December, 2019

Top 10 Analytics And Business Intelligence Buzzwords For 2020

datapine

Business intelligence has undergone many changes in the last decade. Each year, we hear about buzzwords that enter the community, language, market and drive businesses and companies forward.

5 Key Reasons Why Data Scientists Are Quitting their Jobs

Analytics Vidhya

Introduction The stock of a data scientist is at an all-time high right now. There aren’t too many professions out there that can rival. The post 5 Key Reasons Why Data Scientists Are Quitting their Jobs appeared first on Analytics Vidhya.

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Why Recognizing Artificial Consciousness May Be More Difficult Than Creating It

DataFloq

IntroductionFor many, the image of a world based on Artificial Intelligence (AI) brings to mind robots roaming the streets in an apocalyptic, dystopian future where humans are hunted to near extinction.

IT 168

What the Apple Card Controversy Means for Data Ethics

Corinium

“There’s no gender bias in our process for extending credit,” Goldman Sachs CEO David Solomon insisted in a recent TV interview. “We We don’t ask, when someone applies, if they’re a man of a woman.”. AI & Machine Learning

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.

Take your Machine Learning Models to Production with these 5 simple steps

MLWhiz

Creating a great machine learning system is an art. There are a lot of things to consider while building a great machine learning system. But often it happens that we as data scientists only worry about certain parts of the project.

All in the Data: Data Governance Made Easy

TDAN

Organizations that have implemented Data Governance programs, or Information Governance, Data/Information Management or Records Management programs will be the first to tell you that these data disciplines are not easy to operationalize.

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The History, Rewards and Risks of the Proliferation of Biometric Authentication Technology

DataFloq

The utilization of biometrics as a tool for securing and verifying identity has been standard practice among government and law enforcement agencies for quite some time now.

Risk 141

Metadata is Like Body Language

TDAN

The Nonverbal Dilemma Nonverbal communication is composed of body gestures and vocal inflections. The words you speak are a small fraction of communication.

What is the most important question for Data Science (and Digital Transformation)

KDnuggets

With so many buzzwords surrounding AI and machine learning, understanding which can bring business value and which are best left in the lab to mature is difficult.

Laying the Foundations for AI Success

Corinium

AI is now well into its ‘early adoption’ phase, with businesses throughout the Middle East and Africa clamoring to launch new initiatives. AI & Machine Learning

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 Weird and Hilarious Uses of Data Science

Analytics Vidhya

Introduction “Ripley’s Believe or Not” features some of the weirdest and most bizarre facts from around the world. How about creating our own Ripley’s. The post 5 Weird and Hilarious Uses of Data Science appeared first on Analytics Vidhya.

The 10 Essential SaaS Trends You Should Watch Out For In 2020

datapine

“Software as a service” (SaaS) is becoming an increasingly viable choice for organizations looking for the accessibility and versatility of software solutions and online data analysis tools without the need to rely on installing and running applications on their own computer systems and data centers.

Stock Coverage: days cover calculation and other stock metrics

Phocas

Anyone who manages inventory is familiar with stock coverage. The question is, how do you measure 'days cover calculation' and other useful inventory metrics. Industry - Wholesale Distribution Job Role - Inventory/Operations

5 Ways AI and Big Data Are Changing the Customer Experience

DataFloq

AI-driven technologies (e.g., natural language processing and machine learning) are now used in many customer service applications to help brands deliver an outstanding customer experience that will drive sales and increase customer retention.

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.

Is Artificial Intelligence Revolutionizing Environmental Health?

Simply Statistics

NOTE: This post was written by Kevin Elliott, Michigan State University; Nicole Kleinstreuer, National Institutes of Health; Patrick McMullen, ScitoVation; Gary Miller, Columbia University; Bhramar Mukherjee, University of Michigan; Roger D. Peng, Johns Hopkins University; Melissa Perry, The George Washington University; Reza Rasoulpour, Corteva Agriscience, and Elizabeth Boyle, National Academies of Sciences, Engineering, and Medicine.

How Data Democratization Will Transform Banking

Corinium

Data culture has become a huge focus for data leaders in recent years. It’s clear that data leaders will only be able to maximize the value of their companies’ data assets if they can get frontline staff to adopt new, data-driven ways of thinking and working.

How to use a Machine Learning Model to Make Predictions on Streaming Data using PySpark

Analytics Vidhya

Overview Streaming data is a thriving concept in the machine learning space Learn how to use a machine learning model (such as logistic regression). The post How to use a Machine Learning Model to Make Predictions on Streaming Data using PySpark appeared first on Analytics Vidhya.

Accelerate Your Business Performance With Modern IT Reports

datapine

As in many other industries, the information technology sector faces the age-old issue of producing IT reports that boost success by helping to maximize value from a tidal wave of digital data.

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.

[eBook] The top 7 key performance indicators for mid-market CEOs and executives

Phocas

Data and analytics have never been more important for mid-market CEOs and executives to set the course for their businesses. Data is key to transformation in a business. The true value of your data is how your people use data insights and how it impacts decision-making.

Ten Trends of Blockchain in 2020

DataFloq

Random Forest vs Neural Networks for Predicting Customer Churn

KDnuggets

Let us see how random forest competes with neural networks for solving a real world business problem. 2019 Dec Tutorials, Overviews Churn Customer Analytics Neural Networks Random Forests

The Connected Enterprise Holds The Keys To The King[CX]dom

Corinium

Navigating A Digital World. CCO Africa customer360

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.

6 Challenging Open Source Data Science Projects to Make you a Better Data Scientist

Analytics Vidhya

Overview Here are 6 challenging open-source data science projects to level up your data scientist skillset There are some intriguing data science projects, including. The post 6 Challenging Open Source Data Science Projects to Make you a Better Data Scientist appeared first on Analytics Vidhya.

Predictive Tourism: The Merger Of Big Data In Travel Industry

Smart Data Collective

Data science has shifted the existing ether bringing in new marvelous opportunities to many industries. In line with these immense possibilities, comes rapid changes and challenges. And in this case, the travel and tourism industry is no exception here.

Data visualization tool connects all pieces of the puzzle for Gibsons

Phocas

Gibsons is a 100-year-old manufacturer and distributor of more than 500 games, puzzles, cards and gifts. The company employs 20 people who support 1,500 brick and mortar retailers across the United Kingdom. Gibsons added Phocas, a data visualization tool to its tech stack and is reaping the benefits.

Big Data is Transforming the Financial Industry at its Core

DataFloq

Earlier this year, Investopedia published a very insightful article on the intersection of big data and the financial industry. Big data is changing every facet of the financial industry, from insurance actuary processes to the management of the stock market.

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?

Machine Learning Algorithm Cheatsheet

Data Science 101

The fine folks at Microsoft have put together an excellent Single Page Cheatsheet for Azure Machine Learning Algorithms. It is very helpful for Azure, but it is also helpful for understanding when and why to use a particular algorithm. Microsoft’s Azure Machine Learning Algorithm Cheat Sheet.

The Changing Role of the CDAO

Corinium

The proper powers and responsibilities for a CDAO to wield have been a topic of debate in the business world for some years now.

IT 195

An Exhaustive Guide to Detecting and Fighting Neural Fake News using NLP

Analytics Vidhya

Overview Neural fake news (fake news generated by AI) can be a huge issue for our society This article discusses different Natural Language Processing. The post An Exhaustive Guide to Detecting and Fighting Neural Fake News using NLP appeared first on Analytics Vidhya.

Data Science Curriculum Roadmap

KDnuggets

What follows is a set of broad recommendations, and it will inevitably require a lot of adjustments in each implementation. Given that caveat, here are our curriculum recommendations. 2019 Dec Tutorials, Overviews Data Science Data Science Education

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.