DataRobot Blog
JANUARY 29, 2020
by Jen Underwood. World Economic Forum’s 2020 Future of Jobs report continues to forecast a bright outlook for Data, AI, and Cloud Computing professionals. The Jobs of Tomorrow: Mapping Opportunity in the New. Read More.
Corinium
JANUARY 30, 2020
I remember getting excited when it came time for the carnival coming to town. There was always a positivity and goodwill in the air as families brought their little ones to try out the various rides and share a meal. One part you either loved or hated, but were never quite the same after you entered was the “fun” house or “house of horrors”. It was hilarious trying out the different mirrors; Some made you look short and stout, others tall and slim, and then there was the one made your head look
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Juice Analytics
JANUARY 27, 2020
A couple weeks ago I had the opportunity to present to a group of innovation leaders at The Disruption Lab event alongside my friend and Juicebox customer Gene Boerger of Preverity. The topic was a favorite of mine: Unlocking the Value in Your Data: A Case Study in Data Monetization. At Juice, we’ve worked with dozens of companies to create data products (download free our Checklist for Product Managers of Data Products ).
Dataiku
JANUARY 29, 2020
If you're a business, do you really want to bend over backwards to get 99 percent accuracy with a machine learning model when a simple linear regression that gets you 94 percent accuracy gets the job done? This episode of the Banana Data Podcast examines this very question, along with a discussion in becoming more ethical data scientists (plus, bonus: a section on federated learning in healthcare).
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
JANUARY 28, 2020
Overview Understand the structure of a Machine Learning Pipeline Build an end-to-end ML pipeline on a real-world data Train a Random Forest Regressor for. The post Build your first Machine Learning pipeline using scikit-learn! appeared first on Analytics Vidhya.
Corinium
JANUARY 30, 2020
Ahead of her presentation at CDAO UK, we spoke with Quantum Metric’s Marina Shapira about predictive analytics, why companies should embrace a culture of experimentation how and CAOs and CXOs can work together effectively. What is behavioural research? And what role should it play in an organization's data and analytics strategy? Behavioural research seeks to understand what motivates people, how they perceive the world, make decisions and form habit.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
erwin
JANUARY 30, 2020
I’m excited to share the results of our new study with Dataversity that examines how data governance attitudes and practices continue to evolve. Defining Data Governance: What Is Data Governance? . The 2020 State of Data Governance and Automation (DGA) report is a follow-up to an initial survey we commissioned two years ago to explore data governance ahead of the European Union’s General Data Protection Regulation (GDPR) going into effect.
Analytics Vidhya
JANUARY 26, 2020
Overview Regular Expressions or Regex is a versatile tool that every Data Scientist should know about Regex can automate various mundane data processing tasks. The post 4 Applications of Regular Expressions that every Data Scientist should know (with Python code)! appeared first on Analytics Vidhya.
Corinium
JANUARY 27, 2020
It’s easy to get excited about the many ways AI and advanced analytics will shape the future of healthcare. But the industry has a way to go before these technologies begin having a significant impact on the health of ordinary Americans. In the meantime, there’s a great deal that health organizations can be doing today to deliver better quality care with data.
DataRobot
JANUARY 27, 2020
In Super Bowl LIV this Sunday, the Kansas City Chiefs will face the San Francisco 49ers in Miami, Florida. This will be the first Super Bowl appearance for the Chiefs in 50 years. After a loss in 2013, the 49ers are looking to secure their sixth Super Bowl ring, which would tie them with the New England Patriots and Pittsburgh Steelers for the league record.
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.
Dataiku
JANUARY 31, 2020
Data scientists and business leaders building or using machine learning models and AI systems face a serious challenge today -- how to balance interpretability and accuracy stemming from the difference between black-box and white-box models.
Analytics Vidhya
JANUARY 27, 2020
Overview Learn how to perform text classification using PyTorch Understand the key points involved while solving text classification Learn to use Pack Padding feature. The post Build Your First Text Classification model using PyTorch appeared first on Analytics Vidhya.
Corinium
JANUARY 28, 2020
Coffee, a great medium for engaging in casual conversation with friends and associates in your network. Meeting up with a James the other day, James is a Chartered Accountant, we got to talking about his field of work.
Data Science 101
JANUARY 29, 2020
Previously, we looked at some Challenges of Data Science Projects. They can be difficult, and they do not alway succeed. Below are 3 techniques to help your next project become a data science success. 1. Start with a Plan. If you don’t know where you are going, you might end up someplace else. Yogi Berra. This quote by Yogi is humorous, but it is true.
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.
DataRobot
JANUARY 31, 2020
Climate change and catastrophic weather phenomena dominated much of the global headlines in 2019, with devastating reports of earthquakes, hurricanes, and other powerful forces of nature destroying homes and lives. Some of the starkest images were those of raging wildfires that wiped out not only homes but also huge swathes of natural land, from Australia to California and dozens of other countries in between.
Analytics Vidhya
JANUARY 29, 2020
Overview Activation function is one of the building blocks on Neural Network Learn about the different activation functions in deep learning Code activation functions. The post Fundamentals of Deep Learning – Activation Functions and When to Use Them? appeared first on Analytics Vidhya.
Data Science 101
JANUARY 31, 2020
Welcome to Cloud Data Science 5. There were not as many announcements as last week in Cloud Data Science 4 , but quantity is not what is important. The first announcement is big! Let’s get started. News. The Pandas library goes 1.0 Yes, it had not been at version 1.0 yet. Version 1.0 does not bring any major architectural changes. It marks a commintment by the community and development team.
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Teradata
JANUARY 27, 2020
People want control over their personal data, but are also willing to trade it away for convenience. When does the exploitation of our data become unethical? Read more!
Andrew White
JANUARY 29, 2020
I read an interesting article in today’s (Jan 28) US print edition of the WSJ. It was titled, “ High Speed Seen Increasing Costs of Stock Trading ”. The article explores what is called “latency arbitrage”. This is where certain ultra fast traders take advantage of new market data before the wider market can. The results can lead to very tidy profits for some; and what’s is seen as unfair losses or taxes on others.
Sisense
JANUARY 30, 2020
Blog. Every company is becoming a data company. In Data-Powered Businesses , we dive into the ways that companies of all kinds are digitally transforming to make smarter data-driven decisions, monetize their data, and create companies that will thrive in our current era of Big Data. Sisense is all about bringing together different types of data, different builders, and people of all kinds, to help them get more out of their data, make smarter decisions, and build products and services that make
MLWhiz
JANUARY 28, 2020
Algorithms and data structures are an integral part of data science. While most of us data scientists don’t take a proper algorithms course while studying, they are crucial all the same. Many companies ask data structures and algorithms as part of their interview process for hiring data scientists. Now the question that many people ask here is what is the use of asking a data scientist such questions.
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.
IBM Big Data Hub
JANUARY 30, 2020
Cloud Pak for Data, IBM’s leading data and AI platform, partners with Figure Eight to help companies address this growing sensitivity around data and make sure that security lies at the heart of any data-driven AI strategy.
Jet Global
JANUARY 31, 2020
If so, we would love to see you at our stand in Zone 5 or at our live presentation session on Wednesday morning.? We will be demoing how our range of products can connect to your Cloud or On-Prem Oracle system to deliver Flexible Reporting, Fast Analytics, and Controlled Budgeting Solutions inside Excel and via the Web. Our expert solution engineers will be available on the stand to show you how end users can create financial and operational reports, allowing for self-service reporting & ana
Sisense
JANUARY 25, 2020
Blog. SQL is one of the analyst’s most powerful tools. In SQL Superstar , we give you actionable advice to help you get the most out of this versatile language and create beautiful, effective queries. Every once in a while, a quick decision is made to store data in a comma-separated fashion, and the SQL analyst is left to pick up the pieces during analysis.
John Wheeler
JANUARY 30, 2020
2020 marks Gartner’s fifth year of integrated risk management (IRM) technology coverage and the market continues to grow at a rapid pace. In fact, the spectrum of IRM technology solutions is increasing due to digital transformation efforts in companies of all sizes. As a result, IRM technology and services market forecast for 2020 is $7.3 billion with projected growth to $9.3 billion by 2023 (see figure below).
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.
IBM Big Data Hub
JANUARY 28, 2020
Any financial services firm using AI must revisit its approach to model risk management. The reason is that AI models are evolving faster than the rules-based models that were standard previously. If AI models perform inadequately, major operational losses can grow quickly. Watson OpenScale helps organizations validate and monitor AI models to enhance compliance with regulations, provide fair and explainable outcomes, and mitigate business risk.
Andrew White
JANUARY 29, 2020
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. Ted Friedman’s new note in December on making data migrations boring (as in simple and risk-free) re-entered the charts as our most read-D&A piece of research last week!
Sisense
JANUARY 26, 2020
Blog. The modern manufacturing world is a delicate dance, filled with interconnected pieces that all need to work perfectly in order to produce the goods that keep the world running. In Moving Parts , we explore the unique data and analytics challenges manufacturing companies face every day. Building an accurate predictive analytics model isn’t easy.
Smarten
JANUARY 28, 2020
Predictive Analytics Can Be Accurate and Easy! Predictive analytics is more refined, more dependable and more comprehensive than ever. The foundation for predictive analysis is a great predictive analytics tool, and features and function that include assisted predictive modeling. Assisted Predictive Modeling allows users to take advantage of auto-recommendations and auto-suggestions which greatly simplifies the process of getting the right results from the data and using the right analytical tec
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