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Data Science’s Great Compression and its Next Frontier
In US history, the period after the great depression became known as the Great Compression. It was a time when things like income inequality reduced, and households became much more prosperous and able to maneuver financially within the market. Much like that period of history, data... Read more
Data Science for Risk Management in a Global Market
Monetizing in a global market is challenging. Many organizations hope that by the time an opportunity arises, they’ll have a plan in place to handle both the risk and opportunity of monetizing any new market  by using data science for risk management Prabhu Sadasivam’s 2019 talk... Read more
Top 5 Applications of Machine Learning in Healthcare
Machine learning (ML) is a branch of artificial intelligence (AI), where computer systems independently find solutions to complex problems using recurring patterns in databases. Put differently, machine learning helps IT systems to recognize patterns from existing algorithms and datasets, then go ahead and develop appropriate solutions.... Read more
Expanding Nonprofit Workforce with Deep Learning
If you were going to ask the person next to you for money, what would you want to know about them? According to David Woodruff of MIT and Rich Palmer of Gravyty, this is a vital question in a 400 billion dollar industry. When you think... Read more
What is a Data Hero to Do?
Data Heroes face many challenges today because data is everywhere!  The data ecosystem continues to expand, is more distributed – on-premises, in the cloud, in-stream, on-edge – and more varied than ever.  Business needs are driving new demands from analytics and AI, and these needs all... Read more
ModelOps – AI Model Operationalization for the Enterprise
We’re seeing a growing number of large enterprises working to scale up their use of machine learning algorithms (statistical models) over the past few years. Increasingly, enterprises are relying on machine learning models to turn huge volumes of data into competitive insights and information. However, one... Read more
Organizations that can interpret and analyze data are equipped to win in the digital economy. In the wake of COVID-19, Gartner says 69% of boards of directors have accelerated their digital business initiatives. Analytics is an important investment for the entire enterprise and organizations need to be... Read more
From Leader to Laggard: Four Areas Machine Learning is Disrupting Wall Street
Well-funded financial institutions are in a perpetual tech arms race, so it’s no surprise that machine learning is shaking up the industry. Investment banking, hedge funds, and similar entities are employing the latest machine learning techniques to gain an edge on the competition, and on the... Read more
Financial Forecasting 101: Why, When, And How
Financial forecasting is not only applicable for finance (as one might think). You also have to apply it for various product or marketing-related projects. It is the most common type of analysis and often functions as the foundation of getting growth rates for revenue data. You... Read more
Fields Hiring for Machine Learning Experts in 2021
As the distribution of the COVID-19 vaccine continues apace and it seems like we might return to some semblance of normal in 2021, we can see other indicators of positivity in the economy: namely in the data science job market. In particular, there seems to be... Read more