Mon.May 18, 2020

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Running Low on Time? Use PyCaret to Build your Machine Learning Model in Seconds

Analytics Vidhya

Overview PyCaret is a super useful and low-code Python library for performing multiple machine learning tasks in double-quick time Learn how to rely on. The post Running Low on Time? Use PyCaret to Build your Machine Learning Model in Seconds appeared first on Analytics Vidhya.

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What to Do When AI Fails

O'Reilly on Data

These are unprecedented times, at least by information age standards. Much of the U.S. economy has ground to a halt, and social norms about our data and our privacy have been thrown out the window throughout much of the world. Moreover, things seem likely to keep changing until a vaccine or effective treatment for COVID-19 becomes available. All this change could wreak havoc on artificial intelligence (AI) systems.

Risk 359
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Data, Analytics And Insights Investments Produce Tangible Benefits. Yes, They Do.

Boris Evelson

If you set out to build a boil-the-ocean business case for why to invest in data, analytics and insights initiatives – stop. Use your precious time to instead focus on prioritizing the investment categories across where you are in your business insights maturity. Because they will yield tangible benefits – both top and bottom-line benefits. […].

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Scaling AI at Lufthansa: A Think digital 2020 spotlight

IBM Big Data Hub

In the airline industry, timing and synchronization are everything when it comes to the customer experience. Mitigating unforeseen circumstances against customer expectations and good old supply and demand are all issues well within the wheelhouse of AI’s predictive capabilities. It’s no wonder that Deutsche Lufthansa AG, Germany’s largest airline, recognized early on that with the right data and AI strategy, it could enhance the customer experience and better empower its employees while achievi

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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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3 Tahap Menuju Analisis Finansial yang Efektif

FineReport

Secara umum, laporan finansial dapat menampilkan situasi finansial perusahaan, hasil kinerja, dan arus kas. Tapi, ini hanyalah konsep buram karena data asli tidak dapat “berbicara” dan Anda tidak dapat mengetahui kesimpulan hanya dari data finansial. Untuk membuat data tersebut “berbicara”, menampilkan situasi finansial perusahaan dan masalah, Anda perlu menganalisis laporan finansial secara efektif dan menampilkannya dengan bentuk dan metode yang benar.

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We’re Midway Through DataCamp’s Free Week!

DataCamp

We’ve seen explosive growth in activity on DataCamp during our first-ever Free Week—we're breaking some of our longstanding records on an almost daily basis.

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5 Important KPIs During Economic Downturns

Jet Global

In the immediate aftermath of the coronavirus pandemic, companies scrambled to adapt. Now into the next phase of this unprecedented event, companies have worked out some of the initial kinks of working remotely and preserving business continuity. With that important work done (or in progress), companies can start examining the effects of the pandemic on the business thus far and predicting the impact in the future.

KPI 59
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5 Reasons to Enable a Remote Workforce with DaaS

CDW Research Hub

Companies across the globe are no longer asking if they should allow their employees to work remotely, but rather how they can enable a remote workforce. Even before the current pandemic, the demand for a remote workforce was on the rise. Natural disasters and the shifting culture of today’s workforce—where work-life balance and flexibility reign supreme—are pushing us to rethink how we operate.

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Integrated Customer Engagement: The Need of the Hour!

bridgei2i

Integrated Customer Engagement: The Need of the Hour! The current COVID-19 pandemic has spread waves of uncertainty across businesses and their customer base. As the crisis continues to unfold, it is paramount that B2B companies keep their customers engaged through the economic situation. How these B2B companies plan to engage their customers today, will determine the success of these enterprises tomorrow, at the dawn of a COVID-free world.

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Data, Analytics, And Insights Investments Produce Tangible Benefits — Yes, They Do

Boris Evelson

If you set out to build a “boil the ocean” business case for why to invest in data, analytics, and insights initiatives — stop. Use your precious time to instead focus on prioritizing the investment categories across where you are in your business-insights maturity, because they will yield tangible benefits — both top- and bottom-line […].

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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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On the Hunt for Patterns: from Hippocrates to Supercomputers

Ontotext

Ever since Hippocrates founded his school of medicine in ancient Greece some 2,500 years ago, writes Hannah Fry in her book Hello World: Being Human in the Age of Algorithms , what has been fundamental to healthcare (as she calls it “the fight to keep us healthy”) was observation, experimentation and the analysis of data. The entire history and practice of modern medicine, argues Fry, is built on finding patterns in data.

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Global Banking & Finance Review: What Story Does the Office of the CFO Need to Tell Now?

Jet Global

The Office of the CFO sits at the heart of business strategy if it is operating productively and effectively. But how do you get to that level, particularly during uncertain times? In our world, the most successful finance teams and CFOs are champions of something called “financial intelligence,” which underpins everything they do. Financial intelligence isn’t software: It’s how best-in-class finance teams operate.

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Root Cause Analysis in Seconds: What You Need to Know

Octopai

Raise your hand if you’ve been in the following situation. On second thought, raise your hand if you haven’t been in this situation: It’s time for the annual business review with senior company executives. The finance team is behind on the year-end accounting, and it’s shutting the window you have to generate business review materials. Finally, the accounting close is completed and the data is loaded to the data warehouse from which you generate the reports.

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How Knowledge Graphs Boost the Benefits of Analytics

Sisense

Blog. Every company is becoming a data company. In Data-Powered Businesses , we dive into the ways that companies of all kinds are digitally transforming to make smarter data-driven decisions, monetize their data, and create companies that will thrive in our current era of Big Data. At Sisense, we help organizations thrive in a data-driven world by making their data easily accessible to as many people as possible.

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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.