Check out some of the companies that will be there below!
As AI evolves to become a universally applicable, accessible, and general-purpose technology, companies can implement it to reshape their business processes and internal operations. AI implementations have opened new possibilities in the areas of production planning and control, autonomous operations, internal communications, and generating new content. This program will focus on how you can capture the opportunities AI brings to optimize operational decisions and business outcomes.
This conference is for senior leaders who oversee business and technology operations and include:
This event you will allow you to:
Opening Remarks: Blade Kotelly, Senior Lecturer, Design-Thinking, Innovation and Leadership, MIT School Of Engineering; President, Blade Kotelly Inc.
Session 1: AI to Improve Operational Efficiency
Moderator: Sunil Kulkarni, Global Business Services Operations, Growth and Strategy, KPMG
As a business and technology leader, you are tasked with delivering solutions that increase productivity, profitability, and customer satisfaction. The first step involves evaluating existing business processes and how teams interact with them. Companies are increasingly turning to AI solutions to automate these processes to improve productivity, but the challenge lies in making sure their AI strategy ties out to their most strategic business operations.
During this session, panelists will share examples of how they align their most critical business goals with their AI strategy. Using such examples as internal task automation, streamlining customer onboarding, and automating production cycles – they will discuss how AI and Machine Learning can be successfully applied to many large-scale business processes.
You will learn:
Session 2: AI to Augment Our Work
Moderator: Mary Slater, COO, Shell TechWorks
The name of the game for any company is to achieve a level of productivity that results in positive business outcomes. As information and technology evolves, employees need to learn and adapt accordingly. AI is quickly becoming an avenue to automate and offload daily tasks and operations to make this possible. As remote work, dispersed teams, and online training continue to mature across industries, AI stands poised to significantly change the way employees learn, communicate, and perform their work.
During this session, panelists will share how they are using AI to augment employee daily workflows and communications. They will discuss how they determine the types of interactions that are appropriate for AI and how employees are trained on its usage.
You will hear:
Session 3: Responsible AI and Setting Policy
Moderator: Chris Hart, Partner Co-Chair, Privacy & Data Security Practice, Foley Hoag
As organizations adopt and scale AI for operational efficiency, they need to ensure accurate, unbiased, and secure outcomes. Establishing a Responsible AI policy is essential for organizations to attain governance and transparency. Some of the roadblocks to achieving this policy stems from gaps in cross-functional communication and collaboration – both of which are critical in making Responsible AI a reality.
During this session, panelists will share their approach to Responsible AI and how they are working through organizational and technical challenges they may encounter along the way. They will share recommendations on how to ensure that policy leaders integrate high-level principles with AI engineering and its usage.
You will hear recommendations on:
Closing Remarks: Cansu Canca, Ph.D, Director of Responsible AI Practice at Institute for Experiential AI, Northeastern University and Founder+Director of AI Ethics Lab
The event will be followed by networking, tours, and lunch to go.
– Refunds are only available up until 7 days before the event.
– Unsure if you are a Mass Tech Leadership Council member? Check the directory
– Global or Premier membership level, please reach out to email@example.com for your special code.