Oreoluwa Olaitan’s Post

Building on last week’s AI diary entry, let's look at how AI can improve workflow efficiency in tech.   Fine-tuning your workflow is key when it comes to staying competitive. Automation is what you need to be thinking about but let’s think about how that connects to AI.    AI is revolutionising systems like helpdesks, CRMs, and email management by streamlining tasks and improving response times.  One key area where AI shines is in data interrogation, making workflows adaptable and reactive to changing demands. AI's analytical power is mind-blowing and businesses can get insights from vast datasets, which means you can make smarter decisions and create more personalised customer interactions.  Here are my byte-sized tips:   For startups and SMEs looking to use AI for workflow efficiency, start by identifying repetitive tasks crying out for automation. Introduce AI-powered tools tailored to your specific needs, such as chatbots for customer support or predictive analytics for sales forecasting.   Also, invest in employee training to ensure seamless integration and maximise the benefits of AI-driven workflows.   Embracing AI isn't just about automating tasks, it's about helping your team to work smarter.   Has anyone got anything to add?   #AI #PredictiveMaintenance #TechStartUps #TechSMEs #CTO ------------------------------------------------------------ Hi, I’m Tim. Founder of @Scryla Consultancy. I help SMEs and startups develop agile technology strategies that align with business goals creating significant value for founders and investors. Like what you’re reading? Sound the 🔔on my profile to get regular updates! Or + Follow if we aren’t connected.

Deploying AI Systems in an Enterprise: Building a Winning Team 🏆 Good day to you! In our book, The AI and I, you will find that just like in sports, deploying AI systems in an enterprise requires a diverse and talented team to achieve success. Here are some key insights to help you build a winning team for your AI deployment: 1. Leverage diverse skill sets 💡: No single person can possess all the skills needed for a successful AI deployment. Assemble a team with a mix of expertise in areas such as data science, software engineering, and domain knowledge. 2. Choose the right deployment platform 🚀: Select a platform that aligns with your enterprise's needs and goals. Consider factors such as scalability, integration, and ease of use when evaluating platforms. 3. Invest in server infrastructure 🖥️: Robust server infrastructure is crucial for efficient AI deployment. Ensure your enterprise has the necessary resources to support AI workloads and deliver optimal performance. 4. Integrate AI with existing systems 🔗: To maximize the impact of AI, integrate it with your organization's existing systems and processes. This will help streamline workflows and enhance overall efficiency. 5. Scale AI and automation 🌐: As your AI deployment grows, it's essential to scale it effectively. Invest in tools and strategies that enable you to deploy AI and automation at scale, driving innovation and digital transformation. Remember, building a winning team for your AI deployment is all about leveraging diverse skills, selecting the right platform, investing in infrastructure, integrating AI with existing systems, and scaling effectively. By following these steps, you can set your enterprise up for success in the world of AI. 🌟 #AI #ArtificialIntelligence #DigitalTransformation #EnterpriseAI #Automation #Innovation #Teamwork

💡Hey there, Tech Mavericks and AI Enthusiasts! How's the future looking? As AI reshapes the landscape of the digital world, it's crucial for business leaders, particularly in B2B SaaS organizations, to pave the way for a tech-forward future. But are you ready to redefine your organization with AI? Let's talk strategy! Here are some key points to consider: 1. Have a clear AI Strategy: What are your objectives? How much resource are you ready to commit? How are you measuring success? 2. Embrace a Data-Driven Culture: Are all stakeholders effectively using data? Remember, data is the fuel that drives AI innovation. 3. Priceless Investments: Are you investing in your existing workforce? Hiring AI and data science experts? 4. Opt for Industry-Specific AI: Are you tailoring AI solutions to best suit your business needs? This can help achieve accurate predictions and fruitful benefits. 5. Partner with the Pros: Have you considered collaborating with AI vendors and specialists? Expertise, scale, and resources: That's what they bring to the table. AI is no longer a thing of the future; it’s here and it’s happening NOW! Remember, the first step to a successful AI integration is a solid strategy! So where are you on your AI journey? What's working for you? What's not? Get the conversation started now and welcome to an AI-powered future!🚀 #AI #SaaS #B2BSales #DataDriven. P.S. Check the link in comments for some great finds on AI strategy.

AI can drive explosive growth in your SME, and it doesn’t need to be that sophisticated.  To bring about dramatic change, you need your CLevel driving these 4 essential elements:   1️⃣ Data Pipeline Ensure your tech team is clear about the structure and parameters of your Data Pipeline. This is the semi-automated process that gathers, cleans, integrates, and safeguards data in a systematic, scalable, and sustainable way. Think simplicity. The less complexity, the better.    2️⃣ Algorithms Select flexible 3rd party solutions that allow you to generate predictions about future stats or actions of your digital business.  Make sure your input data is as accurate as possible. However, don’t let perfection slow you down.    3️⃣ Experimentation Platform Use an experimentation platform to test new algorithms <constantly> on different data sets or isolated customers.  Use data to ensure that their suggestions are having the intended effect.  Don’t be afraid to change your approach often based on new test data and always have your customer in mind.    4️⃣ Infrastructure Implement key systems that embed processes in software and connect it to internal and external users. Avoid using large-scale monolith systems and focus on cloud-based solutions that can adapt more easily as your business scales quickly. No, you don’t need SAP... Come back to that in 10 years.    In the past two months I have seen multiple enterprises above $5m in annual revenue overcomplicate their AI strategy. Mostly, I see them trying to do too much at once.    It’s crucial that your technology team has their eye on these 4 elements as the core, and doesn’t try to build all the algorithms and their systems themselves.    Oh, and don’t forget: It’s rarely the best approach to develop your own tech solutions for SMEs when there are 3rd party players who are experts in the space.  Integrate, integrate, integrate.    #ai #clevel #ceo

Curious to know how AI could help your business? (No, I am not talking about the regular productivity tools❌) Artificial Intelligence is transforming how businesses operate, offering you the opportunity to scale & grow. Also, if you still think of AI chatbots and automation tools when it comes to automation, I am sorry but you are way behind the AI race. You are thinking- ➡️ Does my business need AI automation? Well, here's a 𝗕𝗘𝗧𝗧𝗘𝗥 question that you should be asking- ➡️ Can an AI-first business disrupt my business? Let's breakdown the process👇 1️⃣ Look at your business and identify specific problems. Whether it’s improving customer service or optimizing your marketing, start with a clear goal. 2️⃣ Test AI with a small project first. This way, you can see how it works and understand its impact before scaling up. 𝗕𝗼𝗻𝘂𝘀 𝘁𝗶𝗽: If AI isn’t your forte, consider hiring consultants or partnering with firms specializing in AI solutions for startups. Remember, start small, stay informed, and let AI scale up your efforts. — — — — — — — — — — — — — — — I’m Swati, the cofounder and Principal data scientist at InteligenAI. We specialize in building customized AI solutions to drive innovation and revolutionize businesses. If you’re a founder or part of a tech-focused organization looking to leverage AI for growth, let’s connect and discuss how InteligenAI can support your success. P.S. That's our team. Regular techies who are found cafe hopping when not squashing bugs. #tech #automation #founders #business #growth

Tech Nation just released their ‘UK Tech in the Age of AI’ report Here are my top 5 takeaways for SaaS businesses 1. 𝐀𝐈 𝐟𝐨𝐫 𝐌𝐚𝐫𝐤𝐞𝐭 𝐃𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭𝐢𝐚𝐭𝐢𝐨𝐧: The UK is highlighted as a leader in AI innovation, with a notable increase in AI investments. SaaS companies should take advantage of this by incorporating AI into their products. This can help them stand out in the market. Use AI to create unique features that solve specific customer problems, making your solutions more appealing and competitive. 2. 𝐅𝐨𝐜𝐮𝐬 𝐨𝐧 𝐄𝐭𝐡𝐢𝐜𝐚𝐥 𝐀𝐈: Responsible AI development is crucial. SaaS companies should make sure their AI solutions are transparent, fair, and inclusive. Develop and share clear ethical guidelines for AI use within your company - this builds trust with customers and stakeholders and ensures compliance with new regulations. 3. 𝐄𝐧𝐡𝐚𝐧𝐜𝐢𝐧𝐠 𝐀𝐈 𝐒𝐤𝐢𝐥𝐥 𝐒𝐞𝐭𝐬: There is a noted talent gap in AI. SaaS companies should focus on building their internal AI capabilities. Invest in training and development programs to improve your workforce's AI skills. This will keep you ahead and ensure your team can effectively manage AI projects. 4. 𝐀𝐈 𝐟𝐨𝐫 𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 𝐚𝐧𝐝 𝐏𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢𝐬𝐚𝐭𝐢𝐨𝐧: AI is increasingly used for data analytics. SaaS companies should use AI to gain deeper insights into customer behaviour and preferences. These insights can help personalise your offerings and improve customer engagement and retention. AI-driven analytics can help you better understand customer needs and tailor your services. 5. 𝐀𝐈 𝐟𝐨𝐫 𝐒𝐮𝐬𝐭𝐚𝐢𝐧𝐚𝐛𝐥𝐞 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬: Climate tech is becoming more important. SaaS companies can support sustainability by developing AI-driven solutions that reduce environmental impact. Focus on creating products that optimise resource use, enhance energy efficiency, and support environmental monitoring and reporting You can read the full report here: https://lnkd.in/epcRRPhT 

🚀 Vital role of Data and AI in Business Strategy Modern companies recognize that the degree to which they can effectively leverage data and AI will determine their long-term ability to perform and win. But for most companies, measurable returns on their investments in data, AI, and analytics remain far out of reach. Research shows that failure to attain ROI is almost always a result of misalignment in business strategy, data readiness, and organizational capabilities. To succeed, companies must develop and incorporate data and AI strategy in every aspect of their business. It should define outcomes, create alignment, inspire action, and ultimately ensure results. An effective data and AI strategy consists of five interconnected components: 1️⃣ Business Strategy: Align your data and AI initiatives with overarching business goals. It's the roadmap that charts the course to success. 2️⃣ Product Strategy: Infuse AI into product development, creating offerings that resonate with the evolving needs of the customers. 3️⃣ Technical Capabilities: Build a robust technical foundation that supports the implementation of cutting-edge analytics and AI solutions. 4️⃣ People Capabilities: Empower your people with the skills and mindset needed to leverage data and AI effectively. 5️⃣ Data Readiness: Ensure that your data is a strategic asset, ready to fuel automation and intelligent decision-making. Success hinges on a holistic approach, where each component is carefully assessed and adapted to propel the company toward its long-term aspirations.  #DataStrategy #AISuccess #BusinessTransformation

AI is rapidly becoming integrated into #SaaS technologies and can help companies get ahead of competitors. While it used to be focused on basic tasks, modern AI is much more sophisticated. In a recent post by Maria Vasserman 🇺🇦 on Canny's blog shared 8 ways that SaaS companies, and organizations in general can quickly adopt #generativeAI into their workflows. I want to focus specifically on Product and 🧠For product development, AI can assist with user analytics, feature ideation, prototyping, testing, coding and more. It streamlines the process. Product managers can utilize AI to analyze customer feedback, brainstorm ideas, create documentation, build roadmaps and automate tasks. The best pull quote from the post came from Deborah Bittencourt at IBS Consulting. “My primary concern with AI is how personalized product insights can be. Most AI data is broad and generic information. It doesn’t always perfectly align with specific user needs. As a product manager, it’s my job to go after user research and testing. I need to ensure that AI-driven solutions are aligned with our users’ unique requirements and expectations.” No tool is perfect, and AI is no exception. Integrating #generativeAI comes with some caveats, limitations and risks companies should be aware of. Many experts agree that AI raises concerns around: 👁️Privacy – where is the data going? AI systems require large amounts of customer data for training, so privacy and appropriate data usage must be considered and data protected. 🎯Accuracy – can we trust this information? If training data is imbalanced or flawed, it can result in biased or unfair outcomes that disadvantage certain groups. Fairness needs monitoring. 🆕Originality – is this plagiarism? Can we still think critically? Customers and employees could become too dependent on AI outputs and lose important human judgment skills over time. 🤖Humanity – will our customers get annoyed by AI and miss human interactions? Many AI models are black boxes, so it may be difficult to explain their decisions or fully understand how they work. Some roles like data entry may be automated, so workforce planning and retraining support should be part of the strategy.

🚀 𝐋𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩 𝐢𝐧 𝐭𝐡𝐞 𝐖𝐨𝐫𝐥𝐝 𝐨𝐟 𝐀𝐈: 𝐍𝐚𝐯𝐢𝐠𝐚𝐭𝐢𝐧𝐠 𝐭𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 𝐰𝐢𝐭𝐡 𝐒𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐀𝐈 🌟 As artificial intelligence (AI) continues transforming industries and shaping the future, effective leadership becomes more crucial. At Structure AI, we understand the challenges and opportunities of integrating AI into your organization. 💡 Our AI & Software Engineering strategy and consulting services are designed to help you navigate this dynamic landscape and unlock the full potential of AI for your business. 🔓   𝐇𝐞𝐫𝐞'𝐬 𝐡𝐨𝐰 𝐰𝐞 𝐜𝐚𝐧 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐥𝐞𝐚𝐝 𝐭𝐡𝐞 𝐰𝐚𝐲 𝐢𝐧 𝐭𝐡𝐞 𝐰𝐨𝐫𝐥𝐝 𝐨𝐟 𝐀𝐈: 1️⃣ 𝐀𝐈 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲 𝐚𝐧𝐝 𝐏𝐨𝐥𝐢𝐜𝐲 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 We'll work with you to develop a pragmatic and approachable AI strategy that aligns with your business goals and ensures compliance with enterprise software and data requirements. 📈 2️⃣ 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐔𝐧𝐢𝐭 𝐀𝐈 𝐄𝐧𝐡𝐚𝐧𝐜𝐞𝐦𝐞𝐧𝐭 Our team will identify opportunities for AI-driven enhancements within your separate business units and create integrated systems for optimal information flow and collaboration. 🤝 3️⃣ 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐀𝐈 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐑𝐨𝐚𝐝𝐦𝐚𝐩 We'll design a technology roadmap that leverages the latest computing, memory, and storage advances, providing you with the best technical footprint possible. 🖥️ 4️⃣ 𝐂𝐨𝐦𝐩𝐫𝐞𝐡𝐞𝐧𝐬𝐢𝐯𝐞 𝐀𝐈 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐄𝐦𝐩𝐥𝐨𝐲𝐞𝐞 𝐄𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭 We'll help you keep your employees engaged and maximize business value through continuous upskilling and learning plans tailored to your organization's needs. 📚 Whether you're a young company preparing for the scale-up phase or an existing scale-up ready for the next stage of growth, Structure AI is here to guide you on your AI leadership journey. 🌍 𝐑𝐞𝐚𝐝𝐲 𝐭𝐨 𝐭𝐚𝐤𝐞 𝐭𝐡𝐞 𝐟𝐢𝐫𝐬𝐭 𝐬𝐭𝐞𝐩? 𝐂𝐨𝐧𝐭𝐚𝐜𝐭 𝐮𝐬 𝐭𝐨𝐝𝐚𝐲 𝐭𝐨 𝐬𝐜𝐡𝐞𝐝𝐮𝐥𝐞 𝐚 𝐜𝐨𝐧𝐬𝐮𝐥𝐭𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐝𝐢𝐬𝐜𝐨𝐯𝐞𝐫 𝐡𝐨𝐰 𝐰𝐞 𝐜𝐚𝐧 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐥𝐞𝐚𝐝 𝐭𝐡𝐞 𝐰𝐚𝐲 𝐢𝐧 𝐭𝐡𝐞 𝐰𝐨𝐫𝐥𝐝 𝐨𝐟 𝐀𝐈. GhassanSalhab@Structure-ai.io and follow our page on LinkedIn https://lnkd.in/gTnNCGxh

🌟 Transforming Tech with AI: The Future of Software Development and IT Consultancy 🌟 As we navigate the digital age, Artificial Intelligence (AI) is rapidly becoming the backbone of technological advancement. Let's talk about the remarkable efficiencies AI is introducing in the realms of Software Development and IT Consultancy. 🚀 Efficiencies in Software Development: Automated Code Generation: AI algorithms are now capable of writing and optimizing code, drastically reducing development time. Enhanced Bug Detection: With AI, identifying and resolving software bugs becomes faster and more efficient, leading to robust and reliable products. Predictive Analytics: AI's predictive capabilities in user behavior and system performance are reshaping how we approach software design and functionality. 🔍 Revolutionizing IT Consultancy: Personalized Solutions: AI enables a deeper understanding of client needs, providing tailored consultancy services. Process Automation: Mundane and repetitive tasks are automated, allowing IT consultants to focus on complex, value-driven activities. Data-Driven Insights: AI's ability to process and analyze vast datasets empowers consultants with actionable insights, leading to more informed decision-making. 💡 The integration of AI in these fields is not just about technological evolution; it’s about redefining the way we approach problems, deliver solutions, and drive business growth. 🤔 As professionals in tech, what are your thoughts on AI’s growing role? How do you see AI shaping the future of software development and IT consultancy? #AIinTech #SoftwareDevelopment #ITConsultancy #Innovation #DigitalTransformation