Matt Fornito Trace3 This Week in Health IT

Matt Fornito

Head of Artificial Intelligence

Trace3

Matt Fornito is Head of Artificial Intelligence at Trace 3. A strategic thinker that leverages data to make decisions.

I adhere to four guiding principles:
(1) Impact: I want to make a difference in the lives of people I meet and drive business decisions across organizations.
(2) Influence: I strive to share thought leadership around artificial intelligence, especially at the intersection of data science and psychological behavior to produce remarkable outcomes.
(3) Continuous Learner: not only do I love learning for learning’s sake, but I enjoy connecting the dots.
(4) Autonomous Competence: I work hard to earn trust and support from leadership, colleagues, and subordinates. This is done through becoming competent and proficient in the domain space and having the capacity to learn new things that will increase my propensity for success.

Program Competencies: Python, R, SPSS, SAS, Stata, Python, PyTorch, Tensorflow, Teradata, SQL, Hadoop, Hive, Impala, Spark, AWS, Azure, Google Cloud

Quantitative Specialties:
Data Mining, Statistical Modeling, Customer Segmentation, Multivariate Analysis, Longitudinal Analysis, Linear Regression, Logistic Regression, MARS, Lasso/Ridge/ElasticNet, Factor Analysis/PCA/EFA/CFA, Machine Learning, Decision Trees, Random Forests, GBM, SVM, Neural Networks, Text Analysis (e.g. NLP & LDA), Hypothesis Testing / Research Questions, Survey Design / Statistical Methods, Deep Learning, GANs, LSTM, CNNs, RNNs, Artificial Intelligence

You can contact Matt Fornito for consulting/contract work, speaking engagements, and mentorship/advice questions at [email protected]

Contributions

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How Trace3 Partners with Organizations to Reach a Mature AI Framework

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Who Do You Need on Your Team for a Successful AI Strategy

One of the biggest gaps that I see within organizations is when there’s NOT a senior leader that is passionate about the value data and what it can provide. As much as I love AI, AI can’t exist without the data. At the end of the day, it’s math and science with some art mixed in but it’s the data that’s really telling. So if you have an AI champion evangelizing and promoting that with the right team framework, the right hardware and software applications and the right processes for that organization to be successful, then they’re going to do so.
At the end of the day, or at the end of this light in the tunnel, what we want to do is ultimately stop treating the disease and treat the patient holistically. And if we can do that using augmentation through AI, we should be able to reduce costs, reduce the number of treatments and other associations for diagnosis and get a patient in and out the door, faster and happier.

Amplify great thinking to propel healthcare forward and raise up the next generation of health leaders.

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