Analytics Vidhya
JANUARY 28, 2021
ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction As ML applications are maturing over time and becoming an. The post A Look at Machine Learning System Design appeared first on Analytics Vidhya.
Dataconomy
JANUARY 21, 2021
Augmented analytics: the combination of AI and analytics is the latest innovation in data analytics. For organizations, data analysis has evolved from hiring “unicorn” data scientists – to having smart applications that provide actionable insights for decision-making in just a few clicks, thanks to AI. Augmenting by definition means making. The post AI in Analytics: Powering the Future of Data Analytics appeared first on Dataconomy.
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Smart Data Collective
JANUARY 22, 2021
Big data is changing the space race in ways that original founders at NASA and other global space exploration organizations never foresaw decades ago. Miriam Kramer, an author with Axios, talked about the growing number of space companies that are finding new ways to utilize big data. They hope new advances in data technology will help them connect with new markets.
Tableau
JANUARY 26, 2021
Geraldine Zanolli. Developer Evangelist. Kristin Adderson. January 27, 2021 - 2:58am. January 27, 2021. Each month, our Developer Platform team pulls back the curtain on recent work to support our developer community during the monthly Tableau Developer Program Sprint Demos. As we start a new year, we’re excited to share important updates, including: Analytics extensions on Tableau Online, Tableau Server in a container, the new file format for Hyper API, and In-Product Extensions Gallery.
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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?
Dataversity
JANUARY 27, 2021
Click to learn more about author Amy O’Connor. Innovations in data-driven intelligence continue to power transformation initiatives for modern businesses. While these innovations improve how we collect, store, manipulate, and analyze data, that is not enough to fully leverage data. Being accurate, consistent, and contextual is crucial for unleashing the data’s full potential.
Data Science 101
JANUARY 25, 2021
Data Management with Scott Taylor. Scott, better known as The Data Whisperer , has spent over two decades solving DATA problems. Scott is an expert in Data Management and storytelling. He recently wrote a book, Telling Your Data Story, to help companies do just that. He is also a live streamer, video creator, podcaster, and entertaining person. Connect with Scott Taylor.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Dataconomy
JANUARY 5, 2021
Artificial intelligence saw rapid growth in 2020. The global pandemic and the resulting digital transformation forced upon companies and individuals as we moved from offices to homes accelerated AI usage and development. And it seems that this pace will not slow down in 2021. Here are a few predictions on. The post AI and data science predictions for 2021 appeared first on Dataconomy.
Smart Data Collective
JANUARY 20, 2021
We have talked at length about the importance of data analytics in the field of marketing. Data analytics offers many useful insights for companies striving to boost their market share. One of the best applications of data analytics is through enhanced account-based marketing. There are a lot of ways to use big data to get a better understanding of a target customer group, which is a vital part of any marketing strategy.
Tableau
JANUARY 20, 2021
Andy Cotgreave. Technical Evangelist Director, Tableau. Kristin Adderson. January 20, 2021 - 10:39pm. January 23, 2021. Happy New Year! Welcome to another year of reviewing the Best of the Tableau Web (BOTW). Can you believe we’re entering the 10th year of this blog series? I personally want to thank every person who shared a tip, detailed technique, analytics that inspired them, or some wacky piece of data art.
Dataversity
JANUARY 26, 2021
Click to learn more about author Vikas Mathur. COVID-19 exerted a disruptive impact on virtually every aspect of business across every sector — and supply chains were no exception. In a recent report, Deloitte said the pandemic might be “the black swan event that finally forces many companies, and entire industries, to rethink and transform […].
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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
Data Science 101
JANUARY 19, 2021
Stress-free Goal Setting with Deb Eckerling. Debra Eckerling is a goal-setting expert. She offers coaching, workshops, and online support for people looking to achieve goals in any aspect of life. She has organized conferences, served as an editor for numerous publications, and authored 3 books. Deb joined to talk about goal setting and her latest book, Your Goal Guide.
Analytics Vidhya
JANUARY 16, 2021
ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction to Naive Bayes algorithm Naive Bayes is a classification algorithm. The post A Guide to the Naive Bayes Algorithm appeared first on Analytics Vidhya.
Dataconomy
JANUARY 21, 2021
Artificial intelligence is becoming crucial for businesses that want to compete and survive. In fact, if you’re not using AI in 2021, there’s a good chance you lose out to your competitors. Of course, that makes AI development a highly sought after career, as more companies need to hire skilled. The post How to get started in AI development appeared first on Dataconomy.
Smart Data Collective
JANUARY 27, 2021
Cryptocurrencies have become very important in the modern economy. They have also created numerous opportunities for informed investors to create diversified portfolios and take advantage of a market for assets that provide an exceptional ROI. Machine learning technology has made cryptocurrency investing opportunities more lucrative than ever. The impact of machine learning on the market for bitcoin and other cryptocurrencies is multifaceted.
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
Tableau
JANUARY 20, 2021
Bergen Schmetzer. Academic Program Specialist, Tableau. Kristin Adderson. January 21, 2021 - 4:11am. January 21, 2021. Editor's note: This article originally appeared in Tableau Public. Iron Viz —the world’s largest data competition—was launched in 2011 in an effort to showcase the incredible talent of the Tableau Community. Since then, hundreds of data enthusiasts from around the world have participated for a chance to be crowned the Iron Viz Champion.
Dataversity
JANUARY 25, 2021
Click to learn more about author Venkat Eswara. Technology always evolves faster than our ability to adapt. AI is becoming mainstream in the consumer and enterprise sectors. So, it’s not a question of if but when AI will become the norm in the manufacturing sector. In fact, it already is. On the one hand, the COVID-19 pandemic has heightened […].
The Data Administration Newsletter
JANUARY 20, 2021
In the cloud-era, should you store your corporate data in Cosmos DB on Azure, Cloud Spanner on the Google Cloud Platform, or in the Amazon Quantum Ledger? The overwhelming number of options today for storing and managing data in the cloud makes it tough for database experts and architects to design adequate solutions. However, they […].
Analytics Vidhya
JANUARY 26, 2021
ArticleVideos This article was published as a part of the Data Science Blogathon. What is Data Science (DS)? Data Science is a blend of. The post An Quick Overview of Data Science Universe appeared first on Analytics Vidhya.
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.
Dataconomy
JANUARY 12, 2021
For many years now, becoming a data scientist has been the goal for many. Billed as the hottest role of the 21st century, data scientists are among the highest paid in the IT industry and one of the most scarce right now. In fact, according to Glassdoor, the average salary. The post Where Data Scientist Salaries are Headed in 2021 appeared first on Dataconomy.
Smart Data Collective
JANUARY 19, 2021
Blockchain is one of the most important technologies to shape the world. One of the biggest industries that has been affected has been finance. The market for blockchain technology in the financial sector is expected to reach over $3 billion by 2024. The question many experts are asking is: “what factors are driving the growth in blockchain in the financial industry?
Data Science 101
JANUARY 20, 2021
Starting a Data Career. If you are just starting a career in data, you will not want to miss this live interview. Join me as I speak with Henrique Senra from Simbiose Ventures to discuss the book, Getting Started with Data. The book was written out of a desire to provide a better future for low-income Brazilians. We will talk about. The story behind the book Tips for getting started with a data career Who the book is for Why now is a great time to learn data Henrique’s data journey Any que
Dataversity
JANUARY 25, 2021
Click to learn more about author Daniel Jebaraj. The purpose of any enterprise software application is to help businesses be more productive. And given the ever-growing number of applications of every stripe across every industry, you want the applications that you develop and sell to maximize the productivity of your customers. That’s the way to […].
Speaker: Kevin Kai Wong, President of Emergent Energy Solutions
In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.
Tableau
JANUARY 8, 2021
Sue Kraemer. Tableau Academic Programs Instructional Designer. Kristin Adderson. January 8, 2021 - 3:49pm. January 8, 2021. Bridge the data literacy gap for students in academia. Working with data is a necessity for most jobs, and analytical skills can be a huge differentiator for success across all kinds of work—whether corporate, nonprofit, or academic.
Analytics Vidhya
JANUARY 4, 2021
ArticleVideos Overview The data science industry is growing exponentially It is important to have a clear understanding of the very basic questions before you. The post 9 Tips for a Seamless Transition to Data Science for Absolute Noobs! appeared first on Analytics Vidhya.
Dataconomy
JANUARY 6, 2021
Many people are breathing a sigh of relief that 2020 is finally over. I’m hopeful that on a global scale, 2021 can eventually help us move on from the pandemic and from political turmoil to shape kinder societies where economic interests and citizens’ wellbeing are in balance. Data is and. The post 5 new year’s resolutions to improve how organizations work with data in 2021 appeared first on Dataconomy.
Smart Data Collective
JANUARY 6, 2021
If there’s one industry that had previously remained fairly untouched from the technological advancements, it is the sports domain. However, over time the sector is getting introduced with several new generation technologies intended to make it efficient and smart. We have recently seen a number of technological developments that have impacted sports.
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.
Data Science 101
JANUARY 15, 2021
I am super excited to have been invited as a guest on another live show. The #PirateBroadcast with Russ Johns. It will be happening January 15, 2021 at 8:00am Central Time. I would love to have you stop by if you are available. I will be talking more about my latest project, The Example Show and what I am working on in 2021. Plus, I would love to hear your questions.
Dataversity
JANUARY 18, 2021
Click to learn more about author Anastasios Arampatzis. DevOps is transforming how organizations develop software faster. DevOps utilizes agile methodologies to integrate and streamline the software development and operations process. The result is faster time to market and a more efficient development process. However, DevOps processes are challenging the way security integrates with fast development […].
The Data Administration Newsletter
JANUARY 5, 2021
Most data is not static. No, data has a life in which it changes, is used for perhaps multiple purposes, and gets moved all over the place. So, it makes sense to think about the lifecycle of your data at your organization. The accompanying diagram helps to demonstrate this lifecycle. Basically, there are three major […].
Analytics Vidhya
JANUARY 21, 2021
ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction “Machine intelligence is the last invention that humanity will ever. The post Understanding Architecture of LSTM appeared first on Analytics Vidhya.
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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.
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