February, 2020

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How Data Leaders Can Become Powerful Agents for Change

Corinium

Promoting data literacy and culture is essential to the success of any digital transformation. Developing analytical skills is like fishing. Giving someone a rod isn’t enough. They must genuinely want to catch a fish if they’re going to learn how to use it. Even then, they’ll need someone to show them how.

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Why Data Science is Repairing IT’s Relationship with the Business

Dataiku

This blog post is part of a series of guest publications by Excelion Partners. It’s been growing for years. The rift just keeps getting bigger. There is plenty of blame to go around. Failed projects. Poor requirements. Scope creep. Software product marketing overpromising. Order taking and lack of progress.

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Information Systems Careers Are the New Frontier of Big Data

Smart Data Collective

Are you looking to capitalize off of your knowledge of big data? There are a lot of careers that talented data scientists can pursue. Information systems careers are among the most promising. IBM Big Data and Analytics Hub has talked about some of the biggest changes impacting the world of big data. They found an interesting quandary that many companies are facing.

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What Data Analysts Need from Their Leadership

Corinium

Ahead of his appearance at this year’s Chief Data & Analytics Officer Africa conference, Michiel van Staden, Data Analytics Lead: Everyday Banking Growth at Absa, shares three things his experiences to date have taught him about data leadership. The value of data analytics rests on communication.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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Terrifying Big Data Report Shows Anyone Can Get Your Info for $2

Smart Data Collective

Big data is a great asset for countless people all over the world. A growing number of companies are relying on data to deliver more value for their customers. One report shows the market for big data could reach $103 billion in the next seven years. Unfortunately, big data comes with a price. It can compromise our privacy, as more and more people can get access to it.

Big Data 101
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Quick Introduction to Bag-of-Words (BoW) and TF-IDF for Creating Features from Text

Analytics Vidhya

The Challenge of Making Machines Understand Text Language is a wonderful medium of communication. You and I would have understood that sentence in a. The post Quick Introduction to Bag-of-Words (BoW) and TF-IDF for Creating Features from Text appeared first on Analytics Vidhya.

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More Trending

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Coronavirus Versus Artificial Intelligence

DataRobot

The Coronavirus has infected nearly 80,000 people worldwide, resulting in some 2,500 fatalities. As this deadly contagion continues spreading from its origins in Wuhan, China, policymakers worldwide are scrambling to figure out how to contain it.

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Women in Data Science 2020 Livestream

Data Science 101

Data Science 101 is honored to present the Global Women in Data Science 2020 livestream. This is the fifth annual global conference which features “outstanding women doing outstanding data science work in academia, industry, government, and non-profits.” The livestream is free and it begins March 2, 2020 at 9am PST. The livestream will be available during the live event.

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Three Takeaways from CDAO UK 2020

Corinium

How the role of the CDAO is changing, data culture is spreading and organisations are scaling data-driven capabilities dominated the agenda at this year’s conference. Corinium’s 2020 Chief Data & Analytics Officers UK conference revealed how CDAOs, data teams and organisations are evolving to scale data capabilities and drive ROI more efficiently.

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Data Governance and Metadata Management: You Can’t Have One Without the Other

erwin

When an organization’s data governance and metadata management programs work in harmony, then everything is easier. Data governance is a complex but critical practice. There’s always more data to handle, much of it unstructured; more data sources, like IoT, more points of integration, and more regulatory compliance requirements. Creating and sustaining an enterprise-wide view of and easy access to underlying metadata is also a tall order.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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Learn Image Classification on 3 Datasets using Convolutional Neural Networks (CNN)

Analytics Vidhya

Introduction Convolutional neural networks (CNN) – the concept behind recent breakthroughs and developments in deep learning. CNNs have broken the mold and ascended the. The post Learn Image Classification on 3 Datasets using Convolutional Neural Networks (CNN) appeared first on Analytics Vidhya.

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Analytics in 2020: Ventana Research Agenda

David Menninger's Analyst Perspectives

Ventana Research recently announced its 2020 research agenda for analytics , continuing the guidance we’ve offered for nearly two decades to help organizations derive optimal value from their technology investments and improve business outcomes. It’s been exciting to follow the emergence of innovative capabilities in the analytics market, but for businesses it can be challenging to stay on top of all these changes.

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Why Build a Data-Driven Culture?

Juice Analytics

In our book Data Fluency , we describe the four pillars of a “data fluent” organization: Data Consumers — the people who use data products to make better decisions; Data Authors — the people who create data products to influence and inform decisions; Data Ecosystem — the set of tools, processes, and capabilities to create effective data products; Data Culture — the norms, expectations, and leadership that encourage a data-driven organization.

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Scoring Goals with Data: Champions League Predictions

DataRobot

We at DataRobot have been enjoying building models to predict various sporting events around the world. However, it’s been pointed out to me that we have shown a bias for covering North American events so far. Several colleagues in Europe asked when we were going to predict the world’s most popular game, football. So I enlisted Chloe and Akshay to help me and see if we could predict the Champions League Knockout Stage and the eventual Champions League winner.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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Insurers Under Pressure to Improve Customer Experiences

Corinium

With customers increasingly demanding fast, convenient insurance quotes, the industry’s data leaders are feeling the pressure to develop products, services and experiences fit for the modern age. AI-driven insurance app Lemonade is the latest in a long line of financial services innovations designed to put customer experiences first.

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Taichi: A Brand New Programming Language, “Frozen” in 99 Lines of Code

FineReport

Original source from [link]. For code details, please click the taichi_mpm project link at the end of the text. What is Taichi? With only 99 lines of code, you can also have the magic of snow and ice like Princess Aisha in “Frozen” Although you cannot arbitrarily create magic in the real world, it can be implemented in the virtual world of computers.

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How to use loc and iloc for Selecting Data in Pandas (with Python code!)

Analytics Vidhya

What is the difference between loc and iloc in Pandas? Put this down as one of the most common questions you’ll hear from Python. The post How to use loc and iloc for Selecting Data in Pandas (with Python code!) appeared first on Analytics Vidhya.

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Data Management 20/20: The Trinity of the Business Glossary

TDAN

Essential Components forthe Business/IT Lexicographer Today’s organizations often struggle with how poorly their information systems perform. Sources of this poor performance can be many, including functions and components in the conceptual, structural, organizational, and operational domains, among others. One recurring source of this poor performance is linguistic in origin.

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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How Big Data Has Changed the Financial Industry

Smart Data Collective

The accessibility and value of consumer data has grown substantially in the past several years. These days, nearly every company bigger than a “mom and pop” shop works to gather and analyze terabytes of data from their customers, hoping to better understand and serve them while one-upping the competition. In the financial industry, these efforts are particularly intense.

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10 Ways To Make Better Decisions

Bruno Aziza

Making good decisions is hard. And often, it’s the process that’s behind your decision that needs the most help. How you develop judgment and good decision making habits matters. That’s why I’ve been looking around for simple tools that help better “decisioning” become a habit.

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Data Literacy: A Potential $700m Opportunity for Enterprise Businesses

Corinium

With research showing that data literate enterprises are worth AUD $400-700 million more on average than their rivals, it’s time for data leaders to consider how they can release the value ‘trapped’ within their organisations. If a person can’t read or write, simple, everyday tasks become impossible. Imagine an employee trying to check their emails, schedule a meeting or edit a document without these essential skills.

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Cloud Data Science 7

Data Science 101

Welcome to Cloud Data Science 7. Announcements around an exciting new open-source deep learning library, a new data challenge and more. News. Microsoft Releases DeepSpeed for Training very large Models DeepSpeed is a new open-source library for deep learning optimization. Using a component of the library named ZeRO, it can train models with up to 100 billion parameters.

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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

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4 Boosting Algorithms You Should Know – GBM, XGBM, XGBoost & CatBoost

Analytics Vidhya

How many boosting algorithms do you know? Can you name at least two boosting algorithms in machine learning? Boosting algorithms have been around for. The post 4 Boosting Algorithms You Should Know – GBM, XGBM, XGBoost & CatBoost appeared first on Analytics Vidhya.

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Ron Lewis makes retail sense with analytics

IBM Big Data Hub

This story is part of Analytics Heroes , a series of profiles on leaders transforming the future of business analytics.

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Big Data Is Shaping These Huge Digital Marketing Trends In 2020

Smart Data Collective

I had an interesting encounter at a young professionals’ group the other day. I ran into the head of an analytics company with a lot of experience in big data. When I talk to people from analytics companies, they usually emphasize the technical aspects of their profession. This man was different. He talked extensively about the types of clients he worked with the most.

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Why 2020 is the Year for 5G and IoT

Teradata

In 2020, various use cases enabled by marrying 5G & IoT will become possible, ushering in a generation where there is more data & transactions than ever before.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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Three Data and Analytics Predictions for 2020

Corinium

Ahead of this week’s Chief Data & Analytics Officers UK conference, Denodo’s Paul Moxon, Hitachi Vantara’s Gwyn Evans and Dataiku’s Nadim Antar give their top predictions for the UK’s data and analytics industry in 2020. More than 200 data and analytics leaders will get a taste of what the future has in store for them when they descend on London for Corinium’s Chief Data & Analytics Officers UK conference this week.

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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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What is Bootstrap Sampling in Statistics and Machine Learning?

Analytics Vidhya

Introduction Have you ever struggled to improve your rank in a machine learning hackathon on DataHack or Kaggle? You’ve tried all your favorite hacks. The post What is Bootstrap Sampling in Statistics and Machine Learning? appeared first on Analytics Vidhya.

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What Can Data Visualization Help in the Battle against the Novel Coronavirus?

FineReport

The novel coronavirus (now officially named COVID-19), first discovered in the city of Wuhan, China has infected over 59,000 Chinese citizens and killed more than 1,000 in the past six weeks. In addition to speeding up virus vaccine research and strengthening personnel mobility management, the timely collection, transmission, and management of personnel information has also become a vital part of this battle against the virus.

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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

Embark on a transformation journey into the heart of the data ecosystem! This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Delve into the diverse use cases where data analytics plays a pivotal role. We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond.