Interview with Roberto Torres of CIO Dive on AI | Bryan Wise posted on the topic | LinkedIn (2024)

Generative AI is top of mind for leaders, but it's also uncharted waters for many organizations. Check out CIO Bryan Wise's conversation with Roberto Torres via CIO Dive ⬇️

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How to Prepare for a GenAI Future You Can’t PredictThis article on the promise and risks of generative AI resonated with us, given our focus on helping executives achieve higher, sustained growth. The author notes that while many leaders are excited by the possibilities of AI and concerned about missing out on the next wave of technology innovation, they need to see past clever product demos and focus on more mundane, pragmatic analysis of the trajectory of technology development, how data are being used, and the practical ways in which they can use emerging tools. More specifically, a strategy to leverage AI to significantly reduce a company’s workforce at this stage appears to be a risky (and in most cases unjustifiable) bet. Read more here:

From leveraging #AI to understanding the dynamics of emerging technologies, preparing for the future requires a blend of adaptability and foresight. Harvard Business Review shares tips for how your team can navigate the Path to the GenAI future here: https://bit.ly/3ZdAvhM #artificialintelligence #thoughtleadership #futureofAI

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Kickstarting your Monday morning with a deep dive into the transformative power of Generative AI 🚀☕️. For those of you sprinting through Monday morning with every second accounted for, here's a brisk summary for you:In the last three years, venture capitalists have funneled over $1.7B into generative AI solutions. This investment has sparked complex applications that outshine what we've seen with models like ChatGPT. Gartner forecasts that by 2025, generative AI techniques will be behind 30% of newly discovered drugs and materials.The challenges of transformation are already palpable in sectors like drug design, material science, and chip design. But, as we embrace the allure of AI's potential, we must also acknowledge the challenges that emerge with it. The initial simplicity of launching AI pilots often masks the intricacies of transitioning them into full-scale production. This path calls for a deep understanding of organizational culture and infrastructure and a thoughtful approach to change management.Furthermore, the growth of AI uncovers a variety of potential problems, including deepfakes, copyright issues, and other malicious uses. This makes it crucial to team up with security and risk management leaders, helping create safeguards that strike a balance between exploiting AI's huge potential and countering the risks it presents.As we kick off the new week, let's ponder this: How do you see generative AI influencing your industry, and how are you preparing for this imminent wave of transformation? Let's start a conversation!#GenerativeAI #AI #FutureofWork #Innovation #ResponsibleAI[full article: https://lnkd.in/gkhKxXFm]

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With the increasing adoption of artificial intelligence (AI) and automation, businesses are already beginning to feel the effects of what is being called “GenAI” – Generalized Enterprise-level Artificial Intelligence. This form of AI is designed to automate processes across an entire enterprise, from sales and marketing to operations and financials. Businesses must prepare for this emerging technology to ensure that they are competitive in the future AI-driven economy: #productmanagement #softwaredevelopment

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From leveraging #AI to understanding the dynamics of emerging technologies, preparing for the future requires a blend of adaptability and foresight. Harvard Business Review shares tips for how your team can navigate the Path to the GenAI future here: https://bit.ly/3RAZ9rd #artificialintelligence #thoughtleadership #futureofAI

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🗣 Executives’ concerns about making bad investments and the pressure to keep up with competitors are at a swell. 👩💻 New technological capabilities are emerging, but many leaders are afraid to prioritize breakthrough innovations, like the case with Generative AI. 🤔 While some companies are embracing it, others are waiting to see how it develops. In the end, fear of failure and uncertainty are the true major roadblocks to innovation.#techleadership #enterprisetech #generativeai

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Get onboard, or get run over...."It's not AI that is going to take your job, but someone who knows how to use AI might, economist says" -Business InsiderFrom this article: 'everyone loves change until they have to do it, process eats culture for lunch'From the book: 'The Humachine': Kasparov’s Law holds that “weak human + machine + better process [is] superior to a strong computer alone and, more remarkably, superior to a strong human + machine + inferior process.’’Excerpts:Summary.As with any aspect of digital transformation, the effective deployment of generative AI will depend less on technological capability than on human adaptability.> Understand where resistance comes from — and give innovation a boost.Change or change will change you. This is the biggest argument for innovation, though at times it runs up against an organization’s reluctance to change. This resistance exists in every organization. But to stay competitive, companies need to be able to push through.> Focusing on the problem helps.Generative AI is very versatile technology. However, this can be a disadvantage, as it is not obviously linked to a specific problem, which may dilute it to the status of a clever solution waiting for a problem to be solved.> As always, less is more.In general, small, incremental improvements over the status quo will represent a better approach to test and deploy technological innovations than a grandiose masterplan at scale. > Intuition is the common enemy.There is no bigger obstacle for deploying generative AI, or any form of data-driven automation, thanhuman intuition. Indeed, the production of human-like activity by autonomous technologies is often seen by people — no matter their role — as a threat to control, power, and autonomy.> Everybody loves change, until they have to do it.Change is a lovely idea, but whether at the individual or collective level, the idea starts to lose much of its appeal once we become aware of the effort, persistence, and struggle needed to execute on it. In fact, what we like is not change,but to have changed.> Process eats culture for lunch.Cultural resistance is often outlined as themain barrierto AI adoption. Although organizational investment on “culture change” interventions continues to grow, deliberate attempts to mold or reshape company culture take a great deal of time and have low success rate.> Be proactive about ethical concerns.As typical media coverage of generative AI is pretty sensationalist, it is common for this subject to evoke moral dilemmas, legal fears, and ethical concerns. Organizations must tackle these at the outset, to position AI as bothethical by designand an improvement over the status quo. Ultimately, culture is always evolving. Progress is not the result of adopting every innovation or new technology, but rather leveraging the right tools to advance one’s strategy and improve the long-term effectiveness of the organization. #genai #process

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🚀 Where to reinvest time and cost savings from GenAI? Top 3 areas according to leaders surveyed for Deloitte's latest State of Generative AI in the Enterprise report:1) Driving innovation opportunities (45%)2) Improving operations across the organization (43%)3) Developing new products and services (29%)The full Q2 report is available here: https://lnkd.in/e8UnHkdk

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The rapid advancement of generative AI is forcing CEOs and other executive leaders to move swiftly to digitally transform their businesses and take chances in the name of innovation — all while doing so in a responsible and secure way. #GenAI

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