Vasavi Akula’s Post

How to adopt AI into your operations from a practical standpoint.

My two cents on - Using AI to Improve Processes Building on my previous post, let's explore what it means to adopt AI into your organization’s operations from a practical standpoint. While some organizations may opt for a big bang approach, implementing AI across the entire organization, the more common and likely scenario is integrating AI as part of continuous improvement efforts. AI can enhance efficiencies and streamline operational tasks. Once you understand your processes, identify areas where tasks that previously required semi-manual or creative input from individuals can be automated. For example, AI can generate marketing copy or develop test scripts and data sets. The benefits include increased volume of output and reduced time for execution. However, AI is not a simple plug-and-play solution that replaces individuals with computers. To fully leverage AI, processes need re-engineering to manage and mitigate new risks introduced by AI. This might involve changing the roles and responsibilities of individuals previously part of the original process. As the saying goes, "garbage in, garbage out." The role of quality control (QC) becomes even more critical, shifting from creation to managing both the output and the conditional inputs used by AI. Depending on the individuals involved, this might require retraining or bringing in new talent. The key is to integrate AI holistically, impacting people, processes, and systems. Finding the right person to help develop and manage this change is crucial to ensure you reap the full benefits of AI. Embrace AI thoughtfully and strategically to drive meaningful and sustainable improvements in your organization’s processes. #continuousimprovement #AIops #changemanagement #processimprovement #organizationalchange

AI has the potential to reinvent a lot of jobs and companies for the better. 📈 With proactive and equitable AI deployment, companies can shorten the time it takes to place talent in the right roles, get focused on revenue-generating activities, and spend more time getting better at the uniquely human parts of work.

What role is AI playing in businesses worldwide? AI has taken the world by storm and the pervasiveness of the technology is such that any business not jumping on the bandwagon may face severe losses in market share. AI has changed the way businesses offer value and design their business processes, increasing efficiency and cutting down costs. However, change is difficult, and integration of a technology still in its early years of development may not pay off as some analysts think. Watch our video on AI and businesses below for more information!

Is AI the Secret to a More Productive Year or Just a Shortcut? As we step into a new year, the role of AI in our personal and professional lives continues to expand. From automating mundane tasks to offering predictive insights, AI promises to make us more productive than ever. But here’s the question: is this boost in productivity real progress, or are we simply outsourcing effort and creativity to algorithms? For businesses, AI can be a game-changer—streamlining operations, enhancing customer experiences, and driving innovation. Yet, it’s important to ask: are we using AI as a tool to amplify human potential, or are we at risk of becoming too reliant on it? The key might lie in balance. Leveraging AI to handle repetitive tasks frees up time for more strategic and creative endeavors, but overdependence could dull our problem-solving skills and disconnect us from the work that truly matters. What’s your take? Is AI the productivity ally we’ve been waiting for, or does it come with hidden costs? Let’s discuss how we can harness AI’s potential without losing sight of the human element that drives true progress.

The Power of AI: Shaping the Future Today AI is not just a tool; it’s transforming how we live and work. Here’s how AI is revolutionizing our world and how we are harnessing its full potential responsibly. Harnessing the Full Potential of AI: 1. Efficiency and Automation: - AI’s speed and precision automate tasks and process data in real-time, freeing human potential for creativity and innovation. 2. Innovation: - AI drives breakthroughs in science, medicine, and technology, solving complex problems and advancing capabilities. 3. Personalization: - AI tailors experiences, transforming customer engagement with personalized recommendations and 24/7 support. 4. Safety and Precision: - AI enhances safety protocols and minimizes human error in industries like manufacturing and transportation. 5. Cost Savings: - AI optimizes resources, driving productivity and reducing operational costs, leading to sustainable growth. Illuminating the Challenges: 1. Workforce Transformation: - Investing in reskilling and upskilling ensures employees thrive in an AI-enhanced market. 2. Ethical AI: - Developing fair, transparent AI systems to guarantee just and equitable decisions. 3. Privacy and Security: - Implementing state-of-the-art security measures to safeguard sensitive information. 4. Reliability and Oversight: - Prioritizing system reliability and human control to ensure flawless AI function. 5. Accountability: - Establishing ethical standards and accountability frameworks to foster trust in AI. By addressing these challenges, we are not just harnessing AI’s transformative power—we are shaping a future where technology and humanity coexist harmoniously.

To the Founders and Owners of Small and Medium Businesses: Do Not Let the AI Train Leave Without You As the founders and owners of small and medium businesses, you are rightfully focused on driving your companies forward. However, are you also looking ahead to the rise of artificial intelligence ( AI)? AI is no longer solely a pursuit of the technology industry; it is rapidly becoming a disruptive force across all sectors. From automating tasks to analyzing data to improving products and services, AI applications are redefining how businesses operate. So the question is, what are you doing to prepare for an AI-driven future? Are you upskilling or retooling your workforce? Are you exploring AI solutions relevant to your industry? Are you thinking about how to future-proof your processes and leverage AI's potential? The AI revolution is coming, and it is here, and those who embrace it earliest may be the ones who gain a competitive advantage. Do not get left behind as businesses large and small unlock new opportunities with AI.

Is #AI the next shiny object that distracts businesses embarking on or completing their #digitaltransformation journey successfully? I am not trying to deny the power of AI by any means; however, the majority of businesses are simply not ready. They lack the required infrastructure and/or data structure to support AI's demands. Yet, AI is now expected to magically solve all their problems. This is even more apparent in the manufacturing sector, where we have only scratched the surface in terms of #Industry4.0 implementation (I send another post addressing this topic). AI, on its own, can't solve all the challenges of digital transformation. If businesses prioritize flashy technologies over the critical work of improving operations, aligning with customer needs, and building the required foundations, AI could be seen more as a distraction than a solution. In short, AI should be viewed as a tool within a larger, more comprehensive transformation strategy rather than the end goal itself. It should complement, not derail, the bigger picture. What do you think?

I made a huge mistake by underestimating AI workflow challenges. AI workflows promise efficiency and adaptability, but they come with challenges. Ensuring seamless integration with existing systems, enabling effective decision-making, and maintaining a feedback loop for continuous learning. Key challenges include: → Integration barriers: Ensuring compatibility with legacy systems. → Decision-making limitations: Handling ambiguity in complex scenarios. → Feedback loop gaps: Building robust systems for continuous improvement. Practical examples: • Data silos can hinder seamless integration. • AI might struggle with nuanced human decisions. • Lack of proper feedback loops can result in stagnant models. To overcome these hurdles: → Foster cross-departmental collaboration to break down silos. → Combine human oversight with AI for better decision-making. → Use regular evaluations to ensure workflows adapt and improve. AI workflows are powerful, but they’re not plug-and-play. What challenges have you faced when deploying AI workflows? Let’s share strategies for anyone else reading!

𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝗶𝗻 2025: 𝗔𝗿𝗲 𝗬𝗼𝘂 𝗥𝗲𝗮𝗱𝘆? AI agents are taking over, automating, learning, and adapting in ways we’ve never seen before. They’re not just tools; they’re collaborators, transforming industries and how we work. 𝗞𝗲𝘆 𝗣𝗼𝗶𝗻𝘁𝘀: 1. 𝗪𝗵𝗮𝘁 𝘁𝗵𝗲𝘆 𝗮𝗿𝗲: Autonomous systems that learn, act, and adapt with minimal human input. Think of them as your ultimate digital assistant. 2. 𝗛𝗼𝘄 𝘁𝗵𝗲𝘆’𝗹𝗹 𝗰𝗵𝗮𝗻𝗴𝗲 𝘁𝗵𝗶𝗻𝗴𝘀: From automating complex tasks to driving hyper-personalisation, AI agents will redefine workflows and decision-making. 3. 𝗪𝗵𝘆 𝘁𝗵𝗲𝘆’𝗿𝗲 𝗯𝗲𝘁𝘁𝗲𝗿: They’re scalable, proactive, and integrate seamlessly into existing systems, all while cutting costs. 4. 𝗛𝗼𝘄 𝘁𝗼 𝘀𝘁𝗮𝘆 𝗮𝗵𝗲𝗮𝗱: Upskill, adopt early, foster collaboration, and prioritise ethics to lead, not follow. AI agents aren’t the future, they’re the now. Are you prepared to work *with* them or risk being left behind? 👉 𝗥𝗲𝗮𝗱 𝗺𝗼𝗿𝗲 𝗵𝗲𝗿𝗲: https://lnkd.in/dmPyYG4p Let’s hear your thoughts on how AI agents will shape 2025! 👍 Like, 💬 Comment, and 🔄 Share!