- Why BERT Fails in Commercial Environments - Mar 24, 2020.
The deployment of large transformer-based models in dynamic commercial environments often yields poor results. This is because commercial environments are usually dynamic, and contain continuous domain shifts between inference and training data.
- Would you buy insights from this guy? (How to assess and manage a Data Science vendor) - Nov 25, 2019.
With all the hype from data science vendors selling "actionable insights" to boost your company's bottom line, selecting your analytics partner should proceed through the same, careful process as any traditional business endeavor. Follow these questions and best practices to ensure you manage accordingly.
- Modelplotr v1.0 now on CRAN: Visualize the Business Value of your Predictive Models - Jun 21, 2019.
Explaining the business value of your predictive models to your business colleagues is a challenging task. Using Modelplotr, an R package, you can easily create stunning visualizations that clearly communicate the business value of your models.
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- Using the Economics Value Curve to Drive Digital Transformation - Dec 27, 2018.
Optimizing a single objective, or a single point, is actually quite easy because there are no conflicting objectives. The real business challenge, and the source of much innovation, is trying to optimize a decision across multiple variables. Let’s explore this further.
- Machine Learning in Action: Going Beyond Decision Support Data Science - Nov 20, 2018.
In order to disrupt business, machine learning models must adopt a product-focused approach, which is a much more significant undertaking.
- How to Solve the ModelOps Challenge - Oct 18, 2018.
A recent study shows that while 85% believe data science will allow their companies to obtain or sustain a competitive advantage, only 5% are using data science extensively. Join this webinar, Nov 14, to find out why.
- Evaluating the Business Value of Predictive Models in Python and R - Oct 11, 2018.
In these blogs for R and python we explain four valuable evaluation plots to assess the business value of a predictive model. We show how you can easily create these plots and help you to explain your predictive model to non-techies.
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- Data Science For Business: 3 Reasons You Need To Learn The Expected Value Framework - Jul 26, 2018.
This article highlights the importance of learning the expected value framework in data science, covering classification, maximization and testing.
- The Data Science Delusion - Nov 30, 2016.
Gleanings from observed technical misunderstandings between business leaders and data scientists (and among data scientists themselves) so dramatic that one could start wondering whether there is something wrong with data science as it is being practiced.
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- What is Your Data Worth? On LinkedIn, Microsoft, and the Value of User Data - Jun 20, 2016.
The recent announcement of Microsoft’s acquisition of LinkedIn has raised many questions about how Microsoft will monetize this data. We examine LinkedIn value per user and compare to Google, Facebook, Yahoo, and Twitter.
- The Unsung Hero – The Data Scientist - Dec 28, 2015.
The data scientist is not a magician to single-handedly solve all of the challenges an organisation may face. It is through the ability to change culture, behaviour and expectation that data science truly achieves its potential.
- Online Privacy – Why the Odds are Against You? - Nov 4, 2015.
Infographic on Data Brokers explains how personal information is collected and sold, leaving people with few options to opt-out of it.
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- Lavastorm Webinar: Using Data from Hadoop to Improve Your Business, Sep 24 - Sep 16, 2015.
Learn how to easily extract data from Hadoop, create a more comprehensive view of your business, and quickly turn business data into business insights.
- Upcoming Webcasts on Analytics, Big Data, Data Science – Sep 8 and beyond - Sep 7, 2015.
The Future of Data Science, Ensuring Business Value from Analytics, Apache Ignite, Text Analytics, Best Practices of Data Science, Forecasting With Predictive Analytics, and more.
- Strategies for Monetizing Big Data - May 19, 2015.
In the current tsunami of “Big Data” every business wants to get value out of the data. We examine four overarching data strategies and their specific monetization strategies.
- Top 10 References for applying Big Data and Analytics in Business - Aug 11, 2014.
See how businesses leverage data analytics for great gain to help others understand the business value of data science projects and provide examples to inspire your own data-driven projects.
- Data Discovery to Real Business Value – INFORMS Conference, June 22-24, San Jose - May 30, 2014.
Learn about how to achieve return on investment and real business value from your Big Data investments through the real-life case studies, insightful presentations, and lot more at the INFORMS Conference in San Jose.
- Three ways to extract business value from analytics - Apr 4, 2014.
Data Driven Business recently interviewed 9 corporate analytics experts from companies like Johnson & Johnson, L’Oreal Paris, and Google about current trends in analytics and what companies should focus on in 2014 and found 3 main area of focus.