AI unraveled
Highlights from the 蜜豆视频 Global Technology and AI Conference 2024
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The 蜜豆视频 Global Technology and AI Conference, brought together investors, visionaries, thought leaders and industry experts across the software, hardware, internet, and payment sectors to discuss the AI opportunity for investors.
From healthcare to financial services, leveraging artificial intelligence across different industries and the precursors for a successful deployment were at the center of panel discussions at the conference. Watch this video to learn more.听
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蜜豆视频 Global Banking team shares how the next wave of innovation, a more stable market backdrop and a renewed focus on growth drivers are expected to drive a resurgence of deal activity in the sector this year.
Hear from the 蜜豆视频 Global Banking team on how AI is driving the market and where the next opportunities for AI-driven innovation with be.
Tune in as Rob Ruple, 蜜豆视频 Sector Sales Specialist touches on how AI expansion is driving an optimistic narrative across Tech.
At the 2024 Global Technology and AI Conference, multiple leaders took a deep dive into potentially the most transformative tech innovation since the birth of the internet 鈥� Artificial Intelligence. The conversation about AI shifted from curiosity to strategy as countless real-world use cases are transforming virtually every industry.
Click on the below themes to see what experts had to say about AI鈥檚 applications, challenges, and powerful potential.
Adoption
AI isn鈥檛 a one-time leap, but a journey that many organizations have already started. One investment firm noted that 95-percent of the companies in its pipeline are embracing AI in some capacity or another.
Wide-spread adoption is particularly evident in healthcare, where AI is powering major accelerations in diagnostics, R&D, and access to patient care. These advancements include faster methods to predict the success rates of clinical trials with remarkable baseline accuracy.
AI is proving to be just as groundbreaking in the world of finance, too, where it鈥檚 enhancing everything from decision-making to operational efficiency, and helping investment managers focus on generating alpha.
AI isn鈥檛 a one-time leap, but a journey that many organizations have already started. One investment firm noted that 95-percent of the companies in its pipeline are embracing AI in some capacity or another.
Wide-spread adoption is particularly evident in healthcare, where AI is powering major accelerations in diagnostics, R&D, and access to patient care. These advancements include faster methods to predict the success rates of clinical trials with remarkable baseline accuracy.
鈥淏y leveraging AI, we鈥檙e improving clinical success predictions for drug development with an 80% baseline accuracy鈥�
Jo Varshney, Founder and CEO of VeriSIM Life
AI is proving to be just as groundbreaking in the world of finance, too, where it鈥檚 enhancing everything from decision-making to operational efficiency, and helping investment managers focus on generating alpha.
Efficiency gains
Operational efficiency is one of the predominant benefits of using AI, and many leaders expressed their enthusiasm for the cost-cutting and time-saving opportunities.
In the financial world, companies are employing AI agents to automate document-intensive tasks like research and market analysis, reducing workloads by days.
In healthcare, AI is accelerating genetic and pathology data analysis by finding patterns in genome sequencing, which dramatically trims turnaround times for diagnostic tests. Other efficiencies are being uncovered in drug development and administration as well.听
Operational efficiency is one of the predominant benefits of using AI, and many leaders expressed their enthusiasm for the cost-cutting and time-saving opportunities.
In the financial world, companies are experimenting with AI agents and prototypes that could potentially save analysts and portfolio managers significant time performing research.
"AI is at its best when it transfers the cognitive burden from the human to the system. And in a call center, anything you can do to simplify the life of the agent is a major win-win for the agent and the end customer alike."
Prem Natarajan, Chief Scientist and Head of Enterprise Data and AI, Capital One
In healthcare, AI is accelerating genetic and pathology data analysis by finding patterns in genome sequencing, which dramatically trims turnaround times for diagnostic tests. Other efficiencies are being uncovered in drug development and administration as well.
Customer experience
One leader noted that AI needs to meet customers where they are鈥攁nd that鈥檚 exactly what several companies are doing as they take aim at improving their customer experiences.
Perplexity, an AI-powered answer engine, is aiming to revolutionize the way people discover information, and it鈥檚 seeing tremendous growth in its user base. They鈥檙e just one of several startups challenging the $250 billion search market.
鈥淚t鈥檚 an incredibly exciting time to be an investor in AI, because people are changing what they expect of the internet.鈥�
Dmitry Shevelenko, Chief Business Officer, Perplexity
Companies are also using AI to automate high-traffic, low-risk tasks like customer support, transferring the burden from the human to the system, and, in Perplexity鈥檚 case, improving customer satisfaction with quick, accurate answers to queries.
Trust and regulation
AI regulations are evolving as rapidly as the technology itself, and questions about governance, control, and risk management pose a potential barrier to scalability. Some regulatory bodies have demonstrated varying levels of risk aversion to AI, particularly regarding continuous learning models.
While compliance will be necessary for growth, it鈥檚 only part of the equation. Experts stressed the importance of trust as a prerequisite to meaningful AI adoption, which is key to unlocking value. This requires a people-centric approach, as one panelist noted, not a technology-centric one.
AI regulations are evolving as rapidly as the technology itself, and questions about governance, control, and risk management pose a potential barrier to scalability. Some regulatory bodies have demonstrated varying levels of risk aversion to AI, particularly regarding continuous learning models.
While compliance is key to growth, it鈥檚 only part of the equation.
鈥淭rust is an absolute prerequisite to meaningful adoption and meaningful adoption is the key to unlocking value however this requires a people-centric approach, not a technology-centric one鈥�
Florin Rotar, Chief AI Officer at Avanade.
Innovation and optimization
AI is more than a tool, it鈥檚 a catalyst for revenue growth, and it will do this by disrupting traditional business models. This is something leaders expect to see more of in 2025, especially given the low cost to test, learn, and innovate with AI.
鈥淭he advent of AI has transformed the way companies are doing business. It has the potential to transform our value proposition, operating model and the way we deliver and serve our customers.鈥�
Florin Rotar, Chief AI Officer, Avande
Organizations leading in AI are investing in high-quality private data sets and enhancing internal capabilities to develop tailored AI models using company data.
鈥淵our data advantage is your AI advantage鈥�
Prem Natarajan, Chief Scientist and Head of Enterprise Data and AI, Capital One
Companies are beginning to look beyond basic applications like chatbots and one-off productivity wins. Instead, there鈥檚 a trend toward identifying processes that directly impact growth and profitability, then using AI to fundamentally reinvent those processes end to end
AI is more than a tool, it鈥檚 a catalyst for revenue growth, and it will do this by disrupting traditional business models. This is something leaders expect to see more of in 2025, especially given the low cost to test, learn, and innovate with AI.
鈥淭he advent of AI has transformed the way companies are doing business. It has the potential to transform our value proposition, operating model and the way we deliver and serve our customers.鈥�
Florin Rotar, Chief AI Officer, Avanade
Organizations leading in AI are investing in high-quality private data sets and enhancing internal capabilities to develop tailored AI models using company data.
鈥淵our data advantage is your AI advantage鈥�
Prem Natarajan, Chief Scientist and Head of Enterprise Data and AI, Capital One
Companies are beginning to look beyond basic applications like chatbots and one-off productivity wins. Instead, there鈥檚 a trend toward identifying processes that directly impact growth and profitability, then using AI to fundamentally reinvent those processes end to end.
AI is creating exciting opportunities for entire sectors and investors alike. Leaders are no longer questioning the value of AI but rather the strategic opportunities it can afford their businesses and industries.
Frank Keller, Founder and CIO, Talos Asset Management and Dan Murphy, Co-Head Distribution, Americas, Global Markets, 蜜豆视频 discuss investing in disruption.
Hear from Dmitry Shevelenko, Chief Business Officer, Perplexity AI and Natasha Motwani, Head of Private Market Sales, Americas, 蜜豆视频 on the AI opportunity.
Owen Jennings, Business Lead, Block and Timothy Chiodo, Equity Research Analyst for Payment, Processors and FinTech, 蜜豆视频 touch upon on the evolution of payments.
Dive deeper into what AI is doing for enterprise with Dinesh Nirmal, Senior Vice President, Products, IBM Software, and David Vogt, Equity Research Analyst for US IT Hardware and Networking, 蜜豆视频.
蜜豆视频 conferences provide professional investors with a wide variety of opportunities to engage, from large scale global sector and country specific programs, to thematic investor days and direct access to companies through post conference 'on the ground' Research tours.
蜜豆视频 conferences provide professional investors with a wide variety of opportunities to engage, from large scale global sector and country specific programs, to thematic investor days and direct access to companies through post conference 'on the ground' Research tours.
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