Institute for RPA & AI (IRPA AI)’s Post

In today's competitive landscape, effectively harnessing data, analytics, and AI is key to driving organisational growth and differentiation. As the C-suite seeks ways to improve utilisation, unlock new revenue streams, and foster agility in creating new business models, data emerges as the linchpin for success. According to recent studies, over half (52%) of future-ready organisations are already utilising data and analytics at scale. By reinventing how data and AI initiatives align with business strategy, organisations can realize a return on investment swiftly, facilitating the transition from AI pilots to enterprise-wide business transformation. Data-driven Reinvention places data at the core, turning it into the ultimate competitive asset and differentiator. Scaling AI with cloud technology enables organisations to reposition their offerings, extend capabilities, and enhance data and AI maturity, thus creating new sources of value and fostering sustainable growth. Harnessing data, analytics, and AI not only enhances operational efficiency but also unlocks innovation, enabling businesses to stay ahead in today's dynamic market. Visit our website: https://lnkd.in/gMSh-JV7 #LeadershipDevelopment #CareerAdvice #DigitalTransformation #RemoteWork #FutureOfWork #Entrepreneurship #Innovation #ProfessionalDevelopment #DiversityandInclusion #Sustainability #PersonalBrand #TechTrends #MarketingStrategy #AI #Blockchain #HealthTech #FinTech #SocialImpact #Networking #ThoughtLeadership

In today's competitive landscape, effectively harnessing data, analytics, and AI is key to driving organisational growth and differentiation. As the C-suite seeks ways to improve utilisation, unlock new revenue streams, and foster agility in creating new business models, data emerges as the linchpin for success. According to recent studies, over half (52%) of future-ready organisations are already utilising data and analytics at scale. By reinventing how data and AI initiatives align with business strategy, organisations can realize a return on investment swiftly, facilitating the transition from AI pilots to enterprise-wide business transformation. Data-driven Reinvention places data at the core, turning it into the ultimate competitive asset and differentiator. Scaling AI with cloud technology enables organisations to reposition their offerings, extend capabilities, and enhance data and AI maturity, thus creating new sources of value and fostering sustainable growth. Harnessing data, analytics, and AI not only enhances operational efficiency but also unlocks innovation, enabling businesses to stay ahead in today's dynamic market. Visit our website: https://lnkd.in/gK2CRi5t #LeadershipDevelopment #CareerAdvice #DigitalTransformation #RemoteWork #FutureOfWork #Entrepreneurship #Innovation #ProfessionalDevelopment #DiversityandInclusion #Sustainability #PersonalBrand #TechTrends #MarketingStrategy #AI #Blockchain #HealthTech #FinTech #SocialImpact #Networking #ThoughtLeadership

I did some thinking after my business and operations planning post last week about what the future could hold for this activity. I spend a lot of my time standing at the crossroads of business and technology. The way I see industry move and the way we plan is evolving fast. In the near future, the tools we use for business and operations planning won’t just support the process, they’ll actively shape it. Here are three ways I see this evolution playing out: Real-Time Decision Making: Advances in AI and predictive analytics will allow leaders to stress-test plans against a wide range of scenarios in real time. It's exciting to imagine knowing the impact of a supply chain disruption or market shift before it happens. Integrated Ecosystems: Siloed data is the enemy of good planning. Emerging platforms will unify data streams across functions, creating a single source of truth for planning. This means decisions will no longer be based on outdated or incomplete information. Dynamic Resource Allocation: Technologies like digital twins and blockchain will enable organizations to model and adjust resource allocation on the fly. This means faster pivots and optimized execution at every level. Thankfully, technology is an enabler not a replacement for strategic thinking. The best plans will still come from leaders who can balance data-driven insights with human intuition.

The business landscape is transforming with digital advancements, automation, and AI, challenging leaders to drive change and meet an evolving workforce’s needs.   Our acclaimed whitepaper, Complex Leadership Issues in the AI Age, identified these challenges and more—now, our new Professional Diploma in Leading Digital Transformation equips leaders to confidently navigate and harness digital technologies for lasting impact.   Ready to lead digital transformation in your organisation? Learn more about Leading Digital Transformation here: https://lnkd.in/ezA9DjyW Download our AI whitepaper here: https://lnkd.in/emdzFuYa Tony Moroney Bernard Marr Gerd Leonhard Fiona O'Carroll Gary McCarthy Fernando Mayorga #digital #leadership #change #aI #technology #people #automation #blockchain #transformation

Guiding Principles for Digital Transformation are actually a thing! Businesses across the globe are grappling with the implementation of exciting and revolutionary new technologies with the promise that the integration of such technologies will drive greater productivity, efficiency, and sustainability. Top of the list are technologies like blockchain, machine learning and artificial Intelligence. Where to Start? This age old nugget has often been the domain of consultants and experts... but there are some Guiding Principles to help us mere mortals approach digital transformation. "Guiding Principles" are a philosophy that guides an organization's beliefs and values, creating a company culture where everyone understands what's important. Let's take a peek at what these actually look like. 1. Digital Transformation is a journey Digital transformation is not a goal, but rather an ongoing process that involves understanding how technology impacts brand-consumer relationships and developing capabilities to respond to opportunities. 2. It's about culture not technology Consider that that organisational culture deficiencies, including functional silos, fear of risk, and difficulty forming a single customer view, are major barriers to company success in the digital age. 3. Business outcomes should guide the journey Organisations should establish a clear business objective, start small, focus on one area, and demonstrate the value of digital transformation before expanding to other areas. Focus on flexibility, cost reduction, and quality improvement through digital solutions. Its really about incremental progress. 4. Create a culture of continuous change Culture significantly impacts digital effectiveness, emphasizing the importance of continuous improvement and adaptability in the face of rapid workplace changes. Wrapping up this post In my post last week I differentiated Digital Transformation from IT Transformation. Gartner estimates that over 70% of transformation initiatives fail and Forbes reports that 84% of Digital Transformation efforts fail. Pretty lukewarm results for sure... Digital Transformation efforts usually focus on implementing Digital practices, such as Agile, Lean, or DevOps; or implementing Digital Technologies such as Public Cloud, Big Data, Blockchain, AI, or ML - Predictive Analysis. Additionally, many organisations incorrectly think of a Digital Transformation as integrating Digital Technologies. This is merely an IT transformation with the goal of optimising IT performance for business or organisational needs and outcomes. Important?... certainly, but this is only part of the process of Digital Transformation... #digital transformation #AI # blockchain

Navigating the Future of Business Analysis: 3 Key Technologies You Can't Ignore Business Analysis is evolving—fast. To stay ahead, it's crucial to adapt and integrate emerging technologies into our workflows. Here are three technologies that are reshaping the landscape of Business Analysis: Artificial Intelligence & Machine Learning AI isn't just a buzzword—it's transforming how we gather and interpret data. 🔍 What to watch: AI-driven analytics tools that can predict trends and automate decision-making processes. This means more accurate insights, faster. Robotic Process Automation (RPA) RPA is changing the game by automating repetitive tasks, allowing us to focus on strategic analysis. 🔧 How it helps: By reducing manual data entry and analysis, we can allocate more time to problem-solving and decision-making. Blockchain Technology Beyond cryptocurrency, blockchain is revolutionizing data security and transparency. 🛡️ Why it matters: Secure and immutable records make it easier to track changes, validate data, and ensure compliance in our analysis. 🚀 The takeaway? Adapting to these technologies isn't optional—it’s necessary. By integrating AI, RPA, and Blockchain into our practices, we not only enhance our efficiency but also our strategic impact. As Business Analysts, we have the opportunity (and responsibility) to lead this transformation. Curious how these technologies can fit into your workflow? Let’s discuss in the comments!👇 P.S. If you found this helpful, consider resharing ♻️ and follow for more insights on the future of Business Analysis.

Title: "AI & Technology: The New Growth Catalyst for Business Scaling" The advent of Artificial Intelligence \AI\ and technology has revolutionized the way businesses operate and grow. In the quest for scalability and process improvement, these digital tools are now playing pivotal roles. They not only enhance efficiency but also drive innovation, creating a competitive edge for businesses. AI optimizes operational efficiencies by automating routine tasks, which previously consumed significant time and resources. It also empowers businesses with predictive analytics, enabling them to anticipate market trends and customer behavior. This strategic advantage allows businesses to proactively innovate, align their product offerings, and scale effectively. Technology, on the other hand, streamlines business processes, enhances customer engagement, and facilitates data-driven decision-making. From cloud computing to blockchain, these digital tools are transforming the business landscape, making scalability more attainable and affordable. However, to leverage these digital tools, businesses need substantial funding and investment. This is where investors come into play. They are not just looking for innovative ideas but also for businesses that harness the power of AI and technology, as they offer higher returns and a stronger competitive edge. Investors are now prioritizing businesses that incorporate AI and technology into their growth strategies. They understand that these tools not only enhance scalability but also improve processes, profitability, and sustainability. In conclusion, AI and technology are not just transforming businesses but also the investment landscape. They offer a win-win situation, where businesses can scale and improve their processes, while investors can realize higher returns. Therefore, embracing these digital tools is no longer an option, but a strategic necessity for businesses seeking to scale and investors aiming for higher returns. #AIinBusiness #TechnologyInvestment #BusinessScalability

Title: "AI & Tech: Catalysts for Business Scaling and Investment" In our digital epoch, AI and technological innovation have emerged as potent business tools. They have revolutionized how we scale businesses, improve processes, and attract new funding opportunities. Artificial Intelligence \AI\ is no longer a futuristic concept. It's here, now, driving business efficiencies at an unprecedented rate. AI-powered automation can replace repetitive tasks, freeing up human assets to focus on strategic, creative endeavors. It translates to improved productivity, reduced operational costs, and informed decision-making. Moreover, AI facilitates predictive analysis, anticipating customer behavior and market trends, thus enabling businesses to stay one step ahead of their competition. Such data-driven insights are invaluable in crafting a business growth strategy that attracts investors. Technology, on the other hand, acts as a business amplifier. From cloud computing to blockchain, these innovations have disrupted traditional business models, creating agile, scalable, and cost-effective alternatives. For instance, cloud technology enables businesses to scale up or down their operations without significant capital investment, making them more attractive to potential investors. Investors today are keen on businesses that harness the power of AI and technology. They recognize that these tools offer competitive advantages, promote scalability, and improve operational efficiencies. Consequently, businesses that embrace AI and technology not merely survive but thrive, even in the most challenging market conditions. However, it's crucial to remember that AI and technology are tools, not solutions in themselves. The key is to integrate them strategically into business processes, aligning them with the company's vision and goals. In conclusion, AI and technology are more than just buzzwords. They are powerful allies in scaling businesses and improving processes, thereby attracting funding and investment. Embrace them not out of fear of being left behind, but because they are the engines driving business growth and innovation in the 21st century. #AIinBusiness #TechInvestment #BusinessScalability

We’re nearly half way through 2024 and we haven’t seen some of the radical transformations to the world of work that we were promised by various thought leaders. I won’t name names but certain organisations were telling us that AI would be deeply integrated into business processes by the end of the year, others said there would be wide scale adoption of LLMs, and that AI accessibility would be driving widespread innovation and efficiency across multiple sectors. I have repeatedly said that AI is not a magic wand that can transform organisations. An organisation needs to be AI ready before you can think about integration into business processes. Most organisations are a bit messy, somewhat illogical and out of date with documentation. There is also the matter of funding, in many companies budgets haven’t been released for AI beyond initial use cases. I am not in denial. Change will come. It will, however, be messier and slower than predictions suggest. Have some fun with generative AI and find some research about what technologies were predicted to be widely adopted by companies by 2024. Blockchain? Virtual reality? Big data? Let me know what you find! #predictions #ai #emergingtech 🙌🏻 I write about navigating a tech-driven future, informed by my diverse experiences driving change and by my passion for exploring leadership, culture, and the influential power of women today 🙌🏻