Sat.Nov 28, 2020 - Fri.Dec 04, 2020

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Density-Based Clustering

Domino Data Lab

Original content by Manojit Nandi – Updated by Josh Poduska. Cluster Analysis is an important problem in data analysis. Data scientists use clustering to identify malfunctioning servers, group genes with similar expression patterns, and perform various other applications. There are many families of data clustering algorithms, and you may be familiar with the most popular one: k-means.

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Use of Machine Learning in Dairy farming

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction: These days if we read anything, we can see something is. The post Use of Machine Learning in Dairy farming appeared first on Analytics Vidhya.

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From Chaos to Control with Data Intelligence

erwin

As the amount of data grows exponentially, organizations turn to data intelligence to reach deeper conclusions about driving revenue, achieving regulatory compliance and accomplishing other strategic objectives. It’s no secret that data has grown in volume, variety and velocity, with 2.5 quintillion bytes generated every day and 90 percent of the world’s data volume created just in the last two years.

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How Enterprise Organizations Can Become Data-Driven

DataCamp

One reason for the success of tech companies like Netflix and Airbnb: They’ve grown up with data. Not in tech? Here’s how to rebuild your company around data.

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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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7 Tremendous Changes Artificial Intelligence Brings to the Education Sector

Smart Data Collective

Artificial intelligence is shaping our world in unbelievable ways. As previously stated, it has both benefits and drawbacks. What do you think would happen if robots took over the world? Would you never have to go to school again? Or would you never have to take the bus again? Oh, wait! Will the bus now be driven by a robot? You need to think about the different ways AI is changing our world.

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Nervous about your first data science project! Here are 6 easy steps to get started!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction We all have been hearing about the buzz word – “Data. The post Nervous about your first data science project! Here are 6 easy steps to get started! appeared first on Analytics Vidhya.

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Expanding Role of Data Governance, Metadata Management, and Data Quality

TDAN

Ensuring data quality is an important aspect of data management and these days, DBAs are increasingly being called upon to deal with the quality of the data in their database systems more than ever before. The importance of quality data cannot be overstated. Poor data quality costs the typical company between 10% and 20% of […].

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In The Age Of Big Data, Is Microsoft Excel Still Relevant?

Smart Data Collective

In recent years, leading professional fields like marketing have leaned heavily on phrases like, “content is king,” but if you’ve been paying attention – not just to marketing, but to many other growing fields, including eCommerce, healthcare, and finance – the real reigning force is not content, but data. Big data, which is itself a consequence of other technology, gives us the tools to interpret our actions, to strategize and analyze in new and more objective ways.

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A Detailed Introduction to K-means Clustering in Python!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Cluster analysis or clustering is an unsupervised machine learning algorithm that. The post A Detailed Introduction to K-means Clustering in Python! appeared first on Analytics Vidhya.

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A Guide to Creating Your Digital Transformation Roadmap

TreehouseTechGroup

Digital transformation consulting organizations such as Treehouse have the opportunity to observe successful transformation projects along with others that are floundering or have been abandoned. Based on this observation and analysis, we see that a well thought out roadmap for digital transformation of your organization dramatically increases the probability of success.

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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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Project Update (Dec 2020)

The Data Visualisation Catalogue

This is an update on the project, as it’s been a while since I last posted on this blog. I felt I would be doing the users of this website a disservice if I didn’t explain my absence and the lack of new content. But the reasons I’ve been away have been for (I believe) mostly good reasons, that have contributed greatly to developing my understanding of data visualisation and how to teach it to others.

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Familiarize Yourself with the Legality of Data Accumulation Under New Data Governance Rules

Smart Data Collective

Data is absolutely vital to your occupation as a business owner. After all, this information lets you understand your market better, enabling you to provide better customer experiences. However, customers aren’t as willing to share personal information with companies. In fact, a study found that 79% of Americans are concerned about how their data is being used by companies, which is not good for building trust.

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How can you Master Data Science without a Degree in 2020?

Analytics Vidhya

Introduction Becoming a data scientist has become like the “American Dream” – everybody wants to have it! However, for all the beginners out there. The post How can you Master Data Science without a Degree in 2020? appeared first on Analytics Vidhya.

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The Data-Centric Revolution: The Role of SemOps (Part 1)

TDAN

We’ve been working on something we call “SemOps” (like DevOps but for Semantic Technology + IT Operations). The basic idea is how can we create a pipeline to go from proposed enterprise ontology or taxonomy enhancements to “in-production” as frictionlessly as possible. As so often happens, when we shine the Semantic Light on a topic […].

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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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2020 Data Impact Award Winner Spotlight: Rush University Medical Center

Cloudera

After a tumultuous year, the final award category at the Data Impact Awards was a much needed pick me up for everyone in attendance. Showcasing some of the most inspiring and uplifting use cases of Cloudera’s technology, The Data for Good category recognizes organizations that are tackling the challenging issues affecting society and the planet — and we all know there are plenty of them in 2020!

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Data Automation Has Become an Invaluable Part of Boosting Your Business

Smart Data Collective

Automation is a growing market throughout the world. According to many experts, it is expected to be worth $83 billion by the end of next year. The appeal of automation becomes a lot more evident when you understand its capabilities. Data automation, in particular, can offer some tremendous benefits. Understanding the Phenomenal Benefits of Data Automation.

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Lets Open the Black Box of Random Forests

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Random Forests are always referred to as black-box models. Let’s try. The post Lets Open the Black Box of Random Forests appeared first on Analytics Vidhya.

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Is RPA the same as AI? What’s the Difference, and What Are the Use Cases?

Dataiku

The short answer is: No, robotic process automation (RPA) and artificial intelligence (AI) are not the same thing. However, they are two complementary technologies that can increase efficiency in a wide range of business processes.

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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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Complicated vs. Complex: the human factor in project management

CONTACT Software

Classic, agile or hybrid project management – what do I choose in a project? The Stacey Matrix (after the organizational theorist Ralph D. Stacey) can provide a decision support. A criteria catalog is used to assess how well a project plan is already understood – in terms of requirements on the one hand and the … Continue reading "Complicated vs.

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#ClouderaLife: Unplugged

Cloudera

It’s a trick as old as time… or at least as old as technology. We all know that step one to solving for any tech issue is to turn it off and then turn it back on again. But would it solve for issues in advance of them happening? And could this work not only for technology but for the people behind the technology? Our leadership team decided to explore that theory.

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Improve your Predictive Model’s Score using a Stacking Regressor

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The general principle of ensembling is to combine the predictions of various. The post Improve your Predictive Model’s Score using a Stacking Regressor appeared first on Analytics Vidhya.

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Our Top-Performing Virtual Meetups From 2020

Dataiku

Dataiku Meetups were designed to bring data enthusiasts together to foster knowledge-sharing and the intellectual growth of the data community. They showcase the work of talented data professionals across industries to help attendees uncover insider tips and tricks to transform data into actionable insights. They are open to anyone — data professionals, scientists, engineers, analysts, students, and so on.

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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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Sirius Acquires Champion Solutions Group and MessageOps

CDW Research Hub

Acquisition extends Sirius’ reach in the Southeastern U.S. and strengthens Microsoft cloud capabilities. San Antonio, TX – 01 December, 2020 — Sirius Computer Solutions, Inc. (Sirius), a leading national IT solutions integrator, announces that it has acquired Florida-based Champion Solutions Group, Inc. The acquisition—which closed on November 30—helps Sirius extend its reach in the Southeast region of the U.S. and dramatically expands its Microsoft 365 and Azure cloud services.

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Cloudera Operational Database Infrastructure Planning Considerations

Cloudera

In this blog post, let us take a look at how you can plan your infrastructure planning that you may have to do when deploying an operational database cluster on a CDP Private Cloud Base deployment. Note that you may have to do some planning assumptions when designing your initial infrastructure, and it must be flexible enough to scale up or down based on your future needs. .

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Beginners Guide to Manipulating SQL from Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction I just completed Analytics Vidhya’s course on SQL for Data Science. The post Beginners Guide to Manipulating SQL from Python appeared first on Analytics Vidhya.

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Performing Non-Compartmental Analysis with Julia and Pumas AI

Domino Data Lab

When analysing pharmacokinetic data to determine the degree of exposure of a drug and associated pharmacokinetic parameters (e.g., clearance, elimination half-life, maximum observed concentration ( ), time where the maximum concentration was observed ( ), Non-Compartmental Analysis (NCA) is usually the preferred approach [1]. At its core, NCA is based on applying the trapezoidal rule from numerical analysis against the plasma concentration-time curve to calculate the area under the curve (AUC) a

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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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Data is Risky Business: The Importance of Fundamentals

TDAN

In my last column for TDAN.com, I wrote about the strategy lessons for data that we can learn from the writings of a 16th century Japanese swordsman. To summarize: – We need to study different disciplines in order to understand how they relate to each other. Expertise in all is not required, but basic competence […].

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Risk-Based Wealth Management: What the Insurance Industry Gets Wrong

Teradata

Product-centric processes degrade customer experience. Insurers must insulate consumers from internal & regulatory-driven controls by placing them in the center of the customer experience.

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Stock Market Price Trend Prediction Using Time Series Forecasting

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Time series forecasting is used to predict future values based on previously. The post Stock Market Price Trend Prediction Using Time Series Forecasting appeared first on Analytics Vidhya.

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Time to Act: Key Considerations When Leaving the Legacy Behind

Jedox

While well-known legacy planning solutions provided great planning tools once upon a time, several of them are near or have reached their end-of-life. This means no more support and no more bug fixes. Assessing the market to select a suitable replacement that will fully support your organization’s transition to a modern xP&A strategy 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.