Thu.Jun 03, 2021

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4 Use Cases All Data Scientist Should Learn

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Illustrations of how to address traditional machine learning algorithm queries. Index. The post 4 Use Cases All Data Scientist Should Learn appeared first on Analytics Vidhya.

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MicroStrategy Earns Value Index Rating of Exemplary in Analytics and Data

David Menninger's Analyst Perspectives

We are happy to share some insights about MicroStrategy drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

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Will MLOps change the future of the healthcare system?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Overview: From the advent of modern Science & Technology, Researchers are. The post Will MLOps change the future of the healthcare system? appeared first on Analytics Vidhya.

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The Impact of Digital AI Advances on The New Workplace

Smart Data Collective

Artificial intelligence is the pillar of the new digital technology landscape. Since a growing number of companies are relying on digital technology for a variety of purposes, the impact this will have will be significant. There are a number of indicators that AI is going to be even more important in the near future. The role of the pandemic on the modern workplace cannot be overstated.

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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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Ilan Gleiser: Predicting a World where Data and Technology Solve Economic Inequality

DataRobot

Will the future be a dystopia? A utopia? Or maybe a… protopia? . Those are among the fascinating topics I recently discussed with Ilan Gleiser. Gleiser is founder and CEO of Synarchy AI , where he works with businesses to help them benefit from machine learning and natural-language processing (NLP) to drive economic value, automate processes, and generate insights.

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4 Great Programs Businesses Can Use to Get Accurate Data Results

Smart Data Collective

In 2016 experts projected that the “ big data ” industry would be worth somewhere around $30 billion by 2022. Based on last year’s data, that number has grown to $275 billion, and some experts expect it to be even higher after increases in computer usage and ecommerce due to the COVID pandemic forcing many companies to go remote and many consumers to do their shopping online, where data is collected for every purchase from pizza to a streaming movie.

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Machine Learning Transforms Life Insurance Beyond the Actuarial Process

Smart Data Collective

Many different industries are becoming more reliant on machine learning. The insurance industry is among those that has found new opportunities to take advantage of machine learning technology. Life insurance companies in particular are discovering the wondrous opportunities that AI provides, since this sector faces some unique challenges relative to other insurance offerings.

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New Icon Set Added to the Store

The Data Visualisation Catalogue

For a while, I had been sitting on a load of chart icon designs, which just needed to be adjusted to the right format and uploaded to the collection. Many of these new icon representations of charts are currently not featured on the homepage (but maybe one day they will). However, there are also some alternative designs for charts currently available on the main site.

IT 65
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The Evolving Role of Analytics in Strategic Financial Management

Smart Data Collective

Analytics technology is becoming integral to the field of finance. The market for financial analytics services is projected to be worth over $11 billion within the next five years. Analytics is particularly important for developing strategic financial management policies. Strategic Financial Management or strategic finance is a process to help a company’s finances.

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Enterprise Causal Inference: Beyond Churn Modeling

Dataiku

As machine learning practitioners, we often want to investigate what-if scenarios from our newly trained ML models. For example (and perhaps the most natural question), will we generate greater profit if we increase price? Would this customer have been enticed to purchase more if we had sent her a discount?

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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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When Big Data Meets Big Law – the Role of Data in Legal Services

Smart Data Collective

Many industries are starting to realize the true benefits they can get from analyzing and visualizing the many amounts of data is designed today. More and more conventional industries are starting to look into this direction: big data. One of these industries is the legal industry , with all legal companies and law firms included. There are some questions that legal advisors have: are there any real benefits of big data for law companies ?

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Data Virtualization and the U.S. Federal Data Strategy

Data Virtualization

The U.S. Federal Data Strategy, announced last year, is a call for agencies to modernize their data infrastructures. This sounds complex, time-consuming, expensive, and risky, but with data virtualization, agencies can modernize their data infrastructures with significant agility, improving time-to-value, The post Data Virtualization and the U.S. Federal Data Strategy appeared first on Data Virtualization blog.

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Best Practices for Protecting Your Digital Campus

Nutanix

With cybersecurity attacks on the rise, higher education institutions are increasingly vulnerable to ransomware and other malicious attacks.

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Discover The Power Of Gauge Charts: Definition, Best Practices & Examples

datapine

Table of Contents. 1) What Is A Gauge Chart? 2) Benefits Of Gauge Charts. 3) When To Use A Gauge Chart. 4) How to Create A Gauge Chart. 5) Top 7 Gauge Chart Examples. Data visualization is a fundamental step for successful data analysis. By giving your information a visual context, you make it more understandable and prepared to identify trends, patterns, or problems.

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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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Automated Deployment an SGA

Nutanix

In my previous blog, I outlined how the Nutanix Frame™ Bring Your Own (BYO) Networking capability in Amazon Web Services (AWS) could be used to deploy a Frame account in a manner that would allow it to be connected to an existing private network.

IT 20
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Data Intelligence + Human Brilliance: The Future of the Data Catalog

Alation

Go faster. That’s the message I hear from customers, partners, employees, and investors. Today, I’m excited to share some big news that will allow us to accelerate: Alation has raised $110 million in Series D financing. This brings total funding to $217 million. This also means that Alation is valued at $1.2 billion — a unicorn. Unicorns were once notable for their rarity.

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