AI Readiness Challenges, VMware & Intel Struggles, Microsoft & OpenAI Innovations

[00:00:02] It's Tuesday, November 26th, 2024, and I'm Dave Sulk. Four things to know today.

[00:00:07] Urgency outpaces capability. Organizations are struggling with AI readiness amid growing demand.

[00:00:14] From banking to farming to classrooms, how AI is reshaping productivity and operations.

[00:00:20] VMware's price hikes and Intel's missteps open doors for competitors.

[00:00:24] And Microsoft's Recall, OpenAI's GPT-40 and Anthropics integration protocol.

[00:00:30] This is the Business of Tech.

[00:00:34] A recent Cisco report reveals that IT leaders are feeling greater pressure to adopt artificial intelligence,

[00:00:40] but are less prepared than a year ago. The survey indicates that 85% of respondents believe they have

[00:00:46] less than 18 months to act on AI, with 60% feeling they need to deliver within 12 months. However,

[00:00:53] only 13% of organizations feel fully ready to harness AI's potential, a slight decrease from 14%

[00:01:00] last year. Furthermore, 80% report issues with data management for AI initiatives, and only 31%

[00:01:07] believe their talent is adequately prepared to leverage AI. Despite these hurdles, companies plan

[00:01:13] to allocate approximately 30% of their IT budgets to AI over the next five years, nearly double the

[00:01:20] current investment. A recent survey commissioned by Google Workspace reveals that 88% of workers would

[00:01:26] utilize artificial intelligence to tackle overwhelming tasks. The findings show that 82% of participants

[00:01:33] already use AI tools at work. Additionally, 70% have employed AI for writing emails, and 90% feel more

[00:01:41] confident attending meetings if AI can take notes.

[00:01:46] Why do we care? The Cisco and Google Workspace surveys highlight a growing divide between the urgency to

[00:01:53] adopt AI and organizations' readiness to do so. Ambition far outstrips capability. The 80% citing challenges with

[00:02:03] data for AI indicates a structural problem. Without clean, accessible, and labeled data, even sophisticated AI models fall short.

[00:02:12] Investments in AI should start with ensuring data is structured, accessible, and actionable.

[00:02:17] Vendors specializing in data infrastructure, ETL pipelines, and governance will find a growing market.

[00:02:24] IT service providers have a pivotal role to play in guiding organizations through this landscape,

[00:02:29] ensuring that urgency does not eclipse readiness. The gap between enthusiasm and execution presents

[00:02:36] challenges, but also immense opportunities for those who offer pragmatic, scalable solutions.

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[00:03:36] Listeners have been keen on AI use cases and implementations, so here are a few stories.

[00:03:42] BBVA has expanded its use of ChatGPT, acquiring 3,000 licenses for OpenAI's enterprise tool. Initial reports

[00:03:50] indicate that employees have experienced productivity

[00:03:52] boosts with 8 out of 10 users claiming they save over 2 hours each week. However,

[00:03:58] challenges remain regarding the integration of ChatGPT with BBVA's complex internal systems.

[00:04:05] Elena Alfaro, the bank's head of global AI adoption, emphasized the need for further learning and

[00:04:11] adaptation to increase their user base to 3,300 by 2025. Despite the promising engagement data,

[00:04:19] Alfaro remains cautious about the long-term financial impacts, stating that the value of this technology extends beyond immediate savings.

[00:04:29] Microsoft has introduced a new suite of specialized artificial intelligence models to transform sectors such as manufacturing and agriculture.

[00:04:36] In partnership with industry leaders like Siemens, Bayer, and Rockwell Automation,

[00:04:41] these models are designed to tackle specific challenges, offering immediate operational improvement.

[00:04:46] Satish Thomas from Microsoft emphasized that these solutions are tailored to meet the unique needs of different industries,

[00:04:53] facilitating the adoption of AI at scale. One application includes the factory namespace manager from SiteMachine,

[00:05:01] which standardizes machine data across factories, potentially unlocking significant operational efficiencies.

[00:05:08] In addition, Bayer's crop protection model will assist farmers in navigating crop treatment decisions amidst challenges like climate change.

[00:05:17] As companies increasingly face modernization pressures, Microsoft's targeted approach could impact industry operations and drive adoption.

[00:05:26] And OpenAI has launched a free online course aimed at helping K-12 teachers incorporate ChatGPT into their classrooms in collaboration with Common Sense Media.

[00:05:38] While the course has been deployed in several school districts across the United States,

[00:05:42] some educators express skepticism about its efficacy and ethical implications.

[00:05:47] Notably, a survey by the Pew Research Center found that one in four public K-12 teachers believe that using AI tools in education does more harm than good.

[00:05:58] Concerns persist about normalizing AI among educators who may need to fully understand its limitations, especially regarding privacy data and use.

[00:06:07] OpenAI is pursuing the education sector aggressively, with a market for AI in education potentially reaching $88 billion in the next decade.

[00:06:16] However, resistance from educators and mixed research results on its impact on learning may hinder progress in the area.

[00:06:23] Why do we care?

[00:06:25] The common thread in these stories is the challenge of integrating AI into complex environments.

[00:06:31] Providers that specialize in system interoperability and legacy system modernization will be well-positioned.

[00:06:39] IT service providers should focus on AI integration services and change management strategies for clients, enabling seamless alignment with existing systems.

[00:06:48] Opportunities also exist in demonstrating measurable long-term value beyond initial productivity boosts.

[00:06:58] Let's catch up on VMware and Intel.

[00:07:01] Amazon Web Services has launched a new service called Amazon Elastic VMware Services, allowing users to run Broadcom's VMware Cloud Foundation in the cloud.

[00:07:10] This service aims to streamline the setup of private cloud environments, promising a complete setup in just a few hours without the need for changes to IP addresses or retraining staff.

[00:07:20] The VMware Cloud Foundation includes essential tools for virtualization and management.

[00:07:25] According to the Verge, Intel's recent launch of the Arrow Lake-based Core Ultra 9 200S series processor has not met expectations, particularly in gaming performance.

[00:07:37] Despite initial claims that the new chips would not surpass AMD's offerings, reviewers found them to underperform compared to AMD's Ryzen 9800X3D and Intel's previous Raptor Lake chips.

[00:07:50] During a recent interview, Intel's VP Robert Halleck acknowledged the performance issues, clarifying that the problems are solely Intel's responsibility and not due to external factors.

[00:08:02] Halleck indicated that a comprehensive update on the issues and a simple fix involving a BIOS flash and Windows update is expected by late November or early December.

[00:08:11] And the Biden administration plans to reduce Intel's federal grant under the CHIPS Act from $8.5 billion to less than $8 billion, following delays in the company's investments and broader business struggles.

[00:08:23] Intel, the largest recipient of CHIPS funding, has postponed the completion of its CHIPS facilities in Ohio until the end of the decade instead of the originally planned 2025.

[00:08:34] The company's recently quarterly loss was the largest in its 56-year history, and it's also cutting 15,000 jobs.

[00:08:42] Why do we care?

[00:08:44] As Broadcom focuses on enterprise clients and subscription pricing, smaller organizations and nonprofits feel the pinch, leading many to explore other virtualization options.

[00:08:54] VMware's pricing woes and Intel's performance missteps highlight vulnerabilities in two of the IT industry's stalwarts.

[00:09:01] While customer inertia and interest's ecosystems may slow immediate shifts, both companies risk losing long-term market share to competitors better aligned with customer expectations.

[00:09:12] IT service providers, competitors, and cloud platforms have a unique opportunity to step in with value-driven solutions that address the dissatisfaction plaguing these markets.

[00:09:24] Microsoft has released the first preview of its Recall AI feature for Copilot Plus PCs, marking a significant development in their AI ambitions.

[00:09:34] This feature takes screenshots of user activities to create a searchable memory and is available to Windows insiders in the dev channel.

[00:09:41] Users can search their past activities using natural language queries and navigate through a scrollable timeline.

[00:09:47] Recall is optional, requiring users to opt-in, and it has built-in safeguards for sensitive information.

[00:09:55] The feature is initially limited to Qualcomm-powered devices with support for Intel and AMD coming soon.

[00:10:01] Users must have Windows Hello, BitLocker, and Secure Boot enabled to use Recall.

[00:10:07] This release follows multiple delays due to security concerns, with researchers now set to evaluate the feature before its broader rollout.

[00:10:15] OpenAI has updated its flagship model, GPT-4-0, enhancing its reasoning, multimodality, and conversation capabilities.

[00:10:23] The latest update, released on November 25, 2024, improves file reading and writing, allowing the model to generate more natural text.

[00:10:32] In independent testing on the chatbot arena leaderboard, GPT-4-0 was rated the best large-language model, outperforming its competitor, Gemini AXP-1114.

[00:10:43] The update, called ChatGP-240, also enhances performance in creative writing, coding, and responding to complex prompts.

[00:10:52] Anthropic has launched a new open-source tool designed to connect artificial intelligence systems directly to various data sources,

[00:10:59] enhancing their ability to provide accurate responses and complete tasks.

[00:11:03] Known as the model context protocol, this tool offers a universal connection that aims to streamline the integration process for developers,

[00:11:12] allowing them to link their AI systems to multiple data sets without creating custom code for each one.

[00:11:19] Why do we care?

[00:11:20] This innovation comes as the industry is increasingly focusing on enhancing the capabilities of AI assistants.

[00:11:28] Companies like Replit and Codium have begun utilizing this protocol to improve their agents.

[00:11:33] While Microsoft and OpenAI aim to strengthen their leadership through cutting-edge capabilities,

[00:11:38] Anthropic's focus on simplifying AI infrastructure signals a complementary trend.

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[00:12:38] Thanks for listening.

[00:12:39] Today is National Cake Day.

[00:12:41] It's also International Cake Day.

[00:12:44] And somehow also National Health Day.

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