CO/AI’s Post

Embracing AI: Navigating the Journey to AI Maturity in Your Organization Taking the first steps towards AI adoption can be daunting, but the transformative benefits are undeniable. From improving efficiency to enabling smarter decision-making, AI can redefine your business landscape. Sharing a personal anecdote: When we first introduced AI in our organization, the initial excitement was quickly tempered by the challenges of integration and alignment with existing processes. But with persistence and a clear strategy, the results have been remarkable. Here are some key stages on the AI maturity journey: -Initial Adoption: Exploring use cases and setting objectives. -Piloting & Experimentation: Testing AI models in controlled environments. -Scaling Up: Integrating AI solutions into core operations. -Full Integration: Achieving seamless AI-driven workflows. ❓ How is your organization embracing AI? What challenges have you faced along the way? Let's discuss your experiences and strategies for navigating this exciting journey! 🚀 #ArtificialIntelligence #AIMaturity #InnovationJourney #FutureTech #AIIntegration #BusinessTransformation https://lnkd.in/eN9iBAPs

AI-Powered Ammo Vending Machines: Convenience or Controversy? The introduction of AI-powered ammo vending machines raises a significant question: are they a step forward in convenience or a path to controversy? Imagine being able to purchase ammunition in a matter of minutes with just a few taps on a screen. These machines promise to revolutionize the way consumers access ammo, particularly in remote areas or during odd hours. But with innovation comes a host of concerns about safety, regulation, and ethical implications. What are your thoughts on this tech-driven approach to ammunition sales? Have any of you seen or used these machines? 🤔 https://lnkd.in/eN9iBAPs

These firms may become the consultative sales force new AI technologies need in order to be integrated into large enterprises: After ChatGPT's release in November of 2022, large software companies and a sea of new startups have begun offering a range of enterprise AI solutions from custom models to customer service agents Excitement is building throughout the corporate landscape to utilize new AI tools. However, finding the promised productivity gains has not been so simple. Integrating new AI tooling comes with questions across companies from employees asking: Will this replace my job? to Executives wondering: Are they using our proprietary data to train their models? This organizational resistance to new AI tools seems to have led to the consultative sales force of consultative sales forces -- consulting firms -- to be called in. These firms are often the go-to partners for large corporations to not only integrate new technology but also manage risk. This approach could put them in a perfect position to sell the solutions themselves: PwC has Partnered with OpenAI to sell ChatGPT Enterprise to their customers. PwC's U.K. and U.S. branches will be the first to resell OpenAI's business-focused chatbot. "We are actively engaged in GenAI with 950 of our top 1,000 US consulting client accounts" - PwC Mckinsey has also recently inked a partnership with Microsoft to help clients with AI integration. The two have joined forces to leverage generative AI in enterprise and shared services operations, enhancing the long-standing alliance between the two companies. Their partnership will combine Microsoft's Copilot Studio with McKinsey's expertise in strategy, organizational change, digital transformation, and implementation. Led by QuantumBlack McKinsey’s designated AI consulting arm. These partnerships very well may be both a reaction and a first step as large-scale integration and resistance are the key issues at hand for new AI Products.

NVIDIA Releases Ace: The Future of Digital AI Avatars Modular components designed to generate realistic digital human content, including speech recognition, and text-to-speech, facial and body animations, enabling lifelike virtual interactions. Initial Industry Applications: Customer service, gaming, and healthcare sectors are the first to implement ACE technologies to create lifelike digital humans for tasks like customer service or telehealth. The rise of AI agents, or automated autonomous software programs that can interact with the world just like humans to complete tasks, will only become more advanced as agents themselves can now take on digital avatars to perform jobs, such as customer interactions.

🧬 "We make tests intelligent by connecting laboratory results to a patient’s own clinical data" 📡 Tempus AI a health tech company, that provides "AI-enabled precision medicine" filed for an IPO with the SEC on May 21 -Founded in 2015, Tempus has developed the world's largest library of clinical and molecular data and an operating system for precision medicine. -They focus on AI-enabled diagnostics across various fields including cardiology, neuropsychology, and radiology and their Platform can ingest real-time healthcare data to personalize diagnostics. -Its services are utilized by 95% of the largest public pharmaceutical companies and over 7,000 physicians. -Tempus' platform connects providers through "dedicated data pipelines that create a network of healthcare institutions through approximately 450 unique data connections across more than 2,000 healthcare institutions." -Tempus has partnered with major pharmaceutical companies such as Pfizer, GSK, and AstraZeneca.

"The work has really just begun." New Research From Anthropic (The Maker of Claude) - They have the first detailed look inside a modern large language model. -A subfield of AI research: Mechanistic Interpretability Aims to understand how these models work by examining their internal mechanisms Or “Reverse engineer neural networks” - Anthropic -For the first time, Anthropic made significant strides in interpreting AI models, specifically Claude 3 Sonnet, using a technique called "dictionary learning." -Finding Patterns: They identified approximately 10 million patterns, or "features," that represent different concepts within the model. -When these features are triggered they change model output. -This is the first step in understanding models and tracing LLMs from training data to final output.

🤖 The Future of Search: Google's redesign highlights the growing importance of AI in search engines and perhaps AI's role in displacing traditional online queries altogether. 💭 -The Introduction of "AI Overviews" AI-generated summaries will now appear at the top of search results. Designed to provide users with quick, concise answers to their queries. These are expected to reduce the need for users to click through to websites for information -The Powerhouse Behind the Redesign: Google’s Gemini AI model plays a central role in the new features Capable of summarizing web content efficiently Trained on vast amounts of data -Concerns Raised by Web Publishers Potential for a significant reduction in site traffic AI-generated summaries may discourage users from visiting websites for more detailed information Possible impact on ad revenue and user engagement for web publishers -"In earlier tests, Google served ads above and below AI Overview, but it now plans to experiment with sponsored search and shopping ads within the window itself"- Marketingdrive

Creative Artists Agency (CAA) is rolling out "theCAAvault" 🎥 🤖 -A virtual media storage system for A-list talent to store digital assets (names, images, digital scans, voice recordings) that aims to protect celebrities' AI likenesses. -TheCAAvault allows celebrities to securely store, share, and monetize their digital doubles. This ensures rightful compensation for using digital likenesses, enhancing rather than reducing opportunities. -This initiative is a response to debates on AI cloning's impact on job opportunities and unauthorized use of deceased celebrities' likenesses. - "Frankly, our view has been that the law is going to take time to catch up, and so by the talent creating and owning their digital likeness with [theCAAvault]… there is now a legitimate way for companies to work with one of our clients"- CAA Head of Strategic Development, -This is occurring while Alphabet (Google) and Meta are negotiating with Hollywood studios to license content for AI video generation software.

Google Release’s AlphaFold 3: -AlphaFold by Deepmind, Google’s AI lab, is an AI model that predicts protein structures from sequences, a once impossible task. -Model Enhancement: AlphaFold 3, the latest version, can now predict interactions among almost all molecules essential to life -A Big Step: “AlphaFold 3 is the next iteration of AlphaFold models that took on and solved one of biology's toughest problems: predicting the structure of proteins from their amino acid sequence.” - Axios' -AI's Role in Biology: AI is transforming biology from a science to an engineering discipline, creating new possibilities in medicine. -In fact “More than 2,000 gene therapies and modified cell therapies are currently under development, along with 800-plus non-genetically modified cell therapies, according to the American Society of Gene & Cell Therapy” -Danaher -A future will exist when drugs can be programmed and tested all via computer