Tue.Apr 20, 2021

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Trusted AI Cornerstones: Performance Evaluation

DataRobot

AI has moved from the realms of theoretical mathematics and advanced hardware to an everyday aspect of life, decisions big and small. As its development has accelerated and its use proliferated, our requirements for AI systems have gotten more sophisticated. At DataRobot , we define the benchmark of AI maturity as AI you can trust. Unlike an intrinsic quality such as accuracy or even fairness, trust is a characteristic of the human-machine relationship.

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Invert the characteristics of Convolution with Involution

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Convolution operation reigned supreme in the domain of computer. The post Invert the characteristics of Convolution with Involution appeared first on Analytics Vidhya.

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The battle to combat data sprawl: what CIOs need to do now

DataKitchen

The post The battle to combat data sprawl: what CIOs need to do now first appeared on DataKitchen.

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Lessons in Data Storytelling: Relatable and Specific

Juice Analytics

Data & Reality Data is an abstract representation of reality. We take real things, processes, and actions and turn them into numbers. This is useful for analysis. However, it creates a conceptual disconnect from the reality you are interested in explaining. Take these numbers for example: 56,000 people. 840,000 square miles. Those are the population and size of Greenland.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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All in the Data: Elements of a Data Strategy

TDAN

I published an article a few months back that was titled Where Does Data Governance Fit in a Data Strategy (and other important questions). In the article, I quickly outlined seven primary elements of a data strategy as an answer to one of the “other important questions.” The list of elements I used in that […].

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What is Streaming Analytics?

Cloudera

What is Streaming Analytics? Streaming Analytics is a type of data analysis that processes data streams for real-time analytics. It continuously processes data from multiple streams and performs simple calculations to complex event processing for delivering sophisticated use cases. The primary purpose is to present the most up-to-date operational events for the user to stay on top of the business needs and take action as changes happen in real-time.

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Building a Data Governance Business Case

TDAN

When it comes to executing a data governance strategy, there is no standard approach. Of course, there are common methods and tools, but it’s up to each company to decide how best to implement data governance initiatives to achieve the optimum business value, and who is best placed to take the lead. Some business leaders […].

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3 Ways You Can Use Software to Improve Your Trading Decisions

Smart Data Collective

Trading is an exciting and often lucrative way of making money in the stock markets. Those with the requisite skillset can profit from price fluctuations with little more than their laptop and an internet connection. With that said, there is now a myriad of software and trading tools available to help you better evaluate patterns in trading data and spot profitable set-ups with ease.

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Using Predictive Analytics to Improve Employee Safety

TDAN

Employee safety is not exactly a hot topic, nor is it a particularly interesting one. Naturally, it involves a lot of procedures and processes. It’s usually somewhat tedious for all parties involved, until a safety issue actually arises. At this point, all the old procedures will be given a good once-over. Enter predictive analytics, and […].

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Top 10 Inventory Management KPIs

Jet Global

Inventory management was once an opaque process. Companies with vast, complex supply chains didn’t have the data to know exactly, or even very accurately, how inventory moved through their ecosystem. But that’s not the case anymore. Thanks to a constellation of internet-connected and data-driven technologies, companies can now track their inventory with precision.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Why No One Cares about Poor Data Quality

Jim Harris

OCDQ Radio is an audio podcast about data quality and its related disciplines, produced and hosted by Jim Harris. Why does no one care about poor data quality? Because you’re probably measuring data quality without connecting it to your organization’s business processes, applications, or other business uses for enterprise data. During this episode, I discuss how this is accomplished through the implementation of a data governance policy as an executable process comprised of a combination of busi

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Leveraging Data-Driven Strategies for Better — and More Personalized — Customer Experiences

Dataiku

This is a guest post from our friends at Theory+Practice. Theory+Practice is a data science services company at the cutting edge of AI and machine learning that specializes in guiding organizations to make better data-driven decisions, improve processes, and increase internal capabilities.

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Personalizing the Analytics User Experience with Sisense Themes

Sisense

Blog. Seamless, personalized experiences are stickier experiences. If you’re looking to drive up product adoption and usage, personalization can be a key way to do that. Though there are many places in the user journey where you can add personalization, it’s important to keep in mind the role that look and feel play in communicating your brand to your consumers.

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The Book Look: Quick Retrospect

TDAN

Steve Hoberman has been a long-time contributor to The Data Administration Newsletter (TDAN.com), including his The Book Look column since 2016, and his The Data Modeling Addict column years before that. Steve is a good friend and, he and his company – Technics Publications, are the publisher of my book, Non-Invasive Data Governance: The Path […].

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

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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PODCAST: Accelerating Businesses through Data Analytics | Candid Chat with Prithvijit Roy

bridgei2i

PODCAST: Accelerating Businesses through Data Analytics | Candid Chat with Prithvijit Roy. Listening time: 60 minutes. Accelerating Businesses through Data Analytics | Candid Chat with Prithvijit Roy. Catch the CEO and Co-Founder of BRIDGEi2i Analytics Solutions, Prithvijit Roy or Jit as he’s fondly known, in a no-holds-barred interview with the host of The Podium, Akshay Datt.

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Is Junk Metadata a Data Catalog Risk?

TDAN

Many of us know what a hoarder is. There have been shows about individuals who fill their dwellings with what would be viewed as junk ton the average person. Whether they like to collect it, or simply cannot bear to part with it – or for some other reason – they surround themselves with stuff […].

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How To Plan a Successful Datathon

DataCamp

Learn everything you need to know about datathons, from their benefits, how to organize one, and more.

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Detecting Hidden Data Risks

TDAN

Modern airplanes travel the world through all kinds of weather via the use of radar. Oxford Dictionary defines radar as “a system for detecting the presence, direction, distance and speed of an object. Radar is used to indicate there is something that has not yet come to the attention of a person or a group.” […].

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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

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Meeting the Needs of Your Remote Workforce with Ease

Nutanix

Lenovo and Nutanix Deliver a Complete Hosted Desktop Environment for One Monthly Charge