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2 min read

A Quantamental Journey

By Gurinder Tamber on Jul 27, 2020 8:15:00 AM

Fundamental analysis continues to face numerous challenges. The COVID-19 crisis has led to delayed earnings, repeated analyst revisions, suspended dividends, and the absence of earnings guidance.  Quantitative analysis has long sought to encroach on this territory with its rock-star math. But quant trading models and strategies that mostly rely on pattern recognition can run afoul of the cardinal sin of overfitting. They may also fail to adequately control for political, structural, and behavioural idiosyncrasies.    

Topics: machine learning in investment finance
3 min read

Tapping into the hidden potential of text data

By Dr. Tomasz Rudny on May 27, 2020 1:48:48 PM

Machine Learning has become more and more popular. It's become accessible to a wider variety of users. And it is getting better and better at handling data - whether big or small. However one thing remains true about the data used in analysis - it is, most of the time, structured. Regardless of whether the data is stored in Excel spreadsheets, relational databases or big data repositories, it is structured.  That is to say,  it comes in the form of columns and rows of numbers, categories or labels. 

Topics: Data preparation Natural Language Processing Text Analysis
2 min read

Using NLP to unlock hidden meaning

By Dr. Bernardo Perez Orozco on May 22, 2020 10:11:23 AM

An interview with Dr. Bernardo Perez Orozco

Q. Bernardo your upcoming webinar is titled "Using NLP to unlock hidden meaning in the data you already have." What are you going to cover?

A. Historically, the information-value of free-text has mostly been out-of-reach for automated solutions. However, recent developments in Machine Learning – Natural Language Processing in particular – have made it increasingly possible to extract hidden treasures from free text via automation. This development resets some practical boundaries. I’ll show an example of how this works, using Mind Foundry’s Analyze platform and a set of news stories.

Topics: AI Webinar NLP Natural Language Processing Text Analysis
2 min read

Systematic Portfolio Analysis and Construction With Time-Series Data

By Stanley Speel on May 13, 2020 4:30:28 PM

Topics: data science finance Investment
2 min read

Data Preparation Tips for Consumers' Data

By Madeleine Neil Smith on May 5, 2020 3:11:10 PM

Topics: data science Webinar Data preparation machine learning for marketing
2 min read

Interview: A business take on the data-science pipeline

By Dr. Alessandra Tosi on Apr 28, 2020 3:18:58 PM

An Interview with Dr. Alessandra Tosi

Topics: machine learning artificial intelligence in business data science Webinar
1 min read

Keeping Machine Learning Algorithms Humble and Honest

By Dr. Davide Zilli on Mar 3, 2020 11:26:47 AM

Today in so many industries, from manufacturing and life sciences to financial services and retail, we rely on algorithms to conduct large-scale machine learning analyses.

They are hugely useful for problem-solving and beneficial for augmenting human expertise within an organization. But they are now under the spotlight for many reasons – and regulation is on the horizon. Gartner projects that four of the G7 countries will establish dedicated associations to oversee artificial intelligence and ML design by 2023.

3 min read

5 Reasons Why You Can Better Understand Your Data with AI

By Dr. Davide Zilli on Jul 17, 2019 2:25:00 PM

Many organizations still watch from the sidelines as competitors transform their understanding of data with AI. Why is this? 

Topics: artificial intelligence in business data AI
5 min read

7 Myths about AI in Business: Busted

By Paul Reader on Jul 10, 2019 2:23:04 PM

Artificial intelligence (AI) is a divisive topic, and many myths have emerged in the media, on social platforms and even in academia. Some people fear that implementing AI in business would end the need for any human workforce, while others see nothing more than a buzzword. It can be hard to separate fear mongering from fact.

Topics: artificial intelligence in business Augmented AI AI
2 min read

Augmenting the MSL with AI in Life Sciences

By David Bennett on Jul 2, 2019 8:00:00 AM

By engaging with the right medical experts as early as possible in a drug’s lifecycle, pharmaceutical companies can gain enduring competitive edge. However, despite medical affairs departments continually undergoing profound change and growth, studies show 50% of new drug launches fail to meet company expectations. Could embracing AI in life sciences help to tackle this trend?

Topics: life sciences AI
4 min read

How to Use Machine Learning to Forecast Adverse Drug Reactions

By Charles Brecque on Jun 28, 2019 9:54:48 AM

When patients suffer unintended reactions to medicines, it can be both dangerous for the individual and costly to society. However, what if medical professionals could use machine learning to forecast adverse drug reactions (ADRs) and minimise risks to patients?

Topics: life sciences
2 min read

The Layman's Guide to the Data Science Journey

By Charles Brecque on Jun 25, 2019 7:00:00 AM

For the past five years, data science has been praised as a technology that can unlock new applications and hidden insights for organisations. However, today it is struggling to live up to expectations.

Topics: machine learning data science
2 min read

The Value of Machine Learning in Clinical Trials

By Charles Brecque on Jun 17, 2019 11:11:29 AM

Clinical research data plays an essential role in the pharmaceutical industry, but can also eat up resources in terms of time and money. However, by utilising machine learning in clinical trials, efficiency can be drastically improved, enabling faster and more cost-effective drug development and better patient outcomes.

Topics: machine learning life sciences
2 min read

What is Augmented Intelligence and Why  Should You Embrace It?

By Tomasz Rudny on Jun 13, 2019 8:00:00 AM

The internet can seem full of scare stories and science fiction, but what is augmented intelligence really going to do to transform our lives in the near future?

Topics: Augmented AI
2 min read

Artificial Intelligence in Life Sciences: Marketing, Sales and More

By David Bennett on Jun 11, 2019 1:55:37 PM

When we consider the role of artificial intelligence in life sciences, it already has a proven track record as an effective tool to support pharmaceutical research. However, companies are also moving fast to explore the transformational impact it can have on their commercial operations, such as sales and marketing.

Topics: life sciences
2 min read

10 Machine Learning Applications Helping Humans With Data Overload

By Charles Brecque on Jun 7, 2019 10:05:53 AM

Find out how to manage and extract value from your data with these powerful machine learning applications...

Topics: machine learning
3 min read

4 Ways Data Scientists in Finance Can Improve Efficiency and Accuracy

By Charles Brecque on May 30, 2019 10:00:00 AM

It's notoriously difficult to extract any predictive power or "alpha" from your data in finance. When you do, it often quickly decays because the predictive power is also being mined by other Data Scientists or Quants out there.

Topics: data science machine learning in investment finance
3 min read

3 Data Problems You Might Not Even Know You Have (and How to Fix Them)

By Charles Brecque on May 29, 2019 8:30:15 AM

According to the Economist and industry leaders such as Andrew Ng and Google's CEO Sundar Pichai, data has become the new oil and machine learning the new electricity. 

Topics: data science data
2 min read

Machine Learning Will Not Replace Investment Managers

By Charles Brecque on May 28, 2019 10:00:00 AM

Machine learning has the potential to transform our world, just as electricity transformed almost everything around a century ago. However, it's hard to imagine how your profession will be affected. So, let's consider the potential of machine learning for investment managers.

Topics: artificial intelligence in business machine learning in investment finance
3 min read

What is Humanized Machine Learning and Why Should you Care?

By Paul Reader on May 24, 2019 2:31:43 PM

While machine learning has been around for decades, it has swiftly become a major buzzword in recent years. Following in the footsteps of 'digital transformation', many businesses are struggling to comprehend the intrinsic value of machine learning and the ways in which it can be implemented successfully.

Topics: machine learning
2 min read

Are Investment Managers Asking the Right Questions of their Data?

By Charles Brecque on May 21, 2019 2:19:06 PM

Far from replacing human expertise, machine learning in the investment world will allow professionals to better differentiate themselves based on the questions they ask. However, the nature and quality of the questions asked can have a huge impact on the relevance of the results.

Topics: machine learning in investment finance
2 min read

Data Hero: Are you Asking the Right Questions of your Data?

By Charles Brecque on Apr 11, 2019 11:55:55 AM

Businesses spend a lot of their time trying to get the RIGHT answers from their data.

Digital transformation and the capabilities of large data collection have promised them actionable insights that will make them more profitable, more competitive and in the land of buzzwords, more future proof.
Topics: machine learning artificial intelligence in business
2 min read

Forecasting Stock Price Swings with Machine Learning and Social Media

By Charles Brecque on Feb 21, 2019 11:40:00 AM


You might assume that machine learning and social media are very different elements of the business world. However, with consumers able to connect and voice their opinions and experiences through social media, any brand’s reputation can be made or broken based on its digital strategy. 

Topics: machine learning in investment
11 min read

Value Investing with Automated Machine Learning

By Charles Brecque on Jan 30, 2019 10:00:00 AM

This case study will show how value investors can easily increase their certainty by investing with machine learning. To do this, we will use Mind Foundry’s automated data science platform,  which augments analysts and transforms them into data science heroes.

Topics: machine learning in investment finance
5 min read

Bayesian Optimization can help Quantum Computing become a reality

By Charles Brecque on Jan 8, 2019 9:21:00 AM

Quantum computers have the potential to be exponentially faster than traditional computers, revolutionising the way we currently work. While we are still years away from general-purpose Quantum Computing, Bayesian Optimization can help to stabilise quantum circuits for certain applications. This blog will summarise how Mind Foundry Optimize did just that.

Topics: bayesian optimization
5 min read

How to Ace Cold Calling with Machine Learning

By Charles Brecque on Dec 7, 2018 9:23:00 AM

Outbound sales can be a resource-heavy task, but can you perfect the art of cold calling with machine learning?

Topics: machine learning artificial intelligence in business
4 min read

Perfect Credit Card Clustering with Machine Learning Models

By Charles Brecque on Dec 5, 2018 9:23:00 AM

The top challenge faced by marketers is understanding who they are selling to. Once you know your buyer personas, you can tailor your targeting and offerings to increase their satisfaction and your revenue as a result. When you already have a pool of customers and plenty of data, it can be incredibly useful to segment them.

Topics: machine learning
6 min read

Optimize your email marketing strategy with machine learning

By Charles Brecque on Nov 21, 2018 4:00:00 PM

Optimising marketing spend is a billion dollar question for businesses all over the world. It can be difficult to untangle the relationship between marketing budgets, campaigns and resulting sales, with so many competing internal and external forces at play. However, businesses can improve their marketing with machine learning. I'll explain more below.

Topics: machine learning artificial intelligence in business data science
5 min read

Machine learning can predict international visitor spend in London

By Charles Brecque on Oct 23, 2018 9:22:00 AM

Last year, 39.2 million people from abroad visited London, making it one of the most popular destinations in the world. The UK Office for National Statistics releases quarterly international visitor data, which includes countries of origin, duration,  purpose of stay and even spend. We used Mind Foundry to visualise this data and build a machine learning model which can predict international visitor spend.

Curious to find out which features are most relevant? 

Topics: machine learning
7 min read

Solving the Kaggle Telco Customer Churn Challenge

By Charles Brecque on Oct 17, 2018 9:22:00 AM

Customer churn, which occurs when clients decide to cancel or not renew their subscription, can be a nightmare for most businesses. New client wins can cost 5-25 times more than customer retention, so its important to identify which customers are at risk of churning and take the right actions to keep them on side.

Topics: machine learning artificial intelligence in business
6 min read

How active learning can train machine learning models with less data

By Charles Brecque on Oct 9, 2018 2:00:00 PM

Even with massive computational resources, it can take hours, days or even weeks to train machine learning models on large data sets. This is expensive and a burden on your productivity. But what if we utilise active learning?

Topics: bayesian optimization
9 min read

Visualizing Black Box Optimization Problems in Machine Learning

By Charles Brecque on Oct 3, 2018 2:00:00 PM

Black box optimization in machine learning is a pretty common scenario. More often than not, the process or model we are trying to optimize does not have an algebraic model that can be solved analytically.

Topics: bayesian optimization
6 min read

Demystifying Hyper-Parameter Tuning: What it is and why it’s natural

By Charles Brecque on Oct 1, 2018 1:59:00 PM

Hyper-parameter tuning can be observed in many everyday processes, but few people are aware of its existence. This blog aims to change that, and demonstrate its true value in data science.

Topics: machine learning artificial intelligence in business data science bayesian optimization











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