HealthyData

VERY important and we all know, this is happening, most employees use #ChatGPT on their phone or browser on their PCs - even doctors do (incompliantly): What is shadow AI? Shadow AI is the unsanctioned use of any artificial intelligence (AI) tool or application by employees or end users without the formal approval or oversight of the information technology (IT) department. A common example of shadow AI is the unauthorized use of generative AI (gen AI) applications such as OpenAI’s ChatGPT to automate tasks like text editing and data analysis. Employees often turn to these tools to enhance productivity and expedite processes. However, since IT teams are unaware of these apps being used, employees can unknowingly expose the organization to significant risks concerning data security, compliance and the company’s reputation. For CIOs and CISOs, developing a robust AI strategy that incorporates AI governance and security initiatives is key to effective AI risk management. By committing to AI policies that emphasize the importance of compliance and cybersecurity, leaders can manage the risks of shadow AI while embracing the benefits of AI technologies. Shadow IT versus shadow AI To understand the implications of shadow AI, it's helpful to distinguish it from shadow IT. Shadow IT Shadow IT refers to the deployment of any software, hardware or information technology on an enterprise network without an IT department or CIO’s approval, knowledge or oversight. Employees might turn to unsanctioned AI technology when they find existing solutions insufficient or believe that the approved options are too slow. Common examples include using personal cloud storage services or unapproved project management tools. Shadow AI While shadow IT focuses on any unauthorized application or service, shadow AI zeros in on AI-specific tools, platforms and use cases. For instance, an employee might use a large language model (LLM) to quickly generate a report without realizing the security risks. The key difference lies in the nature of the tools being used: Shadow AI is about the unauthorized use of artificial intelligence, which introduces unique concerns related to data management, model outputs and decision-making. https://lnkd.in/ebjWkyer #ai #artificialintelligence #samd #aiamd #medicaldevices #regulatoryaffairs #regulation #regulatorycompliance #healthcare #digitalhealth #research #eo #euaiact #hhs #fda #scientificresearch #llm

AI + Robots This is how the future looks like Bravo Tesla ??

Latest AI Healthcare Updates for September 2024: AstraZeneca opens its new Discovery Centre in Cambridge, UK, aimed at breakthrough R&D for 2,000 employees. Immunai Inc. partners with AstraZeneca in an $18M deal to enhance clinical decision-making using AI. Lundbeck teams up with Iambic Therapeutics to accelerate neurological research with AI-powered drug discovery. Arch Venture Partners raises over $3B for its 13th fund, focusing on AI-driven biotech innovations. Generate: Biomedicines partners with Novartis in a $1B deal using AI to discover protein-based therapeutics. AllazoHealth launches AI-driven dynamic content to boost patient communication and medication adherence. Eradivir secures $10.25M Series A funding to advance its influenza therapeutic. Sinopharm leverages AI to advance early diagnosis, healthy aging, and life extension. Bayer partners with NextRNA in a $547M deal targeting long noncoding RNA for cancer treatment. Eli Lilly partners with Genetic Leap in a $409M AI-driven drug discovery deal targeting RNA.

AI Agents: Catalyst for Change or Cause for Concern Imagine a world where AI not only answers our questions but performs tasks for us. This innovative technology goes beyond providing information - it can independently complete entire tasks (but AI won’t replace critical thinking yet). These AI agents are the future of intelligent automation that functions smoothly without much human input. They're super-smart digital assistants that can handle complex tasks and streamline our processes. ? These AI agents are being hailed as the darling of AI in 2024, but the concept of AI agents has evolved over several decades. From the 1950s, when early foundations of AI were laid, including concepts that would later contribute to agent theory, to the 2000s, when Agent-based approaches became widely adopted in various AI applications, from software assistants to robotics… Are you curious how this breakthrough could impact your industry? Please read the full article on our website...https://lnkd.in/gj4zpEVu

Latest AI Healthcare Updates AI Healthcare News: Innovations, Mergers, and Research Revealed ?Major pharma firms are partnering with AI-driven companies to accelerate drug discovery, targeting neurological conditions and beyond ?A merger between two leading AI-driven biotech companies aims to redefine the drug discovery landscape with enhanced capabilities and a robust pipeline ?The race for longevity drugs is accelerating, with new treatments emerging in phases to extend both lifespan and health span, driving future growth in healthcare Watch the Latest Updates…https://lnkd.in/de3FnZuU

Generative AI: Transforming Pharma Generative AI is set to transform the pharmaceutical industry, potentially generating $60-$110 billion annually. Key benefits include: Accelerated Drug Development: Rapid identification and approval of new drugs Significant cost and time reductions Enhanced R&D Productivity: Addressing industry challenges such as patent expirations and regulatory demands Improving innovation and cost-effectiveness of new medicines Advanced AI Applications: Utilises big data, deep learning, and increased computing power Supports drug target identification, lead compound screening, and optimisation Industry Adoption: Sanofi and others leading AI-powered drug development Analysis of billions of molecules annually Improved development costs, success rates, and time to market Future Prospects and Challenges Clinical Trial Failures: High failure rates in Phase 2 trials remain a concern Human expertise needed to validate AI discoveries Policy and Ethics: Need for robust regulatory frameworks Industry collaboration to shape AI policies Generative AI promises to transform drug discovery and development, driving innovation and efficiency while reducing costs and timelines. Read the full article: https://lnkd.in/dRKeKTBf?