Wed.Oct 07, 2020

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Exploratory Data Analysis – The Go-To Technique to Explore Your Data!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Exploratory Data Analysis(EDA) is one of the most underrated and under-utilized. The post Exploratory Data Analysis – The Go-To Technique to Explore Your Data! appeared first on Analytics Vidhya.

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DataOps: Managing the Process and Technology

David Menninger's Analyst Perspectives

For decades, data integration was a rigid process. Data was processed in batches once a month, once a week or once a day. Organizations needed to make sure those processes were completed successfully—and reliably—so they had the data necessary to make informed business decisions. The result was battle-tested integrations that could withstand the test of time.

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Boost Model Accuracy of Imbalanced COVID-19 Mortality Prediction Using GAN-based Oversampling Technique

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The article covers the use of Generative Adversarial Networks (GAN), an. The post Boost Model Accuracy of Imbalanced COVID-19 Mortality Prediction Using GAN-based Oversampling Technique appeared first on Analytics Vidhya.

Modeling 291
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Take Advantage Of Operational Metrics & KPI Examples – A Comprehensive Guide

datapine

Using data in today’s businesses is crucial to evaluate success and gather insights needed for a sustainable company. Identifying what is working and what is not is one of the invaluable management practices that can decrease costs, determine the progress a business is making, and compare it to organizational goals. By establishing clear operational metrics and evaluate performance, companies have the advantage of using what is crucial to stay competitive in the market, and that’s data.

KPI 269
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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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Getting Started with Feature Engineering

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview Machine learning algorithms take features of a dataset as input, determine. The post Getting Started with Feature Engineering appeared first on Analytics Vidhya.

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The curse of Dimensionality

Domino Data Lab

Guest Post by Bill Shannon, Founder and Managing Partner of BioRankings. Danger of Big Data. Big data is the rage. This could be lots of rows (samples) and few columns (variables) like credit card transaction data, or lots of columns (variables) and few rows (samples) like genomic sequencing in life sciences research. The Curse of Dimensionality , or Large P, Small N, ((P >> N)) , problem applies to the latter case of lots of variables measured on a relatively few number of sampl

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Diversity and Inclusion in Data Science

Dataiku

Reports of AI gone wrong abound, and Responsible AI has started to take a foothold in business — Gartner has even added Responsible AI as a new category on its Hype Cycle for Emerging Technologies. Yet when talking about solutions, increasing diversity and making data science a more inclusive field unfortunately don’t often top the list. Noelle Silver, Head of Instruction, Data Science, Analytics, and Full Stack Web Development at HackerU , is looking to change that.

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Understanding Data Entities in Microsoft Dynamics 365

Jet Global

For organizations considering a move to Microsoft Dynamics 365 Finance & Supply Chain Management (D365 F&SCM), or for those in the early stages of an implementation project, defining a clear strategy for curating data is a key to developing a comprehensive approach to reporting and analytics. Microsoft offers several native reporting tools for D365 F&SCM: SQL Server Reporting Services (SSRS) is useful for writing simple high-volume reports based on Microsoft Dynamics data, but it’s n

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Exploring FIBO Using the Inference and Property Path Features of GraphDB

Ontotext

Introduction. An ontology or a knowledge graph of any appreciable size requires some effort on the part of the consumer before it becomes a useful tool. Knowledge of the subject domain is always helpful, but rarely sufficient as there are many choices to be made in representing domain knowledge as data in a graph. Aligning the shape of the domain knowledge in your mind with the shape of the knowledge represented in the graph is essential.

Finance 59
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Leveraging the Denodo Platform to Streamline Our Data Infrastructure

Data Virtualization

AXA XL is a subsidiary of the global insurance and reinsurance company Axa. We are headquartered in Stamford, Connecticut, and we have more than 100 offices across six continents. In this post, I’d like to share our experience with the.

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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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Adoption of Automated Sales & Underwriting Strategies can Transform Insurance

bridgei2i

Adoption of Automated Sales & Underwriting Strategies can Transform Insurance. The insurance industry—which, in the US alone, stands at $1.2 trillion, is seeing the volume of insurance transactions growing every year. The unprecedented circumstances surrounding pandemic have increased awareness around insurable risks across different financial losses that can be covered as everyone in the world have faced financial losses like unemployment, travel cancellation, health issues, business interr

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Accelerating Innovation in the Analytic Ecosystem: Accessibility

Teradata

In the final part of this 3-part series on reducing conflict between business & IT to accelerate innovation, we focus on enabling accessibility to data with security & governance.

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How to Control the Real Cost of Financial Reporting

Jet Global

Companies implementing a new ERP system may spend as much as 25 percent of their total budget developing reports. Unfortunately, most ERP software publishers don’t provide user-friendly tools for reporting. That means bringing in high-cost consultants to make modifications and build custom reports or training internal IT staff and allocating a large chunk of their valuable time to the task.