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What if businesses could access unlimited, high-quality data without privacy risks or tedious preparation? Synthetic data is making this possible, offering a scalable, efficient alternative to real-world data. Gartner predicts synthetic data will surpass real data in AI model training by 2030, with the market growing from $351.2 million in 2023 to USD 2,339.8 million by 2030, at a CAGR of 31.1%. Data preparation is a major hurdle, with data scientists spending over 60% of their time cleaning and
Published: December 9, 2024After an exciting time at the 10th Annual OHDSI Global Symposium at the Hyatt Regency in New Brunswick, NJ, SciForce is coming back with new energy! With over 470 experts gathered from around the world, our team, led by Polina Talapova, explored the latest tools and methods in OHDSI and OMOP. We tackled topics like data conversion, geospatial vocabularies, and Jackalope benchmarking, gaining valuable insights and sharing strategies to help move healthcare research forward. Educational Tutorial (
Published: November 8, 2024Predictive maintenance (PdM) is quickly becoming a must-have for industries looking to avoid the headaches of unexpected equipment failures. Imagine a manufacturing plant where a critical machine breaks down suddenly, halting production and costing thousands of dollars per hour in lost output. PdM helps prevent these costly surprises by predicting when equipment might fail, reducing downtime, and keeping operations running smoothly. As more businesses realize the benefits of catching problems be
Published: September 24, 2024LLMs are enabling computers to understand and generate human-like text, making them indispensable in industries ranging from customer service to content creation. The global market for LLMs is expected to skyrocket from $1.59 billion%20market%20size%20in%20terms%20of,79.80%25%20during%202024%2D2030.) in 2023 to $259.8 billion by 2030, with North America alone projected to hit $105.545 million by 2030. The dominance of the top five LLM developers, who currently hold 88.22% of the market revenue,
Published: September 4, 2024Ever wonder why so many machine learning (ML) models never see the light of day? Despite their huge potential, only 32% of data scientists say their models usually get deployed. Even more shocking, 43% report that 80% or more of their models never make it into production. This means many businesses miss out on the full value of their AI projects. Imagine a retail company spending months developing a sophisticated customer recommendation system, only for it to never be implemented—losing out on p
Published: August 7, 2024Healthcare providers manage an enormous volume of data daily, approximately 137 terabytes, most of which is unstructured. This includes a wide array of formats such as medical images, clinical notes, and genetic test results. Unstructured data, crucial for patient care, poses significant challenges due to its complexity and the varied sizes of its components. The volume of healthcare data is rapidly increasing, fueled by the widespread adoption of electronic health records and advances in medica
Published: July 17, 2024Since 2015, Sciforce has been an active contributor to the OHDSI scientific community. Our medical team is consistently at the forefront of OHDSI events, sharing groundbreaking research and driving advancements in health data harmonization that empower better health decisions and elevate care standards. The fall event was no exception: from October 20 to 22 Polina Talapova, Denys Kaduk, and Lucy Kadets were delegated as our company representatives to the Global OHDSI Symposium with more than 440
Published: November 1, 2023Each nation has its ancient monument or a pagan holiday — the relic of the days when our ancestors tried to persuade their gods to give them more rain, no rain, better harvest, fewer wars and many other things considered essential for survival. However, neither Stonehenge nor jumping over fire could predict the gods’ reaction. It was a totally reactive world with no forecast. However, as time passed, people started to look into the future more inquisitively trying to understand what would be wai
Published: March 21, 2020Current advances in technology are in many ways fueled by the growing flow of data coming from multiple sources and analyzed to create competitive advantage. Both individual users and businesses are switching to a digital system¹, which in turn generates pools of information. In their turn, organizations share data with other companies, giving rise to digital ecosystems that begin to blur traditional industry borders. As the amount of data available grows, the size, diversity, and applications o
Published: March 5, 2020If we think of the most successful and widespread applications of machine learning in business, one of the examples would be recommender systems. Each time you visit Amazon or Netflix, you see recommended items or movies that you might like — the product of recommender systems incorporated by these companies. Though a recommender system is a rather simple algorithm that discovers patterns in a dataset, rates items and shows the user the items that they might rate highly, they have the power to b
Published: February 7, 2020