Add to calendarAmerica/New_YorkArtificial Intelligence: Implications for Business Strategy10/09/2024
Seven week online course offered through GetSmarter with certification through MIT Sloan Executive Education
This online program from the MIT Sloan School of Management and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) challenges common misconceptions surrounding AI and will equip and encourage you to embrace AI as part of a transformative toolkit. With a focus on the organizational and managerial implications of these technologies, rather than on their technical aspects, you’ll leave this course armed with the knowledge and confidence you need to pioneer its successful integration in business.
Over the past year, the pace of Quantum and AI technology has moved rapidly. And with new developments, new challenges are also surfaced. Quantum computing represents a profound shift in the technology landscape, offering the potential to solve problems that are currently intractable for classical computers. Even with the advancement of Generative AI and capabilities of Large Language Models (LLMs), today's technological capabilities are limited in the face of Quantum possibilities.
Add to calendarAmerica/New_YorkQuantum & AI: Impact on Security10/09/2024
Over the past year, the pace of Quantum and AI technology has moved rapidly. And with new developments, new challenges are also surfaced. Quantum computing represents a profound shift in the technology landscape, offering the potential to solve problems that are currently intractable for classical computers. Even with the advancement of Generative AI and capabilities of Large Language Models (LLMs), today's technological capabilities are limited in the face of Quantum possibilities. When the challenges of quantum computing are overcome—error correction, noise reduction, scalability, etc.—the quantum computers of the future are likely to impact nearly every area of computer science, from AI to cybersecurity and beyond. Now is an opportune moment for forward-thinking companies to consider their quantum and AI strategy and learn about this emerging and exciting technology.
On October 9th, 2024, from 1-4pm, CSAIL Alliances, in collaboration with MIT’s Center for Quantum Engineering, will host a half-day event to explore Quantum and AI advances with a focus on the technology’s impact on Cybersecurity. Opening talks will start with CSAIL Director Professor Daniela Rus and the Director of the MIT Center for Quantum Engineering, Professor William Oliver. This symposium will feature two panels of experts exploring topics in quantum, AI, and cybersecurity. Q&A sessions with world-renowned researchers and leading industry practitioners with networking opportunities and informal discussions make this an important event to attend on campus. Join us for a pivotal conversation about the current state and future promise of quantum and AI.
1-1:15 Welcome, Professor Daniela Rus and Professor William Oliver 1:15-2:00 Panel 1: The Latest Advances in Quantum: Professor Aram Harrow, Professor Ike Chuang, Bharath Kannan: Co-Founder & Chief Executive Officer, Atlantic Quantum, Miguel Paredes: Senior Research Scientist, Dell Technologies, Moderator: Professor William Oliver 2:00-2:45 Panel 2: State of Quantum & Security: Professor Vinod Vaikunthanathan, Professor Anand Natarajan, Juliette Peyronnett: US General Manager, Alice & Bob, Moderator: Professor Daniela Rus
2:45-4:00 Networking with startups in the quantum space
Generative AI represents a seismic shift in the way we approach creative tasks. A comprehensive understanding of these technologies enables organizations to leverage the power of the technology to increase productivity, improve customer service, enhance user experiences, develop content, create synthetic data, enable new discoveries, and so much more! Save 10% with code CSAIL10.
Add to calendarAmerica/New_YorkDriving Innovation with Generative AI10/15/2024
Generative AI represents a seismic shift in the way we approach creative tasks. A comprehensive understanding of these technologies enables organizations to leverage the power of the technology to increase productivity, improve customer service, enhance user experiences, develop content, create synthetic data, enable new discoveries, and so much more! Save 10% with code CSAIL10.
Become an essential part of your organization’s generative AI journey by equipping yourself with the knowledge and skills necessary to navigate the intricate world of generative AI. This six-week course leverages industry case studies, hands-on work with generative AI tools, and the latest thinking from 12 faculty members from MIT CSAIL.
Want to learn more about the course? Attend our webinar on Tuesday, September 17, 2024 from 1:00-1:00 PM ET with MIT Professor Antonia Torralba. Learn more here.
Machine learning (the science of programming computer systems to learn from data), offers an opportunity to gain a powerful competitive edge in the business market, and is increasingly becoming a priority for managers and executives.
In this online course from the MIT Sloan School of Management and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), you’ll be guided to discover the business potential of machine learning, while developing strategies for effective implementation.
Add to calendarAmerica/New_YorkMachine Learning in Business10/16/2024
Machine learning (the science of programming computer systems to learn from data), offers an opportunity to gain a powerful competitive edge in the business market, and is increasingly becoming a priority for managers and executives.
In this online course from the MIT Sloan School of Management and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), you’ll be guided to discover the business potential of machine learning, while developing strategies for effective implementation.
This course focuses on the managerial implications of machine learning, while touching on certain technical aspects, in order to provide you with the deeper knowledge needed to craft an effective machine learning integration strategy.
