Title: Bank Risk Management

Abstract:

Scandal to corporate crises When business operation is running, any kind mistake misunderstand or crime have possibility. Fieger out these things require hard administration. But these administrations usually make employee’s motivation down also reduce productivity. So reasonable education from senior to non-title save rick crises happen but it‘s not make zero. The knowledge of employees has limit also not everyone happy to work. Miss leadership make unhealthy or frustrated employees. When they make something happen, these are unexpectable happening. Anytime it is required internal and external communication. Internal communication owner should be HR or assign outside which has right skill and knowledge. Extern field is mostly PR agency coverage significant point is that PR agency has capability of crises control or not. Crises control effective PR agency are limited. Internal owner used to be PR manager/director. Solve crises reason and same timing start conversation with PR agency. Title in company is important. Minimize related people just for crises control operation necessary people. Sometimes faces legal protocol. Of course this is the issue of legal Athlone every PR activity has done with their approval. Keep and protect Brand is top priory. Legal sense commonsense and tools knowledge plus experience all of them are necessary

Biography:

1982 Graduate WASEDA University Boucher of law. Enter Marui retail chain as lady’s fashion merchant planner. Move to Parco hotel division, business planning section. GAGA Communications in charge of Beijing subsidiary operation, Intersolv marketing head of Japan. Exodus communications Director professional service logica  marketing manager

Title: Covid 19 Pandemic Enterpreneurs

Title: Business Continuity Management

Abstract:

Even the most aggressive environment protectionist would not have dreamt about a sky dedicated to exclusively the birds and sea to the fish while all the planes are parked into the hangers and ships are stuck at the dock. Economists are yet to conclude unanimously the opportunity costs of the Pandemic and how to deal in future if similar incidence occur. Medical Field is working hard to make hope more realistic yet remain non-committal when the world would be free or get complete immunity. Governments have put masks on the faces and policies, imaginary Political borders are getting blurred. Never in the past “Robust Enterprise Risk Management” was so profoundly needed than now. Passion needs to be blended with Prudence and Dreams need to be dealt with diligence. The article aims to provide at least 6 most important factors to keep in mind while exercising Enterprise Risk Management.

Biography:

Preetam has completed his MBA and further Studied Pharmacoeconomics from ISPOR U.S.A and Business Analytics, Economics and Finance from Harvard Business School.  Preetam has been Speaking at various International forums like CPHI, KPMG in topics related to Sales Force Effectiveness, Go to Market Strategies, Key Considerations related to Deal and Mergers

Title: Enterprise Risk Management

Abstract:

Autonomous Vehicle is a technological revolution in the transportation industry and is one among the most anticipated trends of near future. It uses a combination of cameras and sensors like lidar and radar for understanding the scene around it and thereby taking the necessary actions accordingly.   This work focuses on  segmenting the scene i.e. separation of whole image into individual segments, detecting objects of interest from the road using the 2D view of the road, which is obtained from cameras installed in the vehicle.  The objects of interest include traffic signals, traffic signs, road lanes, pedestrian, road markings, vehicles in blindspot area etc. The work also focuses on the headpose detection of the driver to identify whether he is performing mirror and shoulder checks properly. This can be viewed as a driver monitoring application also.

The work uses a Deep Learning based approach to identify the objects and the precise location of the objects in the scene. Knowing the location helps the vehicle to take necessary action or provide indications to the driver. Deep Learning algorithms uses different frameworks like Convolutional Neural Network(CNN), Recurrent Neural Network(RNN) etc for processing massive amounts of data to create application specific models which can be used for inferencing. This work has a variety of applications in driver monitoring, automated driving test etc.

Biography:

Athira M is a lead Data Scientist at Dubai Technologies, who is passionate about the transformation of traditional traffic monitoring systems, to a next pace using Artificial Intelligence, deep learning, machine learning, natural language processing and computer vision technologies. She has completed M.Tech in Computation Linguistics from University of Calicut and has 5+ years of experience as Data Scientist. She is an active member of WomenTech Network and was nominated for AI Inclusion award by the network. She is often invited to speak at conferences and recently she has spoken at GEC, Palakkad and MBZ University for Artificial Intelligence, Abu Dhabi.

Title: Leveraging Data & Analytics for Artificial Intelligence in ERM