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

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

datapine

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

KDnuggets

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

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The Rise of Enterprise-Wide AI Adoption

Corinium

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

DataFloq

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.

ABCs of Data Normalization for B2B Marketers

Data normalization. It’s not a far stretch to suggest that the topic isn’t exactly what gets marketers excited in their day-to-day workflow. However, if lead generation, reporting, and measuring ROI is important to your marketing team, then data normalization matters - a lot. In this eBook, we’ll break down the ins and outs of data normalization and review why it’s so critical for your marketing strategies and goals!

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

KPIs for the resilient mid-market CEO

Phocas

In today’s dynamic marketplace, modern CEOs must operate from a new playbook. Resilience and the ability to quickly adapt to mercurial customer demands is the name of the game. Consequently, the modern CEO must have the tools to maintain a competitive advantage. Job Role - Executive KPIs

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Why We Should Be Careful When Building AI

DataFloq

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.

Risk 257

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.

10 Free Top Notch Natural Language Processing Courses

KDnuggets

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 fast.ai NLP Oxford spaCy Stanford U.

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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.

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.

Can the Internet be Decentralized by Using Blockchain Technology?

DataFloq

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.

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.

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

KDnuggets

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.

3 Things CDOs Need to Know about Data Mastering at Scale

Tamr

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. .

The 2019 Technographic Data Report for B2B Sales Organizations

In this report, ZoomInfo substantiates the assertion that technographic data is a vital resource for sales teams. In fact, the majority of respondents agree—with 72.3% reporting that technographic data is either somewhat important or very important to their organization. The reason for this is simple—sales teams value technographic data because it makes essential selling activities easier and more efficient.

The Impact of Blockchain on the Work of Legal Firms

DataFloq

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.

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.

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

KDnuggets

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

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.

The Time-Saving Power of Intent Data for Sales

By using the power of intent data, capturing buyer interest has become more feasible for sales. Not only that, but using it will save immense time during your workflow; a win-win on all fronts.

How Machine Learning Is Bridging the Gap Between Brands and their Customers?

DataFloq

Ever since technology started blooming in the world, we’ve seen disruptions almost everywhere. Be it healthcare, education, food or business, you can easily spot technology manifest in various forms in different sectors.

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.

Introduction to Artificial Neural Networks

KDnuggets

In this article, we’ll try to cover everything related to Artificial Neural Networks or ANN. 2019 Oct Tutorials, Overviews Beginners Gradient Descent Neural Networks

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Artificial Intelligence and the Knowledge Graph

Ontotext

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

How ZoomInfo Enhances Your Database Management Strategy

Forward-thinking marketing organizations have continuously invested in a database strategy for enabling marketing processes. Download this ebook to learn how to maintain a strategy that includes refreshed information, database cleanses, and an accurate analysis at the same time.

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

DataFloq

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.

IoT 208

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

Tamr

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.

Math for Programmers.

KDnuggets

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

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5 Reasons to Love Your JD Edwards Reporting as Much as You Love JDE

Jet Global

Do you love JD Edwards for its flexibility and ease-of-use? But, do you wish its reporting was just as flexible and easy? JD Edwards is a great platform with a justly loyal userbase.

How ZoomInfo Enhances Your ABM Strategy

For marketing teams to develop a successful account-based marketing strategy, they need to ensure good data is housed within its Customer Relationship Management (CRM) software. More specifically, updated data can help organizations outline key accounts for their campaigns. And to begin the targeting process, marketing teams must develop an Ideal Customer Profile (ICP) with appropriate firmographic and behavioral data to ensure they’re going after the correct audience.Download this eBook to learn how to start improving your marketing team's data!

How To Avoid Cloud Vendor Lock-In

DataFloq

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.

Demystifying Artificial Intelligence in the Corporation

Bruno Aziza

Why demystifying AI is critical to business success

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Data Science is Boring (Part 2)

KDnuggets

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

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.

IT 78

Design Thinking for Product Teams: Leverage Human Insight Throughout Development

Product teams must increase their exposure hours with customers—seeing and hearing them. Human insights and the design thinking framework can be applied to your development cycle to help you build better products and experiences for your customers.