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Session Description
The integration of AI in the enterprise sector has proven to be a game-changer, elevating operational efficiencies, enhancing customer interactions, and driving unprecedented services and product innovation across industries. However, as enterprises are continuously advancing AI in business, the challenge of implementing and scaling these solutions sustainably and ethically becomes increasingly critical.
Join us at the Enterprise AI Summit, where we convene industry leaders, CIOs, Chief Data Officers, AI pioneers, and business strategists from across the globe to dissect the impact of AI in the enterprise world. This session will provide a deep dive into successful case studies, address the challenges associated with AI adoption in the business landscape, and cover the essential infrastructures required for successful AI implementation. Furthermore, we will also discover how the use of AI has the potential to revive telco revenue streams, helping them find their seat within the value chain.
Agenda
10:15-11:30 am - The Next Boom: Scaling Up Generative AI in Verticals
In the last 18 months, we’ve witnessed the successful experimentation and implementation of Gen AI and LLM in different industries. These Gen AI technologies are designed to address non-industrial or topic-specific interactions. With the market for Gen AI solutions maturing, and vertical solutions for specific industry needs being developed, CIOs face the tough task of selecting the most suitable vendor and solution.
Join the session as we delve into the world of generative AI and explore its practical applications in various industries. We will discuss the business, operational, and industrial challenges that will need Gen AI and LLM’s application. We will also explore the implementation of SMLs with products and services tailored to address specific industries or tasks.
Julian Williams, Industry Lead, Retail & Telecommunications, Anthropic
Caroline Chan, VP, Network Business Incubator Division, Intel Corporation
Sandeep Sasikumar, Head of Analytics & AI, Global Business Center, Nokia Cloud & Network Services
Mary Clark, President & COO, Numeracle
Juho Sarvikas, President, North America, Qualcomm
Anshul Bhatt, Chief Product Officer, Rakuten Symphony
Piers Sanders, Chief Product Officer, Sand Technologies
Pranay Bajpai, AVP, Software Development, Verizon
12:00-12:45 pm - Enterprises Reinvention and Growth with New Ideas
As enterprises worldwide redirect their technology budget towards harnessing the capabilities of Gen AI, the landscape of IT operation and management is undergoing a seismic shift. Join the session as we explore how Gen AI can transform from a mere experiment into a powerful business engine. We will discover how Gen AI is not only streamlining and automating traditional process optimization, IT services, or decision-making but also creating a surge in demand for a myriad of innovative new services, and how the key players reimagine their business, recharge their offerings, and capitalize on the emerging market trends.
Nabil Bukhari, Chief Product & Technology Officer, EVP, GM Subscription Business, Extreme Networks
Jani McConnel, VP, Growth & Operation, IV.ai
James Kaplan, CEO & Co-Founder, Meetkai
Abhishek Sandhir, Managing Director, Telecommunications, Sand Technologies
Eugina Jordan, CMO, TIP
2:00-3:00 pm - What Are the Key Components to Build Your AI Stack?
In the rapidly evolving AI landscape, the foundation of its success and scale is intricately tied to the strength of the underlying infrastructure. Is 5G truly sufficient for the demands of large-scale AI applications, or do we need to look towards the horizon of 6G for AI to realize the scalability? As a bloodline of AI, what data infrastructure and management are needed to drive AI innovation across various industries? What needs to be prioritized in an AI security framework and protecting data and models from cyber threats? And what is the current status and potential of cloud-based AI infrastructure and cloud computing in the AI domain?
Julien Simon, Chief Evangelist, arcee.ai
Bryan Saftler, Director, Product Marketing, Databricks
Jonathan Fischer, VP, Global OEM & Embedded Sales, Ericsson
Yuriy Yuzifovich, CTO, AI, GlobalLogic
Lilac Ilan, Global Head BD Telco, AI Powered Operation, Nvidia
Dr. Vinesh Sukumar, Senior Director of Product Management , Qualcomm Technologies, Inc.
Bob Sacuans, VP, Telecom Industry, Uipath
3:30-4:30 pm - Ethics and Governance Navigation in Enterprise AI
As AI applications and models increasingly cast their influence over industries like healthcare, finance, education and beyond, the need for AI to embrace and reflect ethical principles and effective governance is vital.
Join us as we delve into the complexities of AI ethics, decode the challenges that need to be considered when building new AI applications, and examine the roles played by government, multi-stakeholder groups, and academics in establishing the ethical and governance framework that underpins future evolutions. We will also look into the AI regulations and explore essential strategies for developing robust AI governance programs that ensure ethical use, regulatory compliance, and sustainable growth.
Jeanine Vos, Head of SDG Accelerator, GSMA
Katy Milner, Partner, Hogan Lovells
Stephen Rose, GM, Global Industries, IBM
Jani McConnel, VP, Growth & Operation, IV.ai
Kat Scott, Partner, Wiley Rein LLP
As the world demands more connectivity and capacity, network operators have an opportunity to evolve and build networks more intelligently and profitably. Sand Technologies' AI and data-driven solutions are used by telecom leaders to optimize their operations, inform their buildout strategies and maximize their ROI from network investments.