Analytics Vidhya
OCTOBER 22, 2020
Overview Data science beginners tend to ask some common questions about their career and learning path Here are 10 such questions with comprehensive answers. The post 10 Questions Every Data Science Beginner Asks (with Answers and Resources) appeared first on Analytics Vidhya.
O'Reilly on Data
OCTOBER 22, 2020
“ On peut interroger n’importe qui, dans n’importe quel état; ce sont rarement les réponses qui apportent la vérité, mais l’enchaînement des questions. “ “ You can interrogate anyone, no matter what their state of being. It’s rarely their answers that unveil the truth, but the sequence of questions that you have to ask. “ – Inspector Pastor in La Fée Carabine, by Daniel Pennac.
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Corinium
OCTOBER 20, 2020
Evaluating new customer service technologies can be overwhelming. With new platforms, deployment methods, and rising customer expectations, the customer service tech ecosystem has grown more and more complex. In this report from Forrester, you’ll read about new ideas and best practices when it comes to finding the right customer service solution for your business.
Paul Turley
OCTOBER 18, 2020
Moving important business data into a data model for analytic reporting can often be a two-edge sword. Data retrieval is fast and can support all kinds of analytic trending and comparisons. But, data in the model may be one or two layers away from the original source data, making it more challenging to compare with familiar user reports. Often the first validation effort after transforming and loading data into the model and then visualizing the initial results is having a business user say " ye
Speaker: John Mansour
If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.
Analytics Vidhya
OCTOBER 17, 2020
Overview Understand what SQL and NoSQL databases are. Go through the prominent difference between SQL and No SQL Databases. This is not an exhaustive. The post SQL vs NoSQL Databases – A Key Concept Every Data Engineer Should Know appeared first on Analytics Vidhya.
erwin
OCTOBER 22, 2020
Thoughts on erwin Insights Day No. 2 Keynote. If you didn’t watch New York Times Best-Selling Author Keith Ferrazzi’s keynote from erwin Insights 2020 , what are you waiting for? I was blown away by Keith’s perspective on “Leading Without Authority” and it got me thinking about my own career, our employees here at erwin, work as we knew it, and work as we’ll know it in a post-COVID world.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Srividya Sridharan
OCTOBER 22, 2020
In 2021, business and IT leaders will be forced to tackle some long-lingering AI challenges head on to successfully emerge from the pandemic. Read Forrester's AI predictions to learn more.
Analytics Vidhya
OCTOBER 18, 2020
Overview Making a successful transition into data science is a tricky prospect Here are 8 things you must know about building your data science. The post 8 Things you Absolutely Should Know Before Starting your Data Science Career appeared first on Analytics Vidhya.
Dataiku
OCTOBER 22, 2020
Dataiku Partner Day is a yearly opportunity to connect with our dedicated partner ecosystem across the globe, share our company strategy, and provide updates on the product roadmap. Partner Day brings together a variety of Dataiku services partners such as system integrators (SIs), consultants, advisory partners, and value-added resellers. With over 130 active partners, the Dataiku partner ecosystem is continuously growing and Partner Day is a valuable opportunity to keep our partner community e
Smart Data Collective
OCTOBER 20, 2020
Data analytics is at the forefront of the modern marketing movement. Companies need to use big data technology to effectively identify their target audience and reliably reach them. Every business needs a go-to-market strategy or the GTM strategy to reach the target customers and stay ahead of their competitors. Big data should be leveraged to execute any GTM campaign.
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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?
Jet Global
OCTOBER 19, 2020
For customers upgrading from Microsoft Dynamics GP or Microsoft Dynamics NAV, Business Central provides an efficient cloud-based ERP platform for growth. As companies consider making the transition to this new platform, however, it’s important that they have a clear vision for reporting and analytics and that they understand how to get the most from their Microsoft Dynamics 365 Business Central (D365 BC) data.
Analytics Vidhya
OCTOBER 21, 2020
Overview Understand the meaning of data lake and data warehouse We will see what are the key differences between Data Warehouse and Data Lake. The post What are the differences between Data Lake and Data Warehouse? appeared first on Analytics Vidhya.
CDW Research Hub
OCTOBER 21, 2020
Sirius was recently named No. 44 on MSSP Alert’s list of the world’s Top 250 managed security service providers (MSSPs) for 2020. In Sirius’ first year participating in the MSSP Alert program, the company was recognized as a top 20% MSSP provider, further exemplifying how its proactive management solutions and services help enterprises mitigate security risks while improving overall operational efficiency and performance.
Smart Data Collective
OCTOBER 20, 2020
Big data is changing the nature of cryptocurrency trading in unanticipated ways. A number of cryptocurrency experts have discovered new ways to use big data to improve the scalability of their networks. Freelancers and other small businesses need to find creative ways to embrace big data. They should look for data-driven strategies to invest in cryptocurrencies.
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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.
Jet Global
OCTOBER 17, 2020
2020 has brought on a myriad of challenges for businesses across every industry, and real estate is no exception. Demand has shifted dramatically, sometimes upward and sometimes down. For certain industries, sales are booming. For others, the disruption has resulted in a slowdown that could last for years. In every case, though, agility is a recurring theme.
Analytics Vidhya
OCTOBER 18, 2020
Overview Get to know the deep learning model we will use and ReLu6 Understand how to get blur background using deep learning Introduction The. The post Generate Background Blur using Deep Learning in Python with this Simple Tutorial appeared first on Analytics Vidhya.
Cloudera
OCTOBER 20, 2020
There are some people who will tell you, “you can do anything you want to do in life”, and then there are some people who can show you that’s true. Otho Lyon – Director of Support, Public Sector – is one of those people. . For over four years, Otho has been Cloudera’s Director of Support – Public Sector. He leads the charge in the support strategy and execution of our most sensitive and secure government agency clients.
Smart Data Collective
OCTOBER 22, 2020
Big data is changing the future of cybersecurity in unanticipated ways. One poll found that 84% of companies felt that big data was critical for preventing cybersecurity attacks. Every organization needs to take all possible precautions to stop cyberattacks. They need to invest in data-driven strategies to stop malware distribution and other online attacks.
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.
Dataiku
OCTOBER 23, 2020
Since we released the Dataiku Community earlier this year, a few members have been pivotal in helping us grow and foster knowledge-sharing with fellow Dataiku DSS users. We’re excited to recognize them today through the launch of a dedicated ambassador program: the Dataiku Neurons !
Analytics Vidhya
OCTOBER 23, 2020
Overview Hadoop is among the most popular tools in the data engineering and Big Data space Here’s an introduction to everything you need to. The post Introduction to the Hadoop Ecosystem for Big Data and Data Engineering appeared first on Analytics Vidhya.
Boris Evelson
OCTOBER 22, 2020
The business intelligence (BI) vendor consolidation trend that started earlier in 2019 continues. Today, TIBCO announced its intent to acquire Information Builders, Inc. (IBI) — one of the oldest players in the market. Want to get the real sense of how far back IBI goes? It was one of the first vendors to offer reporting and analytics on mainframes!
Smart Data Collective
OCTOBER 19, 2020
This summer, a major report on data breaches was released. This report was more concerning than most other reports on data breaches, because it turned out that several free VPN providers had been the target. According to the Sydney Morning Herald, more than 20 million users were affected by the data breach and over 1 billion records were exposed. This was one of the most concerning data breaches in modern history.
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.
Cloudera
OCTOBER 21, 2020
The Insurance industry is in uncharted waters and COVID-19 has taken us where no algorithm has gone before. Today’s models, norms, and averages are being re-written on the fly, with insurers forced to cope with the inevitable conflict between old standards and the new normal. . Take the restaurants of New York City suing their insurers for hundreds of millions of dollars.
Analytics Vidhya
OCTOBER 23, 2020
This article was published as a part of the Data Science Blogathon. Introduction One of the classifiers that we come across while learning about. The post The Mathematics Behind Support Vector Machine Algorithm (SVM) appeared first on Analytics Vidhya.
Jedox
OCTOBER 22, 2020
The term “data analytics” refers to the process of examining datasets to draw conclusions about the information they contain. Data analysis techniques enhance the ability to take raw data and uncover patterns to extract valuable insights from it. Data analytics is the critical first step to take as we acquire data, convert that data into insights, transform those insights into knowledge and lever that knowledge to assist the organization to make those better, faster, smarter business decisions t
Smart Data Collective
OCTOBER 23, 2020
Data analytics is the backbone of modern investing. Stock, bond, crypto and other investors have discovered the powerful advantages of data-driven analysis. We have talked about the benefits of big data in investing before. We felt it was time to delve into the topic in more depth. How Can You Use Big Data to Make Better Investing Decisions? Big data is changing the nature of investing in fundamental ways.
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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.
TDAN
OCTOBER 21, 2020
The term “big data” has been bandied about for a number of years now, and it has gotten to the point where it has been used so much that it is a part of IT culture. It’s hard to specifically define, yet everyone seems to have a good idea what is meant by it; big […].
Analytics Vidhya
OCTOBER 21, 2020
image courtesy Introduction This is probably the 1000th article that is going to talk about implementing regression analysis using PyTorch. so how is it. The post Perform Regression Analysis with PyTorch Seamlessly! appeared first on Analytics Vidhya.
Timo Elliott
OCTOBER 19, 2020
With SAP partner Sapphire Systems in the UK, I did a live web seminar for mid-sized organizations on the theme of Build the Financial Resilience to Weather Uncertainty with Strength and Confidence. I covered 5 concrete steps organizations can take, illustrated with real-world examples: liquidity and cost management, working capital management, operations and logistics, dynamic planning, and human and resource management.
Smart Data Collective
OCTOBER 21, 2020
The concept of email marketing predates the big data phenomenon by at least 20 years. However, data-driven insights have clearly played a profound role in the future of email marketing. Companies need to find new ways to use big data to embrace new email strategies. One of the most important things that they should do is find data-driven approaches to enhance email deliverability.
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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