Craig Brabec’s Post

I was pleased to attend the Digital Transformation Conference in London yesterday (21st November). Very informative and insightful sessions from speakers on how their businesses are approaching transformation and in particular the impact and opportunities of AI & GenAI. A few core themes to call out; - Always be clear on the alignment with business strategy and goals (not tech for the sake of it) - Bring stakeholders and end-users / colleagues along the journey (people and culture change) - Many enterprises are still in experimentation mode - keep it agile (learn fast) - Do build iteratively through PoCs (I prefer the term PoV - proof of *value*) - Build PoCs not just to throw away but that can be scaled (be enterprise-ready) Specifically for AI and GenAI; - You can't solve with AI and GenAI without strong data management. Garbage in-out was mentioned a few times! - But data needs to be good enough, not perfect (which may be impossible as we've seen from decades of trying!) - Governance is key to align projects with your ethics, principles and external regulations - Explainability of AI is essential in many use cases, especially involving people For many technology leaders, the above should be reassuring. Adopting AI and GenAI relies on good practices used in previous industry disruption cycles. Keep in mind though there is a notable speed and scale difference, enabled by those previous cycles (e.g. SaaS platforms rely on cloud and internet technologies). A final observation - several speakers touched on the enterprise need for real-time insights (which naturally got my attention), noting that the point was associated with cloud-based and centralised platforms. Linebreak and our partners believe that to truly be a real-time enterprise requires leveraging your data *wherever* it is. With more than 70% of that data sitting outside of the cloud, enterprises will need to put AI and GenAI where the data and action is happening. This means complementing cloud with distributed and edge computing for intelligent real-time decisioning and with our innovative technology partners and providers, enterprises can already leverage it to drive their efficiency and growth agendas. #digitaltransformation #distributedcomputing #edgecomputing #AI #GenAI #Realtime

Mark your calendars! Digital.ai's session at the AI for the rest of us event will be on Thursday, October 24th, at 14:00 BST. Our expert, Matthias Zieger, will be diving deep into the world of #GenAI and its transformative impact on the entire Software Development Lifecycle. 🌊💻 In this 30-minute session, you'll learn: 📊 Key metrics to quantify GenAI's benefits 🔄 How AI enhances each #SDLC phase 🛠️ Practical tools for measuring AI's value 📈 Techniques to showcase AI's impact in your org Don't miss this chance to gain actionable insights and stay ahead in the #AI revolution! 🚀 Details and registration: https://bit.ly/3Ycp0s1

Brilliant day yesterday at the AWS GenAI and Data conference, where the focus was refreshingly grounded in the practical realities of bringing AI into production within organisations - moving well beyond the usual hype. The journey towards AI integration, while promising, is filled with challenges that go far beyond just technology. Key takeaways centred on delivering tangible customer value, aligning AI efforts with business KPIs, and the importance of embedding business stakeholders directly into development teams. Holistic change management and leadership enthusiasm are crucial, as is being realistic about data maturity. Attendees stressed the importance of responsible AI, 'learning and tweaking' throughout deployment, and the need to focus on both automation and augmentation, especially when addressing complex use cases like customer support. The message was clear: the gap between proof-of-concept and production is vast, with less than 10% of prototypes making it through. To bridge this, organisations need to embrace 'whole system change', tackle the cultural shifts required, and prioritise delivering value through improved processes. Ultimately, it’s not just about data - it’s about creating measurable impact through AI.

Are you looking to implement #GenAI in your organization? Here are some recommendations that can help you get started. First, leverage Gartner research to create a framework for prioritizing GenAI use cases. It's important to regularly revisit and update this framework to ensure it's aligned with your business goals. Second, instill AI engineering practices such as agile thinking, sandbox environments, composable platform architecture, FinOps, and a product-centric delivery model. These practices can help you build scalable and efficient GenAI solutions. Third, put responsible AI at the heart of your generative efforts. Promote harmonious interaction between humans and machines with design thinking, and by incorporating human feedback into GenAI. Finally, invest in data and AI literacy skills with personalized training programs that focus on "doing" as much as "knowing." It's important to maintain a balance between individual and organizational needs. By following these recommendations, you can successfully implement GenAI in your organization and drive your #digitaltransformation forward. #kk2024 #conversationalai

ATTN #NONPROFITS Catch the wave of AI with us on May 22nd! 🌊🏄 AI isn't just the future...it's the present. Join us to learn how to level-up your NPO's productivity and gain a competitive edge with Copilot for Microsoft 365 and our Organizational Change Management services. During this session, we'll be covering topics such as: 1. The Fundamentals and Foundation of AI 2. What is Copilot and How To Prepare your Environment for Copilot for M365 3. How To Uncover Use Cases, ROI, and How To Reinvest Your Time-Savings 4. What's Possible with CUSTOM AI solutions and a LIVE Demo Come learn from our Director of Organizational Change Management, Vallorie Weires on what's possible with the power of AI and Copilot for M365! Grab your seat today: https://bit.ly/44vbEZI #Copilot #AI #GenerativeAI #ChangeManagement #TogetherWeMakeITHappen

Hybrid by design architecture is an actionable strategy to ensure your organization lands on the winning side. Discover how hybrid by design architectures are reshaping business outcomes in one of our latest IBV Studies. Did you know, 62% of business leaders believe generative AI is more reality than hype, with AI ROI rising from 13% to 31% today? Learn more about architecting for success #AI #BusinessOutcomes #HybridArchitecture #IBM #genai # enterprisearchitecture #cio #cto #ibmer #redhat

ATTN #NONPROFITS! Catch the wave of AI with us on May 22nd! 🌊🏄 AI isn't just the future...it's the present. Join us to learn how to level-up your NPO's productivity and gain a competitive edge with Copilot for Microsoft 365 and our Organizational Change Management services. During this session we'll be covering topics such as: 1. The Fundamentals and Foundation of AI 2. What is Copilot and How To Prepare your Environment for Copilot for M365 3. How To Uncover Use Cases, ROI, and How To Reinvest Your Time-Savings 4. What's Possible with CUSTOM AI solutions and a LIVE Demo Come learn what's possible with the power of AI and Copilot for M365! Grab your seat today: https://bit.ly/4dy5oEr #Copilot #AI #GenerativeAI #ChangeManagement #TogetherWeMakeITHappen

Gartner coined "AIOps" in 2016 to enhance IT operations with ML analytics. Now, it has evolved into unified observability, shifting from reactive monitoring to proactive IT management. As shared by DevOps.com a recent Digitate survey reveals that 90% of IT leaders plan to implement more AI and automation this year. Overcoming tech challenges will significantly improve efficiency and customer experiences. Learn more: https://bit.ly/3wUN7km #Gartner #AIOps #ITManagement #AI #Automation #Observability Nightstar Partners