The History of Artificial Intelligence: Philosophy, Mathematics and the Future

The History of Artificial Intelligence: Philosophy, Mathematics and the Future

There are a lot of doomsayers, predicting the rise of intelligent machines who at best live hedonistic lives of leisure and, at worst, annihilate us. AI is not killer robots, emotionally complex heroines, and it’s not one single entity. Sure, the future as we know it will look dramatically different. AI itself is nothing new.

Enterprise Solutions Playlist

The History of Artificial Intelligence: Philosophy, Mathematics and the Future

There are a lot of doomsayers, predicting the rise of intelligent machines who at best live hedonistic lives of leisure and, at worst, annihilate us. AI is not killer robots, emotionally complex heroines, and it’s not one single entity. Sure, the future as we know it will look dramatically different. AI itself is nothing new.

AI is Not One Thing and It Involves Various Skill Sets to Achieve it at Scale

Without the brainpower to execute against their high-tech initiatives, companies seeking to disrupt their industries are falling behind, and instead, they are now becoming susceptible to being disrupted themselves. AI isn’t one thing, it’s not one department, and it involves various skill sets. Hypergiant is an accomplished team of consultants, advisors, data scientists, engineers, creative technologists, and experience designers with success across all industries at scale.

AI In the Enterprise Mission Statement Framework

We’re living in the golden age of data. We have data repositories of unfathomable size, which makes traditional meat-bag analysis impossible. That’s where artificial intelligence comes in. What does AI in the enterprise mean?  Before approaching an AI project, use this mission statement framework to help determine your strategy and success. 

Predictive AI: It's Not Magic, It's Data and Planning

There are so many different ways to solve business problems with AI. As Albert Einstein said, “we cannot solve our problems with the same thinking we used when we created them.” So you want to be predictive? Start strategizing by asking the right questions about the user, business problem and data to identify the business pain point. Quickly you will find out AI is not magic, it's data and a result of good planning. 

Hypergiant A Better World

In addition to creating innovative AI solutions for Fortune 500 companies, Hypergiant is driven to make technology oriented towards improving global conditions in realms ranging from climate change and cybersecurity to smart cities and disaster relief. Bill Nye, CEO of the Planetary Society and Hypergiant advisor, talks about building a better world and tomorrowing today with Hypergiant.

The Organization of the Future: Change Management and Building Trust in the Age of Digital Business

As companies stay the course and look to the future when workers begin returning to the office — leaders need to understand the complexities of navigating change management and building trust in the age of digital business. Learn what the organization of the future will look like from c-suite executives who have pivoted, implemented strategic programs and distributed teams in a new era where technology and humanity align.

AI's answer to climate change: Made Possible by Arm

The optimal time to plant trees to address our current climate crisis was decades ago. There has never been a more critical time for innovators to step up and use their powers for good to fight this common enemy. The team at Hypergiant is leading by example, pairing one of the world's oldest and most unassuming natural resourced — algae — with powerful AI technology to create clean air and green sustainability solutions for cities, companies, and individuals all over the world. And it's all #MadePossibleByArm.

Artificial Intelligence at Scale Playlist

Part 1: Introduction to AI

AI has a deep history, rooted in philosophical concepts – with its adoption, there are ethical, cultural and other foundational questions that need to be addressed within an organization – issues that are not normally considered with the introduction of a new technology.

Part 2: Why AI Takes Internal Disruption First

AI at scale is impossible without system design in place complemented by a fundamental assessment of any associated business processes. Some call it digital transformation but that aged terminology establishes past practices and ties us to the way we’ve always done technology and doesn’t truly set the “enterprise” up for future success. Learn why AI takes internal disruption first and hear examples from the aviation industry. 

Part 3: A Framework For AI in the Enterprise

Through 2021, 75% of AI projects will remain at the prototype level as AI experts and organizational functions cannot engage in a productive dialogue. With all the investment, interest and funding, are we overpromising and underdelivering? This panel explores the potential of entering another AI winter and offers a framework for AI in the enterprise. 

Part 4: AI Use Cases at Scale

AI promises to be one of the most disruptive and innovative classes of technologies during the next 10 years. Yet, to maximize value delivery you must dig into a rich goldmine of real-world AI experience to prioritize value cases and find sources of transformative business value.  

Part 5: Ethics in AI & Customer Experience

Artificial Intelligence has potential risks companies in some cases are not ready to manage. An Ethics framework can help companies develop a more trust-based relationship with their consumers and society-at-large.

Part 6: The Future of AI

The most powerful manifestations of Artificial Intelligence occurs when an organization is given the ability to see their world through the lens of an AI. Now spatial models enable organizations to remotely observe, analyze and learn from their physical environments in ways that have never been possible before.