
Navigating The AI Landscape: Practical Guidance For Business Leaders
Vimarsh Puneet, Director, Product Management, Enterprise AI, Cisco.
I feel that things are moving faster than ever due to AI, but historically, each technological advancement has similarly triggered rapid and significant shifts. When the cloud era emerged, there was a rush to build websites. Today, websites are integral to our daily information consumption. Likewise, during the rise of smartphones, everyone was focused on app development, and now these apps have become central to everyday tasks and interactions.
Organizations today find themselves at a similar pivotal moment. AI advancements are moving so fast that technology is getting outdated in six months, but at the same time, making previously unimaginable possibilities slowly more attainable. To fully leverage these opportunities, it's important to reconsider and reimagine what could be done. I think we have all the ingredients to do that because the cost of intelligence is rapidly decreasing, driven by three key factors.
The Key Factors
First, we now have architectures, such as large language models (LLMs), capable of processing various input types, including audio, text, video and images, meaning improvements in software and hardware benefit everyone. Second, increasing data and computational resources significantly enhances AI performance, as demonstrated by the advancements from GPT-2 to GPT-4 to O3. Third, providing models with additional computational power and allowing them more time for extended processing can substantially improve their effectiveness.
Reflecting further, we noted AI's imminence: The technology stack, including compute, networks, data distribution and talent, is fully ready, positioning us for rapid adoption. Compared to earlier transitions like the cloud and mobile, AI's growth is accelerating significantly, supported by broad digital awareness, platforms such as YouTube and Reddit and near-universal internet connectivity.
Start With The Basic Principles
My recommendation is to begin with first principles by thoroughly understanding the core job your customer needs to accomplish.
Consider the example of search: The fundamental need has always been to find answers, gain deeper insights or perform comparisons. Historically, Google has dominated as the primary platform for users seeking information. However, user behavior is evolving, with many increasingly turning to innovative AI-powered tools like Perplexity, ChatGPT and Anthropic. My own experience reflects this shift: Previously, when I needed to research and compare electronics or learn about new technologies, my journey started with a Google search, followed by extensive reading through multiple webpages to reach a final decision. Now, I can directly ask an AI agent to provide precise, tailored information to achieve my desired outcome quickly and efficiently.
Clayton Christensen's "Jobs to be Done" framework remains fundamental for every business leader. As leaders, we must regularly revisit and validate the "jobs" our products or services are "hired" to perform.
Another essential perspective for understanding and advancing your business today involves leveraging your data. Yes, data is still king. In early 2024, Reddit signed a $60 million annual deal allowing Google to train its AI models on Reddit's user-generated content. Shortly after, Reddit partnered with OpenAI, granting access to Reddit's data API to enhance AI models like ChatGPT. These partnerships grew Reddit's revenue from $12.3 million to $81.6 million annually.
A notable example in the healthcare industry is Sanofi's partnership with OpenAI and Formation Bio, announced in May 2024. This collaboration aims to accelerate drug development by leveraging AI models trained on Sanofi's proprietary data, marking a significant step toward AI-driven pharmaceutical innovation.
The AI-Driven Future
Finally, I believe we should approach the technological revolution not with fear of job loss but with excitement about the opportunities it creates. Imagine a world where every child has access to personalized, one-on-one tutoring, healthcare issues are diagnosed swiftly and accurately and network problems are resolved more efficiently than ever before. Those who strategically embrace AI's transformative capabilities and remain closely aligned with customer needs will undoubtedly position themselves as leaders in their respective fields. By integrating innovation, customer-centricity and ethical data practices, businesses can unlock sustainable growth and lasting competitive advantages in the AI-driven future.
Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
40 minutes ago
- Yahoo
KBW Backs AXP Amid Bold Platinum Card Overhaul and Fee Growth Potential
American Express Company (NYSE:AXP) ranks among the top stocks for an early retirement portfolio. Keefe, Bruyette & Woods kept its Outperform rating and $360 price target on American Express Company (NYSE:AXP) shares on June 17 following the announcement that the company would be updating its Platinum Cards, claiming it would be its largest card refresh expenditure ever. The firm noted that the announcement follows reports that rival Chase intends to revamp its Sapphire Reserve card this summer. An annual fee rise for the Platinum card may be part of the card refresh, which KBW analysts think would contribute to the growth of card fee income in the upcoming years. The firm also proposed that adjustments might lead to increased card account growth and engagement levels. Although there are competition pressures from Chase's anticipated Sapphire Reserve changes, KBW regarded AXP's the announcement as 'incrementally positive' for the company, adding that competitor card launches have historically had little effect on American Express Company (NYSE:AXP). American Express Company (NYSE:AXP) is a leading bank holding company that provides a comprehensive digital payment network, including credit cards, charge cards, and financing options. While we acknowledge the potential of AXP as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the best short-term AI stock. Read More: and Disclosure: None.
Yahoo
40 minutes ago
- Yahoo
Johnson & Johnson CAR T Therapy Shows 80% Response in Lymphoma Trial
Johnson & Johnson (NYSE:JNJ) ranks among the top stocks for an early retirement portfolio. On June 13, Johnson & Johnson (NYSE:JNJ) announced that patients with relapsed or refractory large B-cell lymphoma (LBCL) showed strong response rates to its investigational dual-targeting CAR T-cell treatment. Pixabay/Public Domain According to results given at the 2025 European Hematology Association Congress, the Phase 1b study of JNJ-90014496, a treatment that targets both CD19 and CD20 proteins on cancer cells, showcased complete response rates of 75-80% among assessed patients at the recommended Phase 2 dose. This addition broadens J&J's pharmaceutical portfolio, which has contributed to the company's annual revenue in excess of $89 billion. Moreover, the suggested Phase 2 dose group showed no signs of Grade 3 or 4 cytokine release syndrome, indicating a favorable safety profile. Johnson & Johnson (NYSE:JNJ) is a notable name in the healthcare industry, which includes sub-sectors like pharmaceuticals, medical equipment, and consumer health products. The company is known for creating medications to treat a variety of conditions and diseases, including cancer, diabetes, and HIV/AIDS. While we acknowledge the potential of JNJ as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the best short-term AI stock. Read More: and Disclosure: None.
Yahoo
40 minutes ago
- Yahoo
Creative Commons debuts CC signals, a framework for an open AI ecosystem
Nonprofit Creative Commons, which spearheaded the licensing movement that allows creators to share their works while retaining copyright, is now preparing for the AI era. On Wednesday, the organization announced the launch of a new project, CC signals, which will allow dataset holders to detail how their content can or cannot be reused by machines, as in the case of training AI models. The idea is meant to create a balance between the open nature of the internet and the demand for ever more data to fuel AI. As Creative Commons explains in a blog post, the continued data extraction underway could erode openness on the internet and could see entities walling off their sites or guarding them with paywalls, instead of sharing access to their data. The CC signals project, on the other hand, aims to provide a legal and technical solution that would provide a framework for dataset sharing meant to be used between those who control the data and those who use it to train AI. Demand is increasing for such a tool, as companies grapple with changing their policies and terms of service to either limit AI training on their data or explain to what extent they'll use users' data for purposes related to AI. For instance, X initially made a change that allowed third parties to train their models on its public data, then later reversed that. Reddit is using its file, which is meant to tell automated web crawlers whether they can access its site, to restrict bots from scraping its data for training AI. Cloudflare is looking toward a solution that would charge AI bots for scraping, as well as tools for confusing them. And open source developers have also built tools to slow down and waste the resources of AI crawlers that didn't respect their 'no crawl' directives. The CC signals project instead proposes a different solution: a set of tools that offers a range of legal enforceability, but all of which have an ethical weight to them, similar to the CC licenses that today cover billions of openly licensed creative works online. 'CC signals are designed to sustain the commons in the age of AI,' said Anna Tumadóttir, Creative Commons CEO, in an announcement. 'Just as the CC licenses helped build the open web, we believe CC signals will help shape an open AI ecosystem grounded in reciprocity.' The project is only now beginning to take shape. Early designs have been published on the CC website and GitHub page. The organization is actively seeking public feedback ahead of its plans for an alpha launch (early test) in November 2025. It will also host a series of town halls for feedback and questions. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data