Sat.Oct 19, 2019 - Fri.Oct 25, 2019

4 Ways to Ensure Data Security in Tomorrow's Organisation

DataFloq

Data security in tomorrow's organisations will be fundamentally different than data security today. If you believe that data security today is a challenge, you will be surprised what it will be tomorrow.

Everything You Need To Know About Static, Dynamic & Real Time Reporting

datapine

In the digital age, great businesses are founded on great insight — the data-driven kind. Without access to valuable business data, regardless of your niche and sector, you’ll merely be shooting in the dark when making key commercial decisions.

Data Science Fails: There's No Such Thing As A Free Lunch

DataRobot

When I was young, I took a packed lunch to school every day, and since I grew up in Australia, my packed lunch would include a couple of Vegemite sandwiches. Unless you grew up in Australia, you’ve probably never tasted it. And judging by this American’s first taste reaction of “Oh, that’s bad!”,

Most Data Leaders Are Successfully Driving Organizational Change

Corinium

A fundamental assumption of data science is that making business decisions based on facts yields better and more reliable results than those made using instinct or intuition. But as with any major transformation, translating this premise into new business practices takes time. Data Strategy

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.

Seven Myths About the True Costs of AI Systems

KDnuggets

While there is much excitement today around implementing AI at the enterprise level, the financial costs of this process are often unexpected and underappreciated. These seven myths are crucial lessons learned that executives should know before heading down the road to AI.

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More Trending

What is Enterprise Data Mapping and Why is it Done?

Octopai

How do you get from A to B? If you’re at A but you don’t know where B is, you can either wander around at random in the hopes of stumbling upon B, or you can consult a map. The same is true of enterprise data. Modern enterprises find themselves sitting on mountains of data.

When intuition can help the decision making process

Phocas

Want to live the future backwards? A lesson learned during my course at Stanford is how intuition affects our decision making, positively and negatively. And the need for strategies to manage these feelings.

Deep Learning for Everyone: Master the Powerful Art of Transfer Learning using PyTorch

Analytics Vidhya

Overview The art of transfer learning could transform the way you build machine learning and deep learning models Learn how transfer learning works using. The post Deep Learning for Everyone: Master the Powerful Art of Transfer Learning using PyTorch appeared first on Analytics Vidhya.

Neural Machine Translation

DataFloq

For centuries people have been dreaming of easier communication with foreigners. The idea to teach computers to translate human languages is probably as old as computers themselves. The first attempts to build such technology go back to the 1950s.

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.

The Language Of Requirements Documents - When To Use Shall, Will & Should.

BA Learnings

A well-written business requirements document (BRD) forms the basis of successful project documents and can be used to verify that all stakeholders are on the same page. Three words that are often misunderstood and therefore misused in requirement documents are shall , should and will.

Business analytics for beginners

Phocas

If you are new to data analytics, it can be difficult to know where to start. There is so much information out there that it can be difficult to understand for people without an IT degree or years of experience with analytics solutions.

You Can’t Miss these 4 Powerful Reinforcement Learning Sessions at DataHack Summit 2019

Analytics Vidhya

“If intelligence was a cake, unsupervised learning would be the cake, supervised learning would be the icing on the cake, and reinforcement learning would. The post You Can’t Miss these 4 Powerful Reinforcement Learning Sessions at DataHack Summit 2019 appeared first on Analytics Vidhya. Analytics Vidhya Reinforcement Learning DataHack Summit 2019 reinforcement learning platforms Reinforcement Learning podcast reinforcement learning tools

6 Tips for Image Optimization for Data Visualization

DataFloq

Visuals are used to attract attention but also to provide information. Data visualization is a basic skill of data scientists, helping them tell the story behind the data. . The popularity of infographics and data visualizations on the Internet has grown exponentially in the last years.

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?"

3 Ways Machine Learning Can Help You Know Your Customer

Tamr

I spent many years in the AML and KYC analytics industry where I created analytics and metrics to help identify deficiencies of risk rating methods and converted data into meaningful insight into customer behavior and potential red flags.

Cybersecurity Starts with You: Celebrating National Cybersecurity Awareness Month

Sisense

Ensuring safety and privacy in today’s online environment is an enormous task. It’s way too much for a single person or a single company to manage on their own. As a security professional, I am personally encouraged by continual reminders that I’m not fighting this battle alone. .

Exclusive Interview with Dr. Sunil Kumar Vuppala – A Deep Learning Expert and IoT Veteran

Analytics Vidhya

Introduction There are multiple ways to learn data science, machine learning and deep learning concepts. You can watch videos, read articles, enroll in courses, The post Exclusive Interview with Dr. Sunil Kumar Vuppala – A Deep Learning Expert and IoT Veteran appeared first on Analytics Vidhya. Career career data science career data science interview data science thought leader deep learning interviews

How to Improve MySQL AWS Performance 2X Over Amazon RDS at The Same Cost

DataFloq

AWS is the #1 cloud provider for open-source database hosting, and the go-to cloud for MySQL deployments.

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.

Military IT: The Three Best Ways to Scale & Mature

Dataiku

The United States government is the single largest buyer in the world , spending over $500 billion each year, with a substantial percentage of that spend allocated to IT procurement. However, despite spending large sums of money procuring and sustaining IT, the U.S.

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How Lucy Group Transformed Reporting Processes and Migrated from Hyperion Enterprise using CXO Software

Jet Global

The Group Finance team at Lucy Group Ltd. previously produced hard copy financial report packs, many numbering more than 100 pages and sent overseas. The result? Static reports that were time consuming and costly to produce, leaving little time to analyze the business.

Regime Shift Models – A Fascinating Use Case of Time Series Modeling

Analytics Vidhya

This article is written by Sonam Srivastava. She is one of the eminent speakers at DataHack Summit 2019, where she will be talking about. The post Regime Shift Models – A Fascinating Use Case of Time Series Modeling appeared first on Analytics Vidhya. Python Time Series regime shift modeling regime shift models stock market prediction time series python

How Artificial Intelligence Is Impacting the Healthcare Industry

DataFloq

The influx of disruptive technologies in many industries has brought massive transformation. The healthcare industry is no different when it comes to technological intervention taking over its functioning.

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.

5 Advanced Features of Pandas and How to Use Them

KDnuggets

The pandas library offers core functionality when preparing your data using Python. But, many don't go beyond the basics, so learn about these lesser-known advanced methods that will make handling your data easier and cleaner. 2019 Oct Tutorials, Overviews Data Preparation Pandas Python

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Challenges in Migrating On-Premise to Cloud Microsoft 365

BizAcuity

Some of the key reasons for businesses to move to cloud are mobility, agility, progressive technology, and a need to stay abreast with the industry trends today. Businesses need powerful solutions that allow them to be more competitive, and there are several options cloud available to them today.

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Top 5 Winning Solutions and Approaches from AmExpert 2019 – Feature Engineering Special!

Analytics Vidhya

Overview Presenting the top five winning solutions and approaches from the AmExpert 2019 hackathon The problem statement was from the retail industry and geared. The post Top 5 Winning Solutions and Approaches from AmExpert 2019 – Feature Engineering Special! appeared first on Analytics Vidhya. Analytics Vidhya Data Science data science hackathon datahack feature engineering Hackathon retail hackathon

Red Hat Report: IoT Outsourcing Trend Accelerating in 2019

DataFloq

IoT projects are becoming increasingly popular these days. TechTarget posted an article earlier this year on developments in the field. They cited research indicating that 70% of businesses intend to incorporate IoT technology into their operating models in the next five years.

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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.

A Day in the Life of an Analyst at Gartner IT Symposium XPO 2019 USA – Day 4 Oct 24 2019

Andrew White

Woke up and yes, as expected, felt tired. My Oura ring gave me the bad news: Sleep score: 78 (down from 86 yesterday). Restlessness and a lower than normal resting heart rate suggest over tiredness and fitful sleep patterns. I can vouch for that! 6.20am Mused.

Harnessing Semiotics and Discourse Communities to Understand User Intent

KDnuggets

Semiotics helps us understand the importance of context to determining the meaning of a term and discourse communities provide us with the background context (mental model) by which to correctly interpret its meaning correctly. 2019 Oct Tutorials, Overviews AI Deep Learning Intent NLP NLU

3 Ways Machine Learning Can Help You Know Your Customer

Tamr

I spent many years in the AML and KYC analytics industry where I created analytics and metrics to help identify deficiencies of risk rating methods and converted data into meaningful insight into customer behavior and potential red flags.