News from the AI & ML world
DeeperML
Imran Aftab,@AI News | VentureBeat
//
Tech leaders are rapidly deploying agentic AI, a cutting-edge technology poised to revolutionize the work ecosystem. These dynamic AI agents are designed to augment human decision-making, offering solutions to complex challenges across various industries. Companies are exploring these AI agents, recognizing their potential to take over labor-intensive tasks and provide real-time insights. However, the implementation requires careful consideration of training, testing, and guidance, similar to onboarding new employees.
Despite the enthusiasm surrounding agentic AI, concerns regarding security readiness persist. IT security leaders acknowledge the potential benefits of AI agents but express significant readiness gaps in deploying proper safeguards. To effectively manage these systems, a "human-in-the-loop" approach is crucial, ensuring accountability and risk mitigation. Organizations must establish collaborative frameworks that balance autonomy with robust oversight, aligning AI decisions with broader strategic goals and maintaining ethical standards.
To harness the full potential of agentic AI, organizations must prioritize AI fluency among their workforce. AI upskilling remains under-prioritized, with a surprisingly small percentage of staff receiving adequate training. Fostering a culture that embraces technological change through regular training about agentic AI, and highlighting its strengths and weaknesses is essential. Furthermore, role-based training can empower employees across different capacities to effectively utilize generative AI, promoting successful human-AI collaborations and ensuring that the workforce is prepared for this technological shift.
ImgSrc: venturebeat.com
References :
Despite the enthusiasm surrounding agentic AI, concerns regarding security readiness persist. IT security leaders acknowledge the potential benefits of AI agents but express significant readiness gaps in deploying proper safeguards. To effectively manage these systems, a "human-in-the-loop" approach is crucial, ensuring accountability and risk mitigation. Organizations must establish collaborative frameworks that balance autonomy with robust oversight, aligning AI decisions with broader strategic goals and maintaining ethical standards.
To harness the full potential of agentic AI, organizations must prioritize AI fluency among their workforce. AI upskilling remains under-prioritized, with a surprisingly small percentage of staff receiving adequate training. Fostering a culture that embraces technological change through regular training about agentic AI, and highlighting its strengths and weaknesses is essential. Furthermore, role-based training can empower employees across different capacities to effectively utilize generative AI, promoting successful human-AI collaborations and ensuring that the workforce is prepared for this technological shift.
ImgSrc: venturebeat.com
Share:
References :
- AI News | VentureBeat: Adopting agentic AI? Build AI fluency, redesign workflows, don’t neglect supervision
- www.zdnet.com: Tech leaders are seemingly rushing to deploy agentic AI - here's why
- Stack Overflow Blog: Christophe Coenraets, SVP of Developer Relations at Salesforce, tells Eira and Ben about building the new Salesforce Developer Edition, which includes access to the company’s agentic AI platform, Agentforce.
- techstrong.ai: American business executives are bullish on artificial intelligence (AI), and making their bets primarily on AI agents. In fact, more than a quarter plan AI-related budget increases of at least 26%, according to PwC's AI Agent Survey released Friday.
Classification:
- HashTags: #AgenticAI #AIAdoption #DataGovernance
- Target: Enterprises
- Product: AI Agents
- Feature: Workflow Redesign
- Type: AI
- Severity: Informative