Sat.Oct 02, 2021 - Fri.Oct 08, 2021

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Combining Empathy and AI

DataRobot

Trust in AI must be earned. Ideally, business users or consumers that interact with a model and its output displayed in a dashboard should not need to question its authenticity. Unfortunately, we aren’t there yet, and it’s because there are different components to trust, some we have yet to address. One of these components is empathy. Many individuals do not fully trust AI due to the lack of empathy that is instilled into models.

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A Beginner’s Guide to Feature Engineering – Everything You Need to Know!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview Say, you were setting up a gift shop and your supplier dumps all the toys that you asked for in a room. It’s going to look something like this. Total chaos! Now picture yourself standing in front of this huge pile of toys […]. The post A Beginner’s Guide to Feature Engineering – Everything You Need to Know!

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Alteryx Tackles Analytics Ops

David Menninger's Analyst Perspectives

Alteryx is a data analytics software company that offers data preparation and analytics tools to simplify and automate data wrangling, data cleaning and modeling processes, enabling line-of-business personnel to quickly access, manipulate, analyze and output data. The platform features tools to run a variety of analytic functions such as diagnostic, predictive, prescriptive and geospatial analytics in a unified platform, and can connect to various data warehouses, cloud applications, spreadsheet

Analytics 244
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How Predictive and Prescriptive Analytics Improve the Call Center Experience

DataKitchen

The post How Predictive and Prescriptive Analytics Improve the Call Center Experience first appeared on DataKitchen.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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BPMN Diagrams For Dummies

BA Learnings

What Is BPMN? Business process modeling notation, or BPMN, is the way BPM professionals communicate the design of a specific process, be it simple or exceedingly complex. There are various steps in any process that may come up, and notation helps a business process management (BPM) professional identify these at a glance, and to describe what needs to be done at any given point during the process based on element types.

Metrics 130
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End-to-End Introduction to Handling Missing Values

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview Data provides us with the power to analyze and forecast the events of the future. With each day, more and more companies are adopting data science techniques like predictive forecasting, clustering, and so on. While it’s very intriguing to keep learning about complex […].

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DataOps Lowers The Cost Of Asking Analytic Questions

DataKitchen

The post DataOps Lowers The Cost Of Asking Analytic Questions first appeared on DataKitchen.

Analytics 246
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Deep Learning for Time Series Forecasting: Is It Worth It?

Dataiku

Using RNNs & DeepAR Models to Find Out. Time series forecasting use cases are certainly the most common time series use cases, as they can be found in all types of industries and in various contexts. Whether it is forecasting future sales to optimize inventory, predicting energy consumption to adapt production levels, or estimating the number of airline passengers to ensure high-quality services, time is a key variable.

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Applications of Convolutional Neural Networks(CNN)

Analytics Vidhya

This article was published as a part of the Data Science Blogathon What is CNN? Convolutional Neural Network is a type of deep learning neural network that is artificial. It is employed in computer vision and image recognition. This procedure includes the following steps: OCR and image recognition Detecting objects in self-driving cars Social media face […].

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The Evolving Importance of Analytics in Generating Leads through PPC

Smart Data Collective

Analytics technology has been invaluable to modern marketing. The market for web analytics is projected to be worth $9.11 billion by 2025. The utilization of analytics and big data in the marketing industry has played a massive role in this robust growth. One of the most important benefits of analytics in marketing is with PPC marketing. More companies are using analytics to expand the reach of their PPC campaigns and improve their ROI.

Analytics 117
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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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Why Enterprise AI Needs Human Intervention

DataKitchen

The post Why Enterprise AI Needs Human Intervention first appeared on DataKitchen.

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Introducing New Enhancements to the Cloudera Connect Partner Program

Cloudera

October sees the launch of Partner Appreciation Month and during the next few weeks we will be sharing success stories, updates and interviews with our valued partners across the world. . We’re on a mission to make data and analytics easy and accessible, for everyone, and the hybrid data cloud is how we’ll get there. Today’s world is a hybrid world—there’s hybrid data, hybrid infrastructure, hybrid work—and leading businesses are embracing these changes, unafraid to transform their processes and

Sales 107
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Introduction to Deep Learning in Julia

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview In the current scenario, the Data science field is dominated by Python/R but there is another competition added not so long ago, Julia! which we will be exploring in this guide. The famous quote (motto) of Julia is – Looks like Python, runs […]. The post Introduction to Deep Learning in Julia appeared first on Analytics Vidhya.

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How Genetic Algorithms and Machine Learning Apply to Investments

Smart Data Collective

Learn how genetic algorithms and machine learning can help hedge fund organizations manage a business. As well as bolster investor confidence and improve profitability. As a hedge fund shareholder, you certainly want the best for your organization, right? For instance, you want to generate effective AUM, NAV, and share value reports to improve investor confidence as a manager.

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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 a DataOps Engineer?

DataKitchen

A DataOps Engineer owns the assembly line that’s used to build a data and analytic product. Data operations (or data production) is a series of pipeline procedures that take raw data, progress through a series of processing and transformation steps, and output finished products in the form of dashboards, predictions, data warehouses or whatever the business requires.

Testing 157
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Communicating with Your Audience More Effectively

Depict Data Studio

Depict Data Studio full courses always end with a graduation ceremony where students share the progress they’ve made. I’m always amazed by the transformations that take place and I can’t help but want to share their wonderful work! Today you’ll learn from JC De Jesus, Vice-President of Service Delivery for an internet-provider based in Canada. Thanks for sharing, JC!

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A Comprehensive Guide on Market Basket Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview This comprehensive guide will instigate you to the world of Market Basket Analysis along with an implementation using Python on a dataset. Market Basket Analysis will help you to design different store Layouts. Introduction Nowadays Machine Learning is helping the Retail Industry in […].

Marketing 358
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How To Maintain Accurate Data Through Conversational Analysis?

Smart Data Collective

There is no question that big data is very important for many businesses. Unfortunately, big data is only as useful as it is accurate. Data quality issues can cause serious problems in your big data strategy. Customers won’t always directly tell you the information your company needs to provide better products or services. However, their conversations on social media, most frequently posted topics and words, and responses to survey questions can reveal information essential to your company’s per

Big Data 111
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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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Why the Conversation Is Shifting From Collaborative Data Science to Systemization

Dataiku

Collaboration has always been an integral element of successful data science, but the concept moved into the spotlight as the global health crisis swiftly shifted the dynamics of data teams everywhere — in the blink of an eye, they were forced to navigate their data science projects (both those that were in progress and that hadn’t begun yet) in a remote world.

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Take Advantage Of Strategic Dashboard – Read These 8 Tips

FineReport

There are three types of dashboards: operational, strategic, and analytical. We have discussed operational dashboards before. Today, I’m going to share more detailed information on strategic dashboards with you. This post will cover the definition, importance, and designing guide on strategic dashboards. Strategic dashboard. What is a strategic dashboard?

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Would you like to start your Machine Learning journey for FREE?

Analytics Vidhya

We live in an era where choices are just endless. Especially with respect to Education! With a plethora of data science courses online, it is difficult to identify where to begin your journey from. How about beginning your MACHINE LEARNING Journey FREE of charge? Since its inception, Analytics Vidhya has been striving hard to explain […]. The post Would you like to start your Machine Learning journey for FREE?

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Importance of Licenses for Data-Driven Fintech Companies Offering AISP

Smart Data Collective

Big data technology has been the basis for the Fintech industry. There is no disputing the major benefits that big data has created for the financial sector. However, there are also new challenges that have arisen as big data has become more widely available in Fintech. One of the biggest changes is new regulations. Fintech businesses must make sure that any data scientists working for them are licensed and trained to handle tasks with the utmost sensitivity.

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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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NXP: Building a Data Organization That Performs & Elevates the Individual

Dataiku

The concept of AI in the enterprise has been around for a bit now, and the way different organizations have handled the implementation of data structures and management, as well as new evolutions in AI technology itself, varies greatly. Whether organizations are just now jumping into the game, or if they have benched their programs after finding themselves lost and confused in devising a strategy, many could benefit from studying an application approach such as NXP’s.

Strategy 104
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Everything is Connected, Everything Changes

Alation

Jason McVay is a data scientist at Indigo Ag, an agriculture-tech company headquartered in Massachusetts. He has an education in environmental science and geography, with a Master’s degree in paleoecology. In this essay, Jason reflects on the value of thinking spatially about data, showing how his experience as a graduate student influences his role as a data scientist today.

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A Comprehensive Guide on Deep Learning Optimizers

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview Deep learning is the subfield of machine learning which is used to perform complex tasks such as speech recognition, text classification, etc. A deep learning model consists of activation function, input, output, hidden layers, loss function, etc. Any deep learning model tries to […].

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Benefits of Using Drupal to Create a Website with AI Capabilities

Smart Data Collective

AI technology has become a gamechanger for website development. Many developers are using AI to create better sites. However, it is also important to create sites with great AI features. AI-based solutions are becoming more and more popular among various industries. AI features can significantly improve the quality of your customer service and provide you with useful business insights.

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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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Volkswagen and Teradata Develop New Smart Factory Solution

Teradata

An interdisciplinary team from Volkswagen, AWS and Teradata have created an intelligent solution that enables greater transparency and efficiency in car body construction. Find out more.

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Why Your Data Governance Strategy is Failing

Alation

What is data governance and how do you measure success? Data governance is a system for answering core questions about data. It begins with establishing key parameters: What is data, who can use it, how can they use it, and why? Answers will differ widely depending upon a business’ industry and strategy for growth. But what comes after these parameters are set?

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Text Summarization using the conventional, Hugging Face Transformer and Cosine Similarity

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Every day, we are inundated with information. There are numerous articles that we read on a daily basis. As a result, there is a lot of data moving about, largely in the form of text. If we need to learn something about an […]. The post Text Summarization using the conventional, Hugging Face Transformer and Cosine Similarity appeared first on Analytics Vidhya.

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GraphDB Users Ask: Does GraphDB Support Reusing Values in Sub-selects?

Ontotext

ONTOTEXT ANSWER: A little background for those of you who are puzzled by this question. We are going to go down the rabbit hole of advanced SPARQL. Suppose you have a database of movies. In that database, you also have data on the actors. For each actor, you have some properties, including their height. So, you may think of a query such as: “Return the four top-grossing movies, and then return the two highest actors for each movie.”.

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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.