Sat.Feb 01, 2020 - Fri.Feb 07, 2020

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No Data Lineage? No Trust!

Data Virtualization

The awareness of what we know is not just a nice-to-have, but the very essence of knowledge itself. Knowledge does not exist by acts of faith; it requires transparency, trust, and communicability. “Knowing something” means knowing the entire path that.

IT 52
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Zen and the Art of Data Maintenance: Big Data, More Data, BIG Issue

TDAN

More, more, more! We are culturally conditioned to want more. More money, more fun, more pleasure, more accomplishment, more intelligence, and yes, more data. There is an idea that if we get more, we will be happier and more successful. The need for more fuels consumerism and business. Marketing efforts are often based on creating […].

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Best Practices for Data Science Pipelines

Dataiku

An organization's data changes over time, but part of scaling data efforts is having the ability to glean the benefits of analysis and models over and over and over, despite changes in data. That's where the concept of a data pipeline comes in: data might change, but the transformations, the analysis, the machine learning model training sessions, and any other processes that are a part of the pipeline remain the same.

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Data’s Gender Gap is Killing Women

TDAN

In an ideal world, all the features and functions of society would be accessible and useful for all members of the population. However, it is becoming an increasingly visible fact that more often than not, half of the population isn’t considered when gathering and applying data. Women are often left out of the equation, and […].

IT 52
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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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Hands-On Tutorial to Analyze Data using Spark SQL

Analytics Vidhya

Overview Relational databases are ubiquitous, but what happens when you need to scale your infrastructure? We will discuss the role Spark SQL plays in. The post Hands-On Tutorial to Analyze Data using Spark SQL appeared first on Analytics Vidhya.

Analytics 400
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Solving the Insurance Industry’s Data Quality Problem

Corinium

Using data to inform business decisions only works when the data is correct. Unfortunately for the insurance industry’s data leaders, many data sources are riddled with inaccuracies. Data is the lifeblood of the insurance industry. From telematics data in car insurance to geospatial data in the property sector and beyond – accurate and timely data empowers insurance companies to effectively assess and manage their portfolios of risks.

Insurance 221

More Trending

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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.

Big Data 114
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Underfitting vs. Overfitting (vs. Best Fitting) in Machine Learning

Analytics Vidhya

The Challenge of Underfitting and Overfitting in Machine Learning You’ll inevitably face this question in a data scientist interview: Can you explain what is. The post Underfitting vs. Overfitting (vs. Best Fitting) in Machine Learning appeared first on Analytics Vidhya.

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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.

IoT 114
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Upping Your Reporting Game–with PowerPoint!

Depict Data Studio

Today’s guest blog post comes from Ann Webb Price. Ann has been a program evaluator for more than 20 years and President of Community Evaluation Solutions. She is committed to creating usable reports that accurately report evaluation findings in a way that engages clients, supports program improvement, and promotes organizational learning. –Ann K.

Reporting 101
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Using Big Data With Docker As A Powerful Software Development Platform

Smart Data Collective

Big data is changing the world in tremendous ways. One of the areas where big data is having the largest effect is with software development. A growing number of DevOps platforms are using new data analytics and machine learning tools to boost performance. Docker is one of them. The Role of Big Data with Docker for Software Development. Enterprises around the world have recently gained interest in Docker.

Big Data 101
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5 Open Source Machine Learning Projects to Challenge your Inner Data Scientist

Analytics Vidhya

Overview Start 2020 on the right note with these 5 challenging open-source machine learning projects These machine learning projects cover a diverse range of. The post 5 Open Source Machine Learning Projects to Challenge your Inner Data Scientist appeared first on Analytics Vidhya.

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Keep the train rolling: partner momentum in the data science market

IBM Big Data Hub

How has the newer data science technology such as Watson Studio, Watson Machine Learning and Watson OpenScale been picked up by the business partner community? I mentioned in our previous blog that I was pleasantly surprised at how many IBM Business Partners have established a Data Science practice. The new data science technology has been very well received by our partner community.

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Sisense Hackathon 2020 Recap: Dreaming Big, Building Bigger with AWS

Sisense

Blog. At Sisense, we are builders. Create This is your firsthand look at what that means to us. Read on for Hackathon stories, new product developments, moonshot ideas, and more. We’re always working on something new at Sisense. Innovating and experimenting with new ideas are core parts of our DNA; our R&D and AI teams never stop building the future of data.

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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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Drug Discovery Needs AI To Discover More Treatments

Smart Data Collective

Improving human health, longevity, and satisfaction are some of the primary purposes of technology. At first glance, artificial intelligence may feel like a step away from our humanity. But what if it could make us more observant, better able to find hidden connections , and more efficient as we explore the unknown? Drug discovery and clinical trials are just one application area for AI, but it’s a deserving and impactful one.

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How to Join Multiple Dataframes in Python

Analytics Vidhya

The Challenge of Merging Multiple Dataframes in Python Here’s a scenario that trips up almost every fresher and aspiring data scientist: You are working. The post How to Join Multiple Dataframes in Python appeared first on Analytics Vidhya.

Analytics 322
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Come Together & Share the Experience with the New Dataiku Community

Dataiku

Meet the Dataiku Community , the new one-stop shop bringing together Dataiku DSS users and AI builders for learning, peer-to-peer support, and best practices enabled by an updated, shared platform experience.

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Container Security heads-up: Microsoft Container Registry changes

Jen Stirrup

Heads up! There is a significant client side firewall change being implemented for the Microsoft Container Registry. On 3rd March, 2020, the data endpoint will change from*.cdn.mscr.io to *. data.microsoft.com. This issue only impacts customers with client firewall or VNet rules. What will change? It’s the underlying data endpoint that will change.

IT 93
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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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ERPs and Budgeting—What the Excel?!

Paris Technologies

In relation to most ERP systems, Excel is an elemental component of how they provision budgeting capabilities. But is it enough for large firms need to accomplish their complex planning needs?

IT 84
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How to Create a Test Set to Approximate Business Metrics Offline

Analytics Vidhya

Introduction Most Kaggle-like machine learning hackathons miss a core aspect of a machine learning workflow – preparing an offline evaluation environment while building an. The post How to Create a Test Set to Approximate Business Metrics Offline appeared first on Analytics Vidhya.

Metrics 287
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Cloud Data Science 6

Data Science 101

All the large cloud providers had some announcements this past week, plus a global artificial intelligence organization had some news to share. News. Azure Stream Analytics Anomaly Detection Azure Stream Analytics now has built-in anomaly detection capabilities. You no longer need to build and train your own custom anomaly detection model. Azure IoT Cental has updated pricing Azure Cognitive Services Translator supports new languages Irish, Punjabi, Malayalam, Kannada, and Portuguese Google Clou

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DataRobot’s Oscar Prediction 2020: Who Will Win Best Picture?

DataRobot

This blog is meant to be a fun and unique take on predicting Best Picture for the 92nd Academy Awards.

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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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Why You Should Enhance Your Email Campaigns With AI

Smart Data Collective

Artificial intelligence is slowly working its way into everything. One of the newest iterations is AI-driven email marketing. Many companies are already using this and you may not have noticed. That’s because these programs are undetectable unless you know what to look for and they are highly relevant to your interests. Using AI allows you to better segment your market and it can help signal when someone is prepared to sign.

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Who is the Best IPL Batsman to Bat with? Finding the Answer with Network Analysis

Analytics Vidhya

Introduction Did you know that the Indian cricket team relies heavily on data analytics to decide their strategy for an upcoming match? Batsmen are. The post Who is the Best IPL Batsman to Bat with? Finding the Answer with Network Analysis appeared first on Analytics Vidhya.

Strategy 262
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AI Birth to Boom

bridgei2i

From references of Mechanical men and artificial beings in Greek myths, such as the golden robots of Hephaestus and Pygmalion’s Galatea, the antikythera to realistic humanoid automatons built by craftsmen from diverse civilizations, including Yan Shi, Hero of Alexandria, Al-Jazari, Pierre Jaquet-Droz, and Wolfgang von Kempelen to the discovery of Leonardo Da Vinci’s complex sentient machine diagrams, one thing has remained constant: Artificial intelligence has always piqued society’s interest.

IoT 69
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Predictive Analytics Tools for All Skills!

Smarten

Assisted Predictive Modeling: The Word ‘Assisted’ is the Key! Assisted predictive modeling! The term sounds complex and intimidating, doesn’t it? But nothing could be further from the truth. The word ‘assisted’ is the key! It is true that without the skills and knowledge of a data scientist or a business analyst, predictive analysis can be a daunting task.

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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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Our Top 20 Most-Read Data and Analytics Research Last Week (to Feb 2)

Andrew White

Click here for an interactive PDF to connect to the most read data and analytics research directly. This list excludes our branded research such as Magic Quadrants etc. Wow what a week – so many newly published research notes entered the top 20 most-read D&A notes! Pieter den Hamer scored his second number 1 “hit” of 2020 last week with this: How to Manage the Risks of Decision Automation.

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Agile Digital Transformation for Data-Driven CEOs with Power BI

Jen Stirrup

In a world where technology takes over most aspects of life and business, CEOs need a guiding philosophy more than ever to help them add the best possible value to their actions while being able to display ongoing strategic assessment and planning capabilities. Nevertheless, it is often difficult for them to find the right amount of time to collect, cultivate, and analyse data, mostly because CEOs need to prioritize strategic decisions.

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Celebrating BusinessObjects for the Next Decade

Paul Blogs on BI

Wow – here we are in a brand-new decade and it’s the 2020’s. Now if this decade turns out anything like its predecessor 100 years ago – the 1920’s – then we are in for a fun time! The “roaring 20’s”, as they were known, was a time in Western culture of economic growth, exuberance and social change. I like the exuberance part and I am already so excited about this decade because of the up and coming new release of BusinessObjects – BI 4.3.

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Case Study – Smarten Augmented Analytics Implementation for Growing India Retail Clothing Chain

Smarten

This Client is one of the fastest growing retail clothing chains in India. The Client has more than 50 stores located in 18 cities, and offering more than 8 in-house brands of apparel. The Client business is experiencing consistent growth with new stores opening in numerous cities at prime locations. The Client business was constantly evolving and adding more stores as well as launching an online presence.

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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.