Avsnitt
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Key Takeaways
Gokhan transitioned from academia to entrepreneurship after realizing the potential of AI.
His first startup, O'Leo, was born out of a need for automation in education.
Brainbase evolved from O'Leo, focusing on enterprise AI solutions.
Customer feedback is crucial for shaping product development and messaging.
The concept of the 'digital worker' is central to Brainbase's mission.
ROI in automation can be measured through clear metrics and pilot programs.
The 'black box test' helps identify automation opportunities within organizations.
AI can significantly improve the efficiency of enterprise operations.
Transparency in automation processes is essential for enterprise adoption.
Immigrant founders often possess unique grit and adaptability that contribute to their success.
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Key Takeaways
Negotiations are happening everywhere in life, from personal relationships to business deals.
AI can assist in negotiations by understanding potential terms, their value, and making trade-offs.
The future of negotiations involves both parties using AI agents to engage in continuous negotiations.
Transparency in AI decisions is important, and interfaces need to be developed to provide clarity and control.
Entrepreneurship and participating in an Ironman race require mental resilience, quick decision-making, and the ability to prioritize tasks.
In startups, it's important to postpone decisions that can be made later to gather more information and make smarter choices. Government contracts offer long-term and substantial opportunities for AI implementation.
AI negotiations can lead to competitive advantages and market dominance.
Regulations play a crucial role in ensuring transparency and accountability in AI negotiations.
The four-level negotiation intelligence framework categorizes AI negotiation use cases based on complexity and impact.
Building a foundation layer for AI in government services can lead to more efficient and innovative public services.
Estonia's e-residency program provides time and cost-saving benefits for startups.
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Saknas det avsnitt?
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During the interview with Alp Uguray and Jason Rosoff provided several key insights about Large Language Models (LLMs), Artificial Intelligence (AI) and their convergence to help people with coaching. Firstly, Rosoff mentioned that LLMs have the potential to be used as conflict resolution experts, acting as a more neutral intermediary between two parties in conflict. This could be particularly useful when emotions are high and an unbiased perspective is needed. LLMs can detect the content and emotion of what is being said and can provide feedback to the participants based on their analysis. Secondly, we discussed that AI has the potential to provide coaching and access to the knowledge and teachings of experts, making them more accessible to a broader audience. This means that more people can benefit from the expertise of professionals in various fields, regardless of their geographical location or financial constraints. Furthermore, AI can assist individuals in practicing complex social and intersocial skills. By simulating conversations and interactions, AI can help people improve their communication abilities and provide feedback from the audience to aid in their development.
This can be particularly valuable for individuals who struggle with social interactions or need to enhance their conversational skills. Additionally, AI can create safe practice spaces for individuals to engage in challenging conversations, such as those involving radical candor. These safe spaces allow individuals to practice and refine their communication techniques without fearing negative consequences or judgment. In conclusion, the key insights provided by Jason Rosoff during the interview with Alp Uguray highlight the potential of LLMs and AI in the coaching realm. LLMs can act as conflict resolution experts, detect content and emotion, and provide feedback. AI can provide coaching and access to expert knowledge, help individuals practice social skills, and create safe practice spaces for difficult conversations. These insights demonstrate the transformative impact of LLMs and AI in coaching and communication that we have yet to explore.
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I recently spoke with Dr. Eric Daimler about how we can build on the framework he and his colleagues established during his tenure as a contributor to issues of AI policy in the White House during the Obama administration. Eric is the CEO of the MIT-spinout Conexus.com and holds a PhD in Computer Science from Carnegie Mellon University. Here are the interesting results of my interview with him. His ideas are important as part of the basis for ACM SIGAI Public Policy recommendations. -
Some questions we discussed:
Founding Story of Ashling Partners and defining a manifesto that cultivates talent: Don & Marshall share their unique and inspiring founders’ story that led them to the path of finding Ashling Partners. Even before starting the company, they wrote what is known as the “Ashling Manifesto”, which highlighted the key principles that govern the people at Ashling to continuously improve and become a better version of themselves.
Process Mining, creating a frictionless enterprise: Proces Mining by revealing process bottlenecks and efficiencies and allowing to create of an end-to-end process experience is the key component to drive process improvement, optimization, and automation. By getting its own magic-quadrant, it shows a testament to the market that Process Mining is just at the beginning of its growth journey.
The impact of automation on businesses: Automation helps businesses increase efficiency, lower costs, and optimize processes. It allows employees to focus on higher-value tasks, leading to improved job satisfaction and productivity.
The importance of aligning automation with corporate objectives: There is a strong need to ensure automation projects align with a company's broader goals. This approach helps maximize the value and benefits of automation rather than just focusing on short-term cost savings.
The right time to automate: Companies should consider automation when the potential benefits outweigh the costs and risks associated with implementing new technologies. This includes considering the impact on employee engagement and job satisfaction, as well as the overall customer experience.
Balancing automation and human touch: We highlighted the importance of preserving human empathy and interaction in customer experiences while implementing automation. Automation should enhance the customer experience rather than solely focusing on cutting costs or reducing human involvement.
The role of executive leadership: The responsibility for ensuring a successful automation program falls on executive leadership. Leaders need to have the right perspective and focus on the correct KPIs and metrics, prioritizing long-term value creation and customer satisfaction.
The role and promise of Citizen Development Programs:
Enhancing employee and customer experience: The ultimate goal of automation should be to improve employee and customer experiences. This means not only saving time but also delivering greater value and fostering positive interactions that lead to increased customer loyalty and satisfaction.
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What inspired you to pursue a career in analytics and data science, and how did you get started?
You've written several books on the topic of analytics, including "Competing on Analytics" and "The AI Advantage." What led you to focus on these areas, and what insights have you gained from your research and writing?
How do you see the field of analytics evolving in the coming years, and what opportunities and challenges do you anticipate? In your opinion, what are some of the most important skills that aspiring data scientists and analytics professionals should cultivate?
Many organizations are struggling to effectively leverage their data assets. What advice would you give to leaders who are trying to build a data and AI-driven culture within their organizations?
You've also written about the ethics of AI and the potential risks associated with these technologies. What are some of the most pressing ethical concerns related to AI today, and how do you suggest we address them?
Finally, what advice would you give to students and young professionals who are just starting their careers in analytics and data science, and what qualities do you think are most important for success in this field?
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Some questions we discussed:
As a pioneer in your field, how did your journey begin that led you to explore the human-computer interface? What led you to explore this field?
As the builders of the future, we are told that what we invest our time in today creates what's next for the children of tomorrow. What is the number 1 thing that today's design thinkers think about differently, and what are some things that may lead to bad experiences?
This is more of an open-ended question. As robots and software continue to interact with humans, such as pizza shops that automatically create pizza, restaurants without servers, self-driving cars, and pilots, human-to-human interaction is replaced for efficiency, consistency, and less interactivity. As humanity continues to find ways to boost Customer Experience (CX) with automation, what's the future that's waiting for us? Do people want consistency and efficiency over interactivity at all costs? And how can the young generations shape the future of work for a better experience for all? What are your thoughts?
Optimism and honesty lead to positive outcomes. Similarly, the purpose and the design of a product don’t mean that the product, when adopted, will be used for the same reasons that it’s designed for; hence you can point to the many stories revolving around Facebook or cup to filter boiled pasta water, what are some of your strategies to collect constructive feedback?
One of the most exciting aspects of predicting the future is that we always think and forecast what will happen but do not focus on what won’t happen. What won’t happen depends on what the innovative and entrepreneurial minds choose not to do in the next few years and where the people do not want change to happen. Given that the world is investing a lot of time and money into the metaverse, it opens new doors for Human and Computer interactivity. New user controls and new ways to experience the world of computers. What are your thoughts on this, particularly around a future where everyone is wearing a helmet and sitting on a couch can be both bright and dark?
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Todd Schiller is the co-founder and CEO of PixieBrix, a company empowering everyone to customize their web and desktop applications for their use. With their low code platform, you can add a new button that triggers the automation, makes an API call, or change the UI for the UX your employees and customers need.
Before founding PixieBrix, he built knowledge management and business analytics tools for the world's most significant hedge funds and consumer companies. He holds a Ph.D. in Computer Science from the University of Washington, where he was a National Science Foundation Graduate Fellow
About the Episode
In today's episode, it was my absolute pleasure to host Todd Schiller, Co-Founder & CEO at PixieBrix. We met with Todd 1.5 years ago at a conference, and they got me to think about how this product can impact everyone’s interaction with digital applications. The episode was in the works for a while, and it is also my great honor to have him announce their $5.4 million in Series A close in this episode.
PixieBrix is building the future of User Experience for enterprise employees and beyond with their Low Code / No Code interface. By enabling users to change the user interface of any web application to make them well-suited for their needs, PixieBrix allows them to boost productivity.
That means you can simplify standard websites like LinkedIn or Salesforce to eliminate distractions and optimize your work. Changing the User Interface is powerful because you can add elements to websites and turn any standard site into your custom workspace.
At its core, PixieBrix is a browser extension that integrates with Chrome and allows you to add what they call "bricks" — or building blocks — to change the way any website looks and works. Each brick performs an action, such as; adding a button that runs automation or posts on LinkedIn for you. You can move the input prompt or change how data is visualized. In addition, many of the bricks automate tasks and can integrate with popular business services, such as Asana, Google Workspace, HubSpot, Salesforce, and Zapier.
PixieBrix takes its place in the Masters of Automation because they allow a new way to get work done. Their capability is not helping the UI of the apps that interact with humans but can also manipulate the UI of the websites that RPA robots interact. For example, if a button changes location too many times or user input is unextractable, use PixieBrix to modify the page for automation.
The opportunity here for process automation and enabling any user to increase their productivity is limitless, whether that applies to human-in-the-loop or end-to-end processing.
PixieBrix is a Master of Automation, and holds its place in the Future of Work technologies that change how we work.
Some questions we discussed:
What interested you in the UI / UX - low code, no code space?
What led you to start PixieBrix?
How does PixieBrix change in the future of work?
Citizen developer versus. Enterprise, how can people adopt it quickly and increase enterprise adoption?
Why should you care?
As technology gets democratized and accessible, all workers worldwide will have the tools to change the applications they interact with to personalize them. The personalization of the web and desktop applications for non-technical users is a revolutionary tech that will enable everyone to modify their everyday apps to increase productivity and efficiency while removing friction.
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Some questions we discussed:
How did you get into Process mining, and what led to people calling you the Godfather of Process Mining?
What was your first inspiration, driver, and reason to purpose Process Mining? What drove you forward?
Live transactional processing and execution management is core to achieving digital transformation. How do you see the process mining evolving over the years not to be only a tool but a product that touches each stage of the process transformation journey?
How do you see Process Mining's intersection with transactional processing within the blockchain? There is a great use case to track, monitor, and report the activities happening in the chain with PM and perhaps run some forecasts to identify fraudulent activities?
The announcement of the Innovation Lab in the Aachen Campus is an excellent example of you pioneering the open-source and accessibility culture for Process intelligence. What are you most excited about this?
Why should you care?
Hear Prof. Wil van der Aalst’s personal story of getting into the field with Petri nets and kick-starting the Process Mining Journey
Better understand the mistakes and lessons learned from the early days, applied to the present and the future of Process Mining technology
Explore new ideations of Process Mining technology’s capabilities like Process Mining for Blockchain
Widen your perspective by listening to the discussion on the new methodologies to build a Process Mining alliance and consensus across the countries and departments in organizations to improve widespread Supply Chain problems globally triggered by COVID-19, Ukraine War, and more.
- Visa fler
