Sat.Jun 05, 2021 - Fri.Jun 11, 2021

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AI = Artificial Intelligence is NOT always true!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Wait! What does the term ‘AI’ actually stand for? Artificial Intelligence, The post AI = Artificial Intelligence is NOT always true! appeared first on Analytics Vidhya.

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10 AI tech trends data scientists should know

DataKitchen

The post 10 AI tech trends data scientists should know first appeared on DataKitchen.

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Business Intelligence and Analytics: Definitive Guide

FineReport

As companies striving to embrace digital transformation and become data-driven, business intelligence and analytics skills and experience are essential to building a data-savvy team. However, if someone puts you on the spot, can you clearly tell the difference between business intelligence and analytics? And do you know what the key to unlocking value from data is?

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Oracle Earns Innovative Vendor Rating in 2021 Analytics and Data Value Index

David Menninger's Analyst Perspectives

We are happy to share some insights about Oracle Analytics Cloud drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

Analytics 261
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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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Must Known Data Visualization Techniques for Data Science

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In applied Statistics and Machine Learning, Data Visualization is one. The post Must Known Data Visualization Techniques for Data Science appeared first on Analytics Vidhya.

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What Is ‘Equity As Code,’ And How Can It Eliminate AI Bias?

DataKitchen

The primary source of information about DataOps is from vendors (like DataKitchen) who sell enterprise software into the fast-growing DataOps market. There are over 70 vendors that would be happy to assist in your DataOps initiative. Here’s something you likely won’t hear from any of them (except us) – you can start your DataOps journey without buying any software.

Testing 130

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Domo Rated Exemplary and Collaborative Leader in 2021 Value Index on Analytics and Data

David Menninger's Analyst Perspectives

We are happy to share some insights about Domo drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

Analytics 246
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Breast Cancer Classification: Using Deep Learning

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Image by National Cancer Institute from Unsplash. Problem Statement Breast cancer. The post Breast Cancer Classification: Using Deep Learning appeared first on Analytics Vidhya.

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The Game-Changing Technologies Powering the Data-Driven Enterprise in 2021 and Beyond

DataKitchen

The post The Game-Changing Technologies Powering the Data-Driven Enterprise in 2021 and Beyond first appeared on DataKitchen.

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RDF-Star: Metadata Complexity Simplified

Ontotext

There are no easy answers in life or in Information Architecture. Design decisions come with tradeoffs. Relational databases (RDBS) have been the workhorse of ICT for decades. Being able to sit down and define a complete schema, a blueprint of the database, gave everyone assurity and consistency. Sure, you have to ignore the edge cases and hope that they stay edge cases.

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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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Qlik is Exemplary and Value Index Leader in Customer Experience for 2021 Value Index for Analytics and Data

David Menninger's Analyst Perspectives

We are happy to share some insights about Qlik drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

Analytics 136
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Cohort Analysis Using Python For Beginners- A Hands-On Tutorial

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon After understanding and working with this hands-on tutorial, you will. The post Cohort Analysis Using Python For Beginners- A Hands-On Tutorial appeared first on Analytics Vidhya.

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How Master Data Management Can Help Tame the Data Governance Mayhem

DataKitchen

The post How Master Data Management Can Help Tame the Data Governance Mayhem first appeared on DataKitchen.

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Escaping the Bar Chart

Depict Data Studio

Bar charts aren’t evil. But they’re overused. Ready to escape the bar chart? I talked about Designs to Start Using Instead at the DataScienceGO conference in April 2021. Watch the Conference Session. Choose Your Own Adventure. This was a Choose Your Own Adventure presentation , where I gave the conference attendees a chance to vote for the chart families they wanted to learn about.

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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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AI Leads to New Complications and Opportunities in PPC Marketing

Smart Data Collective

Leading digital advertising platforms such as Google and Microsoft Advertising have been at the forefront of technological innovation for years. They have invested heavily in artificial intelligence technology to improve the performance of PPC marketing campaigns. Artificial intelligence has drastically shaped the future of PPC marketing. A growing body of research shows that the benefits of using AI can be remarkable.

Marketing 119
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Playing Super Mario Bros with Deep Reinforcement Learning

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction From this article, you will learn how to play Super. The post Playing Super Mario Bros with Deep Reinforcement Learning appeared first on Analytics Vidhya.

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DataOps: The New Normal in Pharma

DataKitchen

Learn how four pharma companies are quickly identifying new opportunities, improving research efficiency & accelerating new product adoption with DataOps. The post DataOps: The New Normal in Pharma first appeared on DataKitchen.

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7 Must-Have Data Visualization Skills for Data Analysts

Juice Analytics

When I speak to people new to the analytics field, they often wonder what skills will make them successful in their career. For all the data science skills, tools, and boot camps that are available, I still find that the missing link for many data analysts is the ability to communicate and convince after they’ve analyzed data. All your hard work is wasted if it doesn’t spur someone to change.

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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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Cloudera named a Strong Performer in The Forrester Wave™: Streaming Analytics, Q2 2021

Cloudera

Cloudera has been named as a Strong Performer in the Forrester Wave for Streaming Analytics, Q2 2021. We are excited to be recognized in this wave at, what we consider to be, such a strong position. We are proud to have been named as one of “ The 14 providers that matter most ” in streaming analytics. The report states that richness of analytics, development tool options and near-effortless scalability are what streaming analytics customers should look for in a provider. .

IoT 101
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Implementation of YOLOv3: Simplified

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction YOLO is a Deep Learning architecture proposed by Joseph Redmon, The post Implementation of YOLOv3: Simplified appeared first on Analytics Vidhya.

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DBTA 100 2021: The Companies That Matter Most in Data

DataKitchen

The post DBTA 100 2021: The Companies That Matter Most in Data first appeared on DataKitchen.

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Humans and AI: AI and Individuality

DataRobot

I started a family late in life. I have a three-year-old son and just a couple of months ago, celebrated my fifth wedding anniversary. There are pluses and minuses to starting late. My lifestyle choices don’t neatly fit into customer categories that marketers have been using for decades. Some marketing campaigns assume that if I’m a fifty-something man purchasing a product for a child, I must be a grandfather.

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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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What is new in Cloudera Streaming Analytics 1.4?

Cloudera

At the end of March, we released the first version of Cloudera SQL StreamBuilder as part of CSA 1.3. It enabled users to easily write, run and manage real-time SQL queries on streams from Apache Kafka with an exceptionally smooth user experience. . Since then, we have been working hard to expose the full power of Apache Flink SQL and the existing Data Warehousing tools in CDP to combine it into a state-of-the-art real-time analytics platform.

Analytics 101
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Text Analytics of Resume Dataset with NLP!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction We all have made our resumes at some point in. The post Text Analytics of Resume Dataset with NLP! appeared first on Analytics Vidhya.

Analytics 337
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Why Rolling Forecasts Are a “Must”!

Jet Global

In periods of great uncertainty, organizations forecast more frequently in the hope that it will give them a better handle on their trading prospects, levels of activity, and resources needed for the coming months. But cranking the handle more often doesn’t necessarily lead to richer or more accurate insights. At FSN, we call it the “hamster wheel” effect.

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A Survey Into Data Governance Tools

DataCamp

In a recent webinar, we discussed how data governance is a key component of an organization’s data strategy and enables it to harness the full value of data. For a data governance plan to succeed, it is important that the right tools and technology are employed.

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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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Taking AI on Snowflake to the Next Level with Dataiku, Java UDFs, & Snowpark

Dataiku

Want to take execution of AI initiatives across the organization on Snowflake to the next level? Some of the latest updates from Snowflake make it easier to leverage Dataiku to do just that.

IT 95
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Complete Guide to Data Types in Statistics for Data Science

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In Data Science, we aim to do different experiments with. The post Complete Guide to Data Types in Statistics for Data Science appeared first on Analytics Vidhya.

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Big Data Partnerships Drive Growth in the Global Remittance Market

Smart Data Collective

Big data has a number of important roles in businesses around the world. Savvy companies need to appreciate all of the advantages big data provides. Remittance is one of the most important areas where big data can utilized. The Growing Role of Big Data in Remittance Businesses. With so many consumers around the world using money transfer services, the global digital remittance market has experienced unprecedented rates of growth over the last few years.

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How to use Apache Spark with CDP Operational Database Experience

Cloudera

Apache Spark is a very popular analytics engine used for large-scale data processing. It is widely used for many big data applications and use cases. CDP Operational Database Experience Experience (COD) is a CDP Public Cloud service that lets you create and manage operational database instances and it is powered by Apache HBase and Apache Phoenix. .

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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.