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- Users Reject Wait Times In Favor Of Chatbots
Users Reject Wait Times In Favor Of Chatbots
PLUS: A research paper introduces a Harris Hawks Optimization model for electric vehicle coordination.
Good morning. Today is Monday, November 27th and we're covering the viability of fractional AI leadership for startups and how financial services are strategizing value generation from AI while overcoming hurdles. New to The Intelligence Age? Sign up here.
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News & Insights
Startups Should Consider Hiring Fractional AI Officers
The AI talent conundrum is stark. A staggering 2,000% increase in job postings demanding generative AI skills underscores an urgent need for expertise. At the crux, Dylan Fox asserts, "Companies that do not integrate AI...will struggle to remain competitive." While large corporations appoint CAIOs to spearhead AI initiatives, smaller entities face a dilemma: the necessity for AI integration without the means for full-time leadership.
Enter the fractional AI officer. This role offers a unique advantage. Generative AI's nascent stage means exposure to a variety of applications across organizations enriches a fractional officer's expertise. Breadth of experience is the trump card. Indeed, "Having a fractional AI officer is superior to hiring full-time in one crucial respect." techcrunch
Why does this matter?
As generative AI continues to evolve, could the fractional model extend beyond leadership, fostering a new paradigm where cross-pollination of AI expertise becomes a normative practice for technologists and developers alike? This could spawn an era of collaborative innovation unprecedented in the tech world.
Finding Value In Generative AI For Financial Services
Generative AI is reshaping financial services, with McKinsey estimating a potential annual value addition of up to $4.4 trillion globally. In banking, full implementation could mean an extra $340 billion yearly**.** ChatGPT's explosive growth to 100 million users in a mere two months underscores the technology's deep resonance and staying power.
Corporate embrace is cautious but intentional, focusing on automating the mundane to unlock human potential for higher-value tasks. But, the path is strewn with legacy systems and the scarcity of niche AI talent—obstacles that, while daunting, are diminishing over time. The real challenge? Developing bespoke models that can navigate complex financial analyses without stumbling over bias or regulatory tripwires. technologyreview
Why does this matter?
As financial giants navigate these hurdles, could the democratization of AI tools empower smaller firms to leapfrog their way to innovation, thereby leveling the playing field in the industry?
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Supplement Your Customer Service With A Chatbot
In the bustle of the holiday season, AI chatbots serve as the modern-day elves for businesses, handling the surge of customer inquiries with a mix of efficiency and warmth. Research is clear: a staggering 95% of consumers would rather interact with a chatbot than wait on hold for over 15 minutes. Yet, adoption lags, with only 39% having engaged with chatbots during their holiday shopping. This gap represents not just a challenge, but a crucial opportunity for brands to scale up their digital strategy.
Imagine a customer service without the dread of long hold times. With AI, a simple prompt from a voice AI concierge can redirect customers to instant messaging services, where AI-powered summaries and suggestions await the human agent. This approach not only elevates customer satisfaction but transforms service efficiency. fastcompany
Around The World
Innovative AI Assistant Aims to Equip Individuals and Communities with Tailored Strategies for Adapting to and Mitigating the Impacts of Climate Change.
Google Meet Enhances User Experience with New Gesture Recognition Capabilities for Streamlined Virtual Interactions.
Lucid Launches Comprehensive Visual Collaboration Suite Designed to Enhance Teamwork and Productivity for Professionals
Electric Vehicles Coordination For Grid Balancing Using Multi-Objective Harris Hawks Optimization
Cristina Bianca Pop et al.
∑ Summary: The paper presents a model using Harris Hawks Optimization to coordinate EV charging and discharging for grid stability and energy balance, considering user preferences and location.
!? Practical implications: The research could indirectly promote the development of smart city infrastructure by incentivizing the integration of EV fleet coordination systems with urban planning, leading to more efficient energy use and potentially reducing the need for additional power generation facilities.
Written by Isaac R. Ward, Casey Clifton, and Alex Brogan.
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