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Synthetic Data: A Passing Trend or the Future of AI?

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, 2024
# AI / ML
# Big Data
# Data Science
Step-by-Step Guide to Creating Your Own Large Language Model

LLMs 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, 2024
# AI / ML
# Big Data
# Data Science
MLOps as The Key to Efficient AI Model Deployment and Maximum ROI

Ever 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, 2024
# AI / ML
# Data Science
Turning Chaos into Clarity: Mastering Unstructured Healthcare Data with AI

Healthcare 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, 2024
# Data Science
# Healthcare
From Insights to Action: The Role of Predictive Analytics in Business Transformation

Predictive analytics uses historical data and techniques like statistical modeling and machine learning to predict future outcomes. It provides accurate forecasts, helping organizations predict trends and behaviors from milliseconds to years ahead. The global predictive analytics market was valued at 14.71 billion U.S. dollars in 2023 and is projected to grow from 18.02 billion U.S. dollars in 2024 to 95.30 billion U.S. dollars by 2032, with a compound annual growth rate (CAGR) of 23.1% during

Published: June 12, 2024
# AI / ML
# Big Data
# FinTech
# Healthcare
# Manufacturing
# Marketing
# Retail / E-commerce
Top Computer Vision Opportunities and Challenges for 2024

Computer vision (CV) is a part of artificial intelligence that enables computers to analyze and understand visual information, both images and videos. It goes beyond plain “seeing” an image, but teaches computers to make decisions based on what they see. The AI-driven computer vision market is experiencing rapid growth, rising from $22 billion in 2023 to an expected $50 billion by 2030, with a 21.4% CAGR from 2024 to 2030. This technology imitates human vision but works faster using sophisticate

Published: March 8, 2024
# Computer Vision
# AI / ML
AI Revolution in EdTech: AI in Education Trends and Successful Cases

The usage of Artificial Intelligence in the world of Education Technologies is totally changing the learning approach, offering truly innovative solutions that transform the experience of students and teachers. AI-based solutions are bringing the education industry to a new level by enhancing the learning experience, making it more personalized, interactive, and efficient. Through the last few years, AI has started gaining popularity in many fields, and the EdTech industry is not an exception: a

Published: September 12, 2023
# EdTech / LMS
Bridging Innovation and Collaboration in Healthcare: SciForce at OHDSI Symposium 2024

After 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, 2024
# Healthcare
# Data Science
# Big Data
Hot Topics at Interspeech 2024: The Latest in Technology of Spoken Language Processing

Our team recently attended the 25th Interspeech Conference, held from September 1st to 5th on Kos Island, Greece. This year’s theme, "Speech and Beyond," highlighted new developments in speech technology, focusing on areas like healthcare diagnostics, virtual assistants, and even animal sound recognition. It was a great opportunity for experts worldwide to share their work and discuss the latest trends. Here are some of the key topics and insights we gathered from the event. A major topic at the

Published: October 1, 2024
# AI / ML
# Speech Processing
Say Goodbye to Equipment Failures: Top Predictive Maintenance Trends for 2025 to Reduce Production Downti

Predictive 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, 2024
# AI / ML
# Manufacturing
# Data Science