Analytics Vidhya
DECEMBER 29, 2020
ArticleVideos Overview The projects are a way to enhance and improve your knowledge in the data science domain. To boost your resume, here we. The post 10 Data Science Projects Every Beginner should add to their Portfolio appeared first on Analytics Vidhya.
Smart Data Collective
DECEMBER 14, 2020
Retailers are struggling to keep up with a growing demand for online purchases. They have found that the pandemic has completely upended their business models, as customers shift towards online commerce. This has driven many companies to find more innovative ecommerce marketing models that rely on big data. As such, retailers have an even tougher job of keeping on top of supply and demand.
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BA Learnings
DECEMBER 27, 2020
Is your value proposition aligned with customer needs? Are your customers or partners satisfied? Are your products and services hard to replicate? Does each of your product or service offer great value for money? Business Analysts working in startup environments or in the strategy function of businesses will often be faced with situations where they are required to define the value proposition of products or service, in collaboration with business owners.
DataKitchen
DECEMBER 21, 2020
We understand that many folks would like to say goodbye and good riddance to 2020. But before we shut the door on such a turbulent, transformative year, we at DataKitchen would like to share the creme de la creme of our DataOps content in hopes that it can help you as you learn about and implement DataOps. We hope you and your family have happy holidays and we look forward to continuing your DataOps journey with you in the new year.
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.
Paul Turley
DECEMBER 25, 2020
Part of the the series: Doing Power BI the Right Way Data Modeling 101: part 1 (more advanced techniques coming in part 2) A data model is the foundation of analytic reporting. It provides structure and order over information that might otherwise be chaotic and untrustworthy.
erwin
DECEMBER 3, 2020
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.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Smart Data Collective
DECEMBER 30, 2020
As technology has advanced in the transportation industry, there’s a lot of data available that can enhance truckers’ safety all over the world. One recent example is the development of electronic logging devices (ELD) that monitor drivers’ Hours of Service (HOS) compliance. But there are other examples of how technology is improving truck driver safety – that’s what telematics is all about.
BA Learnings
DECEMBER 28, 2020
Market research is an essential aspect of managing a business and can be conducted with both internal and external customers in mind. The data gathered through online survey tools can be fed into a range of applications for more in-depth analysis. The subsequent analysis of this data can assist in the delivery of insights that can be applied to reduce staff turnover, improve employee relations and engagement, assist in product development and improve client retention, to mention a few benefits.
DataKitchen
DECEMBER 20, 2020
It is not the strongest of the species that survives, nor the most intelligent that survives. It is the one that is most adaptable to change. – Leon C. Megginson on Charles Darwin “Origin of Species”. Adapt or face decline. The agile alliance defines “ business agility ” as the ability of an organization to sense changes internally or externally and respond accordingly in order to deliver value to its customers.
Paul Turley
DECEMBER 31, 2020
Part of the the series: Doing Power BI the Right Way Data modeling 201-301 – continued from part 1 So far, you’ve seen that the essential components of a data model include tables related to each other.
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.
erwin
DECEMBER 10, 2020
Learn. Transform. Advance. That was the theme of the global conference we produced in October, but I’d venture to say it’s the mantra global organizations need to adopt as we continue to deal with the most disruptive event of our lifetime: COVID-19. Learn. When I look back, I should not be surprised that 2020 has been incredibly busy for us here at erwin.
Analytics Vidhya
DECEMBER 22, 2020
Overview Your quest to understand how to become a data scientist in 2021 ends here Here’s a month on month plan that you can. The post A Super Useful Month-by-Month Plan to Master Data Science in 2021 appeared first on Analytics Vidhya.
Smart Data Collective
DECEMBER 9, 2020
When most people consider the merits of machine learning, they typically think about its applications from a capitalist standpoint. There are countless ways that business owners are using machine learning advances to pad their bottom lines. However, policymakers, nonprofits and other experts are also finding machine learning applications that serve more benevolent purposes.
BA Learnings
DECEMBER 28, 2020
How can we aim for, or even define, business success, if we don't know what it is? Critical success factors (CSFs) are an important element in business, and essentially entail identifying what really matters. In this blog post, we will explain exactly what critical success factors are, and take you through some of the different types. Deciding what matters Does your team have its eye on the ball?
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.
Juice Analytics
DECEMBER 7, 2020
We designed Juicebox to be the easiest way to present your data. It offers the power and flexibility to create data stories that combine exploration while emphasizing your message. But sometimes you just need to share something simple — like a leaderboard that ranks and compares Premier League players. I want to show you how easy that is to do in Juicebox.
Dataiku
DECEMBER 14, 2020
What happens when AI systems make a mistake? Why does that matter? Well, the mistakes can result in significantly impactful errors that cause harm, a very palpable risk for organizations across industries, from healthcare and finance to marketing and retail.
Domino Data Lab
DECEMBER 8, 2020
Notebooks have become one of the key primary tools for many data scientists. They offer a clear way to collaborate with others throughout the process of data exploration, feature engineering and model fitting and through utilizing some clear best practices , can also become living documents of how that code operates. Notebooks give users the ability to choose the languages and libraries of their choice which offers great flexibility but, on the counter, point they can be very code intensive doin
Analytics Vidhya
DECEMBER 18, 2020
Introduction Data science is not a choice anymore. It is a necessity. 2020 is almost in the books now. What a crazy year from. The post A Review of 2020 and Trends in 2021 – A Technical Overview of Machine Learning and Deep Learning! appeared first on Analytics Vidhya.
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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.
Smart Data Collective
DECEMBER 21, 2020
We previously talked about the benefits of data analytics in the insurance industry. One report found that big data vendors will generate over $2.4 billion from the insurance industry. However, major advances in AI have arguably affected the insurance industry even more. AI has moved forward in giant leaps over the last ten years, and new developments are being realized every day.
BA Learnings
DECEMBER 28, 2020
Is your value proposition aligned with customer needs? Are your customers or partners satisfied? Are your products and services hard to replicate? Does each of your product or service offer great value for money? Business Analysts working in startup environments or in the strategy function of businesses will often be faced with situations where they are required to define the value proposition of products or service, in collaboration with business owners.
DataCamp
DECEMBER 3, 2020
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.
Cloudera
DECEMBER 15, 2020
It is crucial for organizations to focus on supporting the new way of work, enhancing productivity, and improving cost efficiency to ensure business survival in the post-pandemic world. However, those that are overly focused on these short-term goals risk losing sight of what’s truly important. As shared in my previous post , diverse teams can help organizations unlock innovations that allow them to adapt to market changes quickly and drive business growth.
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.
Dataiku
DECEMBER 18, 2020
When we were looking ahead to 2020 at the end of last year, everything was about scale and becoming bigger, better, and bolder. After a tumultuous year, teams are undoubtedly more focused on retooling, finding creative ways to collaborate efficiently, and working in a new (and ever-evolving) world. When things return to status quo, that need to collaborate isn't going to go away.
Analytics Vidhya
DECEMBER 15, 2020
Overview Here is a list of Top 15 Datasets for 2020 that we feel every data scientist should practice on The article contains 5. The post Top 15 Open-Source Datasets of 2020 that every Data Scientist Should add to their Portfolio! appeared first on Analytics Vidhya.
Smart Data Collective
DECEMBER 17, 2020
How do your employees experience their professional lives? It’s a worthwhile question, yet one that can seem frustratingly vague or hard to measure – but it doesn’t have to be. Rather, as software companies craft new employee experience (EX) platforms designed around communication, data management, and feedback collection, businesses now have access to the perfect tools.
TreehouseTechGroup
DECEMBER 23, 2020
When as the last time you used a product that was not produced, marketed, or distributed digitally? It will surely be an effort to think of one. The rapid rate of change the world is seeing in all ways of living and working today is unlike ever before. From the largest conglomerates to startups, every… The post IT Transformation Vs. Digital Transformation appeared first on Treehouse Tech Group.
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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.
DataCamp
DECEMBER 16, 2020
In 2021 and beyond, we’ll see better tooling across the spectrum of data fluency, higher emphasis on skills, and greater access to data across organizations.
Cloudera
DECEMBER 11, 2020
In a previous blog post on CDW performance, we compared Azure HDInsight to CDW. In this blog post, we compare Cloudera Data Warehouse (CDW) on Cloudera Data Platform (CDP) using Apache Hive-LLAP to EMR 6.0 (also powered by Apache Hive-LLAP) on Amazon using the TPC-DS 2.9 benchmark. Amazon recently announced their latest EMR version 6.1.0 with support for ACID transactions.
Jet Global
DECEMBER 21, 2020
With 2020 being such an unusual and unexpected year, we’re looking back on our top content from the past 12 months. The lessons we have all learned from the changes 2020 brought can give you an advantage in 2021. COVID-19 brought a new urgency to financial reporting, with businesses needing to have an accurate view of their cash flow in order to inform future planning.
Analytics Vidhya
DECEMBER 12, 2020
Introduction Read this article on machine learning model deployment using serverless deployment. Serverless compute abstracts away provisioning, managing severs and configuring software, simplifying model. The post Machine Learning Model – Serverless Deployment appeared first on Analytics Vidhya.
Advertiser: Data Robot
The buzz around generative AI shows no sign of abating in the foreseeable future. Enterprise interest in the technology is high, and the market is expected to gain momentum as organizations move from prototypes to actual project deployments. Ultimately, the market will demand an extensive ecosystem, and tools will need to streamline data and model utilization and management across multiple environments.
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