March, 2023

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Choosing the Right Python Environment Tool for Your Next Project

Analytics Vidhya

Introduction Setting up an environment is the first step in Python development, and it’s crucial because package management can be challenging with Python. And also Python is a flexible language that can be applied in various domains, including scientific programming, DevOps, automation, and web development. Given the length and breadth of third-party applications, your global environment […] The post Choosing the Right Python Environment Tool for Your Next Project appeared first on

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5 Advance Projects for Data Science Portfolio

KDnuggets

Work on data analytics, time series, natural language processing, machine learning, and ChatGPT projects to improve your chance of getting hired.

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Women in tech statistics: The hard truths of an uphill battle

CIO Business Intelligence

Diversity is critical to IT performance. Diverse teams perform better, hire better talent, have more engaged members, and retain workers better than those that do not focus on diversity and inclusion, according to a 2020 report from McKinsey. Despite this, women remain widely underrepresented in IT roles. And the numbers back up this assertion, often in stark ways.

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Getting the Right Answer from ChatGPT

O'Reilly on Data

A couple of days ago, I was thinking about what you needed to know to use ChatGPT (or Bing/Sydney, or any similar service). It’s easy to ask it questions, but we all know that these large language models frequently generate false answers. Which raises the question: If I ask ChatGPT something, how much do I need to know to determine whether the answer is correct?

Testing 263
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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.

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What Is a Large Language Model, the Tech Behind ChatGPT?

Dataiku

The release of ChatGPT by OpenAI in December 2022 has drawn an incredible amount of attention. This curiosity extends from artificial intelligence in general to the class of technologies that underpins the AI chatbot in particular. These models, called large language models (LLMs), are capable of generating text on a seemingly endless range of topics.

Modeling 126
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Predictive Analytics Helps New Dropshipping Businesses Thrive

Smart Data Collective

Many different industries are growing due to the proliferation of big data. The dropshipping industry is among them. Paul Glen of IBM’s Business Analytics wrote an article titled “ The Role of Predictive Analytics in the Dropshipping Industry.” Glen shares some very important insights on the benefits of utilizing predictive analytics to optimize a dropshipping commpany.

More Trending

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ChatGPT for Data Science Cheat Sheet

KDnuggets

The latest KDnuggets cheat sheet covers using ChatGPT to your advantage as a data scientist. It's time to master prompt engineering, and here is a handy reference for helping you along the way.

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Why data leaders struggle to produce strategic results

CIO Business Intelligence

Chief data and analytics officers (CDAOs) are poised to be of increasing strategic importance to their organizations, but many are struggling to make headway, according to data presented last week by Gartner at the Gartner Data & Analytics Summit 2023. Fewer than half (44%) of data and analytics leaders say their teams are effective in providing value to their organization.

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Use Apache Iceberg in a data lake to support incremental data processing

AWS Big Data

Apache Iceberg is an open table format for very large analytic datasets, which captures metadata information on the state of datasets as they evolve and change over time. It adds tables to compute engines including Spark, Trino, PrestoDB, Flink, and Hive using a high-performance table format that works just like a SQL table. Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback.

Data Lake 117
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Streaming Ingestion for Apache Iceberg With Cloudera Stream Processing

Cloudera

Recently, we announced enhanced multi-function analytics support in Cloudera Data Platform (CDP) with Apache Iceberg. Iceberg is a high-performance open table format for huge analytic data sets. It allows multiple data processing engines, such as Flink, NiFi, Spark, Hive, and Impala to access and analyze data in simple, familiar SQL tables. In this blog post, we are going to share with you how Cloudera Stream Processing ( CSP ) is integrated with Apache Iceberg and how you can use the SQL Stream

Snapshot 115
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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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AI is Driving Huge Changes in Omnichannel Marketing

Smart Data Collective

Artificial intelligence is the latest trend shaping the omnichannel experience for customers in many retail outlets. One of the biggest trends pertains to personalization. The Forbes Research Council wrote an article in October citing research showing that 71% of customers now expect a personalized experience. The article makes the point that AI is key to meeting that expectation.

Marketing 117
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Top 10 AI Email Automation Tools to Use in 2023

Analytics Vidhya

Email automation is a game-changer for businesses, but with AI, it’s becoming even more powerful! AI-powered email automation tools use ML algorithms to analyze data and optimize campaigns, delivering personalized content to each recipient. These tools can also help businesses save time and resources by automating repetitive tasks and providing insights into customer behavior.

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A Complete Collection of Data Science Free Courses – Part 1

KDnuggets

The first part covers the list of Programming, Web scraping, Statistics & Probability, Data Analytics, SQL, and Business Intelligence free courses.

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AI and automation will play an increasing role in technology

CIO Business Intelligence

By Ram Velaga, Senior Vice President and General Manager, Core Switching Group This article is a continuation of Broadcom’s blog series: 2023 Tech Trends That Transform IT. Stay tuned for future blogs that dive into the technology behind these trends from more of Broadcom’s industry-leading experts. It is clear that artificial intelligence, machine learning, and automation have been growing exponentially in use—across almost everything from smart consumer devices to robotics to cybersecurity to

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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

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Powering Efficient Data Prep & Effective MLOps: Dataiku + Snowflake

Dataiku

How can your organization practically and pervasively deploy innovative technology while still maintaining control? When you break it down, the answer is actually fairly simple: gaining topic literacy and choosing the right platform. Enhancing your technology stack while tapping into your preexisting knowledge base and unfettering expert talent to work on high-value projects will give your organization the flexibility and competitive edge needed to emerge ahead.

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DataRobot and SAP Partner to Deliver Custom AI Solutions for the Enterprise

DataRobot Blog

Today, SAP and DataRobot announced a joint partnership to enable customers connect core SAP software, containing mission-critical business data, with the advanced Machine Learning capabilities of DataRobot to make more intelligent business predictions with advanced analytics. Every modern enterprise has a unique set of business data collected as part of their sales, operations, and management processes.

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Key Strategies to Develop AI Software Cost-Effectively

Smart Data Collective

You have probably read a lot about the major changes brought on by AI technology in recent months. Many people have called 2023 “the year of AI.” Every day we hear new stories about miraculous breakthroughs caused by ChatGPT and other AI applications. For example, ChatGPT recently The Independent said that the technology is starting to show signs that it can think like humans.

Software 113
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Creating Interactive and Animated Charts with ipyvizzu

Analytics Vidhya

Introduction Data visualization (DV) plays a crucial role in analyzing and interpreting data. It helps to identify patterns, trends, and relationships in large and complex datasets, making it easier to communicate insights and findings to a broader audience. With the growing importance of data science and machine learning, data analysis holds a special place in […] The post Creating Interactive and Animated Charts with ipyvizzu appeared first on Analytics Vidhya.

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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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A Complete Collection of Data Science Free Courses – Part 2

KDnuggets

The second part covers the list of Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Data Engineering, and MLOps.

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What is data governance? Best practices for managing data assets

CIO Business Intelligence

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets. The Data Governance Institute defines it as “a system of decision rights and accountabilities for information-related processes, executed according to agreed-upon models which describe who can take what actions with what inf

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Dataiku Frontrunner Awards: Celebrating the Success of Users Across Industries

Dataiku

Whether it’s strengthening collaboration through data democratization, accelerating the time to realize value, or enabling organizations to develop AI capabilities that they can trust, teams and individuals across industries leverage Dataiku to harness the power of data, with results that can be truly transformative.

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Why should you combine ChatGPT with Knowledge Graphs?

Ontotext

ChatGPT, a huge language model developed by OpenAI , has revolutionized the area of natural language generation by its ability to generate human-like text. However, like any machine learning model , it has its limitations. One of the limitations of ChatGPT is its lack of understanding of the context and background knowledge of the text it generates.

Modeling 104
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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

Embark on a transformation journey into the heart of the data ecosystem! This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Delve into the diverse use cases where data analytics plays a pivotal role. We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond.

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Top Five AI-Driven Digital Marketing Tools in 2023

Smart Data Collective

We have seen some massive changes with AI technology in the past year, especially in the field of marketing. While we have talked about advances in AI for years on this blog, the rest of the world is finally coming to grips with the extent of the AI revolution. This past week, a growing number of people have talked about the changes that ChatGPT 4 is brining to our lives.

Marketing 105
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Applications of Machine Learning and AI in Banking and Finance in 2023

Analytics Vidhya

Introduction Could the American recession of 2008-10 have been avoided if machine learning and artificial intelligence had been used to anticipate the stock market, identify hazards, or uncover fraud? The recent advancements in the banking and finance sector suggest an affirmative response to this question. The keys to business success are sophisticated, intelligent security systems […] The post Applications of Machine Learning and AI in Banking and Finance in 2023 appeared first on Analyt

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Reading Minds with AI: Researchers Translate Brain Waves to Images

KDnuggets

Two researchers from Osaka University were able to reconstruct highly accurate images from human brain activity obtained by fMRI. Read this article if you are curious to find out what all the hype is about.

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Ceiling breakers: Women IT execs shake up the status quo

CIO Business Intelligence

Early in her life Ricki J. Koinig saw the immense impact that technology could have on individuals and their ability to move through life. To pay for horseback riding lessons while growing up, Koinig worked in a program for children and young adults with special needs who used assistive technologies. Those early professional experiences in tech ed coupled with an opportunity to move to Europe brought her into the IT realm.

IT 131
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Addressing Top Enterprise Challenges in Generative AI with DataRobot

The buzz around generative AI shows no sign of abating in the foreseeable future. Enterprise interest in the technology is high, and the market is expected to gain momentum as organizations move from prototypes to actual project deployments. Ultimately, the market will demand an extensive ecosystem, and tools will need to streamline data and model utilization and management across multiple environments.

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Build a serverless transactional data lake with Apache Iceberg, Amazon EMR Serverless, and Amazon Athena

AWS Big Data

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats. However, as data processing at scale solutions grow, organizations need to build more and more features on top of their data lakes.

Data Lake 102
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Data is Risky Business: I Want My ChatGPT

TDAN

The world is a-buzz with articles about ChatGPT and other Large Learning Models such as Google’s Bard. The tone and tenor of these articles range from blind hype to abject horror. Some of the hype sounds like a bad paraphrase of Dire Straits: “Look at them losers, that’s the way you do it.

Modeling 100
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Embedded BI Tools Bring Huge Benefits to Business Applications

Smart Data Collective

Business intelligence has made a huge mark on the world of business. According to Fortune Business Insights, businesses spent around $24.05 billion BI solutions in 2021. However, many workplaces are still trying to figure out how to leverage business intelligence effectively. This technology offers many potential benefits, but many companies don’t fully take advantage of the opportunities it provides.

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An Introduction to Large Language Models (LLMs)

Analytics Vidhya

Introduction Large Language Models (LLMs) are foundational machine learning models that use deep learning algorithms to process and understand natural language. These models are trained on massive amounts of text data to learn patterns and entity relationships in the language. LLMs can perform many types of language tasks, such as translating languages, analyzing sentiments, chatbot […] The post An Introduction to Large Language Models (LLMs) appeared first on Analytics Vidhya.

Modeling 341
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A Tale of Two Case Studies: Using LLMs in Production

Speaker: Tony Karrer, Ryan Barker, Grant Wiles, Zach Asman, & Mark Pace

Join our exclusive webinar with top industry visionaries, where we'll explore the latest innovations in Artificial Intelligence and the incredible potential of LLMs. We'll walk through two compelling case studies that showcase how AI is reimagining industries and revolutionizing the way we interact with technology. Some takeaways include: How to test and evaluate results 📊 Why confidence scoring matters 🔐 How to assess cost and quality 🤖 Cross-platform cost vs. quality tr