Analytics Vidhya

APRIL 16, 2020

Confusion Matrix – Not So Confusing! Have you been in a situation where you expected your machine learning model to perform really well but. The post Everything you Should Know about Confusion Matrix for Machine Learning appeared first on Analytics Vidhya.

Machine Learning 397

Machine Learning Modeling Analytics Metrics 397

Jedox

APRIL 16, 2020

We are pleased to welcome Mr. Dean Boyer as a guest to the Jedox Blog for our series on “Managing Uncertainty” Mr. Boyer is a Director of Technology Services at Marks Paneth LLP, a premier accounting firm based in the United States. He shares his expertise on how an EPM solution supports managing economic uncertainty, particularly in times of crisis.

Uncertainty 94

Uncertainty Management Forecasting Predictive Modeling 94

Teradata

APRIL 16, 2020

How can Teradata's data analytics platform help communities stop the spread of COVID-19? Find out more.

Data Analytics 124

Data Analytics Analytics 124

IBM Big Data Hub

APRIL 16, 2020

In these uncertain times, organizations need the ability to adjust their plans and forecasts in real time to address changing demands and maintain business continuity. Lengthy, labor-intensive, siloed planning processes, often the result of using spreadsheets or sub-par planning software, are too costly for today’s businesses. As the situation becomes more complex, organizations need to adopt solutions that create more intelligent workflows (increasing efficiencies and accuracy) and produce reli

Marketing 91

Marketing Forecasting Software 91

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.

Experimentation

Dataiku

APRIL 16, 2020

A key principle behind data preparation that data scientists regularly hammer home is that of garbage in, garbage out — if your data is flawed going into a machine learning process, you are bound to receive flawed results, algorithms, and worse, business decisions.

Data Quality 80

Data Quality Machine Learning 80

IBM Big Data Hub

APRIL 16, 2020

The current environment provides an unprecedented challenge for businesses across the globe. More than ever, there is a need to quickly analyze insights and make fast decisions as the market changes. As demands for real-time data increase, businesses with strapped resources need to make advanced analytics capabilities more available and accessible to anyone.

Analytics 81

Analytics Marketing 81

Jet Global

APRIL 16, 2020

Over the last several weeks, the rapid spread of COVID-19 has disrupted nearly every industry, but especially placing hospitals under unprecedented financial as well as clinical stress. Hospitals and health systems are facing a critical challenge to both operations and overall business models. Issues involve everything from operating margins to revenue collection to reimbursement for treating patients with the virus.

Finance 59

Finance Insurance Reporting Operational Reporting 59

Octopai

APRIL 16, 2020

The COVID-19 crisis has resulted in a rapid alteration of our economic landscape. Businesses around the globe have been forced to reassess the way they conduct their operations, even if their methods have been in place for decades. Some business intelligence professionals are not only contributing to their organization’s survival during these difficult times; they are actually helping it thrive.

Metadata 59

Metadata Business Intelligence Uncertainty Data Quality 59

Insight

APRIL 16, 2020

Part 1: Mental Model There is currently a lot of hype around cryptocurrencies, blockchain technology, and decentralized consensus systems. There is also a great deal of confusion around why the hype exists, what the unique value of these systems is, and how one might jump into this ecosystem to try their hand at building something. This, in general, makes it difficult for industry professionals to separate signal from noise.

Technology 56

Technology Risk Publishing Modeling 56

Grooper

APRIL 16, 2020

Data practitioners in healthcare have long been aware of the Health Level Seven International (HL7) data exchange and information standards. This standard, created over 20 years ago, was complicated to implement, and has seen many iterations. The original goal of the standard – to reduce information isolation and variations in how patient data is stored hasn’t changed.

Insurance 52

Insurance Technology IT Data Science 52

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.

Management

Data Virtualization

APRIL 16, 2020

With the advent of digital transformation, the fluidity of data has evolved from slowly changing dimensions to frequently changing data sources and systems. Data pipes have not only become fat and fast, they have also become varied and diverse in.

Digital Transformation 52

Digital Transformation Enterprise Modeling 52

DataRobot

APRIL 16, 2020

According to a recent survey by NewVantage Partners, only 15% of leading enterprises have deployed AI into widespread production. Why so few? For organizations to overcome the hurdles of deploying and managing AI, they have to overcome several major hurdles around model deployment, management, and monitoring, in addition to bridging the gap between IT and data science teams.

Machine Learning 52

Machine Learning Data Science Modeling Enterprise 52

Jedox

APRIL 16, 2020

We are pleased to welcome Mr. Dean Boyer as a guest to the Jedox Blog for our series on “Managing Uncertainty” Mr. Boyer is a Director of Technology Services at Marks Paneth LLP, a premier accounting firm based in the United States. He shares his expertise on how an EPM solution supports managing economic uncertainty, particularly in times of crisis.

Uncertainty 52

Uncertainty Management Forecasting Predictive Modeling 52

erwin

APRIL 16, 2020

We’re excited about our recognition as a March 2020 Gartner Peer Insights Customers’ Choice for Metadata Management Solutions. Our team here at erwin takes great pride in this distinction because customer feedback has always shaped our products and services. The Gartner Peer Insights Customers’ Choice is a recognition of vendors in the metadata management solutions market by verified end-user professionals, taking into account both the number of reviews and the overall user ratings.

Metadata 52

Metadata Management Data Governance Digital Transformation 52

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.

Testing