Artificial intelligence (AI) is delivering new insights − previously hidden in vast pools of data − to add intelligence to many products and services that ultimately transform the way organizations and machines interact. AI can improve productivity of internal applications, increase revenue, reduce costs, and improve products and services with added functionality or communication modes. With such a wide-ranging application, enterprises also are struggling to understand what this means to them, how to go about identifying the key areas of benefits and modus operandi of going about it technically and culturally. One key to success lies in deciding what problems to solve and identifying a narrowly defined problem that is widely acknowledged within the organization as a pain point. The project should be practical, with adequate funding and access to data. From here on identifying the right tools, talent and methodology can set you on the right path. Also, Data analytics initiatives usually lead to significant changes in the organization’s procedures and culture. Acknowledging and accommodating for this early is imperative. All this, though, does not have to be overwhelming and daunting for the execution leader. This can be broken down into simple to steps to approach, assess, align and achieve.
We will discuss what is AI and how it has evolved, Types of AI and Current trend of Use Cases for AI. Additionally, we will discuss how to identify use cases for your enterprise, guidelines for implementing it and adopting it.
About the Instructor:
Sai is a proven Solution Engineering and Customer Success executive who has turned ideas into impactful products multiple times over his career of about 25 years, alternating between large enterprises and start up ventures. His domain expertise spans the Networking, Retail, Telco Services and BFSI verticals. He brings a diverse set of strengths and empowers eclectic teams to execute with a singular focus. At Cisco, Sai proudly leads highly talented engineers who are building platforms that are enabling a paradigm shift in the world of Enterprise Networking.
Sai came to Cisco with Cisco's acquisition of Saggezza's Advanced Analytics BU. At Saggezza he headed up Client Solutions and Engineering Delivery. Prior to that, he was at Fiserv, owning Customer Success for their Payment and Wealth Aggregation products. Before Fiserv, he held senior product and program management roles at Broadridge Financial and Fidelity. He has a Masters Degree in Science and a Bachelors in Engineering from BITS, Pilani. He conducted Advanced Research in Simulation Engineering at Texas Tech University and Health Sciences Center.
Meeting Leader: Kuntal Thakore, PMP, CSM
PMI Silicon Valley Members: $5.00
Students & Veterans: Free (Please contact Meeting Leader for the discount code)
This event is a professional society meeting, held for the benefit of its members. The Plan Ahead registration fee paid is based on the registrant's ability to commit to attendance, ahead of time. The Plan Ahead registration fee will not be refunded for any reason, other than event cancellation, after normal business hours (5:00 PM, Pacific) on the registration deadline day. The PMI - Silicon Valley Chapter reserves the right to make last-minute changes to program content and speakers, as circumstances dictate.
|Event End Date||12-08-2021|
|Registration Start Date||10-08-2021|
|Cut off date||12-07-2021|