[MINOR] Fix outdated readme SystemDS overview

Author: mboehm7

README.md

@@ -19,15 +19,12 @@ limitations under the License.
 
 # Apache SystemDS
 
-**Overview:** SystemDS is an open source ML system for the end-to-end data science lifecycle from data integration, cleaning,
-and feature engineering, over efficient, local and distributed ML model training, to deployment and serving. To this
-end, we aim to provide a stack of declarative languages with R-like syntax for (1) the different tasks of the data-science
-lifecycle, and (2) users with different expertise. These high-level scripts are compiled into hybrid execution plans of
-local, in-memory CPU and GPU operations, as well as distributed operations on Apache Spark. In contrast to existing
-systems - that either provide homogeneous tensors or 2D Datasets - and in order to serve the entire data science lifecycle,
-the underlying data model are DataTensors, i.e., tensors (multi-dimensional arrays) whose first dimension may have a
-heterogeneous and nested schema.
-
+**Overview:** Apache SystemDS is an open-source machine learning (ML) system for the end-to-end 
+data science lifecycle from data preparation and cleaning, over efficient ML model training, 
+to debugging and serving. ML algorithms or pipelines are specified in a high-level language 
+with R-like syntax or related Python and Java APIs (with many builtin primitives), and the 
+system automatically generates hybrid runtime plans of local, in-memory operations and distributed
+operations on Apache Spark. Additional backends exist for GPUs and federated learning. 
 
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