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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?
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