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     new b44a1bc  README improvements
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commit b44a1bc6c32dd3f9ec7622569a648462aa75763c
Author: Suresh Marru <sma...@apache.org>
AuthorDate: Mon Jan 30 17:27:41 2023 -0500

    README improvements
---
 README.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index 52b3bb2..ee2ab52 100755
--- a/README.md
+++ b/README.md
@@ -22,12 +22,12 @@ under the License.
 
 # Airavata Managed File Transfers (MFT)
 
-Airavata MFT is a high-performance, multi-protocol data transfer engine 
developed for orchestrating data movement and operations across most of the 
cloud and legacy storage endpoints. Through Airavata MFT, our vision is to 
provide simple but highly performing tools for users to access any cloud or 
on-premise storage endpoint just as they access local files in their 
workstations. 
+Apache Airavata MFT is a high-performance, multi-protocol data transfer engine 
to orchestrate data movement and operations across most cloud and legacy 
storage endpoints. Airavata MFT provides simple but highly-performing tools to 
access most cloud and on-premise storages as seamlessly as they access local 
files in their workstations. 
 
-Airavata MFT abstracts out the complexity of each storage type and provides a 
unified and simple interface for users to access and move data across any 
endpoint seamlessly. To gain the maximum throughput between storage endpoints, 
Airavata MFT utilizes Agents installed between the optimum network path with 
additional multi-channel, parallel data paths to further optimize the transfer 
performance. In addition to that, MFT can utilize parallel Agents to transfer 
data between endpoints to g [...]
+Airavata MFT abstracts out the complexity of each storage type and provides a 
unified and simple interface for users to access and move data across any 
endpoint seamlessly. Airavata MFT bundles easily deployable agents which auto 
determine optimum network path with additional multi-channel, parallel data 
paths to optimize the transfer performance to gain the maximum throughput 
between storage endpoints. MFT utilizes parallel Agents to transfer data 
between endpoints to gain the advantage [...]
 
 # Try Airavata MFT
-You need to have Java 11+ and python3.10+ installed to install Airavata MFT in 
your environment. We currently only support Linux and MacOS operating systems 
and plan to support Windows in future. 
+MFT requires Java 11+ and python3.10+  to install Airavata MFT in your 
environment. MFT currently supports Linux and MacOS operating systems. 
Contributions to support Windows are welcome!!. 
 
 ### Download and Install
 

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