Brett Davis’ Post

🚀 Deloitte's latest "State of Generative AI in the Enterprise" report reveals transformative insights, crucial for businesses aiming to harness the full potential of GenAI. 🤖✨ 🔑 Key Takeaways: Scaling for Impact: Businesses are moving from experimental to substantial applications of GenAI, creating significant value. It’s clear that those with deep GenAI expertise are not just participating but leading the way, achieving remarkable benefits through aggressive scaling. Trust and Talent: Trust remains a critical barrier. As organizations scale GenAI from pilot phases to enterprise-wide deployments, building trust is as crucial as the technology itself. Moreover, GenAI’s rapid evolution is reshaping the workforce landscape, urging a strategic overhaul in talent management. Future Ready: Looking ahead, the strategic integration of GenAI will demand robust innovation and operational excellence. The savings and efficiencies gained from GenAI are not just numbers—they're opportunities for reinvestment into driving further innovation and enhancing operational capabilities. I see these developments not just as trends but as imperatives. For leaders in business and technology, the path forward involves a strong focus on scaling GenAI responsibly, fostering trust across all levels, and proactively managing the talent evolution. https://lnkd.in/dquQx6Bw 🌐 Dive into the full insights and join the conversation on how we can collaboratively steer the future of work with Generative AI! #GenerativeAI #AIinBusiness #HumanResources #FutureOfWork #StrategicInnovation

Thanks Aarush Agarwal for sharing this BCG article with me. In today's competitive landscape, the need for a modern technology platform to scale Generative AI (GenAI) effectively is undeniable. According to a recent BCG study, only a select few companies have successfully leveraged GenAI to drive substantial business outcomes. Over 70% of the top performers shared the following attributes: 1/ strong and "quantified" link between Gen AI initiatives and business outcomes, 2/ modern technology platform, and 3/ advanced data strategy (including unstructured data). For companies aiming to harness the full potential of GenAI, upgrading to a state-of-the-art technology platform and deploying an advanced data strategy is not just beneficial—it's essential. https://lnkd.in/g3a5nQrn

Decisions on how and where to integrate Generative AI into operations should be strategically aligned with a clear understanding of the potential risks. In selecting a use case to deploy, leaders must evaluate each idea on its merits across six key areas: 1️⃣ IMPACT How transformative is the solution? Will it automate an existing process or job entirely or supplement a human agent? 2️⃣ FUNCTION Where do I intend to deploy this solution, and what will be the receptivity of those stakeholders? 3️⃣ MEASUREABILITY How will we understand and measure the outputs and performance of this model? 4️⃣ PERMISSION SPACE What strengths in datasets and integrations does our business have to create a competitive moat? 5️⃣ TIME TO MARKET Based on the complexity of the solution and implementation level of effort, how soon can I begin to realize value? 6️⃣ EXTENSIBILITY Will this solution have broader potential to be deployed into other areas of my business or other customer groups? ✍ Deloitte. Asif Dhar, Michael McCallen, Tom Hittinger, Adarsh Gosu. From code to cure, how Generative AI can reshape the health frontier: Unlocking new levels of efficiency, effectiveness, and innovation. 2023. https://lnkd.in/degf5EME

Great exercise to implement with a design sprint workshop. A cross functional team of stakeholders can create a prototype to validate the idea for deployment.

This study of nearly 590 business leaders and decision makers from around Europe shows that 67% of companies are already using AI at their organizations and 38% have seen a return of investment in less than 12 months – plus a 3.3-fold return on each dollar spent on AI projects or initiatives. From the article you can download the paper to discover how business leaders and decision makers are currently bringing AI to life at their organizations. You can start your journey to accelerating value with AI from the very initial stages of adoption to experimentation and optimization.

Best Generative AI Post I've seen in a couple of weeks. While LLM/RAG/Vector DB research continues to move a million miles an hour, focusing on these fundamentals will put you on a successful path. Whether you're a business stakeholder or a data scientist, Jan's prioritization framework is a great starting point for your Gen AI use case evaluations.

Organizations worldwide are actively exploring the transformative potential of Gen AI to drive business value, enhance operational efficiency, and foster innovation across products, services, and business models.   Deloitte's AI Institute report highlights a significant increase in the adoption of generative AI among AI-driven organizations. Businesses are swiftly moving from experimental phases to larger-scale deployments, prioritizing speed, value, and effective risk management.   According to Deloitte’s survey, most respondents (79%) anticipate Gen AI to drive substantial transformation within their organization and industry over the next three years - with nearly a third expecting substantial transformation to occur now (14%) or in less than one year (17%).   While leaders express continued excitement about leveraging Gen AI and foreseeing transformative impacts in the short term, they also acknowledge uncertainty regarding its potential implications on workforces and society at large. This emphasizes the need for greater investment in talent development, governance, and global collaboration to navigate the evolving landscape of Gen AI effectively. Read more: https://lnkd.in/e2ajnsB3   #GenAI #DigitalTransformation #Innovation #Deloitte

We are pleased to announce the release of The Data Executive’s Guide to Effective AI. This eBook is tailored to assist data, analytics, and AI leaders in implementing and expanding AI initiatives successfully. With contributions from data executives at @Siemens, ServiceNow, @State, State Street, and more, this guide provides valuable insights and practical experiences to drive organizational transformation through innovative technologies. Prepare to elevate your AI journey!

1) Does your AI project align with your organisation's #datastrategy? 2)Do you know the most common challenges preventing your AI project from succeeding? 3) Can you trust your AI output? 4) What do 90% of IT leaders identify as critical requirements for success? 4) Do you know where to start? Next week, I'll be presenting at the Gartner Data & Analytics Summit in Sydney, July 29 - 30, at the International Convention Centre (ICC) "AI from Pilot To Production at Enterprise Scale" Tuesday, July 30 | 2:30 PM | Cockle Bay 2-11392 In this session, you'll: a) Know how to design and implement AI initiative strategies that you can trust to deliver tangible business value. b) Hear about practical use cases c) Learn about AI Assistants that you can leverage without effort to democratise AI in your organisation d) Find out about Applied Machine Learning Prototypes - AMPs - to kick-start your #GenAI project with your data I'll be joined by the Cloudera team. Come and hear from us; visit our booth with free demos, a good chat and the chance for prizes. Join us - July 29 - 30, International Convention Centre (ICC) - Sydney

Great opportunity to deep dive into GenAI applications, current use, and where problems exist for businesses in 2024. What You’ll Learn: With 90% of senior AI leaders investing in Generative AI (GenAI), this technology is now a cornerstone of modern business strategy. An annual survey from Dataiku and Databricks builds on last year's insights and reveals how organizations are evolving their #GenAI usage. From shifting budget priorities to tracking ROI and discovering new use cases, the report provides a comprehensive view of the rapidly changing GenAI landscape. Join Conor Jensen from Dataiku and Oliver Chiu from Databricks to explore how industry leaders are successfully integrating GenAI into their operations. Gain actionable insights into the latest trends, understand the barriers companies face, and uncover practical strategies to overcome them. Benchmark your organization’s progress against other senior AI professionals, and take away the tools and knowledge to optimize your GenAI investments and drive sustained competitive advantage. Key Takeaways: = Understand the impact of GenAI in the enterprise, including spending patterns and dedicated budgets for GenAI initiatives. = Assess ROI from GenAI use cases and uncover barriers to unlocking the full potential of analytics and AI within your organization. = Gain insights into the differing levels of adoption and sentiment towards AI, focusing on new technologies like GenAI and LLMs. = Analyze year-over-year trends in AI adoption and emerging use cases across various business functions. ✅ Register here - https://lnkd.in/eaCjmjVw? #genai #ai #llm