Analytics Vidhya
FEBRUARY 13, 2020
What is the difference between loc and iloc in Pandas? Put this down as one of the most common questions you’ll hear from Python. The post How to use loc and iloc for Selecting Data in Pandas (with Python code!) appeared first on Analytics Vidhya.
Dataconomy
FEBRUARY 12, 2020
It’s not a lack of data that’s holding companies back from digital transformation. Data is pouring in from more sources than ever. It’s not that analytics aren’t available. Businesses have access to rich descriptive analytics to build profiles that answer the “who” questions and diagnostic analytics to answer the “why”. The post Translating Data into Action to Close the Digital Transformation Gap appeared first on Dataconomy.
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Smart Data Collective
FEBRUARY 13, 2020
Big data is changing the way we live in countless ways. We usually talk about the massive technological advances that AI and other big data technologies have brought to large companies. However, developments in data technology have also led to some important improvements for everyday consumers. One of the biggest benefits of big data is that it saves time.
DataRobot
FEBRUARY 13, 2020
We are excited to announce the first round of program participants in AI for Good: Powered by DataRobot. Welcome Kiva International, DonorsChoose, University of California San Francisco’s Brain and Spinal Injury Center, Anacostia Riverkeeper, and Medical Faculty Mannheim - Heidelberg University to the DataRobot family! We look forward to providing updates on their AI-driven humanitarian use cases throughout the year.
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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?
Analytics Vidhya
FEBRUARY 12, 2020
How many boosting algorithms do you know? Can you name at least two boosting algorithms in machine learning? Boosting algorithms have been around for. The post 4 Boosting Algorithms You Should Know – GBM, XGBM, XGBoost & CatBoost appeared first on Analytics Vidhya.
Alation
FEBRUARY 13, 2020
Modern organizations are always looking for a competitive edge in this rapidly changing era of digital transformations. With research showing that a more diverse team leads to increased revenue, “diversity and inclusion” is on every company’s agenda. Despite this fact, it’s been no secret that tech companies regularly fall below the national average when it comes to diversity of race, gender, and educational background.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
DataRobot
FEBRUARY 12, 2020
Predictive models learn patterns in training data and use that information to predict target values for new data. There are two data sets at play in this process, the training data and the scoring or inference data. The model will work well in production (i.e., produce accurate predictions in line with expectations) when the new inference data is similar to the training data.
Analytics Vidhya
FEBRUARY 11, 2020
Introduction Have you ever struggled to improve your rank in a machine learning hackathon on DataHack or Kaggle? You’ve tried all your favorite hacks. The post What is Bootstrap Sampling in Statistics and Machine Learning? appeared first on Analytics Vidhya.
Alation
FEBRUARY 13, 2020
Incentive Trips: These two words provoke vastly different feelings from different people. Traditionally, incentive trips were exclusively for sales people and executives. They would go to an exotic locale, get a little bit of sun, and celebrate their big wins. Incentive trips were a reward for being top sellers and leading the company. Simple enough.
Smart Data Collective
FEBRUARY 10, 2020
I still remember my college days. Technology was more readily available than ever, but big data was not a thing yet. Students were not using big data to assist with their learning goals. Today, big data is vital to the learning process. A number of companies have been built solely to create big data platforms for students. Business leaders are constantly trying to come up with new ideas on how to make life simpler.
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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.
DataRobot
FEBRUARY 11, 2020
I’m starting the decade with a new adventure as DataRobot’s President and COO.
Analytics Vidhya
FEBRUARY 14, 2020
What’s the best Business Intelligence and Analytics tool in the market? A plethora of data science and business intelligence professionals and organizations have asked. The post Gartner’s 2020 Magic Quadrant is Out! Check out the latest developments in Best Analytics Tools appeared first on Analytics Vidhya.
Alation
FEBRUARY 10, 2020
Next week we’re headed to the annual Gartner Data & Analytics Summit in Sydney, Australia and we’re doing something a bit different at our booth! If you’ve been keeping up with the news, you’ve heard about the destructive bushfires that have burned more than 27.2 million acres across Australia. As a California-based company, we’ve witnessed […].
Smart Data Collective
FEBRUARY 10, 2020
I recently watched the television series “ The Stranger ”. This television show is about a beautiful, witty, young hacker that uses her skills to uncover other people’s secrets to expose. The show has some interesting premises, but it really focuses on the amount of information available to us in the age of big data. Big data has rewritten the rules on private investigating.
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.
Analytics Vidhya
FEBRUARY 13, 2020
Overview This article dives into the key question – is class sensitivity in a classification problem model-dependent? The authors analyze four popular deep learning. The post Is Class Sensitivity Model Dependent? Analyzing 4 Popular Deep Learning Architectures appeared first on Analytics Vidhya.
Analytics Vidhya
FEBRUARY 10, 2020
Overview Convolutional neural networks (CNNs) are all the rage in the deep learning and computer vision community How does this CNN architecture work? We’ll. The post Demystifying the Mathematics Behind Convolutional Neural Networks (CNNs) appeared first on Analytics Vidhya.
Alation
FEBRUARY 13, 2020
Data catalogs have quickly become a core component of modern data management. Organizations with successful data catalog implementations see remarkable changes in the speed and quality of data analysis, and in the engagement and enthusiasm of people who need to perform data analysis. By contrast, organizations without a data catalog often have these questions: What is a data catalog?
Alation
FEBRUARY 13, 2020
Whether we’re speaking to data analysts or CDOs, data people almost instantly understand the value of the Alation Data Catalog. Faces light up when we describe how Alation helps enterprises find, understand, trust, use and reuse data. The response is usually some form of, “exactly, that’s the problem my company needs to solve!” At some level, every enterprise is struggling to connect data to decision-making.
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.
Alation
FEBRUARY 13, 2020
In a recent blog, titled Collaboration and Crowdsourcing with Data Cataloging , I discussed the importance of participation by all data stakeholders as a key to getting maximum value from your data catalog. Many organizations, however, find data catalog adoption—getting people to participate—to be among the biggest challenges to data catalog success.
Alation
FEBRUARY 13, 2020
For the third consecutive year, Alation has been named the top-ranked data catalog in the Dresner Advisory Services Wisdom of the Crowds® Data Catalog Market Study. This achievement is a testament not only to our legacy of helping to create the data catalog category but also to our continued innovation in improving the effectiveness of self-service analytics.
Alation
FEBRUARY 13, 2020
In an earlier blog, I defined a data catalog as “a collection of metadata, combined with data management and search tools, that helps analysts and other data users to find the data that they need, serves as an inventory of available data, and provides information to evaluate fitness data for intended uses.”. From modest beginnings as a means to manage data inventory and expose data sets to analysts, the data catalog has grown in functionality, popularity, and importance.
Alation
FEBRUARY 13, 2020
Data curation is a term that has recently become a common part of data management vocabulary. Data curation is important in today’s world of data sharing and self-service analytics, but I think it is a frequently misused term. When speaking and consulting, I often hear people refer to data in their data lakes and data warehouses as curated data, believing that it is curated because it is stored as shareable data.
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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.
Alation
FEBRUARY 13, 2020
Alation is a hyper-growth startup leading the Machine Learning Data Catalog space with an innovative product, passionate customers, and a team of people all working towards a common goal: to change the way people work with data. We are growing as an organization and hiring top talent. It’s tough to point to just one reason why people choose to join Alation—there are simply too many.
Alation
FEBRUARY 13, 2020
This article is based on a podcast Ron Powell conducted with Sharon Graves, Enterprise Data and BI Tools Evangelist for GoDaddy, about data curation, data stewardship, and data catalogs. Ron is an independent analyst and industry expert for the BeyeNetwork and executive producer of The World Transformed Fast Forward Series. His focus is on business intelligence, analytics, big data, and data warehousing.
Alation
FEBRUARY 13, 2020
Earlier this month in London, more than 1,600 data and analytics leaders and professionals gathered for the Gartner Data & Analytics Summit. It was probably a surprise to no one that artificial intelligence (AI) took center stage. From niche breakout sessions to the packed opening keynote—where “AI” was one of three leading trends along with “data driven” and “privacy”— AI was everywhere.
Alation
FEBRUARY 13, 2020
Today, we’re honored to be named to Constellation Research’s ShortList for Data Cataloging 1 for the fourth consecutive year. In an increasingly noisy data cataloging space, this recognition is a reminder that Alation continues to lead the pack with 100+ customers and a unique solution built on the combination of human collaboration and machine learning.
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.
Alation
FEBRUARY 13, 2020
It’s time for a change. One of our core values here at Alation is to measure our success through customer impact. Since we launched, Alation has made it easier for data consumers to find, understand, and trust relevant datasets. Numerous studies had shown that before we introduced the first Machine Learning Data Catalog , analysts and data scientists would spend more than 80% of their time scrounging around for the right data and trying to make sense of it, instead of actually working with it.
Alation
FEBRUARY 13, 2020
Today, we’re announcing that Alation has closed a $50 million Series C funding led by Sapphire Ventures, with participation from new investor Salesforce Ventures and our existing investors Costanoa Ventures, DCVC (Data Collective), Harmony Partners and Icon Ventures. Following a very successful year of growth in Alation’s business, this announcement marks a milestone for Alation and the enterprise data catalog market.
Alation
FEBRUARY 13, 2020
"It’s also about a cultural change, really motivating people to be creative and innovative, and also giving them the freedom to try out new ideas.". - Andreas Kohlmaier, Head of Data Engineering at Munich Re 1. --> Ron Powell, independent analyst and industry expert for the BeyeNETWORK and executive producer of The World Transformed FastForward Series, interviews Andreas Kohlmaier, Head of Data Engineering at Munich Re.
Alation
FEBRUARY 12, 2020
Hundreds of data sources. Hundreds (even thousands) of data consumers. Millions of datasets. Gone are the days when static metadata repositories and manual curation were enough (if they ever really were). To keep up with the rapid influx of data, the many disparate data environments, and the rise in self-service analytics users, enterprises need an enterprise data catalog to drive the business forward with data, and ensure compliant, accurate data use.
Speaker: Anne Steiner and David Laribee
As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.
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