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).
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
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.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
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.
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.
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📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.
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.
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.
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!
Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com
Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.
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.
Smart Data Collective
JANUARY 27, 2020
The market for affiliate marketing is expected to reach $8.2 billion by 2022. AI is making it easier than ever to succeed in this growing field. The application of Artificial intelligence and Business Intelligence in affiliate marketing has been actively discussed for quite a time. No wonder, more or less but the majority of marketers have already applied them both at their campaigns.
DataRobot
JANUARY 29, 2020
Introducing New Partnership with Robotics Process Automation (RPA) vendor with Blue Prism. DataRobot is pleased to announce our new partnership with RPA vendor Blue Prism. Blue Prism has been a leading RPA vendor since its founding in 2001. They provide a highly scalable and robust platform, enabling additional technologies such as AI.
Sisense
JANUARY 29, 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. When you are new to programming in SQL, you will come across a lot of hard-to-search-for character operators. If you are prone to forgetting ~ is called tilde , are wondering why there are so many %s in your strings, or have a hard time googling what the (+) symbol in where users.group_id(+) = gro
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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.
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.
Smart Data Collective
JANUARY 29, 2020
Virtual reality (VR) is one of the most promising of today’s prominent technologies. While many conversations about the concept tend to revolve around the entertainment industry, companies are developing and implementing various types of VR across a range of industries. In the future, it may prove challenging to find a sector that doesn’t use virtual reality in some capacity.
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.
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
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
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
Smart Data Collective
JANUARY 29, 2020
The future of business relies heavily on big data advancements. One of the biggest strides that the technology sector has made for corporations involves the creation of the digital workplace with AI, machine learning and other big data tools. This new work environment functions exclusively in a virtual world. Business owners use digital workplaces to organize their company documents and provide employees with continuous access to files.
IBM Big Data Hub
JANUARY 29, 2020
The latest edition for the Analytics Hero blog series.
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.
Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network
In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.
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