3 min read
Adam Lichtl has been a member of Founders Network since February 2017. He’s also been a prominent FN member in our Los Angeles Chapter. To receive peer mentorship from Adam and over 600 fellow Tech Founders, please request an invite and join our global network.
After spending 3 years at SpaceX at their Director of Research, Founders Network member Adam Lichtl Co-Founded Delta Brain, a Pasadena-based AI startup focused on improving the delivery of cost-effective health care.
After scaling the Health Tech company over the last 3 years, Adam, along with industry experts from aerospace, finance, government, and healthcare, has launched Pacific Data Science, which enables companies of any size to realize the full benefits of cutting-edge analytics and machine learning.
According to a recent press release by EIN Presswire:
“The US-based consulting group helps their clients set up enterprise-grade data pipelines to solve complex automation, segmentation, prediction, scheduling, and resource allocation challenges. Pacific Data Science helps clients get the most value out of their data.”
“No matter the industry, companies are dealing with vast amounts of data that could help them make better decisions – if they know how to capture and use it to their advantage,” said Adam Lichtl, PhD, data scientist and founder of the company. “Unfortunately, there’s a huge gap between a demonstration model running on a laptop and a robust, real-time system running securely in the cloud. We’re unique in that we don’t sell a pre-packaged, do-it-yourself solution; rather, we offer the flexible expertise necessary to bridge that gap, so our clients don’t have to climb that risky, expensive learning curve alone.”
Pacific Data Science leverages industry-leading practices and technologies to solve tough challenges, and works with SQL, Python, BigQuery, TensorFlow, Hadoop, Spark, and more. Some real-world examples of where the company offers its expertise include:
Customer engagement: Advanced clustering algorithms can help digital marketing teams create hyper-personalized interactions with target consumers.
Dynamic pricing: Building on tried-and-true approaches from established industries, AI-powered revenue management models can drive higher sales with optimized profit margins.
Human resources: By working closely with in-house teams, Pacific Data Science can boost retention by identifying patterns in behavioral data that pinpoint risk factors for attrition.
Risk management: Increasingly savvy fraudsters can be met with equally savvy anomaly detection methods based on robust models that automatically adapt to rapidly changing fraud patterns.
Operations: From coffee shops to emergency rooms, Pacific Data Science can build custom solutions that combine historical data with complex operating constraints to reduce waste and overtime, and to create money-saving efficiencies through smarter resource allocation.
We are thrilled to see Adam take this next step in his journey to solve complex problems in the word of artificial intelligence and health care.
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