AWS Big Data

This post is written in collaboration with Elijah Ball from Ontraport. Customers are implementing data and analytics workloads in the AWS Cloud to optimize cost. When implementing data processing workloads in AWS, you have the option to use technologies like Amazon EMR or serverless technologies like AWS Glue. Both options minimize the undifferentiated heavy lifting activities like managing servers, performing upgrades, and deploying security patches and allow you to focus on what is important:

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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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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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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.

Risk 88
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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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Top Posts August 14-20: How to Use ChatGPT to Convert Text into a PowerPoint Presentation

KDnuggets

How to Use ChatGPT to Convert Text into a PowerPoint Presentation • 5 Ways You Can Use ChatGPT’s Code Interpreter For Data Science • Forget ChatGPT, This New AI Assistant Is Leagues Ahead and Will Change the Way You Work Forever • Python Vector Databases and Vector Indexes: Architecting LLM Apps • 3 Ways to Access GPT-4 for Free

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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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Monitor Apache Spark applications on Amazon EMR with Amazon Cloudwatch

AWS Big Data

To improve a Spark application’s efficiency, it’s essential to monitor its performance and behavior. In this post, we demonstrate how to publish detailed Spark metrics from Amazon EMR to Amazon CloudWatch. This will give you the ability to identify bottlenecks while optimizing resource utilization. CloudWatch provides a robust, scalable, and cost-effective monitoring solution for AWS resources and applications, with powerful customization options and seamless integration with other AWS services.

Metrics 94
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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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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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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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7 Tips for Using Data Analytics to Inform Revenue Operations

Smart Data Collective

By analyzing the revenue streams of a particular business, you can gain deep insights about the processes that the company uses to make money. In some cases, this can tell you where funds and time are being wasted, while others might learn that they’re missing out on opportunities to increase efficiency, or even uncover some segment of the market they should be emphasizing further with their sales efforts.

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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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Threads Dev Interview 3: @bryandevideas

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’d suggest two things […] 1. Play the numbers game […] 2. Network meaningfully” — @bryandevideas Welcome to the series and let’s get started.

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The Key to Sustainable Energy Optimization: A Data-Driven Approach for Manufacturing

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. ♻️ Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets. 📊 Join us for a practical webinar hosted by Kevin Kai Wong of Emergent Ene