Startup festival Zero Barriers to Entry. Learn How To Compete! - Mike Montero

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Open source, APIs, cloud computing, real time, outsourcing and Mechanical Turk have commoditized all of the essential barriers that once existed to building a start up and leading. Ideas are a dime a dozen and with entrepreneurship on the rise and methodologies like Agile and Lean, execution is less and less a competitive mechanism for rising above your competition. Learn some of the new rules and trends for building a start up that gets recognized. Understand what potential employees, investors and partners look for to determine if your start up is going to be the winner.

Tecnología Empresariales

activate your audience Michael Montero, Co-founder/CTO CrowdTwist, Inc. How the hell do I compete as a start up?

Mike Who!?!?!

A Brief History of Time 1996-2001 Dot Crash 2002-2007 2007-2010 Title Technology Hell The Rise of Social Mobile Web How hard was funding? Very, Very Difficult Impossible Less Difficult Mixed

Why Is This Important? Jesse Conrad “ Learn the past, watch the present, and create the future.”

Welcome to the age of Infrastructure

Infrastructure Code Servers Design Bandwidth Storage RAM Unskilled labor Advice Data/Databases Processes Methodologies $

Four Things You DON'T Compete On Ideas Product Execution Money

We Are Competing For Limited Resources We are competing to stand out!

Competing: Your Product ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Competing: Your Team ,[object Object],[object Object],[object Object],[object Object]

Competing: Incubate/Accelerate YES

Competing: Your Partners Raise money Advisory boards Long term contracts Ask, ask, ask

Let's Discuss @MichaelMontero http://crowdtwist.com/ http://iotkfw.com/ [email_address] [email_address]

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Discord is a free app offering voice, video, and text chat functionalities, primarily catering to the gaming community. It serves as a hub for users to create and join servers tailored to their interests. Discord’s ecosystem comprises servers, each functioning as a distinct online community with its own channels dedicated to specific topics or activities. Users can engage in text-based discussions, voice calls, or video chats within these channels. Understanding Discord Servers Discord servers are virtual spaces where users congregate to interact, share content, and build communities. Servers may revolve around gaming, hobbies, interests, or fandoms, providing a platform for like-minded individuals to connect. Communication Features Discord offers a range of communication tools, including text channels for messaging, voice channels for real-time audio conversations, and video channels for face-to-face interactions. These features facilitate seamless communication and collaboration. What Does NSFW Mean? The acronym NSFW stands for “Not Safe For Work,” indicating content that may be inappropriate for professional or public settings. NSFW Content NSFW content encompasses material that is sexually explicit, violent, or otherwise graphic in nature. It often includes nudity, profanity, or depictions of sensitive topics.

Understanding Discord NSFW Servers A Guide for Responsible Users.pdf

Understanding Discord NSFW Servers A Guide for Responsible Users.pdf

Understanding Discord NSFW Servers A Guide for Responsible Users.pdf

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Advantages of Hiring UIUX Design Service Providers for Your Business

Advantages of Hiring UIUX Design Service Providers for Your Business

Pixlogix Infotech

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A Domino Admins Adventures (Engage 2024)

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Enterprise Knowledge’s Urmi Majumder, Principal Data Architecture Consultant, and Fernando Aguilar Islas, Senior Data Science Consultant, presented "Driving Behavioral Change for Information Management through Data-Driven Green Strategy" on March 27, 2024 at Enterprise Data World (EDW) in Orlando, Florida. In this presentation, Urmi and Fernando discussed a case study describing how the information management division in a large supply chain organization drove user behavior change through awareness of the carbon footprint of their duplicated and near-duplicated content, identified via advanced data analytics. Check out their presentation to gain valuable perspectives on utilizing data-driven strategies to influence positive behavioral shifts and support sustainability initiatives within your organization. In this session, participants gained answers to the following questions: - What is a Green Information Management (IM) Strategy, and why should you have one? - How can Artificial Intelligence (AI) and Machine Learning (ML) support your Green IM Strategy through content deduplication? - How can an organization use insights into their data to influence employee behavior for IM? - How can you reap additional benefits from content reduction that go beyond Green IM?

Driving Behavioral Change for Information Management through Data-Driven Gree...

Driving Behavioral Change for Information Management through Data-Driven Gree...

Driving Behavioral Change for Information Management through Data-Driven Gree...

Enterprise Knowledge

Boost Fertility New Invention Ups Success Rates.pdf

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sudhanshuwaghmare1

AWS Community Day CPH - Three problems of Terraform

AWS Community Day CPH - Three problems of Terraform

AWS Community Day CPH - Three problems of Terraform

Andrey Devyatkin

The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

Artificial Intelligence: Facts and Myths

Artificial Intelligence: Facts and Myths

Artificial Intelligence: Facts and Myths

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Tech Trends Report 2024 Future Today Institute.pdf

Tech Trends Report 2024 Future Today Institute.pdf

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Partners Life - Insurer Innovation Award 2024

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Startup festival Zero Barriers to Entry. Learn How To Compete! - Mike Montero

1. activate your audience Michael Montero, Co-founder/CTO CrowdTwist, Inc. How the hell do I compete as a start up?

2. Mike Who!?!?!

3. A Brief History of Time 1996-2001 Dot Crash 2002-2007 2007-2010 Title Technology Hell The Rise of Social Mobile Web How hard was funding? Very, Very Difficult Impossible Less Difficult Mixed

4. Why Is This Important? Jesse Conrad “ Learn the past, watch the present, and create the future.”

5. Welcome to the age of Infrastructure

6. Infrastructure Code Servers Design Bandwidth Storage RAM Unskilled labor Advice Data/Databases Processes Methodologies $

7. Four Things You DON'T Compete On Ideas Product Execution Money

8. We Are Competing For Limited Resources We are competing to stand out!

9.

10.

11. Competing: Incubate/Accelerate YES

12. Competing: Your Partners Raise money Advisory boards Long term contracts Ask, ask, ask

13. Let's Discuss @MichaelMontero http://crowdtwist.com/ http://iotkfw.com/ [email_address] [email_address]