June, 2023

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You Can’t Regulate What You Don’t Understand

O'Reilly on Data

The world changed on November 30, 2022 as surely as it did on August 12, 1908 when the first Model T left the Ford assembly line. That was the date when OpenAI released ChatGPT, the day that AI emerged from research labs into an unsuspecting world. Within two months, ChatGPT had over a hundred million users—faster adoption than any technology in history.

Metrics 360
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Top 10 AI Influencers to Follow in 2023

Analytics Vidhya

Introduction In a world driven by cutting-edge technology and mind-boggling possibilities, keeping up with the ever-evolving realm of AI is both thrilling and essential. As we step into the promising year of 2023, it’s time to embark on an exhilarating journey through the minds of the most influential and visionary AI trailblazers. Buckle up and […] The post Top 10 AI Influencers to Follow in 2023 appeared first on Analytics Vidhya.

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DataKitchen in DBTA 100 2023: The Companies That Matter Most in Data

DataKitchen

The need to balance data safety with new data initiatives, deliver business value, and change company culture around data tops this year's list of data and analytics management challenges. To help bring new resources and innovation to light, each year, Database Trends and Applications magazine presents the DBTA 100, a list of forward-thinking companies seeking to expand what's possible with data for their customers.

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Discover The Power Of Modern Performance Reports – See Examples & Best Practices 

datapine

Table of Contents 1) What Is A Performance Report? 2) The Importance of Performance Reports 3) Performance Report Examples 4) Performance Reporting Tips Performance reporting has been a traditional business practice for decades now. These analytical tools allow decision-makers to get a sense of their performance in a number of areas and extract valuable insights to inform their future strategies and boost growth.

Reporting 207
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Data Talks, CFOs Listen: Why Analytics Are Key To Better Spend Management

Speaker: Claire Grosjean, Global Finance & Operations Executive

Finance teams are drowning in data—but is it actually helping them spend smarter? Without the right approach, excess spending, inefficiencies, and missed opportunities continue to drain profitability. While analytics offers powerful insights, financial intelligence requires more than just numbers—it takes the right blend of automation, strategy, and human expertise.

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A Comprehensive Guide to Convolutional Neural Networks

KDnuggets

Artificial Intelligence has been witnessing monumental growth in bridging the gap between the capabilities of humans and machines. Researchers and enthusiasts alike, work on numerous aspects of the field to make amazing things happen. One of many such areas is the domain of Computer Vision.

More Trending

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The Alignment Problem Is Not New

O'Reilly on Data

“Mitigating the risk of extinction from A.I. should be a global priority alongside other societal-scale risks, such as pandemics and nuclear war,” according to a statement signed by more than 350 business and technical leaders, including the developers of today’s most important AI platforms. Among the possible risks leading to that outcome is what is known as “ the alignment problem.

Risk 333
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Crop Yield Prediction Using Machine Learning And Flask Deployment

Analytics Vidhya

Introduction Crop yield prediction is an essential predictive analytics technique in the agriculture industry. It is an agricultural practice that can help farmers and farming businesses predict crop yield in a particular season when to plant a crop, and when to harvest for better crop yield. Predictive analytics is a powerful tool that can help […] The post Crop Yield Prediction Using Machine Learning And Flask Deployment appeared first on Analytics Vidhya.

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13 essential skills for accelerating digital transformation

CIO Business Intelligence

Digital transformation is indeed a cornerstone of business strategy today, as 89% of enterprises see digital business as core to their growth, according to Gartner’s Board of Directors 2023 Survey. Equally telling is another statistic from that research: Just 35% of these enterprises have achieved their digital goals or are on track to do so. “This underlines the need for organizations to embrace change and adopt a more agile and forward-thinking approach to digital transformation skills in orde

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Migrate from Google BigQuery to Amazon Redshift using AWS Glue and Custom Auto Loader Framework

AWS Big Data

Amazon Redshift is a widely used, fully managed, petabyte-scale cloud data warehouse. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytic workloads. Customers are looking for tools that make it easier to migrate from other data warehouses, such as Google BigQuery, to Amazon Redshift to take advantage of the service price-performance, ease of use, security, and reliability.

Metadata 135
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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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10 ChatGPT Plugins for Data Science Cheat Sheet

KDnuggets

For an overview of what we believe to be the 10 of the best ChatGPT plugins for data science, check out our latest cheat sheet.

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DataKitchen DataOps TestGen ‘Mystery Box Full Of Data Errors’

DataKitchen

DataOps TestGen delivers simple, fast data quality test generation and execution. DataOps TestGen profiles your data and algorithmically generates dozens of data validations. Your Data Journey starts with verifying that you can trust your data and re-verifying it every time you refresh it in production.

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Risk Management for AI Chatbots

O'Reilly on Data

Does your company plan to release an AI chatbot, similar to OpenAI’s ChatGPT or Google’s Bard? Doing so means giving the general public a freeform text box for interacting with your AI model. That doesn’t sound so bad, right? Here’s the catch: for every one of your users who has read a “Here’s how ChatGPT and Midjourney can do half of my job” article, there may be at least one who has read one offering “Here’s how to get AI chatbots to do som

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Revamp Data Analysis: OpenAI, LangChain & LlamaIndex for Easy Extraction

Analytics Vidhya

Introduction OpenAI’s API, developed by OpenAI, provides access to some of the most advanced language models available today. By leveraging this API and using LangChain & LlamaIndex, developers can integrate the power of these models into their own applications, products, or services. With just a few lines of code, you can tap into the vast knowledge […] The post Revamp Data Analysis: OpenAI, LangChain & LlamaIndex for Easy Extraction appeared first on Analytics Vidhya.

Modeling 390
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Zero Trust Mandate: The Realities, Requirements and Roadmap

The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.

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10 hottest IT jobs for salary growth in 2023

CIO Business Intelligence

As companies vie for talented tech workers to meet skills gaps in their organizations, the demand for certain tech roles has increased. There’s a strong need for workers with expertise in helping companies make sense of data, launch cloud strategies, build applications, and improve the overall user experience. This demand has driven up salaries for IT roles, especially those around development, engineering, and support.

IT 140
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Choosing an open table format for your transactional data lake on AWS

AWS Big Data

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale. This data is then projected into analytics services such as data warehouses, search systems, stream processors, query editors, notebooks, and machine learning (ML) models through direct access, real-time, and batch workflows.

Data Lake 130
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AI: Large Language & Visual Models

KDnuggets

This article discusses the significance of large language and visual models in AI, their capabilities, potential synergies, challenges such as data bias, ethical considerations, and their impact on the market, highlighting their potential for advancing the field of artificial intelligence.

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3 Safety Nets Freelancers Need To Have

BA Learnings

Going freelance is exciting. You don’t have the restrictions of a regular 9 to 5 office job. You can choose your own hours. You can choose your own clients, and you can choose your own office space. There is a lot more freedom that comes with this type of work, but that freedom comes at a price. You won’t have the same safety nets as someone working at a regular office job.

Insurance 130
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Maximizing Profit and Productivity: The New Era of AI-Powered Accounting

Speaker: Yohan Lobo and Dennis Street

In the accounting world, staying ahead means embracing the tools that allow you to work smarter, not harder. Outdated processes and disconnected systems can hold your organization back, but the right technologies can help you streamline operations, boost productivity, and improve client delivery. Dive into the strategies and innovations transforming accounting practices.

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ChatGPT, Now with Plugins

O'Reilly on Data

A few months ago, I wrote about some experiments with prime numbers. I generated a 16-digit non-prime number by multiplying two 8-digit prime numbers, and asked ChatGPT (using GPT -3.5) whether the larger number was prime. It answered correctly that the number was non-prime, but when it told me the number’s prime factors, it was clearly wrong. It also generated a short program that implemented the widely used Miller-Rabin primality test.

Testing 318
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EU Takes a Stand with AI Rules

Analytics Vidhya

In a revolutionary move, the European Union (EU) has successfully passed The Artificial Intelligence Act, a draft law that seeks to regulate the use of artificial intelligence (AI). This significant development marks a crucial step in establishing guidelines for AI governance and may serve as a global model for policymakers. Let’s delve into the details […] The post EU Takes a Stand with AI Rules appeared first on Analytics Vidhya.

Modeling 390
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AWS launches no-code service AppFabric with generative AI assistance

CIO Business Intelligence

Amazon Web Services (AWS) on Tuesday unveiled a new no-code offering, dubbed AppFabric, designed to simplify SaaS integration for enterprises by increasing application observability and reducing operational costs associated with building point-to-point solutions. The fully managed AppFabric offering, which has been made generally available, is designed to help enterprises maintain SaaS application interoperability without having to develop connectors or workflows in-house while offering added se

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Why the Data Journey Manifesto?

DataKitchen

Why the Data Journey Manifesto? So why another manifesto in the world? Really? Why should I care? About seven years ago, we wrote the DataOps Manifesto. We wrote the first version because, after talking with hundreds of people at the 2016 Strata Hadoop World Conference, very few easily understood what we discussed at our booth and conference session.

Testing 130
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Signal-Based Selling: How to Leverage 4 Key Buying Signals

As prospects define their problem, search for solutions, and even change jobs, they are generating high-value signals that the best go-to-market teams can leverage to close more deals. This is where signal-based selling comes into play. ZoomInfo CEO Henry Schuck recently broke down specific ways to put four key buying signals into action with the experts from 30 Minutes to President’s Club.

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Programming Languages for Specific Data Roles

KDnuggets

What programming language do you need for a specific data role?

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Magnetic Locators In Construction & Infrastructure

BA Learnings

Accurate underground utility detection in construction and infrastructure projects is paramount to ensure efficient operations and mitigate potential risks. Magnetic locators have emerged as indispensable tools in these industries, offering a reliable and efficient solution for locating buried utilities and structures. Now, we will explore the importance of magnetic locators and their applications, highlighting the benefits they bring to construction and infrastructure projects.

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Cost monitoring for Amazon EMR on Amazon EKS

AWS Big Data

Amazon EMR is the industry-leading cloud big data solution, providing a collection of open-source frameworks such as Spark, Hive, Hudi, and Presto, fully managed and with per-second billing. Amazon EMR on Amazon EKS is a deployment option allowing you to deploy Amazon EMR on the same Amazon Elastic Kubernetes Service (Amazon EKS) clusters that is multi-tenant and used by other applications, improving resource utilization, reducing cost, and simplifying infrastructure management.

Reporting 116
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Google Cloud Helps Macquarie Bank Enhance AI-Banking Capabilities

Analytics Vidhya

Macquarie’s Banking and Financial Services Group has joined forces with Google Cloud to harness the power of artificial intelligence (AI) and machine learning (ML) in an exciting collaboration to revolutionize the banking industry. This partnership aims to enhance customer banking experiences by developing predictive analysis models and streamlining banking processes through automation.

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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.