Sat.Aug 28, 2021 - Fri.Sep 03, 2021

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EX is the New CX

Rocket-Powered Data Science

(This article is a continuation of my earlier article “ When the Voice of the Customer Actually Talks.”). I recently attended (virtually) CX Summit 2021 , presented by Five9 , which focused on “CX Reimagined.” At first this title for the event seemed a bit grandiose to me – Reimagined! After attending the event, I now think the title was perfect, and it could have gone even further.

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Hand Pose Estimation based on LiDAR in 30 minutes

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Hello everyone! While cyberpunk has not yet entered our lives that much, and neuro interfaces are far from ideal, LiDAR can become the first stage on the path to the future of manipulators. Therefore, in order not to get bored during the holidays, […]. The post Hand Pose Estimation based on LiDAR in 30 minutes appeared first on Analytics Vidhya.

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Informatica Earns Data Digital Innovation Award for 2021

David Menninger's Analyst Perspectives

The annual Ventana Research Digital Innovation Awards showcase advances in the productivity and potential of business applications, as well as technology that contributes significantly to the improved processes and performance of an organization. Our goal is to recognize technology and vendors that have introduced noteworthy digital innovations to advance business and IT.

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Speech Emotion Recognition Using Deep Learning

Dataiku

In this rapidly advancing AI world, human computer interactions (HCI) are of extreme importance. We live in a world where Siri and Alexa are physically closer to us than other humans. Soon the world will get more populated with physical and virtual service robots to accomplish tasks that range from caring for the elderly to assessing the effectiveness of your marketing campaign.

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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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Understanding the Differences Between Data Lakes and Data Warehouses

Smart Data Collective

Data lakes and data warehouses are probably the two most widely used structures for storing data. In this article, we will explore both, unfold their key differences and discuss their usage in the context of an organization. Data Warehouses and Data Lakes in a Nutshell. A data warehouse is used as a central storage space for large amounts of structured data coming from various sources.

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Essential Text Pre-processing Techniques for NLP!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon What if you could simply talk or converse with a computer just the way you talk to a human? Sounds impressive, doesn’t it? Natural Language Processing helps us do just that! Natural language processing (NLP) can be thought of as an intersection of Linguistics, […]. The post Essential Text Pre-processing Techniques for NLP!

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Dashboard Design: Navigation To Better User Experience

FineReport

Dashboard is the core function of data products. It is the medium for users to connect data. Moreover, it takes the shoulders to lead and guide users to make analysis and decision-making, helping users to quickly judge business conditions and supporting them to take respondent actions. Therefore, dashboard design, also called dashboard navigation, is very important for navigating users to better apply dashboards.

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The Growing Role of Analytics in Business Knowledge Management

Smart Data Collective

In the current economic turbulent times, showing business stakeholders that your knowledge sharing and reusing brings business value works as a driving force for investing in a knowledge management tool. . But, how do you convince stakeholders about the importance of knowledge management? Simple! Use data and analytics to back your claims. The simplest way is to measure the performance of your knowledge management.

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Linear Regression and Gradient Descent in PyTorch

Analytics Vidhya

This article was published as a part of the Data Science Blogathon We are using Jupyter notebook to run our code. We suggest following this tutorial on Google Colaboratory. You can check out this link for more info about its usage. To follow through this tutorial prior knowledge of PyTorch and python programming is assumed. No […]. The post Linear Regression and Gradient Descent in PyTorch appeared first on Analytics Vidhya.

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No-Code and Low-Code application development as a way to increase Diversity in your organisation

Jen Stirrup

Customers often ask me how they can increase diversity in their workplaces. It is a complicated question since there are so many different aspects to it, such as intersectionality and its implications for treating people equally. The ‘next normal’ reality is the customers expect everything faster with desired personal service. And the expectations will be challenging to meet.

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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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Data Quality Problems Everywhere You Look

TDAN

Data is everywhere! But can you find the data you need? Can you trust it when you get it? What can be done to ensure the quality of the data? How can you show the value of investing in data? These are not new questions, but many people still do not know how to practically […].

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Key Factors in Choosing Data-Driven Digital Signage Solutions

Smart Data Collective

As we have stated before, big data is becoming vital to modern marketing strategies. We have mentioned that it has been instrumental in virtually all digital marketing strategies in recent years, such as PPC advertising. However, it is becoming abundantly clear that big data technology is also rapidly transforming many traditional marketing practices as well.

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Understanding the Basics of Apache Spark RDD

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Hello readers! In this article, I am going to discuss one of the most essential parts of Apache Spark called RDD. Before getting into Spark RDD, I strongly recommend you to read my article, Understand the internal working of Apache Spark to get an overview of […]. The post Understanding the Basics of Apache Spark RDD appeared first on Analytics Vidhya.

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Data Science for Oil & Gas

Dataiku

At the end of the day, the mission of many projects in oil and gas companies can be drawn back to one thing: the efficiency of the wells. Specific targets could be upping production, enhancing recovery, or reducing loss, but all of these things lead to increased efficiency. So let’s explore some of the challenges that oil and gas companies are facing in pursuit of these targets and take a look at how data science, machine learning, and AI offer solutions to the problems that the companies face.

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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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When Data Redefines Companies

Cloudera

The more an enterprise wants to know about itself and its business prospects, the more data it needs to collect and analyze. Additionally, the more data it collects and stores, the better its ability to know customers, to find new ones, and to provide more of what they want to buy. Sounds simple, but a surprising majority of U.S. companies (about two-thirds, according to CIO.com ) are only now getting tuned in to become fully functioning data-driven enterprises by starting new initiatives, scali

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Big Data Holds the Key to Television and Online Video Production

Smart Data Collective

Hacker Moon published an article talking about the ways that AI and big data are changing the future of the video production industry. Both television and online media outlets are benefiting from these advances. Connectivity and computing power have improved dramatically in recent years. This has made big data accessible to more and more industries.

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Your Guide to Object Detection with Detectron2 in PyTorch

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Object detection is one of the popular applications of deep learning. Let’s start by considering a real-life example. Most of you would have used Google Photos in your phone, which automatically categorizes your photos into groups based on the objects present in them under […].

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Decrease Frustration and Increase Anticipation With AutoML

Dataiku

During the 2021 Dataiku Product Days, Krishna Vadakattu, senior product manager at Dataiku and Christopher Peter Makris, lead data scientist at Dataiku, presented some of Dataiku’s AutoML features and applied them to a predictive analysis use case. This blog post will walk you through this case study to give you an idea of how AutoML can increase your anticipation abilities.

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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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Applying Data Visualization Principles to Your Business: A Before/After One-Pager Makeover

Depict Data Studio

Lillian Haley, Ph.D., MSW, ChFC® is the president and owner of Haley Evaluation & Research Services (HERS). She’s a Depict Data Studio student and when she shared her before/after makeover during our graduation ceremony, I knew I wanted to showcase her work. Keep up the great work, Lillian! – Ann. —– I discovered Ann’s data visualization work at the 2016 American Evaluation Association (AEA)’s annual conference held in Atlanta, Georgia.

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Amy D. Grubb: Communication is Key in Digital Transformation

DataRobot

Amy D. Grubb joined Ben Taylor, Chief AI Evangelist at DataRobot, on the More Intelligent Tomorrow podcast to discuss the difficulties of digital transformation and the role of I-O psychology in a large government environment. Trained as an industrial and organizational psychologist, with a Ph.D. from the University of Houston, Amy Grubb has worked at the Federal Bureau of Investigation for more than 22 years.

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Trees in Data Structure Every Data Scientist Should Know About

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Data structures refer to the pattern of data arrangement on a disK that allows for convenient storage and display in the computing domain. They are related to the field of data science, which is expected to be a lucrative career choice in 2021. […]. The post Trees in Data Structure Every Data Scientist Should Know About appeared first on Analytics Vidhya.

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GraphDB Users Ask: Do I Need to Secure All My Workers When I’m Deploying GraphDB in a Cluster With SSL?

Ontotext

ONTOTEXT ANSWER: This one is up to your own decision. At least partially. Let us explain. In short, Java maintains two SSL stores. There’s a keystore and a trust store. The keystore keeps your own certificates that you deploy applications with. The trust store keeps all certificates (and their intermediate certificates) that you trust, but which aren’t your own and you won’t deploy with.

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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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Perception Manipulation in Infographics

TDAN

The purpose of data visualization is to facilitate the perception of information arrays and to identify patterns that are difficult to notice in a text table. To make a useful and powerful infographic, you need to follow the laws and regulations of data visualization. Some violate these laws and use subtle distortions to manipulate users’ […].

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How Humility Can Help Build More Trust in AI

DataRobot

As part of a blog post series on the topic of building trust in AI , we recently talked about how DataRobot organizes trust in an AI system into three main categories: performance, operations, and ethics. In each of these categories is a set of dimensions of trust. The purpose of this blog post is to discuss one dimension of trust in the category of Operations: Humility.

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Decision Tree Algorithm -A Complete Guide

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Till now we have learned about linear regression, logistic regression, and they were pretty hard to understand. Let’s now start with Decision tree’s and I assure you this is probably the easiest algorithm in Machine Learning. There’s not much mathematics involved here. Since […].

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Optimizing Cloudera Data Engineering Autoscaling Performance

Cloudera

The shift to cloud has been accelerating, and with it, a push to modernize data pipelines that fuel key applications. That is why cloud native solutions which take advantage of the capabilities such as disaggregated storage & compute, elasticity, and containerization are more paramount than ever. At Cloudera, we introduced Cloudera Data Engineering (CDE) as part of our Enterprise Data Cloud product — Cloudera Data Platform (CDP) — to meet these challenges.

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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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Three Data Integrity Challenges Blockchain Can Help Solve

Martha Bennett

Does your organization struggle with issues of data integrity? Find out what three of the most common data integrity challenges are and how you can solve them.

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Dataiku Presents: The History of Data Science

Dataiku

After collaborating across several teams with dozens of Dataikers over the past year, we are proud to announce our latest online experience: History of Data Science ! From the pioneers who led the way in the beginning ages of science and mathematics to modern innovators, historyofdatascience.com features the heroes of data science who have shaped the way we live and think today.

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Forecasting Financial Time Series – A Model of MLP in Keras

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction The purpose of this article is to show the process of working with time series from data processing to building neural networks and validating the results. As an example, financial series was chosen as completely random and in general, it is interesting if […]. The post Forecasting Financial Time Series – A Model of MLP in Keras appeared first on Analytics Vidhya.

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Accenture’s Smart Data Transition Toolkit Now Available for Cloudera Data Platform

Cloudera

Cloudera and Accenture demonstrate strength in their relationship with an accelerator called the Smart Data Transition Toolkit for migration of legacy data warehouses into Cloudera Data Platform. Accenture’s Smart Data Transition Toolkit . Data warehousing is the backbone of every data driven organization , providing mission critical analytics. Today, modern data warehousing has evolved to meet the intensive demands of the newest analytics required for a business to be data driven.

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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.