Analytics Vidhya
DECEMBER 21, 2020
This article was published as a part of the Data Science Blogathon. Introduction In today’s time, an enormous amount of data is created in. The post A Quick Guide to Data science and Machine Learning appeared first on Analytics Vidhya.
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.
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Analytics Vidhya
DECEMBER 21, 2020
Overview Have a look at the top AI and ML conferences of the year Go through the resources attached with them for a better. The post Top Highlights from 10 Powerful Machine Learning Conferences in 2020 appeared first on Analytics Vidhya.
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.
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.
Analytics Vidhya
DECEMBER 21, 2020
This article was published as a part of the Data Science Blogathon. Photo by h heyerlein on Unsplash Introduction Similar to rule-based mathematical. The post Model Risk Management And the Role of Explainable Models(With Python Code) appeared first on Analytics Vidhya.
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.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Jet Global
DECEMBER 21, 2020
2020 has certainly presented a thorough set of new challenges for tax departments, often requiring them to work even harder in response to the global market fluctuations and changing tax regimes caused by the fallout from COVID-19. Due to the pandemic, governments had to continuously adapt their tax regulations and policies in a bid to support their economies, but this required tax teams to keep in step.
Tim Mitchell
DECEMBER 21, 2020
In my last ETL Antipatterns post, I wrote about the unexciting but very necessary work of documenting ETL processes. The logging of ETL operations is just as (un)captivating as documentation, but is equally as important in the support of data movement and transformation processes. In this post, I’ll discuss a common misstep in ETL process management: ignoring the logs.
Teradata
DECEMBER 21, 2020
Data is the lifeblood of organizations, bringing information to various departments and functions. Keeping data healthy can be simple with good hygiene, but this is easier said than done.
Dataiku
DECEMBER 21, 2020
This was the first full year of operation for the AI Lab, and it has undoubtedly embedded Dataiku into the machine learning (ML) research community. Here’s what we were up to in 2020 and how you might see this research impact the broader world of ML as well as the direction of Dataiku’s offerings to come.
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.
Alation
DECEMBER 21, 2020
The post How to Evaluate Data Catalog Software appeared first on Alation.
Cloudera
DECEMBER 21, 2020
There has been an e-commerce explosion this year as consumers seek safety and convenience from the comfort of their own homes using digital tools to purchase everything from durable hard goods to fashion accessories to daily living consumables like food perishables, cleaning products and even school supplies. In a 2020 study by Facebook and Bain & Co , approximately 310 million customers in Southeast Asia (ASEAN) are expected to shop online with an average spend of US$172 this year, compared
Jet Global
DECEMBER 21, 2020
We all know the old adage that says “don’t put all of your eggs into one basket.” In the more modern terminology of business, we could rephrase that to say “be careful about concentration risk.”. When an organization is too reliant on one company or market segment to drive revenue or ensure an adequate product supply, it creates concentration risk. In other words, it increases the likelihood that a single point of failure can have a big impact on sales, the supply chain, or the financial health
Cloudera
DECEMBER 21, 2020
Our annual Data Impact Awards are all about celebrating organizations that are unlocking the maximum value from their data in order to drive the business forward. One category that highlighted some fantastic examples of customers doing just that, was The Enterprise Data Cloud award. While data has become crucial in helping businesses weather the storm in the last few months, it’s also been more challenging to manage due to the speed and volume in which it’s produced.
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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