Sat.Feb 29, 2020 - Fri.Mar 06, 2020

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What is an Information Steward, and Why You Should Care

Grooper

Information stewards are the critical link for organizations committed to innovation and maximizing the effective use of data. Haven’t heard the term “information steward” before? If your organization has any kind of data and analytics initiative, then chances are you have people – maybe even an entire department dedicated to managing and integrating data for (and between) software applications to achieve some sort of business outcome.

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Make An Impact: Hidden Reasons Why Your Data Analysis Has No Value

TDAN

In most of our organizations we have people doing data analysis all over the place. From very technical SQL queries and cubes to the more mundane spreadsheet-based number crunching, we have no shortage of data activity going on. It would be too easy to say that the reason organizations fail to fully capitalize on this […].

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Getting Started With Strategic & Operational Reports

datapine

In our information-rich age, a business can accelerate its success by harnessing its organizational data in a way that is both efficient and value-driven. To squeeze every last drop of value from your data, both in an operational and strategic sense, it’s important to leverage the right online reporting tool. When it comes to reporting, the daily running of your business, the plans and methods you formulate to improve the organization will steer your long-term success.

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The Difference Between AI and Machine Learning

DataCamp

What are artificial intelligence, machine learning, and data science? How are they related? Read on to find out where they intersect and diverge.

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Leading the Development of Profitable and Sustainable Products

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

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Data Cleansing Vs. Data Enrichment – What is the Difference?

TDAN

Tucked away in portals across the internet, in different formats, with bad headers, strange encoding, and more – the world of data can be treacherous, and despite ‘data scientist’ being dubbed the sexiest job of the century, every data professional knows that it’s not all glitz and glam. There are plenty of steps between getting […].

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6 Open Source Data Science Projects for Boosting your Resume

Analytics Vidhya

Overview Open-source data science projects are a great way to boost your resume Try your hand at these 6 open source projects ranging from. The post 6 Open Source Data Science Projects for Boosting your Resume appeared first on Analytics Vidhya.

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Analytics Translators, You Have Permission.

Juice Analytics

In our data storytelling workshops, I like to discuss the emerging role of ‘analytics translators.’ McKinsey Global Institute estimates that demand for translators in the United States alone may reach two to four million. ( Source ) But the term "translator" gives the impression that the role is about faithful transformation of data into a human-understandable form.

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The Value of Enterprise Architecture to Innovation and Digital Transformation

erwin

The value of enterprise architecture to innovation management and digital transformation is clear. Innovation management is about quickly and effectively implementing your organization’s goals through the adoption of innovative ideas, products, processes and business models. Most organizations are beginning to realize that to drive business growth and maintain a competitive advantage, innovation needs to be uncovered, documented and socialized rapidly but with care to ensure maximum value.

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6 Essential Data Visualization Python Libraries – Matplotlib, Seaborn, Bokeh, Altair, Plotly, GGplot

Analytics Vidhya

Introduction “Visualization gives you answers to questions you didn’t know you had.” – Ben Shneiderman My day-to-day work as a Data Scientist requires a. The post 6 Essential Data Visualization Python Libraries – Matplotlib, Seaborn, Bokeh, Altair, Plotly, GGplot appeared first on Analytics Vidhya.

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Building Your First Model with Azure Machine Learning

Data Science 101

The first course in the Mastering Azure Machine Learning series has launched. It focuses on building your first model with Azure Machine Learning. This is a great place to start if you are brand new to Azure Machine Learning. In particular, you will learn the following. Create an Azure Machine Learning workspace Create a compute instance for machine learning Use Jupyter Notebooks within that compute Monitor the progress of machine learning experiments you are building.

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Navigating the Future: Generative AI, Application Analytics, and Data

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?

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A Thinker’s Guide to Artificial Intelligence

Perceptual Edge

I just finished reading the book about Artificial Intelligence (AI) that I’ve been craving for years: Artificial Intelligence: A Guide for Thinking Humans , by Melanie Mitchell. More than any other book on this hot but largely misunderstood topic, this book describes AI in clear and accessible terms. It cuts through the hype to present a sane assessment with no agenda apart from a desire to inform.

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Analyzing GDPR Fines – who are largest violators?

KDnuggets

Fines from the GDPR have been rolling in since its inception in 2018. This article investigates who are the largest penalty recipients by country, the amounts, and private individuals.

IT 109
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TensorFlow Serving: Deploying Deep Learning Models Just Got Easier!

Analytics Vidhya

Learn about deploying deep learning models using TensorFlow Serving How to handle post-deployment challenges like swapping between different versions of models using TensorFlow Serving. The post TensorFlow Serving: Deploying Deep Learning Models Just Got Easier! appeared first on Analytics Vidhya.

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Cloud Data Science 9

Data Science 101

Lots of announcements this week, so without delay, let’s get right to Cloud Data Science 9. News. Google Announces Cloud SQL for Microsoft SQL Server Google’s Cloud SQL now supports SQL Server in addition to PostgreSQL and MySQL Google Opens a new Cloud Region Located in Salt Lake City, Utah, it is named us-west3. They are promoting it as the Silicon Slopes region, so that is good news if you or your customers are near that location.

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Get Better Network Graphs & Save Analysts Time

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.

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Women on the rise in Data Science

IBM Big Data Hub

IBM Data Science and AI Elite team members Mehrnoosh Vahdat and Rachael Dottle were just one month into their IBM careers when they received their first assignment last July. . The project jettisoned them into the heart of Africa, where their banking client was looking to surface new business opportunities across the subcontinent. Their mission was to generate a proof of concept designed to enhance the value of data science and inject the results into workflows for business users and clients.

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Why Disciplined Agile?

TDAN

This article explores why you should consider adopting the Disciplined Agile (DA) toolkit from several points of view: Why Should Agile Practitioners Adopt Disciplined Agile? ————————————————————————- There are several reasons why an agile practitioner should be interested in the Disciplined Agile (DA) toolkit: DA is agnostic and pragmatic.

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Learn How to use the Transform Function in Pandas (with Python code)

Analytics Vidhya

Introduction The Transform function in Pandas (Python) can be slightly difficult to understand, especially if you’re coming from an Excel background. Honestly, most data. The post Learn How to use the Transform Function in Pandas (with Python code) appeared first on Analytics Vidhya.

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Fast.AI founder Jeremy Howard Releases Free Benefits: Course Notes Worth $2,000

FineReport

Free course: The good news is: Lecture notes for a $ 2,000 online AI course are now open source! Former Kaggle chief scientist and founder of fast.AI, Jeremy Howard, who has been working on AI education, released free benefits and announced his AI course lectures this spring at the University of San Francisco. The notebook code for the course is now available and for free.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

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.

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In-Memory Data Advantages

Paris Technologies

In-memory database systems are designed explicitly to get the most out of memory and for its performance advantage. Learn about in-memory database and how you can leverage it for analytics.

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Outcome-Based Claims Assignment: The “New Grail” of Insurance

DataRobot

If you’re a commercial insurer, how do you evaluate your claims personnel? How do those evaluations impact your decisions on how to deploy individual adjusters?

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10 Powerful Talks by Women in Data Science [Women’s Day Special!]

Analytics Vidhya

Happy Women’s Day to all the wonderful, curious, and passionate women out there! Analytics Vidhya is celebrating the power of women in data science. The post 10 Powerful Talks by Women in Data Science [Women’s Day Special!] appeared first on Analytics Vidhya.

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IBM Cloud Pak for Data DataOps capabilities grow with innovative technology partners

IBM Big Data Hub

As an open, Kubernetes-based, data and AI platform, IBM Cloud Pak for Data integrates with an array of technology solutions that enhance organizations’ ability to make their data ready for AI.

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How To Get Promoted In Product Management

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.

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The Customer Journey to Decision Optimization

Decision Management Solutions

Balancing key profit drivers such as revenue, risk, & costs is central to success in lending and many other high volume, transactional decisions targeted with Decision Management. The decision improvement lifecycle is central to delivering the full value of decision management. Being able to rapidly and effectively execute decisions, monitor their effectiveness, learn what works (and what does not), and iteratively improve your decision-making results in significant business benefit.

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Three Key Considerations for Solving Property Management’s Financial Reporting Challenges

Jet Global

Do you struggle with your financial reporting on Yardi, and find yourself spending hours downloading data and customizing reports? Are you frustrated with relying on IT or consultants to create your reports, and encountering delays and missed deadlines? Many finance teams using Yardi property management solutions find that they spend excessive amounts of their time on manual reporting tasks, which is exacerbated by the extensive number of reports required for banking and investment accounting.

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One-Hot Encoding vs. Label Encoding using Scikit-Learn

Analytics Vidhya

What is One-Hot Encoding? When should you use One-Hot Encoding over Label Encoding? These are typical data science interview questions every aspiring data scientist. The post One-Hot Encoding vs. Label Encoding using Scikit-Learn appeared first on Analytics Vidhya.

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Accelerate your AI project with an agile approach

IBM Big Data Hub

Artificial intelligence (AI) is revolutionizing everything from customer service in banking to data privacy compliance to elevator maintenance. That’s why businesses and public sector organizations around the world have AI programs on their IT agenda.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

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.

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What Makes Good Data Science?

Dataiku

Different people across an organization might have different definitions for what makes good data science. For data leaders, it might be impact on the business, while for people like data scientists or engineers, it might be more detailed and nuanced - like the quality or accuracy of the model. How can everyone across the organization find common ground for what makes good data science?

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Turning Your Data into a Powerful Story

Jet Global

Since companies spend so much time pulling the numbers together, the strategic value of financial reporting is often lost. Being able to generate an impactful story to motivate and drive performance is now a key component to company strategy and success. Join us on Thursday, March 19 at 2pm local time, for a webinar on how data-driven stories can give leadership the information they need to make more informed decisions.

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The Data Catalog Has Risen

TDAN

If you have been around the IT industry for as long as I have, you have seen technologies and ideas come and go—and sometimes even come back again. This is surely the case with the “new” products that call themselves data catalogs. But before talking about the rise of the data catalog, I will take […].

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Machine Learning for Business Leaders

DataCamp

Find out how buzzwords like machine learning, deep learning, and AI are fundamentally shifting the nature of business, and how you need to think of them to stay competitive.

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The Key to Sustainable Energy Optimization: A Data-Driven Approach for Manufacturing

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. 📊 Join us for a practical webinar hosted by Kevin Kai Wong of Emergent Ene