Availability of large datasets A significant driver of deep learning is the availability of large datasets and the ever-improving hardware. They enable models to be trained with many millions of parameters.
Spectacular breakthroughsOver the last ten years there have been spectacular breakthroughs in many application areas, such as image and language recognition, text analysis and AI gaming.
Software learns to recognize patternsDeep learning is when software learns to recognize patterns in the (digital) representation of images, sounds and other data.
Properly recognized with higher probabilityWhen training a neural network, feature representations are learned layer by layer so that images or objects from the system, for example, can be properly recognized with higher probability.
Data-driven Business ConsultingDigital Transformation, Industry 4.0, Innovation management, Requirement & Readiness Assessment
Machine Learning / Artificial IntelligenceDeep Learning, Natural Language Processing, Predictive Maintenance, Anomaly Detection, Recommendation Engines
Big Data Architecture, Development and Operations for NoSQL ecosystemsArchitecture and implementation of data infrastructures, Data Lakes, Data Pipelines, IoT Platforms, BI to Big Data Migration (Hadoop, Cassandra etc.)
