A new report from Source claims that 55% of its tech clients are considering restructuring due to the increasing integration of AI. The report attributes these changes as a direct result of AI, stating it's "impossible to hide from the impact of AI." This suggests that tech firms are preparing for significant organizational changes in the next 18 months.
Amazon's Arabic AI technology has been developed by home-grown talent in the UAE, with Abu Dhabi unveiling an action plan to protect publics from extreme weather using AI. The model's power is being showcased in the UAE, with Amazon expanding its presence in the country.
The AI euphoria could be the biggest bubble yet, with billions of US dollars in venture funding flowing into companies building transformative AI products. Investors like Selby caution that valuations might have been pushed too high, as margins haven't yet caught up. Comparing it to the dot-com bust 25 years ago, Selby notes that a glut of AI companies across the globe could lead to many companies not surviving when the bubble pops. He estimates that tens or hundreds of billions of investor dollars will be "incinerated". OpenAI CEO Sam Altman also sees parallels between the AI investment frenzy and the dot-com bubble, while a Massachusetts Institute of Technology initiative found that 95% of generative AI projects in the corporate world have failed to yield any profit.
The article "Understanding the Legal Hurdles of Artificial Intelligence: Questions to Ask and How to Be Protected" provides a framework for navigating the shift towards AI in law. The three pillars required to build a future-proof practice are not explicitly stated, but the article emphasizes the importance of understanding the legal implications of AI adoption. The article highlights the need for lawyers to ask questions about AI, such as "What data is being used?" and "How will decisions be made?" to ensure they are protected from potential liabilities. The article also notes that the use of AI raises questions about liability, accountability, and transparency, requiring lawyers to be proactive in addressing these concerns.
Ant Group warns that US tech giants, including OpenAI and Nvidia, are making "fake promises" around open-sourcing AI models. The Chinese fintech giant claims that these companies are using open-source tools to lock developers into their closed-source AI ecosystems. For instance, Nvidia's Dynamo, an open-sourced operating system for AI, is optimized specifically for Nvidia GPUs. Similarly, OpenAI and Google have released open-source AI agent frameworks that are designed to work with their proprietary models, not independent ones.
Apprenti's new Apprenti AI Training Apprenticeship program aims to equip workers with the knowledge and tools needed to thrive alongside AI technologies. The program, developed in collaboration with North Carolina State University's AI Academy, will provide a nationally recognized certificate and upskill participants in their current positions. The initiative combines rigorous technical instruction with real-world relevance, addressing the growing need for AI talent in various industries. With a proven record of success through its initial launch, the program is expected to increase apprenticeships annually to 5,000.
Arcanis launches AI platform to streamline VC deep decision research. The solution, which is customizable and agnostic of investment philosophy, provides a bias-free, standardized, and verifiable research outcome. It bridges the gap between research and decision-making using data verification and recovery methods, including OSINT techniques. CEO Alex Prokofyev stated that the platform aims to introduce standards and tools that will change the game using AI and information abundance. The platform offers practical advantages for AMs, LPs, family offices, GPs, including decision-ready company research, investment decision dashboards, and fair price benchmarking for secondary trade.
CrowdStrike has integrated its Falcon platform with major tech companies, including Amazon Web Services (AWS), Intel, Meta, Nvidia, and Salesforce, to provide protection across the AI stack. This integration aims to safeguard against AI models being stolen, data being poisoned, agents being manipulated, and cloud workloads being hijacked. CrowdStrike Chief Business Officer Daniel Bernard emphasized the importance of securing AI, not just technology, but also the ecosystem where AI is built, deployed, and used.
A new framework aims to simplify the process of training and deploying AI models in a multi-cloud environment. The proposed framework, designed to be vendor-agnostic, utilizes AWS Lambda, Google Cloud Functions, and Azure Functions, orchestrated through Kubernetes. This approach enables quick, affordable, and cloud-agnostic deployment of models, addressing a key challenge in AI adoption.