AI Connect’s Post

Generative AI is rapidly reshaping enterprise software dynamics, with spending projected to reach $175 billion to $250 billion by 2027. This surge in adoption, particularly among businesses, signifies a major shift in user segments, value pools, and competitive landscapes, with the potential for increased vendor switching and internal development.  https://lnkd.in/dHDCc-zk #GenAI #AI #EnterpriseSoftware #SoftwareDevelopment 

With the industry poised to invest significantly in generative AI by 2027, companies must prepare to harness this transformative technology with a sense of urgency. To stay ahead, businesses should develop and socialize a comprehensive AI strategy, embedding an "AI-First" mindset within product organizations. This involves empowering business leaders and product managers to rethink their entire product portfolio through the lens of AI capabilities. Establishing business goals aligned with this AI vision is critical. Moreover, investing in AI technologies and data readiness—from governance to quality practices—is essential. Training engineers to integrate AI into software development will be pivotal in achieving superior efficiency and maintaining a competitive edge. As AI-driven tools drastically improve development speed and capabilities, prioritizing these investments will be crucial for companies aiming to survive & thrive in an AI-centric future. #GenerativeAI

Explore how enterprises can strategically adopt AI to gain competitive advantages in 2024, focusing on workflow capture, performance, and macro forces.

Generative AI is poised to significantly boost growth in the technology sector. However, its crucial to recognize the new challenges that accompany this advancement. Shifts in value pools, changes in user segments, and evolving competitive dynamics may lead to a realignment of product categories. Are you prepared for these changes? Read more from McKinsey on how to strategically navigate this disruption in software development and stay ahead of the curve. #businesssoftware #businesstechnology

🔔My Forbes article on how AI can breathe new life into outdated legacy systems, unlocking efficiency and innovation, is LIVE! "𝑶𝒖𝒓 𝒍𝒆𝒈𝒂𝒄𝒚 𝒔𝒚𝒔𝒕𝒆𝒎𝒔 𝒉𝒂𝒗𝒆 𝒔𝒆𝒓𝒗𝒆𝒅 𝒖𝒔 𝒘𝒆𝒍𝒍, 𝒃𝒖𝒕 𝒕𝒉𝒆𝒚'𝒓𝒆 𝒉𝒐𝒍𝒅𝒊𝒏𝒈 𝒖𝒔 𝒃𝒂𝒄𝒌 𝒇𝒓𝒐𝒎 𝒔𝒄𝒂𝒍𝒊𝒏𝒈 𝒂𝒏𝒅 𝒊𝒏𝒏𝒐𝒗𝒂𝒕𝒊𝒏𝒈. 𝑴𝒐𝒅𝒆𝒓𝒏𝒊𝒛𝒊𝒏𝒈 𝒔𝒆𝒆𝒎𝒔 𝒅𝒂𝒖𝒏𝒕𝒊𝒏𝒈, 𝒃𝒖𝒕 𝒘𝒆 𝒄𝒂𝒏'𝒕 𝒂𝒇𝒇𝒐𝒓𝒅 𝒕𝒐 𝒃𝒆 𝒍𝒆𝒇𝒕 𝒃𝒆𝒉𝒊𝒏𝒅." - A small tech business owner For the past several weeks, Guddi Growth has had insightful discussions with owners of legacy tech companies. These are great businesses that have been running for decades, have loyal customers, and solve mission-critical problems. However, over time, they've accumulated a massive technical debt. They're starting to realize how their older tech stack is handcuffing them from achieving massive growth, but the upgrade seems like a massive project to undertake 😰 Almost half of the meetings end with the owners asking me how I would modernize legacy tech in 2024. No surprises, but AI is the answer! 🤖⚡ I decided to share my learnings from my decade-long career in AI into this Forbes article ... Key Takeaways: ✅ AI bridges the gap between legacy constraints and modern demands for flexibility and reliability ✅ Generative AI models accelerate development cycles, improve compatibility, and extract valuable insights from historical data ✅ A staged modernization approach keeps the business operational, while upgrades are installed Don't get left behind – harness the power of AI to future-proof your organization. It's not just an upgrade but a strategic imperative to stay competitive in today's rapidly evolving tech landscape. Read the full article here #AI #LegacyModernization #GenerativeAI #BusinessTechnology #Innovation

Andreessen Horowitz recent research, "16 Changes to the Way Enterprises Are Building and Buying Generative AI" #Resourcing: budgets are growing dramatically and here to stay: - GenAI experiments and planned to increase spend anywhere from 2x to 5x in 2024 - Measuring ROI is still an art and a science - Implementing and scaling generative AI requires the right technical talent, which currently isn’t in-house for many enterprises #Models: enterprises are trending toward a multi-model, open-source world - A multi-model future, Open source is booming - Model customization through fine-tuning instead of building models from scratch - Cloud is still highly influential in model purchasing decisions #Usecases: more migrating to production - Main internal-facing: Text summarization (62%), Enterprise Knowledge Management (60%) - Customer service (59%), Marketing copy (53%), Software Development (53%), Contract Review (45%) - Main external-facing: External chatbot (39%), recommendation algorithm (39%) #Size of total opportunity: massive and growing quickly - Total spending on model APIs and fine-tuning will grow to over $5B run-rate by the end of 2024, and enterprise spend will make up a significant part of that opportunity #generativeai #scale #LLM #growth #usecases

Generative AI is set to disrupt the software industry! It’s a rapidly evolving technology that has the potential to significantly impact the way software is developed, used, and sold. How are you preparing for the gen AI revolution? Software leaders need to be aware of the potential impact of gen AI and take steps to prepare for it. This includes investing in gen AI research and development, developing new business models, and partnering with other companies to bring gen AI products and services to market. #genAI #technology #TMT

🚀 **Exciting News from Clarifai!** 🌟 Today, we're thrilled to announce the release of our comprehensive guide: "Orchestrating & Operationalizing Enterprise AI." This essential resource addresses the top challenges in moving AI from prototype to production and focuses on supporting day-to-day operations and overcoming common hurdles. 📘💡 As a leader in AI orchestration and development, our mission at Clarifai has always been to simplify and enhance the AI journey. With more than 1.5 million models supported and over 1.3 billion operations in the last year alone, we're equipped to handle large-scale AI workloads across industries. 🌍🔧 **What's inside the guide?** - **Centralized Resources**: Streamline your AI operations with our standardized templates and workflows. - **Model Versatility**: Train, fine-tune, and run any model with ease. - **Data Readiness**: Integrate and prepare your data seamlessly for AI applications. - **Enhanced Security**: Implement robust controls to protect your valuable data. - **Flexible Deployment**: Operate AI anywhere, from cloud to on-prem, tailored to your needs. AI is transforming industries faster than ever before, and it's crucial not to get left behind. Check out our guide to not only keep pace but to lead the charge in this dynamic field. 🚀👩💻 👉 [Download the guide here] https://lnkd.in/ehfFhKJY Let's make AI work not just harder, but smarter. #AI #MachineLearning #Innovation #TechNews #Clarifai

No one is saying you need to implement #AI solutions today. But you better have a plan and strategy that includes the ability to include them into your firms technology stack in the future. How much are you spending on software? Are you investing in technologies of the future or the past? #generativeAI isn't tipping the scales on the make vs buy analysis, it's lifting one side of the table the scale is placed on. https://lnkd.in/gSSWjnAT

Interesting case study on how to bring together AI infrastructure, alliances & in-house capabilities to define a value driven AI strategy. It is fascinating to see this hybrid approach of building reusable data tools(data pipelines + data quality)& AI infrastructure(CI/CD+ ML & visual library orchestration+ serverless automation) while leveraging Alliances with cutting edge AI ecosystem (Mistral.AI , Anthropic, Cohere) & AI roadmap of leading platforms (NVIDIA, Microsoft, Salesforce & SAP) & In-house capabilities: design thinking & change management & Niche( domain specific) knowledge & data providers to deliver tailored value propositions, one which are defined by identifying key value drivers & then carefully joining the dots with underlying actions, decisions, judgments & predictions. These key predictions are further enabled by the right tech,algorithms, talent & operating model.