DeepSeek AI Business Insights

As generative AI evolves, the reality of its application in businesses is coming into sharper focus, prompting organizations to exercise caution and exploration. The rapid ascent of generative AI has captured the tech world's imagination, promising transformative changes across various sectors. However, the journey from pilot projects to full-scale deployment reveals a complex landscape of expectations versus actual gains. This discussion delves into how businesses are navigating the integration of generative AI, balancing the potential benefits with the practical challenges of ensuring effective and ethical use. 🤖 Generative AI Evolution: Transition from single-use machine learning models to versatile AI platforms that require careful validation. 🔍 Real-world Testing: Emphasis on piloting AI technologies to confirm their relevance and efficiency before widespread deployment. 📊 Measured Rollouts: Companies are taking a cautious approach, with many still in the piloting phase and a minority advancing to full deployment. This careful strategy ensures the responsible and effective implementation of generative AI. 🔄 Productivity Insights: Reports of significant time savings and efficiency improvements, with varied results across different roles and departments. 🚀 Future Potential: Despite current limitations, there is an enduring optimism about the role of generative AI in driving future business innovation and productivity. This technology holds immense promise for the future of businesses. #GenerativeAI #AIIntegration #PilotProjects #DeploymentChallenges #BusinessInnovation #TechEvolution #ProductivityGains #EthicalAI #AIInsights #FutureOfAI

How are enterprises adopting and consuming AI? Here is a framework to understand the consumption of AI in the enterprise. At the foundational level, Co-Pilots and Chatbots are the initial AI interactions and workflows, serving as frontline AI applications that enhance productivity and customer engagement. These are AI co-pilot and chatbot products from usual suspects: Anthropic, Microsoft, Google and others. Next up, Enterprise Applications, from in-house solutions to SaaS and Collaboration Platforms, now have embedded AI capabilities to drive smarter workflows, analytics, notifications and decision-making processes. These are traditional enterprise applications and SaaS players ranging from Atlassian, Salesforce, to Workday, and their peers. For organizations seeking a more tranformative approach, building a Custom AI Stack is becoming increasingly prevalent. This includes Commercial and Open Source LLMs (Large Language Models), which are providing unparalleled customization in AI applications. Data Pipelines and RAG (Retrieval-Augmented Generation) systems are vital for managing the vast inflow of data, while Hyperscaler Stacks ensure scalability and robust infrastructure. There is a ton of players in this space as opportunities abound, ranging from OpenAI to Mistral AI, and hyperscalers like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud. Each layer of this model represents a step towards AI maturity, from basic automation to strategic AI-driven innovation. It's a pathway that businesses are navigating with keen investment, reshaping industry paradigms and redefining what's possible. What are your thoughts on enterprise AI adoption? #GenAI #AIAdoption #EnterpriseTechnology #ArtificialIntelligence #BusinessStrategy #Innovation

Companies waste millions on AI products that turn out to be vaporware. I have been simmering and seasoning this AI product evaluation framework for 12 years. My clients need innovative AI tools that deliver competitive advantages, so it’s not feasible to reject startups altogether. Here are my assessment points. ✅ The startup knows something about the market or your needs that no one else does. They discuss your problems and desired outcomes like they’ve worked at your company. ✅ They explain how early design partners and limited releases led to improvements and new features. They share early outcomes from both, and the result metrics align with your strategic goals. ✅ The solution makes sense, and demos are focused on functionality, not just technology. They are transparent about the product or platform’s weaknesses and gaps and have plans to address them. ✅ They ask questions during the demo to better understand your needs and showcase the most relevant functionality based on your answers. ✅ They have built competitive advantages with data, and the platform or product delivers functionality that competitors can’t. ✅ They have a platform or product roadmap and admit it isn’t set in stone. However, they can provide a clear vision for the product or platform. ✅ The company has a low burn rate, path to profitability, or strong financials that indicate it will be around for several years. ✅ Their service level agreements, data management practices, contract/pricing structures, etc., are mature and built for enterprises vs. consumers. ✅ They have an implementation/integration roadmap and provide initial support or onboarding. The company doesn’t just drop and run or rely 100% on chatbot support. My book and articles provide more frameworks to help businesses navigate the emerging AI tools landscape. Follow me here or use the link under my name to access my library. #GenerativeAI #AIStrategy

I wrote about how I leveraged Vibe Data Analysis to decode the AI Talent Wars and how I could get into the wave. https://lnkd.in/gNDhbR84 I next did a similar exercise to the AI PM career path where I am in and what I could do to become a sought after Super AI PM. The burning question: "If I want to be a standout AI PM candidate positioned for the highest-paying roles, what should I actually DO—and how much can I realistically expect to earn?" You can see the report and findings here: https://lnkd.in/gayBhgRg And an interactive Data Intelligence dashboard here: https://lnkd.in/g-QhDzeG The Vibe Data Analysis performed with factual fact checked source data revealed some interesting insights: - At the time of writing there are about 12,000 open roles in the US - Insight #1: "GenAI Product Managers with production LLM deployment experience will command $600K+ by 2026 as enterprises move beyond pilots to scaled implementations." - Insight #2: "AI Safety Product Managers will become the highest-paid PM specialty at $750K+ as regulatory compliance becomes mandatory for AI product releases." - Insight #3: "Multimodal AI PMs (vision + language + audio) will see 400% salary growth as products become more sophisticated and integrated." Interestingly, even though Evals is hot, there was no indication that Evals AI PM is viable in the horizon. Additional value added insights from Vibe Data Analysis: - Conversational Intelligence: "Show me what an AI PM with 3 years experience in San Francisco can expect to earn" - Intent-Driven Exploration: Users could ask "Which AI PM specialization offers the best ROI?" and get immediate, contextual answers - Dynamic Adaptation: The dashboard adapted to user queries like "Compare my current salary to AI PM market rates" - Insight-First Design: Instead of raw data, we provided narratives like "AI Safety PMs command 2.1x premium due to regulatory complexity" The "Vibe" I Captured: Rather than forcing users to become data analysts to understand the AI PM market, we created a system where they could explore market intelligence through natural intent: - "What's my salary potential if I transition to AI PM?" → Instant calculator with projections - "Which skills should I learn first for maximum impact?" → ROI-ranked skill analysis - "Is it worth moving to San Francisco for an AI PM role?" → Geographic cost-benefit analysis - "How long will it take me to reach $500K compensation?" → Career trajectory modeling Hope this adds value to all my AI PM peers and my AI PM teachers - Polly M Allen | Marily Nika, Ph.D | Miqdad Jaffer | Vikash Rungta | MAHESH YADAV | Jyothi Nookula | Madhumita Mantri

Businesses are preparing to move beyond the initial experimentation phase of #GenAI and into an era of enterprise-wide transformation. We took the pulse of c-suite execs and business leaders to get a sense of their GenAI investment priorities, how they're measuring ROI and overall readiness. From what we've seen internally at KPMG US and with our clients, workforce readiness can significantly impact GenAI's success. The KPMG US AI and Digital Innovation quarterly pulse survey highlights that 97% of leaders plan to invest in GenAI in the next 12 months, with a significant percentage investing between $100-499 million. Their top investment priorities include improving customer experience, workforce training and capability building, purchasing GenAI technology and solutions, and building responsible GenAI and governance programs. CEOs are playing a crucial role in driving AI readiness, with 34% of leaders citing CEOs as currently leading GenAI strategies. We also learned that 45% of leaders surveyed have already hired or are planning to hire new leadership to oversee AI investment and strategy in the next year. Regardless of where those responsibilities sit within the organization, all leaders must make #trust a top strategic priority to ensure successful adoption and long-term business value. Swipe below and continue reading for more #insights from the survey. https://lnkd.in/g7KHFZe8 #KPMGTrustedAI #KPMGInsights #AI #DigitalInnovation #GenerativeAI

#AI in Business: Simple Steps for Big Impact Integrating AI is essential for businesses of any size. But the real question is, how can we blend AI with human insight to not just survive, but thrive? >> Key Points: AI offers efficiency and innovation but challenges us with ethical questions and workforce evolution. >>> Leadership Actions: 1. 𝐄𝐭𝐡𝐢𝐜𝐬 𝐅𝐢𝐫𝐬𝐭: • How to: Establish a committee to define and monitor AI ethics. Encourage open dialogue about AI's impact and integrate feedback into policy updates. 2. 𝐄𝐦𝐩𝐨𝐰𝐞𝐫 𝐏𝐞𝐨𝐩𝐥𝐞: • How to: Develop a continuous learning culture. Offer workshops and training sessions in AI and related fields. Encourage cross-functional teams to foster diverse AI applications. 3. 𝐁𝐫𝐢𝐝𝐠𝐞 𝐆𝐚𝐩𝐬: • How to: Audit your technology access across the organization. Partner with community organizations to extend learning and resources beyond your company. >> 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧 𝐢𝐬 𝐊𝐞𝐲 Success in AI isn't a solo journey. Collaborate across sectors to leverage diverse insights and drive innovation. Step into a future where technology and humanity merge for the greater good. L𝐞𝐭'𝐬 𝐜𝐨𝐧𝐧𝐞𝐜𝐭, 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐞, 𝐚𝐧𝐝 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦 𝐜𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬 𝐢𝐧𝐭𝐨 𝐚𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬. Together, let's harness AI for everyone's benefit. #Leadership #AITransformation #FutureReady ——————————————————— ★ Redefining tomorrow, today with AI ★ 👋 I'm Mariana Saddakni, specializing in #AI agility for business growth. I focus on integrating AI to enhance operational efficiency, ensuring your business and teams keep pace with tech evolution.

Is #AI a "Gray Rhino" or a “Black Swan?” That's the question at the heart of Kelly Monahan, Ph.D.’s latest article for Fortune. Kelly’s research-backed insights help leaders understand how AI is interacting with other forces to create a “Gray Rhino effect, an obvious yet underestimated risk.” She explores how AI is changing the longstanding social contract of the employer-worker relationship, and as a result, what it means to be a strong leader. 💡 Insights that stuck with me: 🦏Gray Rhino Effect: Kelly’s research and conversations with experts leads to the conclusion that AI isn’t a singular "Gray Rhino," but a herd of Gray Rhinos. This means that AI, coupled with other developments, is what’s making future disruption unavoidable. Unlike unpredictable "Black Swan" events, Gray Rhino events are deemed highly probable. But, with positive leadership action and change, we can start to prepare for the inevitable so that these events become less of a surprise. 🤖AI Is Here to Stay: The AI market is predicted to experience substantial growth, reaching $407 billion by 2027, with an expected annual growth rate of 37.3% between 2023-30. This incredible growth is attributed to the convergence of generative AI and automation. 💼 Impact on the Future of Work: We will continue to be impacted by the adoption of AI-powered digital collaboration tools in distributed team models. Businesses need to be prepared for the influence of Gen Z with digital-savvy expectations on workplace dynamics, and the role of AI in accelerating business execution through automation, data analysis, and real-time insights. So how do we stay ahead of the “herd”? Read more: https://lnkd.in/gn9e5WY2 #AI #FutureOfWork Upwork

Organizational restructuring driven by AI implementation is happening faster than most professionals are prepared to handle, creating both displacement risks and advancement opportunities. The key differentiator isn't technical AI expertise - it's strategic positioning around uniquely human capabilities that complement rather than compete with artificial intelligence. Roles emphasizing relationship management, complex judgment, and trust-building remain inherently human-centered and difficult to automate. Training and change management capabilities become increasingly valuable as organizations need professionals who can help teams adapt to new AI-enhanced workflows. Cross-functional communication skills that bridge technical and business domains create essential value as AI implementation requires coordination across diverse organizational functions. Strategic thinking and creative problem-solving represent human cognitive advantages that enhance rather than replace AI analytical capabilities. The professionals thriving during AI transformation aren't those avoiding the technology, but those learning to leverage it as a productivity multiplier while focusing their human capabilities on higher-value activities. Future career security lies in becoming irreplaceable through uniquely human skills rather than trying to outperform machines at tasks they're designed to optimize. How are you preparing for AI integration within your industry and role? Sign up to my newsletter for more corporate insights and truths here: https://vist.ly/3yhre #deepalivyas #eliterecruiter #recruiter #recruitment #jobsearch #corporate #artificialintelligence #futureofwork #careerstrategist

Most companies are spending millions on AI tools but missing the one investment that actually drives returns: leadership. 𝗡𝗲𝘄 𝗜𝗕𝗠 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗿𝗲𝘃𝗲𝗮𝗹𝘀 𝗮 𝘀𝘁𝘂𝗻𝗻𝗶𝗻𝗴 𝗴𝗮𝗽: Only 26% of companies have a Chief AI Officer, yet those that do see 10% higher ROI and 24% better innovation performance. Meanwhile, 60% of organizations are running AI pilots that never scale. 𝗛𝗲𝗿𝗲'𝘀 𝘄𝗵𝗮𝘁'𝘀 𝗵𝗮𝗽𝗽𝗲𝗻𝗶𝗻𝗴: • AI spend is growing 31% year-over-year • Companies are juggling 11+ AI models (rising to 16+ by 2026) • But without centralized leadership, these investments fragment into low-impact experiments 𝗧𝗵𝗲 𝗖𝗔𝗜𝗢 𝗶𝘀𝗻'𝘁 𝗷𝘂𝘀𝘁 𝗮𝗻𝗼𝘁𝗵𝗲𝗿 𝘁𝗲𝗰𝗵 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲. They're the architect who: → Owns enterprise AI strategy (not just tools) → Translates business objectives into technical execution → Aligns the C-suite on governance and ethics → Orchestrates talent, data, and infrastructure at scale 𝗜𝗕𝗠'𝘀 𝗱𝗮𝘁𝗮 𝗽𝗿𝗼𝘃𝗲𝘀 𝗶𝘁 𝘄𝗼𝗿𝗸𝘀: Organizations with centralized AI operating models see 36% higher ROI than decentralized approaches. 𝗜𝗳 𝘆𝗼𝘂'𝗿𝗲 𝗶𝗻 𝗹𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽, 𝗮𝘀𝗸 𝘆𝗼𝘂𝗿𝘀𝗲𝗹𝗳: • Who formally owns AI ROI in your organization? • Are you building AI fluency for strategic conversations? • Do you have the governance structure to scale beyond pilots? AI won't transform your business because you bought the tools. It transforms because you have the right leader building the architecture to scale. 𝗬𝗼𝘂𝗿 𝗺𝗼𝘃𝗲: 1. Map your current AI decision-making structure 2. Stop the pilot paralysis—move toward centralized governance 3. Invest in cross-functional AI leadership development The full IBM report breaks down exactly how top-performing companies are structuring for AI success. 𝗙𝗼𝘂𝗻𝗱 𝘁𝗵𝗶𝘀 𝘃𝗮𝗹𝘂𝗮𝗯𝗹𝗲? 𝗚𝗶𝘃𝗲 𝗶𝘁 𝗮 ♻️ 𝗮𝗻𝗱 𝗳𝗼𝗹𝗹𝗼𝘄 𝗺𝗲 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗰 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝘁𝗵𝗮𝘁 𝗺𝗮𝘁𝘁𝗲𝗿. Want the deep dive? 𝗦𝘂𝗯𝘀𝗰𝗿𝗶𝗯𝗲 𝘁𝗼 𝗺𝘆 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿 where I unpack the leadership moves that actually drive business results.

Integrating Gen AI in the B2B sector is not just an option but a necessity for staying competitive. The advancements in AI technologies are reshaping industries, driving efficiencies, and unlocking new opportunities for innovation and growth. Here's how businesses can leverage Gen AI to transform their operations and strategies: 1. 𝐄𝐦𝐛𝐫𝐚𝐜𝐢𝐧𝐠 𝐀𝐈 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 Thanks to advanced APIs and integration tools, Integrating Gen AI into existing systems has become more seamless than ever. Companies that effectively merge Gen AI with their current infrastructures can enhance operational efficiency and customer experience, setting a new standard in their industry. 2. 𝐓𝐡𝐞 𝐈𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐜𝐞 𝐨𝐟 𝐒𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐚𝐧𝐝 𝐅𝐥𝐞𝐱𝐢𝐛𝐥𝐞 𝐆𝐞𝐧 𝐀𝐈 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 The dynamic nature of today’s business environment requires AI solutions that are not only scalable but also flexible. Businesses need to deploy AI systems that can grow with their evolving needs and adapt to changing market demands, ensuring long-term sustainability and success. 3. 𝐎𝐯𝐞𝐫𝐜𝐨𝐦𝐢𝐧𝐠 𝐭𝐡𝐞 𝐀𝐈 𝐒𝐤𝐢𝐥𝐥 𝐆𝐚𝐩 A significant challenge that persists in 2023 is the AI skill gap. As Gen AI becomes increasingly central to business operations, the demand for skilled professionals outstrips supply. Companies are encouraged to invest in training and development programs to upskill their workforce, ensuring they have the in-house expertise to harness the full potential of AI technologies. 4. 𝐓𝐚𝐜𝐤𝐥𝐢𝐧𝐠 𝐇𝐢𝐠𝐡 𝐈𝐧𝐢𝐭𝐢𝐚𝐥 𝐈𝐧𝐯𝐞𝐬𝐭𝐦𝐞𝐧𝐭𝐬 The initial cost of implementing Gen AI can be daunting for many businesses. However, the long-term benefits — increased efficiency, reduced operational costs, and enhanced customer satisfaction — far outweigh the initial investment. Strategic partnerships and government incentives can also help mitigate these costs, making Gen AI more accessible to a wider range of businesses. 5. 𝐀𝐝𝐝𝐫𝐞𝐬𝐬𝐢𝐧𝐠 𝐀𝐈 𝐄𝐭𝐡𝐢𝐜𝐬 𝐚𝐧𝐝 𝐁𝐢𝐚𝐬 As Gen AI takes on more decision-making roles, ensuring these systems are unbiased and ethically aligned with societal values is crucial. Companies need to implement robust frameworks for AI governance, ensuring transparency, accountability, and fairness in AI-driven decisions. The potential of Gen AI implementations and applications. From AI-driven analytics platforms providing actionable insights to AI-powered chatbots enhancing B2B engagement, the opportunities for leveraging AI are boundless. Gen AI's role in supply chain optimization and predictive maintenance can significantly reduce costs and improve operational efficiencies. The businesses that recognize Gen AI potential, address the associated challenges head-on and fully embrace AI will be the ones leading their industries into the future. #ai #b2b #artificialintelligence #GenAI