The Centre for India and Global Business’ Post

This week I attended an incredible conference at Harvard Business School on "Leading with AI". Knode.ai even got an unexpected shout out on the main stage! Posting key takeaways here: 1. There's a massive gap to bridge between generative AI's capabilities and their impact on businesses. Examples of AI producing tangible bottom or top line results at the event were virtually non-existent (apart from AI-industry-focused companies). 2. In terms many standard measures of raw "intelligence", LLMs already surpass most humans (thanks Ethan Mollick for an incredible presentation making this clear with well-reasoned data). 3. Many business leaders, as of now, equate AI with ChatGPT because it's the only thing they've played around with. This will likely change in the next 12 months as startups race to make it easier to obtain business value from LLMs. Folks often deride "LLM wrappers", but most modern software is some form of "database wrapper". Ease of use will be what wins. 4. There is a massive education gap surrounding terms like LLMs, RAG, and fine-tuning in the business community. Startups that help address that have a leg up because everyone is curious how this technology works. 5. I left feeling like Knode.ai's near-term TAM/SAM is 3-5x what I'd previously thought. We have a lot to build :) Thanks again for an amazing time Harvard Business School and Digital Data Design (D^3) Institute at Harvard. Also to Sham Kakade for the unexpected shout out :). #generatieveai #hbs #ai #venturecapital #aiatwork #startups

🤔 Ever wondered why companies in Silicon Valley are years ahead and able to embrace change with ease? The answer lies in #ForesightThinking and #FuturesLiteracy. 🔮 These concepts aren't just buzzwords; they're essential tools for businesses aiming to thrive in the fast-paced world of tomorrow. 💥 In collaboration with IHK Region Stuttgart, our latest blog is now live and teaches you the secrets behind Silicon Valleys unique innovation prowess. #SiliconValleyEffect Check out the inspiring article and... 🔍 Learn how to embrace Silicon Valley futures literacy to identify opportunities early and mitigate risks effectively 📚 Get insider tips on integrating futures literacy within your organization 🌎 Understand the pivotal role Silicon Valley plays in shaping the future, especially in AI development 💡 Discover how foresight thinking can help build AI competence and integrate AI solutions into your company's strategy 📖 Unlock the secrets of future-proofing your business - read our blog today! 👉 https://lnkd.in/gCNbb2pM #BlogPost #FutureProofYourBusiness #ForesightThinking #SiliconValleyInnovation

What Do You Expect from AI, Now? First and foremost, both AI and GenAI are finally making their mark in the enterprise space — driving data transformation, performing business innovation, and pushing organizations toward an AI-first approach. Sure, the revenue-to-investment ratio might not be fully matured yet, but anyone who has experienced the thrill of driving on Germany’s Autobahns knows that building a scalable infrastructure takes time and patience before you truly start reaping the benefits. The ai:NOW event by CXO Portals in Munich set the perfect stage to showcase just how powerful GenAI adoption has become. We saw a diverse range of industries — from giants like Bosch to innovative life sciences startups — demonstrating that AI is no longer just a talking point on leadership agendas. The real questions now are different: “How deeply transformative shall it be at my company? What partnerships are absolutely essential? Who can you trust in the cloud and vendor space?” 3 Key Provocations: 1. AI Entering the Supercycle   AI is now at a stage where it's accelerating its own development. It is outperforming humans in critical tasks and making human reinforcement increasingly obsolete. While LLMs might seem to be hitting a plateau, we're discovering the potential of hybrid AI solutions to tackle real-world problems with unmatched efficiency. 2. Energy might be coming from the blockchain of Data Centers   Imagine small data centers hidden underground in hotels or farms, delivering high-performance computation while using waste heat to warm guest rooms or even grow tomatoes in Nordic climates. How cool is that? It might be Europe’s innovative answer to massive data centers elsewhere, utilizing crowd-sourced energy managed by intelligent grids — a true game-changer in sustainable tech. 3. AI-First Mindset: The New Differentiator   Whether you're an enterprise or a startup, being AI-first is what sets you apart today. The transformative power of GenAI, even with its limitations, is beyond the usual horizon. No data? AI will generate synthetic data. Uncertain about your past wins and losses? AI will extract those insights for you. Need to predict the unimaginable? There's a solution ready for that. It’s not about enriching existing business with AI solutions – rather to re-invent your business with AI-first vision. Huge kudos to all the speakers and a special thanks to the organizers for creating such a fantastic event — great venue, incredible atmosphere, and plenty of engaging conversations. Already looking forward to the next one! Glenn H. Veaceslav Driglov, MBA Waqaas Rehman InstaDeep Amagoia Apaolaza Elena Zerner-Kaening Hitesh Patel Mariam Yakub Manuel Fischer Rosanne Werner Johannes Forster Deepdub GEN8 #AI #GenAI #Innovation #BusinessGrowth #aiNOW #DataTransformation

🚀 Accelerating Innovation with Generative AI! 🚀 Thrilled to share insights on how companies fostering innovation cultures lead in deploying and harnessing the power of generative AI. As businesses increasingly understand the need to translate discussions into actionable strategies, it's enlightening to delve into discussions with Laura LaBerge and Matt Banholzer of McKinsey, emphasizing the pivotal role of innovation in fueling growth. I also recommend revisiting the initial article from last year for deeper insights. What distinguishes leading companies, is their ability to ask the right questions, discerning valuable insights, and consistently enriching and harmonizing their proprietary data. Their agility and adaptability, coupled with leveraging GenAI to streamline workflows and amplify productivity, underscore their focus on core business objectives. It's promising to note that the leaders stand out in 'developing, testing, and deploying'— precisely where Teradata's ClearScape platform shines. With its ability to expedite data preparation, facilitate in-database model development, offer robust deployment framework, and deliver unparalleled performance, ClearScape empowers organizations for success in today's rapidly evolving landscape. I'm eager to hear your thoughts on how the integration of generative AI and platforms like ClearScape can catalyze innovation within your organization! Let's continue this conversation. 💡 #Innovation #GenerativeAI #DigitalTransformation #Teradata #ClearScape

About 10 years' change in AI landscape.. FirstMark Capital's recently released annual AI/ML/Data landscape shows we are in a transformative era of AI. With only about 139 AI companies in 2012, the 2024 edition now showcases over 2,011 prominent brands, not counting many small startups. This exponential growth is a testament to AI's impact, potential, and widening applications across industries. Yet, while the landscape has expanded, the AI industry faces significant challenges. Statistics reveal that approximately 85% of AI projects fail. This underscores a critical demand for skilled data scientists and consultants who can bridge the gap between innovative AI concepts and their real-world applications. View the HD version of the MAD (ML/AI/Data) landscape for 2024 here: https://lnkd.in/geFypmsx The pace of change over the past decade has been staggering. Can you envision what the AI landscape will look like in 2034? ✔️Follow us for more Data Science and AI strategy insights Premier Strategy Consulting #AI #DataScience #MachineLearning #TechTrends #Innovation #StrategyConsulting img alex wang

My today's contribution to #HorasisInsights: #AI is Upending Traditional Business Models 📢A topic to be discussed at the upcoming #Horasis Asia Meeting that is being held in UAE, between 18-19 November 2024. This year’s meeting focuses on Dubai as Asia’s new economic hub, connecting Asia to the Middle East, Europe, and African regions. ✅ Artificial intelligence (AI) is rapidly transforming industries worldwide, upending traditional business models and forcing organizations to rethink how they operate. In Q4 2023, a little over one-third of S&P 500 companies mentioned AI in their earnings calls. The enthusiasm towards AI is not only from tech companies, but also non-tech companies. ✅ The rise of AI bots on corporate boards has become a significant trend, with companies increasingly integrating advanced AI into their decision-making processes. This shift aims to leverage AI’s data-processing capabilities to improve efficiency and strategic outcomes in boardrooms. ✅ “Within every area of management there is related data. AI can help make decisions based on that data to help human managers decide what action to take to fulfill their goal,” as quoted by a chief data scientist at Appier, a Taiwan-based technology company. ✅ This technological wave is not just enhancing productivity but creating entirely new processes and opportunities for innovation. Tech giant Meta has launched an AI accelerator program for the APAC region to support promising startups, helping them build AI applications using its open-source AI model, Llama. ✅ For Asia – a region home to some of the world’s fastest-growing economies – AI holds particular promise. The continent is not only a hub for tech development but also a region where AI’s potential for growth is profound. AI and GenAI investments in the region are projected to reach US$110 billion by 2028, growing at a CAGR of 24% from 2023 to 2028. ✅ As businesses across Asia seek sustainable, long-term growth, AI can be the catalyst that drives the next phase of economic evolution. But alongside the potential for innovation, Asia must also navigate the complex challenge of developing AI ethically and responsibly. ✅ The future of AI in Asia is bright, but it will require a careful balancing act between fostering innovation and upholding ethical standards to ensure that AI’s benefits are shared broadly and equitably. As AI continues to reshape industries, it is crucial for businesses, governments, and society to work together to harness its power responsibly. Adel Alfalasi Girish Bhagat Jasper Cao Zhongtao (Michael) Li Marcello Mari Tevfik Kaan Soyak Mikhail Treyvish Vincent Zheng Srikar Reddy, Read the full story: https://lnkd.in/eqGrZffV https://lnkd.in/eqGrZffV

Businesses that are investing in an AI-driven future are finding scalability to be a key competitive edge. However, the true potential of scaling with AI lies in the human factor. 🤝 There's arguably never been a better moment for companies to expand their operations by leveraging the synergy between AI and human ingenuity. 💡 From Niamh Bohan's Scaling with AI keynote at the Growth Summit, featured at The AI Journal by Hannah Algar: “These [big technological revolutions] caused massive shifts in the economy, society, ideologies, laws, and institutions. They caused entire industries to have to unlearn and learn again. They caused massive tensions between the old business models and the new business models. And they caused tensions between the people who have the new skills and the people who didn’t… AI is a technical innovation, but it’s not confined to technology. It’s going to affect all sectors and all business units.” 📖 Read more about it here: https://lnkd.in/g6ms9ZRR #AI #Scalability #Growth #Tech #Software #FutureOfTech #Zartis #GrowthSummit

The #honeymoon phase of #generativeAI is over and even if most organizations are still learning and exploring it's time to also think about how to make first #pilots #scalable and #sustainable. This is what's normally a different story and #CIO very well know that as this is not just a challenge for #AI technology services. This is also confirmed in this insightful report from McKinsey & Company that explains why just #11% companies have adopted #genAI at scale so far and present the 7 things to consider. Below a recap of them, what do you think ? 👉 Be honest about what pilots have worked directing efforts toward solving important business problems 👉 It’s about how the pieces fit securely together, not the pieces themselves 👉 Models account for only about #15% of the overall cost of gen AI applications so for #ROI, apply the right process, tools and capabilities 👉 like for other technologies, possible proliferation of infrastructures, LLMs, and tools make scaled rollouts unfeasible so standard capabilities to flexibly adapt remain key 👉 To scale you need to collaborate cross-functionaly and contaminate competeces so get all your key stakeholders, including #DPO and #privacy involved 👉 Go for the right data, not the perfect data or in other words #progressvsperfection 👉 Reusable code can increase the development speed of generative AI use cases by #30-#50%

🚀 Exciting news! 🚀 As the Director of Innovation, I'm always on the lookout for groundbreaking technologies that can drive transformation and create new opportunities. Today, I want to talk about the incredible potential of Generative AI. Generative AI is revolutionizing the way we innovate and solve complex problems. It's a game-changer that empowers us to create, design, and even think in ways we never thought possible. And the best part? It's already here, and it's ready to unleash its full potential. I recently came across an insightful article from McKinsey that dives deep into the power of Generative AI. It highlights how this technology is driving innovation across industries, from healthcare to finance and beyond. It's a must-read for anyone looking to stay ahead of the curve. But let's not stop there. I also stumbled upon a thought-provoking piece from Harvard Business Review that raises an important question: Is your company's data ready for Generative AI? It emphasizes the need for high-quality, clean data to fully leverage the capabilities of this technology. It's a wake-up call for organizations to prioritize data readiness. And speaking of data, MIT Sloan Review sheds light on the data problem that is stalling AI progress. It's a reminder that while Generative AI holds immense potential, we need to address the challenges associated with data quality and availability to unlock its true value. But here's the exciting part: OpenAI's no-code approach to custom GPTs might just be the answer we've been waiting for. IT Pro explores how this approach could democratize AI innovation and open up new possibilities for businesses. It's a fascinating concept that could revolutionize the way we interact with AI. And last but not least, I came across an intriguing AI framework called RA-ISF. Developed to enhance retrieval augmentation effects and improve performance in open-domain question answering, this framework has the potential to take Generative AI to new heights. MarkTech Post provides an in-depth look at this cutting-edge technology. So, my fellow innovators, let's embrace the power of Generative AI and explore the endless possibilities it offers. Let's ensure our data is ready, address the challenges, and leverage the no-code approach to democratize AI innovation. Together, we can shape a future where AI becomes a catalyst for unprecedented growth and transformation. #Innovation #AI #GenerativeAI #DataReadiness #FutureReady

**Is the Price Hike for Claude 3.5 Haiku Worth It for Your Business?** 🤔 Anthropic has just unveiled its latest AI model, the Claude 3.5 Haiku, but it's not without some controversy! While it competes with and even outperforms its predecessor, Claude 3 Opus, on various benchmarks, this new iteration comes at a higher cost and currently lacks image analysis capabilities. As businesses weigh the benefits against the price increase, many are left wondering: Is premium AI truly worth it when you're missing key functionalities? The release of Claude 3.5 Haiku aligns with Anthropic's commitment to advancing artificial intelligence while also posing questions about accessibility and practicality in an ever-evolving tech landscape. In addition to examining performance metrics, organizations should consider how integrating this model could drive innovation within their operations. Could this be a game changer for your startup or established business? Don’t miss out on driving corporate innovation—connect with startups and embrace transformative ideas! 🚀 Get ready to ask yourself: Which features do you prioritize in your AI investments? Join the conversation below! 👇 #AI #ArtificialIntelligence #TechInnovation #StartupEcosystem #BusinessGrowth #Claude35Haiku #PricingStrategy #CorporateInnovation #MachineLearning #DeepLearning For more details read here: https://lnkd.in/dKGAF_YG Connect with startups to drive your corporate innovation 🚀 Book a meeting! https://lnkd.in/dFYwmbHq