Sat.Apr 01, 2023 - Fri.Apr 07, 2023

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5 Essential AI Tools for Data Science

KDnuggets

Learn how Bard, Bing, ChatGPT, GitHub Copilot, and Hugging Face are improving data scientists' work life.

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3 ways CIOs should drive the future of work

CIO Business Intelligence

“Who owns and oversees employee experience and the future of work at your organization” is a question I’ve been asking CIOs and IT leaders a lot of late. The ensuing conversation usually reveals a telling disconnect that CIOs should remedy for the health of their companies. Most IT leaders pause before responding to this question. Some go on to describe hybrid work plans, which is one aspect of the future of work, but it’s not the complete scope.

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3 Ways Companies Will Double Down on Agent Experience in 2023

CIO Business Intelligence

The current state of the contact center agent is clear, but for those unaware or overlooking this opportunity for improvement: agent attrition rates currently hover around 40% , the cost of replacing just one agent is between $10k-$20k , and 97% of agents are sometimes or almost always burned out. Unengaged employees (undoubtedly including contact center agents) collectively cost $7.8 trillion in lost productivity, or about 11% of the global GDP.

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Exploring Data Cleaning Techniques With Python

KDnuggets

Tutorial on data cleaning techniques using Python.

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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

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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Futurist Ray Kurzweil Claims Humans Will Achieve Immortality by 2030

Analytics Vidhya

“Immortality in Just 7 Years,” Predicts Ex-Google Engineer Ray Kurzweil, the man behind some of the most accurate predictions of our time, has made a jaw-dropping claim: “Humans will achieve immortality by 2030!” In a recent YouTube series, the Ex-Google engineer spoke of the incredible advancements in technology that will lead to eternal life.

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ON-DEMAND WEBINAR: Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms

DataKitchen

James guides us through years of experience working in data, giving insight to many customers and leading highly efficient and effective teams. Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms The post ON-DEMAND WEBINAR: Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms first appeared on DataKitchen.

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LangChain 101: Build Your Own GPT-Powered Applications

KDnuggets

LangChain is a Python library that helps you build GPT-powered applications in minutes. Get started with LangChain by building a simple question-answering app.

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Deep Learning for Image Segmentation with TensorFlow

Analytics Vidhya

Introduction Image segmentation is a task in computer vision that involves dividing a particular image into multiple segments where each segment represents an object or region in the image. This task is important for applications such as object detection, image recognition, and autonomous driving. TensorFlow is an open-source framework used for building and training machine […] The post Deep Learning for Image Segmentation with TensorFlow appeared first on Analytics Vidhya.

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10 fastest growing US tech hubs for IT talent

CIO Business Intelligence

Tech salaries are on the rise thanks to a demand for talent across nearly every industry. Salaries increased 2.3% between 2021 and 2022, reaching an average tech salary of $111,348 per year, according to the 2023 Dice Tech Salary Report. Salaries vary by location, with the technologists reporting the highest average salaries of $144,962 per year in Silicon Valley, the original tech hub.

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What does AI think is a good analogy for a Business Data Fabric?

Timo Elliott

Here’s an extract of a short conversation I recently had with GPT-4, illustrated with images from Midjourney. What is a good analogy to explain the concept of “data fabric”? A good analogy to explain the concept of “data fabric” is a city’s transportation system. In a city, there are various means of transportation (roads, trains, buses, bike lanes, and walking paths) that allow people to move between different areas.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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RAPIDS cuDF to Speed up Your Next Data Science Workflow

KDnuggets

This article will explain how RAPIDS can help you speed up your next data science workflow. RAPIDS cuDF is a GPU DataFrame library that allows you to produce your end-to-end data science pipeline development all on GPU.

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The Dark Side of AI Innovation: ChatGPT Bug Exposes User Payment Data

Analytics Vidhya

OpenAI Confirms Security Breaches as Thousands Are Left Vulnerable to Information Leaks In the age of technological marvels, Artificial Intelligence (AI) chatbot, ChatGPT, created by OpenAI, has been a game-changer. ChatGPT offers personalized restaurant recommendations, table bookings, travel arrangements, and even grocery orders. But beneath the awe-inspiring capabilities lies a startling revelation.

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To Improve Customer Experience, Improve the Digital Employee Experience

CIO Business Intelligence

You heard about a nightmare scenario playing out for peers at other companies and hope it doesn’t affect yours. Trouble tickets are rolling in, and there’s a lack of qualified people to address security alerts and help desk issues right when customer demand, supply shortages, and potential threats are at their peak. Even with flexible remote work policies, the most seasoned employees in roles such as customer support, data science, business analysis, and DevSecOps move on to greener pastures and

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Generic orchestration framework for data warehousing workloads using Amazon Redshift RSQL

AWS Big Data

Tens of thousands of customers run business-critical workloads on Amazon Redshift , AWS’s fast, petabyte-scale cloud data warehouse delivering the best price-performance. With Amazon Redshift, you can query data across your data warehouse, operational data stores, and data lake using standard SQL. You can also integrate AWS services like Amazon EMR , Amazon Athena , Amazon SageMaker , AWS Glue , AWS Lake Formation , and Amazon Kinesis to take advantage of all of the analytic capabilities in the

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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The Future of Work: How AI is Changing the Job Landscape

KDnuggets

With more and more companies integrating artificial intelligence into the workplace, what does this mean for employees' futures and careers?

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Meta to Commercialize Generative AI by December

Analytics Vidhya

Meta, formerly known as Facebook, has announced plans to commercialize its proprietary generative Artificial Intelligence (AI) technology by December. The company sees generative AI as a critical technology for content creation within the Metaverse. Metaverse is a virtual reality space that Meta is developing. This comes after years of research and development by the tech […] The post Meta to Commercialize Generative AI by December appeared first on Analytics Vidhya.

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Micro Logic’s Projet Cirrus – Bringing Sovereign Cloud to Canada

CIO Business Intelligence

Stéphane Garneau, the president of Quebec-based Micro Logic, still sees the same forces driving private sector enterprises and public sector agencies to seek out sovereign cloud solutions now that he witnessed nearly a decade ago. “We first made the commitment to create and offer sovereign cloud solutions and services in 2014,” says Garneau. “At the time government agencies wanted to embrace technologies and the flexibility and performance they offered, but feared being subjected to a competitiv

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How to Summarize Data using ChatGPT

Juice Analytics

We know that ChatGPT is remarkable at generating text. It is also a powerful tool for summarizing text. It can compress a long article down to the CliffsNotes version in an instant. How does it do with data? With some prompting guidance, I was able to teach ChatGPT an approach for summarizing a data table. Understanding what you are working with in data is often the first step before diving into analysis.

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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8 Open-Source Alternative to ChatGPT and Bard

KDnuggets

Discover the widely-used open-source frameworks and models for creating your ChatGPT like chatbots, integrating LLMs, or launching your AI product.

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Analyzing Data Made Effortless Using ChatGPT

Analytics Vidhya

Introduction Tired of sifting through mountains of analyzing data without any real insights? ChatGPT is here to change the game. With its advanced natural language processing capabilities, ChatGPT can uncover hidden patterns and trends in your data that you never thought possible. In this blog post, we’ll explore how ChatGPT can revolutionize your data with […] The post Analyzing Data Made Effortless Using ChatGPT appeared first on Analytics Vidhya.

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CIOs step in to help upgrade Africa’s account management systems

CIO Business Intelligence

As globalization evolves, accounting becomes more central to the development of a modern economy, with the need for greater trust in digital financial transactions. Some African entrepreneurs have begun to address this urgency by developing atypical accounting automation and new management systems where CIOs drive the ins and outs of the processes to keep up with ever-changing markets.

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7 Ways Data Monetization is Changing the Information Technology Job Market

Smart Data Collective

With the technology media focused on how many of the largest players are cutting staff, it might be hard to believe that some computer industry sectors are actually seeing a great deal of growth when it comes to hiring new employees. Data processing specialists who have at least some experience turning raw numbers into actual insights might soon find a number of careers open to them.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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My Data Science Six Months Success Story

KDnuggets

I will be sharing a couple of things I have learned in the past six months and tips that helped me stay dedicated and true to my journey in this article.

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Top 14 Marketing Analytics Tools for Data-Driven Marketers

Analytics Vidhya

What would a marketer do to achieve a better position in the market? ‘Monitor’ and ‘Compare’. These two actions help acknowledge the actual outcomes of efforts to boost businesses. Insightful metrics allow marketers to identify what works and what does not. AI marketing analytics tools help a marketer plan strategically from the cluster of data […] The post Top 14 Marketing Analytics Tools for Data-Driven Marketers appeared first on Analytics Vidhya.

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Increase customer protection with edge security

CIO Business Intelligence

Traditional IT security methods are increasingly flawed and the volume and sophistication of threats continue to increase. According to NETSCOUT , one DDoS attack occurs every three seconds, and the Cybersecurity and Infrastructure Security Agency recently added 66 new vulnerabilities to its Known Exploited Vulnerabilities Catalog, with new common vulnerabilities and exposures (CVEs) growing over 25% year-over-year in 2022.

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CASBs Help Cloud-Based Businesses Avoid Data Breaches

Smart Data Collective

Cloud technology has become increasingly important for businesses in all parts of the economy. Zippia reports that 48% of businesses store their most important data on the cloud and 60% of all corporate data is on the cloud. The growing popularity of cloud solutions is not surprising. After all, there are clearly a number of major benefits of cloud computing.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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Top Posts March 27 – April 2: Automate the Boring Stuff with GPT-4 and Python

KDnuggets

Automate the Boring Stuff with GPT-4 and Python • How to Use ChatGPT to Improve Your Data Science Skills • 5 Free Tools For Detecting ChatGPT, GPT3, and GPT2 • ChatGPT for Data Science Cheat Sheet • 4 Ways to Generate Passive Income Using ChatGPT

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Revolutionize Your Enterprise With Google Cloud’s New Generative AI Tools: Gen App Builder and Vertex AI Updates

Analytics Vidhya

Enter the Era of Generative AI With Google Cloud Google Cloud has recently unveiled its latest generative AI capabilities. The latest tools will make it easier than ever for enterprises to develop and deploy advanced AI applications. With the introduction of the Gen App Builder and new features in Vertex AI, businesses can now leverage […] The post Revolutionize Your Enterprise With Google Cloud’s New Generative AI Tools: Gen App Builder and Vertex AI Updates appeared first on Analyt

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How Foodstuffs North Island’s IT team weathered recent NZ storms to keep stores operational

CIO Business Intelligence

New Zealand’s start to 2023 has been challenging, with Auckland hit by torrential flooding in January followed by Cyclone Gabrielle in February, which left a trail of destruction across Northland, Hawkes Bay, and the East Coast. For Foodstuffs North Island, the supermarket cooperative behind well-known brands like New World, Pak’nSave, and Four Square, several of their stores were cut off, damaged, and without connectivity as a result.

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What’s hard about AI? Operations!

Timo Elliott

What’s hard about #AI ? It’s not creating the models or doing the data science—it’s actually making it part of an operational process. You don’t have to take my word for it, here’s a quote from Gartner AI Expert Erick Brethenoux talking on a recent (and free!) web seminar “ Beyond the Hype: Enterprise Impact of ChatGPT and Generative AI “ “As an AI expert myself, I didn’t have enough appreciation for my colleagues that are downstream, doing all the

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.