The Digital Enterprise Technologies (TAC)

Current Chair: Liang Xi Downey


The Digital Enterprise  Technologies Technical Activity Committee focuses on the emerging trends of Cognitive system, enabled by the Artificial Intelligence; Machine Learning and Big Data.  Digitization is not a new trend, but the coming of Internet of Things (IOT) is connecting communities, cities, governments, businesses, manufactures and researchers in new ways that could not be imagined before.  IOT and computer math modeling are able to represent physical objects, whether they are things in motion (traveling vehicles, moving robots) or things in process (steams, rising temperature), in virtual cyber-systems, allowing people and their physical objects to interact in a much more timely and intimate ways.  Sensors are used to collect data from physical objects in real-time; Big Data and Cloud platforms allow the massive amount of data to be stored and sorted. Advanced machine learning and analytics make it possible for history to manifest itself, current operations to be known and future to be planned and predicted. The outcomes of this trend are higher efficiency, optimized processes, better decision making, lowered resource waste and reduced environmental damage.  Manufacturers of engineered goods and services will need to redefine their business models to lead, compete and win their customers in this new cognitive era.  Customer focus will be the new norm, regardless if they are internal or external customers. Engineering managers must adopt and quickly transition themselves as new leaders with the renewed focus on customers.  This TAC will engage current managers, aspiring up starters and motivated individuals to understand the new trend in IOT, Big Data and Cognitive Computing, so to better prepare themselves to lead in the future.  The traditional IT and e-Business are based on structured programming and deterministic; tomorrow’s digital IT system will be open, probabilistic and cognitive.

The Digital Enterprise TAC will also discuss and understand the potential threats of artificial intelligence and machine learning to humanity and society, provide guidance to technology companies and policy makers on corrective actions.

Join this Technical Activity Committee if you wish to engage and contribute to TEMS along this line of interest.  We will be looking for interesting discussion, networking, conference engagement, publications and other activities; with a focus on results.   More information on TACs in general can be found on the overview and details of the TACs web pages.

To join contact me at to participate in this activity

IEEE TEMS Resource Center



Call for Papers

Call for Papers

Follow us on Twitter

Call for Papers