Business AI Solutions

Research

Co-Intelligence: Living and Working with AI

In Co-Intelligence, Mollick urges us to engage with AI as co-worker, co-teacher, and coach. He assesses its profound impact on business and education, using dozens of real-time examples of AI in action. Co-Intelligence shows what it means to think and work together with smart machines, and why it’s imperative that we master that skill. ns to think and work together with smart machines, and why it’s imperative that we master that skill.

AI First: The Playbook for a Future-Proof Business and Brand

The authors began a journey of discovery to understand what the transition to an AI first world would mean. You’ll hear from a who’s who of tech visionaries who spoke with the authors, including Altman himself, Bill Gates, and Reid Hoffman, sharing how they’re thinking of the transition to the new reality. You’ll also hear from practitioners bold enough to be surfing this tidal wave of change, including one who audaciously mandated experimentation with AI for all his employees.

AI First: The Playbook for a Future-Proof Business and Brand

The authors began a journey of discovery to understand what the transition to an AI first world would mean. You’ll hear from a who’s who of tech visionaries who spoke with the authors, including Altman himself, Bill Gates, and Reid Hoffman, sharing how they’re thinking of the transition to the new reality. You’ll also hear from practitioners bold enough to be surfing this tidal wave of change, including one who audaciously mandated experimentation with AI for all his employees.

Artificial Intelligence

Older (2019) but the questions and answers are great – and so much of what is covered is still so relevant. From choosing your first AI project, to Why Companies That Wait to Adopt May Never Catch up… some real gold.

Prediction Machines

An updated version of a classic, where we will see that Stephen Hawking was right in saying “Everything civilization has to offer is the product of human intelligence. Success in creating AI will be the biggest event in human history.”

Prediction Machines

An updated version of a classic, where we will see that Stephen Hawking was right in saying “Everything civilization has to offer is the product of human intelligence. Success in creating AI will be the biggest event in human history.”

Videos

John Collision interviews Dario Amodei of Anthropic

Amodei addresses the unique challenges of the AI industry, including the continuous exponential growth of models, the “data wall” being overcome by reinforcement learning, and the retention of talent in a competitive environment. Finally, he touches on the importance of thoughtful AI regulation and the need for new product interfaces and development strategies that adapt to the fast-evolving AI technology.

OpenAI CEO Sam Altman talks about GPT5

Sam Altman, CEO of OpenAI, discusses the capabilities of GPT-5, highlighting its advancements in scientific and technical problem-solving, including its ability to generate software on demand. The conversation also delves into the future of AI, touching on concepts like super-intelligence, the challenges of distinguishing real from AI-generated content in 2030, and the potential impact of AI on jobs and society by 2035.

OpenAI CEO Sam Altman talks about GPT5

Sam Altman, CEO of OpenAI, discusses the capabilities of GPT-5, highlighting its advancements in scientific and technical problem-solving, including its ability to generate software on demand. The conversation also delves into the future of AI, touching on concepts like super-intelligence, the challenges of distinguishing real from AI-generated content in 2030, and the potential impact of AI on jobs and society by 2035.

Jensen Huang, CEO of Nvidia, on the future of compute

This video features an in-depth discussion on the future of AI and compute. They delve into the concept of “inference” going up by a billion times, and the shift from general-purpose computing to accelerated and AI computing, which they believe will refresh trillions of dollars of existing infrastructure. Finally, the discussion covers the broader implications of AI, including its potential to augment human intelligence and accelerate global GDP growth, and the importance of national AI infrastructure and attracting global talent.

Demis Hassabis, CEO of Google DeepMind, talks about AI

Google DeepMind CEO Demis Hassabis shared insights into AI, creativity, and the future of science. Hassabis detailed DeepMind’s role as the “engine room” of Google and Alphabet, integrating AI models like Gemini across various products. Finally, he discussed the potential of AI to accelerate scientific breakthroughs, emphasizing its eventual role in fields like robotics and drug discovery, predicting a new “golden era of science” within the next decade.

Demis Hassabis, CEO of Google DeepMind, talks about AI

Google DeepMind CEO Demis Hassabis shared insights into AI, creativity, and the future of science. Hassabis detailed DeepMind’s role as the “engine room” of Google and Alphabet, integrating AI models like Gemini across various products. Finally, he discussed the potential of AI to accelerate scientific breakthroughs, emphasizing its eventual role in fields like robotics and drug discovery, predicting a new “golden era of science” within the next decade.

Training

Learn essential AI training by Google

In-demand AI courses for today’s workforce
AI is changing how we work, offering new ways to make decisions, solve problems, and be more productive and creative. Learn how to harness these benefits with practical AI training and tools from Grow with Google.

AI Foundations for Everyone

This specialization is designed for those with little or no background in AI, whether you have technology background or not, and does not require any programming skills. It is designed to give you a firm understanding of what is AI, its applications and use cases across various industries. You will become acquainted with terms like Machine Learning, Deep Learning and Neural Networks.

Unlock the opportunities of the AI era

People around the world are embracing generative AI to solve complex problems and enhance creativity, productivity, and learning. OpenAI Academy will help them harness AI’s transformative power through workshops, discussions, and digital content – ranging from foundational AI literacy to advanced integration for engineers.

Accelerate your AI learning

Accelerate your AI learning with resources tailored for technical and business roles to support AI skill development for individuals and organizations. Find curated AI training for any level of AI fluency, like designing and customizing agents at scale with Azure AI Foundry, advancing your expertise in managing AI workloads with Microsoft 365 Copilot, unleashing your creativity and productivity with Microsoft Copilot, and more.

Learn more in-depth about AI

Get in the know with Anthropic resources. From API development guides to enterprise deployment best practices, the academy has you covered. Learn more in-depth about AI Fluency, API development, Model Context Protocol and Claude Code. Earn certificates upon completion.

CS50: Introduction to Computer Science

CS50x, offered by Harvard University, is an introductory course to computer science and programming, welcoming students of all backgrounds, regardless of prior experience. It focuses on teaching problem-solving and algorithmic thinking through a curriculum that covers key computer science concepts like abstraction, algorithms, data structures, and more. The course uses languages such as C, Python, SQL, JavaScript, CSS, and HTML. CS50x is the online counterpart of CS50, Harvard’s most popular course.

Services

Prioritize Business AI Solutions

Identifying the right problem or opportunity is the crucial first step. This involves understanding the business needs, potential areas of improvement, and where AI can provide value. Clear identification sets the foundation for a successful AI project.

Prioritize Business AI Solutions

Once identified, prioritize the identified challenges or opportunities based on their impact and feasibility. We consider factors such as the potential for improvement, resource availability, and strategic alignment with business goals. This step helps in focusing efforts on the most impactful AI solutions.

Prioritize Business AI Solutions

In-depth research is vital to understanding existing solutions, algorithms, and technologies relevant to the identified problem. We stay updated on the latest developments in AI and ensure a comprehensive understanding of the domain before moving forward.

Prioritize Business AI Solutions

Designing the AI solution involves creating a blueprint for the system. Define the architecture, data requirements, and algorithms to be used. We pay attention to scalability, flexibility, and ethical considerations during the design phase.

Prioritize Business AI Solutions

The actual development of the AI solution takes place in this phase. Writing code, implementing algorithms, and integrating the solution into the existing business infrastructure. Rigorous testing is essential to ensure the system performs as expected.

Prioritize Business AI Solutions

Deploying the AI solution into the real-world business environment is a critical step. We monitor its performance, gather feedback, and make any necessary adjustments. This phase involves transitioning from development to active use.

Prioritize Business AI Solutions

Ongoing management is key to the success of AI solutions. This includes monitoring performance, handling updates, and ensuring continued alignment with business objectives. Regular evaluations and adaptations are crucial in the dynamic landscape of AI technology.

Board / Executive Advisor

(100 hours / year)

Advisory Role: Offering 100 hours annually to guide the Board of Directors and Executive team, leveraging a lifetime of successful business expertise. Specializing in Artificial Intelligence, Machine Learning, and New Technology, I provide strategic insights and innovative solutions to drive forward-thinking decisions and cutting-edge advancements in these dynamic fields.

Experts

Andrew Ng

Founder and CEO of Landing AI, Founder of deeplearning.ai, General Partner at AI Fund
Andrew Ng is a computer scientist and entrepreneur who was born on April 18, 1976, in London, UK. He earned his undergraduate degree in Computer Science from Carnegie Mellon University and later acquired a Master's from MIT, followed by a Ph.D. from the University of California, Berkeley. Ng is best known for his significant contributions to the field of machine learning and artificial intelligence (AI). He co-founded Google Brain, a deep learning project at Google, and later joined Baidu as Chief Scientist to spearhead its AI initiatives. He is also the co-founder of Coursera, an online education platform. Interestingly, Ng was one of the earliest advocates of the modern MOOC (Massive Open Online Course) model and has an influential course on machine learning that has been taken by millions worldwide. He has published over 100 research papers in machine learning, robotics, and other related areas, making him one of the most cited authors in these fields.

Demis Hassabis

Co-founder and CEO of Deep Mind
Demis Hassabis is a British artificial intelligence researcher, neuroscientist, video game designer, entrepreneur, and polymath, born on July 27, 1976, in London. He attended the University of Cambridge, where he received a Double First in Computer Science. Subsequently, he earned a Ph.D. in Cognitive Neuroscience from University College London. Hassabis is best known as the co-founder and CEO of DeepMind, an AI research lab acquired by Google in 2014. The lab achieved global recognition for developing AlphaGo, a computer program that defeated the world champion Go player, marking a significant milestone in AI research. Demis Hassabis has a wide range of interests and accomplishments; he was a chess prodigy and even dabbled in video game design before fully diving into AI and neuroscience. He has received numerous awards, including being named in the Time 100 list of most influential people, and has published research in high-impact journals, solidifying his reputation as a leading figure in artificial intelligence.

Yann LeCun

Chief AI Scientist at Meta (Facebook)
Yann is the Chief AI Scientist for Facebook AI Research (FAIR), joining Facebook in December 2013. He is also a Silver Professor at New York University on a part-time basis, mainly affiliated with the NYU Center for Data Science, and the Courant Institute of Mathematical Sciences. He is a member of the US National Academy of Engineering, a fellow of AAAI, the recipient of the 2014 IEEE Neural Network Pioneer Award, the 2015 IEEE Pattern Analysis and Machine Intelligence Distinguished Researcher Award, the 2016 Lovie Award for Lifetime Achievement, the University of Pennsylvania Pender Award, and received honorary doctorates from IPN, Mexico and EPFL. He is the recipient of the 2018 ACM Turing Award (with Geoffrey Hinton and Yoshua Bengio) for "conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing."

Sam Altman

CEO of OpenAI
Sam Altman is an American entrepreneur and investor, born on April 22, 1985, in St. Louis, Missouri. He attended Stanford University but dropped out after just a few years to pursue his entrepreneurial interests. Altman first gained recognition as the co-founder of Loopt, a location-based social networking company. He is also known for his role as the president of Y Combinator. Under his leadership, Y Combinator expanded its reach and influence significantly. In 2019, Altman took on the role of co-chairman of OpenAI, an artificial intelligence research lab. He is now the CEO of OpenAI and leading the field of deploying safe AI. He has been an influential voice in the tech community, advocating for responsible AI development and broader access to economic opportunity. He is outspoken on topics like universal basic income and the future of technology.

Emad Mostaque

Founder and Former CEO of Stablilty AI, Founder of Intelligent Internet
Emad Mostaque, aged 40, is an Oxford graduate with a noteworthy career in the finance sector, having spent a decade working for hedge funds in the UK. Diagnosed with Asperger's, his unique perspective has contributed to his professional success. Mostaque is highly regarded for his insights into macroeconomics, geopolitics, and markets. In addition to his career in hedge funds, he is also known for his role as the CEO of Stability AI, the company behind Stable Diffusion. Emad left Stability AI as CEO and the seat of the board of directors at Stability to pursue decentralized AI. This is a good video showing his thoughts (2.5 hours long). https://www.youtube.com/watch?v=Se91Pn3xxSs Emad now works at Intelligent Internet Inc. They are working on making an open-source Intelligent Internet AI.

Ian Goodfellow

Machine Learning Reseach Scientist
Ian Goodfellow is a prominent figure in the field of machine learning and artificial intelligence, particularly known for his work on Generative Adversarial Networks (GANs). He introduced the concept of GANs in 2014, a groundbreaking framework that allows for the generation of complex data distributions, such as images, by training two neural networks in a competitive setup. This has had a profound impact on various applications, including image synthesis, data augmentation, and unsupervised learning. Goodfellow has also contributed to other areas of deep learning, such as semi-supervised learning and adversarial training. He earned his Ph.D. from the Université de Montréal and has held positions at companies like Google, OpenAI, and Apple. Currently, He is a research scientist at DeepMind. His work has been recognized with numerous awards and he is often invited to speak at major conferences, making him a key influencer in the advancement of modern AI technologies.

Working Groups

Harvard Working Group

The Harvard Working Group is currently FULL. Some of us who attended the same classes on AI and Professional Services meet to discuss our current AI Projects – and to share ideas on how to find the AI best talent. If you attended Harvard, and work in AI, and would like to chat – contact Rick Stark.

MIT Workings Group

MIT 2023 – 2024 AI Class Working Group. This group is for attendees of the MIT AI courses in the 2023 – 2024 class year. If you were / are a part of this MIT cohort, please contact us if you are interested in joining a group with a few other students.

MIT Working Group

MIT 2023 – 2024 AI Class Working Group. This group is for attendees of the MIT AI courses in the 2023 – 2024 class year. If you were / are a part of this MIT cohort, please contact us if you are interested in joining a group with a few other students.

LLM Working Group

The Large Language Model group has wrapped up its sessions. We might be looking to start another LLM group in the future – let us know if you have an interest.

AI and ML Working Group

AI and ML Working Group is forming for Q2 of 2024.  Rick is looking to start a new general working group on AI and Machine Learning.  We are hoping to get 6 – 8 professionals to meet monthly and compare notes / progress on projects, swap ideas and share thoughts on current AI and ML work.

AI and ML Working Group

AI and ML Working Group is forming for Q2 of 2024. Rick is looking to start a new general working group on AI and Machine Learning. We are hoping to get 6 – 8 professionals to meet monthly and compare notes / progress on projects, swap ideas and share thoughts on current AI and ML work.