Sat.Oct 05, 2019 - Fri.Oct 11, 2019

How To Make Stunning Dashboards & Take Your Decision Making To The Next Level


If you want to convey crucial information to decision-makers in the easiest and most effective way possible, you need to embrace the power of interactive dashboards.

Why the ‘why way’ is the right way to restoring trust in AI


As so many more organizations now rely on AI to deliver services and consumer experiences, establishing a public trust in the AI is crucial as these systems begin to make harder decisions that impact customers. 2019 Oct Opinions AI Explainability GDPR Trust XAI


The Rise of Enterprise-Wide AI Adoption


Machine learning (ML) is driving AI adoption in business, with 80% of data and analytics leaders reporting that their organizations have already implemented ML initiatives, according to new Corinium research. AI & Machine Learning

How AI Imperfections Can Help Us


Artificial intelligence (AI) is improving in astounding ways. The systems that use it can often diagnose illnesses more accurately than physicians with decades of experience or determine the content of images and then automatically tag them for easier retrieval later.

Using a Machine Learning Data Catalog to Reboot Data Governance

Speaker: David Loshin, President, Knowledge Integrity, Inc, and Sharon Graves, Enterprise Data - BI Tools Evangelist, GoDaddy

Traditional data governance fails to address how data is consumed and how information gets used. As a result, organizations are failing to effectively share and leverage data assets. Join David Loshin and Sharon Graves as they discuss the need to think about data governance with end users in mind, and explore how a machine learning data catalog can help.

Deployed your Machine Learning Model? Here’s What you Need to Know About Post-Production Monitoring

Analytics Vidhya

Overview What are the next steps after you’ve deployed your machine learning model? Post-deployment monitoring is a crucial step in any machine learning project. The post Deployed your Machine Learning Model? Here’s What you Need to Know About Post-Production Monitoring appeared first on Analytics Vidhya. Data Science deployment machine learning model deployment model monitoring

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Why Data Leaders Should Prioritize Customer Insights


There’s almost no limit to what you can do with data-driven technologies. From combing the night sky for habitable planets to finding overlooked discoveries in old scientific data, the potential applications are as broad as the human imagination. Insights & Analytics

Why We Should Be Careful When Building AI


Artificial intelligence offers a lot of advantages for organisations by creating better and more efficient organisations, improving customer services with conversational AI and reducing a wide variety of risks in different industries.

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A Detailed Guide to the Powerful SIFT Technique for Image Matching (with Python code)

Analytics Vidhya

Overview A beginner-friendly introduction to the powerful SIFT (Scale Invariant Feature Transform) technique Learn how to perform Feature Matching using SIFT We also showcase.

Activation maps for deep learning models in a few lines of code


We illustrate how to show the activation maps of various layers in a deep CNN model with just a couple of lines of code. 2019 Oct Tutorials, Overviews Architecture Deep Learning Neural Networks Python

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.

Leveraging Big Data With State-Of-The-Art Business Dashboards

Smart Data Collective

There are a lot of ways that organizations can leverage big data. Most of them don’t have difficulty collecting the data they need to make more informed decisions. However, they often struggle to conceptualize the data and present it in a format that supports their conclusions.

Can the Internet be Decentralized by Using Blockchain Technology?


Various authorities representing both government agencies and the interests of private business seem to be fighting to control access to the Internet. As a result, more web experts have called for decentralization than ever before.

7 Amazing NLP Hack Sessions to Watch out for at DataHack Summit 2019

Analytics Vidhya

Picture a world where: Machines are able to have human-level conversations with us Computers understand the context of the conversation without having to be. The post 7 Amazing NLP Hack Sessions to Watch out for at DataHack Summit 2019 appeared first on Analytics Vidhya.

10 Free Top Notch Natural Language Processing Courses


Are you looking to learn natural language processing? This collection of 10 free top notch courses will allow you to do just that, with something for every approach to learning NLP and its varied topics. 2019 Oct Tutorials, Overviews NLP Oxford spaCy Stanford U.

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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?"

Big Data In Hockey Takes The Sport By Storm

Smart Data Collective

While sports analytics is hardly a new idea, how it is being used in hockey has changed dramatically. Coaches no longer have to wait for newspapers to print out statistics. Fans are not left to wonder how their favorite players are truly excelling. What has brought about this change? Big data.

The Impact of Blockchain on the Work of Legal Firms


Among the many industries that have already been touched by blockchain, the legal sector is perhaps one of the most active adopters of this technology.

Hands-On Introduction to Web Scraping in Python: A Powerful Way to Extract Data for your Data Science Project

Analytics Vidhya

Overview Web scraping is a highly effective method to extract data from websites (depending on the website’s regulations) Learn how to perform web scraping.

The 4 Quadrants of Data Science Skills and 7 Principles of Marie Kondo approach to Data Visualization


As a data scientist, your most important skill is creating meaningful visualizations to disseminate knowledge and impact your organization or client. These seven principals will guide you toward developing charts with clarity, as exemplified with data from a recent KDnuggets poll.

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.

Integrating Sinatra Into Ruby To Expedite Application Development

Smart Data Collective

Sinatra is a great web application library. It can be used to streamline development in Ruby and several other programming languages.

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The Future of Data: Iot-Connected Smart Homes for an Aging Population


A few short decades ago, Americans assumed that the last years of their lives would be spent in a nursing facility or other senior living environment. Today, more seniors plan to age in place, which means that they plan to live in their own homes as long as they are able.

3 Things CDOs Need to Know about Data Mastering at Scale


As a Chief Data Officer (CDO), you can recognize that while traditional Master Data Management (MDM) techniques might have worked well for the type and scale of data mastering challenges that existed 15 years ago when the solution came about, today’s data challenges require a different approach. .

Math for Programmers.


Math for Programmers teaches you the math you need to know for a career in programming, concentrating on what you need to know as a developer. 2019 Oct News Book Manning Mathematics Programming


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.

Clustering in R

Domino Data Lab

This article covers clustering including K-means and hierarchical clustering. A complementary Domino project is available. Introduction. Clustering is a machine learning technique that enables researchers and data scientists to partition and segment data.

How To Avoid Cloud Vendor Lock-In


Long-term business relationships are frequently beneficial for everyone involved, but every now and then a long-term arrangement simply becomes too costly to maintain.

Artificial Intelligence and the Knowledge Graph


What is AI? Defining artificial intelligence is tricky. Firstly, we aren’t agreed on what intelligence actually is, natural or artificial.

Data Science is Boring (Part 2)


Why I love boring ML problems and how I think about them. 2019 Oct Opinions Career Advice Data Science Machine Learning

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.

How to Become an Analytics Driven Organization: Lessons from the 2019 Strata Data Conference


The O’Reilly Strata Data Conference is an event that “helps you put big data, cutting-edge data science, and new business fundamentals to work.” Attendees at the event dissect case studies, develop new skills through tutorials, and share best practices in data science.

How Can Blind Spots in AI Help Foster Online Privacy?


Machine learning application has now made it possible to detect cancer cells and create collision-proof self-driving cars. But, at the same time, it also threatens to turn over our notions of what’s hidden and visible. .

How to build smarter data integration in a multicloud world

IBM Big Data Hub

Let’s say you’re the Chief Technology Officer of a bank or retailer struggling to infuse AI that aims to improve customer experiences. You likely face three main challenges