Sat.Aug 22, 2020 - Fri.Aug 28, 2020

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Modernizing Data Architectures

Data Virtualization

Recently, we have seen the rise of new technologies like big data, the Internet of things (IoT), and data lakes. But we have not seen many developments in the way that data gets delivered. Modernizing the data infrastructure is the.

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How to use SQL with Pandas?

MLWhiz

Pandas is one of the best data manipulation libraries in recent times. It lets you slice and dice, groupby, join and do any arbitrary data transformation. You can take a look at this post, which talks about handling most of the data manipulation cases using a straightforward, simple, and matter of fact way using Pandas. But even with how awesome pandas generally is, there sometimes are moments when you would like to have just a bit more.

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What is Better for Data Science Learning and Work: Julia or Python?

Analytics Vidhya

Introduction Python has been around since the 1990s, and now it’s one of the most popular programming languages in the world. The reason why. The post What is Better for Data Science Learning and Work: Julia or Python? appeared first on Analytics Vidhya.

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Guide: Adapting to rapid change - Partnered content with Zendesk

Corinium

These days, getting customer support right is more important than ever. Companies must go above and beyond to meet the needs of their customers, even as budgets tighten and workloads rise. How can smaller teams punch above their weight to deliver exceptional customer service, even during times of rapid change? We looked at how more than 13,000 small and mid-sized businesses worldwide have been able to meet the challenges of 2020 and emerge with stronger, leaner support teams.

Reporting 195
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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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The Future Of The Telco Industry And Impact Of 5G & IoT – Part II

Cloudera

In part 2 of the series focusing on the impact of evolving technology on the telecom industry, we sat down with Vijay Raja, Director of Industry & Solutions Marketing at Cloudera to get his views on how the sector is changing and where it goes next. Hi Vijay, thank you so much for joining us again. To continue where we left off, as industry players continue to shift toward a more 5G centric network, how is 5G impacting the industry from a data perspective?

IoT 112
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Hadoop Data Mining Tools Can Enhance The Value Of Digital Assets

Smart Data Collective

The digital marketing field has become far more datacentric in recent years. Before the turn of the century, the reliance on data technology was little more than nonexistent. It was primarily limited to handling the backend computations needed to handle the bandwidth of large websites. Web developers utilized data to some capacity as well, but marketers rarely considered doing so.

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Use of Modeling and Simulation for Understanding COVID-19 Dynamics

Teradata

This post presents a simulation framework that leverages several mathematical models to simulate the spread of diseases such as COVID-19 in urban environments.

Modeling 113
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Data Integrity, the Basis for Reliable Insights

Sisense

Blog. We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. Uncomfortable truth incoming: Most people in your organization don’t think about the quality of their data from intake to production of insights.

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Cloud-Based Supply Chain Risk Management Is Key To A Company’s Future

Smart Data Collective

Cloud technology is leading to a number of disruptive changes for many companies all over the world. One of the areas where cloud technology has had a large impact is with supply chain management. There is a great article on Medium about the importance of moving your supply chain to the cloud. There are many reasons that this is important if you want to minimize disruption to your supply chain in 2020.

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6 Top Tools for Analytics and Business Intelligence in 2020

Analytics Vidhya

Overview Analytics and Business Intelligence provide comprehensible view of the company and derive actionable insights. We’ll discuss 6 top business intelligence tools that you. The post 6 Top Tools for Analytics and Business Intelligence in 2020 appeared first on Analytics Vidhya.

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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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Juice Analytics Celebrates Women's Equality Day

Juice Analytics

Today, August 26th, 2020 we will be observing Women’s Equality Day. In an effort to show off the talented and diverse women that we have working at Juice, we invited several of our employees to talk about equality and what it means to be a woman in tech. We asked for these women to answer the following questions: What does equality mean to you? What is your experience in being a woman in tech?

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Route Optimization for a leading FMCG company

bridgei2i

Case study: Route Optimization for a leading FMCG company. Business Context. The client is a leading FMCG company with a strong foothold in different market regions across India. Given the large demand for its products, they wanted to optimize the number of salesmen and their travel costs, given different constraints. How BRIDGEi2i Delivered Value? BRIDGEi2i’s solution helped the business in efficient beat planning for salesmen and the delivery of the products with the available resources.The Br

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Serious About Migrating to the Cloud? Sirius Can Help

CDW Research Hub

There are a lot of choices and pressures that go into a company’s decision to migrate their workloads to the cloud, and the decision doesn’t end there. Since there is no one-size-fits-all approach when it comes to cloud migration, companies need a trusted advisor to help with planning, executing and managing the move. Sirius recently helped a client achieve their cloud adoption goals and reach a successful cloud migration.

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A Beginner’s Guide to CAP theorem for Data Engineering

Analytics Vidhya

Introduction We have had significant advances in distributed databases to handle the proliferation of data. This has allowed us to handle increased traffic with. The post A Beginner’s Guide to CAP theorem for Data Engineering appeared first on Analytics Vidhya.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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Connect the Data Lifecycle: The power of data

Cloudera

There’s no doubt that cloud has become ubiquitous, and thank goodness for that in 2020. We wouldn’t have survived the challenges of this year without cloud. It’s supported everything, from the sudden changes in the way we work to the way we access healthcare and even shop for vital goods. While cloud is the vehicle, it’s what sits on it that makes it so valuable — data.

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10 Tips on Getting More Out of Google Analytics

Smart Data Collective

Since its inception, Google Analytics has been one of the top choices for website and online marketing analytics on the web. It’s incredibly robust, offering insights into behavioral data, traffic flow, conversion rates, sales funnel development, and more. It grants access to highly customizable and automated reporting, as well as tight user controls so you can guard and selectively distribute your data.

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Text Classification: The First Step Toward NLP Mastery

Dataiku

Natural Language Processing (NLP) is a wide area of research where the worlds of artificial intelligence, computer science, and linguistics collide. It includes a bevy of interesting topics with cool real-world applications, like named entity recognition , machine translation or machine question answering. Each of these topics has its own way of dealing with textual data.

IT 87
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A Beginner’s Guide to Focal Loss in Object Detection!

Analytics Vidhya

Introduction Object detection is one of the most widely studied topics in the computer vision community. It’s has been breaking into various industries with. The post A Beginner’s Guide to Focal Loss in Object Detection! appeared first on Analytics Vidhya.

Analytics 378
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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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A Layman’s Introduction to GANs for Data Scientists using PyTorch

MLWhiz

Most of us in data science has seen a lot of AI-generated people in recent times, whether it be in papers, blogs, or videos. We’ve reached a stage where it’s becoming increasingly difficult to distinguish between actual human faces and faces generated by artificial intelligence. However, with the currently available machine learning toolkits, creating these images yourself is not as difficult as you might think.

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How To Manage OpenShift Secrets With Akeyless Vault

Smart Data Collective

Developed by RedHat, OpenShift is an enterprise-grade hybrid cloud Kubernetes platform. It is essentially a commercial version of the open source container orchestration system designed to automate the deployment, management, and scaling of containerized applications. OpenShift can be described as a hybrid K8s application platform that operates as a platform-as-a-service (PaaS), which means it is a containerization platform.

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Moving From Raw Data to Business Impact With Kurt Muehmel, CCO at Dataiku

Dataiku

Dataiku recently sponsored and attended VB Transform , a three-day virtual conference hosted by VentureBeat that focuses on best practices and tangible ways that business leaders can gain and maintain a competitive edge in an increasingly AI-driven world.

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Exploratory Data Analysis(EDA) from scratch in Python!

Analytics Vidhya

Introduction Exploratory data analysis is one of the best practices used in data science today. While starting a career in Data Science, people generally. The post Exploratory Data Analysis(EDA) from scratch in Python! appeared first on Analytics Vidhya.

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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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Many is not enough: Counting simulations to bootstrap the right way

Data Science and Beyond

Previously, I encouraged readers to test different approaches to bootstrapped confidence interval (CI) estimation. Such testing can done by relying on the definition of CIs : Given an infinite number of independent samples from the same population, we expect a ci_level CI to contain the population parameter in exactly ci_level percent of the samples.

Testing 83
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Why It’s Okay If Your Data Isn’t the Most Accurate

DataCamp

Optimizing for accuracy can actually cause more harm than good. You must choose your evaluation metric with care.

Metrics 106
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Step-By-Step Guide To Deploying A Data Driven Strategy For Local Search

Smart Data Collective

Big data has led to a number of changes in the digital marketing profession. The market for big data analytics in business services is expected to reach $274 billion by 2022. A large portion of this growth is attributed to the need for big data in the marketing field. It isn’t just large companies using big data and AI to get a competitive edge in marketing.

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How to build a Face Mask Detector using RetinaNet Model!

Analytics Vidhya

Introduction Object detection is a tremendously important field in computer vision needed for autonomous driving, video surveillance, medical applications, and many other fields. We. The post How to build a Face Mask Detector using RetinaNet Model! appeared first on Analytics Vidhya.

Modeling 349
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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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The Advantages Of Live Data-Streaming In The Competitive Financial Services Sector (Part II)

Cloudera

Live data-streaming offers businesses exciting new opportunities to transform the way they operate, leveraging real-time insights to drive better decision making and enhance operational efficiency. To find out more about how live-streaming data might impact the financial services sector, I sat down for a chat with Dinesh Chandrasekhar, Head of Product Marketing in Cloudera’s data-in-motion Business Unit.

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iVEDiX Inc. Extends Alliance with insightsoftware to Deliver Best-in-Class Support For Longview Analytics Customers in North America

Jet Global

Information technology and services provider, iVEDiX, has been selected by insightsoftware to provide subject matter expertise and ongoing customer support to all North American customers on their Longview Analytics platform. iVEDiX was selected to service the Longview Analytics market in this extended partnership because of their unique history with current customers and their deep understanding of the platform, BI strategy, and customer needs.

IoT 80
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Does Data Analytics Help With Selecting An IT Provider?

Smart Data Collective

Data analytics technology plays an important role in the modern consumer decision-making process. Even consumers looking for an IT provider might turn to data analytics technology. We previously talked about how big data can be used to benefit IT. However, it can also be used to help customers make more informed decisions. Using Big Data to Find the Perfect IT Provider.

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How to Create Aggregation Pipelines in a MongoDB Database Using PyMongo

Analytics Vidhya

Overview We will discuss aggregation pipelines in MongoDB. We will see how to use the operator like the match, group, bucket, and facet. The post How to Create Aggregation Pipelines in a MongoDB Database Using PyMongo appeared first on Analytics Vidhya.

Analytics 337
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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.