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

What is an Information Steward, and Why You Should Care


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?

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


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.

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Getting Started With Strategic & Operational Reports


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.

What is the most prolific cyber threat from IoT devices?


IoT varies from common traditional internet since it doesn’t rely on human intervention to function. It has developed by leaps and bounds in a defined time frame.

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Data Analytics in the Cloud for Developers and Founders

Speaker: Javier Ramírez, Senior AWS Developer Advocate, AWS

You have lots of data, and you are probably thinking of using the cloud to analyze it. But how will you move data into the cloud? In which format? How will you validate and prepare the data? What about streaming data? Can data scientists discover and use the data? Can business people create reports via drag and drop? Can operations monitor what’s going on? Will the data lake scale when you have twice as much data? Is your data secure? In this session, we address common pitfalls of building data lakes and show how AWS can help you manage data and analytics more efficiently.

The Difference Between AI and Machine Learning


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

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


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.

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What Customers Want from Brands in 2020


Customer expectations are a moving target. New technologies, products and business models and an increased awareness of corporate ethics are forcing brands to rethink how they engage with today’s empowered customers.

The Integration of Billboard Advertising and Digital Marketing


Advertising is the concept of creating awareness about a brand, product, or event. Its application has evolved over the years from simple paper posters on the streets to wooden boards, billboards, radio, TV and now online digital advertising.

Use a business intelligence strategy to prepare for supply chain disruption


The full economic impact of the coronavirus is still unfolding, but now is the time for executives and supply chain managers to plan for many scenarios that can play out. A business intelligence strategy is instrumental in helping affected companies recalibrate and adjust.

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 Best Sales Forecasting Models for Weathering Your Goals

Every sales forecasting model has a different strength and predictability method. It’s recommended to test out which one is best for your team. This way, you’ll be able to further enhance – and optimize – your newly-developed pipeline. Your future sales forecast? Sunny skies (and success) are just ahead!

5 Steps to Making Better Business Decisions with Machine Learning


Most of the day to day work for knowledge workers is spent helping the business make better decisions, like choosing whether it’s worth expending the effort (or actual money) to achieve the desired business goal.

Getting into Big Data Career: An Overview


Big data is all about what organizations do with the massive amount of data collected on a day-to-day basis. The data gets collected at a faster rate in varied forms and large volumes. It is used by organizations and businesses to discover patterns and trends to understand human behavior.

BI stands for and other handy data terms


BI stands for 'business intelligence' but we all know wrapping your head around words, phrases and acronyms in the tech world can be daunting. At Phocas we are all about making data accessible to all, so don't fret, we have your back and have collated an A to Z of BI terminology.

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.

Future-Proofing Your Information Governance Strategy

Speaker: Crystal Cao, Lindsey Simon & Lisa Ripley

Join Onna and experts from Quip, Airbnb, and Oracle for this live webinar as they dive into proactive data deletion policies, retention strategies, and legal hold practices that are essential to a modern enterprise information governance strategy.

The Value of Enterprise Architecture to Innovation and Digital Transformation


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.

Scrum, Objectives and Key Results


From books - we believe that 'Agile' is referred to as a set of practices or methods which are based on the values and principles. Agile helps to improve communication among self-organized, cross-functional teams working in a collaborative environment.

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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.

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.

The North Star Playbook

Every product needs a North Star. In this guide, we will show you the metrics product managers need to tie product improvements to revenue impact. If you are looking for a more-focused, less-reactive way to work, this guide is for you.

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.

Machine Learning-based Anti-spoofing Methods To Improve Facial Recognition Software


Facial-recognition spoofing emerged to combat accurate identification from facial recognition software.

Effective Data Mastering at Scale for Managed Healthcare Organizations


The managed care business is complex. Tamr can help with that complexity. While we may try to explain managed care as the interactions among patients, providers, and payers, industry experts know there are much more layers and vehicles involved.

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.

How to Choose the Best Embedded Analytics Solution to Modernize Your Application

If you are looking to modernize your application to improve competitiveness, then one of the quickest wins you can have is to embed sophisticated analytics that will wow your existing and prospective customers.

Analyzing GDPR Fines – who are largest violators?


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. 2020 Mar Tutorials, Overviews Europe GDPR Privacy

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What Essential Skills and Areas of Knowledge Should a Data Science Specialist Have?


Data science is a vast field that combines several related disciplines. These are programming, mathematics & statistics, business analytics, and machine learning.

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


Free course: The good news is: Lecture notes for a $ 2,000 online AI course are now open source!

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.

Machine Learning for Builders: Tools, Trends, and Truths

Speaker: Rob De Feo, Startup Advocate at Amazon Web Services

Machine learning techniques are being applied to every industry, leveraging an increasing amount of data and ever faster compute. But that doesn’t mean machine learning techniques are a perfect fit for every situation (yet). So how can a startup harness machine learning for its own set of unique problems and solutions, and does it require a warehouse filled with PhDs to pull it off?

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


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? AI Across Industries

The Role Of Artificial Intelligence In Healthcare


Artificial Intelligence and Machine Learning are the two tech components that are continuously transforming various industries particularly the healthcare sector.

The Retail Renaissance – How data and analytics are reshaping retail


The retail landscape is in the midst of a dramatic, data-driven renaissance. New tools help to build new connections — between consumers and retailers, and across supply chains.

The Data Behind: Helping Healthcare Get Better


Today, every industry is data-driven. In The Data Behind , we dig into the data creating change in rapidly evolving industries. Healthcare is experiencing a digital transformation, shifting how the medical ecosystem operates and the way that care is delivered.

B2B Pocket Playbook: End-to-End Guide to Sales Enablement

Sales enablement is the strategic process of providing sales teams with the content, guidance, and mentorship needed to engage targeted buyers. It’s all about equipping sales professionals with the tools they need to put their best-selling foot forward. And if sales teams want to continuously sell better -- and faster -- their sales enablement process must have a game-winning strategy. It's time for you to start selling smarter - and hitting your sales number - with the best B2B database in the market. Get started today.