Sat.Feb 01, 2020 - Fri.Feb 07, 2020

No Data Lineage? No Trust!

Data Virtualization

The awareness of what we know is not just a nice-to-have, but the very essence of knowledge itself. Knowledge does not exist by acts of faith; it requires transparency, trust, and communicability. Knowing something” means knowing the entire path that.

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Top 5 Data Science Trends for 2020


Technology is evolving continuously, and so are we. In the upcoming years, there will be massive growth in the AI and Machine Learning field. There is already a considerable amount of data to be managed, and with new technological advancements, we can utilize big data in many ways.

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Zen and the Art of Data Maintenance: Big Data, More Data, BIG Issue


More, more, more! We are culturally conditioned to want more. More money, more fun, more pleasure, more accomplishment, more intelligence, and yes, more data. There is an idea that if we get more, we will be happier and more successful. The need for more fuels consumerism and business.

Best Practices for Data Science Pipelines


An organization's data changes over time, but part of scaling data efforts is having the ability to glean the benefits of analysis and models over and over and over, despite changes in data.

How to Solve 4 Common Challenges of Legacy Information Management

Speaker: Chris McLaughlin, Chief Marketing Officer and Chief Product Officer, Nuxeo

After 20 years of Enterprise Content Management (ECM), businesses still face many of the same challenges with finding and managing information. Join Chris McLaughlin, CMO and CPO of Nuxeo, as he examines four common business challenges that these legacy ECM systems pose and how they can be addressed with a more modern approach.

7 Factors companies look for when Hiring a Data Scientist


It is a well-known fact that data scientist is among the most sought-after professions of the 21st century.

Data’s Gender Gap is Killing Women


In an ideal world, all the features and functions of society would be accessible and useful for all members of the population. However, it is becoming an increasingly visible fact that more often than not, half of the population isn’t considered when gathering and applying data.

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More Trending

Underfitting vs. Overfitting (vs. Best Fitting) in Machine Learning

Analytics Vidhya

The Challenge of Underfitting and Overfitting in Machine Learning You’ll inevitably face this question in a data scientist interview: Can you explain what is. The post Underfitting vs. Overfitting (vs. Best Fitting) in Machine Learning appeared first on Analytics Vidhya.

Solving the Insurance Industry’s Data Quality Problem


Using data to inform business decisions only works when the data is correct. Unfortunately for the insurance industry’s data leaders, many data sources are riddled with inaccuracies. Data is the lifeblood of the insurance industry.

How to stop losing customers to competitors?


A business that brings in new customers, but is poor at retaining existing customers, is not likely to be operating at optimal performance. Stop losing customers to competitors by following these three simple rules. Job Role - Sales Strategy, Management and Performance

Improving Operational Efficiency with RPA Process Mining


Robotic Process Automation (RPA) Process Mining is being adopted by various organizations to understand how they can automate their Finance, Business Operations, Customer Support, IT and HR processes to improve their business efficiency.

Assessing and Fostering a Culture of Innovation

Speaker: Magnus Penker, CEO & Founder, Innovation360 Group

Welcome to an interactive empowering session on how to sharpen your future through innovation management, which can help guide your company’s goals. During this webinar, Magnus Penker, international thought leader and author, will dive into how to assess and foster culture and capabilities for innovation.

5 Open Source Machine Learning Projects to Challenge your Inner Data Scientist

Analytics Vidhya

Overview Start 2020 on the right note with these 5 challenging open-source machine learning projects These machine learning projects cover a diverse range of. The post 5 Open Source Machine Learning Projects to Challenge your Inner Data Scientist appeared first on Analytics Vidhya.

Big Data Is Shaping These Huge Digital Marketing Trends In 2020

Smart Data Collective

I had an interesting encounter at a young professionals’ group the other day. I ran into the head of an analytics company with a lot of experience in big data. When I talk to people from analytics companies, they usually emphasize the technical aspects of their profession. This man was different.

7 data trends for mid-market managers in 2020


Everyone needs data. For manufacturing , distribution and retail businesses to succeed in today’s competitive market, data analytics has to be in the hands of all business users, from sales and marketing, to operations and logistics­. This will require a major shift in perspective for many companies.

Everything You Need to Know About Warehouse Management Analytics


Warehouse management is one of the many sectors that can benefit from data analytics. Effective warehouse management is critical to ensuring success along the supply chain. Improper organization and inefficient operations can lead to mistakes and delays later in the shipping process.

Encouraging Innovation in an Established Product Culture

Speaker: Richard Cardran, Chief Creative Officer and VP Strategy, HIA Technologies

Innovation is both a process and an outcome. The best way to begin innovating your products is by innovating your internal process. We'll explore the challenges, solutions, and hands-on techniques for becoming a successful "agent of change" within a well-established product culture. We'll examine the importance of UX and user-centric feature analysis, the adaptation of Agile Methodologies to the creative process, as well as a way to drive successful culture change for setting expectations and winning approvals with cross-functional stakeholders. Innovation and Leadership go hand in hand. Join Richard Cardran, Chief Creative Officer and VP Strategy, HIA Technologies, as we assess some case studies to see how to lead with a clear strategy well-defined tactics, and an unbiased understanding of the fundamental question: "why are you innovating?"

Hands-On Tutorial to Analyze Data using Spark SQL

Analytics Vidhya

Overview Relational databases are ubiquitous, but what happens when you need to scale your infrastructure? We will discuss the role Spark SQL plays in. The post Hands-On Tutorial to Analyze Data using Spark SQL appeared first on Analytics Vidhya.

Drug Discovery Needs AI To Discover More Treatments

Smart Data Collective

Improving human health, longevity, and satisfaction are some of the primary purposes of technology. At first glance, artificial intelligence may feel like a step away from our humanity.

What is data analytics?


Phocas creates data analytics software. We have been helping businesses control and leverage their data for nearly 20 years, but for many people, data analytics is a new tool. Companies create information in the form of data. This information is valuable if you can translate it into useful insights.

Why AI is the most Important HR Tech tool?


The world of HR has undergone significant changes in this decade. The primary driver has, of course, been technology.

The Magic of Intent: Start Knowing The Goals of Your Users

Speaker: Terhi Hanninen, Senior Product Manager, Zalando, and Dr. Franziska Roth, Senior User Researcher, Zalando

It's important to know your users - what are their preferences, pain points, ultimate goals? With user research and usage data, you can get a great idea of how your users act. The tricky part is, very few users reliably act the same way every time they use your product. Join Terhi Hanninen, Senior Product Manager, and Dr. Franziska Roth, Senior User Researcher at Zalando, as they explain how they were able to reach a new level of user understanding - by taking their user research and segmenting their users by point-in-time intent. You'll leave with a strategy to change how your product team, and organization at large, understands your users.

How to Join Multiple Dataframes in Python

Analytics Vidhya

The Challenge of Merging Multiple Dataframes in Python Here’s a scenario that trips up almost every fresher and aspiring data scientist: You are working. The post How to Join Multiple Dataframes in Python appeared first on Analytics Vidhya.

Using Big Data With Docker As A Powerful Software Development Platform

Smart Data Collective

Big data is changing the world in tremendous ways. One of the areas where big data is having the largest effect is with software development. A growing number of DevOps platforms are using new data analytics and machine learning tools to boost performance. Docker is one of them.

Using Data to Understand Your Life


In Data Surrounds Us , we take a look at how technology is used to optimize the processes and decisions we make in our professional and personal lives. It won’t come as a shock that working in a data analytics company means data is one of our principal obsessions.

The Dangers of Deepfake Video


It wasn't long ago that a person could cite a video recording as evidence that something occurred. However, that's not the case anymore due to the rise of deepfake video. Deepfakes are pictures, audio recordings or video footage that appear so real that there's no sign of inauthenticity.

Embedding Operational Reports: Everything Product Managers Should Know

Speaker: Dean Yao, Sr. Director of Product Marketing, Logi Analytics

Businesses are run with analytics - but companies continue to struggle with interpreting, analyzing, and distributing data. Operational reports help get information to the people who need it most, in formats they understand, and in a timeframe that matters. Join the webinar to learn how embedding operational reports can give your users a precisely formatted, ready-to-analyze view of their operational activities. World-class software teams are embedding operational reports to empower end users with interactive data visualizations, detailed information, and highly precise formats that can be shared via email, PDF, print, or online.

How to Create a Test Set to Approximate Business Metrics Offline

Analytics Vidhya

Introduction Most Kaggle-like machine learning hackathons miss a core aspect of a machine learning workflow – preparing an offline evaluation environment while building an. The post How to Create a Test Set to Approximate Business Metrics Offline appeared first on Analytics Vidhya.

Disk and Datanode Size in HDFS


This blog discusses answers to questions like what is the right disk size in datanode and what is the right capacity for a datanode. A few of our customers have asked us about using dense storage nodes.

The Benefits of Data Management Automation: 8 Tips to Automate Data Management


As organizations deal with managing ever more data, the need to automate data management becomes clear. Last week erwin issued its 2020 State of Data Governance and Automation (DGA) Report.

Adequately understanding big data


The digital era has brought with it an influx of constantly swirling pools of data discovery and exploration. This modern world that we live in now is more rife with modern marvels like digitalisation and technological advancement than it has ever been.

Your 2-Part Metrics Audit for High-Value Products

Speaker: Sam McAfee, Product Development Consultant, Startup Patterns

You know what they say: what's measured improves. As product managers we're in a golden age of being able to get all sorts of metrics and run all sorts of experiments. But what are your measurements and analytics focused on? Are they really truly objective? Do they contribute to the ultimate vision of your product? And is everybody clear on that vision? Join Sam McAfee, Product Development Consultant, as he takes you through a two-part measurement audit. First, you'll learn how to make sure your measurements actually align with your product strategy. And second, you'll learn how to evaluate your culture of using measurements, so future experiments will more consistently provide high-value results.

Who is the Best IPL Batsman to Bat with? Finding the Answer with Network Analysis

Analytics Vidhya

Introduction Did you know that the Indian cricket team relies heavily on data analytics to decide their strategy for an upcoming match? Batsmen are. The post Who is the Best IPL Batsman to Bat with? Finding the Answer with Network Analysis appeared first on Analytics Vidhya.

Cloud Provides a Secure Central Data Hub in Healthcare

Perficient Data & Analytics

Previously , I introduced the cloud’s ability to modernize healthcare data and analytics. This blog outlines cloud as a secure and central data hub.

How Florida State University is Boosting Student Success and Addressing Data Challenges


For public universities, metrics such as retention rate and graduation rate are important indicators for standing out in the competitive landscape. These success metrics are paramount to bringing in more students, making them successful, and continuing to grow a strong alumni network.

Do You Know the Vital Steps to Programmatic Advertising Success?


In today’s digital world, programmatic advertising plays an essential role in the digital transformation of how businesses perform, succeed and hold on to customers. It is the automated buying and selling of online advertising that makes transactions efficient and more effective.

Buyer’s Guide for Embedded Analytics

Selecting the right embedded analytics technology in a crowded market filled with sub-categories can be a daunting task. This eBook discusses the top evaluation criteria buyers of embedded analytics need to consider.