AI Growth Challenges in Tech, Healthcare, and Government: Insights on Integration and Future Trends

[00:00:02] It's Friday, October 11th, 2024, and I'm Dave Sobel. Three things to know today. Slow AI growth in smartphones, healthcare, and jobs, bridging the gap between promise and practicality.

[00:00:13] AI expands across sectors. Zoom and ServiceNow integrate generative AI while public sector embraces some AI solutions.

[00:00:21] And Microsoft's leadership and enterprise struggles highlight the gaps in market booms for IT providers. This is the Business of Tech.

[00:00:31] Jeffries analysts predict that real AI smartphones are still two to three years away, citing the iPhone 16's lack of new features and limited AI capabilities.

[00:00:41] Following the downgrade of Apple's stock rating from buy to hold, the stock fell 2.3%.

[00:00:46] While some analysts remain optimistic about the long-term potential of AI in iPhones, they forecast minimal growth for the iPhone 16 compared to its predecessor.

[00:00:56] Despite the current limitations, there's an anticipation for future AI capabilities with estimates of 490 million AI-capable iPhones by 2026.

[00:01:07] CISA's Chief AI Officer, Lisa Einstein, emphasizes the necessity of human involvement in AI applications for cybersecurity, advocating for strong human processes alongside AI tools.

[00:01:21] She warns against over-reliance on AI, highlighting that human oversight remains critical due to historical software security issues.

[00:01:30] MIT professor Darren Acemulu warns that only 5% of jobs will be replaced or significantly supplemented by AI in the next decade, suggesting that the anticipated economic revolution may not materialize.

[00:01:44] He highlights concerns over the potential waste of investments in AI and the risk of a tech stock crash due to inflated expectations.

[00:01:54] And over in medical economics, there's an article on AI too, but the data I want to relay is this list.

[00:02:01] 41% of healthcare providers spend over 4 hours daily on administrative tasks.

[00:02:06] 68% of respondents struggle with fax volume and complexity in managing patient data.

[00:02:13] 85% of providers value interoperability for better decision-making at the point of care.

[00:02:19] And 64% of providers experience more than 10 no-shows weekly, impacting care delivery and revenue.

[00:02:26] Why do we care?

[00:02:28] While AI continues to make inroads in both public and private sectors, there's a significant gap between its promise and its practical application.

[00:02:34] For IT service providers, the opportunities lie in helping clients navigate the transition period.

[00:02:41] Whether it's customizing AI for specific business needs, ensuring smooth integrations with legacy systems, or managing the cultural shifts required for successful adoption.

[00:02:51] The transition will be significantly longer than you might think.

[00:02:55] It starts with data management.

[00:02:58] I'm excited for you to hear my interview this weekend on data management.

[00:03:01] Note the reliance on fax machines and medicine.

[00:03:05] Fax machines.

[00:03:07] That's why I say it'll take a while.

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[00:03:56] Zoom's latest feature update, AI Companion 2.0, enhances its platform by integrating AI to assist users in Zoom Workplace.

[00:04:05] This assistant can remember past conversations, summarize documents, and generate content drafts while working with external applications.

[00:04:12] Although it will be free for Zoom Workplace subscribers next month, it won't be universally accessible.

[00:04:20] Additionally, Zoom AI Studio allows customization of the AI Companion for specific company needs.

[00:04:27] The update also includes industry specific features for sectors like healthcare and education, focusing on improving collaboration for remote and hybrid teams.

[00:04:36] ServiceNow and Zoom have announced an integration of their generative AI technologies to enhance meeting productivity by automating workflows based on discussions during Zoom meetings.

[00:04:45] The collaboration aims to streamline actions within the ServiceNow platform, making it easier for businesses to leverage generative AI capabilities.

[00:04:53] The integration will be straightforward, focused on governance and permissions to ensure oversight.

[00:04:58] Zoom's AI Companion will enhance this experience by providing a system of action, allowing users to orchestrate workflows seamlessly.

[00:05:06] The integration is expected to be available in early 2025.

[00:05:10] This story is local to me, and I thought it very insightful.

[00:05:14] Fairfax County, Virginia, plans to implement an AI system to manage non-emergency 911 calls, aiming to reduce wait times and improve efficiency.

[00:05:23] The AI will handle various non-emergency inquiries, provide immediate translation for non-English speakers, and route calls to appropriate agencies when necessary.

[00:05:33] This shift comes as non-emergency calls have surpassed emergency calls, highlighting the need for a sustainable approach to call management.

[00:05:41] The system is expected to alleviate the mental strain on call takers and enhance response during emergencies.

[00:05:48] Government agencies are lagging in generative AI adoption, despite 60% believing it will drive innovation.

[00:05:54] A survey conducted by SAS shows 84% plan to invest in generative AI next fiscal year, with 91% already allocating budget for it.

[00:06:04] Concerns include cultural resistance and compatibility with legacy systems.

[00:06:08] Only 52% have policies for generative AI use, and awareness among employees is low at 35%.

[00:06:15] However, those using generative AI report improved employee satisfaction and operational efficiencies.

[00:06:22] Oh, and there's this story.

[00:06:24] OpenAI's projections indicate that the company will not achieve profitability until 2029, with anticipated revenue reaching $100 billion.

[00:06:32] However, losses could escalate to $14 billion in 2026, nearly tripling the expected loss for this year, according to financial documents reviewed by the information.

[00:06:44] This estimate excludes stock compensation, a significant non-cash expense for OpenAI.

[00:06:52] Why do we care?

[00:06:53] The previous statements all stand here.

[00:06:55] AI is not a magic bullet and its full potential is still several years away.

[00:07:00] The Fairfax County use case presents a scalable model for how AI can be deployed to optimize public sector services.

[00:07:07] IT providers, particularly those working with government contracts, should take note of the shift toward AI in call management systems.

[00:07:14] I reported yesterday on the thoughts of the help desk being disrupted too.

[00:07:18] It's all intermingled.

[00:07:19] And notably, on a timeframe, potentially like OpenAI's.

[00:07:24] Fully profitable in 2029, perhaps?

[00:07:28] And lots of big ideas this week.

[00:07:31] First, on leadership, the information highlights how Microsoft CEO Satya Nadella engages with startup founders, venture capitalists, and Fortune 500 CEOs to stay ahead of business threats.

[00:07:42] His recent conversation with Aravant Sranvenas, CEO of AI startup Perplexity, highlights his proactive approach to understanding competitors like Google and emphasizes his detailed focus, showcating his idea of founder-bound operating style.

[00:07:56] The Register has more on Microsoft.

[00:07:59] Microsoft's co-pilot AI initiatives have underperformed, failing to meet enterprise needs and leading to skepticism about their value.

[00:08:06] While Teams has seen some success, the overall integration of co-pilot into Microsoft 365 has yet to justify the investment.

[00:08:15] In contrast, Google's Notebook LM offers a promising solution for enterprises to manage and query documents effectively, highlighting a gap in Microsoft's offerings despite its significant investments in AI.

[00:08:27] Microsoft is chasing Google again.

[00:08:31] Microscope reviews how organizations are projected to spend over $630 billion on AI by 2028, presenting challenges and opportunities for the IT channel.

[00:08:41] Key considerations include the need for a robust infrastructure to support AI, ensuring data cleanliness and security, addressing security risks associated with AI systems, and bridging the talent gap in the AI market.

[00:08:53] Channel partners can be crucial by providing tailored solutions, building comprehensive AI tech stacks, and navigating governance and compliance standards.

[00:09:03] And Amy Lenander of Capital One writes in Forbes about making data AI-ready.

[00:09:08] To prepare for AI, organizations should foster a data-driven culture, leverage proprietary data, establish central data platforms, capture various data types, and cultivate talent.

[00:09:20] These principles create a robust data ecosystem that enables effective AI utilization, requiring ongoing investment and commitment from leadership to adapt and thrive in the landscape.

[00:09:30] And finally, over in Managed Services Journal, computer vision is emerging as a lucrative opportunity for managed services providers, with the market expected to grow significantly.

[00:09:41] Key applications include quality control, inventory management, security surveillance, retail analytics, and healthcare.

[00:09:49] Providers can offer value-added services such as consultation, data management, and ongoing support, while monetization strategies may include one-time fees, subscriptions, usage-based pricing, and value-based pricing.

[00:10:01] Radius AI's Shop Assist exemplifies innovative solutions in retail, enhancing self-checkout experiences while reducing theft and improving inventory management.

[00:10:13] Why do we care?

[00:10:15] This week's ideas are a mix of leadership insights, AI struggles, market growth, and opportunities for providers.

[00:10:21] The overarching theme is that AI is not a one-size-fits-all solution.

[00:10:25] Customers need strategic, tailored advice to get the most out of their investments.

[00:10:30] Service providers are in a prime position to offer this guidance.

[00:10:36] Thanks for listening.

[00:10:38] Today is National Coming Out Day, also National Sausage Pizza Day.

[00:10:42] I'll be doing two live broadcasts as part of SMB TechFest on October 17th and 18th, so make sure to sign up and join the event.

[00:10:50] SMBTechFest.com slash go slash Sobel, link in the show notes.

[00:10:54] This weekend, tomorrow in the podcast feed is the live show from this week featuring journalist Paris Marx.

[00:11:00] We talk about their upcoming series on data centers.

[00:11:04] Then on Sunday, Colin Graves discusses data readiness.

[00:11:08] Both of these are can't-miss episodes.

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