Fieldguide’s Post

Don't miss tomorrow's interactive webinar with Fieldguide! LBMC’s panel of experts, Drew Hendrickson, Jon Hilton, and Cori Macy, will be sharing top AI use cases, practical approaches for getting started, and organizational best practices for ethical AI implementation starting at 12 pm CT. Save your seat: https://lnkd.in/gkQikbZY #AI #cybersecurity #bestpractices

Thanks LBMC team for sharing your real-word best practices on AI today! 🎉 It was great hearing the insights from Drew Hendrickson, CPA, CCSFP, CIPP-US, Jon Hilton & Cori Macy, along with Fieldguide's Phil Del Bello. 💡 #accounting #ai #artificialintelligence #bestpractices

My top 4 takeaways from the #McKinsey AI Report 2024 👉   1. The spread of GenAI among organisations is huge: 65% of respondents say their organisations are regularly using GenAI in at least one business function, up from one-third last year. 2. The average organisation using GenAI is doing so in two functions, most often in marketing and sales and in product and service development, as well as in IT. 3. Inaccuracy and intellectual property infringement are the most recognised and experienced risks of GenAI use. Top-3 Gen AI risks that organisations consider relevant are: inaccuracy (63%), intellectual property infringement (52%), and cybersecurity (51%). 4. There are three #archetypes for implementing GenAI solutions: #takers use off-the-shelf, publicly available solutions; #shapers customise those tools with proprietary data and systems; and #makers develop their own foundation models from scratch.   📚 Reference: “The state of AI in early 2024: GenAI adoption spikes and starts to generate value”, QuantumBlack AI, McKinsey (2024). The report is available at 👉 https://lnkd.in/eXQJGDwd   Remember to subscribe to my blog at 👉 https://lnkd.in/enNb4PAC   #takeaways #AI #Strategy #Analytics #Insights #Trends #GenAI #GeLLM

AI is changing our world. In 2024, Boards should consider conducting a risk assessment of AI’s impact on their business if they haven’t already. Boards should be asking essential questions like: Does the board and management see AI as a force for good, a danger to world order, or something in between? Could we use AI to augment employee efficiency and effectiveness? Should we even use it at all? A board of directors has a responsibility to understand AI’s impact on all stakeholders, including investors, customers, employees, suppliers, and the community. Companies should also continue to invest in cybersecurity measures and foster a culture of continuous learning to keep pace with evolving AI technologies. https://lnkd.in/ev7QXPcq

Empowering Your Business for the AI-Driven Decision Revolution…

Is your enterprise truly ready for AI? As businesses race to harness AI's potential, the associated risks grow in complexity and scope. Preparing for these risks is more critical than ever. To guide through this transformation, Team8's CISO and Data Villages have just published "The Road to Enterprise-Ready AI," a comprehensive report that outlines the key risks and emerging solutions in the AI landscape. This report covers 6 threats such as: 🛡️ Data Privacy 🔒 Adversarial Threats 📜 Compliance and Governance ⚖️ Bias and Fairness 📝 Content Liability 🧩 And Explainability Additionally, it provides actionable tips and predictions for security and data teams and a detailed map of future innovations in the AI space. Thank you to the Team8 writers and contributors from the Team8 CISO and Data Villages including Aviad Harell, Amir Zilberstein, Bobi Gilburd, Noa Hen, Sebastien Rozanes, Christoph Peylo, Krishna Cheriath and Adam Zoller. Read the full report here!  https://lnkd.in/d3f2n64w 

"56 per cent of Fortune 500 companies cited AI as a “risk factor” in their most recent annual reports, according to research by Arize AI. The figure is a striking jump from just 9 per cent in 2022." - Financial Times - The risk is real, but so are the rewards -- so what's a company to do? 👀 - Our team has been advising and guiding enterprise organizations through the vast and ever-changing world of complex technology for almost 40 years. The unique advantage we provide is the balanced perspective of secure digital transformations, so everything that we do is viewed through a lens of #security - including our #GenAI portfolio. - https://lnkd.in/dtRyn326

As we continue to harness the potential of AI, it’s crucial to prepare for the complex and evolving risks it brings. Our latest report, "The Road to Enterprise-Ready AI," offers comprehensive insights into these challenges and the solutions to navigate them. The curation of the report tapping expertise from our CISO and Data Village including from Sebastien Rozanes, Team8 Governing Committee Member and former Global Chief Data and Analytics Officer at Carrefour and others. 📊 Key Highlights of the Report: AI Risks: Data privacy, adversarial threats, compliance, bias, content liability, and explainability. Opportunities: How AI can revolutionize business operations. Future Prospects: What lies ahead for AI in large enterprises. Actionable Tips: Guidance for security and data teams. And More... 🔗 Read the full report here: https://lnkd.in/d3f2n64w

Thanks to Gartner for this article to Determine whether GenAI makes sense for your use case: This is important because some use cases are not a good fit for AI and do not merit further consideration. Map your use case against the relevant use case family. GenAI is: Highly useful: Content generation, conversational user interfaces, knowledge discovery Somewhat useful: Segmentation/classification, recommendation systems, perception, intelligent automation, anomaly detection/monitoring Hardly useful: Prediction/forecasting, planning, decision intelligence, autonomous systems This is very important and we met in our experience during last months in Aton S.p.A. Società Benefit GenAI may also be a poor fit for your use case if the risks that come with it are unacceptable and cannot be effectively mitigated. These include unreliable outputs, data privacy, intellectual property, liability, cybersecurity and regulatory compliance, either alone or in combination with one another. Andrea Cobre Germano Rizzo Mattia Nanetti Marco Galiazzo Find more in the original article here:

With people beginning to talk about deploying AI Agents and AI becoming systemic across organizations its time to stop thinking about just making AI "Responsible" and instead thinking about how you can Trust AI. Where Responsible AI looks predominantly at a single solution, Trusted AI looks at the changes required from business strategy through to operations when AI isn't just a few independent projects.