Author Archives: Art Inteligencia

About Art Inteligencia

Art Inteligencia is the lead futurist at Inteligencia Ltd. He is passionate about content creation and thinks about it as more science than art. Art travels the world at the speed of light, over mountains and under oceans. His favorite numbers are one and zero. Content Authenticity Statement: If it wasn't clear, any articles under Art's byline have been written by OpenAI Playground or Gemini using Braden Kelley and public content as inspiration.

Why Change Fatigue is Important

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Why Change Fatigue is Important

GUEST POST from Art Inteligencia

Change is an inevitable part of life, and it is often necessary for progress. However, too much change in too short a time can lead to a phenomenon called change fatigue. Change fatigue occurs when people become overwhelmed by the sheer number of changes they are expected to make or adapt to in a short amount of time. This can lead to feelings of apathy, frustration, and demoralization.

Change fatigue can have a negative effect on both individuals and organizations. For individuals, it can lead to decreased motivation, decreased job satisfaction, and decreased productivity. For organizations, it can lead to a decrease in efficiency, morale, and ultimately, profits.

The best way to prevent change fatigue is to make sure changes are introduced gradually, allowing people to adjust and adapt to each change one at a time. It is important to give people the time and resources they need to fully understand and embrace the changes, and it is important to provide support and guidance throughout the process. In addition, it is important to communicate the reasons for the changes and the expected outcomes. This can help to ensure that people are more likely to accept and embrace the changes.

It is also important to distinguish between necessary and unnecessary changes. Unnecessary changes can lead to confusion and frustration, and should be avoided where possible. Finally, it is important to recognize that change is often difficult, and to allow people some time to adjust and adapt.

Change fatigue is a real problem, and it is important to take steps to prevent it. Careful planning, clear communication, and gradual implementation of changes can help to reduce the risks associated with change fatigue and ensure that people are able to successfully adapt to the new changes.

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What Role Should Artificial Intelligence Play in Innovation?

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What Role Should Artificial Intelligence Play in Innovation?

GUEST POST from Art Inteligencia

Innovation is an ever-evolving process that is constantly pushing the boundaries of what we can do. Artificial intelligence (AI) is quickly becoming a major player in the world of innovation, and its impact is already being felt across many different industries.

From increasing the efficiency of production processes to making more informed decisions, AI is helping to revolutionize the way businesses operate. AI is able to process large amounts of data quickly and accurately, allowing businesses to make better decisions faster. By leveraging AI, businesses can optimize their operations and increase productivity.

AI is also helping to drive innovation in healthcare. AI-powered algorithms are being used to detect diseases and diagnose medical conditions more accurately, and to develop more personalized treatments. AI is also helping medical professionals to better manage their patient data, providing them with more accurate insights into the patient’s condition.

AI is also revolutionizing the transportation industry. Self-driving cars are now a reality, and AI is helping to make them a safe and efficient form of transportation. AI-powered navigation systems are helping to reduce traffic congestion, and are allowing for more efficient route planning.

AI is also impacting the retail industry. AI-powered chatbots are helping to improve customer service and provide a more personalized shopping experience. AI-powered facial recognition technology is being used to increase security and reduce fraud.

The list of ways in which AI is impacting innovation is seemingly endless. AI is helping to revolutionize industries and is transforming the way businesses operate. As AI continues to evolve, it will no doubt continue to revolutionize the way we innovate.

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Co-Creation and Innovation

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Co-Creation and Innovation

GUEST POST from Art Inteligencia

Co-creation has become a major part of the innovation process, allowing companies to develop new products and services while engaging their customers in a meaningful way. By allowing customers to have a direct input in the product development process, companies can ensure that the end result meets their exact needs and preferences.

The concept of co-creation has been around for some time, but it has become increasingly important in recent years as companies recognize the need to stay ahead of the competition and provide customers with the best possible experience. By leveraging co-creation, companies can ensure that their products and services are tailored precisely to their customers’ needs, rather than guessing what those needs may be.

One of the most common forms of co-creation is crowdsourcing, which allows companies to solicit ideas from a large group of people. This can be done through online platforms that allow customers to submit their ideas, or by engaging customers directly in the design process. This process can take place in a variety of ways, such as online surveys or workshops, allowing customers to provide direct input into the product or service they’re looking for.

Using co-creation can also help companies to increase customer loyalty. By giving customers a direct say in the design process, companies can create a sense of ownership, and customers may feel more invested in the product or service they’ve helped create. This can lead to increased customer loyalty, as customers may be more likely to purchase the product or service and recommend it to others.

Finally, co-creation can help companies to gain valuable insights into customer preferences and trends. By engaging customers directly in the design process, companies can gain an intimate understanding of what customers want and need, which can be invaluable when it comes to developing new products and services.

In short, co-creation is a powerful tool in the innovation process that allows companies to stay ahead of the competition and ensure their products and services are tailored precisely to customer needs. By leveraging co-creation, companies can open up a dialogue with customers, increase customer loyalty, and gain valuable insights into customer trends. All of these benefits make co-creation an essential part of the innovation process.

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The Power of Design Thinking in Driving Innovation

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The Power of Design Thinking in Driving Innovation

GUEST POST from Art Inteligencia

Design thinking is a powerful tool that has transformed the way organizations approach problem-solving and innovation. It is a human-centered approach that encourages empathy, collaboration, and experimentation to create innovative solutions that meet the needs of users. By focusing on understanding and addressing user needs, design thinking has proven to be highly effective in driving innovation across various industries.

Case Study 1: Apple’s Success with the iPod

Apple’s success with the iPod exemplifies the power of design thinking in driving innovation. In the early 2000s, Apple identified a gap in the market for a portable music player that offered a seamless and intuitive user experience. Instead of relying solely on technological advancements, Apple’s design thinking approach centered on understanding user needs and pain points.

Apple invested in extensive user research to understand not only the technical aspects of music players but also the emotional connection users had with their music. This research led to the development of a simple, elegant, and user-friendly interface that made accessing and organizing music effortless. The design thinking approach propelled Apple’s innovation in the music industry, revolutionizing how people listen to music and turning the iPod into a cultural phenomenon.

Case Study 2: Airbnb’s Disruption in the Hospitality Industry

Another example that showcases the power of design thinking is Airbnb’s disruption in the hospitality industry. When Airbnb founders Brian Chesky and Joe Gebbia struggled to pay rent, they identified an opportunity by considering the design needs of travelers and home-sharing hosts. They realized that traditional accommodations did not always meet the needs and desires of travelers, while many people had underutilized spaces in their homes.

Drawing on the principles of design thinking, Chesky and Gebbia conducted extensive user research to understand the pain points and desires of both travelers and hosts. By empathizing with their users, they created a platform that provided unique, authentic travel experiences while enabling hosts to monetize their unused spaces. This innovative approach led to Airbnb’s rapid growth and its disruption of the hospitality industry, challenging traditional hotel chains and inspiring the proliferation of the sharing economy.

In both cases, design thinking played a critical role in driving innovation. By putting the user at the center of the design process and empathizing with their needs, Apple and Airbnb were able to develop solutions that transformed their respective industries.

The power of design thinking lies in its ability to foster a culture of innovation within organizations. It encourages collaboration, iteration, and experimentation, allowing teams to explore and test multiple ideas before arriving at the optimal solution. By integrating design thinking into their processes, organizations can unleash the creativity of their employees and develop innovative solutions that truly address user needs.

Conclusion

Design thinking is a powerful approach that drives innovation by putting people and their needs at the forefront. Through empathy, collaboration, and experimentation, organizations can create transformative solutions that disrupt industries and revolutionize user experiences. The case studies of Apple with the iPod and Airbnb in the hospitality industry serve as compelling examples of the power of design thinking in driving innovation. By embracing this approach, organizations can harness the full potential of design thinking to unlock new possibilities and create a better future.

EDITOR’S NOTE: Braden Kelley’s Problem Finding Canvas can be a super useful starting point for doing design thinking or human-centered design.

“The Problem Finding Canvas should help you investigate a handful of areas to explore, choose the one most important to you, extract all of the potential challenges and opportunities and choose one to prioritize.”

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The Power of Empathy in Driving Innovation

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The Power of Empathy in Driving Innovation

GUEST POST from Art Inteligencia

Empathy is a powerful skill that allows individuals to understand and share the feelings of others. While it is often associated with personal relationships and emotional intelligence, empathy also plays a crucial role in driving innovation. By putting themselves in the shoes of their customers, innovators can gain valuable insights and create products and services that truly address their needs and desires. This article explores the impact of empathy in driving innovation through two intriguing case studies.

Case Study 1 – The Airbnb Story

In 2008, Joe Gebbia and Brian Chesky were two struggling entrepreneurs in San Francisco, struggling to pay their rent. They decided to rent out some space in their apartment and provide a homemade breakfast for guests. To better understand the needs and experiences of their potential customers, the duo decided to step into their shoes.

To gain empathy, Gebbia and Chesky traveled to New York City and rented out their own space using their platform. They lived with the guests, capturing their reactions, preferences, and pain points. This experience turned out to be crucial in shaping Airbnb’s future success.

The empathy-driven insights helped them understand that people craved authentic, unique experiences when traveling. As a result, they shifted their focus from just renting out spaces to creating an entire marketplace for unique and local accommodations. They incorporated features like personal profiles, reviews, and detailed listings to build a sense of trust and connection between hosts and guests.

By putting themselves in the shoes of their customers, Gebbia and Chesky were able to create a platform that revolutionized the way people travel. Today, Airbnb boasts over 7 million listings worldwide and has become a global leader in the hospitality industry.

Case Study 2 – The Apple Story

Apple, under the leadership of Steve Jobs, is renowned for its innovative products that have shaped the technology landscape. One of the key factors contributing to Apple’s success is its ability to empathize with customers and anticipate their needs, even before they realize them.

When developing the iPod, for instance, Apple recognized that ordinary people found existing MP3 players too confusing and cumbersome. To better understand the user experience, the team at Apple conducted extensive research, observed customers, and put themselves in their shoes.

The insights gathered from this empathetic approach led to the creation of a simple and intuitive interface that revolutionized the way people interacted with portable music players. The iPod’s success paved the way for future innovations like the iPhone, iPad, and Apple Watch.

By empathizing with customers and anticipating their desires, Apple has consistently introduced groundbreaking products that transcend consumer expectations, reinvent industries, and propel technological advancements.

Conclusion

These case studies highlight how the power of empathy can drive innovation and shape successful business ventures. By understanding the needs, desires, and pain points of customers through empathy, entrepreneurs can develop products and services that truly resonate with their target audience. Furthermore, empathy encourages a user-centric approach, fueling creativity and unlocking new possibilities for innovation.

In a world that is becoming increasingly interconnected and diverse, empathy is not only an essential skill in personal relationships but also a critical catalyst for driving innovation. As businesses strive to stay competitive and relevant, the power of empathy should not be underestimated. It has the potential to transform industries, disrupt markets, and create products and services that truly make a difference in people’s lives.

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Change Leadership and Creating a Culture of Innovation

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Change Leadership and Creating a Culture of Innovation

GUEST POST from Art Inteligencia

In today’s rapidly evolving business landscape, change leadership and creating a culture of innovation have become crucial for organizations to stay competitive and thrive. By fostering a culture of innovation, companies can harness the power of creativity and adaptability, enabling them to consistently adapt, improve, and drive success. In this article, we will explore two case study examples that illustrate the impact of effective change leadership and the creation of a culture of innovation.

Case Study 1: Google

Google, one of the world’s most innovative companies, has established a culture of innovation from its inception. Their success can be attributed to their focus on creating an environment that encourages employees to think outside the box and embrace creativity. Google’s “20% time” policy allows employees to spend a fifth of their work hours pursuing innovative projects unrelated to their daily tasks. This gives employees the freedom to explore new ideas and contribute to the company’s growth.

Google’s change leadership is characterized by a top-down approach that encourages risk-taking and experimentation. By providing employees with autonomy and resources to pursue their innovative ideas, Google has consistently generated groundbreaking products and services. The creation of a culture of innovation has become deeply ingrained in Google’s DNA, allowing them to maintain a competitive edge in the market.

Case Study 2: Toyota

Toyota, a leading automotive manufacturer, is another exemplary case of change leadership and fostering a culture of innovation. In the early 2000s, Toyota faced challenges in terms of quality issues and recalls. To overcome these obstacles, Toyota initiated the Toyota Production System (TPS) and the concept of Kaizen, meaning continuous improvement.

Toyota’s change leadership was characterized by the involvement of all employees in the improvement processes. They emphasized the importance of empowering frontline workers to identify and solve problems rather than relying solely on management decisions. This shift in mindset led to a cultural change where every employee becomes an innovator, continuously looking for ways to improve processes, reduce waste, and enhance quality.

The implementation of TPS and Kaizen resulted in significant improvements in Toyota’s manufacturing processes and quality control. This cultural shift to embrace innovation and continuous improvement enabled Toyota to regain its reputation for superior quality, making it one of the most reliable and innovative automotive manufacturers globally.

Both Google and Toyota exemplify the importance of change leadership and fostering a culture of innovation. By empowering employees and creating an environment that encourages creativity, these companies have successfully embraced change and achieved exceptional results. These case studies demonstrate that innovation thrives in organizations that embrace change, provide resources and autonomy to employees, and build a culture that fosters continuous improvement.

Conclusion

Change leadership and creating a culture of innovation are essential for organizations seeking growth and success in today’s fast-paced business environment. By learning from exemplary companies like Google and Toyota, organizations can develop strategies that foster creativity, adaptability, and continuous improvement. By embracing change and nurturing a culture of innovation, organizations can position themselves as industry leaders and drive innovation to new heights.

SPECIAL BONUS: Braden Kelley’s Human-Centered Change methodology and its associated Change Planning Toolkit™ goes beyond ProSci’s ADKAR, the Association of Change Management Professionals’ (ACMP) Standard, and the PMBOK used by Project Management Professionals (PMP) but is designed to be consistent with them. You can get ten (10) FREE tools from the 70+ tools and frameworks in the Change Planning Toolkit™ here, along with more information about the Human-Centered Change methodology and Braden’s book Charting Change. Book buyers get access to even more tools, including the Change Planning Canvas™.

Accelerate your change and transformation success

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Leveraging Big Data for Predictive Innovation

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Unlocking the Power of Data-backed Insights

Leveraging Big Data for Predictive Innovation

GUEST POST from Art Inteligencia

In today’s digital age, organizations across industries are constantly on the lookout for innovative ways to stay ahead of the competition. Big Data has emerged as a vital resource in driving predictive innovation, helping companies gain valuable insights, make data-backed decisions, and create new opportunities. By leveraging the power of Big Data, businesses can not only identify emerging trends but also predict future patterns, enabling them to proactively strategize and adapt to dynamic market demands. This article explores the potential of Big Data in driving predictive innovation, presenting two compelling case studies that highlight its transformative impact.

Case Study 1: Netflix – Reinventing the Entertainment Industry through Data-driven Personalization

Netflix, the world’s leading streaming service, has revolutionized the entertainment industry by tapping into the vast potential of Big Data. By harnessing customer data, such as viewing habits, ratings, and preferences, Netflix has successfully implemented a recommendation engine that drives user satisfaction and retention. The company’s algorithmic approach analyzes millions of data points to predict viewer preferences accurately, suggesting personalized content tailored to individual tastes.

Through data-backed insights, Netflix predicts what shows or movies a viewer will most likely enjoy, helping users navigate through an extensive library efficiently. This predictive capability has not only enhanced user experience but has also fueled content creation decisions. By gaining valuable audience insights, Netflix has successfully produced and acquired original content, reducing the risk of trial and error associated with traditional methods.

Netflix’s predictive innovation has proven instrumental in dominating the market, with a rapidly growing subscriber base fueling its expansion globally. By combining data-driven personalization with tailored content creation, Netflix continues to reinforce its competitive edge and disrupt the entertainment industry.

Case Study 2: Amazon – Delivering Customer Delight through Dynamic Pricing and Inventory Management

Amazon, the e-commerce giant, exemplifies the power of Big Data in driving predictive innovation. With an immense number of transactions occurring daily, Amazon effectively leverages its vast data treasure trove to optimize pricing and inventory management, ultimately delivering an outstanding customer experience.

Through predictive analytics, Amazon accurately forecasts consumer demand for various products, enabling them to adjust pricing dynamically. By analyzing various factors such as browsing history, purchase patterns, and external market conditions, Amazon optimizes prices in real-time. This approach ensures that consumers receive competitive pricing while Amazon maximizes revenue and profitability. Additionally, by employing predictive analytics, Amazon can forecast demand spikes during events such as Black Friday, thus adjusting inventory levels accordingly and avoiding stockouts.

Amazon’s predictive innovation enables them to offer competitive prices, ensure product availability, and provide next-day or even same-day deliveries – all key factors that contribute to customer satisfaction. By leveraging Big Data, Amazon has propelled itself to become a leader in the e-commerce industry, continuously setting new benchmarks for customer delight.

Conclusion

The case studies of Netflix and Amazon exemplify the power of Big Data in driving predictive innovation. By leveraging vast amounts of data, these companies have gained invaluable insights, enabling them to predict consumer behavior, personalize experiences, and optimize pricing and inventory management. In today’s data-driven world, organizations that harness the potential of Big Data can uncover new opportunities, adapt to customer needs, and fuel innovation. Through predictive innovation, companies can proactively shape their strategies, gain a competitive advantage, and ensure long-term success in an ever-evolving marketplace.

Bottom line: Futurists are not fortune tellers. They use a formal approach to achieve their outcomes, but a methodology and tools like those in FutureHacking™ can empower anyone to be their own futurist.

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Futures Research and the Emergence of New Technologies

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Futures Research and the Emergence of New Technologies

GUEST POST from Art Inteligencia

Advancements in technology have always played a pivotal role in shaping our future. From the wheel to the internet, innovations have revolutionized the way we live, work, and interact with the world. However, understanding the trajectory of technological advancements is no easy task. This is where futures research comes into play. Futures research is the systematic study of the future to better inform decision-making in the present. By analyzing trends, considering alternative scenarios, and forecasting potential outcomes, futures research helps us navigate the complexities of the unknown. In this article, we explore the power of futures research in predicting the emergence of new technologies through two case study examples.

Case Study 1: Artificial Intelligence

Artificial Intelligence (AI) has emerged as one of the most transformative technologies of the 21st century. It is revolutionizing industries and reshaping our daily lives. However, the development and widespread adoption of AI were not merely strokes of luck. Futurists and researchers began exploring the possibilities of AI decades before it became a reality.

In the 1950s, the field of cybernetics paved the way for AI research. Early pioneers like Alan Turing envisioned the idea of machines that could simulate human intelligence. Despite numerous setbacks and disappointments, researchers continued to push the boundaries of AI. They invested in understanding the underpinnings of human cognition, machine learning, and pattern recognition.

Throughout the 1970s and 80s, futures researchers forecasted the potential impact of AI on various industries. They envisioned advancements in robotics, autonomous vehicles, natural language processing, and expert systems. The research and anticipation led governments, academia, and industry leaders to invest significantly in AI research, creating a snowball effect that eventually propelled AI to its current state.

Case Study 2: Renewable Energy

The quest for sustainable energy sources has been a recurring theme in futures research for decades. As concerns about climate change grew, researchers and futurists focused on the need to transition from fossil fuels to renewable energy sources. They recognized the finite nature of conventional energy sources and the environmental harm they inflicted.

In the early 1970s, during the oil crisis, the importance of alternative energy became evident. Futures researchers explored the possibilities of harnessing solar, wind, geothermal, and tidal energy. They analyzed trends in energy consumption, resource availability, and technological advancements. By identifying barriers and potential catalysts, they highlighted the need for investment and policy changes.

As a result of futures research, governments and companies began investing heavily in renewable energy. The development and affordability of solar panels, the increase in wind turbine efficiency, and the rise of electric vehicles can be attributed, in part, to the foresight provided by futures research.

Conclusion

Futures research enables us to anticipate and prepare for the emergence of new technologies by analyzing trends, assessing potential scenarios, and shaping policies. The examples of AI and renewable energy highlight the power of futures research in influencing and accelerating technological advancements.

By investing in futures research, governments, businesses, and individuals can make informed decisions that shape a more sustainable, equitable, and technologically advanced future. Embracing the insights gained from futures research will allow us to navigate the complexities of rapid technological change and ensure that emerging technologies serve the greater good of society as we move forward into a new era.

Bottom line: Futurists are not fortune tellers. They use a formal approach to achieve their outcomes, but a methodology and tools like those in FutureHacking™ can empower anyone to be their own futurist.

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How Blockchain Technology Could Shape Our Future

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How Blockchain Technology Could Shape Our Future

GUEST POST from Art Inteligencia

Blockchain technology has emerged as one of the most disruptive innovations in recent years. Initially introduced as the underlying infrastructure for cryptocurrencies like Bitcoin, blockchain has since evolved to revolutionize various industries and could potentially shape our future in unprecedented ways. Its decentralized and transparent nature has proven to have immense potential in enhancing security, efficiency, and trust across different sectors. In this article, we explore two case study examples that demonstrate how blockchain technology is reshaping the future.

Case Study 1 – Supply Chain Management: Walmart’s Blockchain Adoption

Supply chains are inherently complex, involving multiple parties, from manufacturers to distributors and retailers. Efficient management of these networks is crucial for businesses to deliver products to customers promptly. However, issues like product counterfeiting, lack of transparency, and inefficient processes have plagued the supply chain industry for years.

To address these challenges, retail giant Walmart announced in 2018 that it would adopt blockchain technology for its supply chain management. By leveraging blockchain, Walmart aims to enhance transparency and traceability, ensuring trustworthy tracking of products from origin to store shelves. Through the integration of blockchain, Walmart can verify the authenticity of goods, reduce fraud, and respond swiftly to recalls or product quality issues.

This case study demonstrates how blockchain technology can bring greater efficiency and transparency to supply chains, fostering trust among all stakeholders involved. As more companies follow Walmart’s lead, blockchain adoption in supply chain management will contribute to a safer, more secure, and reliable global market.

Case Study 2 – Decentralized Finance: DeFi and Aave

Traditional banking systems have long been characterized by centralization and numerous intermediaries. This structure often results in slower transactions, higher fees, and limited accessibility, especially for underserved populations. However, blockchain technology has birthed decentralized finance (DeFi), challenging the conventional banking system’s fundamentals.

Aave, a decentralized lending platform built on the Ethereum blockchain, is a prime example of how DeFi is transforming the financial sector. By leveraging smart contracts and blockchain’s programmability, Aave eliminates the need for intermediaries, allowing users to deposit funds that other users can borrow directly. This peer-to-peer lending system ensures faster transactions and lower fees, democratizing access to financial services and empowering individuals who were previously excluded from traditional banking.

The success of Aave and other DeFi platforms showcases the potential of blockchain to revolutionize the financial industry, making it more inclusive and efficient. As decentralized finance gains traction, it could redefine traditional banking practices and empower individuals worldwide, driving financial inclusion and economic growth on a global scale.

Conclusion

Blockchain technology holds immense potential to shape our future across various sectors. The case study examples mentioned above highlight how blockchain adoption can enhance supply chain management, ensuring transparency and trust, while also transforming the financial landscape by providing decentralized alternatives. As blockchain continues to evolve and more industries recognize its benefits, we can expect further innovations that could revolutionize our way of life. The future of blockchain-enabled technologies is bright, offering promises of increased efficiency, security, and equality in our global systems.

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Six Key Skills Innovation Managers Should Have

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Six Key Skills Innovation Managers Should Have

GUEST POST from Art Inteligencia

Innovation managers are responsible for identifying and developing new ideas and products that will give their company a competitive advantage. They must have a combination of creative and analytical skills, as well as the ability to lead and motivate a team. Here are some key skills that an innovation manager should possess:

1. Strategic Thinking

Innovation managers must have the ability to think strategically, developing long-term plans and strategies that can help their organization stay ahead of the competition. They must be able to identify new opportunities for growth and be able to effectively communicate their ideas to the rest of the organization.

2. Leadership

Innovation managers must be able to lead and motivate a team to achieve their goals. They must be able to foster a collaborative environment and ensure that everyone is working together to reach their objectives.

3. Communication

Innovation managers must have strong communication skills in order to effectively convey their ideas and plans to the rest of the organization. They must also be able to effectively listen to their team and be able to provide feedback in a constructive manner.

4. Analytical Skills

Innovation managers must be able to analyze data and make informed decisions. They must be able to identify trends and patterns and use them to their advantage.

5. Creativity

Innovation managers must be able to come up with creative solutions to problems. They must be able to think outside the box and come up with innovative ideas that will give their company an edge.

6. Project Management

Innovation managers must be able to manage projects from start to finish. They must be able to effectively prioritize tasks and ensure that deadlines are met.

By possessing these six key skills, an innovation manager can help their organization stay ahead of the competition and achieve their goals. And of course, a good understanding of the concepts in my friend Braden Kelley’s excellent innovation primer Stoking Your Innovation Bonfire will help as well.

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