- Publisher |
- Arek Skuza
- Media Type |
- audio
- Podknife tags |
- Artificial Intelligence,
- Business,
- Design,
- Product Development,
- Technology
- Categories Via RSS |
- Business
- People |
- Country Of Origin |
- USA
- Produced In |
- Dallas, TX
- Premiere Date |
- 2018-10-18
- Frequency |
- Weekly
- Explicit |
- No
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Submit ReviewWelcome to the latest episode of my podcast. In this episode, I delve into the world of artificial intelligence and data monetization with the book "Power and Prediction". Through the book, I explore the ethical considerations and implications of AI and its potential impact on society. I examine how data has become the currency of the digital age and how it is being monetized.
I discuss the risks and benefits of data monetization, including the concerns around data privacy and the potential for biases in algorithms. I also explore how companies leverage data to gain a competitive advantage and how this impacts consumers.
Tune in to Arek Skuza's podcast to join us on this fascinating exploration of the world of AI and data monetization.
Welcome to the latest episode of my podcast. In this episode, I delve into the world of artificial intelligence and data monetization with the book "Power and Prediction". Through the book, I explore the ethical considerations and implications of AI and its potential impact on society. I examine how data has become the currency of the digital age and how it is being monetized.
I discuss the risks and benefits of data monetization, including the concerns around data privacy and the potential for biases in algorithms. I also explore how companies leverage data to gain a competitive advantage and how this impacts consumers.
Tune in to Arek Skuza's podcast to join us on this fascinating exploration of the world of AI and data monetization.
Welcome to the latest episode of my podcast. In this episode, I delve into the world of artificial intelligence and data monetization with the book "Power and Prediction". Through the book, I explore the ethical considerations and implications of AI and its potential impact on society. I examine how data has become the currency of the digital age and how it is being monetized.
I discuss the risks and benefits of data monetization, including the concerns around data privacy and the potential for biases in algorithms. I also explore how companies leverage data to gain a competitive advantage and how this impacts consumers.
Tune in to Arek Skuza's podcast to join us on this fascinating exploration of the world of AI and data monetization.
Let's dive into more details about ChatGPT Plugins - the big revolution in GPT engines. 🔥 If you want to stay informed about the latest news in the world of #AI and Data Monetization, be sure to subscribe to my newsletter at:https://arekskuza.com/newsletter/ ❗Free eBook: https://arekskuza.com/how-to-transfor... My key links 👉 My website: https://arekskuza.com/ 👉 My Twitter: https://twitter.com/arskuza 👉 My Facebook: https://www.facebook.com/mrskuza/
Let's dive into more details about ChatGPT Plugins - the big revolution in GPT engines. 🔥 If you want to stay informed about the latest news in the world of #AI and Data Monetization, be sure to subscribe to my newsletter at:https://arekskuza.com/newsletter/ ❗Free eBook: https://arekskuza.com/how-to-transfor... My key links 👉 My website: https://arekskuza.com/ 👉 My Twitter: https://twitter.com/arskuza 👉 My Facebook: https://www.facebook.com/mrskuza/
Let's dive into more details about ChatGPT Plugins - the big revolution in GPT engines. 🔥 If you want to stay informed about the latest news in the world of #AI and Data Monetization, be sure to subscribe to my newsletter at:https://arekskuza.com/newsletter/ ❗Free eBook: https://arekskuza.com/how-to-transfor... My key links 👉 My website: https://arekskuza.com/ 👉 My Twitter: https://twitter.com/arskuza 👉 My Facebook: https://www.facebook.com/mrskuza/
Let's dive into more details about ChatGPT Plugins - the big revolution in GPT engines. 🔥 If you want to stay informed about the latest news in the world of #AI and Data Monetization, be sure to subscribe to my newsletter at: https://arekskuza.com/newsletter/ ❗Free eBook: https://arekskuza.com/how-to-transfor... My key links 👉 My website: https://arekskuza.com/ 👉 My Twitter: https://twitter.com/arskuza 👉 My Facebook: https://www.facebook.com/mrskuza/
Welcome to the latest episode of my podcast. In this episode, I delve into the world of artificial intelligence and data monetization with the book "Power and Prediction". Through the book, I explore the ethical considerations and implications of AI and its potential impact on society. I examine how data has become the currency of the digital age and how it is being monetized.
I discuss the risks and benefits of data monetization, including the concerns around data privacy and the potential for biases in algorithms. I also explore how companies leverage data to gain a competitive advantage and how this impacts consumers.
Tune in to Arek Skuza's podcast to join us on this fascinating exploration of the world of AI and data monetization.
Welcome to the latest episode of my podcast. In this episode, I delve into the world of artificial intelligence and data monetization with the book "Power and Prediction". Through the book, I explore the ethical considerations and implications of AI and its potential impact on society. I examine how data has become the currency of the digital age and how it is being monetized.
I discuss the risks and benefits of data monetization, including the concerns around data privacy and the potential for biases in algorithms. I also explore how companies leverage data to gain a competitive advantage and how this impacts consumers.
Tune in to Arek Skuza's podcast to join us on this fascinating exploration of the world of AI and data monetization.
Welcome to the latest episode of my podcast. In this episode, I delve into the world of artificial intelligence and data monetization with the book "Power and Prediction". Through the book, I explore the ethical considerations and implications of AI and its potential impact on society. I examine how data has become the currency of the digital age and how it is being monetized.
I discuss the risks and benefits of data monetization, including the concerns around data privacy and the potential for biases in algorithms. I also explore how companies leverage data to gain a competitive advantage and how this impacts consumers.
Tune in to Arek Skuza's podcast to join us on this fascinating exploration of the world of AI and data monetization.
Welcome to the latest episode of my podcast. In this episode, I delve into the world of artificial intelligence and data monetization with the book "Power and Prediction". Through the book, I explore the ethical considerations and implications of AI and its potential impact on society. I examine how data has become the currency of the digital age and how it is being monetized.
I discuss the risks and benefits of data monetization, including the concerns around data privacy and the potential for biases in algorithms. I also explore how companies leverage data to gain a competitive advantage and how this impacts consumers.
Tune in to Arek Skuza's podcast to join us on this fascinating exploration of the world of AI and data monetization.
Welcome to the latest episode of my podcast. In this episode, I delve into the world of artificial intelligence and data monetization with the book "Power and Prediction". Through the book, I explore the ethical considerations and implications of AI and its potential impact on society. I examine how data has become the currency of the digital age and how it is being monetized.
I discuss the risks and benefits of data monetization, including the concerns around data privacy and the potential for biases in algorithms. I also explore how companies leverage data to gain a competitive advantage and how this impacts consumers.
Tune in to Arek Skuza's podcast to join us on this fascinating exploration of the world of AI and data monetization.
Welcome to the latest episode of my podcast. In this episode, I delve into the world of artificial intelligence and data monetization with the book "Power and Prediction". Through the book, I explore the ethical considerations and implications of AI and its potential impact on society. I examine how data has become the currency of the digital age and how it is being monetized.
I discuss the risks and benefits of data monetization, including the concerns around data privacy and the potential for biases in algorithms. I also explore how companies leverage data to gain a competitive advantage and how this impacts consumers.
Tune in to Arek Skuza's podcast to join us on this fascinating exploration of the world of AI and data monetization.
Welcome to the latest episode of my podcast. In this episode, I delve into the world of artificial intelligence and data monetization with the book "Power and Prediction". Through the book, I explore the ethical considerations and implications of AI and its potential impact on society. I examine how data has become the currency of the digital age and how it is being monetized.
I discuss the risks and benefits of data monetization, including the concerns around data privacy and the potential for biases in algorithms. I also explore how companies leverage data to gain a competitive advantage and how this impacts consumers.
Tune in to Arek Skuza's podcast to join us on this fascinating exploration of the world of AI and data monetization.
Welcome to the latest episode of my podcast. In this episode, I delve into the world of artificial intelligence and data monetization with the book "Power and Prediction". Through the book, I explore the ethical considerations and implications of AI and its potential impact on society. I examine how data has become the currency of the digital age and how it is being monetized.
I discuss the risks and benefits of data monetization, including the concerns around data privacy and the potential for biases in algorithms. I also explore how companies leverage data to gain a competitive advantage and how this impacts consumers.
Tune in to Arek Skuza's podcast to join us on this fascinating exploration of the world of AI and data monetization.
Business analytics uses data, statistical and quantitative analysis, and predictive modeling to gain insights and make informed decisions for a company. It involves collecting, organizing, and analyzing large amounts of data from various sources to help businesses understand and improve their operations, customer experience, and overall performance.
Business analytics aims to provide accurate and real-time information to help make informed decisions. The application of business analytics creates the possibility of acquiring a more in-depth comprehension of the market, the competitors, and the customers. By analyzing data, businesses can identify trends, patterns, and relationships that can help them grow and achieve higher success.
AI is skyrocketing, and the burning question is: will it replace humans? ❗Instead of fearing the unknown, let's talk about alliance of AI & people - working in harmony can make our jobs more efficient!
Welcome to the latest episode of my podcast. In this episode, I delve into the world of artificial intelligence and data monetization with the book "Power and Prediction". Through the book, I explore the ethical considerations and implications of AI and its potential impact on society. I examine how data has become the currency of the digital age and how it is being monetized.
I discuss the risks and benefits of data monetization, including the concerns around data privacy and the potential for biases in algorithms. I also explore how companies leverage data to gain a competitive advantage and how this impacts consumers.
Tune in to Arek Skuza's podcast to join us on this fascinating exploration of the world of AI and data monetization.
In this video, we'll be talking about product stories and how to grow your AI company. I'll interview the founders of Story Brain, an AI company, to get their insights on the subject. Check the company website: https://storybrain.com
Are you attending an AI or Machine Learning meeting? If you're unsure what to expect, this recording is for you. Learn how to shape new business opportunities and get the most out of your meeting.
Do you want to learn how to monetize data? In this recording, I will explain five steps you can plan in your business to successfully monetize your data. Those data monetization strategy elements are easy to consider and plan in your enterprise.
Armen Hovhannisian is the marketing boss of Hoory, an artificial intelligence chatbot development company. In this recording, he chats with me about chatbots, artificial intelligence, and how to build AI companies from scratch. It's a fascinating discussion that will give you insights into the future of business.
Not every organization is ready, and not every business can monetize data. However, you can review elements that are worth preparing to be able to monetize your business data. In the recording, I define these three elements necessary for data monetization and prepare you for how to construct them in your company.
Are you ready to revolutionize your business? In this podcast, I will teach you how to use data analytics to transform your business model and take it to the next level. Learn how to make insightful decisions backed by data-driven insights and get a competitive edge in today's market. Discover the power of data analytics and see how it can help you redesign your business model!
Data monetization is becoming an increasingly popular trend with businesses due to its potential for generating higher revenue and creating more efficient data-driven operations. This article will explore the value of data monetization to customers outside the core business – such as those in the embedded systems domain – and why it could be a worthwhile investment for them. It is worth noting that data monetization is more than just data trading. It involves data analysis and understanding, as well as the usage of artificial intelligence (AI) technologies to generate insights and value from data. When properly utilized, data monetization can be a powerful tool for businesses and customers alike – allowing them to maximize their potential returns on data investments.
To make the most out of data monetization, it's essential to understand what influences customers willingness to share their data with companies. This recording takes a closer look at three factors - trust, transparency, and convenience - and offers insights on how businesses can improve their data monetization strategies accordingly.
You've undoubtedly heard about data monetization by now. But what does it mean for your business? In this recording, I explore some of the most important business capabilities for successful data monetization.
Data monetization is the process of turning data into value. It can be done through various methods, including but not limited to selling data, using data to create targeted ads, or providing subscription-based access to detailed datasets. This recording discusses data monetization strategies' different elements and provides solid definitions.
Digital twins are growing in popularity for a reason. They offer businesses the ability to see their products and operations in a virtual world, improving efficiency and reducing waste. But what value do digital twins deliver today? This recording takes a look at some of the most important benefits of using digital twins in your business.
Metaverse is a constantly evolving virtual world that offers endless possibilities for businesses and individuals. In this recording, I explore some of the artificial intelligence techniques available in the metaverse and how they can be used to create immersive experiences for users.
Metaverse is a rapidly growing digital asset platform with unlimited potential. In this recording, I explore eight areas where you can expect positive ROI shortly. Whether you're looking to invest in real estate, digital currencies, or gaming tokens, Metaverse has something to offer everyone!
The digital twin is a key concept in the metaverse, and it's something that all businesses should be aware of. In this podcast, we explain what a digital twin is, and how artificial intelligence can help you create one for your business.
In the Metaverse, Machine Vision is used to identify and track objects in a virtual space. This technology is used for various purposes, including security, product identification, and marketing.
As artificial intelligence continues to evolve, it is increasingly being used in the metaverse. This has led to a number of changes and improvements in the way that users interact with the metaverse. In this podcast, I discuss some of the ways that AI is changing the metaverse and how it is benefiting users.
The metaverse is a digital world that exists parallel to our own. It can be used for gaming, social networking, or business purposes. In this video, I explain the seven layers of the metaverse and show how they work together to create a rich digital experience.
Artificial intelligence is one of the biggest trends in the United States for software development companies. Specifically, AI is leveraged by what is called "micro-experience". In this podcast, I discuss what micro-experience is and how it can be used by businesses.
Every day, businesses are being disrupted by Artificial Intelligence. In this podcast, I'll explain you 3 reasons why AI is the new competitive edge for many industries.
Businesses everywhere are recognizing the power of AI to improve processes, meet customer needs, enter new spaces, and, above all, gain a sustainable competitive advantage. With this recognition has come an increased adoption of—and investment in—AI technologies. What are the critical elements that managers need to foresee to build a lively and effective organization which will adopt AI comprehensively?
With the ever-changing digital transformation landscape, there are now more responsibilities on a Chief Digital Officer's shoulders than ever before.
📌 Gone are the days when they were only responsible for introducing basic capabilities and perhaps piloting handfuls initiatives - today, this person must coordinate changes that address everything from updating how companies work to building out entirely new businesses altogether!
📌 This is my new podcast, and it highlights five key areas that Chief Digital Officers should be aware of.
The foundation of the Center for Excellence is the automation governance model, which provides a framework for decision-making, enables standardization and consistency of approach, and facilitates communication across stakeholders. The COE is in charge of setting the organization's overall strategy and direction for automation. This entails formulating a comprehensive architecture that meets the company's needs while also establishing procedures and standards to ensure that automation is implemented correctly and consistently. The COE also oversees the operations of the automation center, which includes organizing resources (tools, people, processes).
The metaverse is a collective virtual space that merges the real world with the virtual world. In the past, it was mainly used for gaming and entertainment purposes. However, recent technological advances have made it possible for the metaverse to be used for a variety of other purposes, such as education, business, and socializing. The metaverse will use augmented and virtual reality (AR/VR) in combination with artificial intelligence and blockchain to create scalable and accurate virtual worlds.
Artificial intelligence (AI) applications are becoming more and more common in our daily lives. In a recent McKinsey survey, 50% of those surveyed said that their company uses AI for at least one business function while 40 percent have an organization-wide strategy involving artificial Intelligence! This metaverse will use augmented reality with virtual realities to create scalable accurate worlds which can be used as learning environments or social spaces too.
With the increasing popularity of augmented and virtual reality (AR/VR), the metaverse is becoming an increasingly more viable platform for a variety of purposes. In particular, the use of artificial intelligence (AI) in the metaverse will play a significant role in enhancing user experience and interaction.
We all know how difficult it is to stay on top of our game at work. But what if you could stop distractions and focus more efficiently with artificial intelligence? In this podcast, we'll look into the case studies of Adobe and Stitch Fix as well as explore ways that AI can improve your company's financials!
Artificial intelligence is making waves in the world, and it’s not just for technology. AI has touched every aspect of our lives - from how we communicate to what kind of news stories are being generated by major media outlets. As with most things related to life transitions, there will be positive and negative ways that artificial intelligence benefits society. One thing is 100% true – artificial intelligence radically transforms the world we live in. The transformative impact of AI on our society will have far-reaching financial, legal, political, and regulatory consequences that the world needs to be prepared for. Share the podcast with your network, if you find it interesting!
Gone are the days when organizations could only afford an experimental approach to artificial intelligence and broadly understood analysis. Now it's time to accelerate the application of AI.
Founded in January 2019, Upswot technology serves dozens of financial institutions helping them to build loyalty and grow engagement among their SMB clients. The platform is a white-labeled portal deployed into customers’ private cloud and connected with the online banking application. Using an approach similar to Plaid, SMBs connect their data for continuous, API-enabled access to QuickBooks, Xero, Salesforce, and 120+ other business critical SaaS applications. Data is aggregated in real-time and thousands of signals are analyzed to help SMBs better understand the health of their businesses via interactive dashboards. On the back-end, Upswot surfaces meaningful data for relationship managers to upsell the right products and services while building more meaningful and longer-lasting relationships.
Save Lives. Save Money. Now. Nauto has the only real-time, AI-enabled fleet and driver safety platform that helps predict, prevent and end distracted driving. Piyush serves as the product director and he has incredibly insight to share.
Oleksandr is General Manager Retail CEE at Shell | CEE Downstream Representative | Board Member.
Launching a new product or service (or entering a new market with the existing portfolio) isn't obvious.
- How can you ensure that you'll reach the right KPIs and achieve your business goals?
For that very reason, to improve their odds, businesses leverage a plan known as a GTM strategy (go-to-market strategy).
Although the three terminologies are typically used interchangeably, they no longer pretty refer to similar things. Let's look into the three buckets of computer science and compare artificial intelligence vs. machine learning with a little deep learning grasp.
Consumer beliefs and behaviors are changing fast. To keep up with—and perhaps even influence—those changes, companies must leverage deep consumer insights. These are internal changes, but they are external ones. COVID19 is one of the most influential forces, which demanded many companies to revisit their go-to-market strategy.
New product development (NPD) is designing and launching products to answer a market opportunity.
AI for new product development has applications across various business sectors.
How does AI help to bring products faster to the market with more accurate results?
AI can fail you, and in a big way: by delivering results, which nobody cares about, or providing results only if you invest millions, which might not guarantee final success. Measuring the ROI of the Artificial Intelligence project will put you on the right track.
The hype around artificial intelligence (AI) has led to lots of jargon making the technology difficult to understand in product development.
I have asked myself?
What are the elements which product development should cover in the process of building great AI-powered products?
I will answer the question by exploring the elements of the AI technology development process.
Lemonade is a next-generation AI company offering home insurance products. It is a pioneer in the InsurTech ocean. Its adoption of machine learning (ML) goes beyond customer experience and driving efficiencies to underwrite risks and manage claims.
Considering Lemonade as a disruptor to the insurance industry, top-notch investors like SoftBank, Google Ventures, and Allianz financed the company with a $480 million funding. The investors' trust was strengthened as the startup managed to attract more than 14,000 subscribers in eight months only. It is is not the end of the fantastic story. Having reached $1m ARR in Q2 2017, Lemonade's ARR reached $10m ten months later and jumped from $1m to $100m in 2.5 years.
Ben leads the B2C Experience Product team at FordDirect to develop and launch digital products during a time when Ford Motor Company is undergoing massive transformational change. Ben is responsible for the product management of Ford Motor Company North America portfolio of B2C digital experiences, including ford.com, lincoln.com, ford.ca, lincolnofcanada.com, regional dealer websites, and several other digital properties.
Over the last six years, Ben has led Digital Retail initiatives and has developed deep domain expertise on this subject matter. He is an automotive eCommerce leader driving efforts to simplify the car buying process and experience through digital transformation and delivering stellar digital experiences for Ford Motor Company and it’s dealer body.
In this podcast, we will cover the following topics:
- What are the challenges in integrating advanced digital technologies into the buying process? How Artificial Intelligence influences the process of buying vehicles but also communicating with buyers?
- Personalization - is it still something new, or is it commoditized already? How does CX need to be redesigned considering customers’ expectations?
- What Product Managers can do to stay more competitive and bring even more value to companies like Ford? What do companies expect from Product Managers in the era of digital technologies and direct communication?
You might think that AI requires a lot of people, funding, and complicated infrastructure.
GoPro examples prove you can start small, with one person, ready to go software, and a lot of experimentation.
In this video, I explain how GoPro began, as I think their approach is very inspirational.
They started small and experimented with solving real customers' pain points.
If you want to learn about Artificial Intelligence from home, please visit my website for more resources: www.arekskuza.com/learn
Arek Skuza
Have you ever wondered what it takes to deliver robust, digital services in the global, American enterprise world?
📌 What are the scrum masters dealing with? 📌 How to deal with teams, stakeholders, pressure, and still deliver a great experience to end-users.
✅ And AI is coming, will it influence the Scrum Master job?
Let’s get together and discuss these issues with Sirisha Andavolu.
Sirisha serves as the Senior Analyst and Scrum Master. She has an amazing experience with brands like Southwest Airlines, Fidelity Investments, JP Morgan Chase.
The systems we require for sustaining our lives rely upon algorithms to run. Entertainment, food distribution, healthcare, fuel, global banking, sport and wellness, and much else are becoming highly automated.
AI development needs reliable moral guidance if we are to avoid some of the more catastrophic scenarios envisioned by AI critics.
I am excited to conduct a conversation with Reid Blackman Ph.D., about Artificial Intelligence and ethics.
Reid works with senior leaders to develop and deploy strategies that identify and solve for ethical red flags. He is a Senior Advisor to Ernst & Young and is a Founding Member of EY's AI Advisory Board. After hours, he is a father of two and, when they let him, he enjoys rock climbing..
In this LIVE conversation, we will cover: 📌 What has been discovered by researching ethics in Artificial Intelligence? Where are we now with this subject?
📌 What about the machines' responsibility? Will the robot be ever responsible for any damage?
📌 Chips under the skins, wires in our skulls, cars rushing while the driver is sleeping - any chance to make that ethical?
If you like what I do, please check my website: www.arekskuza.com and grab the newsletter: https://arekskuza.com/newsletter/
Check the interview with Anurag Ranjan, who is a manager at ICONMA, American recruitment and staffing company.
We live in the same city, Dallas, but due to COVID19, we couldn't meet for this face to face. We decided to get the chance and do it online.
He explained what the future of the recruitment industry in the Artificial Intelligence era is. Anurag also shared his insights and recommended how to look for a position in the age of algorithms.
Here is what you will learn by listening to this episode.
1. What are the benefits of AI for recruiting?
2. How can recruiters use AI? What candidates need to consider?
3. Do you think AI can take over humans in recruitment?
This podcast is based on my LIVE video conversation, which you can watch here: https://youtu.be/YSWtEOnbkHg
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Subscribe to my newsletter and get tools, articles, interviews and coaching - www.arekskuza.com
Keep launching amazing products!
Product management is a dynamic field that requires a lot of tenacity and grit, but not necessarily an advanced degree like an MBA. To succeed as a PM, you’ll need to have an entrepreneurial spirit and a high level of emotional intelligence. The best PMs are confident in their abilities and willing to push the envelope in search of the next big thing. Though the road may be unconventional, the ingredients required for effective product management are the same.
Listen this podcast to learn:
1. What is a product manager?
2. What does a product manager do?
3. How can you become a product manager?
4. What skills do you need to become a product manager?
This podcast is based on my article, which you can read here: https://arekskuza.com/the-innovation-blog/how-to-become-a-product-manager/
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Subscribe to my newsletter and get tools, articles, interviews and coaching - www.arekskuza.com
Keep launching amazing products!
What is Artificial General Intelligence? Why Elon Musk partnered with Microsoft to keep working on it.
Is your microwave going to be smarter than you?
Also, why is Artificial General Intelligence a different animal than Artificial Intelligence?
Couple links:
Architects of Intelligence book: https://www.amazon.com/Architects-Intelligence-truth-people-building-ebook/dp/B07H8L8T2J
Subscribe to my newsletter: www.arekskuza.com
Do you see customers' pain-points and don't know how to turn them into a powerful, digital product?
Are you wondering which idea should be turned to the new product?
You can't decide which concept is better for your customers?
Embrace Slack's founder approach, which I call "SideEffect". Listen to this podcast and start leveraging "SideEffect" tomorrow.
Here is the link to slides I mention in the podcast: https://drive.google.com/file/d/1lAFk6Cw6R_1eNdkkFQqOlPUgLD8U8Un0/view?usp=sharing
Check my website: www.arekskuza.com
Trends capture provides a 360 perspective of the external circumstances that affect product launch and go-to market startegy. While defining future objectives for a product or service, trend capture is used as a basis on which future go to market strategy assumptions are designed. Market trend capture involves getting four puzzles together:
Puzzle 1: Understand trends in consumer needs (value propositions shift and expectations)
Puzzle 2: Shifts in Consumer Perception of Value are dynamic, and it necessary to track the real-time
Puzzle 3: Capture the cost drivers which trends are providing
Puzzle 4: Grasp and track change and evolution of the niche
Curious what trends capture presentation/visualization looks like? Please go to my post and study a few examples I have uploaded for you: https://arekskuza.com/the-innovation-blog/go-to-market-strategy-building-capture-market-trends/
Happy listening!
Please provide feedback to contact@arekskuza.com
New products and product innovation are the best ways to promote growth. Apple, Microsoft, Sony, and thousands of small and mid-sized companies' managers understand that the launch of new products is necessary. Customers are impatient, they expect new features, enhancements, and continuously developing a value proposition, and they are ready to pay for it (either with money or data).
At the same time, 95% of products fail because companies are mostly busy with building features, and they don't develop effective Go-To-Market strategies. Figuring out and mastering a go-to-market approach is no trivial task — it separates the organizations that will be prosperous and sustainable from those that won't.
Grab the podcast with the framework, which I think, is useful in building compelling go-to market strategy.
How the retail will never be the same again?
Amazon's retail strategy extends well beyond Amazon.com into brick-and-mortar cashier-less and pop-up stores that purposely disrupt the retail model. What is Amazon doing? What is the company tactic? Should Carrefour, Wal-Mart, IKEA, H-E-B, or Auchan be afraid? Let's see in the podcast what is Jeff Bezos's crazy journey.
I am Arek Skuza, I work with companies on product launch, product market fit, and go to market strategy. Welcome to my podcast. Happy listening.
Open Innovation has been widely embraced in organizations across the world. It has proven its effectiveness in the US and Europe, as well. Many cases of it being used efficiently by businesses like P&G, Lego, Samsung, GE, Tata Group, Marico, Philips, and BlaBlaCar. On the other hand, there are still firms that are yet to embrace Open Innovation or are unable to extract value from it.
The promise of Open Innovation
- Time savings: reduction of time-to-market via Open Innovation.
- Cost savings: reduction of cost-to-market
- Open Innovation brings more novelty to current or new customer segments than Close Innovation.
Open Innovation is an efficient way to face fierce competition in an environment where new business models and processes are being scaled by fact moving innovators. Its achievement is rooted in organizing multi collaboration between various players and parties to create a sum that is greater than the parts of the partners. When put into practice, this enables organizations to access ideas, skills, technologies, and assets quickly, combine them efficiently and bring product growth quicker and cheaper.
Welcome to my next podcast. Listen to this piece to learn:
1. What is co-creation, and how you can quickly embrace it in your business?
2. Why is co-creation the future of any successfully launched and scaled product/service or microservice?
3. How did DHL leveraged co-creation to launch:
- Parcelocopter;
- Smart Glasses;
- Trucks maintenance on the demand;
Enjoy it and let me know what do you think.
Nobody owns ideas! Execute on innovation or die EUREKing. Put the podcast on and learn:
- Amazon. Nike and Zalando say an open-source mindset fosters collaboration and make it easier for companies to gather resources and tackle subjects like sustainability.
- Nordstrom an American chain of luxury department stores, a retailer with $15.86 bln revenue in 2019 started the open-source project called Hello, Retail! The scheme aims to simplify and accelerate the process for merchants, which are adding a product to a retailer’s inventory.
- Anadarko Petroleum Corporation experiments with different options, and technologies, including artificial intelligence (AI), highly effective algorithms, machine learning, and software development methods. The digital R&D teams want to figure out how these tools can leverage and accelerate the performance of the petrotech business players and partners.
Enjoy it and follow me at www.arekskuza.com
The biggest and medium companies opened their innovation labs. Many companies will open innovation labs in the nearest future.
Does the corporate innovation lab bring money to the mother company? Can it change the revenue of large and medium-size companies?
Listen to this episode to learn:
1. UPS example of changing its core product with startup partnership and acquisition
2. how can executives of large companies shift the performance of their products
3. a few tips regarding the strategic angle of corporate innovation labs.
If you like what I share with you, please go to www.arekskuza.com and subscribe to my newsletter, it's highly curated content about scaling startups with large companies and corporate innovation.
Don't introduce bad startups to your boss. You don't want to sound ridiculous or not prepared. How to quickly scan startups before you start doing business with them. If you want to learn more, subscribe to my weekly letter at www.arekskuza.com
"I don't know how to speak to the CEO and Board of Directors team and convince them to allocate their time into my innovative project."
We had a FB Live and I explained 3 methods which you can use if you struggle with catching the attention of CEOs and Board of Directors team and you find it hard to engage them into your innovation, startups project.
1. Show money and BMC not features. 2. Calculate staff turnover cost. 3. Show CEOs how you will protect the big corporate brand.
Please grab this podcast if you stuck in traffic :):)
I hope I help you a little in your corporate innovation effort. Good luck !!!
How startups and corporates can build a deal faster and quicker. In this episode you will learn from 7eleven, Fidelity, Wells Fargo and AT&T executives. Some of their tips:
1. Build timeframe expectations. 2. Answer phones and emails. 3. Engage and ask questions (not obvious for corporate guys) 4. Have a clear Value Proposition (startups)
learn more in the episode. Enjoy.
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Do Not Make These Mistakes When Responding To Startup Threat Speed:
1. Do not try converting your employees into "intrapreneurs" because its oxymoronic and will cost you. Like $10M.
2. Do not wait and see. Be a fast follower instead. Do this on the outside. Build from Lego blocks. AI is one.
3. By all means have a process if you want to work with startups. Especially if you don't acquire them outright and fully. Get startups to build for you. They are better at building new things.
4. Experiment to run fast like entrepreneurs do. Use half-finished prototypes to go to market to get to proof to shut down all politics and executives with years of experience of doing the same thing over and over again.
5. We studied #Fintech sectors at the flapping edge of disruptive Armageddon: shareholders are rewarding companies for experimenting.
6. Small teams are better at disruptive innovation 'cus they have no bills to pay or as, Stanford MBA's among you would say "solve for disruption, not vested interest."
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Arek & Maciek
Dear CEO, CMO, General Manager or innovation freak,
we have a new episode for you. Jump into this podcast and assimilate:
a) Entrepreneurs have always-on curiosity and fall in love with problems. Their obsession with problems is more than a 9–5 job.
b) Entrepreneurs leverage their ecosystem while companies fixate on internal specialists or buy expensively via consultants. Entrepreneurs crowdsource all the time. Delivers better skills and faster solves because ideas that bubble out of the ecosystem are more disruptive cus they connect the dots across different fields in more unusual ways. Hear about a marine biologist solving a tech company problem in the podcast.
c) More curious? Find out about a start-up that “triangulates” weather off mobile devices, conductivity, plus home based IOT and sells data to … airline and autonomous vehicle companies. Can energy go the way of email (hint: free data-driven model) and about the entrepreneur's version of the gas station of the future.
d) Because you attended a “Disrupt/Transform” conference last week may make you more energised, but this will pass. Companies naturally stifle all good ideals because they have a very good reason to. If you can afford to have your ego deflated work with entrepreneurs side by side as the least knowledgeable guy in the room. You’ll get to know the startup mindset. Contact us for details.
e) Be obsessed on the end-user. Drive solipsistically if/when there’s no end user yet by totally owning the product and problem. Solve for yourself.
f) Idea not working? Change tack quickly. YouTube’s original slogan was “Tune In, Hook Up.” Please don’t shout “pivot” every step of the way because nobody does that.
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Follow us on twitter.com/_100Hz
Find 100Hz on LinkedIn.
Arek & Maciek
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