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CIO Applications Weekly Brief

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Editor's Pick (1 - 4 of 8)
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Robotic Refactoring the Workplace

Robotic Refactoring the Workplace
Philip D. Heermann, Senior Manager, Sandia National Laboratories

Focus: Three Keys to Effectively Handling Technological Advancements

Focus: Three Keys to Effectively Handling Technological Advancements
Norbert Monfort, Vice President, IT Transformation and Innovation, Assurant Global Technology

"AI -The Future of Automotive Industry"
Nitin Sethi, Global IT Director - Business Transformation & Engagement, Visteon Corporation

WiFi Networks: Shifting from Providing a Service to Improving the Student Experience

WiFi Networks: Shifting from Providing a Service to Improving the...
Daniel J. Strojny, Interim Associate Director of Network and IT Operations, University of St. Thomas

Breaking the Stereotypes in the Development of AI

Breaking the Stereotypes in the Development of AI
Yves Jacquier, Executive Director, Production Studio Services, Ubisoft

Operationalize Machine Learning

Operationalize Machine Learning
Zongjie Diao, Director of Product Strategy and Management, Data Center Compute Group, CISCO

Where is AI Already Having an Impact on Business?

Where is AI Already Having an Impact on Business?
David Wirt, VP, ASEAN & Greater China, Pure Storage

Artificial Intelligence in the Biopharma and Healthcare Sector

Artificial Intelligence in the Biopharma and Healthcare Sector
Ronald Dorenbos, Associate Director Materials & Innovation, Takeda

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AI can Help you Manage your Time Better

By CIO Applications| Friday, July 26, 2019
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Artificial Intelligence With its ability to leverage data and self-learning capabilities, artificial intelligence has the potential to assist businesses in time management and in handling the workforce.

FREMONT, CA: With emerging technologies and trends, companies are forced to analyze their existing legacy systems and reinvent many of their processes according to the market or business requirements. The firms often end up realizing that they require disruptive fixes in their current systems to accommodate digitalization and modernization. Businesses are also realizing the value of recording and managing time to deal with the modern workforce. The best time management system assimilates maximum data while taking the least inputs from employees and supervisors. Artificial intelligence (AI), with its ability to leverage data and self-learning capabilities, has a potential in this sector too. It can also be applied for heavy lifting in the process of collecting time-related data while adding context and connecting it to metric, resulting in an efficient and streamlined system altogether.

New Tools for the Purpose

Automated data harvesting and seamless integration are feasible with the help of advanced intelligent technologies. Capturing mobile and non-intrusive data minimizes the requirement for manual time inputs from employees while automatically updating the centralized database. Advancements like facial recognition mean that the employees can directly walk up to their time clock and login process is accomplished without any manual interference. The systems can further be updated so that the employees can strike up a conversation with a chatbot about their login time and accurate data collection.

Intelligent Workflows

Apart from assisting with administrative functionalities, automated systems can simplify business processes by confirming real-time data with built-in exceptions that allows visibility to the supervisors, when and where it is required. Companies can also streamline areas such as payrolls or compliance and approvals while increasing collaboration and offsetting errors significantly.

Current Management

As companies have access to massive data sets, businesses are empowered to make critical decisions without wasting much time. Advanced alerts and notifications enable the managers and supervisors to make proactive decisions with accurate management of data. Up-to-the-minute information over various aspects such as compliance, hours worked, exceptions, and resource availability, the probability of errors and wasted time are eliminated.

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